Cohort retention in a pandemic response study: Lessons from the SARS-Cov-2 Immunity & Reinfection Evaluation (SIREN) study

Cohort retention in a pandemic response study: Lessons from the SARS-Cov-2 Immunity & Reinfection Evaluation (SIREN) study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Cohort retention in a pandemic response study: Lessons from the SARS-Cov-2 Immunity & Reinfection Evaluation (SIREN) study Anna Howells, Katie Munro, Sarah Foulkes, Atiya Kamal, Jack Haywood, and 8 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4360908/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Jan, 2025 Read the published version in BMC Medical Research Methodology → Version 1 posted 10 You are reading this latest preprint version Abstract Background The SIREN Study is a healthcare worker cohort study aiming to determine COVID-19 incidence, duration of immunity and vaccine effectiveness across 135 NHS organisations in four UK nations. Conducting an intensive prospective cohort study during a pandemic was challenging. We designed an evolving retention programme, utilising participant engagement tools underpinned by our Participant Involvement Panel (PIP) and here we evaluate cohort retention over time and identify learnings. Methods A mixed method evaluation of cohort retention in 12 and 24-month follow-up. We described cohort retention by demographics and site, using odds ratios from logistic regression. Withdrawal reasons were collected by survey. We collected participant feedback via cross-sectional online survey utilising a behavioural science approach. We conducted focus groups with site teams and conducted thematic analysis exploring cohort retention challenges and facilitators. Results 37,275 (84.7%) participants completed 12-months of follow-up. Of 14,772 participants extending their follow-up to 24 months, 12,635 (85.5%) completed this. Retention increased with age in the 12 (55–64 years vs 65 years vs < 25 years OR = 2.92; 95% CI: 1.78–4.88) cohorts. Retention was highest in the Asian and Black compared to White ethnic groups in the 12 (OR = 1.38; 95% CI: 1.23–1.56; p < 0.001, and OR = 1.64; 95% CI: 1.30–2.08) and 24-month (OR = 1.78; 95% CI: 1.42–2.25; p < 0.001, and OR = 2.12; 95% CI: 1.41–3.35) cohort. Among participants withdrawing, the median time in follow-up at withdrawal was 7 months (IQR: 4–10 months) within the 12-month cohort and 19 months within the 24-month cohort (IQR: 16–22 months). The top three reasons for participant withdrawal were workload, leaving site employment and medical reasons. Themes identified from focus-groups included: the need to monitor and understand participant motivation over time, the necessity of inclusive and comprehensive communication, the importance of acknowledging participant contributions, building collaboration with local research teams, and investing in the research team skillset. Conclusion Participant retention in the SIREN study remained high over 24-months of intensive follow-up, demonstrating that large-cohort studies are feasible as a pandemic research tool. Insights into facilitators and challenges provide learning for future studies. Cohort retention pandemic response COVID-19 participant involvement participant engagement SIREN SARS-CoV-2 coronavirus Figures Figure 1 Figure 2 BACKGROUND The SARS-CoV-2 Immunity and Reinfection Evaluation (SIREN) Study is a prospective multicentre cohort study established to evaluate the immune response to SARS-CoV-2 following infection and vaccination in UK healthcare workers. Study participants are NHS staff working at healthcare organisations that have joined the study as SIREN sites. Participants from all occupations were eligible to join the study, which includes administrative, executive and support staff, resulting in a broad representation of the NHS workforce [ 1 ]. Cohort studies represent an important research-tool, yet participant retention remains notoriously challenging. SIREN has run for multiple years and participation involves repeated assessments at two weekly intervals, both of which can increase attrition due to the significant burden on participants [ 2 ]. Maximising cohort retention can also benefit longitudinal studies through reducing administration costs and improving the efficiency of research processes [ 3 ]. A high attrition rate can reduce the generalisability of outcomes and the statistical power to detect effects of interest [ 2 ] and increases the risk of bias, particularly if those lost to follow-up differ from those retained in the study [ 4 ]. In recent years a growing evidence base of cohort retention strategies for longitudinal studies has developed [ 2 – 5 ], however heterogeneity in approach is common given the unique and study-specific context of research questions, methodology, settings and population groups. Nevertheless, common cohort retention strategies have emerged in addition to agreement about the resources needed to deliver these strategies. A recent systematic review of 95 longitudinal cohort studies [ 2 ] highlights four key cohort retention strategies: barrier reduction, community building, follow-up and tracing. In addition, it is most common for studies to employ a multifactorial approach to cohort retention [ 3 ] to allow for individual participant preference. The literature suggests dedicated staff who receive training in participant engagement, the ability to collect data on retention over time and ongoing evaluation are key resources [ 3 – 5 ]. The COVID-19 pandemic dramatically changed the health research landscape, presenting new challenges to recruiting and retaining participants in longitudinal cohort studies [ 5 ]. This is particularly true for studies involving healthcare workers (HCW) as this cohort were at the frontline of the pandemic response, resulting in increased workloads, physical and mental ill health for many [ 6 – 8 ], likely reducing and restricting staff availability or motivation to participate in research studies. It is within this challenging context that the SIREN study was established and designed an evolving and multifactorial cohort retention programme, incorporating approaches to participant engagement and involvement. The SIREN approach to cohort retention includes a focus on participant engagement and involvement (Fig. 1). Table 1 provides an overview of frequently cited cohort retention strategies and resources with a comparison to the SIREN study approach. This shows that SIREN has developed the key resources needed to support cohort retention, including dedicated staff, the ability to track retention over time and investing in ongoing evaluation. SIREN has focused on reducing barriers to participation, particularly through the SIREN Participant Involvement Panel (PIP). The PIP is a panel of participants who meet regularly and provide guidance and feedback to SIREN researchers on key research priorities, proposed study changes and strategies for maximising participant engagement [ 13 ]. The full learning and impact of the PIP is reported elsewhere [ 13 ]. In terms of community building, SIREN produces regular digital newsletters and hosts interactive webinars, and follow-up approaches include email or SMS reminders. SIREN does not undertake tracing strategies recommended in the literature, although in addition to direct participant contact SIREN has utilised site teams as a further avenue for communication with participants. Table 1 Key cohort retention strategies identified in the literature with comparison to the SIREN study approach Category Included in SIREN approach Detail Resources [ 4 ] Dedicated staff and training [ 4 ] ✓ • SIREN research staff with specific responsibilities for cohort retention. • Collaboration with British Society for Immunology to run the SIREN PIP. • Formal training in retention methodology not widely available. Retention tracked over time ✓ • Monthly retention figures produced with trends by age group, gender, ethnic group, staff group, region and site size. Ongoing evaluation ✓ • Retention figures regularly reviewed and disseminated to SIREN research team and sites. • Monitoring and exploration of reasons for withdrawal via the withdrawal survey. • Central SIREN inbox management and monitoring. • Close out process offered to all participating sites which includes opportunity for research teams to provide feedback. • Regular meetings with the PIP who provide feedback on proposed study changes, participant engagement activities general feeling among participants. Strategies [ 2 , 3 ] Barrier reduction Includes flexible methods of data collection, offering site and home visits, consistent research team members, engaging a participant sub-sample to evaluate data collection methods ✓ • SIREN has maintained the same leadership for the duration of the study who are visible to participants via newsletters, webinars and videos. • SIREN data collection includes regular online surveys, serology samples, PCR and LFD tests. Participant schedules vary depending on their study pathway and it is common for SIREN site teams to offer flexibility for sample collection / drop off. • The PIP provides a forum for feedback on study approaches including data collection. Community building Includes thank you messages, creating a recognisable study brand and the sharing of study results ✓ • SIREN logo is included on all study material. • SIREN provides regular digital newsletters which includes key study updates and findings and thank you messages to acknowledge key study milestones. • SIREN provides a dedicated webpage, hosts live webinars for participants and has created a video series to showcase the study. • SIREN has provided tokens of appreciation for participants including stickers, certificates and mugs and badges for site teams Follow-up Includes cash or voucher incentives, phone calls, SMS, mail and email reminders, house visits ✓ • SIREN has provided voucher incentives as part of prize draws • SIREN participants can select to be contacted via SMS or email. Tracing Includes collecting details of alternative contact persons, using public or non-public records to find updated contact information and use of locator documents X • SIREN does not rely on alternative records to find updated contact information. • Site research teams play an important role in monitoring participant follow-up. The aim of this study is to evaluate retention among the 24-month follow-up cohort, analysing corresponding retention figures and participant and NHS site feedback to inform lessons for future studies. METHODS Study design A mixed-method process and outcome evaluation of our evolving cohort retention programme involving qualitative and quantitative analysis nested within a national, multicentre prospective cohort study [ 1 ]. Study population SIREN participants are healthcare workers and support staff aged 18 years and over who worked at enrolment at any of the 135 NHS hospital or health board SIREN sites across the United Kingdom. SIREN study participants and SIREN site teams (individuals involved in running the SIREN study at participating organisations) took part in this evaluation. Outcomes The primary outcome was the proportion of participants completing their scheduled follow-up period. Secondary outcomes included reasons for withdrawal, trends in withdrawals over time, participant engagement and participant experience of their study involvement. Data sources Enrolment, follow-up and withdrawal surveys Participant demographic data (including age, ethnic group, job role and geographic location) were collected on all participants via the online enrolment survey (SnapSurvey [ 9 ], software that is used for all participant surveys). Data from fortnightly follow-up surveys was used to gauge participant engagement. Participants who chose to withdraw prior to the completion of their scheduled follow-up period were asked to fill out an online survey with eight categories of withdrawal reasons provided, in addition to an “other” free-text option. Participant feedback survey A cross-sectional survey to capture participant feedback was conducted in October-November 2022. A behavioural science approach was used to develop survey questions using the Capability, Opportunity, Motivation, Behaviour (COM-B) model [ 10 ]. The survey was sent to participants directly via email or text (dependent on stated communication preference), highlighted in subsequent issues of the SIREN digital newsletter and referenced at monthly site meetings for onward distribution by site teams. Participants were sent a reminder about the survey a week before the closing date. Focus groups Two focus groups with SIREN site teams took place in February 2023 to form part of study evaluation. Focus groups were advertised to SIREN site teams via regular monthly meetings and via digital newsletters. Each focus group attendee was offered an honorarium in line with National Institute for Health and Care Research (NIHR) guidance [ 11 ]. Attendees for focus groups were selected to represent as broad a range of SIREN sites as possible with consideration of demographic groups such as gender, age, ethnicity and staff group. Focus groups were held over Microsoft Teams [ 12 ] and facilitated by two external partners with expertise in qualitative research. Focus groups respondents were asked to describe how they had managed participant retention at their site, the challenges they had encountered and what helped with retention. Data analysis Retention We used completion of 12 and 24-months of follow-up on or before 31 March 2023, as the primary outcome of our statistical analysis. We described cohort retention in the 12 and 24-month cohorts overall, and by age group, gender, ethnic group, staff group and site size using odds ratios from logistic regression. Withdrawals Using responses to the withdrawal survey, we reported the frequency of reasons for withdrawal among participants in the 12 and 24-month cohorts and highlighted trends in withdrawal reasons over time. Participant withdrawals were analysed by both person-time contributed to the study and by calendar month. Engagement We used the average number of fortnightly SIREN follow-up surveys completed by participants who completed the first 12 months of follow-up as an outcome for study engagement. Feedback Participant feedback survey responses were analysed by demographic groups and key findings reported. Feedback survey responses in addition to open text responses captured in the withdrawal survey were analysed using the COM-B model as a framework to understand whether participants had the capability, opportunity and motivation necessary to undertake the desired behaviour (continued participation in the SIREN study). Participant feedback was also collected in the withdrawal survey, in a free-text field. Responses were first categorised as positive, negative or neutral, and then according to the COM-B framework as above. Focus groups Transcripts from focus groups were coded by two independent researchers using the constant comparison analysis approach to thematically frame the analysis. RESULTS Participant retention Of the 44,543 participants recruited into 12 months of follow-up at 135 SIREN sites, 37,725 (84.7%) completed their 12-months of follow-up (Table 2 a). Extension into a second year of follow-up was offered at 87 SIREN sites, and 14,772 participants at these sites consented to extend their follow-up to 24 months. Of these, 12,635 (85.5%) participants completed their 24-month follow-up (Table 2 b). Table 2 a. Retention in the 12-month of follow-up cohort, by demographics, staff type and SIREN site size Characteristic Number of participants consented to 12 months of follow-up Completed 12 months of follow-up n (%) Odds ratio (OR) 95% confidence interval p-value Gender Female 36,852 31,348 (85.1) Ref Ref Ref Male 7,212 6,245 (86.6) 1.13 1.04, 1.22 0.004 Other 65 56 (86.2) 1.33 0.66, 3.06 0.461 Age group Under 25 1,741 1,333 (76.6) Ref Ref Ref 25 to 34 8,929 7,140 (80.0) 1.18 1.04, 1.33 0.009 35 to 44 10,773 9,299 (86.3) 1.86 1.64, 2.10 < 0.001 45 to 54 13,082 11,596 (88.6) 2.32 2.05, 2.63 < 0.001 55 to 64 8,540 7,617 (89.2) 2.50 2.19, 2.85 < 0.001 Over 65 688 608 (88.4) 2.34 1.81, 3.05 < 0.001 Ethnicity White 38,680 32,858 (84.9) Ref Ref Ref Asian 3,238 2,861 (88.4) 1.38 1.23, 1.56 < 0.001 Black 885 797 (90.1) 1.64 1.30, 2.08 < 0.001 Mixed Race 680 570 (83.8) 1.01 0.82, 1.26 0.894 Other Ethnic Group 557 488 (87.6) 1.23 0.95, 1.61 0.124 Prefer not to say 89 75 (84.3) 0.79 0.46, 1.48 0.436 Staff type Nursing 14,904 12,762 (85.6) Ref Ref Ref Administrative/Executive 6,653 5,609 (84.3) 0.84 0.77, 0.91 < 0.001 Doctor 5,219 4,504 (86.3) 1.01 0.92, 1.12 0.816 Healthcare Assistant 3,647 3,078 (84.4) 0.91 0.82, 1.01 0.088 Healthcare Scientist 2,516 2,130 (84.7) 1.00 0.89, 1.13 0.988 Student 1,507 1,297 (86.1) 1.02 0.88, 1.20 0.758 Therapist 1,815 1,503 (82.8) 1.01 0.88, 1.16 0.894 Midwife 954 829 (86.9) 1.19 0.98, 1.46 0.092 Pharmacist 930 784 (84.3) 1.06 0.88, 1.29 0.566 Estates/Porters/Security 703 607 (86.3) 0.99 0.78, 1.25 0.900 Other 5,281 4,546 (86.1) 1.07 0.98, 1.18 0.155 Site size (number of participants) Small ≤ 200 5,203 4,445 (85.4) Ref Ref Ref Medium 201–800 32,118 27,469 (85.5) 1.00 0.91, 1.09 0.952 Large > 800 7,222 5,811 (80.5) 0.75 0.68, 0.84 < 0.001 Total 44,543 37,725 (84.7) Note: Ref = reference group Table 2 b. Retention in the 24-month of follow-up cohort, by demographics, staff type and SIREN site size Characteristic Number of participants consented to 24 months of follow-up Completed 24 months of follow-up n (%) Odds ratio (OR) 95% confidence interval p-value Gender Female 12,379 10,577 (85.4%) Ref Ref Ref Male 2,325 2,031 (87.4%) 1.15 1.00, 1.32 0.054 Other 20 18 (90.0%) 1.33 0.37, 8.44 0.709 Age group Under 25 233 176 (75.5) Ref Ref Ref 25 to 34 1,996 1,584 (79.4) 1.23 0.89, 1.69 0.204 35 to 44 3,562 3,022 (84.8) 1.80 1.30, 2.45 < 0.001 45 to 54 5,118 4,540 (88.7) 2.58 1.87, 3.51 < 0.001 55 to 64 3,508 3,072 (87.6) 2.34 1.69, 3.19 < 0.001 Over 65 259 232 (89.6) 2.92 1.78, 4.88 < 0.001 Ethnicity White 13,009 11,071 (85.1) Ref Ref Ref Asian 965 875 (90.7) 1.78 1.42, 2.25 < 0.001 Black 317 293 (92.4) 2.12 1.41, 3.35 < 0.001 Mixed Race 217 196 (90.3) 1.71 1.11, 2.78 0.021 Other Ethnic Group 190 167 (87.9) 1.23 0.81, 1.96 0.358 Prefer not to say 26 24 (92.3) 3.62 0.75, 65.1 0.209 Staff type Nursing 4,944 4,287 (86.7) Ref Ref Ref Administrative/Executive 2,357 1,968 (83.5) 0.74 0.64, 0.85 < 0.001 Doctor 1,786 1,542 (86.3) 0.86 0.73, 1.02 0.088 Healthcare Assistant 972 845 (86.9) 0.99 0.81, 1.22 0.933 Healthcare Scientist 890 763 (85.7) 0.98 0.79, 1.21 0.812 Student 418 366 (87.6) 1.17 0.86, 1.62 0.347 Therapist 617 498 (80.7) 0.76 0.61, 0.95 0.014 Midwife 315 274 (87.0) 1.01 0.73, 1.45 0.935 Pharmacist 364 308 (84.6) 0.90 0.67, 1.23 0.498 Estates/Porters/Security 264 235 (89.0) 1.11 0.75, 1.71 0.602 Other 1,797 1,540 (85.7) 0.98 0.84, 1.16 0.849 Site size (number of participants) Small ≤ 200 1,920 1,642 (85.5) Ref Ref Ref Medium 201–800 10,851 9,329 (86.0) 1.05 0.91, 1.21 0.517 Large > 800 2,001 1,664 (83.2) 0.86 0.72, 1.02 0.087 Total 14,772 12,635 (85.5) Participant retention decreased gradually over time (Fig. 2). Retention in the 12-month cohort was slightly higher among male participants compared to female participants (odds ratio (OR) = 1.13; 95% CI: 1.04–1.22; p = 0.004). Retention increased with age (55–64 years vs < 25 years OR = 2.50; 95% CI: 2.19–2.85; p < 0.001). Retention was highest in the Asian and Black ethnic groups (OR = 1.38; 95% CI: 1.23–1.56; p < 0.001, and OR = 1.64; 95% CI: 1.30–2.08; p < 0.001, respectively; reference group = White). Retention was similarly high across occupational groups, ranging from 83–87%. Retention varied over sites (range: 65.5–96.2%) and was higher among smaller sites (85.4% across sites 800 participants; p 65 years vs < 25 years OR = 2.92; 95% CI: 1.78–4.88; p < 0.001), and highest in the Asian and Black ethnic groups (OR = 1.78; 95% CI: 1.42–2.25; p < 0.001, and OR = 2.12; 95% CI: 1.41–3.35; p < 0.001, respectively; reference group = White). Trends in retention by staff group and site size followed the same trend as the 12-month cohort. When analysed by time contributed to the study, participant withdrawals were highest in month 9 of follow-up for the 12-month cohort (791 withdrawals, 11.6%) and in month 21 of follow-up in the 24-month cohort (232 withdrawals, 10.9%). The median time in follow-up for those withdrawing from the 12-month cohort was 7 months (IQR: 4–10 months) and 19 months for those who withdrew from the 24-month cohort (IQR: 16–22 months). By calendar month, the withdrawal rate was highest in April 2021 (717 withdrawals, 1.6% of participants withdrawing), when 90% of participants had received their second vaccine dose (Fig. 2). The most common reasons for withdrawal in both the 12- and 24-month cohorts were workload commitments (35.6% and 40.9%, respectively), and moving sites/leaving the NHS (18.5% and 22.5%, respectively) (Table 3 ). Table 3 Number of withdrawals by reason, in the 12- and 24-month cohorts Withdrawal reason Withdrawals in 12-month cohort n (%) Withdrawals in 24-month cohort n (%) Workload/work commitments 2438 (35.8) 879 (41.1) Moving sites/leaving NHS 1303 (19.1) 491 (23) Medical reasons 756 (11.1) 138 (6.5) Logistical issues with attending appointments 622 (9.1) 203 (9.5) Not stated 383 (5.6) 15 (0.7) Other 316 (4.6) 51 (2.4) Difficulties accessing testing 296 (4.3) 151 (7.1) Personal reasons 189 (2.8) 80 (3.7) Frequency of testing 153 (2.2) 37 (1.7) Dislike testing methods 143 (2.1) 12 (0.6) Ineligible 109 (1.6) 11 (0.5) Management of results 47 (0.7) 9 (0.4) Changes in attitudes towards the study over time 34 (0.5) 40 (1.9) Implication of results 29 (0.4) 20 (0.9) Total 6,818 (100.0) 2,137 (100.0) In terms of participant engagement with the study, among those who completed 12-months of follow-up, 98.1% of participants completed at least one fortnightly follow-up survey in the 12-months (median number of surveys completed: 24; IQR: 16–26). Among those who completed 24-months of follow-up, 99.9% of participants completed at least one fortnightly follow-up survey in the 24-months (median number completed: 49; IQR: 38–52). Participant feedback survey A total of 9,447 out of 32,845 participants (29%) completed the feedback survey. Respondents were representative of the SIREN cohort, predominately female (n = 8,004, 85%), with the highest percentage of respondents in the 35–44 age group (n = 3,635, 38%), nursing staff group (n = 3,203, 34%) and from South-West England (n = 1338, 14%). The SIREN study scored highly across capability, opportunity and motivation categories and an overview of key survey results can be found in Table 4 . In terms of participant capability [ 10 ], 90% of respondents found the study easy to participate in, and 90% understood how their data was being used and what it was contributing to. Responses to opportunity categories [ 10 ] were lower, with 66% reporting they were kept up to date about the study by their organisation and 70% agreeing that taking part in SIREN made them more aware of research at their organisation. SIREN scored highly across motivation categories [ 10 ]: 93% agreed that SIREN made them feel like they were making a valuable contribution to the pandemic response; 87% agreed that participating reassured them about their COVID-19 status and 86% felt like a valued member of the study. Table 4 Results of the SIREN participant feedback survey FEEDBACK STATEMENT Agree Neutral Disagree n (%) n (%) n (%) COM-B component: Capability I know where to go to find information about the SIREN study 7801 (83.1) 1284 (13.7) 302 (3.2) I know where to go to ask any questions I have about the SIREN study 7722 (82.5) 1293 (13.8) 345 (3.7) I understand how my data is being used and what it is contributing to 8257 (90.0) 768 (8.4) 167 (1.8) Easy Neutral Difficult n (%) n (%) n (%) I found the SIREN study…to participate in 8289 (90.2) 792 (8.6) 107 (1.1) Agree Neutral Disagree n (%) n (%) n (%) COM-B component: Opportunity Being part of the SIREN study has made me more aware of research going on in my own organisation 6474 (70.3) 2245 (24.3) 482 (5.3) I am kept up to date with information about the SIREN study by my organisation 6137 (65.6) 1862 (19.9) 1362 (14.5) I am kept up to date with information about the SIREN study by the UKHSA SIREN study team 7866 (85.8) 1134 (12.4) 169 (1.8) COM-B component: Motivation Participating in the SIREN study to date has made me more likely to participate in future research studies 7153 (77.7) 1965 (21.3) 86 (1.0) Participating in the SIREN study makes me feel like I am making a valuable contribution to the COVID-19 pandemic response 8581 (93.4) 564 (6.1) 39 (0.5) Being testing regularly as part of the SIREN study has made me feel more reassured about my COVID-19 status 8019 (87.2) 1028 (11.2) 151 (1.6) I have felt like a valued member of the SIREN study 7896 (86.2) 1191 (13.0) 71 (0.8) Analysis of open text responses for participants who felt like valued members of the SIREN study highlighted the following four key themes. Theme 1 (positive): the role of friendly and welcoming local site teams An approachable and friendly site team willing to be flexible was a recurrent theme: The team are welcoming and even accommodate my working pattern so I can do the tests. A very friendly team that makes you feel valued. Theme 2 (positive): positive communication from the study Participants valued the communication provided by the study team, including updates on the research and the acknowledgement of participant contributions. Regular communication from SIREN which always included a thank you. Have also joined/watched all of the webinars which have always stressed the value of every single test sample submitted. SIREN team have been brilliant at keeping participants involved and aware of the part their contribution plays. Theme 3 (positive): contributing to the COVID-19 pandemic response Recognition of the contribution the study made to the national pandemic response was another motivating factor for participants. The information provided has hopefully made a difference to the approach to managing and minimising the effect of COVID. Seeing Chris Whitty quote results has really made me feel like I am contributing to something which directly relates to decisions made about wider society. Theme 4 (positive): contributing to research A final positive theme emerging from participant feedback was of the contribution that SIREN provided to research nationally and internationally. It helps the global community get the relevant information …and hopefully prepare communities on dealing with other viruses. It is good to be part of the study to help future studies. The following four themes emerged from analysis of responses from individuals who did not feel like valued members of the SIREN study. Theme 1 (negative): inflexibility in local study arrangements A lack of flexibility for testing appointments had a negative impact for participants. So unfortunately, the research unit where I work have become very inflexible and will only do swabs and bloods on the two days a week when I don’t work. Was given no more than 48 hours’ notice for appointments. Theme 2 (negative): poor communication For some participants, communication about the study was inadequate and negatively impacted their experience of being a study participant. I do not feel the results are clearly disseminated – although I see sporadic emails announcing a Webinar regarding this study, I do not feel or understand the benefit of being part of this study. I didn’t receive the text messages promised and when I asked about this had no response. Theme 3 (negative): lack of individualised test results Some participants were unhappy with the individualised test result reporting available at their site. There has been very little feedback from any of my tests. Simply being told that if a PCR was positive I’d be told, is less reassuring that being actively told each result when it was known. Theme 4 (negative): the study closing at SIREN sites Termination of the study at individual sites, which may have occurred abruptly was described negatively by some participants. I couldn’t continue after the study closed at my site. I would have liked the opportunity to continue. The way it ended abruptly with no prior warning or explanation made me feel undervalued. Participant feedback at withdrawal Analysis of open text responses captured via the withdrawal survey demonstrates many participants who withdrew from the study had a positive experience (49%, n = 797), with 38% (n = 617) reporting a neutral experience and 12% (n = 202) reporting a negative experience. Analysis of responses using the COM-B framework provides further detail on factors impacting participant capability, opportunity and motivation to be a part of the study, with many similarities in themes between feedback from participants active in the study (above) and those who withdrew. Themes relating to opportunity and motivation were cited more frequently than capability. Participants who withdrew valued the opportunity to contribute to the pandemic response and acknowledged the scientific importance of SIREN research as motivating factors. Negative factors included finding the study burdensome and feeling dissatisfied with the availability or granularity of individualised test result reporting available at their site. Site research team feedback Two focus groups with attendees from SIREN site teams took place to explore factors associated with participant retention. Twelve site team members representing nine SIREN sites attended a focus group. Most participants were female (92%, n = 11), white (83%, n = 10) and all aged 35 or above. Respondents described considerable variation in how SIREN was delivered locally across sites and how participant retention was managed. A key observation was that participant motivation for remaining in the study changed as the pandemic progressed, and local teams had to adapt their retention strategies in response. Initially, site teams reported that many SIREN participants reported that their primary motivation for taking part in SIREN was not the individual protection it provided, but the ability to contribute to the evidence base about COVID-19. As this was a novel disease, participants felt their contributions were particularly crucial to understand more about it and provide more certainty to wider society. In addition, access to PCR and antibody testing was a motivator to join the study, as a means of helping keep families and patients safe and understanding their own immunity (antibody) and as an enabler for activities during a period of restrictions. We had a lot of people that were quite interested at the beginning. Very keen, actually. We almost got overrun with it. And I think because there wasn't any swabbing, there wasn't lateral flows back then. The only thing you could do was have a PCR test, and they weren't that easy to get, I seem to recall. So we had a lot of people that were very interested because simply the fact that they could assure the safety of their family every two weeks. That seems to be the big motivation. And I'm going to say, unashamedly, we played on that a little bit, and it worked. (Focus Group 1) With the availability of Lateral Flow Devices (LFDs) to the public, respondents observed that for some participants the value of PCR testing through SIREN was reduced. Changes in hospital staff testing policies and the introduction of policies for regular LFD testing also had consequences for SIREN participation. The lateral flow that the trust mandated for all clinical staff took precedence, and people suddenly started to see the SIREN study as optional, which it is optional, of course. But they started to see it as, well I did my lateral flow yesterday so why do I need to bother doing a PCR today when my lateral flow was negative, so they stopped doing it that way. (Focus Group 1) Factors perceived to impact participant motivation over time were primarily external to the study, such the availability of SARS-CoV-2 testing outside the study, the introduction of COVID-19 vaccination, and changing pandemic control measures – with the removal of non-pharmaceutical interventions and increased social mixing over time. These external changes appeared to reduce threat perception to SARS-CoV-2 and impact participant perceptions of the value of the study. In addition to these external factors, respondents also identified challenges internal to the study, with participants dropping out of the study due to the physical discomfort of testing, the negative impact of having to take time-off work due to a positive test, and fatigue from attending so many SIREN appointments. Focus group respondents described how they adapted the retention strategies over time in response to changing participant motivations. When asked for examples of what worked well, the following themes emerged. Theme 1: Share study findings with participants Focus group respondents described how it was important to communicate study findings with participants. Examples were given where site teams had shared presentations of localised data with participants to demonstrate the wider value of their individual contribution. Site teams felt it was important to share this information as the initial reason for taking part was no longer fulfilled by SIREN alone and participants needed something more in return for their contribution to the study. So then we changed our strategy a little bit, and we shared some of the information about the inputs of the study, some of the things that the preliminary stuff that started to come out, so the people could see that it was bigger than just them. And that actually it was really important that they kept contributing. (Focus Group 1) Theme 2: Convenience as a facilitator for retention Focus group respondents considered that the consistency and physical location of SIREN activities had important implications for retention. Better engagement was reported when the local SIREN team (and clinic) was physically closer to the hospital. Reducing the amount of travel required and co-locating services was identified as helping with retention as it minimised the testing burden of time and distance travelled. Respondents described a range of retention strategies used across the different research sites to increase the convenience of study participation. This included flexible delivery models such as drop-in and fixed appointments to accommodate the needs of participants different shift patterns and preferences, and timely communications with reminders and results as external prompts to remain engaged. The pathology department is right by phlebotomy, so they could then go and get their blood test done. So it was actually only really one trip, and they could get everything done in that one area. And I think that helped with retention. (Focus Group 2) Theme 3: Incentives and tokens of appreciation as facilitators Respondents discussed that incentives such as raffles and tokens of appreciation such as cupcakes, badges and certificates created opportunities for positive and engaging communications. SIREN provided us with some certificates for all the participants as well as there were little badges that they could wear around... They were so inspired by it all, they were wearing it with pride and those who did not get one were complaining that they didn't get. But it was very helpful to have that little bit of incentive. (Focus Group 1) However, with the scale of SIREN and limited budget, opportunities for offering these were limited, and some respondents voiced frustration at the quality and quantity of tokens provided by the central team. While incentives were recognised as positive for motivation, site teams felt maintaining a relationship with participants was more important for retention and maximising participation. DISCUSSION Establishing SIREN as a prospective cohort study at this scale, requiring sustained fortnightly participant testing, and as a pandemic research response was ambitious. Prospective cohort studies have huge potential as a pandemic research tool given their adaptability over time, which is essential to manage the uncertainty and complexity of evolving pandemics. A crucial metric for evaluating SIREN’s success, and the applicability of this study design to future pandemic preparedness research, is whether participants were retained in follow-up. We have shown that participant retention in SIREN was very high, with similar proportions of participants completing the 12 month and 24-month cohorts. Retention decreased gradually in both cohorts, although the influence of external factors was apparent with peaks in withdrawals coinciding with high vaccine coverage in the cohort and with changes to testing policies, both at SIREN sites and more widely for the general public. Retention was high across all staff groups, including clinical and non-clinical groups. Retention was particularly high in Black and Asian ethnic groups. This is an important finding given it is recognised that Black, Asian and Minority Ethnic populations are underrepresented in research studies and the disproportionate impact of the pandemic on these ethnic groups [ 16 ]. Retention was higher at smaller sites (< 200 participants). Further analysis of site-specific approaches is needed, although this finding may suggest a more personalised approach encourages retention. The high levels of retention achieved across demographic groups suggests that the SIREN approach, including a comparison to best practice identified in the literature, provides insights for replication. The health of the NHS workforce is likely to become an area of focus for policy makers and governments in the future and therefore the lessons identified in this study will enable optimisation of future studies [ 14 , 15 ]. Applying a behaviour change model to analyse participant reasons for remaining and for withdrawing informs retention strategies. The COM-B model tells us that an individual requires the capability, opportunity and motivation to enact a desired behaviour, in this example continued participation in the SIREN study. A key finding in this analysis has been that participant capability, opportunity and motivation changed over the study period, influenced by the evolving pandemic. Motivators such as contributing to the pandemic response were impacted by reduced threat perception over time. For some, opportunity to comply with testing reduced over time, as it became more difficult to fit around work schedules – and was affected by the flexibility offered at sites. In a highly changeable context, regular informative communication about the study, keeping participants aware of the ongoing value of the study and updated on changes to study delivery, was critical to ensuring participants continued to have the capability to participate. Given this changeability it was essential to adapt the cohort retention strategy over time. Through analysis of internal and external factors influencing retention and through feedback from participants and site teams we have explored factors affecting retention in our cohort, seeking to share lessons for future (Table 5 ). Key lessons include the need to monitor and understand participant motivation over time, the necessity of inclusive and comprehensive communication, the importance of acknowledging the contributions of participants, building collaboration between central research and site teams, and investing in the skillset of site teams. Table 5 An overview of lessons learned to inform future pandemic response cohort studies. THEME LEARNING 1 Participant motivation • Understanding participant motivation is crucial to maintaining retention. • However, motivation changes over the course of the study and is influenced by internal and external factors. For SIREN, internal factors included study fatigue and external factors included the introduction of vaccines and rapid test results via LFDs. • Retention programmes need to evolve to respond to changes in motivation. What works : Obtaining regular feedback helps monitor changes in motivation to then adapt retention programmes, and this requires dedicated resource. For SIREN, the PIP have been crucial to understanding participant motivation by enabling a two-way conversation between researchers and participants. Other examples include introducing feedback surveys, providing a central mailbox for participants which is actively monitored, hosting regular meetings with site research teams who interact with participants more regularly. 2 Communication • Inclusive and comprehensive communications is a cornerstone of maintaining participant retention, but this can be overlooked in periods of high study activity. • How much and what type of information to share, in addition to the method of communication, is cohort specific and requires consideration. What works : To allow for different communication preferences, SIREN has trialled a range of approaches including a newsletter, a dedicated webpage, blogs, videos, live webinars and email or SMS updates, seeking feedback from participants and the PIP along the way. Developing templates for communication can help reduce the time burden of communications. SIREN have developed digital newsletter and plain language summary templates which enable the quick delivery of study news. 3 Acknowledging contributions • Saying thank you throughout a participant’s study journey is essential to retention, as it can impact on motivation to continue and actively engage with the study. • A pragmatic approach to acknowledging the contribution of participants can be included in pandemic response research. What works : Due to resource constraints, SIREN has had to think creatively about how to thank participants over the course of the study. We have utilised newsletters, webinars and videos to circulate thank you messages. We have marked study anniversaries with certificates (postal or digital) and prize draws, and reached out to high profile individuals to feature in videos. 4 Collaboration between central and local teams • Collaboration between central and local teams is essential to run a decentralised study because both are engaging with participants and have the potential to influence retention. • SIREN was established at pace and scale, and this made it more challenging to provide sites with the guidance needed to ensure participants had a uniform study experience to encourage retention. What works : SIREN introduced regular check-in meetings with site research teams to troubleshoot study or participant challenges. We have also used focus groups and interviews to obtain more detailed feedback from site teams. Setting out expectations and roles for each organisation as early as possible in the study is also helpful. 5 Skillset of research study team • Participant retention requires dedicated resources and a specific skillset, and this can be overlooked in the design phase of research studies, particularly in a pandemic response. What works : Designing and delivering study communications is a skill, and research teams need to consider whether to recruit for this specifically or develop workforce capability so that this responsibility is shared. The latter works well in studies where multiple research team members interact with participants. SIREN also invested in business support throughout the study, positioning them as essential team members. In particular this helped with monitoring the participant mailbox which takes up a considerable amount of time. The relatively low response rate to the participant feedback survey (29%, n = 9,447) and the small number of focus group participants (n = 12) are limitations of this study. A repeated feedback survey and focus groups could be introduced to ensure the views collected are generalisable to the cohort overall. Further evaluation of individual SIREN site approaches to running the study and the impact this has on cohort retention could optimise understanding of factors enabling retention particularly given the frequency of references to local site teams in participant feedback responses. CONCLUSION This robust mixed methods evaluation involving quantitative and qualitative analysis of cohort retention data has highlighted the challenges and learning from retaining the cohort of a large, multisite prospective cohort study established to contribute to a pandemic response. With a multi-method cohort retention programme, SIREN achieved high retention in the 12- and 24-month follow-up cohorts. We acknowledge some factors impacting retention were outside the control of the study, and the altruistic motivation of participants to contribute to the pandemic response cannot be underestimated. Participant feedback was positive overall, indicating that the study provided participants with the necessary capability, opportunity and motivation to remain in the study. Site feedback provided learning for future multicentre research studies, offering insights into key facilitators and common challenges faced. While there is no single agreed approach to cohort retention, the SIREN approach provides valuable learning for future cohort retention programmes, pandemic response studies and studies seeking to engage with healthcare worker cohorts. Abbreviations COM-B: Capability, opportunity, motivation, behaviour HCW: Healthcare workers IPC: Infection, prevention, control LFD: Lateral flow device NIHR: National Institute for Health and Care Research PIP: Participant involvement panel Declarations Ethics approval and consent to participate The study was approved by the Berkshire Research Ethics Committee, Health Research Authority (IRAS ID 284460, REC reference 20/SC/0230) on 22 May 2020; the qualitative workstream amendment 25 was approved 27/02/2023. Participants gave informed consent before taking part in the study. Consent for publication Not applicable Availability of data and materials Anonymised data will be made available for secondary analysis to trusted researchers upon reasonable request. Competing interests The authors declare that they have no competing interests. Funding The study is funded by the Department of Health and Social Care (DHSC) and UK Health Security Agency (UKHSA; formally Public Health England), with contributions from the governments of Northern Ireland, Scotland, and Wales. Funding was also provided by the National Institute for Health Research (NIHR) as an Urgent Public Health Priority Study and through the Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance (NIHR200915), a partnership between UKHSA and the University of Oxford. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The views expressed are those of the authors and not necessarily those of the DHSC, UKHSA, or NIHR. Authors' contributions VH, JI and AH conceived the aim and mixed methods design. AH wrote the first draft of the manuscript, with contributions from VH and JI. KM and SF designed the method of quantitative data collection and wrote the analysis plan with contribution from VH, JI and AH. AH designed the participant feedback survey with contribution from DW and VH. AK, JH, DS, AH, SR and VH planned and organised the focus groups. AK & JH conducted the focus groups and the thematic analysis of focus group results. SR & VH led on the qualitative analysis of withdrawal survey feedback. JI, EA and JE led on the participant involvement panel. All authors reviewed and approved the final manuscript. SH is the Chief Investigator of SIREN. Acknowledgements Our thanks go to the participants in the SIREN study and in particular those who contributed to feedback surveys. Our thanks also to all participating SIREN sites and in particular research team members who took part in the focus groups. Thanks to UKHSA SIREN team members who have all contributed to cohort retention over the course of the study, including: Ana Atti, Claire Neill, Jerry Ye Aung Kyaw, Naomi Platt, Jonathan Broad, Edward Monk, Jasleen Singh, Michelle Cole, Jameel Khawam, Ellie Harrison, Sarah Kaestle and our partners in the devolved nations Lesley Price, Elen De Lacy, Chris Norman, Diane Corrigan and Lisa Cromey. References Wallace S, Hall V, Charlett A, Kirwan PD, Cole M, Gillson N, et al. Impact of prior SARS-CoV-2 infection and COVID-19 vaccination on the subsequent incidence of COVID-19: a multicentre prospective cohort study among UK healthcare workers – the SIREN (Sarscov2 Immunity & Reinfection EvaluatioN) study protocol. BMJ Open. 2022;12:e054336. Teague S, Youssef GJ, Macdonald JA, Sciberras E, Shatte A, Fuller-Tyszkiewicz M, et al. Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis. BMC Medical Research Methodology. 2018 Nov 26;18(1). Robinson K, Dinglas V, Sukrithan V, Yalamanchilli R, Mendez-Tellez P, Dennison-Himmelfarb C, et al. Updated systematic review identifies substantial number of retention strategies: using more strategies retains more study participants. J Clin Epidemiol. 2015;68(12):1481–7. Abshire M, Dinglas VD, Cajita MIA, Eakin MN, Needham DM, Himmelfarb CD. Participant retention practices in longitudinal clinical research studies with high retention rates. BMC Medical Research Methodology [Internet]. 2017 Feb 20;17(1). Available from: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-017-0310-z Uhrig BJ, LeMasters K, Corsi C, Batty E, Krajewski TJ, Travis M, et al. Retention strategies among those on community supervision in the South: Lessons learned during the COVID-19 pandemic. 2023 Apr 5 [cited 2023 Aug 3];18(4):e0283621–1. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075476/ van Doesum TJ, Shields-Zeeman LS, Leone SS, et al. Impact of the COVID-19 pandemic on working conditions and mental well-being of mental health professionals in the Netherlands: a cross-sectional study. BMJ Open 2023;13:e062242. Doi: 10.1136/bmjopen-2022-062242 Gemine R, Davies GR, Tarrant S, et al Factors associated with work-related burnout in NHS staff during COVID-19: a cross-sectional mixed methods studyBMJ Open 2021;11:e042591. Doi: 10.1136/bmjopen-2020-042591 Doleman G, Annemarie De Leo, Bloxsome D. The impact of pandemics on healthcare providers’ workloads: A scoping review. 2023 May 18; Snap Surveys [Internet]. Snap Surveys. 2010. Available from: https://www.snapsurveys.com/ Michie S, van Stralen MM, West R. The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science [Internet]. 2011 Apr 23;6(42). Available from: https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-6-42 Payment guidance for researchers and professionals [Internet]. www.nihr.ac.uk. Available from: https://www.nihr.ac.uk/documents/payment-guidance-for-researchers-and-professionals/27392 Microsoft. Microsoft Teams | Group Chat, Team Chat & Collaboration [Internet]. www.microsoft.com. 2021. Available from: https://www.microsoft.com/en-gb/microsoft-teams/group-chat-software Howells, A., Aquino, E.N., Bose, D. et al. Demonstrating the learning and impact of embedding participant involvement in a pandemic research study: the experience of the SARS-CoV-2 immunity & reinfection evaluation (SIREN) study UK, 2020–2023. Res Involv Engagem 9, 97 (2023). https://doi.org/10.1186/s40900-023-00506-6 NHS England (2023). NHS Long Term Workforce Plan . [online] Available at: https://www.england.nhs.uk/wp-content/uploads/2023/06/nhs-long-term-workforce-plan-v1.2.pdf. https://committees.parliament.uk/publications/39117/documents/192286/default/ Farooqi, A., Jutlla, K., Raghavan, R., Wilson, A., Uddin, M.S., Akroyd, C., Patel, N., Campbell-Morris, P.P. and Farooqi, A.T. (2022). Developing a toolkit for increasing the participation of black, Asian and minority ethnic communities in health and social care research. BMC Medical Research Methodology, 22(1). Doi: https://doi.org/10.1186/s12874-021-01489-2. Additional Declarations No competing interests reported. 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study\u003c/p\u003e","fulltext":[{"header":"BACKGROUND","content":"\u003cp\u003eThe SARS-CoV-2 Immunity and Reinfection Evaluation (SIREN) Study is a prospective multicentre cohort study established to evaluate the immune response to SARS-CoV-2 following infection and vaccination in UK healthcare workers. Study participants are NHS staff working at healthcare organisations that have joined the study as SIREN sites. Participants from all occupations were eligible to join the study, which includes administrative, executive and support staff, resulting in a broad representation of the NHS workforce [\u003cspan class=\"CitationRef\"\u003e1\u003c/span\u003e]. Cohort studies represent an important research-tool, yet participant retention remains notoriously challenging.\u003c/p\u003e\n\u003cp\u003eSIREN has run for multiple years and participation involves repeated assessments at two weekly intervals, both of which can increase attrition due to the significant burden on participants [\u003cspan class=\"CitationRef\"\u003e2\u003c/span\u003e]. Maximising cohort retention can also benefit longitudinal studies through reducing administration costs and improving the efficiency of research processes [\u003cspan class=\"CitationRef\"\u003e3\u003c/span\u003e]. A high attrition rate can reduce the generalisability of outcomes and the statistical power to detect effects of interest [\u003cspan class=\"CitationRef\"\u003e2\u003c/span\u003e] and increases the risk of bias, particularly if those lost to follow-up differ from those retained in the study [\u003cspan class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eIn recent years a growing evidence base of cohort retention strategies for longitudinal studies has developed [\u003cspan class=\"CitationRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan class=\"CitationRef\"\u003e5\u003c/span\u003e], however heterogeneity in approach is common given the unique and study-specific context of research questions, methodology, settings and population groups. Nevertheless, common cohort retention strategies have emerged in addition to agreement about the resources needed to deliver these strategies. A recent systematic review of 95 longitudinal cohort studies [\u003cspan class=\"CitationRef\"\u003e2\u003c/span\u003e] highlights four key cohort retention strategies: barrier reduction, community building, follow-up and tracing. In addition, it is most common for studies to employ a multifactorial approach to cohort retention [\u003cspan class=\"CitationRef\"\u003e3\u003c/span\u003e] to allow for individual participant preference. The literature suggests dedicated staff who receive training in participant engagement, the ability to collect data on retention over time and ongoing evaluation are key resources [\u003cspan class=\"CitationRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eThe COVID-19 pandemic dramatically changed the health research landscape, presenting new challenges to recruiting and retaining participants in longitudinal cohort studies [\u003cspan class=\"CitationRef\"\u003e5\u003c/span\u003e]. This is particularly true for studies involving healthcare workers (HCW) as this cohort were at the frontline of the pandemic response, resulting in increased workloads, physical and mental ill health for many [\u003cspan class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan class=\"CitationRef\"\u003e8\u003c/span\u003e], likely reducing and restricting staff availability or motivation to participate in research studies. It is within this challenging context that the SIREN study was established and designed an evolving and multifactorial cohort retention programme, incorporating approaches to participant engagement and involvement.\u003c/p\u003e\n\u003cp\u003eThe SIREN approach to cohort retention includes a focus on participant engagement and involvement (Fig. 1). Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e provides an overview of frequently cited cohort retention strategies and resources with a comparison to the SIREN study approach. This shows that SIREN has developed the key resources needed to support cohort retention, including dedicated staff, the ability to track retention over time and investing in ongoing evaluation. SIREN has focused on reducing barriers to participation, particularly through the SIREN Participant Involvement Panel (PIP). The PIP is a panel of participants who meet regularly and provide guidance and feedback to SIREN researchers on key research priorities, proposed study changes and strategies for maximising participant engagement [\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e]. The full learning and impact of the PIP is reported elsewhere [\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e]. In terms of community building, SIREN produces regular digital newsletters and hosts interactive webinars, and follow-up approaches include email or SMS reminders. SIREN does not undertake tracing strategies recommended in the literature, although in addition to direct participant contact SIREN has utilised site teams as a further avenue for communication with participants.\u0026nbsp;\u003c/p\u003e\n\u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eKey cohort retention strategies identified in the literature with comparison to the SIREN study approach\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCategory\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eIncluded in SIREN approach\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eDetail\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eResources [\u003cspan class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDedicated staff and training [\u003cspan class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e✓\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026bull; SIREN research staff with specific responsibilities for cohort retention.\u003c/p\u003e\n \u003cp\u003e\u0026bull; Collaboration with British Society for Immunology to run the SIREN PIP.\u003c/p\u003e\n \u003cp\u003e\u0026bull; Formal training in retention methodology not widely available.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRetention tracked over time\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e✓\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026bull; Monthly retention figures produced with trends by age group, gender, ethnic group, staff group, region and site size.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOngoing evaluation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e✓\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026bull; Retention figures regularly reviewed and disseminated to SIREN research team and sites.\u003c/p\u003e\n \u003cp\u003e\u0026bull; Monitoring and exploration of reasons for withdrawal via the withdrawal survey.\u003c/p\u003e\n \u003cp\u003e\u0026bull; Central SIREN inbox management and monitoring.\u003c/p\u003e\n \u003cp\u003e\u0026bull; Close out process offered to all participating sites which includes opportunity for research teams to provide feedback.\u003c/p\u003e\n \u003cp\u003e\u0026bull; Regular meetings with the PIP who provide feedback on proposed study changes, participant engagement activities general feeling among participants.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eStrategies\u003c/strong\u003e [\u003cspan class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBarrier reduction\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eIncludes flexible methods of data collection, offering site and home visits, consistent research team members, engaging a participant sub-sample to evaluate data collection methods\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e✓\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026bull; SIREN has maintained the same leadership for the duration of the study who are visible to participants via newsletters, webinars and videos.\u003c/p\u003e\n \u003cp\u003e\u0026bull; SIREN data collection includes regular online surveys, serology samples, PCR and LFD tests. Participant schedules vary depending on their study pathway and it is common for SIREN site teams to offer flexibility for sample collection / drop off.\u003c/p\u003e\n \u003cp\u003e\u0026bull; The PIP provides a forum for feedback on study approaches including data collection.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCommunity building\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eIncludes thank you messages, creating a recognisable study brand and the sharing of study results\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e✓\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026bull; SIREN logo is included on all study material.\u003c/p\u003e\n \u003cp\u003e\u0026bull; SIREN provides regular digital newsletters which includes key study updates and findings and thank you messages to acknowledge key study milestones.\u003c/p\u003e\n \u003cp\u003e\u0026bull; SIREN provides a dedicated webpage, hosts live webinars for participants and has created a video series to showcase the study.\u003c/p\u003e\n \u003cp\u003e\u0026bull; SIREN has provided tokens of appreciation for participants including stickers, certificates and mugs and badges for site teams\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFollow-up\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eIncludes cash or voucher incentives, phone calls, SMS, mail and email reminders, house visits\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e✓\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026bull; SIREN has provided voucher incentives as part of prize draws\u003c/p\u003e\n \u003cp\u003e\u0026bull; SIREN participants can select to be contacted via SMS or email.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTracing\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eIncludes collecting details of alternative contact persons, using public or non-public records to find updated contact information and use of locator documents\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eX\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026bull; SIREN does not rely on alternative records to find updated contact information.\u003c/p\u003e\n \u003cp\u003e\u0026bull; Site research teams play an important role in monitoring participant follow-up.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eThe aim of this study is to evaluate retention among the 24-month follow-up cohort, analysing corresponding retention figures and participant and NHS site feedback to inform lessons for future studies.\u003c/p\u003e\n"},{"header":"METHODS","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy design\u003c/h2\u003e \u003cp\u003eA mixed-method process and outcome evaluation of our evolving cohort retention programme involving qualitative and quantitative analysis nested within a national, multicentre prospective cohort study [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eStudy population\u003c/h2\u003e \u003cp\u003eSIREN participants are healthcare workers and support staff aged 18 years and over who worked at enrolment at any of the 135 NHS hospital or health board SIREN sites across the United Kingdom. SIREN study participants and SIREN site teams (individuals involved in running the SIREN study at participating organisations) took part in this evaluation.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eOutcomes\u003c/h2\u003e \u003cp\u003eThe primary outcome was the proportion of participants completing their scheduled follow-up period. Secondary outcomes included reasons for withdrawal, trends in withdrawals over time, participant engagement and participant experience of their study involvement.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eData sources\u003c/h2\u003e \u003cdiv id=\"Sec7\" class=\"Section3\"\u003e \u003ch2\u003eEnrolment, follow-up and withdrawal surveys\u003c/h2\u003e \u003cp\u003eParticipant demographic data (including age, ethnic group, job role and geographic location) were collected on all participants via the online enrolment survey (SnapSurvey [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e], software that is used for all participant surveys). Data from fortnightly follow-up surveys was used to gauge participant engagement. Participants who chose to withdraw prior to the completion of their scheduled follow-up period were asked to fill out an online survey with eight categories of withdrawal reasons provided, in addition to an \u0026ldquo;other\u0026rdquo; free-text option.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eParticipant feedback survey\u003c/h2\u003e \u003cp\u003eA cross-sectional survey to capture participant feedback was conducted in October-November 2022. A behavioural science approach was used to develop survey questions using the Capability, Opportunity, Motivation, Behaviour (COM-B) model [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. The survey was sent to participants directly via email or text (dependent on stated communication preference), highlighted in subsequent issues of the SIREN digital newsletter and referenced at monthly site meetings for onward distribution by site teams. Participants were sent a reminder about the survey a week before the closing date.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eFocus groups\u003c/h2\u003e \u003cp\u003eTwo focus groups with SIREN site teams took place in February 2023 to form part of study evaluation. Focus groups were advertised to SIREN site teams via regular monthly meetings and via digital newsletters. Each focus group attendee was offered an honorarium in line with National Institute for Health and Care Research (NIHR) guidance [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Attendees for focus groups were selected to represent as broad a range of SIREN sites as possible with consideration of demographic groups such as gender, age, ethnicity and staff group. Focus groups were held over Microsoft Teams [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e] and facilitated by two external partners with expertise in qualitative research. Focus groups respondents were asked to describe how they had managed participant retention at their site, the challenges they had encountered and what helped with retention.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eData analysis\u003c/h2\u003e \u003cdiv id=\"Sec11\" class=\"Section3\"\u003e \u003ch2\u003eRetention\u003c/h2\u003e \u003cp\u003eWe used completion of 12 and 24-months of follow-up on or before 31 March 2023, as the primary outcome of our statistical analysis. We described cohort retention in the 12 and 24-month cohorts overall, and by age group, gender, ethnic group, staff group and site size using odds ratios from logistic regression.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eWithdrawals\u003c/h2\u003e \u003cp\u003eUsing responses to the withdrawal survey, we reported the frequency of reasons for withdrawal among participants in the 12 and 24-month cohorts and highlighted trends in withdrawal reasons over time. Participant withdrawals were analysed by both person-time contributed to the study and by calendar month.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eEngagement\u003c/h2\u003e \u003cp\u003eWe used the average number of fortnightly SIREN follow-up surveys completed by participants who completed the first 12 months of follow-up as an outcome for study engagement.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eFeedback\u003c/h2\u003e \u003cp\u003eParticipant feedback survey responses were analysed by demographic groups and key findings reported. Feedback survey responses in addition to open text responses captured in the withdrawal survey were analysed using the COM-B model as a framework to understand whether participants had the capability, opportunity and motivation necessary to undertake the desired behaviour (continued participation in the SIREN study). Participant feedback was also collected in the withdrawal survey, in a free-text field. Responses were first categorised as positive, negative or neutral, and then according to the COM-B framework as above.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eFocus groups\u003c/h2\u003e \u003cp\u003eTranscripts from focus groups were coded by two independent researchers using the constant comparison analysis approach to thematically frame the analysis.\u003c/p\u003e \u003c/div\u003e"},{"header":"RESULTS","content":"\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eParticipant retention\u003c/h2\u003e \u003cp\u003eOf the 44,543 participants recruited into 12 months of follow-up at 135 SIREN sites, 37,725 (84.7%) completed their 12-months of follow-up (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003ea). Extension into a second year of follow-up was offered at 87 SIREN sites, and 14,772 participants at these sites consented to extend their follow-up to 24 months. Of these, 12,635 (85.5%) participants completed their 24-month follow-up (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003eb).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003ea.\u003c/b\u003e Retention in the 12-month of follow-up cohort, by demographics, staff type and SIREN site size\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCharacteristic\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber of participants consented to 12 months of follow-up\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003eCompleted 12 months of follow-up\u003c/p\u003e \u003cp\u003en (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eOdds ratio (OR)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e95% confidence interval\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003ep-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGender\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e36,852\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e31,348 (85.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7,212\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e6,245 (86.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.04, 1.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e56 (86.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.66, 3.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.461\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAge group\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnder 25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,741\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,333 (76.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25 to 34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8,929\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e7,140 (80.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.04, 1.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.009\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e35 to 44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10,773\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e9,299 (86.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.64, 2.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e45 to 54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13,082\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e11,596 (88.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e2.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e2.05, 2.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e55 to 64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8,540\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e7,617 (89.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e2.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e2.19, 2.85\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOver 65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e688\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e608 (88.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e2.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.81, 3.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eEthnicity\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWhite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e38,680\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e32,858 (84.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsian\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3,238\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e2,861 (88.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.23, 1.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlack\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e885\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e797 (90.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.30, 2.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMixed Race\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e680\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e570 (83.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.82, 1.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.894\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther Ethnic Group\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e557\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e488 (87.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.95, 1.61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.124\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrefer not to say\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e75 (84.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.46, 1.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.436\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eStaff type\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNursing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14,904\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e12,762 (85.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdministrative/Executive\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6,653\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e5,609 (84.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.77, 0.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDoctor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5,219\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e4,504 (86.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.92, 1.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.816\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHealthcare Assistant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3,647\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e3,078 (84.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.82, 1.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.088\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHealthcare Scientist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2,516\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e2,130 (84.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.89, 1.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.988\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStudent\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,507\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,297 (86.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.88, 1.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.758\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTherapist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,815\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,503 (82.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.88, 1.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.894\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMidwife\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e954\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e829 (86.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.98, 1.46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.092\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePharmacist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e930\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e784 (84.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.88, 1.29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.566\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEstates/Porters/Security\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e703\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e607 (86.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.78, 1.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.900\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5,281\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e4,546 (86.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.98, 1.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.155\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSite size (number of participants)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSmall\u0026thinsp;\u0026le;\u0026thinsp;200\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5,203\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e4,445 (85.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMedium 201\u0026ndash;800\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e32,118\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e27,469 (85.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.91, 1.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.952\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLarge\u0026thinsp;\u0026gt;\u0026thinsp;800\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7,222\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e5,811 (80.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.68, 0.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e44,543\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e\u003cb\u003e37,725 (84.7)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNote: Ref\u0026thinsp;=\u0026thinsp;reference group\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eb.\u003c/b\u003e Retention in the 24-month of follow-up cohort, by demographics, staff type and SIREN site size\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCharacteristic\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber of participants consented to 24 months of follow-up\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003eCompleted 24 months of follow-up\u003c/p\u003e \u003cp\u003en (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eOdds ratio (OR)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e95% confidence interval\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003ep-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGender\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12,379\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e10,577 (85.4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2,325\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e2,031 (87.4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.00, 1.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.054\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e18 (90.0%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.37, 8.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.709\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAge group\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUnder 25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e233\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e176 (75.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e25 to 34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,996\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,584 (79.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.89, 1.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.204\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e35 to 44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3,562\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e3,022 (84.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.30, 2.45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e45 to 54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5,118\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e4,540 (88.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e2.58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.87, 3.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e55 to 64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3,508\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e3,072 (87.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e2.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.69, 3.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOver 65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e259\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e232 (89.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e2.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.78, 4.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eEthnicity\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWhite\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13,009\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e11,071 (85.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsian\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e965\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e875 (90.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.42, 2.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlack\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e317\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e293 (92.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e2.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.41, 3.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMixed Race\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e217\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e196 (90.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e1.11, 2.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.021\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther Ethnic Group\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e190\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e167 (87.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.81, 1.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.358\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrefer not to say\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e24 (92.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e3.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.75, 65.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.209\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eStaff type\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNursing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4,944\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e4,287 (86.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdministrative/Executive\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2,357\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,968 (83.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.64, 0.85\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDoctor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,786\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,542 (86.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.73, 1.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.088\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHealthcare Assistant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e972\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e845 (86.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.81, 1.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.933\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHealthcare Scientist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e890\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e763 (85.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.79, 1.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.812\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStudent\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e418\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e366 (87.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.86, 1.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.347\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTherapist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e617\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e498 (80.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.61, 0.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMidwife\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e315\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e274 (87.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.73, 1.45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.935\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePharmacist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e364\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e308 (84.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.67, 1.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.498\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEstates/Porters/Security\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e264\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e235 (89.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.75, 1.71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.602\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,797\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,540 (85.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.84, 1.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.849\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSite size (number of participants)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSmall\u0026thinsp;\u0026le;\u0026thinsp;200\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1,920\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,642 (85.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMedium 201\u0026ndash;800\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10,851\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e9,329 (86.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e1.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.91, 1.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.517\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLarge\u0026thinsp;\u0026gt;\u0026thinsp;800\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2,001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e1,664 (83.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e \u003cp\u003e0.72, 1.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.087\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e14,772\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e \u003cp\u003e\u003cb\u003e12,635 (85.5)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eParticipant retention decreased gradually over time (Fig.\u0026nbsp;2). Retention in the 12-month cohort was slightly higher among male participants compared to female participants (odds ratio (OR)\u0026thinsp;=\u0026thinsp;1.13; 95% CI: 1.04\u0026ndash;1.22; p\u0026thinsp;=\u0026thinsp;0.004). Retention increased with age (55\u0026ndash;64 years vs\u0026thinsp;\u0026lt;\u0026thinsp;25 years OR\u0026thinsp;=\u0026thinsp;2.50; 95% CI: 2.19\u0026ndash;2.85; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Retention was highest in the Asian and Black ethnic groups (OR\u0026thinsp;=\u0026thinsp;1.38; 95% CI: 1.23\u0026ndash;1.56; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, and OR\u0026thinsp;=\u0026thinsp;1.64; 95% CI: 1.30\u0026ndash;2.08; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, respectively; reference group\u0026thinsp;=\u0026thinsp;White). Retention was similarly high across occupational groups, ranging from 83\u0026ndash;87%. Retention varied over sites (range: 65.5\u0026ndash;96.2%) and was higher among smaller sites (85.4% across sites\u0026thinsp;\u0026lt;\u0026thinsp;200 participants vs. 80.5% sites\u0026thinsp;\u0026gt;\u0026thinsp;800 participants; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e2\u003c/span\u003ea).\u003c/p\u003e \u003cp\u003eRetention in the 24-month cohort followed a similar trend to the 12-month cohort, with retention increasing with age (\u0026gt;\u0026thinsp;65 years vs\u0026thinsp;\u0026lt;\u0026thinsp;25 years OR\u0026thinsp;=\u0026thinsp;2.92; 95% CI: 1.78\u0026ndash;4.88; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and highest in the Asian and Black ethnic groups (OR\u0026thinsp;=\u0026thinsp;1.78; 95% CI: 1.42\u0026ndash;2.25; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, and OR\u0026thinsp;=\u0026thinsp;2.12; 95% CI: 1.41\u0026ndash;3.35; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, respectively; reference group\u0026thinsp;=\u0026thinsp;White). Trends in retention by staff group and site size followed the same trend as the 12-month cohort.\u003c/p\u003e \u003cp\u003eWhen analysed by time contributed to the study, participant withdrawals were highest in month 9 of follow-up for the 12-month cohort (791 withdrawals, 11.6%) and in month 21 of follow-up in the 24-month cohort (232 withdrawals, 10.9%). The median time in follow-up for those withdrawing from the 12-month cohort was 7 months (IQR: 4\u0026ndash;10 months) and 19 months for those who withdrew from the 24-month cohort (IQR: 16\u0026ndash;22 months). By calendar month, the withdrawal rate was highest in April 2021 (717 withdrawals, 1.6% of participants withdrawing), when 90% of participants had received their second vaccine dose (Fig.\u0026nbsp;2).\u003c/p\u003e \u003cp\u003eThe most common reasons for withdrawal in both the 12- and 24-month cohorts were workload commitments (35.6% and 40.9%, respectively), and moving sites/leaving the NHS (18.5% and 22.5%, respectively) (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eNumber of withdrawals by reason, in the 12- and 24-month cohorts\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWithdrawal reason\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWithdrawals in 12-month cohort\u003c/p\u003e \u003cp\u003en (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eWithdrawals in 24-month cohort\u003c/p\u003e \u003cp\u003en (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWorkload/work commitments\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2438 (35.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e879 (41.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMoving sites/leaving NHS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1303 (19.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e491 (23)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMedical reasons\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e756 (11.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e138 (6.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLogistical issues with attending appointments\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e622 (9.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e203 (9.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNot stated\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e383 (5.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15 (0.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e316 (4.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e51 (2.4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDifficulties accessing testing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e296 (4.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e151 (7.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePersonal reasons\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e189 (2.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e80 (3.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFrequency of testing\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e153 (2.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e37 (1.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDislike testing methods\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e143 (2.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12 (0.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIneligible\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e109 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11 (0.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eManagement of results\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e47 (0.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9 (0.4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eChanges in attitudes towards the study over time\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e34 (0.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e40 (1.9)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eImplication of results\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e29 (0.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20 (0.9)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e6,818 (100.0)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e2,137 (100.0)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn terms of participant engagement with the study, among those who completed 12-months of follow-up, 98.1% of participants completed at least one fortnightly follow-up survey in the 12-months (median number of surveys completed: 24; IQR: 16\u0026ndash;26). Among those who completed 24-months of follow-up, 99.9% of participants completed at least one fortnightly follow-up survey in the 24-months (median number completed: 49; IQR: 38\u0026ndash;52).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003eParticipant feedback survey\u003c/h2\u003e \u003cp\u003eA total of 9,447 out of 32,845 participants (29%) completed the feedback survey. Respondents were representative of the SIREN cohort, predominately female (n\u0026thinsp;=\u0026thinsp;8,004, 85%), with the highest percentage of respondents in the 35\u0026ndash;44 age group (n\u0026thinsp;=\u0026thinsp;3,635, 38%), nursing staff group (n\u0026thinsp;=\u0026thinsp;3,203, 34%) and from South-West England (n\u0026thinsp;=\u0026thinsp;1338, 14%).\u003c/p\u003e \u003cp\u003eThe SIREN study scored highly across capability, opportunity and motivation categories and an overview of key survey results can be found in Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e4\u003c/span\u003e. In terms of participant capability [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], 90% of respondents found the study easy to participate in, and 90% understood how their data was being used and what it was contributing to. Responses to opportunity categories [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e] were lower, with 66% reporting they were kept up to date about the study by their organisation and 70% agreeing that taking part in SIREN made them more aware of research at their organisation. SIREN scored highly across motivation categories [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]: 93% agreed that SIREN made them feel like they were making a valuable contribution to the pandemic response; 87% agreed that participating reassured them about their COVID-19 status and 86% felt like a valued member of the study.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eResults of the SIREN participant feedback survey\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eFEEDBACK STATEMENT\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAgree\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNeutral\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDisagree\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003en (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003en (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003en (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCOM-B component: Capability\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI know where to go to find information about the SIREN study\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7801 (83.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1284 (13.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e302 (3.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI know where to go to ask any questions I have about the SIREN study\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7722 (82.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1293 (13.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e345 (3.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI understand how my data is being used and what it is contributing to\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8257 (90.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e768 (8.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e167 (1.8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eEasy\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eNeutral\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eDifficult\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003en (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003en (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003en (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI found the SIREN study\u0026hellip;to participate in\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8289 (90.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e792 (8.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e107 (1.1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eAgree\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eNeutral\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eDisagree\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003en (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003en (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003en (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCOM-B component: Opportunity\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBeing part of the SIREN study has made me more aware of research going on in my own organisation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6474 (70.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2245 (24.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e482 (5.3)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI am kept up to date with information about the SIREN study by my organisation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6137 (65.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1862 (19.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1362 (14.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI am kept up to date with information about the SIREN study by the UKHSA SIREN study team\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7866 (85.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1134 (12.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e169 (1.8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCOM-B component: Motivation\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParticipating in the SIREN study to date has made me more likely to participate in future research studies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7153 (77.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1965 (21.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e86 (1.0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParticipating in the SIREN study makes me feel like I am making a valuable contribution to the COVID-19 pandemic response\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8581 (93.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e564 (6.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e39 (0.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBeing testing regularly as part of the SIREN study has made me feel more reassured about my COVID-19 status\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8019 (87.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1028 (11.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e151 (1.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI have felt like a valued member of the SIREN study\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7896 (86.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1191 (13.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e71 (0.8)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e Analysis of open text responses for participants who felt like valued members of the SIREN study highlighted the following four key themes.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eTheme 1 (positive): the role of friendly and welcoming local site teams\u003c/h2\u003e \u003cp\u003eAn approachable and friendly site team willing to be flexible was a recurrent theme:\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe team are welcoming and even accommodate my working pattern so I can do the tests.\u003c/p\u003e\u003cp\u003eA very friendly team that makes you feel valued.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003eTheme 2 (positive): positive communication from the study\u003c/h2\u003e \u003cp\u003eParticipants valued the communication provided by the study team, including updates on the research and the acknowledgement of participant contributions.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eRegular communication from SIREN which always included a thank you. Have also joined/watched all of the webinars which have always stressed the value of every single test sample submitted.\u003c/p\u003e\u003cp\u003e SIREN team have been brilliant at keeping participants involved and aware of the part their contribution plays.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec21\" class=\"Section2\"\u003e \u003ch2\u003eTheme 3 (positive): contributing to the COVID-19 pandemic response\u003c/h2\u003e \u003cp\u003eRecognition of the contribution the study made to the national pandemic response was another motivating factor for participants.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe information provided has hopefully made a difference to the approach to managing and minimising the effect of COVID.\u003c/p\u003e\u003cp\u003eSeeing Chris Whitty quote results has really made me feel like I am contributing to something which directly relates to decisions made about wider society.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003ch2\u003eTheme 4 (positive): contributing to research\u003c/h2\u003e \u003cp\u003eA final positive theme emerging from participant feedback was of the contribution that SIREN provided to research nationally and internationally.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eIt helps the global community get the relevant information \u0026hellip;and hopefully prepare communities on dealing with other viruses.\u003c/p\u003e\u003cp\u003eIt is good to be part of the study to help future studies.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eThe following four themes emerged from analysis of responses from individuals who did not feel like valued members of the SIREN study.\u003c/p\u003e \u003cdiv id=\"Sec23\" class=\"Section3\"\u003e \u003ch2\u003eTheme 1 (negative): inflexibility in local study arrangements\u003c/h2\u003e \u003cp\u003eA lack of flexibility for testing appointments had a negative impact for participants.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eSo unfortunately, the research unit where I work have become very inflexible and will only do swabs and bloods on the two days a week when I don\u0026rsquo;t work.\u003c/p\u003e\u003cp\u003eWas given no more than 48 hours\u0026rsquo; notice for appointments.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003eTheme 2 (negative): poor communication\u003c/h2\u003e \u003cp\u003eFor some participants, communication about the study was inadequate and negatively impacted their experience of being a study participant.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eI do not feel the results are clearly disseminated \u0026ndash; although I see sporadic emails announcing a Webinar regarding this study, I do not feel or understand the benefit of being part of this study.\u003c/p\u003e\u003cp\u003eI didn\u0026rsquo;t receive the text messages promised and when I asked about this had no response.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cdiv id=\"Sec25\" class=\"Section3\"\u003e \u003ch2\u003eTheme 3 (negative): lack of individualised test results\u003c/h2\u003e \u003cp\u003eSome participants were unhappy with the individualised test result reporting available at their site.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThere has been very little feedback from any of my tests. Simply being told that if a PCR was positive I\u0026rsquo;d be told, is less reassuring that being actively told each result when it was known.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec26\" class=\"Section3\"\u003e \u003ch2\u003eTheme 4 (negative): the study closing at SIREN sites\u003c/h2\u003e \u003cp\u003eTermination of the study at individual sites, which may have occurred abruptly was described negatively by some participants.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eI couldn\u0026rsquo;t continue after the study closed at my site. I would have liked the opportunity to continue.\u003c/p\u003e\u003cp\u003eThe way it ended abruptly with no prior warning or explanation made me feel undervalued.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec27\" class=\"Section3\"\u003e \u003ch2\u003eParticipant feedback at withdrawal\u003c/h2\u003e \u003cp\u003e Analysis of open text responses captured via the withdrawal survey demonstrates many participants who withdrew from the study had a positive experience (49%, n\u0026thinsp;=\u0026thinsp;797), with 38% (n\u0026thinsp;=\u0026thinsp;617) reporting a neutral experience and 12% (n\u0026thinsp;=\u0026thinsp;202) reporting a negative experience. Analysis of responses using the COM-B framework provides further detail on factors impacting participant capability, opportunity and motivation to be a part of the study, with many similarities in themes between feedback from participants active in the study (above) and those who withdrew. Themes relating to opportunity and motivation were cited more frequently than capability. Participants who withdrew valued the opportunity to contribute to the pandemic response and acknowledged the scientific importance of SIREN research as motivating factors. Negative factors included finding the study burdensome and feeling dissatisfied with the availability or granularity of individualised test result reporting available at their site.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec28\" class=\"Section2\"\u003e \u003ch2\u003eSite research team feedback\u003c/h2\u003e \u003cp\u003eTwo focus groups with attendees from SIREN site teams took place to explore factors associated with participant retention. Twelve site team members representing nine SIREN sites attended a focus group. Most participants were female (92%, n\u0026thinsp;=\u0026thinsp;11), white (83%, n\u0026thinsp;=\u0026thinsp;10) and all aged 35 or above.\u003c/p\u003e \u003cp\u003eRespondents described considerable variation in how SIREN was delivered locally across sites and how participant retention was managed.\u003c/p\u003e \u003cp\u003eA key observation was that participant motivation for remaining in the study changed as the pandemic progressed, and local teams had to adapt their retention strategies in response. Initially, site teams reported that many SIREN participants reported that their primary motivation for taking part in SIREN was not the individual protection it provided, but the ability to contribute to the evidence base about COVID-19. As this was a novel disease, participants felt their contributions were particularly crucial to understand more about it and provide more certainty to wider society.\u003c/p\u003e \u003cp\u003eIn addition, access to PCR and antibody testing was a motivator to join the study, as a means of helping keep families and patients safe and understanding their own immunity (antibody) and as an enabler for activities during a period of restrictions.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eWe had a lot of people that were quite interested at the beginning. Very keen, actually. We almost got overrun with it. And I think because there wasn't any swabbing, there wasn't lateral flows back then. The only thing you could do was have a PCR test, and they weren't that easy to get, I seem to recall. So we had a lot of people that were very interested because simply the fact that they could assure the safety of their family every two weeks. That seems to be the big motivation. And I'm going to say, unashamedly, we played on that a little bit, and it worked.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec29\" class=\"Section2\"\u003e \u003ch2\u003e(Focus Group 1)\u003c/h2\u003e \u003cp\u003eWith the availability of Lateral Flow Devices (LFDs) to the public, respondents observed that for some participants the value of PCR testing through SIREN was reduced. Changes in hospital staff testing policies and the introduction of policies for regular LFD testing also had consequences for SIREN participation.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe lateral flow that the trust mandated for all clinical staff took precedence, and people suddenly started to see the SIREN study as optional, which it is optional, of course. But they started to see it as, well I did my lateral flow yesterday so why do I need to bother doing a PCR today when my lateral flow was negative, so they stopped doing it that way.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003e(Focus Group 1)\u003c/h3\u003e\n\u003cp\u003eFactors perceived to impact participant motivation over time were primarily external to the study, such the availability of SARS-CoV-2 testing outside the study, the introduction of COVID-19 vaccination, and changing pandemic control measures \u0026ndash; with the removal of non-pharmaceutical interventions and increased social mixing over time. These external changes appeared to reduce threat perception to SARS-CoV-2 and impact participant perceptions of the value of the study.\u003c/p\u003e \u003cp\u003eIn addition to these external factors, respondents also identified challenges internal to the study, with participants dropping out of the study due to the physical discomfort of testing, the negative impact of having to take time-off work due to a positive test, and fatigue from attending so many SIREN appointments.\u003c/p\u003e \u003cp\u003eFocus group respondents described how they adapted the retention strategies over time in response to changing participant motivations. When asked for examples of what worked well, the following themes emerged.\u003c/p\u003e \u003cp\u003eTheme 1: Share study findings with participants\u003c/p\u003e \u003cp\u003e Focus group respondents described how it was important to communicate study findings with participants. Examples were given where site teams had shared presentations of localised data with participants to demonstrate the wider value of their individual contribution. Site teams felt it was important to share this information as the initial reason for taking part was no longer fulfilled by SIREN alone and participants needed something more in return for their contribution to the study.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eSo then we changed our strategy a little bit, and we shared some of the information about the inputs of the study, some of the things that the preliminary stuff that started to come out, so the people could see that it was bigger than just them. And that actually it was really important that they kept contributing.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cdiv id=\"Sec31\" class=\"Section2\"\u003e \u003ch2\u003e(Focus Group 1)\u003c/h2\u003e \u003cp\u003eTheme 2: Convenience as a facilitator for retention\u003c/p\u003e \u003cp\u003eFocus group respondents considered that the consistency and physical location of SIREN activities had important implications for retention. Better engagement was reported when the local SIREN team (and clinic) was physically closer to the hospital. Reducing the amount of travel required and co-locating services was identified as helping with retention as it minimised the testing burden of time and distance travelled. Respondents described a range of retention strategies used across the different research sites to increase the convenience of study participation. This included flexible delivery models such as drop-in and fixed appointments to accommodate the needs of participants different shift patterns and preferences, and timely communications with reminders and results as external prompts to remain engaged.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eThe pathology department is right by phlebotomy, so they could then go and get their blood test done. So it was actually only really one trip, and they could get everything done in that one area. And I think that helped with retention.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec32\" class=\"Section2\"\u003e \u003ch2\u003e(Focus Group 2)\u003c/h2\u003e \u003cp\u003eTheme 3: Incentives and tokens of appreciation as facilitators\u003c/p\u003e \u003cp\u003eRespondents discussed that incentives such as raffles and tokens of appreciation such as cupcakes, badges and certificates created opportunities for positive and engaging communications.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eSIREN provided us with some certificates for all the participants as well as there were little badges that they could wear around... They were so inspired by it all, they were wearing it with pride and those who did not get one were complaining that they didn't get. But it was very helpful to have that little bit of incentive.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cdiv id=\"Sec33\" class=\"Section3\"\u003e \u003ch2\u003e(Focus Group 1)\u003c/h2\u003e \u003cp\u003eHowever, with the scale of SIREN and limited budget, opportunities for offering these were limited, and some respondents voiced frustration at the quality and quantity of tokens provided by the central team. While incentives were recognised as positive for motivation, site teams felt maintaining a relationship with participants was more important for retention and maximising participation.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eEstablishing SIREN as a prospective cohort study at this scale, requiring sustained fortnightly participant testing, and as a pandemic research response was ambitious. Prospective cohort studies have huge potential as a pandemic research tool given their adaptability over time, which is essential to manage the uncertainty and complexity of evolving pandemics. A crucial metric for evaluating SIREN\u0026rsquo;s success, and the applicability of this study design to future pandemic preparedness research, is whether participants were retained in follow-up. We have shown that participant retention in SIREN was very high, with similar proportions of participants completing the 12 month and 24-month cohorts. Retention decreased gradually in both cohorts, although the influence of external factors was apparent with peaks in withdrawals coinciding with high vaccine coverage in the cohort and with changes to testing policies, both at SIREN sites and more widely for the general public.\u003c/p\u003e \u003cp\u003eRetention was high across all staff groups, including clinical and non-clinical groups. Retention was particularly high in Black and Asian ethnic groups. This is an important finding given it is recognised that Black, Asian and Minority Ethnic populations are underrepresented in research studies and the disproportionate impact of the pandemic on these ethnic groups [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Retention was higher at smaller sites (\u0026lt;\u0026thinsp;200 participants). Further analysis of site-specific approaches is needed, although this finding may suggest a more personalised approach encourages retention. The high levels of retention achieved across demographic groups suggests that the SIREN approach, including a comparison to best practice identified in the literature, provides insights for replication. The health of the NHS workforce is likely to become an area of focus for policy makers and governments in the future and therefore the lessons identified in this study will enable optimisation of future studies [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eApplying a behaviour change model to analyse participant reasons for remaining and for withdrawing informs retention strategies. The COM-B model tells us that an individual requires the capability, opportunity and motivation to enact a desired behaviour, in this example continued participation in the SIREN study. A key finding in this analysis has been that participant capability, opportunity and motivation changed over the study period, influenced by the evolving pandemic. Motivators such as contributing to the pandemic response were impacted by reduced threat perception over time. For some, opportunity to comply with testing reduced over time, as it became more difficult to fit around work schedules \u0026ndash; and was affected by the flexibility offered at sites. In a highly changeable context, regular informative communication about the study, keeping participants aware of the ongoing value of the study and updated on changes to study delivery, was critical to ensuring participants continued to have the capability to participate. Given this changeability it was essential to adapt the cohort retention strategy over time.\u003c/p\u003e \u003cp\u003eThrough analysis of internal and external factors influencing retention and through feedback from participants and site teams we have explored factors affecting retention in our cohort, seeking to share lessons for future (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Key lessons include the need to monitor and understand participant motivation over time, the necessity of inclusive and comprehensive communication, the importance of acknowledging the contributions of participants, building collaboration between central research and site teams, and investing in the skillset of site teams.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAn overview of lessons learned to inform future pandemic response cohort studies.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTHEME\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLEARNING\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003eParticipant motivation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026bull; Understanding participant motivation is crucial to maintaining retention.\u003c/p\u003e \u003cp\u003e\u0026bull; However, motivation changes over the course of the study and is influenced by internal and external factors. For SIREN, internal factors included study fatigue and external factors included the introduction of vaccines and rapid test results via LFDs.\u003c/p\u003e \u003cp\u003e\u0026bull; Retention programmes need to evolve to respond to changes in motivation.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eWhat works\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eObtaining regular feedback helps monitor changes in motivation to then adapt retention programmes, and this requires dedicated resource. For SIREN, the PIP have been crucial to understanding participant motivation by enabling a two-way conversation between researchers and participants. Other examples include introducing feedback surveys, providing a central mailbox for participants which is actively monitored, hosting regular meetings with site research teams who interact with participants more regularly.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003eCommunication\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026bull; Inclusive and comprehensive communications is a cornerstone of maintaining participant retention, but this can be overlooked in periods of high study activity.\u003c/p\u003e \u003cp\u003e\u0026bull; How much and what type of information to share, in addition to the method of communication, is cohort specific and requires consideration.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eWhat works\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eTo allow for different communication preferences, SIREN has trialled a range of approaches including a newsletter, a dedicated webpage, blogs, videos, live webinars and email or SMS updates, seeking feedback from participants and the PIP along the way. Developing templates for communication can help reduce the time burden of communications. SIREN have developed digital newsletter and plain language summary templates which enable the quick delivery of study news.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003cp\u003eAcknowledging contributions\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026bull; Saying thank you throughout a participant\u0026rsquo;s study journey is essential to retention, as it can impact on motivation to continue and actively engage with the study.\u003c/p\u003e \u003cp\u003e\u0026bull; A pragmatic approach to acknowledging the contribution of participants can be included in pandemic response research.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eWhat works\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eDue to resource constraints, SIREN has had to think creatively about how to thank participants over the course of the study. We have utilised newsletters, webinars and videos to circulate thank you messages. We have marked study anniversaries with certificates (postal or digital) and prize draws, and reached out to high profile individuals to feature in videos.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003cp\u003eCollaboration between central and local teams\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026bull; Collaboration between central and local teams is essential to run a decentralised study because both are engaging with participants and have the potential to influence retention.\u003c/p\u003e \u003cp\u003e\u0026bull; SIREN was established at pace and scale, and this made it more challenging to provide sites with the guidance needed to ensure participants had a uniform study experience to encourage retention.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eWhat works\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eSIREN introduced regular check-in meetings with site research teams to troubleshoot study or participant challenges. We have also used focus groups and interviews to obtain more detailed feedback from site teams. Setting out expectations and roles for each organisation as early as possible in the study is also helpful.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003eSkillset of research study team\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026bull; Participant retention requires dedicated resources and a specific skillset, and this can be overlooked in the design phase of research studies, particularly in a pandemic response.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eWhat works\u003c/b\u003e:\u003c/p\u003e \u003cp\u003eDesigning and delivering study communications is a skill, and research teams need to consider whether to recruit for this specifically or develop workforce capability so that this responsibility is shared. The latter works well in studies where multiple research team members interact with participants. SIREN also invested in business support throughout the study, positioning them as essential team members. In particular this helped with monitoring the participant mailbox which takes up a considerable amount of time.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe relatively low response rate to the participant feedback survey (29%, n\u0026thinsp;=\u0026thinsp;9,447) and the small number of focus group participants (n\u0026thinsp;=\u0026thinsp;12) are limitations of this study. A repeated feedback survey and focus groups could be introduced to ensure the views collected are generalisable to the cohort overall. Further evaluation of individual SIREN site approaches to running the study and the impact this has on cohort retention could optimise understanding of factors enabling retention particularly given the frequency of references to local site teams in participant feedback responses.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eThis robust mixed methods evaluation involving quantitative and qualitative analysis of cohort retention data has highlighted the challenges and learning from retaining the cohort of a large, multisite prospective cohort study established to contribute to a pandemic response. With a multi-method cohort retention programme, SIREN achieved high retention in the 12- and 24-month follow-up cohorts. We acknowledge some factors impacting retention were outside the control of the study, and the altruistic motivation of participants to contribute to the pandemic response cannot be underestimated. Participant feedback was positive overall, indicating that the study provided participants with the necessary capability, opportunity and motivation to remain in the study. Site feedback provided learning for future multicentre research studies, offering insights into key facilitators and common challenges faced. While there is no single agreed approach to cohort retention, the SIREN approach provides valuable learning for future cohort retention programmes, pandemic response studies and studies seeking to engage with healthcare worker cohorts.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eCOM-B: Capability, opportunity, motivation, behaviour\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHCW: Healthcare workers\u003c/p\u003e\n\u003cp\u003eIPC: Infection, prevention, control\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLFD: Lateral flow device\u003c/p\u003e\n\u003cp\u003eNIHR: National Institute for Health and Care Research\u003c/p\u003e\n\u003cp\u003ePIP: Participant involvement panel\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eEthics approval and consent to participate\u003c/h2\u003e\n\u003cp\u003eThe study was approved by the Berkshire Research Ethics Committee, Health Research Authority (IRAS ID 284460, REC reference 20/SC/0230) on 22 May 2020; the qualitative workstream amendment 25 was approved 27/02/2023. Participants gave informed consent before taking part in the study.\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eConsent for publication\u003c/h2\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003ch2\u003eAvailability of data and materials\u003c/h2\u003e\n\u003cp\u003eAnonymised data will be made available for secondary analysis to trusted researchers upon reasonable request.\u003c/p\u003e\n\u003ch2\u003eCompeting interests\u003c/h2\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003ch2\u003eFunding\u003c/h2\u003e\n\u003cp\u003eThe study is funded by the Department of Health and Social Care (DHSC) and UK Health Security Agency (UKHSA; formally Public Health England), with contributions from the governments of Northern Ireland, Scotland, and Wales. Funding was also provided by the National Institute for Health Research (NIHR) as an Urgent Public Health Priority Study and through the Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance (NIHR200915), a partnership between UKHSA and the University of Oxford. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The views expressed are those of the authors and not necessarily those of the DHSC, UKHSA, or NIHR.\u003c/p\u003e\n\u003ch2\u003eAuthors\u0026apos; contributions\u003c/h2\u003e\n\u003cp\u003eVH, JI and AH conceived the aim and mixed methods design. AH wrote the first draft of the manuscript, with contributions from VH and JI. KM and SF designed the method of quantitative data collection and wrote the analysis plan with contribution from VH, JI and AH. AH designed the participant feedback survey with contribution from DW and VH. AK, JH, DS, AH, SR and VH planned and organised the focus groups. \u0026nbsp;AK \u0026amp; JH conducted the focus groups and the thematic analysis of focus group results. SR \u0026amp; VH led on the qualitative analysis of withdrawal survey feedback. JI, EA and JE led on the participant involvement panel. All authors reviewed and approved the final manuscript. SH is the Chief Investigator of SIREN.\u003c/p\u003e\n\u003ch2\u003eAcknowledgements\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eOur thanks go to the participants in the SIREN study and in particular those who contributed to feedback surveys. Our thanks also to all participating SIREN sites and in particular research team members who took part in the focus groups. Thanks to UKHSA SIREN team members who have all contributed to cohort retention over the course of the study, including: Ana Atti, Claire Neill, Jerry Ye Aung Kyaw, Naomi Platt, Jonathan Broad, Edward Monk, Jasleen Singh, Michelle Cole, Jameel Khawam, Ellie Harrison, Sarah Kaestle and our partners in the devolved nations Lesley Price, Elen De Lacy, Chris Norman, Diane Corrigan and Lisa Cromey.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eWallace S, Hall V, Charlett A, Kirwan PD, Cole M, Gillson N, et al. Impact of prior SARS-CoV-2 infection and COVID-19 vaccination on the subsequent incidence of COVID-19: a multicentre prospective cohort study among UK healthcare workers \u0026ndash; the SIREN (Sarscov2 Immunity \u0026amp; Reinfection EvaluatioN) study protocol. BMJ Open. 2022;12:e054336.\u003c/li\u003e\n\u003cli\u003eTeague S, Youssef GJ, Macdonald JA, Sciberras E, Shatte A, Fuller-Tyszkiewicz M, et al. Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis. BMC Medical Research Methodology. 2018 Nov 26;18(1).\u003c/li\u003e\n\u003cli\u003eRobinson K, Dinglas V, Sukrithan V, Yalamanchilli R, Mendez-Tellez P, Dennison-Himmelfarb C, et al. Updated systematic review identifies substantial number of retention strategies: using more strategies retains more study participants. J Clin Epidemiol. 2015;68(12):1481\u0026ndash;7.\u003c/li\u003e\n\u003cli\u003eAbshire M, Dinglas VD, Cajita MIA, Eakin MN, Needham DM, Himmelfarb CD. Participant retention practices in longitudinal clinical research studies with high retention rates. BMC Medical Research Methodology [Internet]. 2017 Feb 20;17(1). Available from: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-017-0310-z\u003c/li\u003e\n\u003cli\u003eUhrig BJ, LeMasters K, Corsi C, Batty E, Krajewski TJ, Travis M, et al. Retention strategies among those on community supervision in the South: Lessons learned during the COVID-19 pandemic. 2023 Apr 5 [cited 2023 Aug 3];18(4):e0283621\u0026ndash;1. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075476/\u003c/li\u003e\n\u003cli\u003evan Doesum TJ, Shields-Zeeman LS, Leone SS, et al. Impact of the COVID-19 pandemic on working conditions and mental well-being of mental health professionals in the Netherlands: a cross-sectional study. BMJ Open 2023;13:e062242. Doi: 10.1136/bmjopen-2022-062242\u003c/li\u003e\n\u003cli\u003eGemine R, Davies GR, Tarrant S, et al Factors associated with work-related burnout in NHS staff during COVID-19: a cross-sectional mixed methods studyBMJ Open 2021;11:e042591. Doi: 10.1136/bmjopen-2020-042591\u003c/li\u003e\n\u003cli\u003eDoleman G, Annemarie De Leo, Bloxsome D. The impact of pandemics on healthcare providers\u0026rsquo; workloads: A scoping review. 2023 May 18;\u003c/li\u003e\n\u003cli\u003eSnap Surveys [Internet]. Snap Surveys. 2010. Available from: https://www.snapsurveys.com/\u003c/li\u003e\n\u003cli\u003eMichie S, van Stralen MM, West R. The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science [Internet]. 2011 Apr 23;6(42). Available from: https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-6-42\u003c/li\u003e\n\u003cli\u003ePayment guidance for researchers and professionals [Internet]. www.nihr.ac.uk. Available from: https://www.nihr.ac.uk/documents/payment-guidance-for-researchers-and-professionals/27392\u003c/li\u003e\n\u003cli\u003eMicrosoft. Microsoft Teams | Group Chat, Team Chat \u0026amp; Collaboration [Internet]. www.microsoft.com. 2021. Available from: https://www.microsoft.com/en-gb/microsoft-teams/group-chat-software\u003c/li\u003e\n\u003cli\u003eHowells, A., Aquino, E.N., Bose, D. et al. Demonstrating the learning and impact of embedding participant involvement in a pandemic research study: the experience of the SARS-CoV-2 immunity \u0026amp; reinfection evaluation (SIREN) study UK, 2020\u0026ndash;2023. Res Involv Engagem 9, 97 (2023). https://doi.org/10.1186/s40900-023-00506-6\u003c/li\u003e\n\u003cli\u003eNHS England (2023). \u003cem\u003eNHS Long Term Workforce Plan\u003c/em\u003e. [online] Available at: https://www.england.nhs.uk/wp-content/uploads/2023/06/nhs-long-term-workforce-plan-v1.2.pdf. \u003c/li\u003e\n\u003cli\u003ehttps://committees.parliament.uk/publications/39117/documents/192286/default/ \u003c/li\u003e\n\u003cli\u003eFarooqi, A., Jutlla, K., Raghavan, R., Wilson, A., Uddin, M.S., Akroyd, C., Patel, N., Campbell-Morris, P.P. and Farooqi, A.T. (2022). Developing a toolkit for increasing the participation of black, Asian and minority ethnic communities in health and social care research. BMC Medical Research Methodology, 22(1). Doi: https://doi.org/10.1186/s12874-021-01489-2.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-medical-research-methodology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmrm","sideBox":"Learn more about [BMC Medical Research Methodology](http://bmcmedresmethodol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bmrm/default.aspx","title":"BMC Medical Research Methodology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Cohort retention, pandemic response, COVID-19, participant involvement, participant engagement, SIREN, SARS-CoV-2, coronavirus","lastPublishedDoi":"10.21203/rs.3.rs-4360908/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4360908/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eThe SIREN Study is a healthcare worker cohort study aiming to determine COVID-19 incidence, duration of immunity and vaccine effectiveness across 135 NHS organisations in four UK nations. Conducting an intensive prospective cohort study during a pandemic was challenging. We designed an evolving retention programme, utilising participant engagement tools underpinned by our Participant Involvement Panel (PIP) and here we evaluate cohort retention over time and identify learnings.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eA mixed method evaluation of cohort retention in 12 and 24-month follow-up. We described cohort retention by demographics and site, using odds ratios from logistic regression. Withdrawal reasons were collected by survey. We collected participant feedback via cross-sectional online survey utilising a behavioural science approach. We conducted focus groups with site teams and conducted thematic analysis exploring cohort retention challenges and facilitators.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003e37,275 (84.7%) participants completed 12-months of follow-up. Of 14,772 participants extending their follow-up to 24 months, 12,635 (85.5%) completed this. Retention increased with age in the 12 (55\u0026ndash;64 years vs\u0026thinsp;\u0026lt;\u0026thinsp;25 years OR\u0026thinsp;=\u0026thinsp;2.50; 95% CI: 2.19\u0026ndash;2.85) and 24-month (\u0026gt;\u0026thinsp;65 years vs\u0026thinsp;\u0026lt;\u0026thinsp;25 years OR\u0026thinsp;=\u0026thinsp;2.92; 95% CI: 1.78\u0026ndash;4.88) cohorts. Retention was highest in the Asian and Black compared to White ethnic groups in the 12 (OR\u0026thinsp;=\u0026thinsp;1.38; 95% CI: 1.23\u0026ndash;1.56; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, and OR\u0026thinsp;=\u0026thinsp;1.64; 95% CI: 1.30\u0026ndash;2.08) and 24-month (OR\u0026thinsp;=\u0026thinsp;1.78; 95% CI: 1.42\u0026ndash;2.25; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001, and OR\u0026thinsp;=\u0026thinsp;2.12; 95% CI: 1.41\u0026ndash;3.35) cohort. Among participants withdrawing, the median time in follow-up at withdrawal was 7 months (IQR: 4\u0026ndash;10 months) within the 12-month cohort and 19 months within the 24-month cohort (IQR: 16\u0026ndash;22 months). The top three reasons for participant withdrawal were workload, leaving site employment and medical reasons. Themes identified from focus-groups included: the need to monitor and understand participant motivation over time, the necessity of inclusive and comprehensive communication, the importance of acknowledging participant contributions, building collaboration with local research teams, and investing in the research team skillset.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eParticipant retention in the SIREN study remained high over 24-months of intensive follow-up, demonstrating that large-cohort studies are feasible as a pandemic research tool. Insights into facilitators and challenges provide learning for future studies.\u003c/p\u003e","manuscriptTitle":"Cohort retention in a pandemic response study: Lessons from the SARS-Cov-2 Immunity \u0026amp; Reinfection Evaluation (SIREN) study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-23 18:28:25","doi":"10.21203/rs.3.rs-4360908/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-11-06T07:23:42+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-11-05T23:45:24+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"180587170332839588641944006782516036976","date":"2024-10-15T10:11:58+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-07-18T09:41:50+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"244499738412660985148838637386762140043","date":"2024-07-14T08:38:53+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-06-28T06:45:07+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-05-09T17:52:39+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-05-09T17:48:04+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-05-09T17:48:04+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Medical Research Methodology","date":"2024-05-02T20:19:29+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-medical-research-methodology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmrm","sideBox":"Learn more about [BMC Medical Research Methodology](http://bmcmedresmethodol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bmrm/default.aspx","title":"BMC Medical Research Methodology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"14a2860d-ace5-4fb8-8aa3-61ed922672b2","owner":[],"postedDate":"May 23rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-02-03T16:02:37+00:00","versionOfRecord":{"articleIdentity":"rs-4360908","link":"https://doi.org/10.1186/s12874-025-02469-6","journal":{"identity":"bmc-medical-research-methodology","isVorOnly":false,"title":"BMC Medical Research Methodology"},"publishedOn":"2025-01-30 15:57:33","publishedOnDateReadable":"January 30th, 2025"},"versionCreatedAt":"2024-05-23 18:28:25","video":"","vorDoi":"10.1186/s12874-025-02469-6","vorDoiUrl":"https://doi.org/10.1186/s12874-025-02469-6","workflowStages":[]},"version":"v1","identity":"rs-4360908","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4360908","identity":"rs-4360908","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}