Challenges and facilitators in pathways to cancer diagnosis in Southern Africa: A qualitative study

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Objectives To explore healthcare workers (HCW) experiences, barriers and facilitators in managing patients with symptoms of possible breast, cervical or colorectal cancer. Design A qualitative in-depth interview study with HCWs managing patients with breast, cervical and colorectal cancer symptoms. We also conducted workshops with a group of HCWs to check the credibility of the interview findings. Setting The study was conducted with staff working in primary, secondary and tertiary health facilities in the Eastern and Western Cape in South Africa (SA) and Harare and Bulawayo and their referral provinces in Zimbabwe. Participants HCWs with experience in managing patients with symptoms of possible breast, cervical or colorectal cancer were recruited for the study. Participants were purposively sampled, according to region, healthcare level, and job role. A total of 56 participants (26 in SA and 30 in Zimbabwe) participated in the in-depth interviews. Twenty-six (12 in SA and 14 in Zimbabwe) participated in four clinical advisory group workshops across both countries. Results Drawing on the Model of Pathways to Treatment, HCW perceptions of patient-level factors influencing the diagnostic interval included financial limitations, and patients’ absence and delays in attendance. Healthcare provider and system factors included: challenges with referral and feedback systems; training needs; low awareness of protocols and guidelines; inappropriate and suboptimal clinical assessments; and broader socio-economic factors and resource limitations. Conclusion Improving the timely diagnosis of breast, cervical, and colorectal cancer in Southern Africa necessitates targeted strategies that address both patient-related, provider and health-system delays. Strengths and Limitations To our knowledge, this is the first study in SA and Zimbabwe that explores healthcare workers across all levels of care perceptions of the challenges and facilitators in the pathways to breast, cervical and colorectal cancer diagnosis. The qualitative nature of the inquiry and strong theoretical underpinning with the Model of Pathways to Treatment enabled in-depth exploration of the research question. The study setting included both urban and rural settings that represent differences in access to cancer care and health systems. We note that the discussion of patient level facilitators and barriers to early diagnosis are the perceptions of HCWs and not the views of the patients themselves. By examining cancer care in two distinct countries, the study provides valuable insights into how different levels of human development index impact healthcare systems and identify unique challenges and best practices. A comparative analysis reveals important differences in health outcomes and resource allocation, which can inform targeted interventions.
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Day , KD. Arendse , SE. Scott , M. Moyo , S. Mzeche , BT. Guzha , N. Tegama , VA. Sills , T. Ras , FM. Walter , J. Moodley doi: https://doi.org/10.1101/2025.01.14.25320521 S. Day 1 Cancer Research Initiative, Faculty of Health Sciences, University of Cape Town , South Africa Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: sarah.day{at}uct.ac.za KD. Arendse 2 The Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London , London, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site SE. Scott 2 The Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London , London, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site M. Moyo 3 Faculty of Medicine & Health Sciences, University of Zimbabwe Find this author on Google Scholar Find this author on PubMed Search for this author on this site S. Mzeche 3 Faculty of Medicine & Health Sciences, University of Zimbabwe Find this author on Google Scholar Find this author on PubMed Search for this author on this site BT. Guzha 3 Faculty of Medicine & Health Sciences, University of Zimbabwe Find this author on Google Scholar Find this author on PubMed Search for this author on this site N. Tegama 2 The Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London , London, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site VA. Sills 2 The Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London , London, United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site T. Ras 4 Department of Family, Community and Emergency Care, Faculty of Health Sciences, University of Cape Town , South Africa Find this author on Google Scholar Find this author on PubMed Search for this author on this site FM. Walter 2 The Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London , London, United Kingdom 5 The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge , United Kingdom Find this author on Google Scholar Find this author on PubMed Search for this author on this site J. Moodley 1 Cancer Research Initiative, Faculty of Health Sciences, University of Cape Town , South Africa 6 School of Public Health, University of Cape Town , Cape Town, South Africa Find this author on Google Scholar Find this author on PubMed Search for this author on this site Abstract Full Text Info/History Metrics Supplementary material Data/Code Preview PDF Abstract Objectives To explore healthcare workers (HCW) experiences, barriers and facilitators in managing patients with symptoms of possible breast, cervical or colorectal cancer. Design A qualitative in-depth interview study with HCWs managing patients with breast, cervical and colorectal cancer symptoms. We also conducted workshops with a group of HCWs to check the credibility of the interview findings. Setting The study was conducted with staff working in primary, secondary and tertiary health facilities in the Eastern and Western Cape in South Africa (SA) and Harare and Bulawayo and their referral provinces in Zimbabwe. Participants HCWs with experience in managing patients with symptoms of possible breast, cervical or colorectal cancer were recruited for the study. Participants were purposively sampled, according to region, healthcare level, and job role. A total of 56 participants (26 in SA and 30 in Zimbabwe) participated in the in-depth interviews. Twenty-six (12 in SA and 14 in Zimbabwe) participated in four clinical advisory group workshops across both countries. Results Drawing on the Model of Pathways to Treatment, HCW perceptions of patient-level factors influencing the diagnostic interval included financial limitations, and patients’ absence and delays in attendance. Healthcare provider and system factors included: challenges with referral and feedback systems; training needs; low awareness of protocols and guidelines; inappropriate and suboptimal clinical assessments; and broader socio-economic factors and resource limitations. Conclusion Improving the timely diagnosis of breast, cervical, and colorectal cancer in Southern Africa necessitates targeted strategies that address both patient-related, provider and health-system delays. Strengths and Limitations To our knowledge, this is the first study in SA and Zimbabwe that explores healthcare workers across all levels of care perceptions of the challenges and facilitators in the pathways to breast, cervical and colorectal cancer diagnosis. The qualitative nature of the inquiry and strong theoretical underpinning with the Model of Pathways to Treatment enabled in-depth exploration of the research question. The study setting included both urban and rural settings that represent differences in access to cancer care and health systems. We note that the discussion of patient level facilitators and barriers to early diagnosis are the perceptions of HCWs and not the views of the patients themselves. By examining cancer care in two distinct countries, the study provides valuable insights into how different levels of human development index impact healthcare systems and identify unique challenges and best practices. A comparative analysis reveals important differences in health outcomes and resource allocation, which can inform targeted interventions. Introduction Globally, cancer is a leading cause of death accounting for nearly 10 million deaths in 2022, with a predicted increase to 18.5 million cancer-related deaths per year by 2050, of which 73% will occur in Low- and middle-income countries (LMICs). 1 The incidence of cancer is predicted to rise from 20 million in 2022 to 35.3 million per year by 2050. 1 , 2 LMICs face a disproportionate burden of cancer-related morbidity and mortality. 3 Increasing cancer incidence and poorer prognosis in LMICs can be attributed to ageing societies, health disparities, limited access to quality healthcare, and high prevalence of risk factors. 3 High proportions of patients in LMICs are diagnosed with advanced-stage cancer 4 – 6 due to delayed presentation, poor referral pathways and limited diagnostic capacity. 7 , 8 Global disparities in cancer mortality and survival rates are marked by differences in clinical stages at diagnosis. 9 The World Health Organisation (WHO) 10 Report on Cancer: ‘Setting priorities, investing wisely and providing care for all’ recommends prioritising early diagnosis programmes, including screening and timely diagnosis of symptomatic people, with access to quality treatment in the absence of universal, equitable screening programmes. Considering the burden of breast, cervical and colorectal cancer in Southern Africa, 11 strategies and interventions are needed to ensure timely diagnosis. Improving earlier diagnosis of cancer in Southern Africa requires understanding pathways from symptom recognition to diagnosis 6 , 12 where both patient-related and health system-related delays are common. 6 , 13 The WHO 2020 Report on cancer identifies key events across the cancer continuum and conceptualises them as three phases: from symptom awareness (phase 1) to diagnosis (phase 2) and treatment (phase 3). 14 The Model of Pathways to Treatment 15 also identifies the interval phases and underpinning patient-, disease-, health system- and provider-related factors that contribute to time to diagnosis and treatment. 4 , 6 , 13 , 15 – 17 The focus of this study is the ‘Diagnostic Interval’, defined in the Model of Pathways to Treatment as the time between the first encounter with a healthcare worker (HCW) and the formal diagnosis being made. Improving efficiency in the diagnostic interval has the potential to increase early detection, 18 , 19 and facilitate downstaging. 20 The Diagnostic interval is complex and involves initial clinical assessment, usually by primary-level HCWs, and subsequent investigations in order to triage and make a judgement about the diagnosis. The diagnostic process requires available diagnostic resources and staff alongside effective referral and feedback mechanisms between primary, secondary and tertiary facilities. 21 – 23 There has been relatively little exploration of the Diagnostic interval for cancer diagnosis in Southern Africa, although exploratory work has suggested that context-relevant training for primary-level HCWs, improved referral pathways and additional human resources may be required to reduce the Diagnostic interval. 12 , 13 , 24 , 25 Moodley et al. 26 have demonstrated that primary-level HCW clinical assessment of breast and cervical cancer in South Africa (SA) is influenced by competing health priorities, such as HIV, infectious diseases, violence and injury, and maternal and child health, and other non-communicable diseases. Patients with breast and cervical symptoms may return to the clinic several times before being referred due to cancer symptoms being mistaken for other common health concerns. A systematic review on routes to diagnosis of symptomatic cancer in Southern Africa reported no studies on breast, cervical or colorectal cancer in SA or Zimbabwe. 27 This study therefore aimed to explore primary, secondary and tertiary level HCWs experiences, barriers and facilitators in managing patients with symptoms of possible breast, cervical or colorectal cancer in two Southern African countries with varying health system challenges: SA (in the medium human development index (HDI) category (0.709)) 28 and Zimbabwe (in the low HDI category (0.550)). 29 Methods Design A qualitative in-depth interview study with HCWs managing patients with breast, cervical and colorectal cancer symptoms was undertaken. We also conducted workshops with a different group of HCWs to check the credibility of the findings from the interview findings by providing a second source of input and comparison for the interview findings. The project was part of the African aWAreness of CANcer & Early Diagnosis programme (AWACAN-ED) (awacan.online) 30 , aiming to advance cancer awareness and early diagnosis in Southern Africa through understanding the context of early cancer diagnosis in the region and developing culturally appropriate toolkits to improve timeliness of cancer diagnosis, with a specific focus on breast, cervical and colorectal cancers. Study setting The study was conducted with HCWs working in public health facilities in the Eastern and Western Cape in SA and Harare and Bulawayo and their referral provinces in Zimbabwe. In the health sector in both countries, private and public healthcare systems run in parallel. The private sector – which services a smaller proportion of the population – is funded through individual contributions to medical aid schemes or out of pocket payments for those who do not have medical aid. 31 The high costs of private healthcare and medical aid contributions places private healthcare out of the reach of much of the population. 32 The public healthcare sector is made up of three tiers: primary, secondary and tertiary. Guidelines state that primary healthcare (PHC) clinics and community health centres should be patients’ first point of contact for most healthcare requirements and are the main mechanism through which health programmes are delivered. However, some people enter directly into secondary or tertiary facilities or have an emergency admission. In some cases, private general practitioners (GPs) may be the first point of contact for the health system for those who have personal financial means or medical aid/insurance. There is a hierarchy of hospital levels offering specialist and sub-specialist services, which make up secondary and tertiary facilities. Depending on the health facility resources, such as colposcopy, colonoscopy, imaging facilities, and the availability of specialist surgeons, patients will either be diagnosed and treated at the secondary facility, or they will be referred to a tertiary facility for diagnostic investigations and treatment. 33 , 34 In SA, PHC facilities are free to the public, while secondary and tertiary facilities use a Uniform Patient Fee Schedule – a means test – which sets out who should pay and how much they should pay to access healthcare. 35 In Zimbabwe, patients pay fees at each healthcare level for consultations, medications, and procedures. 36 – 38 In some rural areas in Zimbabwe, PHC facilities are free and some patients are exempt from fees, such as children under 5, people older than 65, people diagnosed with psychiatric disorders, people with disabilities, and pregnant women. In SA, the policy for breast cancer screening involves opportunistic clinical examinations for all women when they present to primary care facilities for other health needs. 39 Guidelines recommend that symptomatic patients receive immediate referrals to specialised breast units, not waiting more than 62 days for low-risk patients, and 21 days for high or medium suspicion patients for appointments. 39 For cervical cancer, the policy recommends that symptomatic individuals should be referred immediately, although specific timelines are not established. 40 Colorectal cancer lacks defined referral guidelines, but symptomatic patients should be promptly referred according to national cancer guidelines. 41 In Zimbabwe, there are no specific management protocols for symptomatic patients. 42 Cervical cancer guidelines recommend that patient with symptoms must be referred immediately, but the policy does not provide clear timelines. 43 Like SA, colorectal cancer lacks established referral guidelines. Sample Potential participants were eligible for inclusion if they were staff with experience of working with patients who presented with symptoms of possible breast, cervical or colorectal cancer. We used a matrix to purposively sample participants across the four regions, according to the level of their region, healthcare level, and job role. Procedure Facility operation managers (primary care) or heads of department (secondary or tertiary) facilitated identification of potential participants for the in-depth interviews. Participants would sometimes recommend other potential participants. Those who expressed interest after receiving a study information sheet were asked to provide written consent prior to interviews. The interviews were conducted by experienced qualitative researchers. Most interviews took place in a private setting at the health facility while two took place virtually, and all lasted between 30 and 90 minutes. Interviews were conducted in English or local languages (isiXhosa in SA, and Ndebele or Shona in Zimbabwe), based on participant preferences. In one interview, there were three additional HCWs present in addition to the main interviewee; questions were directed to and answered by the main interviewee, while the additional HCWs added details for context and clarity. Interviews conducted in a language other than English were translated prior to transcription. Interviews were audio-recorded and transcribed verbatim using a professional transcription company. At the start of each interview, socio-demographic details (age, job role, gender, education level and years of experience) were collected. A semi-structured approach was used following a topic guide which aimed to explore (i) barriers and facilitators in the pathways to timely cancer diagnosis and (ii) participants’ experiences and perceptions of the barriers and facilitators to digital technology use to support early cancer diagnosis in their daily practice (See the interview guide: supplementary file 1). This study focuses on the analysis of part (i) of the interview. Part (ii) is reported separately. 44 Development of the first part of the interview schedule was guided by the Model of Pathways to Treatment 15 and explored information related to current practices and HCWs experience of factors that influenced timely diagnosis of cancer. The interview guide included information specific to current practice and decision making such as how participants currently go about executing their roles and making decisions on next steps for symptomatic patients who present at facilities including information on perceived barriers and facilitators to timely cancer diagnosis. Four workshops (two in each country) were conducted with clinical advisory groups to present interim findings and inform the development of interventions to promote timely diagnosis of cancer. These clinical advisory groups were made up of PHC practitioners and breast, cervical and colorectal cancer specialists at secondary and tertiary facilities. The workshops were structured around two parts. In the first part, we presented the preliminary results an ongoing AWACAN-ED cross-sectional, health facility assessment and the in-depth interviews. After, a facilitator led a discussion focused on the following areas: (i) key challenges for each type of cancer at the primary, secondary, and tertiary healthcare levels; (ii) current best practices for managing each cancer across these healthcare levels; and (iii) the characteristics of an ideal referral tool. This paper drew on information about key challenges and current best practices. Each workshop was audio recorded and transcribed. Notes were also taken in each workshop. Data Analysis Codebook Thematic analysis was used to synthesise the interview data, starting with data familiarisation and coding. 45 Coding is an iterative process whereby researchers seek to identify “a word or short phrase that captures and signals what is going on in a piece of data in a way that links it to some more general analysis issue”. 46 The data had three coders. SD read and coded all the transcripts, and KDA and MM each coded 24 transcripts. Codes were collaboratively developed through an iterative process. After familiarisation with the data, we created a codebook describing each code with an example extrapolated from the data. We had code comparison discussions amongst coders, and disagreements and refinements on codes were resolved through discussion. After this process, themes were developed. Themes were used to attach significance to our findings, offer explanations, and draw conclusions. Through discussion, SD sense checked the analysis write-up with co-authors in Zimbabwe (SM, MM and BG) and co-authors with medical training (KDA, JM, TR, FW). The transcripts and notes of the clinical advisory workshops were analysed thematically by VS to categorise the content of the discussions. This was then compared to the interview findings. Quotes in text are all from the interviews. Ethics The study protocol received ethical approval from (i) The University of Cape Town, Faculty of Health Sciences Human Research Ethics Committee (HREC Ref: 664/2021 and HREC 892/2023), (ii) The Joint Research Ethics Committee (JREC) at The University of Zimbabwe (JREC Ref: 363/2021) and (iii) the Medical Research Council Zimbabwe (HREC Ref: MRCZ/A/2831). Results For the in-depth interviews, 26 participants in SA and 30 participants in Zimbabwe were recruited, a total of 56 participants across both countries (see Table 1 ). In-depth interviews were conducted between July and November 2023. Less than half of the participants worked in primary care (n=24, 43%) and the remaining in secondary or tertiary care (n=32, 57%). View this table: View inline View popup Download powerpoint Table 1: Interview participant distribution across health facilities The participants’ median age was 44 years old (inter-quartile range: 34 - 53 years). Most of the participants identified as female (38/56). Median years in the role was 6 years (inter-quartile range: 2 – 15 years). Thirty-six (64%) participants’ highest education degree was an undergraduate degree or diploma, 16 (29%) had a postgraduate degree, 3 (5%) had Matric / O Levels and 1 (2%) had a certificate. Thirty-four (61%) nurses (20 primary/14 secondary & tertiary), 15 (27%) doctors (2 Primary/13 secondary & tertiary), 3 (5%) medical managers, 1 (2%) health information office, 1 (2%) clinical assistant, 1 (2%) data clerk and 1 (2%) receptionist were interviewed. Twenty-three (41%) participants managed patients with breast, cervical, and colorectal symptoms; 12 participants (21%) managed patients with breast and cervical cancer symptoms; 7 (13%) managed patients with cervical cancer symptoms; 6 (11%) participants managed patients with breast cancer symptoms; 5 (9%) managed colorectal cancer symptoms, and 3 (%) managed breast and colorectal cancer symptoms. A total of 26 participants (12 in SA and 14 in Zimbabwe) ( Table 2 ) participated in the clinical advisory workshops across both countries (see supplementary file 2 for more details). View this table: View inline View popup Download powerpoint Table 2: Clinical workshop overview Overview of findings HCWs perceptions of patient-level factors influencing the diagnostic interval included (1) financial limitations impact on pathways to diagnosis, and (2) patients’ refusal, absence and delays in attendance. Healthcare provider and system factors included: (1) poor referral and feedback systems; (2) training needs; (3) awareness of protocols and guidelines; (4) inappropriate and suboptimal clinical assessments; and (5) broader socio-economic factors and resource limitations. Workshop findings are integrated into these themes and more details can be found in supplementary file 2. Quotes in the text are all from the in-depth interviews. The coders proposed quotes for inclusion, and the team reached a consensus to select those that best captured the themes’ meaning. Whenever possible, quotes were chosen from a diverse range of participants, representing different regions, healthcare levels, and job roles, to highlight both commonalities and contrasts among participants. HCWs perceptions of patient-level factors that impact the Diagnostic interval Financial limitations impact on pathways to diagnosis HCWs in both SA and Zimbabwe reported that patients’ resources impacted the journey to diagnosis. Particularly in Zimbabwe, HCWs in the in-depth interviews and clinical advisory workshops reported that patients lacked the necessary funds for initial and follow-up healthcare visits, diagnostic tests, and investigations for staging. Financial constraints may cause delays in investigations or bar patients from accessing health services altogether. In the SA clinical advisory workshops, HCWs reported that some patients may enter the healthcare system by visiting a private GP and then access public healthcare due to lack of funds to stay in the private sector. “… some of them they can come to us but not having money for the lab investigations. So, it’s very difficult for the doctors to go ahead and do the necessary things for these patients. Some of them they lack funds to do the biopsy and some of them they don’t have funds for even simple lab investigations.” Nurse, Tertiary, Harare “The problem is the onus is on the patient or the client. We will refer the clients to the hospital for investigations to be done there. So, it’s upon the patient on when they will go there. Some will tell you, “We don’t have money”, and they will not be having that money to go to the hospital. Maybe when they get there, money is also needed to run those samples.” Nurse, Primary, Bulawayo In SA and Zimbabwe, HCWs reported in both in-depth interviews and the clinical advisory workshops that patients often lacked finance for transport to health facilities especially in rural areas which can delay further investigations and diagnosis. “The problem is the issue of money for the patients to move from the health facility to the hospital. They have some challenges of money, even for bills to pay there they don’t have. So, they fear even to move from their homes to the district hospital saying, “We don’t have money to pay. We don’t have money for transport”.” Nurse, Primary, Harare “And sometimes you send the client to the hospital, and they don’t go to the hospital, because they don’t have money to get there.” Nurse, Primary, Eastern Cape Patients’ refusal, absence and delays in attendance HCWs in both in-depth interviews and the clinical advisory workshops reported patient-level refusal of care and missed appointments were barriers to early diagnosis. Particularly with cervical and colorectal cancer, HCWs in both in-depth interviews and the clinical advisory workshops reported that patients sometimes decline examination and further testing, such as colonoscopies, because of fears of discomfort and pain, and invasive testing. HCWs felt broader societal (mis)understandings of what happens during these tests serves to exaggerate and misinform, resulting in reluctance to seek care. The HCWs in the clinical advisory workshops further elaborated and stated that there is insufficient patient trust in HCWs and the healthcare system which results in refusal of diagnostic investigations. This demonstrates a need for broader health education around investigations for cancer symptoms. “There’s this whole conception of how unpleasant a colonoscopy is. And each person likes to exaggerate it more than the next person, and things like that. So, people delay having colonoscopies. They don’t want it because of the unpleasantness.” Nurse, Tertiary, Western Cape HCWs reported that patients move between provinces (SA) and countries (Zimbabwe) which results in missed appointments and subsequent referral, investigation and diagnostic delays. Patients missing appointments is therefore embedded in a broader sociopolitical landscape and economic climate – a history of segregation, land dispossession, and a migrant labour system – that results in transient populations moving between provinces in South Africa or from Zimbabwe to South Africa. “[The] Migrant labour system [makes it difficult for patients to arrive on a dedicated day]. Because you will think you have your patient, the patient is in Cape Town. Job opportunities. There’s a season for harvesting grapes in Cape Town and all that. And then there will be that. They won’t come on their appointment dates.” Nurse, Primary, Eastern Cape “And also, the commitment must also come from the patient side, because, sometimes, they have that appointment, they know exactly when they’re supposed to go to Somerset, then they end up in Eastern Cape. And then they say, no, I was in Eastern Cape. Now, it is also your problem to make another appointment.” Nurse, Primary, Western Cape HCWs in both in-depth interviews and clinical advisory workshops reported that patients were difficult to follow-up after missed appointments due to giving incorrect phone numbers, changing phone numbers, not answering phone calls or reading text messages, losing cell phones or providing incorrect addresses. “It is when the phone does not work, or the contact number does not go through because they sometimes give us numbers that are not working, and they go straight to voicemail. And then now you must look for a community worker for that place so now it becomes a long process.” Nurse, Primary, Western Cape “You will find someone has no address, has no contact details. So, if that client is due for LEEP [Loop electrosurgical excision procedure], maybe we will manage to source funds from the donor that we can do a camp. We try to follow those clients. It’s difficult to follow them because someone has no contact details.” Nurse, Primary, Harare In SA, community healthcare workers (CHWs), members of the community that serve and respond to health needs of the community 47 , assist PHC practitioners to follow-up with patients who are not contactable, which forms an important safety netting mechanism by facilitating better pathways to diagnosis by following up with patients who have abnormal Pap smear results and have missed appointments. However, tracing patients can take a long time, resulting in referral delays. Tertiary level HCWs reported that they were not aware of CHWs being used at PHC to trace patients who have missed appointments. A doctor in the Western Cape, SA reported that they have previously used the police to trace patients with biopsy results that indicate a cancer diagnosis. “What works is the fact that while you’re doing this examination you take their contact details and ask where they live so that you are able to trace the person in case their phone is off, and you call community worker of that area…they sometimes give us numbers that are not working and they go straight to voicemail. And then now you must look for a community worker for that place so now it becomes a long process.” Nurse, Primary, Eastern Cape “If we don’t get hold of the clients… It tells you to send CHWs… They bring the client to us.” Nurse, Primary, Eastern Cape “A few weeks ago, we went to visit [area] to find out what services they offer. …So, what we have been doing, for example, for patients where we worry that there’s a cancer, we’ve taken a biopsy. We used to phone, phone, phone, we can’t get hold of the patient. We phone the police … I would never have bothered to send police because it’s quite scary to send police to a patient’s home when they are community workers whose main job, and I imagine the more patients that they are able to track, then they get the salary.” Doctor, Western Cape, Tertiary In both countries (but particularly notable for Zimbabwe and the Eastern Cape, SA), HCWs in both the in-depth interviews and clinical advisory workshops perceived that patients’ preferences for traditional healers could result in delays in attending referral appointments. Particularly pertinent for Zimbabwe, HCWs reported that some patients believe that cancer has a spiritual cause and therefore needs traditional intervention. “Timely referral is when someone has a problem and comes to you immediately. People try elsewhere. We are Africans and we would try what our ancestors or what great and whatever used to do, and we dabble that thereby reducing our chances of treating early.” Nurse, Tertiary, Bulawayo “Some believe in going to traditional healers, some believe in the apostles. Most of them after they go they will realise that ah, like when it comes to cancer, I give examples that with cancer […], they would take a long time while they were bleeding and they would say that it will end, and they will be going for prayers.” Nurse, Primary, Harare Healthcare provider and system factors Poor referral and feedback systems PHC practitioners from both countries in the interviews and clinical advisory workshops reported challenges related to the processes for referral to secondary and tertiary facilities, including not being able to contact the referral department timeously to provide patients with a date for their appointment while they are with them at PHC. As a result, HCWs need to contact patients again, which is complicated by patients not being contactable by phone or updating their address. This means that referral is delayed, and some patients are lost to follow-up. Additionally, PHC practitioners in the clinical advisory groups in SA reported that referral processes within facilities differ according to staff role, with some staff members not able to access computers to do referrals. “In order to refer to the SOPD [Surgical outpatient department], we have to send them an email. And often, we’re waiting weeks for an email reply. Then they reply to us, and then they say, here’s the date for the patient, please inform the patient. Now this is weeks later, and then you try and phone the patient on the number that they’ve given.” Doctor, Primary, Western Cape PHC practitioners state that they do not receive feedback about referred patients, so they remain unsure if the referral was appropriate, what the patient’s diagnosis was or what continuous care is needed at a PHC level. Additionally, in the clinical advisory workshops, PHC practitioners reported a general lack of awareness of referral pathways and services available at each facility. One participant in the Eastern Cape, SA reported refusing to do the repeat Pap smear on a patient who had been sent back from secondary to primary without clear reason. In both the in-depth interviews and the clinical advisory workshops, HCWs perceived that more communication and feedback to PHC level would improve referral, strengthen PHC practitioner’s knowledge of cancer symptoms and inform PHC practitioners whether their referral was appropriate. “…when we get feedback, then maybe we know that when we referred this patient, did they get the help that they needed? What was done for the patient and how long did it take? Did the patient achieve anything from that referral?” Nurse, Primary, Bulawayo “…sometimes you’ll receive results that say refer for colposcopy and then they would send the person back and say they must do examination again. And I would ask myself why they would refer for colposcopy in the first place only to be sent back to the clinic.” Nurse, Primary, Eastern Cape One notable exception that was mentioned in both in-depth interviews and the clinical advisory workshops related to referral systems that used an online referral platform called JotForm to book appointments immediately and has an inbuilt healthcare practitioner education component. This is related specifically to breast cancer in the Western Cape, SA. Better communication is also facilitated by the network of primary, secondary and private GPs that was set-up by the clinical team in that department. Through this platform, PHC HWCs are able to immediately book secondary care appointments and provide dates during consultations, which reduces loss to follow-up and referral delay. Additionally, referring HCWs are provided with real-time feedback on their referral by selecting patient symptoms in-app and getting immediate information on whether the referral is appropriate. Further details on HCWs’ experience of using these digital health tools are discussed in Arendse et al . 44 “And if we do feel anything suspicious, we then refer online to [Tertiary Hospital]. And they then give us… We can choose an appointment date and time. They’re quite flexible, and they are very accommodating with their dates because you can go for the next day if they have availability.” Nurse, Primary, Western Cape Training needs HCWs in both in-depth interviews and clinical advisory workshops reported that they had training needs related to symptom appraisal and management of cancer symptoms, and risk factors – particularly for colorectal cancer. The HCWs in the clinical advisory group noted that it was not enough to only know what symptoms of cancer, but also know what to do next. Due to a focus on HIV at a PHC level in both countries, PHC practitioners perceived that they generally had better knowledge of cervical cancer symptoms and risk factors yet HCWs at a tertiary level in the Eastern Cape reported that newly trained nurses and medical officers do not receive sufficient practical training to do pelvic examinations, Pap smears and punch biopsies. “…there are learning gaps as some of our nurses are not trained [in managing patients with possible breast, cervical or colorectal cancer symptoms].” Nurse Manager, Primary, Bulawayo “Yes, there is definitely gross lack of training. Gross lack of training from the training institutions that train. That do the training. For instance, this thing for the nurses, many nurses come out of nursing school without knowing how to actually examine the pelvis, let alone take a Pap smear. And, for the medical students, for the medical training, medical students come out of medical school, despite the high prevalence of cervical cancer in their training institution, they have never examined a patient with cervical cancer. Let alone, taken a punch biopsy. So, who’s going to teach them?” Doctor, Tertiary, Eastern Cape In both countries, HCWs reported that training should not be a one-off, but lifetime learning as healthcare advances. Currently, HCWs reported that further professional development is lacking, and information is imparted through other colleagues and acquired institutionally. Particularly in the Eastern Cape, SA, primary HCWs reported learning how to do procedures, such as pelvic examinations and Pap smears, from other colleagues during routine practice. In Zimbabwe, HCWs noted that many senior HCWs have left the sector, resulting in young nurses and doctors being the predominant make-up of the workforce and that they need sufficient training to make up for this loss of senior professionals. “We all need to be taken to a thorough training and a proper training. Look, when I started doing Pap smears, we were using spatulas and those lights before. And it’s not like even then I was trained. It was an information imparted to me by my colleague.” Nurse, Primary, Eastern Cape “We have got many of our senior health workers are out of the country, brain drain. So, we have got young nurses, young clinicians who are just coming from school. I think if they are empowered it will be easy. It will save our community because they will quickly diagnose-, they will quickly know the signs and symptoms of cancer so that when the patient presents to them, they are transferred there and there… [They should be trained on] the cause of cancer, possible causes of cancer, history taking and how to examine. I think that those are the key.” Nurse, Primary, Harare Awareness of protocols and guidelines PHC practitioners across both countries reported that they were not aware of formal protocols and guidelines for managing and referring patients with suspected cancer symptoms. The referral procedures used are often informal, reportedly not written up and are held by institutional knowledge. Occasionally, this results in “incorrect” referrals, for example, referring to the wrong department. Internal procedures and guidelines are not standardised nor uniformly available at facility level. Resultantly, HCWs rely on knowledge from national guidelines, training, and institutional knowledge. “I’m not aware of any formal protocol, no.” Doctor, Primary, Western Cape “I haven’t seen [protocols and guidelines] now.” Nurse, Primary, Eastern Cape “Ah, no we don’t have the protocols.” Nurse, Primary, Harare “Actually, perhaps I am the only ignorant person about the guideline. The guideline is there but I think its emphasis on and retraining of cadres because you get new people because of the brain drain.” Nurse, Tertiary, Bulawayo Inappropriate and suboptimal clinical assessments Referral pathways for patients with suspected cancer symptoms are impacted by inappropriate and suboptimal clinical assessments. Secondary and tertiary HCWs in both in-depth interviews and clinical advisory workshops reported that they see patients who have had multiple visits to PHC prior to referral where the patient has received inappropriate management, such as antibiotics for an extended period, Pap smears when they have visible cervical lesions, or repeated treatment of rectal bleeding as haemorrhoids without further investigation. This mismanagement is reported to result in significant diagnostic delays. “Once that patient communicates that to a doctor who is not going to examine and confirm, and that doctor will just write only on the file, it means it’s already labelled on the file. Every doctor that will see that patient, will think haemorrhoids, haemorrhoids. No one bothers to examine the patient. And you just give this treatment for constipation and haemorrhoids.” Doctor, Secondary, Eastern Cape “…sometimes when a patient goes be it to a secondary or tertiary facility, for instance, if a patient presents with vaginal discharge or post coital bleeding, at times the patient is mismanaged, like she will be treated for sexually transmitted infections. The patient is given some antibiotics, maybe for 7 days or be it 2 weeks. The patient comes back, the discharge has not resolved, and she is given some antibiotics again yet there is disease progression.” Nurse, Tertiary, Harare “And then if they get HCWs who have got no experience when it comes to tumours, the HCW will see the patient and send the patient home. I’ve seen cases like that. They refer the patient home and say, if [the breast lump] doesn’t give you pain, it’s not bothering you, don’t stress.” Doctor, Secondary, Eastern Cape PHC practitioners reported that asymptomatic patients are diagnosed through regular Pap smears, and that it is very rare to find a patient with symptoms of cervical cancer. However, doctors working in tertiary care in SA and Zimbabwe in both the in-depth interviews and clinical advisory workshops stated that cervical cancer patients are still arriving with advanced stage disease and inappropriate or irregular Pap smears have been done at PHC on symptomatic patients. Participants in SA reported this to have resulted in delays in referral by up to eight months. Tertiary HCWs in the clinical advisory workshops reported that vaginal discharge syndrome is common misdiagnosis among women with symptomatic cervical cancer. HCWs in secondary and tertiary care perceived that PHC practitioners do not visualise the cervix when patients’ present with vaginal discharge and prescribe antibiotics repeatedly over an extended period. They state that this is due to insufficient PHC practitioners’ education, overworked healthcare system, PHC practitioners’ reluctance to do vaginal examinations, and lack of available speculums. “And you phoned that sister in charge of the clinics… this patient that I’ve got in front of me has had antibiotics prescribed for the past nine months. Not a pelvic examination. She is a patient who’s been attending your clinic, HIV positive, for the past so many, and has never had a Pap smear.” Doctor, Tertiary, Eastern Cape While a few HCWs could name colorectal symptoms, many PHC practitioners reported never managing a patient they suspected of colorectal cancer or HCWs reported that digital rectal examinations are not done at primary care level for patients with colorectal symptoms. Furthermore, a secondary level HCW in the Western Cape reported that colorectal symptoms are vague, and patients represent multiple times at a PHC level. “And then I find the patients will often go to the clinic doctor, and those doctors, or nurse or whomever they see, are so busy. And I think because colorectal symptoms are quite subtle and they’re quite common, my experience is that patients re-present multiple times often to the clinic before they finally achieve a referral.” Doctor, Secondary, Western Cape Resource limitations Resource constraints were a major limitation widely reported by participants in both and clinical advisory workshops, including consumables, theatre time, beds, human resources, and specific infrastructure (such as endoscopy, mammogram, computerized tomography (CT) scan, and magnetic resonance imaging). Clinicians reported long waiting lists and broken machines that hamper timely access to diagnosis. For example, some facilities do not have access to certain diagnostics or machines are not functioning with no plans for repair. “A challenge almost arises with the tools. Because we’ll order the buffers, the brushes, and we won’t get them.” Nurse, Primary, Eastern Cape Mentioned in both in-depth interviews and clinical advisory workshops, insufficient health facility provided patient transport infrastructure within health facilities in SA reportedly causes delays for patients having to travel to secondary and tertiary health facilities for further diagnostics, investigations, and treatment. Tertiary facilities serve large geographic areas, requiring patients in rural areas to travel long distances to seek care. Across both provinces, transport availability in rural areas is limited, requiring HCWs to book patients’ appointments in accordance with transport availability, which can result in diagnostic delays. “So, there’s a planned patient transport bus … But that’s a limited number of seats… But it can happen that patients miss their dates, because something goes wrong with the transport.” Doctor, Primary, Western Cape “… the transport issue. Now patient is discussed, got that particular date, and when the patient goes to book the transport, there’s no transport. They end up missing the date. You have to rebook them. They get a date that is far then finding that the year is finishing, six months is finishing. Patient has been in the system but does not get to the tertiary institution. And there is still going to need to be assessed, biopsied, wait for the results and referred to.” Doctor, Secondary, Eastern Cape Discussion Improving timely diagnosis of breast, cervical and colorectal cancer in Southern Africa requires strategies and interventions that are responsive to both patient-related and health system delays and challenges in the pathway from symptoms to diagnosis. 6 , 12 , 13 This study examined patient-, HCW-, and health system factors that impacted the Diagnostic interval. In line with other studies, this study found that patient-level delays in the diagnostic interval were due to lack of access to transportation, rurality and distance to healthcare facilities, preference for alternative medicines and availability and affordability of medical care. 27 Particularly for Zimbabwe, the financial cost of healthcare within a socioeconomically deprived context results in substantial delays throughout the care continuum. The economic crisis in Zimbabwe, which started in the 1990s, has resulted in the deterioration of health infrastructure, which is articulated by public health facility closures, lack of medical supplies, insufficient healthcare workers, and lack of financial resources for the maintenance and upgrading of health infrastructure. 48 , 49 Because of cuts in renumeration and allowances, Zimbabwe is experiencing a loss of HCWs to the private sector and immigration which placed additional burden on those remaining. 49 Embedded within this broader context, there is a significant lack of financial allocation for cancer services. 50 HCWs and patients accessing cervical and breast cancer services in Zimbabwe reported that barriers to cancer care included insufficient human resources, limited training for HCWs, too few cancer specialists, medicine and equipment shortages, reliance on out-of-pocket payments by patients, and lack of clear referral systems. 50 – 52 Furthermore, centralised services make it difficult for rural patients to access health facilities. 50 Considering these challenges, interventions aimed at improving the diagnostic interval must be tailored to the context-specific socio-economic realities of health systems. Decentralising diagnostic services from tertiary to primary institutions 53 – 55 and patient navigation 5 , 55 – 58 have proven to be promising interventions for structural barriers affecting referral pathways by prompting patients to move along the referral pathway, improving access to health facilities and reducing the burden on tertiary-level facilities. Evidence from Kenya, Botswana and South Africa demonstrated that decentralising diagnostic services can reduce the workload of tertiary hospitals, and limit the burden on patients to travelling far distance to access healthcare services, and improved diagnostic turnaround time. 53 – 55 , 59 Challenges associated with decentralisation of healthcare in LMICs included inadequate technical skills needed to perform tasks, insufficient resources for essential services, and decentralisation of decision-making without granting authority to implement decisions. 60 A systematic review of decentralisation in LMICs found that decentralization led to a deterioration of human resources, medicines, and equipment, primarily due to increased bureaucracy and insufficient managerial skills at the local level. 60 To overcome these barriers, community participation and engagement in health planning processes are essential to improve communication and accountability between communities and the health sector. 60 Patients experience fragmented care from initial symptom experienced through the entire care journey. 61 Studies conducted in LMICs – primarily conducted in the African region and South Asia - have shown that patient navigation for early detection of breast cancer, with and without mHealth, has been successfully used to improve timely diagnosis. 5 , 56 – 58 , 62 These studies have shown that patient navigators and CHWs play a crucial role in doing initial clinical breast examinations, making onward referrals, facilitating access to specialist care services and connecting healthcare providers with patients by tracking those who have missed their appointments. 5 , 56 – 58 , 62 However, training for patient navigators is variable across contexts. 62 Within South Africa and Zimbabwe, CHWs are a recognised and important category of HCWs – linking the community with PHC facilities – who could potentially assist with navigation of symptomatic patients. Incorporating an evidence-based, contextually sensitive patient navigation programme into CHW training may be a feasible intervention to improve patient referral. 58 However, in South Africa and Zimbabwe, CHWs are employed by community-based organisations and face challenges such as limited resources, precarious employment, low or no pay, poor role clarity, and insufficient logistical and health systems support. 63 – 65 The CHW space is predominantly donor driven, which adds precarity to their position within the sector. 63 , 65 Within the cancer care continuum, patient navigators in South Africa are currently used in the research and NGO space predominantly for post diagnosis navigation. 66 – 68 These services have yet to be translated into navigation for symptomatic patients pre-diagnosis and are also limited by external sources of funding. 66 A study in Bangladesh demonstrated that mHealth tools in conjunction with patient navigation from symptom detection at PHC to diagnosis allowed for improved reach, provided better data quality, and encouraged more patients with breast symptoms to attend further care. 5 mHealth is the use of mobile devices, such as smart phones and wearable devices, to support and improve healthcare. However, the findings of our study suggest that the use of mHealth may be complicated by patients not being contactable via phone and HCWs requiring to use their own electronic devices for clinical work (see Arendse et al. 44 for an extended discussion). However, there are examples of successful mHealth interventions in other health areas, such as HIV, sexual and reproductive health, noncommunicable diseases and maternal care, in South Africa and Zimbabwe. 69 – 74 Designing and implementing successful mHealth interventions to improve earlier diagnosis of cancer in Southern Africa must draw on lessons from previous studies, and take participatory and human centred design approaches which allow for the creation of toolkits that are contextually relevant and accessible. 71 , 75 For example, choosing text-based as opposed to a smart phone app based approach may be more accessible. 69 , 71 mHealth toolkit development to improve earlier diagnosis of cancer needs to build in flexibility to cater to context-specific technology realities and needs. Several studies in Southern Africa have indicated that patients often visit PHC facilities multiple times before being referred. 12 , 26 , 76 In this study delays in referral from PHC were attributed to misappraisal and mismanagement of possible cancer symptoms at PHC level and insufficient training for PHC practitioners. Cancer symptoms often overlap with common conditions, complicating timely referral. 26 This study identified a need for continuous HCW training and professional development to improve cancer symptom assessment, particularly at PHC level. Training interventions in studies of various cancer types in LMICs aimed at enhancing the clinical skills of healthcare professionals have demonstrated consistent improvements to time to diagnosis. 55 , 77 Intervention studies in LMICs focused on enhancing the diagnostic capacity of HCWs, utilising methods such as video training, audio-visual education material, discussions, presentations, roleplaying and journal reviews, demonstrated improved knowledge scores for healthcare professionals. 55 , 78 – 84 Interventions designed to enhance diagnostic knowledge and skills have been shown to reduce diagnostic turnaround time, 55 , 59 increase detection rates, 18 , 55 and promote downstaging. 18 , 19 , 55 , 85 However, interventions to improve diagnostic knowledge and skills cannot be done as once offs as HCWs require regular training. 79 While standardised training is imperative for bridging gaps in education to improve HCW cancer symptom assessment and appraisal, developing interventions that build in continuing education on cancer symptoms and immediate feedback into everyday clinical practice, such as referral tools, can be a cost-effective and targeted solution for current knowledge gaps. Scholarship in similar contexts has shown that a lack of standardised referral pathways negatively impacts the diagnostic interval by causing unnecessary patient delays. 21 , 23 , 27 The lack of a uniform approach can result in unequal access to care, delays for patients, inappropriate referrals, and an increased burden on primary HCWs who must keep track of multiple referral pathways. 21 , 23 , 27 In this study, referral pathways varied within and between health facilities and were often held in institutional knowledge rather than by using standardised protocols. Feedback on referrals back to PHC providers are not common practice, hindering opportunities for continuing education for PHC practitioners. 26 Poor referral pathways are underpinned by poor communication practices within and between facilities. The predominant format of referral pathways results in long appointment waiting times and patients being lost to follow-up. Technological interventions for patient referrals, follow-ups, and clinical decision-making have proven feasible even in rural settings, provided that the necessary infrastructure and operational readiness are in place. 5 , 22 , 55 , 86 Developing locally specific and effective interventions to improve referral pathways should be underpinned by current best practices, patient realities and health system limitations. To our knowledge, this is the first study in SA and Zimbabwe to investigate HCWs’ across different levels of care perceptions of the challenges and facilitators in the pathways to diagnosing breast, cervical, and colorectal cancers. The qualitative nature of the inquiry and strong theoretical underpinning with the Model of Pathways to Treatment enabled an in-depth exploration of the research question. Conducted in both countries, the study examined perceived variations in healthcare systems across Southern Africa. By examining cancer care in two distinct countries, the study provides valuable insights into how different levels of human development index impact healthcare systems and identify unique challenges and best practices. A comparative analysis reveals important differences in health outcomes and resource allocation, which can inform targeted interventions. This study also was conducted in both urban and rural settings to explore geographic differences in service provision, offering an examination of similarities and differences across geographical contexts. A limitation of this study is that it provides HCW perceptions of patient-level factors, which may not entirely reflect patient experiences, beliefs and circumstances. Conclusion Improving the diagnostic interval for breast, cervical, and colorectal cancer in Southern Africa necessitates targeted strategies that address both patient- and health-system related factors with consideration given to socio-cultural and economic contexts. Data Availability The data related to the preparation of this study can be made available on request. Authors contributions SD was responsible for project management in South Africa; data collection in South Africa; data analysis; and leading the write-up of the manuscript. SM and MM were responsible for data collection in Zimbabwe; data analysis; and reviewing the manuscript for critically for important intellectual content. KDA and NT were data analysis; and reviewing the manuscript for critically for important intellectual content. SES and TR was responsible for reviewing the manuscript for critically for important intellectual content. VAS was responsible for the data analysis and reviewing the manuscript for critically for important intellectual content. BTG was responsible for project management in Zimbabwe and reviewing the manuscript for critically for important intellectual content. FMW and JM carry over-all end-responsibility of the project, including oversight for the protocol development, implementation, and assurance for the timely reporting and dissemination of study results. Funding statement This research was funded by the NIHR (NIHR133231) using UK international development funding from the UK Government to support global health research. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR or the UK government. Data sharing statement The data related to the preparation of this study can be made available on request. Competing interests The authors declare no competing interests. Patient Public Involvement Public patient involvement is central to the AWCAN-ED Project. The AWACAN-ED steering committee and broader collaborator team, which includes HCWs, policy makers and patients in the South African and Zimbabwean healthcare system, have been involved from the onset in the development of the initial funding application, proposal development, data collection and provided feedback on initial findings during feedback workshops. Abbreviation List ART Antiretroviral therapy AWACAN-ED African aWAreness of CANcer & Early Diagnosis programme CHW Community Healthcare Worker eHealth Electronic health GP General Practitioner HCW Healthcare worker HDI Human Development Index HIV Human immunodeficiency virus IQR Interquartile range LEEP Loop electrosurgical excision procedure LMIC Low-and-middle-income country mHealth Mobile health OI Opportunistic infection OPD Outpatient department PHC Primary healthcare SA South Africa VIAC Visual Inspection with Acetic Acid and Cervicography WHO World Health Organization References 1. ↵ Bray F , Laversanne M , Sung H , et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries . CA: a cancer journal for clinicians . 2024 ; 74 ( 3 ): 229 – 63 doi: OpenUrl CrossRef PubMed 2. ↵ International Agency for Research on Cancer (IARC), World Health Organisation (WHO) . The Global Cancer Observatory: Cancer Tomorrow 2023 [Available from: https://gco.iarc.fr/tomorrow/en . Retrieved 8 November 2023 3. ↵ The Lancet . GLOBOCAN 2018: counting the toll of cancer . 2018 . p. 985 . 4. ↵ Tegegne TK , Chojenta C , Loxton D , Smith R , Kibret KT . The impact of geographic access on institutional delivery care use in low and middle-income countries: systematic review and meta-analysis . PloS One . 2018 ; 13 ( 8 ): e0203130 doi: 10.1371/journal.pone.0203130 . OpenUrl CrossRef PubMed 5. ↵ Ginsburg OM , Chowdhury M , Wu W , et al. An mHealth model to increase clinic attendance for breast symptoms in rural Bangladesh: can bridging the digital divide help close the cancer divide? The Oncologist . 2014 ; 19 ( 2 ): 177 – 85 doi: 10.1634/theoncologist.2013-0314 . OpenUrl Abstract / FREE Full Text 6. ↵ Nnaji CA , Ezenwankwo EF , Kuodi P , Walter FM , Moodley J . Timeliness of diagnosis of breast and cervical cancers and associated factors in low-income and middle-income countries: a scoping review . BMJ Open . 2022 ; 12 ( 2 ) doi: 10.1136/bmjopen-2021-057685 . OpenUrl Abstract / FREE Full Text 7. ↵ Jedy-Agba E , McCormack V , Adebamowo C , dos-Santos-Silva I . Stage at diagnosis of breast cancer in sub-Saharan Africa: a systematic review and meta-analysis . The Lancet Global Health . 2016 ; 4 ( 12 ): e923 – e35 doi: 10.1016/S2214-109X(16)30259-5 . OpenUrl CrossRef PubMed 8. ↵ Cassim S , Chepulis L , Keenan R , et al. Patient and carer perceived barriers to early presentation and diagnosis of lung cancer: a systematic review . BMC Cancer . 2019 ; 19 : 1 – 14 doi: 10.1186/s12885-018-5169-9 . OpenUrl CrossRef PubMed 9. ↵ Okunade K , Nkhoma KB , Salako O , et al. Understanding data and information needs for palliative cancer care to inform digital health intervention development in Nigeria, Uganda and Zimbabwe: protocol for a multicountry qualitative study . BMJ Open . 2019 ; 9 ( 10 ): e032166 doi: 10.1136/bmjopen-2019-032166 . OpenUrl Abstract / FREE Full Text 10. ↵ World Health Organization . WHO report on cancer: setting priorities, investing wisely and providing care for all . Geneva : World Health Organisation ; 2020 . 11. ↵ International Agency for Research on Cancer (IARC), World Health Organisation (WHO) . The Global Cancer Observatory: Cancer Today 2024 [Available from: https://gco.iarc.who.int/today . Retrieved 3 October 2024 12. ↵ Moodley J , Cairncross L , Naiker T , Constant D . From symptom discovery to treatment - women’s pathways to breast cancer care: a cross-sectional study . BMC Cancer . 2018 ; 18 ( 1 ): 312 doi: 10.1186/s12885-018-4219-7 . OpenUrl CrossRef PubMed 13. ↵ Khan SZ , Lengyel CG . Challenges in the management of colorectal cancer in low- and middle-income countries . Cancer Treatment and Research Communications . 2023 ; 35 : 100705 doi: 10.1016/j.ctarc.2023.100705 . OpenUrl CrossRef 14. ↵ World Health Organisation (WHO) . WHO report on cancer: setting priorities, investing wisely and providing care for all . Geneva : World Health Organisation ; 2020 . 15. ↵ Scott S , Walter F , Webster A , Sutton S , Emery J . The model of pathways to treatment: conceptualization and integration with existing theory . British Journal of Health Psychology . 2013 ; 18 ( 1 ): 45 – 65 doi: 10.1111/j.2044-8287.2012.02077.x . OpenUrl CrossRef PubMed Web of Science 16. Cazap E , Magrath I , Kingham TP , Elzawawy A . Structural barriers to diagnosis and treatment of cancer in low-and middle-income countries: the urgent need for scaling up . Journal of Clinical Oncology . 2016 ; 34 ( 1 ): 14 – 9 doi: 10.1200/JCO.2015.61.9189 . OpenUrl Abstract / FREE Full Text 17. ↵ Walter F , Webster A , Scott S , Emery J . The Andersen Model of Total Patient Delay: a systematic review of its application in cancer diagnosis . Journal of Health Services Research & Policy . 2012 ; 17 ( 2 ): 110 – 8 doi: 10.1258/jhsrp.2011.010113 . OpenUrl CrossRef PubMed Web of Science 18. ↵ Murillo R , Díaz S , Perry F , et al. Increased breast cancer screening and downstaging in C olombian women: A randomized trial of opportunistic breast-screening . International Journal of Cancer . 2016 ; 138 ( 3 ): 705 – 13 doi: 10.1002/ijc.29801 . OpenUrl CrossRef PubMed 19. ↵ Pace LE , Dusengimana JMV , Shulman LN , et al. Cluster randomized trial to facilitate breast cancer early diagnosis in a rural district of Rwanda . Journal of Global Oncology . 2019 ; 5 : 1 – 13 doi: 10.1200/JGO.19.0020 . OpenUrl CrossRef PubMed 20. ↵ Dickerson LK , Rositch AF , Lucas S , Harvey SC . Pilot Educational Intervention and Feasibility Assessment of Breast Ultrasound in Rural South Africa . Journal of Global Oncology . 2017 ; 3 ( 5 ): 502 – 8 doi: 10.1200/JGO.2016.008086 . OpenUrl CrossRef PubMed 21. ↵ Moodley J , Harries J , Scott SE , et al. Exploring primary care level provider interpretation and management of potential breast and cervical cancer signs and symptoms in South Africa . eCancermedicalscience . 2021 ; 15 doi: 10.3332/ecancer.2021.1298 . OpenUrl CrossRef 22. ↵ Moodley J , Constant D , Botha MH , et al. Exploring the feasibility of using mobile phones to improve the management of clients with cervical cancer precursor lesions . BMC Women’s Health . 2019 ; 19 : 1 – 10 doi: 10.1186/s12905-018-0702-1 . OpenUrl CrossRef PubMed 23. ↵ Momberg M , Botha MH , Van der Merwe FH , Moodley J . Women’s experiences with cervical cancer screening in a colposcopy referral clinic in Cape Town, South Africa: a qualitative analysis . BMJ Open . 2017 ; 7 ( 2 ): e013914 doi: 10.1136/bmjopen-2016-013914 . OpenUrl Abstract / FREE Full Text 24. ↵ Dalton M , Holzman E , Erwin E , et al. Patient navigation services for cancer care in low-and middle-income countries: a scoping review . PLoS One . 2019 ; 14 ( 10 ): e0223537 doi: 10.1371/journal.pone.0223537 . OpenUrl CrossRef PubMed 25. ↵ Poum A , Promthet S , Duffy SW , Parkin DM . Factors associated with delayed diagnosis of breast cancer in northeast Thailand . Journal of Epidemiology . 2014 ; 24 ( 2 ): 102 – 8 doi: 10.2188/jea.je20130090 . OpenUrl CrossRef PubMed 26. ↵ Moodley J , Harries J , Scott SE , et al. Exploring primary care level provider interpretation and management of potential breast and cervical cancer signs and symptoms in South Africa . eCancermedicalscience . 2021 ; 15 : 1298 doi: 10.3332/ecancer.2021.1298 . OpenUrl CrossRef 27. ↵ Martins T , Merriel SWD , Hamilton W . Routes to diagnosis of symptomatic cancer in sub-Saharan Africa: systematic review . BMJ Open . 2020 ; 10 ( 11 ): e038605 doi: 10.1136/bmjopen-2020-038605 . OpenUrl Abstract / FREE Full Text 28. ↵ United Nations Development Programme, The Government of South Africa . South Africa National Human Development Report 2022: Harnessing the Employability of South Africa’s Youth . 2022 . 29. ↵ Odusola A. HDR 2023-2024: “Reimagining cooperation in a polarised world in the context of Zimbabwe”? : United Nations Development Programme ; 2024 [ 30. ↵ AWACAN-ED . African aWAreness of CANcer & Early Detection 2024 [cited 2024 19 June 2024 ]. Available from: https://awacan.online/ . 31. ↵ Statistics South Africa . General Household Survey Pretoria: Statistics South Africa (Stats SA) ; 2020 . 32. ↵ Fonn S. Explainer: how competitive is South Africa’s private health care sector . The Conversation . 2018 30 July. 33. ↵ South African National Department of Health . Referral Policy for South African Health Services and Referral Implementation Guidelines . Pretoria : NDoH ; 2020 . 34. ↵ Ministry of Health and Child Welfare . Health Informatiom System: National Strategy for Zimbabwe 2021-2025 . Harare : Ministry of Health and Child Welfare ; 2021 . 35. ↵ South African National Department of Health . Uniform Patient Fee Schedule 2024 [Available from: https://www.health.gov.za/uniform-patient-fee-schedule/ . Retrieved 4 October 2024 36. ↵ Zimbabwe Ministry of Health and Child Welfare . Zimbabwe National Health Financing Policy: Resourcing Pathway to Universal Health Coverage . Harare, Zimbabwe 2016 . 37. ZimHealth . Health in Zimbabwe [Available from: https://zimhealth.org/news/health-in-zimbabwe/ . Retrieved 15 October 2024 38. ↵ Mhazo AT , Maponga CC , Mossialos E . Inequality and private health insurance in Zimbabwe: history, politics and performance . International Journal for Equity in Health . 2023 ; 22 ( 1 ): 54 doi: 10.1186/s12939-023-01868-9 . OpenUrl CrossRef PubMed 39. ↵ South African National Department of Health . Breast Cancer Prevention and Control Policy . Pretoria : NDOH ; 2017 . 40. ↵ South African National Department of Health . Cervical cancer prevention and control policy . NDoH Pretoria ; 2017 . 41. ↵ South African National Department of Health . The 2017-2022 National cancer Strategic framework (NCSF) Pretoria : NDOH ; 2017 . 42. ↵ Zimbabwe Ministry of Health and Child Care . Zimbabwe National Cancer Strategy (2014-2018) . Harare : Zimbabwe Ministry of Health and Child Care ; 2014 . 43. ↵ Zimbabwe Ministry of Health and Child Care . The Zimbabwe Cervical Cancer Prevention and Control Strategy ( 2016-2020 ). Harare . 44. ↵ Arendse KD , Day S , Guzha BT , et al. Healthcare workers’ perspectives on the barriers and facilitators to digital health technology use to support symptomatic cancer diagnosis in South Africa and Zimbabwe: a qualitative study . JMIR Preprints . 2024 ; 68412 doi: 45. ↵ Braun V , Clarke V . Conceptual and design thinking for thematic analysis . Qualitative psychology . 2022 ; 9 ( 1 ): 3 doi: 10.1037/qup0000196 . OpenUrl CrossRef 46. ↵ Rossman GB , Rallis SF . Learning in the field: An introduction to qualitative research : Sage ; 2011 . 47. ↵ Scott K , Beckham SW , Gross M , et al. What do we know about community-based health worker programs? A systematic review of existing reviews on community health workers . Human resources for health . 2018 ; 16 : 1 – 17 doi: OpenUrl PubMed 48. ↵ Makoni M . Doctor strikes in Zimbabwe: fighting for provision of health . The Lancet . 2019 ; 393 ( 10170 ): 391 – 2 doi: OpenUrl 49. ↵ Mangundu M , Roets L , ES JvR. The Economic Crisis (2008-2019) and Health Care in Zimbabwe: A Structured Literature Review . The Open Public Health Journal . 2023 ; 16 ( 1 ) doi: 50. ↵ Gotora E . Health System in Zimbabwe and Delay in Seeking Health Care of Breast Cancer Among Women . Health . 2021 : 243 – 64 doi: 51. Tapera O , Dreyer G , Kadzatsa W , et al. Health system constraints affecting treatment and care among women with cervical cancer in Harare, Zimbabwe . BMC health services research . 2019 ; 19 : 1 – 10 doi: OpenUrl PubMed 52. ↵ Tapera O , Nyakabau AM , Simango N , et al. Gaps and opportunities for cervical cancer prevention, diagnosis, treatment and care: evidence from midterm review of the Zimbabwe cervical Cancer prevention and control strategy (2016–2020) . BMC public health . 2021 ; 21 : 1 – 13 doi: OpenUrl CrossRef PubMed 53. ↵ Maimela G , Nene X , Mvundla N , et al. The impact of decentralising colposcopy services from tertiary-level to primary-level care in inner-city Johannesburg, South Africa: a before and after study . BMJ Open . 2019 ; 9 ( 3 ): e024726 doi: 10.1136/bmjopen-2018-024726 . OpenUrl Abstract / FREE Full Text 54. Nyangasi MF , McLigeyo AA , Kariuki D , et al. Decentralizing cancer care in sub-Saharan Africa through an integrated regional cancer centre model: The case of Kenya . PLOS Global Public Health . 2023 ; 3 ( 9 ): e0002402 doi: 10.1371/journal.pgph.0002402 . OpenUrl CrossRef 55. ↵ Nnaji CA , Kuodi P , Walter FM , Moodley J . Effectiveness of interventions for improving timely diagnosis of breast and cervical cancers in low-income and middle-income countries: a systematic review . BMJ Open . 2022 ; 12 ( 4 ): e054501 doi: 10.1136/bmjopen-2021-054501 . OpenUrl Abstract / FREE Full Text 56. ↵ Yeoh Z-Y , Jaganathan M , Rajaram N , et al. Feasibility of patient navigation to improve breast cancer care in Malaysia . Journal of Global Oncology . 2018 ; 4 : 1 – 13 doi: 10.1200/JGO.17.00229 . OpenUrl CrossRef PubMed 57. Abuidris DO , Elsheikh A , Ali M , et al. Breast-cancer screening with trained volunteers in a rural area of Sudan: a pilot study . The Lancet Oncology . 2013 ; 14 ( 4 ): 363 – 70 doi: 10.1016/S1470-2045(12)70583-1 . OpenUrl CrossRef PubMed 58. ↵ Chavarri-Guerra Y , Soto-Perez-de-Celis E , Ramos-López W , et al. Patient navigation to enhance access to care for underserved patients with a suspicion or diagnosis of cancer . The Oncologist . 2019 ; 24 ( 9 ): 1195 – 200 doi: 10.1634/theoncologist.2018-0133 . OpenUrl Abstract / FREE Full Text 59. ↵ Martei YM , Narasimhamurthy M , Prabhakar P , et al. Breast cancer pathology turnaround time in Botswana . Journal of Global Oncology . 2017 ; 4 : 1 – 7 doi: OpenUrl 60. ↵ Cobos Muñoz D , Merino Amador P , Monzon Llamas L , Martinez Hernandez D , Santos Sancho JM . Decentralization of health systems in low and middle income countries: a systematic review . International journal of public health . 2017 ; 62 : 219 – 29 doi: OpenUrl PubMed 61. ↵ Dandadzi A , Chapman E , Chirenje ZM , et al. Patient experiences of living with cancer before interaction with palliative care services in Zimbabwe: A qualitative secondary data analysis . European journal of cancer care . 2022 ; 31 ( 5 ): e13632 doi: OpenUrl PubMed 62. ↵ O’Donovan J , Newcomb A , MacRae MC , et al. Community health workers and early detection of breast cancer in low-income and middle-income countries: a systematic scoping review of the literature . BMJ Global Health . 2020 ; 5 ( 5 ): e002466 doi: 10.1136/bmjgh-2020-002466 . OpenUrl Abstract / FREE Full Text 63. ↵ D’Ambruoso L , Abruquah NA , Mabetha D , et al. Expanding Community Health Worker decision space: learning from a Participatory Action Research training intervention in a rural South African district . Human Resources for Health . 2023 ; 21 ( 1 ): 66 doi: OpenUrl PubMed 64. Matsengarwodzi D . In Zimbabwe, a community health worker is not only, and not least, a shoulder to cry on: Gavi: The vaccine alliance ; 2024 [Available from: https://www.gavi.org/vaccineswork/zimbabwe-community-health-worker-not-only-and-not-least-shoulder-cry . Retrieved 16 December 65. ↵ Rusike VI. Community health workers: Essential for health, under-valued by planners: Medicus Mundi Schwiez ; [Available from: https://www.medicusmundi.ch/de/advocacy/publikationen/mms-bulletin/community-health-workers-and-health-systems-s/kapitel-2/community-health-workers-essential-for-health . Retrieved 16 December 66. ↵ Čačala SR , Farrow H , Makhanya S , et al. The Value of Navigators in Breast Cancer Management in a South African Hospital . World J Surg . 2021 ; 45 ( 5 ): 1316 – 22 doi: 10.1007/s00268-020-05931-2 . OpenUrl CrossRef PubMed 67. Campaigning for Cancer . Patient Navigation 2024 [Available from: https://campaign4cancer.co.za/wp/patient-navigation/ . 68. ↵ The Machi Filotimo Cancer Project . Filotimo Cancer Navigation 2024 [Available from: https://www.filotimo.org.za/f-navigation . 69. ↵ Feldacker C , Murenje V , Holeman I , et al. Reducing provider workload while preserving patient safety: a randomized control trial using 2-way texting for postoperative follow-up in Zimbabwe’s voluntary medical male circumcision program . JAIDS Journal of Acquired Immune Deficiency Syndromes . 2020 ; 83 ( 1 ): 16 – 23 doi: 10.1097/QAI.0000000000002198 . OpenUrl CrossRef PubMed 70. Feldacker C , Holeman I , Murenje V , et al. Usability and acceptability of a two-way texting intervention for post-operative follow-up for voluntary medical male circumcision in Zimbabwe . PloS one . 2020 ; 15 ( 6 ): e0233234 doi: 10.1371/journal.pone.0233234 . OpenUrl CrossRef PubMed 71. ↵ Feldacker C , Pienaar J , Wasunna B , et al. Expanding the Evidence on the Safety and Efficiency of 2-Way Text Messaging–Based Telehealth for Voluntary Medical Male Circumcision Follow-up Compared With In-Person Reviews: Randomized Controlled Trial in Rural and Urban South Africa . Journal of medical Internet research . 2023 ; 25 : e42111 doi: 10.2196/42111 . OpenUrl CrossRef PubMed 72. Ojo AI . mHealth interventions in South Africa: A review . Sage Open . 2018 ; 8 ( 1 ): 2158244018767223 doi: OpenUrl 73. Dhakwa D , Mudzengerere FH , Mpofu M , et al. Use of mHealth solutions for improving access to adolescents’ sexual and reproductive health services in resource-limited settings: lessons from Zimbabwe . Frontiers in Reproductive Health . 2021 ; 3 : 656351 doi: OpenUrl PubMed 74. ↵ Dabengwa IM , Nyati-Jokomo Z , Chikoko L , et al. A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe . Development Southern Africa . 2023 ; 40 ( 2 ): 421 – 40 doi: OpenUrl 75. ↵ Feldacker C , Murenje V , Barnhart S , et al. Reducing provider workload while preserving patient safety via a two-way texting intervention in Zimbabwe’s voluntary medical male circumcision program: study protocol for an un-blinded, prospective, non-inferiority, randomized controlled trial . Trials . 2019 ; 20 : 1 – 11 doi: 10.1186/s13063-019-3470-9 . OpenUrl CrossRef PubMed 76. ↵ Moodley J , Cairncross L , Naiker T , Momberg M . Understanding pathways to breast cancer diagnosis among women in the Western Cape Province, South Africa: a qualitative study . BMJ Open . 2016 ; 6 ( 1 ): e009905 doi: 10.1136/bmjopen-2015-009905 . OpenUrl Abstract / FREE Full Text 77. ↵ Qu LG , Brand NR , Chao A , Ilbawi AM . Interventions addressing barriers to delayed Cancer diagnosis in low-and middle-income countries: A systematic review . The Oncologist . 2020 ; 25 ( 9 ): e1382 – e95 doi: 10.1634/theoncologist.2019-0804 . OpenUrl CrossRef PubMed 78. ↵ Ceber E , Turk M , Ciceklioglu M . The effects of an educational program on knowledge of breast cancer, early detection practices and health beliefs of nurses and midwives . Journal of Clinical Nursing . 2010 ; 19 ( 15-16 ): 2363 – 71 doi: 10.1111/j.1365-2702.2009.03150.x . OpenUrl CrossRef PubMed 79. ↵ Moshfeghi K , Mohammadbeigi A . Comparison the effects of two educational methods on knowledge, attitude and practices of Arak physicians about breast cancer . Pakistan Journal of Biological Sciences . 2010 ; 13 ( 18 ): 901 – 5 doi: 10.3923/pjbs.2010.901.905 . OpenUrl CrossRef PubMed 80. Eskandari-Torbaghan A , Kalan-Farmanfarma K , Ansari-Moghaddam A , Zarei Z . Improving breast cancer preventive behavior among female medical staff: the use of educational intervention based on health belief model . The Malaysian Journal of Medical Sciences . 2014 ; 21 ( 5 ): 44 doi: PMC4418125. OpenUrl 81. Karadag M , Iseri O , Etikan I . Determining nursing student knowledge, behavior and beliefs for breast cancer and breast self-examination receiving courses with two different approaches . Asian Pacific Journal of Cancer Prevention . 2014 ; 15 ( 9 ) doi: 10.7314/apjcp.2014.15.9.3885 . OpenUrl CrossRef 82. Vithana P , Ariyaratne M , Jayawardana P . Effectiveness of an educational intervention among public health midwives on breast cancer early detection in the district of Gampaha, Sri Lanka . Asian Pacific Journal of Cancer Prevention . 2015 ; 16 ( 1 ): 227 – 32 doi: 10.7314/apjcp.2015.16.1.227 . OpenUrl CrossRef PubMed 83. Khokher S , Qureshi MU , Fatima W , Mahmood S , Saleem A . Impact of a breast health awareness activity on the knowledge level of the participants and its association with socio-demographic features . Asian Pacific Journal of Cancer Prevention . 2015 ; 16 ( 14 ): 5817 – 22 doi: 10.7314/apjcp.2015.16.14.5817 . OpenUrl CrossRef PubMed 84. ↵ Ali TS , Baig S . Evaluation of a cancer awareness campaign: experience with a selected population in Karachi . Asian Pacific Journal of Cancer Prevention . 2006 ; 7 ( 3 ): 391 doi: 17059328. OpenUrl PubMed 85. ↵ Devi B , Tang T , Corbex M . Reducing by half the percentage of late-stage presentation for breast and cervix cancer over 4 years: a pilot study of clinical downstaging in Sarawak, Malaysia . Annals of Oncology . 2007 ; 18 ( 7 ): 1172 – 6 doi: 10.1093/annonc/mdm105 . OpenUrl CrossRef PubMed Web of Science 86. ↵ Hadley M , Mullen LA , Dickerson L , Harvey SC . Assessment and Improvement Strategies for a Breast Cancer Early Detection Program in Rural South Africa . Journal of Global Oncology . 2018 ; 4 : 1 – 12 doi: 10.1200/JGO.18.00015 . OpenUrl CrossRef PubMed View the discussion thread. Back to top Previous Next Posted January 15, 2025. Download PDF Supplementary Material Data/Code Email Thank you for your interest in spreading the word about medRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. 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