The feasibility and acceptability of engaging older adults living with multiple long-term conditions, frailty, and a recent deterioration in health in research: findings from the Lifestyle in Later Life – Older People’s Medicine (LiLL-OPM) study

The feasibility and acceptability of engaging older adults living with multiple long-term conditions, frailty, and a recent deterioration in health in research: findings from the Lifestyle in Later Life – Older People’s Medicine (LiLL-OPM) 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 The feasibility and acceptability of engaging older adults living with multiple long-term conditions, frailty, and a recent deterioration in health in research: findings from the Lifestyle in Later Life – Older People’s Medicine (LiLL-OPM) study Christopher Hurst, Lorelle Dismore, Antoneta Granic, Jane M. Noble, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4004667/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Oct, 2024 Read the published version in BMC Geriatrics → Version 1 posted 10 You are reading this latest preprint version Abstract Background Older adults living with multiple long-term conditions (MLTC, also known as multimorbidity) and frailty are more likely to experience a deterioration in their health requiring specialist referral or hospital admission than individuals without these syndromes. However, this group of older people are underserved by research meaning that there is a limited evidence base for their care. This study therefore aimed 1) to determine if it is feasible to recruit and collect quantitative data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health and 2) to assess if taking part in research is acceptable to this group of older adults. Methods Participants were approached and recruited for this study via an Older People’s Medicine Day Unit in Newcastle upon Tyne, UK. The study took a mixed methods approach, involving quantitative and qualitative data collection. To determine the feasibility of carrying out research in this group, we quantified recruitment rate and collected data on the health and lifestyle, including diet and physical activity, of the participants. Qualitative semi-structured interviews were undertaken to assess acceptability. Two separate interviews were carried out focusing on involving older adults in research and the participants’ experiences of taking part in the research. Interviews were analysed using thematic analysis. Results Fifty patients were approached to participate in the study with twenty-nine (58%) successfully recruited. It was feasible to collect information to describe the health and lifestyle of these older adults who demonstrated very low levels of physical activity. Participants reported that taking part in the research was acceptable to them with interview analysis generating three themes 1) developing a meaningful partnership, 2) enabling factors to participation: research at home with flexible delivery and 3) social and psychological benefits of research participation. Conclusions It is feasible and acceptable to recruit and carry out research with this underserved group of older adults. Participants found taking part in this research to be acceptable and reported overall positive experiences of their involvement in the study and indicated that they would be willing to contribute to further research in the future. Multimorbidity frailty feasibility lifestyle diet physical activity Figures Figure 1 Introduction Many older adults live with multiple long-term conditions (MLTC, also known as multimorbidity)—defined as the presence of two or more long-term health conditions, and frailty—a multi-system impairment associated with increased vulnerability to stressors [ 1 , 2 ]. The coexistence of MLTC and frailty is common [ 3 ] and these health states interact to increase the risk of adverse health outcomes [ 4 ]. For example, older people living with the combination of MLTC and frailty have increased healthcare utilisation compared to individuals without these syndromes [ 5 ]. This group of older people therefore account for a substantial and growing proportion of encounters within clinical practice [ 6 ]. Individuals living with the combination of MLTC and frailty are more likely to experience a deterioration in their health requiring specialist referral or hospital admission than individuals without these syndromes [ 2 ]. Older people who have experienced a recent deterioration in their health are often excluded from clinical research, despite being at a point in their illness trajectory where they are most likely to interact with healthcare services and require evidence-based care [ 7 , 8 ]. Including these older adults in research is important as taking part in clinical research can improve evidence-based care and lead to better outcomes for patients [ 9 , 10 ]. Commonly cited barriers to participation in research are similar for older adults living with MLTC or frailty and include; health-related factors (e.g., pain, falls, fatigue, mobility problems), personal factors (e.g., lack of perceived benefit, daily routines) and research procedures (e.g., perceived burden of participation, travel requirements) [ 8 – 10 ]. However, less is known of the barriers to research participation in older adults living with the combination of MLTC and frailty who have experienced a recent deterioration in health—a group of patients whose unpredictable illness trajectory may make clinicians reluctant to include them in research [ 8 ]. Understanding the barriers which prevent this group engaging in research, as well as how to design and deliver research to meet the needs of this group, is necessary to develop the evidence base for their care [ 7 ]. Modifiable lifestyle factors, such as diet and physical activity, are associated with improved health outcomes in this population and represent important targets for intervention and behavioural change. For example, ’healthier’ dietary patterns have been associated with a lower frailty risk [ 11 ] with evidence that higher levels of habitual physical activity can delay the onset [ 12 ] and modify the progression of frailty [ 13 ]. Additionally, both dietary [ 14 ] and physical activity based interventions [ 15 ] can support recovery from acute illness and hospitalisation, as well as the associated deconditioning, that is commonly observed in this group of older adults [ 16 ]. Understanding if it is possible to assess diet and physical activity in this group of older adults will help to inform the development and implementation of future lifestyle interventions. There remains a need to understand if older adults living with MLTC, frailty and a recent deterioration in health (identified in this study as an illness episode requiring interaction with a healthcare Day Unit Service) can be engaged in clinical research and how best to design and deliver research to meet the needs of this group. As such, the aims of this study were: 1) to determine if it is feasible to recruit and collect quantitative data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health and 2) to assess if taking part in research is acceptable to this group of older adults. Method Study design The Lifestyle in Later Life – Older People’s Medicine (LiLL-OPM) study was a mixed methods study including both qualitative and quantitative data collection [ 7 ]. The qualitative component of the LiLL-OPM study involved three semi-structured interviews focusing on 1) how to involve this group of older adults in research, 2) attitudes and barriers to resistance exercise training and 3) experiences of taking part in research. Data from the interview focusing on attitudes and barriers to resistance exercise are reported elsewhere [ 17 ]. Quantitative data collection included questionnaire-based health and lifestyle assessment and objective measurement of physical activity. The study was granted ethical approval from London – Harrow Research Ethics Committee (Ref 20/LO/1243) and received National Health Service (NHS) Health Research Authority approvals. All participants provided written informed consent and the study was conducted in accordance with the Declaration of Helsinki. Participants Participants were recruited into the study from an Older People’s Medicine Day Unit service in Newcastle, UK. Patients are typically referred to this Day Unit for Comprehensive Geriatric Assessment (CGA), including medical, functional, mental health, social and environmental dimensions, because of a recent deterioration in their health (e.g., a fall, worsening mobility, unexplained weight loss). Patients were invited to participate in the study if they were living in their own home and had experienced a recent deterioration in health (defined as an illness episode requiring interaction with healthcare services) and referred to the Older People’s Medicine (OPM) Day Unit. Potential participants were provided with a Participant Information Sheet (PIS) and a brief explanation of the study by a clinician during their visit to the Day Unit. They were contacted by a member of the research team to discuss the study in greater detail after they had had time to consider their involvement. Participants were informed that the individual elements of qualitative and quantitative data collection were optional, and they could complete as many or as few as they wished. Informal carers (i.e., relative or friend, not a paid or professional carer) were invited to support participants during study assessments at the request of the participant. Any older adults who the OPM clinician felt were inappropriate to approach (e.g., those with moderate to severe dementia, or metastatic cancer with prognosis of only a few weeks) and those who were unable to provide informed consent, were excluded. There were no specific age criteria for inclusion in the study, although patients attending the OPM Day Unit are typically aged over 65 years. There was no upper age limit for inclusion in the study. Data Collection Recruitment data To evaluate if it was feasible to recruit participants living with MLTC, frailty and a recent deterioration in health to a research study, we recorded the total number of patients invited to take part in this study, the number of participants who were recruited into the study and drop-outs. For those who declined participation, we sought to ascertain the reasons. Health and Lifestyle assessment Participants were visited in their own home by an experienced researcher (CH, LD, RD) to complete a questionnaire-based health and lifestyle assessment. Data collected included questions on demographic information, living arrangements, medication usage, social support [ 18 ] and disability [ 19 ]. Frailty status was quantified using the Fried frailty score [ 11 ] and participants were asked to self-report the presence of long-term health conditions. The SARC-F (Strength, Assistance in walking, Rise from a chair, Climbing stairs, and Falls) questionnaire was used as a screening tool for sarcopenia [ 23 ]. Diet quality was assessed using a short food frequency questionnaire with participants asked to report the frequency of consumption of listed foods with responses used to calculate a diet quality score [ 20 ]. Higher diet quality scores indicate ‘heathier’ dietary patterns, characterised by higher consumption of fruit, vegetables, and wholegrain cereals. Participants were also asked to self-rate their overall diet ( “In general, how healthy is your overall diet?” ) [ 21 ]. Appetite was assessed using the Simplified Nutritional Appetite Questionnaire (SNAQ) [ 22 ] We characterised habitual physical activity in two ways: firstly, using the Rapid Assessment of Physical Activity (RAPA) questionnaire [ 23 ] and secondly using wrist-worn accelerometery. Participants were asked to wear a wrist-worn triaxial accelerometer 24h/day for 7-days on their dominant wrist at a measurement frequency of 100 Hz (GENEActiv® Original, ActivInsights Ltd, Kimbolton, UK). Data were processed and analysed using the R-package GGIR with average acceleration used as a proxy for total physical activity. Participants were provided with a paper diary to record any times of non-wear and the reasons why. Participants were asked to self-report smoking status and alcohol intake. Semi-structured Interviews The qualitative component of the LiLL-OPM study involved semi-structured interviews. We report data from semi-structured interviews with participants conducted at two time-points during the LiLL-OPM study: 1) to investigate how to approach and involve older adults in research and 2) to explore the participants experiences of taking part in the research. Interviews were conducted in participants’ homes or online (telephone/video call) using open-ended questions. The first interview focused on approaches to recruitment and data collection methods and aimed to understand more about how to approach and involve older adults in research. For example, “We sometimes find it difficult to reach older adults living at home to invite them to take part in research. In your opinion how should we look to reach more older adults in the future to ask them to take part in research?” and “What would be the reasons that would prevent you from taking part in research and how can we help you overcome these?” . The second, shorter, interview explored participants experiences of taking part in the study, for example “‘Can you tell me what you liked/disliked about the study?” . Interviews were audio-recorded and then deleted once transcribed verbatim. All participants were allocated a pseudonym. Data Analysis Health and Lifestyle assessment Health and lifestyle variables were characterised using descriptive statistics. Interviews Data from the semi-structured interviews were analysed using reflexive thematic analysis (TA) whereby the researcher’s subjectivity is central to the analytical procedure. Meaning was therefore generated through interpretation of data, and saturation was subjective [ 24 , 25 ]. Reflexive TA provides a rich and detailed, yet complex account of data. The data were analysed using an inductive approach with emergent themes grounded within the data. The six steps involved familiarisation with the dataset by reading and re-reading the data, to become immersed with its content. Identification of interesting aspects of the data relevant to the research question were documented using codes. This involved highlighting text (short segments of the data) throughout the data transcripts and coding as much data as possible to represent meaning and patterns within the data. Initial themes were generated by examining the codes and collating data to develop significant broader partners of meaning. The themes were constructed by the researchers (LD) subjectivity and an interpretative reflexive process. Themes were discussed and reviewed by two authors (LD and CH) by checking the themes against the coded data and entire dataset. Upon review of the themes, they agreed that the themes developed from the two data collection time points overlapped and are therefore presented within the manuscript collectively. Themes were defined as pattern of shared meaning underpinned by a central concept or idea. Themes were refined, defined, and named and finally, written up with supporting quotations. Results The feasibility of recruiting older adults living with MLTC, frailty and a recent deterioration in health A total of 50 eligible patients who attended the OPM Day Unit were provided with a participant information sheet and an explanation of the study. After discussion with a member of the research team, 29 participants (58%) agreed to take part and were recruited into the study. The characteristics of these participants are described in Table 1 . Reasons for declining study participation were: too unwell (n = 9), not interested or no specific reason (n = 6), unable to re-contact (n = 3), too busy (n = 1), concern over COVID-19 (n = 1) and hospitalised (n = 1). Of the 29 participants, 28 completed the health and lifestyle assessment and 14 took part in interviews; 10 participants completed every component of the quantitative and qualitative data collection (Fig. 1). No participants dropped out of the study. The quantitative health and lifestyle assessment took 50 (Standard deviation; SD 16) minutes to complete. Qualitative interview duration was 34 (SD 11) minutes and 11 (SD 4) minutes, for interview 1 and 2, respectively. Table 1 Participants’ characteristics Characteristic All (n = 28) Men (n = 8) Women (n = 20) Age (years) 81 (7) 84 (6) 80 (7) Ethnicity [n (%)] White British 26 (93) 8 (100) 18 (90) Asian or Asian British – British Indian 1 (4) 0 (0) 1 (5) Asian or Asian British – Pakistani 1 (4) 0 (0) 1 (5) Accommodation status [n (%)] Standard housing (own home) 24 (86) 7 (88) 17 (85) Sheltered housing with warden 3 (11) 1 (13) 2 (10) Assisted living (extra care) 1 (4) 0 (0) 1 (5) Social support [n (%)] a Lubben Social Network Scale > = 12 (not at risk) 16 (57) 3 (38) 13 (65) Lubben Social Network Scale < 12 (at risk) 12 (43) 5 (63) 7 (35) Values shown are Mean (SD) unless stated otherwise a A score of less than 12 indicates an individual as being at risk for social isolation The feasibility of collecting data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health Health and lifestyle data were collected from 28 participants who completed the quantitative health and lifestyle assessment. These data are presented in Table 2 and Table 3 . Table 2 Health characteristics of participants Characteristic All (n = 28) Men (n = 8) Women (n = 20) Number of long-term conditions [n (%)] 0–1 (No MLTC) 2 (7) 2 (25) 0 (0) ≥ 2 (MLTC) 26 (93) 6 (75) 20 (100) Number of medications [n (%)] 0–4 6 (21) 3 (38) 3 (15) ≥ 5 22 (79) 5 (63) 17 (85) Fried frailty score [n (%)] 0 (Non-frail) 1 (4) 1 (13) 0 (0) 1–2 (Pre-frail) 7 (25) 1 (13) 6 (30) 3+ (Frail) 20 (71) 6 (75) 14 (70) SARC-F [n (%)] 0 1 (4) 1 (13) 0 (0) 1 2 (7) 0 (0) 2 (10) 2 1 (4) 0 (0) 1 (5) 3 1 (4) 0 (0) 1 (5) 4+ 23 (82) 7 (88) 16 (80) Disability Modified Barthel Index 89 (11) 92 (7) 88 (12) Values shown are Mean (SD) unless stated otherwise SARC-F: Strength, Assistance, Rise, Climb – Falls questionnaire Table 3 Lifestyle characteristics of participants All (n = 28) Men (n = 8) Women (n = 20) Diet Diet quality score [Median (IQR)] a 2.8 (1.2, 4.3) 1.3 (-2.4, 2.8) 3.4 (1.9, 5.1) Self-rated diet quality [n (%)] Excellent 2 (7) 1 (13) 1 (5) Very good 3 (11) 1 (13) 2 (10) Good 13 (46) 3 (38) 10 (50) Fair 7 (25) 3 (38) 4 (20) Poor 3 (11) 0 (0.0) 3 (15) SNAQ Not at risk (> 14) 14 (50) 5 (63) 9 (45) At risk ( < = 14) 14 (50) 3 (37) 11 (55) Physical activity RAPA aerobic activity score (1–7) 3.4 (1.7) 3.3 (1.9) 3.5 (1.6) RAPA strength and flexibility score (0–3) 0.4 (0.9) 0 (0.0) 0.6 (1.1) Total physical activity (m g ) 16.5 (5.6) 11.4 (2.5) 18.7 (5.1) Smoking and Alcohol Smoking status [n (%)] Never 11 (39) 2 (25) 9 (45) Previous 14 (50) 6 (75) 8 (40) Current 3 (11) 0 (0) 3 (15) Alcohol consumption (units per week) [n (%)] 0 20 (71) 4 (50) 16 (80) 1–10 5 (18) 2 (25) 3 (15) > 10 3 (11) 2 (25) 1 (5) Values shown are Mean (SD) unless stated otherwise a Higher values indicate higher quality diet b Higher values indicate higher levels of activity IQR, Interquartile range SNAQ, Simplified Nutritional Appetite Questionnaire RAPA, Rapid Assessment of Physical Activity m g , milligravitational units Dietary assessment All participants (n = 28) who undertook the health and lifestyle questionnaire were able to complete the food frequency questionnaire, enabling calculation of a diet quality score. The diet quality scores of women were higher when compared with men. However, diet scores did not correspond with the participants’ self-rated assessment (data not shown); 26% of men and 15% of women reporting their diets to be of excellent or very good quality (Table 2 ). Poor appetite was common, experienced by half (n = 14) the participants; the prevalence of poor appetite was higher among women. Objective physical activity assessment Of the 28 participants invited to wear a physical activity monitor, 27 (96%) agreed. Mean acceleration was 16.5 ± 5.6 m g . One participant declined to wear a monitor because of previous skin irritation at the wrist. All the participants wore the monitor every day across the 7-day period. Most participants made no comments on their accompanying paper diary and wore the physical activity monitor as instructed (i.e., 24 hours per day for 7 days). One participant removed the physical activity monitor to shower as they found it more comfortable. One participant removed the watch for sleeping approx. 10pm – 8 am every day as they were feeling unwell. Acceptability of taking part in research Analysis of the interview data generated three themes: 1) developing a meaningful partnership, 2) enabling factors to participation: research at home with flexible delivery and 3) social and psychological benefits of research participation. Theme 1: Developing a meaningful partnership. Participants were positive about their experiences in the study and found that the recruitment and data collection procedures were acceptable. Factors such as altruism, curiosity and having the free time to take part were motivations for participating. “Well again if it helps people of my age in the future than I’m quite happy to have taken part” (Male, Aged 74) Participants emphasised that researchers should aim to develop meaningful partnerships with older adults as research participants. This involves treating older adults fairly, taking an interest in them and having a positive attitude toward them. “I know were all elderly…but I’ve been very impressed by the way in which, we haven’t simply been dismissed… I’ve been spoken to as somebody of equal standing… I think that’s very important the way in which people are treated…I think to be treated as a fair, opinion matters” (Female A, Aged 81) This is the first time in eighty-one years that I’ve ever heard anyone interested in the elderly… you know I’ve got to this age and nobody’s ever approached us. I’ve been elderly for quite a long time, so I mean I’m not expecting anything special (Female B, Aged 81) Taking time with older adults to explain the study procedures can help to alleviate any uncertainties and alter attitudes towards participation, which in turn will help aid recruitment and support the inclusion of older adults as research partners. Research teams should consider that a lack of understanding of what research involves may be a barrier to participation. Some individuals may be frightened to take part in a research study due to fear of the unknown. “I wouldn’t have done it if you hadn’t spoken to me on the phone, I wouldn’t have done it…” (Female, Aged 78) The relationship with the individual researchers was highly valued and the participants emphasised the importance of building rapport with the researcher. Having the opportunity to ask questions and having open discussions was important to support engagement in the study. “I must admit when you first came in the first time, you probably noticed I wasn’t as relaxed as I am today…I feel more at ease at answering…” (Female, Aged 90) “Things just come to your mind and you think ‘oh I can ask about that’ or just if you’ve got any queries or anything you can ask because you cannot always get talking to them at the hospital” (Female, Aged 77) The interpersonal skills of members of the research team and the strategies involved in communicating with potential participants, are of great importance to support engagement in a research study. Theme 2: Enabling factors to participation: research at home with flexible delivery. Conducting research visits at home was identified as being important both for recruiting and retaining participants. Home visits are convenient and comfortable and can reduce the barriers associated with attending hospital for research activities. These barriers included travel costs, use of public transport and reliance on informal carers for support. “I would prefer my own home…well I would have to arrange a taxi…I mean I could do that if that was easier for you but I’m just thinking of me, it’s handy” (Female, Aged 84) “I wouldn’t have been able to take part if you hadn’t been able to come to my home, so that was a terrific plus, so that was one of the reasons that I was able to do it really (Female, aged 79) Despite this however, some older adults suggested that they would be willing to attend hospital for research purposes. “Just if there was any travelling…I don’t mind doing it…but if I can avoid travelling in anyway…I cannot get around…I cannot walk very far, short distances…I’ve got a scooter, I’ve got a walking stick…but I can’t go very far…I get a taxi…it costs me a fortune, I pay for taxi’s” (Male, Aged 87) Research visits need to be organised around older adults’ routines and there needs to be flexibility in research appointments. Some participants expressed a preference for afternoon visits because of needing time in the morning to take medication and feeling more physically able later in the day. Some older adults have a heavy reliance on informal carers and the availability of carers will impact on potential participation. “Because it gives us time, first thing in the morning I’ve got to take my time and of course my husband as well, but I go so slow in the morning until my engine starts to work a bit…so that’s why I think if we can get it into the afternoon then I’m better” (Female, Aged 79) “I’d have to take the wheelchair; I mean I can walk about the house but if I go out, I’ve got to go in the wheelchair…I cannot do very much, no because I’ve got to hold onto something the whole time…and my eyesight as well, not good” (Female, Aged 90) Participants described the assessments within the present study as being convenient, but there was variability in what was perceived to be acceptable in terms of the length of research visits (i.e., twenty minutes to a couple of hours). “It’s possible for a short visit twenty minutes yes, it’s possible once a week, as long as it doesn’t clash with dental, chiropodist, other doctors’ appointments, hospital appointments” (Female, Aged 92) Potential barriers to research participation included health-related issues such as, mobility problems (e.g., experiencing dizziness, problems with balance), a fear of falling and communication difficulties (e.g., issues with hearing or eyesight). “It’s just my balance, so standing without an aid maybe, I wouldn’t feel very comfortable with that I don’t think, you see I don’t use my stick or anything in the house very much, but I seem to sort of lose it…I think it’s the confidence that’s gone, that’s what’s gone” (Female, Aged 79) “Well, I do have a fear…when I’m walking, I do have falls sometimes. So, that’s why you know I’m very, very careful…” (Female, Aged 69) Health related problems resulted in a lack of confidence to attend appointments independently, with informal carers playing a key role in supporting their relatives. Theme 3: Social and psychological benefits of participation Participants felt that participating in the research promoted social and psychological benefits. They enjoyed spending time with the researchers and looked forward to the research visits. Participants described a sense of receiving social support through their participation and they felt that by engaging in the research it improved their mood. “It’s nice to open the door to see a nice friendly face standing there and you’ve just opened my eyes a little bit to the world again with me being so stuck indoors and not seeing anybody…its nice having the company” (Female, Aged 78) “Because it was company as well…just talking really, one to one… you as a person…in fact I look forward to seeing you…” (Female, Aged 81) The participants felt valued and gained a sense of purpose from taking part in the research. They felt positive about being involved and able to contribute to the study. “ well, you get a bit of self, self what would you call it satisfaction that you’ve done something you’ve spared the time, other people’s come to see you and it’s all for the benefit of the whole community it’s not just yourself “ (Male, Aged 86) “It’s nice to see that you can still contribute…sometimes it is the small things in life that count… you’re doing something positive, something positive coming out of it… this has made me feel quite positive again it’s sort of picked me up a little bit” (Female, Aged 78) Importantly, participants indicated that they would be willing to be involved in further research in the future. “I would, if I was well enough I would do it yeah without doubt” (Male, Aged 86) “… this has made me feel quite positive again its sort of picked me up a little bit, yes, I would ” (Female, Aged 78) Overall, the participants experienced positive outcomes through their taking part in the research. Discussion Older adults living with MLTC, frailty and a recent deterioration in health are underserved by research, resulting in a limited evidence base for their care [ 26 ]. Designing research that meets the needs of this group of older adults is necessary to fill this evidence gap. Our mixed-methods study has shown that 1) it is feasible to recruit and collect quantitative data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health; 2) taking part in research is acceptable to this group of older adults. These important findings will support the design and delivery of future research involving this population. A range of personal and structural barriers to research participation exist for older adults living with MLTC or frailty [ 8 ]. These barriers are likely to be exacerbated in those living with the combination of MLTC and frailty who can have an increasingly uncertain and less stable health trajectory. However, we have shown that it is feasible to recruit older adults living with MLTC, frailty and a recent deterioration in health, and this group of older adults are willing and able to participate in clinical research. Encouragingly, 58% of the participants who were invited to take part in the study were recruited. It may be that our approach to introducing a research opportunity during a usual clinical interaction was valuable. Previous work has suggested that healthcare providers with an already established link to the patient may enhance recruitment to clinical studies [ 27 ] with older people perceiving invitations from those involved in their care to be more meaningful [ 28 ]. These data provide useful context when planning recruitment for future studies involving this population group. Lifestyle factors including physical targeted physical activity [ 29 , 30 ] and dietary interventions [ 11 , 31 ] have potential to improve markers of health and function in older people and can support recovery from acute illness and associated deconditioning [ 32 ]. As such, there is a need to be able to assess these behaviours to evaluate relationships with health outcomes and identify opportunities for intervention. In this study, we were able to successfully describe physical activity and diet in a group of older adults living with MLTC, frailty and a recent deterioration in health – demonstrating the feasibility of data collection and use of tools that can be employed in future studies involving this population group. While questionnaire-based assessment of physical activity is inexpensive and relatively easy to administer, objective device-based assessment provides a more reliable measure by eliminating recall bias [ 33 ]. We found that wrist-worn accelerometery was feasible and acceptable to our participants. Our participants engaged in low levels of physical activity although there was meaningful between participant variation. Our data indicate that this group of older people are more active than hospitalised older adults [ 34 ] but much less active than community dwelling older adults [ 35 ]. We were able to collect data using different assessment tools on self-rated appetite and diet quality and to administer a short food frequency questionnaire. While data interpretation is limited in this small study, it is encouraging that we established the feasibility of these data collection methods in this population group. Our data also suggest that there is meaningful variability in diet within this group of older adults. The low levels of physical activity and the variation in diet observed, illustrate the need for further investigation of these behaviours in this population group. The methods we have used to do this in the current study can be employed in future work with older adults living with MLTC, frailty and a recent deterioration in health. Findings from our qualitative interviews demonstrated that participants found taking part in this research to be acceptable. Participants reported positive experiences of the study, including the recruitment and data collection methods used, and indicated that they would be willing to contribute to future research. Altruism was a common motivator for enrolling in this study, a finding reflected more widely for research participation in older people [ 36 ]. A key factor in the successful engagement of participants in this project was the development of a meaningful partnership between the participant and the researcher based on trust and mutual respect. This finding mirrors previous work showing that genuine reciprocal relationships between patients and researchers are key to engaging older adults successfully in research [ 37 ]. Participants felt valued by being listened to and appreciated the opportunity to engage with the researcher during the study visits. This highlights the importance of increased personal contact by researchers sensitive to the unique needs of older adults to support research participation [ 38 ]. Previous work has suggested that taking part in research can provide older adults with a break from everyday life and can be a way of alleviating frail older adults feelings of loneliness [ 39 ]. However, there is considerable variation in how frail older people want, and can be involved in research [ 39 ] and research teams should seek to provide various opportunities to reflect this. This could include patient and public involvement and engagement activities as well as enrolment into patient registries which can offer future research opportunities [ 40 ]. Many older people want to participate in research [ 27 ], a desire reflected by our participants, who indicated that one of the reasons they agreed to take part in the study was simply because they were asked. This highlights a clear need to provide accessible opportunities for older adults living with MLTC, frailty and a recent deterioration in health to contribute to research. The success of the present study provides important learning for future research involving this group of older adults. We found that difficulties travelling to research appointments, and the associated costs, as well as health related problems (e.g., fear of falling, poor mobility, communication difficulties) and a reliance on support from informal carers would be substantial barriers to research participation. Strategies to overcome these barriers should be embedded into the design of future research. For example, home visits are convenient and comfortable and should be offered wherever practically possible. In this study we made a considerable effort to minimise the burden of research participation, by ensuring our approach was flexible and adaptive to individual needs (e.g., research visits completed at home organised around participants’ daily routines). Minimising participant burden and ensuring a flexible and adaptive approach appear to be fundamental to the successful delivery of research in this population group [ 8 , 37 ]. Strengths and Limitations A major strength of this study is that the participants were recruited from an Older People’s Medicine Day Unit where research opportunities are usually limited, particularly for those with a recent deterioration in health. We have successfully managed to recruit and carry out research with a group who are underserved by research and are reflective of those who are seen in clinical practice. Our findings provide important learning that could support future work in this population group. Another strength of this work was that the qualitative interviews were conducted by a health psychologist (LD) with considerable experience in carrying out semi-structured interviews with older adults. However, it is acknowledged that our study sample, which were recruited from a single Day Unit, were predominantly female and of white British ethnicity. Conclusion We have shown that it is feasible to recruit and carry out research with older adults living with MLTC, frailty and a recent deterioration in health. We were able to successfully collect data health and lifestyle data from these participants and importantly our approaches to recruitment and data collection, including wearable devices, were acceptable. A personal and flexible approach should be incorporated into the design of future research involving older adults living with frailty, MLTC and a recent deterioration in health who remain underserved by research and represent an important group for inclusion in future research studies. Abbreviations CGA: Comprehensive Geriatric Assessment LiLL-OPM: Lifestyle in Later Life-Older People’s Medicine MLTC: Multiple long-term conditions NHS: National Health Service OPM: Older People’s Medicine PIS: Participant Information Sheet RAPA: Rapid Assessment of Physical Activity SARC-F: Strength, Assistance, Rise, Climb – Falls SNAQ: Simplified Nutritional Appetite Questionnaire TA: Thematic analysis Declarations Ethics approval and consent to participate This study was reviewed by the London – Harrow Research Ethics Committee who granted a favourable ethical opinion on 19th January 2021 (20/LO/1243; IRAS project ID 284186). The study was given Health Research Authority approval on the 8th February 2021 and was conducted according to the Declaration of Helsinki. All participants provided written informed consent prior to taking part in the study. Consent for publication Not applicable Availability of data and materials The datasets generated and analysed during the current study are not publicly available due to participant privacy and confidentiality. De-identified data is available from the corresponding author on reasonable request. Competing interests The authors declare that they have no competing interests. Funding The study received funding from the National Institute of Health and Care Research Newcastle Biomedical Research Centre (NU Ref 000197/PD Ref PDB 072) and underwent peer review. The funder had no role in the design of the study and collection, management, analysis, and interpretation of data, writing the manuscript and decision to submit the manuscript for publication. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. Authors’ contributions AAS and SMR conceived the idea for the study. All authors contributed to the design and conception of the study. CH, LD & RMD collected the data. CH, LD, and SH analysed the data. CH, LD, and SR drafted the manuscript. All authors (except the late RMD) have assisted in the critical revision of the manuscript and have read and approved the final version of the manuscript. Acknowledgements The authors wish to thank all participants who agreed to take part in the study. References Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. The Lancet. 2012;380:37–43. Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. The Lancet. 2013;381:752–62. Vetrano DL, Palmer K, Marengoni A, Marzetti E, Lattanzio F, Roller-Wirnsberger R, et al. Frailty and Multimorbidity: A Systematic Review and Meta-analysis. The Journals of Gerontology: Series A. 2019;74:659–66. Lujic S, Randall DA, Simpson JM, Falster MO, Jorm LR. Interaction effects of multimorbidity and frailty on adverse health outcomes in elderly hospitalised patients. Sci Rep. 2022;12:14139. Cassell A, Edwards D, Harshfield A, Rhodes K, Brimicombe J, Payne R, et al. The epidemiology of multimorbidity in primary care: a retrospective cohort study. Br J Gen Pract. 2018;68:e245–51. Yarnall AJ, Sayer AA, Clegg A, Rockwood K, Parker S, Hindle JV. New horizons in multimorbidity in older adults. Age and Ageing. 2017;46:882–8. Hurst C, Dismore L, Granic A, Tullo E, Noble JM, Hillman SJ, et al. Feasibility of engaging older adults living with multiple long-term conditions, frailty, and a recent deterioration in health in a study of lifestyle: protocol for the LiLL-OPM study. Journal of Frailty, Sarcopenia and Falls. 2023;8:127–35. Dismore L, Hurst C, Granic A, Tullo E, Witham MD, Dodds RM, et al. Why are older adults living with the complexity of multiple long-term conditions, frailty and a recent deterioration in health under-served by research? A narrative synthesis review of the literature. Journal of Frailty, Sarcopenia and Falls. 2023;8:230–9. Harris R, Dyson E. Recruitment of frail older people to research: lessons learnt through experience. Journal of Advanced Nursing. 2001;36:643–51. Provencher V, Mortenson WB, Tanguay-Garneau L, Bélanger K, Dagenais M. Challenges and strategies pertaining to recruitment and retention of frail elderly in research studies: A systematic review. Archives of Gerontology and Geriatrics. 2014;59:18–24. Ni Lochlainn M, Cox NJ, Wilson T, Hayhoe RPG, Ramsay SE, Granic A, et al. Nutrition and Frailty: Opportunities for Prevention and Treatment. Nutrients. 2021;13:2349. Peterson MJ, Giuliani C, Morey MC, Pieper CF, Evenson KR, Mercer V, et al. Physical activity as a preventative factor for frailty: The health, aging, and body composition study. Journals of Gerontology - Series A Biological Sciences and Medical Sciences. 2009;64:61–8. Rogers NT, Marshall A, Roberts CH, Demakakos P, Steptoe A, Scholes S. Physical activity and trajectories of frailty among older adults: Evidence from the English Longitudinal Study of Ageing. PLOS ONE. 2017;12:e0170878. Szklarzewska S, Mottale R, Engelman E, De Breucker S, Preiser J-C. Nutritional rehabilitation after acute illness among older patients: A systematic review and meta-analysis. Clinical Nutrition. 2023;42:309–36. Valenzuela PL, Morales JS, Castillo-García A, Mayordomo-Cava J, García-Hermoso A, Izquierdo M, et al. Effects of exercise interventions on the functional status of acutely hospitalised older adults: A systematic review and meta-analysis. Ageing Research Reviews. 2020;61:101076. Covinsky KE, Palmer RM, Fortinsky RH, Counsell SR, Stewart AL, Kresevic D, et al. Loss of Independence in Activities of Daily Living in Older Adults Hospitalized with Medical Illnesses: Increased Vulnerability with Age. Journal of the American Geriatrics Society. 2003;51:451–8. Hurst C, Dismore L, Granic A, Tullo E, Noble JM, Hillman SJ, et al. Attitudes and barriers to resistance exercise training for older adults living with multiple long-term conditions, frailty, and a recent deterioration in health: qualitative findings from the Lifestyle in Later Life – Older People’s Medicine (LiLL-OPM) study. BMC Geriatr. 2023;23:772. Lubben J, Blozik E, Gillmann G, Iliffe S, von Renteln Kruse W, Beck JC, et al. Performance of an Abbreviated Version of the Lubben Social Network Scale Among Three European Community-Dwelling Older Adult Populations. The Gerontologist. 2006;46:503–13. Shah S, Vanclay F, Cooper B. Improving the sensitivity of the Barthel Index for stroke rehabilitation. Journal of Clinical Epidemiology. 1989;42:703–9. Robinson SM, Jameson KA, Bloom I, Ntani G, Crozier SR, Syddall H, et al. Development of a short questionnaire to assess diet quality among older community-dwelling adults. J Nutr Health Aging. 2017;21:247–53. Beasley J, Sardina P, Johnston E, Ganguzza L, Padikkala J, Bagheri A, et al. Integrating a diet quality screener into a cardiology practice: assessment of nutrition counseling, cardiometabolic risk factors and patient/provider satisfaction. BMJ Nutr Prev Health. 2020;3:24–30. Wilson M-MG, Thomas DR, Rubenstein LZ, Chibnall JT, Anderson S, Baxi A, et al. Appetite assessment: simple appetite questionnaire predicts weight loss in community-dwelling adults and nursing home residents. The American Journal of Clinical Nutrition. 2005;82:1074–81. Topolski TD, LoGerfo J, Patrick DL, Williams B, Walwick J, Patrick MMB. The Rapid Assessment of Physical Activity (RAPA) Among Older Adults. Prev Chronic Dis. 2006;3:A118. Braun V, Clarke V. Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health. 2019;11:589–97. Braun, V, Clarke, V. Thematic analysis: A practical guide. London: SAGE; 2021. Goodwin VA, Low MSA, Quinn TJ, Cockcroft EJ, Shepherd V, Evans PH, et al. Including older people in health and social care research: best practice recommendations based on the INCLUDE framework. Age and Ageing. 2023;52:afad082. Witham MD, McMurdo MET. How to Get Older People Included in Clinical Studies. Drugs Aging. 2007;24:187–96. Bartlam B, Crome P, Lally F, Beswick AD, Cherubini A, Clarfield AM, et al. The views of older people and carers on participation in clinical trials : the PREDICT Study. Clinical Investigation. 2012;2. Hurst C, Robinson SM, Witham MD, Dodds RM, Granic A, Buckland C, et al. Resistance exercise as a treatment for sarcopenia: prescription and delivery. Age and Ageing. 2022;51:afac003. Hurst C, Sayer AA. Improving muscle strength and physical function in older people living with sarcopenia and physical frailty: Not all exercise is created equal. Journal of the Royal College of Physicians of Edinburgh. 2022;:147827152211048. Granic A, Sayer A, Robinson S. Dietary Patterns, Skeletal Muscle Health, and Sarcopenia in Older Adults. Nutrients. 2019;11:745. Kanach FA, Pastva AM, Hall KS, Pavon JM, Morey MC. Effects of Structured Exercise Interventions for Older Adults Hospitalized With Acute Medical Illness: A Systematic Review. Journal of Aging and Physical Activity. 26:284–303. Falck RS, McDonald SM, Beets MW, Brazendale K, Liu-Ambrose T. Measurement of physical activity in older adult interventions: a systematic review. Br J Sports Med. 2016;50:464–70. Lim SER, Dodds R, Bacon D, Sayer AA, Roberts HC. Physical activity among hospitalised older people: insights from upper and lower limb accelerometry. Aging Clin Exp Res. 2018;30:1363–9. Bielemann RM, Oliveira R, Bertoldi AD, Tomasi E, Demarco FF, Gonzalez MC, et al. Objective and self-reported physical activity and risk of falling among community-dwelling older adults from Southern Brazil. J Aging Phys Act. 2022;30:972–9. Baczynska AM, Shaw SC, Patel HP, Sayer AA, Roberts HC. Learning from older peoples’ reasons for participating in demanding, intensive epidemiological studies: a qualitative study. BMC Medical Research Methodology. 2017;17:167. Markle-Reid M, Ganann R, Ploeg J, Heald-Taylor G, Kennedy L, McAiney C, et al. Engagement of older adults with multimorbidity as patient research partners: Lessons from a patient-oriented research program. Journal of Multimorbidity and Comorbidity. 2021;11:2633556521999508. Dibartolo MC, McCrone S. Recruitment of rural community-dwelling older adults: Barriers, challenges, and strategies. Aging & Mental Health. 2003;7:75–82. Berge I, Barenfeld E, Dahlin-Ivanoff S, Haak M, Lood Q. Challenging oneself on the threshold to the world of research – frail older people’s experiences of involvement in research. BMC Geriatrics. 2020;20:410. Witham MD, Heslop P, Dodds RM, Clegg AP, Hope SV, McDonald C, et al. Developing a UK sarcopenia registry: recruitment and baseline characteristics of the SarcNet pilot. Age and Ageing. 2021;50:1762–9. Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4004667","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":287390814,"identity":"ed6407b9-4a7b-40c1-af24-afc478092c32","order_by":0,"name":"Christopher Hurst","email":"","orcid":"","institution":"AGE Research Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University","correspondingAuthor":false,"prefix":"","firstName":"Christopher","middleName":"","lastName":"Hurst","suffix":""},{"id":287390815,"identity":"e59fdfa4-a464-4eb1-8363-f4fa726141bf","order_by":1,"name":"Lorelle Dismore","email":"","orcid":"","institution":"AGE Research Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University","correspondingAuthor":false,"prefix":"","firstName":"Lorelle","middleName":"","lastName":"Dismore","suffix":""},{"id":287390816,"identity":"ad4913b7-94c2-46fb-98a4-f41ba1de3043","order_by":2,"name":"Antoneta Granic","email":"","orcid":"","institution":"AGE Research Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University","correspondingAuthor":false,"prefix":"","firstName":"Antoneta","middleName":"","lastName":"Granic","suffix":""},{"id":287390817,"identity":"dae415f3-3ba5-4666-9f63-fcceb36faf42","order_by":3,"name":"Jane M. 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The coexistence of MLTC and frailty is common [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e] and these health states interact to increase the risk of adverse health outcomes [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. For example, older people living with the combination of MLTC and frailty have increased healthcare utilisation compared to individuals without these syndromes [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. This group of older people therefore account for a substantial and growing proportion of encounters within clinical practice [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIndividuals living with the combination of MLTC and frailty are more likely to experience a deterioration in their health requiring specialist referral or hospital admission than individuals without these syndromes [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Older people who have experienced a recent deterioration in their health are often excluded from clinical research, despite being at a point in their illness trajectory where they are most likely to interact with healthcare services and require evidence-based care [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Including these older adults in research is important as taking part in clinical research can improve evidence-based care and lead to better outcomes for patients [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eCommonly cited barriers to participation in research are similar for older adults living with MLTC or frailty and include; health-related factors (e.g., pain, falls, fatigue, mobility problems), personal factors (e.g., lack of perceived benefit, daily routines) and research procedures (e.g., perceived burden of participation, travel requirements) [\u003cspan additionalcitationids=\"CR9\" citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. However, less is known of the barriers to research participation in older adults living with the combination of MLTC and frailty who have experienced a recent deterioration in health\u0026mdash;a group of patients whose unpredictable illness trajectory may make clinicians reluctant to include them in research [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Understanding the barriers which prevent this group engaging in research, as well as how to design and deliver research to meet the needs of this group, is necessary to develop the evidence base for their care [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eModifiable lifestyle factors, such as diet and physical activity, are associated with improved health outcomes in this population and represent important targets for intervention and behavioural change. For example, \u0026rsquo;healthier\u0026rsquo; dietary patterns have been associated with a lower frailty risk [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e] with evidence that higher levels of habitual physical activity can delay the onset [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e] and modify the progression of frailty [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Additionally, both dietary [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e] and physical activity based interventions [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e] can support recovery from acute illness and hospitalisation, as well as the associated deconditioning, that is commonly observed in this group of older adults [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Understanding if it is possible to assess diet and physical activity in this group of older adults will help to inform the development and implementation of future lifestyle interventions.\u003c/p\u003e \u003cp\u003eThere remains a need to understand if older adults living with MLTC, frailty and a recent deterioration in health (identified in this study as an illness episode requiring interaction with a healthcare Day Unit Service) can be engaged in clinical research and how best to design and deliver research to meet the needs of this group. As such, the aims of this study were: 1) to determine if it is feasible to recruit and collect quantitative data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health and 2) to assess if taking part in research is acceptable to this group of older adults.\u003c/p\u003e"},{"header":"Method","content":"\u003cp\u003e \u003cb\u003eStudy design\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe Lifestyle in Later Life \u0026ndash; Older People\u0026rsquo;s Medicine (LiLL-OPM) study was a mixed methods study including both qualitative and quantitative data collection [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. The qualitative component of the LiLL-OPM study involved three semi-structured interviews focusing on 1) how to involve this group of older adults in research, 2) attitudes and barriers to resistance exercise training and 3) experiences of taking part in research. Data from the interview focusing on attitudes and barriers to resistance exercise are reported elsewhere [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Quantitative data collection included questionnaire-based health and lifestyle assessment and objective measurement of physical activity. The study was granted ethical approval from London \u0026ndash; Harrow Research Ethics Committee (Ref 20/LO/1243) and received National Health Service (NHS) Health Research Authority approvals. All participants provided written informed consent and the study was conducted in accordance with the Declaration of Helsinki.\u003c/p\u003e\n\u003ch3\u003eParticipants\u003c/h3\u003e\n\u003cp\u003eParticipants were recruited into the study from an Older People\u0026rsquo;s Medicine Day Unit service in Newcastle, UK. Patients are typically referred to this Day Unit for Comprehensive Geriatric Assessment (CGA), including medical, functional, mental health, social and environmental dimensions, because of a recent deterioration in their health (e.g., a fall, worsening mobility, unexplained weight loss). Patients were invited to participate in the study if they were living in their own home and had experienced a recent deterioration in health (defined as an illness episode requiring interaction with healthcare services) and referred to the Older People\u0026rsquo;s Medicine (OPM) Day Unit. Potential participants were provided with a Participant Information Sheet (PIS) and a brief explanation of the study by a clinician during their visit to the Day Unit. They were contacted by a member of the research team to discuss the study in greater detail after they had had time to consider their involvement. Participants were informed that the individual elements of qualitative and quantitative data collection were optional, and they could complete as many or as few as they wished. Informal carers (i.e., relative or friend, not a paid or professional carer) were invited to support participants during study assessments at the request of the participant. Any older adults who the OPM clinician felt were inappropriate to approach (e.g., those with moderate to severe dementia, or metastatic cancer with prognosis of only a few weeks) and those who were unable to provide informed consent, were excluded. There were no specific age criteria for inclusion in the study, although patients attending the OPM Day Unit are typically aged over 65 years. There was no upper age limit for inclusion in the study.\u003c/p\u003e\n\u003ch3\u003eData Collection\u003c/h3\u003e\n\u003cp\u003e \u003cem\u003eRecruitment data\u003c/em\u003e \u003c/p\u003e \u003cp\u003eTo evaluate if it was feasible to recruit participants living with MLTC, frailty and a recent deterioration in health to a research study, we recorded the total number of patients invited to take part in this study, the number of participants who were recruited into the study and drop-outs. For those who declined participation, we sought to ascertain the reasons.\u003c/p\u003e \u003cp\u003e \u003cem\u003eHealth and Lifestyle assessment\u003c/em\u003e \u003c/p\u003e \u003cp\u003eParticipants were visited in their own home by an experienced researcher (CH, LD, RD) to complete a questionnaire-based health and lifestyle assessment. Data collected included questions on demographic information, living arrangements, medication usage, social support [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e] and disability [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Frailty status was quantified using the Fried frailty score [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e] and participants were asked to self-report the presence of long-term health conditions. The SARC-F (Strength, Assistance in walking, Rise from a chair, Climbing stairs, and Falls) questionnaire was used as a screening tool for sarcopenia [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eDiet quality was assessed using a short food frequency questionnaire with participants asked to report the frequency of consumption of listed foods with responses used to calculate a diet quality score [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Higher diet quality scores indicate \u0026lsquo;heathier\u0026rsquo; dietary patterns, characterised by higher consumption of fruit, vegetables, and wholegrain cereals. Participants were also asked to self-rate their overall diet (\u003cem\u003e\u0026ldquo;In general, how healthy is your overall diet?\u0026rdquo;\u003c/em\u003e) [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Appetite was assessed using the Simplified Nutritional Appetite Questionnaire (SNAQ) [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e] We characterised habitual physical activity in two ways: firstly, using the Rapid Assessment of Physical Activity (RAPA) questionnaire [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e] and secondly using wrist-worn accelerometery. Participants were asked to wear a wrist-worn triaxial accelerometer 24h/day for 7-days on their dominant wrist at a measurement frequency of 100 Hz (GENEActiv\u0026reg; Original, ActivInsights Ltd, Kimbolton, UK). Data were processed and analysed using the R-package \u003cem\u003eGGIR\u003c/em\u003e with average acceleration used as a proxy for total physical activity. Participants were provided with a paper diary to record any times of non-wear and the reasons why. Participants were asked to self-report smoking status and alcohol intake.\u003c/p\u003e \u003cp\u003e \u003cem\u003eSemi-structured Interviews\u003c/em\u003e \u003c/p\u003e \u003cp\u003eThe qualitative component of the LiLL-OPM study involved semi-structured interviews. We report data from semi-structured interviews with participants conducted at two time-points during the LiLL-OPM study: 1) to investigate how to approach and involve older adults in research and 2) to explore the participants experiences of taking part in the research. Interviews were conducted in participants\u0026rsquo; homes or online (telephone/video call) using open-ended questions. The first interview focused on approaches to recruitment and data collection methods and aimed to understand more about how to approach and involve older adults in research. For example, \u003cem\u003e\u0026ldquo;We sometimes find it difficult to reach older adults living at home to invite them to take part in research. In your opinion how should we look to reach more older adults in the future to ask them to take part in research?\u0026rdquo;\u003c/em\u003e and \u003cem\u003e\u0026ldquo;What would be the reasons that would prevent you from taking part in research and how can we help you overcome these?\u0026rdquo;\u003c/em\u003e. The second, shorter, interview explored participants experiences of taking part in the study, for example \u003cem\u003e\u0026ldquo;\u0026lsquo;Can you tell me what you liked/disliked about the study?\u0026rdquo;\u003c/em\u003e. Interviews were audio-recorded and then deleted once transcribed verbatim. All participants were allocated a pseudonym.\u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eData Analysis\u003c/h2\u003e \u003cp\u003e \u003cem\u003eHealth and Lifestyle assessment\u003c/em\u003e \u003c/p\u003e \u003cp\u003eHealth and lifestyle variables were characterised using descriptive statistics.\u003c/p\u003e \u003cp\u003e \u003cem\u003eInterviews\u003c/em\u003e \u003c/p\u003e \u003cp\u003eData from the semi-structured interviews were analysed using reflexive thematic analysis (TA) whereby the researcher\u0026rsquo;s subjectivity is central to the analytical procedure. Meaning was therefore generated through interpretation of data, and saturation was subjective [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Reflexive TA provides a rich and detailed, yet complex account of data. The data were analysed using an inductive approach with emergent themes grounded within the data. The six steps involved familiarisation with the dataset by reading and re-reading the data, to become immersed with its content. Identification of interesting aspects of the data relevant to the research question were documented using codes. This involved highlighting text (short segments of the data) throughout the data transcripts and coding as much data as possible to represent meaning and patterns within the data. Initial themes were generated by examining the codes and collating data to develop significant broader partners of meaning. The themes were constructed by the researchers (LD) subjectivity and an interpretative reflexive process. Themes were discussed and reviewed by two authors (LD and CH) by checking the themes against the coded data and entire dataset. Upon review of the themes, they agreed that the themes developed from the two data collection time points overlapped and are therefore presented within the manuscript collectively. Themes were defined as pattern of shared meaning underpinned by a central concept or idea. Themes were refined, defined, and named and finally, written up with supporting quotations.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eThe feasibility of recruiting older adults living with MLTC, frailty and a recent deterioration in health\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 50 eligible patients who attended the OPM Day Unit were provided with a participant information sheet and an explanation of the study. After discussion with a member of the research team, 29 participants (58%) agreed to take part and were recruited into the study. The characteristics of these participants are described in Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e. Reasons for declining study participation were: too unwell (n\u0026thinsp;=\u0026thinsp;9), not interested or no specific reason (n\u0026thinsp;=\u0026thinsp;6), unable to re-contact (n\u0026thinsp;=\u0026thinsp;3), too busy (n\u0026thinsp;=\u0026thinsp;1), concern over COVID-19 (n\u0026thinsp;=\u0026thinsp;1) and hospitalised (n\u0026thinsp;=\u0026thinsp;1).\u003c/p\u003e\n\u003cp\u003eOf the 29 participants, 28 completed the health and lifestyle assessment and 14 took part in interviews; 10 participants completed every component of the quantitative and qualitative data collection (Fig. 1). No participants dropped out of the study. The quantitative health and lifestyle assessment took 50 (Standard deviation; SD 16) minutes to complete. Qualitative interview duration was 34 (SD 11) minutes and 11 (SD 4) minutes, for interview 1 and 2, respectively.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\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\u003eParticipants\u0026rsquo; characteristics\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"4\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCharacteristic\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAll (n\u0026thinsp;=\u0026thinsp;28)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMen (n\u0026thinsp;=\u0026thinsp;8)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eWomen (n\u0026thinsp;=\u0026thinsp;20)\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\u003eAge (years)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e81 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e84 (6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e80 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eEthnicity [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eWhite British\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26 (93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8 (100)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18 (90)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAsian or Asian British \u0026ndash; British Indian\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAsian or Asian British \u0026ndash; Pakistani\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eAccommodation status [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eStandard housing (own home)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24 (86)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7 (88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17 (85)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSheltered housing with warden\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (10)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAssisted living (extra care)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eSocial support [n (%)]\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eLubben Social Network Scale\u0026thinsp;\u0026gt;\u0026thinsp;=\u0026thinsp;12 (not at risk)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16 (57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13 (65)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eLubben Social Network Scale\u0026thinsp;\u0026lt;\u0026thinsp;12 (at risk)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12 (43)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5 (63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7 (35)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eValues shown are Mean (SD) unless stated otherwise\u003c/p\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003e A score of less than 12 indicates an individual as being at risk for social isolation\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eThe feasibility of collecting data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHealth and lifestyle data were collected from 28 participants who completed the quantitative health and lifestyle assessment. These data are presented in Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e and Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eHealth characteristics of participants\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"4\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCharacteristic\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAll (n\u0026thinsp;=\u0026thinsp;28)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMen (n\u0026thinsp;=\u0026thinsp;8)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eWomen (n\u0026thinsp;=\u0026thinsp;20)\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\" colspan=\"4\"\u003e\n \u003cp\u003eNumber of long-term conditions [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u0026ndash;1 (No MLTC)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ge;\u0026thinsp;2 (MLTC)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26 (93)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6 (75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20 (100)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eNumber of medications [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u0026ndash;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6 (21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (15)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026ge;\u0026thinsp;5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22 (79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5 (63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17 (85)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eFried frailty score [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (Non-frail)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u0026ndash;2 (Pre-frail)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7 (25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6 (30)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3+ (Frail)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20 (71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6 (75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14 (70)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eSARC-F [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (10)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23 (82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7 (88)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16 (80)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eDisability\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eModified Barthel Index\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e89 (11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e92 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e88 (12)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eValues shown are Mean (SD) unless stated otherwise\u003c/p\u003e\n \u003cp\u003eSARC-F: Strength, Assistance, Rise, Climb \u0026ndash; Falls questionnaire\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eLifestyle characteristics of participants\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"4\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAll (n\u0026thinsp;=\u0026thinsp;28)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMen (n\u0026thinsp;=\u0026thinsp;8)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eWomen (n\u0026thinsp;=\u0026thinsp;20)\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\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eDiet\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDiet quality score\u003c/p\u003e\n \u003cp\u003e[Median (IQR)] \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.8 (1.2, 4.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.3 (-2.4, 2.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.4 (1.9, 5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eSelf-rated diet quality [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eExcellent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eVery good\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (13)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (10)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13 (46)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10 (50)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFair\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7 (25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4 (20)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (15)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eSNAQ\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNot at risk (\u0026gt;\u0026thinsp;14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14 (50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5 (63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9 (45)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAt risk (\u0026thinsp;\u0026lt;\u0026thinsp;=\u0026thinsp;14)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14 (50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (37)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11 (55)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical activity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRAPA aerobic activity score (1\u0026ndash;7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.4 (1.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.3 (1.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.5 (1.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRAPA strength and flexibility score (0\u0026ndash;3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.4 (0.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.6 (1.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTotal physical activity (m\u003cem\u003eg\u003c/em\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.5 (5.6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.4 (2.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.7 (5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003e\u003cstrong\u003eSmoking and Alcohol\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eSmoking status [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNever\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11 (39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9 (45)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePrevious\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14 (50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6 (75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8 (40)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCurrent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0 (0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (15)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eAlcohol consumption (units per week) [n (%)]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20 (71)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4 (50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16 (80)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u0026ndash;10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5 (18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (15)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026gt;\u0026thinsp;10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3 (11)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2 (25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1 (5)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003eValues shown are Mean (SD) unless stated otherwise\u003c/p\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003e Higher values indicate higher quality diet\u003c/p\u003e\n \u003cp\u003e\u003csup\u003eb\u003c/sup\u003e Higher values indicate higher levels of activity\u003c/p\u003e\n \u003cp\u003eIQR, Interquartile range\u003c/p\u003e\n \u003cp\u003eSNAQ, Simplified Nutritional Appetite Questionnaire\u003c/p\u003e\n \u003cp\u003eRAPA, Rapid Assessment of Physical Activity\u003c/p\u003e\n \u003cp\u003em\u003cem\u003eg\u003c/em\u003e, milligravitational units\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cem\u003eDietary assessment\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eAll participants (n\u0026thinsp;=\u0026thinsp;28) who undertook the health and lifestyle questionnaire were able to complete the food frequency questionnaire, enabling calculation of a diet quality score. The diet quality scores of women were higher when compared with men. However, diet scores did not correspond with the participants\u0026rsquo; self-rated assessment (data not shown); 26% of men and 15% of women reporting their diets to be of excellent or very good quality (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). Poor appetite was common, experienced by half (n\u0026thinsp;=\u0026thinsp;14) the participants; the prevalence of poor appetite was higher among women.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eObjective physical activity assessment\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eOf the 28 participants invited to wear a physical activity monitor, 27 (96%) agreed. Mean acceleration was 16.5\u0026thinsp;\u0026plusmn;\u0026thinsp;5.6 m\u003cem\u003eg\u003c/em\u003e. One participant declined to wear a monitor because of previous skin irritation at the wrist. All the participants wore the monitor every day across the 7-day period. Most participants made no comments on their accompanying paper diary and wore the physical activity monitor as instructed (i.e., 24 hours per day for 7 days). One participant removed the physical activity monitor to shower as they found it more comfortable. One participant removed the watch for sleeping approx. 10pm \u0026ndash; 8 am every day as they were feeling unwell.\u003c/p\u003e\n\u003ch3\u003eAcceptability of taking part in research\u003c/h3\u003e\n\u003cp\u003eAnalysis of the interview data generated three themes: 1) developing a meaningful partnership, 2) enabling factors to participation: research at home with flexible delivery and 3) social and psychological benefits of research participation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 1: Developing a meaningful partnership.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eParticipants were positive about their experiences in the study and found that the recruitment and data collection procedures were acceptable. Factors such as altruism, curiosity and having the free time to take part were motivations for participating.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Well again if it helps people of my age in the future than I\u0026rsquo;m quite happy to have taken part\u0026rdquo;\u003c/em\u003e (Male, Aged 74)\u003c/p\u003e\n\u003cp\u003eParticipants emphasised that researchers should aim to develop meaningful partnerships with older adults as research participants. This involves treating older adults fairly, taking an interest in them and having a positive attitude toward them.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I know were all elderly\u0026hellip;but I\u0026rsquo;ve been very impressed by the way in which, we haven\u0026rsquo;t simply been dismissed\u0026hellip; I\u0026rsquo;ve been spoken to as somebody of equal standing\u0026hellip; I think that\u0026rsquo;s very important the way in which people are treated\u0026hellip;I think to be treated as a fair, opinion matters\u0026rdquo;\u003c/em\u003e (Female A, Aged 81)\u003c/p\u003e\n\u003cdiv class=\"BlockQuote\"\u003e\n \u003cp\u003eThis is the first time in eighty-one years that I\u0026rsquo;ve ever heard anyone interested in the elderly\u0026hellip; you know I\u0026rsquo;ve got to this age and nobody\u0026rsquo;s ever approached us. I\u0026rsquo;ve been elderly for quite a long time, so I mean I\u0026rsquo;m not expecting anything special\u003c/p\u003e\n\u003c/div\u003e\n\u003cp\u003e(Female B, Aged 81)\u003c/p\u003e\n\u003cp\u003eTaking time with older adults to explain the study procedures can help to alleviate any uncertainties and alter attitudes towards participation, which in turn will help aid recruitment and support the inclusion of older adults as research partners. Research teams should consider that a lack of understanding of what research involves may be a barrier to participation. Some individuals may be frightened to take part in a research study due to fear of the unknown.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I wouldn\u0026rsquo;t have done it if you hadn\u0026rsquo;t spoken to me on the phone, I wouldn\u0026rsquo;t have done it\u0026hellip;\u0026rdquo; (Female, Aged 78)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe relationship with the individual researchers was highly valued and the participants emphasised the importance of building rapport with the researcher. Having the opportunity to ask questions and having open discussions was important to support engagement in the study.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I must admit when you first came in the first time, you probably noticed I wasn\u0026rsquo;t as relaxed as I am today\u0026hellip;I feel more at ease at answering\u0026hellip;\u0026rdquo; (Female, Aged 90)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Things just come to your mind and you think \u0026lsquo;oh I can ask about that\u0026rsquo; or just if you\u0026rsquo;ve got any queries or anything you can ask because you cannot always get talking to them at the hospital\u0026rdquo; (Female, Aged 77)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe interpersonal skills of members of the research team and the strategies involved in communicating with potential participants, are of great importance to support engagement in a research study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 2: Enabling factors to participation: research at home with flexible delivery.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConducting research visits at home was identified as being important both for recruiting and retaining participants. Home visits are convenient and comfortable and can reduce the barriers associated with attending hospital for research activities. These barriers included travel costs, use of public transport and reliance on informal carers for support.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I would prefer my own home\u0026hellip;well I would have to arrange a taxi\u0026hellip;I mean I could do that if that was easier for you but I\u0026rsquo;m just thinking of me, it\u0026rsquo;s handy\u0026rdquo; (Female, Aged 84)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I wouldn\u0026rsquo;t have been able to take part if you hadn\u0026rsquo;t been able to come to my home, so that was a terrific plus, so that was one of the reasons that I was able to do it really (Female, aged 79)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eDespite this however, some older adults suggested that they would be willing to attend hospital for research purposes.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Just if there was any travelling\u0026hellip;I don\u0026rsquo;t mind doing it\u0026hellip;but if I can avoid travelling in anyway\u0026hellip;I cannot get around\u0026hellip;I cannot walk very far, short distances\u0026hellip;I\u0026rsquo;ve got a scooter, I\u0026rsquo;ve got a walking stick\u0026hellip;but I can\u0026rsquo;t go very far\u0026hellip;I get a taxi\u0026hellip;it costs me a fortune, I pay for taxi\u0026rsquo;s\u0026rdquo; (Male, Aged 87)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eResearch visits need to be organised around older adults\u0026rsquo; routines and there needs to be flexibility in research appointments. Some participants expressed a preference for afternoon visits because of needing time in the morning to take medication and feeling more physically able later in the day. Some older adults have a heavy reliance on informal carers and the availability of carers will impact on potential participation.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Because it gives us time, first thing in the morning I\u0026rsquo;ve got to take my time and of course my husband as well, but I go so slow in the morning until my engine starts to work a bit\u0026hellip;so that\u0026rsquo;s why I think if we can get it into the afternoon then I\u0026rsquo;m better\u0026rdquo; (Female, Aged 79)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I\u0026rsquo;d have to take the wheelchair; I mean I can walk about the house but if I go out, I\u0026rsquo;ve got to go in the wheelchair\u0026hellip;I cannot do very much, no because I\u0026rsquo;ve got to hold onto something the whole time\u0026hellip;and my eyesight as well, not good\u0026rdquo; (Female, Aged 90)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eParticipants described the assessments within the present study as being convenient, but there was variability in what was perceived to be acceptable in terms of the length of research visits (i.e., twenty minutes to a couple of hours).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;It\u0026rsquo;s possible for a short visit twenty minutes yes, it\u0026rsquo;s possible once a week, as long as it doesn\u0026rsquo;t clash with dental, chiropodist, other doctors\u0026rsquo; appointments, hospital appointments\u0026rdquo; (Female, Aged 92)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ePotential barriers to research participation included health-related issues such as, mobility problems (e.g., experiencing dizziness, problems with balance), a fear of falling and communication difficulties (e.g., issues with hearing or eyesight).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;It\u0026rsquo;s just my balance, so standing without an aid maybe, I wouldn\u0026rsquo;t feel very comfortable with that I don\u0026rsquo;t think, you see I don\u0026rsquo;t use my stick or anything in the house very much, but I seem to sort of lose it\u0026hellip;I think it\u0026rsquo;s the confidence that\u0026rsquo;s gone, that\u0026rsquo;s what\u0026rsquo;s gone\u0026rdquo; (Female, Aged 79)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Well, I do have a fear\u0026hellip;when I\u0026rsquo;m walking, I do have falls sometimes. So, that\u0026rsquo;s why you know I\u0026rsquo;m very, very careful\u0026hellip;\u0026rdquo; (Female, Aged 69)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eHealth related problems resulted in a lack of confidence to attend appointments independently, with informal carers playing a key role in supporting their relatives.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTheme 3: Social and psychological benefits of participation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eParticipants felt that participating in the research promoted social and psychological benefits. They enjoyed spending time with the researchers and looked forward to the research visits. Participants described a sense of receiving social support through their participation and they felt that by engaging in the research it improved their mood.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;It\u0026rsquo;s nice to open the door to see a nice friendly face standing there and you\u0026rsquo;ve just opened my eyes a little bit to the world again with me being so stuck indoors and not seeing anybody\u0026hellip;its nice having the company\u0026rdquo; (Female, Aged 78)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;Because it was company as well\u0026hellip;just talking really, one to one\u0026hellip; you as a person\u0026hellip;in fact I look forward to seeing you\u0026hellip;\u0026rdquo; (Female, Aged 81)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe participants felt valued and gained a sense of purpose from taking part in the research. They felt positive about being involved and able to contribute to the study.\u003c/p\u003e\n\u003cp\u003e\u0026ldquo;\u003cem\u003ewell, you get a bit of self, self what would you call it satisfaction that you\u0026rsquo;ve done something you\u0026rsquo;ve spared the time, other people\u0026rsquo;s come to see you and it\u0026rsquo;s all for the benefit of the whole community it\u0026rsquo;s not just yourself\u003c/em\u003e \u0026ldquo; (Male, Aged 86)\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;It\u0026rsquo;s nice to see that you can still contribute\u0026hellip;sometimes it is the small things in life that count\u0026hellip; you\u0026rsquo;re doing something positive, something positive coming out of it\u0026hellip; this has made me feel quite positive again it\u0026rsquo;s sort of picked me up a little bit\u0026rdquo; (Female, Aged 78)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eImportantly, participants indicated that they would be willing to be involved in further research in the future.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I would, if I was well enough I would do it yeah without doubt\u0026rdquo;\u003c/em\u003e (Male, Aged 86)\u003c/p\u003e\n\u003cp\u003e\u0026ldquo;\u0026hellip; \u003cem\u003ethis has made me feel quite positive again its sort of picked me up a little bit, yes, I would\u003c/em\u003e\u0026rdquo; (Female, Aged 78)\u003c/p\u003e\n\u003cp\u003eOverall, the participants experienced positive outcomes through their taking part in the research.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eOlder adults living with MLTC, frailty and a recent deterioration in health are underserved by research, resulting in a limited evidence base for their care [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. Designing research that meets the needs of this group of older adults is necessary to fill this evidence gap. Our mixed-methods study has shown that 1) it is feasible to recruit and collect quantitative data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health; 2) taking part in research is acceptable to this group of older adults. These important findings will support the design and delivery of future research involving this population.\u003c/p\u003e \u003cp\u003eA range of personal and structural barriers to research participation exist for older adults living with MLTC or frailty [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. These barriers are likely to be exacerbated in those living with the combination of MLTC and frailty who can have an increasingly uncertain and less stable health trajectory. However, we have shown that it is feasible to recruit older adults living with MLTC, frailty and a recent deterioration in health, and this group of older adults are willing and able to participate in clinical research. Encouragingly, 58% of the participants who were invited to take part in the study were recruited. It may be that our approach to introducing a research opportunity during a usual clinical interaction was valuable. Previous work has suggested that healthcare providers with an already established link to the patient may enhance recruitment to clinical studies [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e] with older people perceiving invitations from those involved in their care to be more meaningful [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. These data provide useful context when planning recruitment for future studies involving this population group.\u003c/p\u003e \u003cp\u003eLifestyle factors including physical targeted physical activity [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e] and dietary interventions [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e] have potential to improve markers of health and function in older people and can support recovery from acute illness and associated deconditioning [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. As such, there is a need to be able to assess these behaviours to evaluate relationships with health outcomes and identify opportunities for intervention. In this study, we were able to successfully describe physical activity and diet in a group of older adults living with MLTC, frailty and a recent deterioration in health \u0026ndash; demonstrating the feasibility of data collection and use of tools that can be employed in future studies involving this population group. While questionnaire-based assessment of physical activity is inexpensive and relatively easy to administer, objective device-based assessment provides a more reliable measure by eliminating recall bias [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. We found that wrist-worn accelerometery was feasible and acceptable to our participants. Our participants engaged in low levels of physical activity although there was meaningful between participant variation. Our data indicate that this group of older people are more active than hospitalised older adults [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e] but much less active than community dwelling older adults [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. We were able to collect data using different assessment tools on self-rated appetite and diet quality and to administer a short food frequency questionnaire. While data interpretation is limited in this small study, it is encouraging that we established the feasibility of these data collection methods in this population group. Our data also suggest that there is meaningful variability in diet within this group of older adults. The low levels of physical activity and the variation in diet observed, illustrate the need for further investigation of these behaviours in this population group. The methods we have used to do this in the current study can be employed in future work with older adults living with MLTC, frailty and a recent deterioration in health.\u003c/p\u003e \u003cp\u003eFindings from our qualitative interviews demonstrated that participants found taking part in this research to be acceptable. Participants reported positive experiences of the study, including the recruitment and data collection methods used, and indicated that they would be willing to contribute to future research. Altruism was a common motivator for enrolling in this study, a finding reflected more widely for research participation in older people [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. A key factor in the successful engagement of participants in this project was the development of a meaningful partnership between the participant and the researcher based on trust and mutual respect. This finding mirrors previous work showing that genuine reciprocal relationships between patients and researchers are key to engaging older adults successfully in research [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. Participants felt valued by being listened to and appreciated the opportunity to engage with the researcher during the study visits. This highlights the importance of increased personal contact by researchers sensitive to the unique needs of older adults to support research participation [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e].\u003c/p\u003e \u003cp\u003ePrevious work has suggested that taking part in research can provide older adults with a break from everyday life and can be a way of alleviating frail older adults feelings of loneliness [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. However, there is considerable variation in how frail older people want, and can be involved in research [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e] and research teams should seek to provide various opportunities to reflect this. This could include patient and public involvement and engagement activities as well as enrolment into patient registries which can offer future research opportunities [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Many older people want to participate in research [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e], a desire reflected by our participants, who indicated that one of the reasons they agreed to take part in the study was simply because they were asked. This highlights a clear need to provide accessible opportunities for older adults living with MLTC, frailty and a recent deterioration in health to contribute to research.\u003c/p\u003e \u003cp\u003eThe success of the present study provides important learning for future research involving this group of older adults. We found that difficulties travelling to research appointments, and the associated costs, as well as health related problems (e.g., fear of falling, poor mobility, communication difficulties) and a reliance on support from informal carers would be substantial barriers to research participation. Strategies to overcome these barriers should be embedded into the design of future research. For example, home visits are convenient and comfortable and should be offered wherever practically possible. In this study we made a considerable effort to minimise the burden of research participation, by ensuring our approach was flexible and adaptive to individual needs (e.g., research visits completed at home organised around participants\u0026rsquo; daily routines). Minimising participant burden and ensuring a flexible and adaptive approach appear to be fundamental to the successful delivery of research in this population group [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e].\u003c/p\u003e\n\u003ch3\u003eStrengths and Limitations\u003c/h3\u003e\n\u003cp\u003eA major strength of this study is that the participants were recruited from an Older People\u0026rsquo;s Medicine Day Unit where research opportunities are usually limited, particularly for those with a recent deterioration in health. We have successfully managed to recruit and carry out research with a group who are underserved by research and are reflective of those who are seen in clinical practice. Our findings provide important learning that could support future work in this population group. Another strength of this work was that the qualitative interviews were conducted by a health psychologist (LD) with considerable experience in carrying out semi-structured interviews with older adults. However, it is acknowledged that our study sample, which were recruited from a single Day Unit, were predominantly female and of white British ethnicity.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eWe have shown that it is feasible to recruit and carry out research with older adults living with MLTC, frailty and a recent deterioration in health. We were able to successfully collect data health and lifestyle data from these participants and importantly our approaches to recruitment and data collection, including wearable devices, were acceptable. A personal and flexible approach should be incorporated into the design of future research involving older adults living with frailty, MLTC and a recent deterioration in health who remain underserved by research and represent an important group for inclusion in future research studies.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eCGA: Comprehensive Geriatric Assessment\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLiLL-OPM: Lifestyle in Later Life-Older People’s Medicine\u003c/p\u003e\n\u003cp\u003eMLTC: Multiple long-term conditions\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNHS: National Health Service\u003c/p\u003e\n\u003cp\u003eOPM: Older People’s Medicine\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePIS: Participant Information Sheet\u003c/p\u003e\n\u003cp\u003eRAPA: Rapid Assessment of Physical Activity\u003c/p\u003e\n\u003cp\u003eSARC-F: Strength, Assistance, Rise, Climb – Falls\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSNAQ: Simplified Nutritional Appetite Questionnaire\u003c/p\u003e\n\u003cp\u003eTA: Thematic analysis\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthics approval and consent to participate\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThis study was reviewed by the London \u0026ndash; Harrow Research Ethics Committee who granted a favourable ethical opinion on 19th January 2021 (20/LO/1243; IRAS project ID 284186). The study was given Health Research Authority approval on the 8th February 2021 and was conducted according to the Declaration of Helsinki. All participants provided written informed consent prior to taking part in the study.\u003c/p\u003e\n\u003cp\u003eConsent for publication\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003eAvailability of data and materials\u003c/p\u003e\n\u003cp\u003eThe datasets generated and analysed during the current study are not publicly available due to participant privacy and confidentiality. De-identified data is available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003eCompeting interests\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003eFunding\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe study received funding from the National Institute of Health and Care Research Newcastle Biomedical Research Centre (NU Ref 000197/PD Ref PDB 072) and underwent peer review. The funder had no role in the design of the study and collection, management, analysis, and interpretation of data, writing the manuscript and decision to submit the manuscript for publication. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.\u003c/p\u003e\n\u003cp\u003eAuthors\u0026rsquo; contributions\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAAS and SMR conceived the idea for the study. All authors contributed to the design and conception of the study. CH, LD \u0026amp; RMD collected the data. CH, LD, and SH analysed the data. CH, LD, and SR drafted the manuscript. All authors (except the late RMD) have assisted in the critical revision of the manuscript and have read and approved the final version of the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAcknowledgements\u003c/p\u003e\n\u003cp\u003eThe authors wish to thank all participants who agreed to take part in the study.\u0026nbsp;\u003cbr\u003e \u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eBarnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. The Lancet. 2012;380:37\u0026ndash;43.\u003c/li\u003e\n\u003cli\u003eClegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. The Lancet. 2013;381:752\u0026ndash;62.\u003c/li\u003e\n\u003cli\u003eVetrano DL, Palmer K, Marengoni A, Marzetti E, Lattanzio F, Roller-Wirnsberger R, et al. Frailty and Multimorbidity: A Systematic Review and Meta-analysis. The Journals of Gerontology: Series A. 2019;74:659\u0026ndash;66.\u003c/li\u003e\n\u003cli\u003eLujic S, Randall DA, Simpson JM, Falster MO, Jorm LR. Interaction effects of multimorbidity and frailty on adverse health outcomes in elderly hospitalised patients. Sci Rep. 2022;12:14139.\u003c/li\u003e\n\u003cli\u003eCassell A, Edwards D, Harshfield A, Rhodes K, Brimicombe J, Payne R, et al. The epidemiology of multimorbidity in primary care: a retrospective cohort study. Br J Gen Pract. 2018;68:e245\u0026ndash;51.\u003c/li\u003e\n\u003cli\u003eYarnall AJ, Sayer AA, Clegg A, Rockwood K, Parker S, Hindle JV. New horizons in multimorbidity in older adults. Age and Ageing. 2017;46:882\u0026ndash;8.\u003c/li\u003e\n\u003cli\u003eHurst C, Dismore L, Granic A, Tullo E, Noble JM, Hillman SJ, et al. Feasibility of engaging older adults living with multiple long-term conditions, frailty, and a recent deterioration in health in a study of lifestyle: protocol for the LiLL-OPM study. Journal of Frailty, Sarcopenia and Falls. 2023;8:127\u0026ndash;35.\u003c/li\u003e\n\u003cli\u003eDismore L, Hurst C, Granic A, Tullo E, Witham MD, Dodds RM, et al. Why are older adults living with the complexity of multiple long-term conditions, frailty and a recent deterioration in health under-served by research? A narrative synthesis review of the literature. Journal of Frailty, Sarcopenia and Falls. 2023;8:230\u0026ndash;9.\u003c/li\u003e\n\u003cli\u003eHarris R, Dyson E. Recruitment of frail older people to research: lessons learnt through experience. 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Physical activity and trajectories of frailty among older adults: Evidence from the English Longitudinal Study of Ageing. PLOS ONE. 2017;12:e0170878.\u003c/li\u003e\n\u003cli\u003eSzklarzewska S, Mottale R, Engelman E, De Breucker S, Preiser J-C. Nutritional rehabilitation after acute illness among older patients: A systematic review and meta-analysis. Clinical Nutrition. 2023;42:309\u0026ndash;36.\u003c/li\u003e\n\u003cli\u003eValenzuela PL, Morales JS, Castillo-Garc\u0026iacute;a A, Mayordomo-Cava J, Garc\u0026iacute;a-Hermoso A, Izquierdo M, et al. Effects of exercise interventions on the functional status of acutely hospitalised older adults: A systematic review and meta-analysis. Ageing Research Reviews. 2020;61:101076.\u003c/li\u003e\n\u003cli\u003eCovinsky KE, Palmer RM, Fortinsky RH, Counsell SR, Stewart AL, Kresevic D, et al. Loss of Independence in Activities of Daily Living in Older Adults Hospitalized with Medical Illnesses: Increased Vulnerability with Age. Journal of the American Geriatrics Society. 2003;51:451\u0026ndash;8.\u003c/li\u003e\n\u003cli\u003eHurst C, Dismore L, Granic A, Tullo E, Noble JM, Hillman SJ, et al. Attitudes and barriers to resistance exercise training for older adults living with multiple long-term conditions, frailty, and a recent deterioration in health: qualitative findings from the Lifestyle in Later Life \u0026ndash; Older People\u0026rsquo;s Medicine (LiLL-OPM) study. BMC Geriatr. 2023;23:772.\u003c/li\u003e\n\u003cli\u003eLubben J, Blozik E, Gillmann G, Iliffe S, von Renteln Kruse W, Beck JC, et al. Performance of an Abbreviated Version of the Lubben Social Network Scale Among Three European Community-Dwelling Older Adult Populations. The Gerontologist. 2006;46:503\u0026ndash;13.\u003c/li\u003e\n\u003cli\u003eShah S, Vanclay F, Cooper B. Improving the sensitivity of the Barthel Index for stroke rehabilitation. Journal of Clinical Epidemiology. 1989;42:703\u0026ndash;9.\u003c/li\u003e\n\u003cli\u003eRobinson SM, Jameson KA, Bloom I, Ntani G, Crozier SR, Syddall H, et al. Development of a short questionnaire to assess diet quality among older community-dwelling adults. J Nutr Health Aging. 2017;21:247\u0026ndash;53.\u003c/li\u003e\n\u003cli\u003eBeasley J, Sardina P, Johnston E, Ganguzza L, Padikkala J, Bagheri A, et al. Integrating a diet quality screener into a cardiology practice: assessment of nutrition counseling, cardiometabolic risk factors and patient/provider satisfaction. BMJ Nutr Prev Health. 2020;3:24\u0026ndash;30.\u003c/li\u003e\n\u003cli\u003eWilson M-MG, Thomas DR, Rubenstein LZ, Chibnall JT, Anderson S, Baxi A, et al. Appetite assessment: simple appetite questionnaire predicts weight loss in community-dwelling adults and nursing home residents. The American Journal of Clinical Nutrition. 2005;82:1074\u0026ndash;81.\u003c/li\u003e\n\u003cli\u003eTopolski TD, LoGerfo J, Patrick DL, Williams B, Walwick J, Patrick MMB. The Rapid Assessment of Physical Activity (RAPA) Among Older Adults. Prev Chronic Dis. 2006;3:A118.\u003c/li\u003e\n\u003cli\u003eBraun V, Clarke V. Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health. 2019;11:589\u0026ndash;97.\u003c/li\u003e\n\u003cli\u003eBraun, V, Clarke, V. Thematic analysis: A practical guide. London: SAGE; 2021.\u003c/li\u003e\n\u003cli\u003eGoodwin VA, Low MSA, Quinn TJ, Cockcroft EJ, Shepherd V, Evans PH, et al. Including older people in health and social care research: best practice recommendations based on the INCLUDE framework. Age and Ageing. 2023;52:afad082.\u003c/li\u003e\n\u003cli\u003eWitham MD, McMurdo MET. How to Get Older People Included in Clinical Studies. Drugs Aging. 2007;24:187\u0026ndash;96.\u003c/li\u003e\n\u003cli\u003eBartlam B, Crome P, Lally F, Beswick AD, Cherubini A, Clarfield AM, et al. The views of older people and carers on participation in clinical trials : the PREDICT Study. Clinical Investigation. 2012;2.\u003c/li\u003e\n\u003cli\u003eHurst C, Robinson SM, Witham MD, Dodds RM, Granic A, Buckland C, et al. Resistance exercise as a treatment for sarcopenia: prescription and delivery. Age and Ageing. 2022;51:afac003.\u003c/li\u003e\n\u003cli\u003eHurst C, Sayer AA. Improving muscle strength and physical function in older people living with sarcopenia and physical frailty: Not all exercise is created equal. Journal of the Royal College of Physicians of Edinburgh. 2022;:147827152211048.\u003c/li\u003e\n\u003cli\u003eGranic A, Sayer A, Robinson S. Dietary Patterns, Skeletal Muscle Health, and Sarcopenia in Older Adults. Nutrients. 2019;11:745.\u003c/li\u003e\n\u003cli\u003eKanach FA, Pastva AM, Hall KS, Pavon JM, Morey MC. Effects of Structured Exercise Interventions for Older Adults Hospitalized With Acute Medical Illness: A Systematic Review. Journal of Aging and Physical Activity. 26:284\u0026ndash;303.\u003c/li\u003e\n\u003cli\u003eFalck RS, McDonald SM, Beets MW, Brazendale K, Liu-Ambrose T. Measurement of physical activity in older adult interventions: a systematic review. Br J Sports Med. 2016;50:464\u0026ndash;70.\u003c/li\u003e\n\u003cli\u003eLim SER, Dodds R, Bacon D, Sayer AA, Roberts HC. Physical activity among hospitalised older people: insights from upper and lower limb accelerometry. Aging Clin Exp Res. 2018;30:1363\u0026ndash;9.\u003c/li\u003e\n\u003cli\u003eBielemann RM, Oliveira R, Bertoldi AD, Tomasi E, Demarco FF, Gonzalez MC, et al. Objective and self-reported physical activity and risk of falling among community-dwelling older adults from Southern Brazil. J Aging Phys Act. 2022;30:972\u0026ndash;9.\u003c/li\u003e\n\u003cli\u003eBaczynska AM, Shaw SC, Patel HP, Sayer AA, Roberts HC. Learning from older peoples\u0026rsquo; reasons for participating in demanding, intensive epidemiological studies: a qualitative study. BMC Medical Research Methodology. 2017;17:167.\u003c/li\u003e\n\u003cli\u003eMarkle-Reid M, Ganann R, Ploeg J, Heald-Taylor G, Kennedy L, McAiney C, et al. Engagement of older adults with multimorbidity as patient research partners: Lessons from a patient-oriented research program. Journal of Multimorbidity and Comorbidity. 2021;11:2633556521999508.\u003c/li\u003e\n\u003cli\u003eDibartolo MC, McCrone S. Recruitment of rural community-dwelling older adults: Barriers, challenges, and strategies. Aging \u0026amp; Mental Health. 2003;7:75\u0026ndash;82.\u003c/li\u003e\n\u003cli\u003eBerge I, Barenfeld E, Dahlin-Ivanoff S, Haak M, Lood Q. Challenging oneself on the threshold to the world of research \u0026ndash; frail older people\u0026rsquo;s experiences of involvement in research. BMC Geriatrics. 2020;20:410.\u003c/li\u003e\n\u003cli\u003eWitham MD, Heslop P, Dodds RM, Clegg AP, Hope SV, McDonald C, et al. Developing a UK sarcopenia registry: recruitment and baseline characteristics of the SarcNet pilot. Age and Ageing. 2021;50:1762\u0026ndash;9.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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-geriatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bgtc","sideBox":"Learn more about [BMC Geriatrics](http://bmcgeriatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bgtc/default.aspx","title":"BMC Geriatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Multimorbidity, frailty, feasibility, lifestyle, diet, physical activity ","lastPublishedDoi":"10.21203/rs.3.rs-4004667/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4004667/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cb\u003eBackground\u003c/b\u003e\u003c/p\u003e \u003cp\u003eOlder adults living with multiple long-term conditions (MLTC, also known as multimorbidity) and frailty are more likely to experience a deterioration in their health requiring specialist referral or hospital admission than individuals without these syndromes. However, this group of older people are underserved by research meaning that there is a limited evidence base for their care. This study therefore aimed 1) to determine if it is feasible to recruit and collect quantitative data to describe the health and lifestyle of older adults living with MLTC, frailty and a recent deterioration in health and 2) to assess if taking part in research is acceptable to this group of older adults.\u003c/p\u003e\u003cp\u003e\u003cb\u003eMethods\u003c/b\u003e\u003c/p\u003e \u003cp\u003eParticipants were approached and recruited for this study via an Older People\u0026rsquo;s Medicine Day Unit in Newcastle upon Tyne, UK. The study took a mixed methods approach, involving quantitative and qualitative data collection. To determine the feasibility of carrying out research in this group, we quantified recruitment rate and collected data on the health and lifestyle, including diet and physical activity, of the participants. Qualitative semi-structured interviews were undertaken to assess acceptability. Two separate interviews were carried out focusing on involving older adults in research and the participants\u0026rsquo; experiences of taking part in the research. Interviews were analysed using thematic analysis.\u003c/p\u003e\u003cp\u003e\u003cb\u003eResults\u003c/b\u003e\u003c/p\u003e \u003cp\u003eFifty patients were approached to participate in the study with twenty-nine (58%) successfully recruited. It was feasible to collect information to describe the health and lifestyle of these older adults who demonstrated very low levels of physical activity. Participants reported that taking part in the research was acceptable to them with interview analysis generating three themes 1) developing a meaningful partnership, 2) enabling factors to participation: research at home with flexible delivery and 3) social and psychological benefits of research participation.\u003c/p\u003e\u003cp\u003e\u003cb\u003eConclusions\u003c/b\u003e\u003c/p\u003e \u003cp\u003eIt is feasible and acceptable to recruit and carry out research with this underserved group of older adults. Participants found taking part in this research to be acceptable and reported overall positive experiences of their involvement in the study and indicated that they would be willing to contribute to further research in the future.\u003c/p\u003e","manuscriptTitle":"The feasibility and acceptability of engaging older adults living with multiple long-term conditions, frailty, and a recent deterioration in health in research: findings from the Lifestyle in Later Life – Older People’s Medicine (LiLL-OPM) study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-05 16:08:59","doi":"10.21203/rs.3.rs-4004667/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-09-03T06:08:58+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-06-04T03:47:17+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"255299687345061310228121250239992368303","date":"2024-05-20T03:27:13+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-05-07T08:39:53+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"abab4b5d-943d-47a1-8c4b-71924e5d30a1","date":"2024-04-24T07:16:18+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-04-24T00:34:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-04-24T00:28:11+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-04-03T15:42:24+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-04-03T15:37:04+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Geriatrics","date":"2024-03-01T21:58:17+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-geriatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bgtc","sideBox":"Learn more about [BMC Geriatrics](http://bmcgeriatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bgtc/default.aspx","title":"BMC Geriatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"3247274e-0fe9-4774-9c06-da21100b3bfc","owner":[],"postedDate":"April 5th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-10-21T16:05:25+00:00","versionOfRecord":{"articleIdentity":"rs-4004667","link":"https://doi.org/10.1186/s12877-024-05406-2","journal":{"identity":"bmc-geriatrics","isVorOnly":false,"title":"BMC Geriatrics"},"publishedOn":"2024-10-14 15:58:11","publishedOnDateReadable":"October 14th, 2024"},"versionCreatedAt":"2024-04-05 16:08:59","video":"","vorDoi":"10.1186/s12877-024-05406-2","vorDoiUrl":"https://doi.org/10.1186/s12877-024-05406-2","workflowStages":[]},"version":"v1","identity":"rs-4004667","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4004667","identity":"rs-4004667","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}