Skip to main content

Task shifting roles, interventions and outcomes for kidney and cardiovascular health service delivery among African populations: a scoping review

Abstract

Background

Human resources for health (HRH) shortages are a major limitation to equitable access to healthcare. African countries have the most severe shortage of HRH in the world despite rising communicable and non-communicable disease (NCD) burden. Task shifting provides an opportunity to fill the gaps in HRH shortage in Africa. The aim of this scoping review is to evaluate task shifting roles, interventions and outcomes for addressing kidney and cardiovascular (CV) health problems in African populations.

Methods

We conducted this scoping review to answer the question: “what are the roles, interventions and outcomes of task shifting strategies for CV and kidney health in Africa?” Eligible studies were selected after searching MEDLINE (Ovid), Embase (Ovid), CINAHL, ISI Web of Science, and Africa journal online (AJOL). We analyzed the data descriptively.

Results

Thirty-three studies, conducted in 10 African countries (South Africa, Nigeria, Ghana, Kenya, Cameroon, Democratic Republic of Congo, Ethiopia, Malawi, Rwanda, and Uganda) were eligible for inclusion. There were few randomized controlled trials (n = 6; 18.2%), and tasks were mostly shifted for hypertension (n = 27; 81.8%) than for diabetes (n = 16; 48.5%). More tasks were shifted to nurses (n = 19; 57.6%) than pharmacists (n = 6; 18.2%) or community health workers (n = 5; 15.2%). Across all studies, the most common role played by HRH in task shifting was for treatment and adherence (n = 28; 84.9%) followed by screening and detection (n = 24; 72.7%), education and counselling (n = 24; 72.7%), and triage (n = 13; 39.4%). Improved blood pressure levels were reported in 78.6%, 66.7%, and 80.0% for hypertension-related task shifting roles to nurses, pharmacists, and CHWs, respectively. Improved glycaemic indices were reported as 66.7%, 50.0%, and 66.7% for diabetes-related task shifting roles to nurses, pharmacists, and CHWs, respectively.

Conclusion

Despite the numerus HRH challenges that are present in Africa for CV and kidney health, this study suggests that task shifting initiatives can improve process of care measures (access and efficiency) as well as identification, awareness and treatment of CV and kidney disease in the region. The impact of task shifting on long-term outcomes of kidney and CV diseases and the sustainability of NCD programs based on task shifting remains to be determined.

Peer Review reports

Introduction

The low availability of human resources for health (HRH) is a major limitation to equitable access to healthcare in Africa [1,2,3,4]. African countries have the most severe shortage of HRH in the world with > 60% of countries experiencing extreme shortage of HRH located in the region [5]. It is estimated that although Africa bears 24% of the global disease burden, it has only 3% of the world’s health workforce and < 1% of the world’s financial resources for health [6]. Data from the World Health Organization (WHO) projects that Africa will have the lowest total stock of HRH (physicians, nurses, midwives, and other cadres of health workers) by 2030 and the highest increase in shortages (45% from 2013) than other world regions [7]. A global survey on the availability of HRH for kidney care showed massive disparities between world regions [4]. With a median of 0.62 (interquartile range [IQR]: 0.24–1.56) nephrologists per million population [pmp], Africa had the lowest distribution of nephrologists compared to other regions such as Western Europe (24.36 [IQR: 18.07–29.91] nephrologists pmp) [4]. Africa also had one of the lowest numbers of nephrology trainees and reported higher shortages of HRH for other cadres of kidney care providers (e.g., dialysis nurses, dialysis technologists, kidney transplant coordinators, access surgeons, etc.) than other regions [4].

The causes of HRH shortage in sub-Saharan Africa include existing shortfalls in pre-service training, international migration (brain drain), career changes among health workers, premature retirement, morbidity, and premature mortality [8,9,10]. Task shifting[11] which involves the rational redistribution of tasks from highly qualified health workers to health workers with shorter training or fewer qualifications could be useful for improving healthcare services for non-communicable diseases (NCDs) including kidney and cardiovascular (CV) health services. Task shifting has been used extensively in communicable diseases health service delivery and shown to be effective, acceptable and associated with increased access to treatment, cost-effectiveness, improved quality of care, and improved health outcomes [12,13,14,15]. Studies on task-shifting for NCDs care delivery have also shown efficacy in improving outcomes. Interventions with nurse-led diabetes and hypertension care led to significant reductions in pooled glycated hemoglobin (HbA1c) of − 0·54% (95% CI − 0·89 to − 0·18; P < 0.0001)[16] as well as significant reductions in pooled systolic blood pressure (BP) of –5∙34 mm Hg (95% CI –9∙00 to –1∙67; P < 0.01) [17]. However, they only included randomized controlled trials (RCTs) and therefore very few African studies due to lack of such RCTs in Africa [18]. Despite these benefits, task shifting has been associated with several negative impacts including staff conflicts [19], malpractice, and quackery[20] among others.

International stakeholder organizations (e.g., WHO) have put forward recommendations on task shifting as a measure towards addressing workforce shortages in low-income and lower-middle-income countries (LMICs). We therefore aimed to conduct a scoping literature review to evaluate task shifting roles, interventions, and outcomes for addressing kidney and CV health problems in African populations.

Methods

We developed and conducted this review using the methodology of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) [21, 22]. We also leveraged the six-stage methodological framework developed by Arksey and O’Malley[23] in formulating the study protocol.

Information sources and search strategy

The search strategy was developed to ensure that a comprehensive review of the existing evidence base was achieved, and we searched Medline (Ovid), Embase (Ovid), CINAHL, ISI Web of Science, and Africa journal online (AJOL). Additional hand searches were carried out by citations tracking and reference chaining of identified studies. The search strategies are as shown in Supplementary Table S1.

Eligibility criteria

We included studies that met the following characteristics:

  • • Studies performed in adult Africans (aged ≥ 18 years) and focused on kidney or CV risk reduction.

  • • Studies in which the intervention used task shifting/sharing to non-physician healthcare workers [e.g., nurses, pharmacists, community health workers, etc.] and involved screening/detection of kidney disease or CV disease, patient education/counselling, prescribing of medications, or methods to improve treatment adherence.

  • • Studies reporting outcomes of task shifting/sharing interventions related to kidney disease (e.g., change in proteinuria, or glomerular filtration rate) or improved CV risk factors (e.g., improved BP, glycaemic index, serum lipids, weight, etc.).

  • • Studies reporting improved quality initiatives for CV and kidney care (medication adherence, awareness, or clinic attendance).

  • • Experimental, quasi-experimental, or observational studies.

  • • Published in English.

  • • Study period: from inception to 30th June 2021.

The following study types were excluded:

  • • Task shifting interventions for communicable diseases (e.g., HIV, Malaria, etc.) or for conditions not related to kidney or CV risks (e.g., maternal and child health, mental health, etc.).

  • • Studies focused on implementation, training, barriers or facilitators of using various workforce for task-shifting for care.

  • • Studies on Africans not conducted within the African continent.

  • • Review articles, editorials, commentaries, letters to the editor, and guidelines or recommendations on task shifting.

Although kidney disease was reported as defined in each study, we defined it in this study as the assessment of participants with acute kidney injury (AKI), chronic kidney disease (CKD), kidney failure, or asymptomatic urinary abnormalities (hematuria and/or proteinuria).

Two reviewers (IIC and YRR) independently screened all identified citations for potential inclusion and a third reviewer (IGO) was consulted for resolution when agreement on a citation could not be reached. The review process first involved screening of the titles and abstracts and then a detailed review of all selected full texts to ascertain eligibility for inclusion (Fig. 1).

Fig. 1
figure 1

PRISMA Flow Diagram for study selection

Data items and data abstraction process

All relevant information from selected studies was summarized and collated in a Microsoft Excel spreadsheet. We collected data on the study characteristics (i.e., year of publication, sample size of the study, country of the study, study design, and study setting), intervention utilized i.e., type of HRH task was shifted to (e.g., nurse, pharmacist, community health worker, others), role of HRH (triage/referral, screening/detection, education/counselling, management), disease type for task shifting (hypertension, diabetes, hyperlipidemia, obesity, and kidney disease), and outcomes reported including improved BP, glycaemic markers, kidney function, serum lipids, weight reduction, etc. The impact of task shifting was assessed as any report of improved kidney function or CV risk factors (i.e., reduced BP, glycaemic levels, serum lipids, body mass index (BMI), proteinuria or increase in estimated glomerular filtration rate), and any reported increase in quality initiatives (i.e., increase in medication adherence, awareness, or clinic attendance).

Collating, summarizing, and reporting of the results

All extracted data were reviewed for accuracy and completeness. We followed recommendations to extend the scoping review process by adding thematic analysis[24] and the data were analyzed qualitatively using both deductive (pre-identified themes) and inductive (new identified themes) approaches. Most data were captured as “yes” or “no” with the proportions of “yes” responses descriptively reported as counts and percentages. The number of studies assigned to each worker category for a specific task was used as denominator in assessing outcomes within such task. For example, the number of studies for which tasks were shifted to nurses for hypertension was used to assess the proportion with improved BP levels for nurses. This was also done for other worker categories. Using 2013 WHO data on workforce densities for universal health coverage (UHC) and sustainable development goals [25], we also estimated the ratio of nurses to physicians as well as all other cadres of health workforce to physicians for each WHO region.

Risk of bias assessment or quality appraisal

Following guidance on scoping review conduct, we did not perform a risk of bias assessment or quality appraisal for included studies using standard criteria [21, 22].

Consultation exercise

Consultation was not conducted as part of this study.

Patient and public involvement

Patients and the public were not involved in this scoping review.

Results

Overall features of included studies

Our initial search identified 3,968 studies of which 33 studies conducted in 10 African countries: South Africa (n = 10; 30.3%) [26,27,28,29,30,31,32,33,34,35], Nigeria (n = 7; 21.2%) [36,37,38,39,40,41,42], Ghana (n = 4; 12.1%) [43,44,45,46], Kenya (n = 4; 12.1%) [47,48,49,50], Cameroon (n = 3; 9.1%) [51,52,53], Democratic Republic of Congo (n = 1; 3.0%) [54], Ethiopia (n = 1; 3.0%) [55], Malawi (n = 1; 3.0%) [56], Rwanda (n = 1; 3.0%) [57], and Uganda (n = 1; 3.0%) [58], were deemed eligible for inclusion (Table 1 and Fig. 2). More studies were conducted in both rural and urban areas (n = 13; 39.4%) than in urban areas only (n = 12; 36.4%) or rural areas only (n = 8; 24.2%). RCTs were the least employed study design included (n = 6; 18.2%)[29, 31, 33, 37, 42, 43] with half of these conducted in South Africa (n = 3; 50.0%). The disease of focus for included studies was hypertension only (n = 16; 48.5%) [26, 33, 36,37,38,39, 41, 43, 45, 46, 49, 50, 52, 54, 57, 58], diabetes mellitus only (n = 5; 15.2%) [27,28,29,30, 55], acute kidney injury (n = 1; 3.0%) [56], and multiple NCD risk factors (n = 11; 33.3%) [31, 32, 34, 35, 40, 42, 44, 47, 48, 51, 53].

Table 1 Demographic features of included studies
Fig. 2
figure 2

Map of Africa showing included countries, number of studies and sample size per country. (Created using: www.mapchart.net)

Overall, tasks were mostly shifted to nurses (n = 19; 57.6%) [26,27,28, 30, 31, 35, 37, 39, 43, 45,46,47, 50,51,52, 54,55,56,57], and this was true for studies from South Africa, Ghana, Cameroon, Democratic Republic of Congo (DRC), Ethiopia, Malawi and Rwanda. However, in four out of the seven studies from Nigeria, more tasks were shifted to pharmacists[36, 38, 40, 42] (Supplementary Table S2). Several studies reported multiple roles for tasks to be shifted and the roles included treatment and adherence support (n = 28; 84.9%) [26,27,28,29,30,31,32,33,34,35,36,37, 39, 41, 42, 44,45,46,47, 49, 51,52,53,54,55,56,57], disease screening and detection (n = 24; 72.7%) [26, 27, 30,31,32, 34, 35, 37, 38, 40, 41, 44,45,46, 48,49,50,51,52,53, 55,56,57,58], education and counselling (n = 24; 72.7%) [26,27,28,29,30, 32,33,34, 36,37,38,39, 41,42,43,44,45,46, 51,52,53, 55,56,57], and triage (n = 13; 39.4%) [26, 30, 32,33,34, 40, 41, 44, 47,48,49, 58]. In each category of task shifted roles examined, studies from South Africa had the highest proportions (Supplementary Table S2). Summaries of study objectives, interventions, results, and outcomes are provided in Supplementary Table S3.

Task shifting for hypertension

Task shifting was used for hypertension (alone or with other NCD risk factor) in 27 studies (81.8%) [26, 31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54, 57, 58], and were mostly shifted to nurses (n = 14; 51.9%). Overall, improved BP levels and improved awareness were reported in 21 (77.8%)[30,31,32,33,34,35,36, 38, 41, 43,44,45,46, 49, 51,52,53,54,55, 57, 58] and 14 (51.9%)[32,33,34, 36, 38, 40, 41, 44,45,46, 48, 52, 53, 58] studies, respectively (Table 2). In studies where BP-related tasks were shifted, improved BP levels was reported in 78.6% (nurses; n = 11) [30, 31, 35, 43, 45, 46, 51, 52, 54, 55, 57], 66.9% (pharmacists; n = 4) [33, 36, 38, 44], 80.0% (CHW; n = 4) [32, 34, 41, 49], and 100% (other workers [health promoters, medicines counter assistant, or non-physician clinician]; n = 2)[53, 58] (Table 2 and Fig. 3). However, the proportion of studies that reported improved hypertension awareness by type of health worker was 83.3% (pharmacists; n = 5) [33, 36, 38, 40, 44], 80.0% (CHW; n = 4) [32, 34, 41, 48], 21.4% (nurses; n = 3) [45, 46, 52], and 100% (others; n = 2) [53, 58].

Table 2 Impact of task shifting on outcomes based on healthcare worker
Fig. 3
figure 3

Relationship between task shifting and clinical outcomes. Abbreviations: CHW – community health workers

*Others include health promoters, medicine counter assistant, non-physician clinician

Task shifting for diabetes mellitus

Overall, and of the 16 studies that used task shifting for diabetes mellitus [27,28,29,30,31,32, 34, 35, 40, 42, 44, 47, 48, 51, 53, 55], ten (62.5%) studies reported improved glycaemic levels (either blood glucose or glycated hemoglobin)[27, 28, 30, 32, 34, 35, 40, 51, 53, 55] while six (37.5%) studies reported improved detection of diabetes[30, 32, 34, 48, 53, 55] (Table 2). Improved glycaemic levels were reported in 66.7% (n = 6) of nurse-led studies [27, 28, 30, 35, 51, 55], 50.0% (n = 1) of pharmacist-led studies [40], 66.7% (n = 2) of CHW-led studies [32, 34], and 50% (n = 1) of studies led by other health workers[53] (Fig. 3). However, detection of diabetes was reported in 22.2% (n = 2; nurses), 0% (pharmacists), 100% (n = 3; CHW), and 50% (n = 1; others) (Table 2).

Task shifting for kidney diseases

Only one study, conducted in Malawi, employed task shifting principles to improve kidney outcomes [56]. In this study, nurse-led education programs resulted in improved acute kidney injury (AKI) detection, fluid charting, and recording of urine outputs (Fig. 3).

Discussion

The findings of our study underscore the value of task shifting for NCD detection, management, and control in Africa given the rising incidence of NCD in the continent. Importantly, we identified task shifting to be linked with improved detection, awareness, and management of hypertension, diabetes mellitus, and kidney disease in Africa. Our study also showed that non-physician healthcare workers in Africa can engage in diverse roles when tasks are shifted to them suggesting that task shifted roles can be used to fill gaps from HRH shortages for NCD care in Africa.

According to the WHO [59], NCDs are responsible for 41 million deaths annually, equivalent to 71% of all deaths globally with CV diseases accounting for 17.9 million of these deaths. Detection, screening, and treatment of NCDs, as well as palliative care, are key components of the response to NCDs. The burden of disease in Africa is largely dominated by communicable diseases and those that largely affect maternal and child health [60, 61]. However, as countries continue to undergo demographic transitions, increasing NCD prevalence has been documented in Africa [59,60,61]. In a study that used Global Burden of Disease (GBD) data to assess the trends in NCD prevalence in sub-Saharan Africa (SSA), disability adjusted life years (DALYs) due to NCDs increased by 67·0% between 1990 (90·6 million [95% UI 81·0–101·9]) and 2017 (151·3 million [133·4–171·8]) [61]. Cardiovascular diseases were the second leading cause of NCD burden in SSA in 2017, resulting in 22·9 million (21·5–24·3) DALYs [61].

Africa lacks the physician workforce capacity to adequately address the current or projected burden of NCDs and to implement UHC. In a 2016 document of the WHO that addressed global workforce capacity, Africa had the lowest number of physicians (0.3 per 1000 population) compared to other regions or global average (1.4 per 1000 population) [25]. However, what Africa lacks in physician numbers is made up for in the number of other health workers (Table 3) [25]. Africa has the highest population weighted density ratio of nurses/midwives-to-physicians (4.0; compared to other regions [range: 1.7 to 2.3]) and also has the highest ratio for other cadres of healthcare workers-to-physicians (2.3; compared to other regions [range: 1.1 to 2.0]) [25]. This suggests an important role for non-physician healthcare workers in closing the gaps in care provision in the region due to low number of physicians on the continent.

Table 3 Population-weighted density of health workers (per 1000 population) by cadre

This study showed that although all cadres of non-physician health workers participated in the delivery of task shifted interventions, the effectiveness was relatively higher when provided by workers with higher levels of education (e.g., nurses and pharmacists). There was increased reporting of outcomes for tasks shifted to every category of healthcare worker assessed in this study, even though the number of studies were fewer for all categories except nurses.. Nurses are well positioned to detect, treat and refer people with NCDs as well as to provide information, education and counselling to the public on prevention of NCDs given that they are usually the point of first contact. A WHO high-level commission on NCDs has recommended that for health systems to be reoriented for chronic disease management, nurses are uniquely placed to act as effective practitioners, health coaches, spokespersons, and health educators for patients and families throughout the life course [62]. One study from India compared the performance of nurses with doctors to determine which skills are required for NCD care delivery. Despite a lower baseline, nurses had a similar attrition in knowledge after training compared to doctors implying that nurses can be trained to deliver NCD care similar to the level provided by doctors [63]. One of the included study that assessed BP management by nurse-led and clinical officer-managed patients in Kenya did not find significant differences in BP slopes after 3 months (nurse-managed patients: slope –4.95 mmHg/month; clinical officer-managed patients: slope –5.28 mmHg/month; P = 0.40) [50].

Our study also demonstrated the importance of other cadres of healthcare workers (pharmacists and CHWs) in NCD awareness and management as pharmacist-led programs had the highest rates of hypertension awareness (83.3%) while CHW-led programs had the highest detection rate of diabetes mellitus (100%) (Table 2 and Fig. 3). Our study findings have implications for NCD detection and management in Africa. In a regional modelling analysis[64] of contributions to preventable premature deaths in countries that have agreed to a WHO Global Action Plan for the prevention and control of NCDs 2013–2020 [65], it was reported that if current levels of prevention continued, the probability of premature mortality from four NCDs (CVD, cancers, chronic respiratory diseases and diabetes) will increase in the African region but decrease in other regions [64]. It was therefore suggested that Africa needs more aggressive interventions to combat NCDs [31]. As our study shows, task shifting initiatives could be leveraged to close the gaps in HRH shortages and improve NCD detection, awareness, and management in the region.

Furthermore, Africa has the highest gaps in the proportion of people with kidney failure needing dialysis but unable to receive it[66] and an extremely high mortality rate in adults and children with kidney failure [67]. Although cost plays a pivotal role in the care disparities and outcomes of kidney failure patients [3], very low nephrologist density has been linked to poor outcomes in the region [4, 68]. Early NCD identification with appropriate interventions (e.g., education, counselling, pharmacotherapies, etc.) delivered by non-physician healthcare workers can modify these outcomes in the region [69, 70].

There are several advantages of task shifting, including opportunity to provide accredited and standardized pre-service and in-service training to healthcare workers [11, 58], more cost-effective and quicker addition to the competencies of experienced health workers [11], increased opportunities for patients to receive care nearer home [57], enhance the primary care model of health services, reduce the burden on tertiary care, and improve referral systems. Such strategies may also come in handy in tackling public health emergencies such as pandemics, natural disasters, and re-emerging infectious diseases which remain a huge challenge in the region [71]. However, for task shifting initiatives to be successful, they should be designed and implemented with an understanding of disease burden [72], healthcare system context [3], known barriers [73], and integrated chronic disease models [74, 75]. Health system strengthening, restructuring, appropriate training, and health-care regulation are necessary prerequisites for task shifting initiatives to yield desirable results [3, 76]. For instance, task shifting for a hypertension program can be implemented using guideline concordant hypertension triage and treatment algorithms integrated with HIV care at the primary healthcare level [15]. Similarly, task shifting for kidney disease could include use of guideline concordant methods to train other cadres of health workers on referral to nephrology, for implementing quality improvement initiatives, participate in clinic tasks (e.g., urinalysis) [77], use of protocols to initiate fluid therapies in cases of community acquired AKI [78], and guideline-based checklists for management of early-stage CKD [79]. This will require in- service training, supportive supervision, and expansion of job descriptions given that barriers to task shifting may include interprofessional staff conflicts [19, 80], poor organizational leadership structures [81], professional protectionism (e.g., physicians may feel that their profession is being invaded by others) [82], malpractice, quackery [20], and issues of professional boundaries and regulations (i.e., workers may feel they won’t have legal protection for additional tasks if something went wrong). Other areas of contention include poor wages and working conditions (i.e., unwillingness to be deployed to remote areas where shortage is highest), prohibitive policies and laws (e.g., laws that prevent lower-level cadres from carrying out particular tasks), and working outside of regulated practice (with possible adverse patient outcomes) [83].

Enabling task shifting initiatives will require potent HRH policies across countries in the region. In 2012, a WHO roadmap for scaling up health workforce was endorsed by African Health Ministers and included: (i) developing health workforce policies and strategies; (ii) ensuring that all countries have increased their health workforce to a minimum density threshold of 2.3 per 1000 population; (iii) maintaining an appropriate skill mix of health workers with population-relevant competences; (iv) ensuring equitable redeployment and distribution of the health workforce; and (v) measures to attract and retain health professionals (e.g., improving remuneration, working and living conditions) [84]. However, by 2015, only 36% of countries in the African Region had a policy for HRH, although 72% had a strategic plan for HRH suggesting more efforts are still needed to ensure that such polices are implemented to reduce shortages in HRH and increase the possibilities of attaining UHC goals [85]. Implementing WHO strategies on HRH targets for 2030[7] which includes (i) optimizing performance, quality, and impact of the HRH through evidence-informed policies and strengthened health systems at all levels; (ii) aligning investment in HRH with the current and future needs of the population and health systems, (iii) building the capacity of institutions at subnational, national, regional, and global levels for effective public policy stewardship, leadership, and governance of actions on HRH; and (iv) strengthening data on HRH for monitoring and accountability of national and regional strategies will ensure that gaps in health workforce in Africa can be mitigated.

We identified some limitations to this study, including the low number of studies from most countries, low sample size of included studies and use of studies published in only the English language which could have excluded studies from francophone countries in the region. Only South Africa had sufficient numbers of studies and the largest sample size to increase the applicability of our observations; four countries had only one study included with sample sizes ranging from 104 to 4,300. Another limitation of this study is the availability of a single study to evaluate the impact of task shifting strategies on kidney outcomes. This again limits our ability to draw firm inferences on the effectiveness of such strategies for kidney care on the continent. However, given that the study showed task shifting to be useful in identifying AKI cases suggesting that such strategies could be employed for improving care and outcomes. Although none of the included studies reported any negative or unintended consequences occurring from task shifting strategies, such consequences have sometimes been reported when task shifting initiatives are utilized [83]. This can also be viewed as a limitation of this study given that our study design did not include qualitative studies which are more likely to highlight such events [20]. Even though it is possible that there were no such effects, being able to balance the risks and efficacy of task shifting for CV and kidney care could assist policy development on scope of work when task shifting strategies are employed. Notwithstanding these limitations, this study shows that task shifting strategies can be implemented in Africa for NCD detection and management.

Conclusion

Despite the large-scale HRH challenges that are present in Africa for CV and kidney health, our data shows that task shifting initiatives can improve process of care measures such as (i) access to healthcare and efficient triage; (ii) improve risk identification; (iii) improve disease awareness; and (iv) improve treatment and management of CV and kidney disease in the region. The impact of task shifting on kidney and CV health on long term outcomes, population-level control and sustainability of programs remain to be determined. These findings have implications on the design of NCD programs for implementation of task shifting in workforce across the region or expansion of the current programs.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AKI:

Acute kidney injury

BMI:

Body mass index

BP:

Blood pressure

CHW:

Community health workers

CV:

Cardiovascular

DALY:

Disability adjusted life years.

HIV:

Human immunodeficiency virus

HRH:

Human resources for health

IQR:

Interquartile range

LMICs:

Low-income and lower middle-income countries

NCDs:

Non-communicable diseases

RCTs:

Randomized controlled trials.

SSA:

Sub-Saharan Africa

UHC:

Universal Health Coverage

WHO:

World health organization

References

  1. Anyangwe SCE, Mtonga C. Inequities in the global health workforce: the greatest impediment to health in Sub-Saharan Africa. Int J Environ Res Public Health. 2007;4(2):93–100.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Oguejiofor F, Kiggundu DS, Bello AK, Swanepoel CR, Ashuntantang G, Jha V, Harris DCH, Levin A, Tonelli M, Niang A, et al. International Society of Nephrology Global Kidney Health Atlas: structures, organization, and services for the management of kidney failure in Africa. Kidney Int Suppl (2011). 2021;11(2):e11–23.

    Article  PubMed  Google Scholar 

  3. Okpechi IG, Bello AK, Luyckx VA, Wearne N, Swanepoel CR, Jha V. Building optimal and sustainable kidney care in low resource settings: The role of healthcare systems. Nephrology (Carlton). 2021;26(12):948–60.

    Article  PubMed  Google Scholar 

  4. Riaz P, Caskey F, McIsaac M, Davids R, Htay H, Jha V, Jindal K, Jun M, Khan M, Levin A, et al. Workforce capacity for the care of patients with kidney failure across world countries and regions BMJ Glob. Health. 2021;6(1):e004014.

    Google Scholar 

  5. A universal truth: no health without a workforce. Forum Report, Third Global Forum on Human Resources for Health, Recife, Brazil. Geneva, Global Health Workforce Alliance and World Health Organization [https://www.who.int/workforcealliance/knowledge/resources/hrhreport2013/en/]

  6. Collins FS, Glass RI, Whitescarver J, Wakefield M, Goosby EP. Public health Zdeveloping health workforce capacity in Africa. Science (New York, NY). 2010;330(6009):1324–5.

    Article  CAS  Google Scholar 

  7. Global strategy on human resources for health: workforce 2030 [https://apps.who.int/iris/handle/10665/250368]

  8. Kinfu Y, Dal Poz MR, Mercer H, Evans DB. The health worker shortage in Africa: are enough physicians and nurses being trained? Bull World Health Organ. 2009;87(3):225–30.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Naicker S, Plange-Rhule J, Tutt RC, Eastwood JB. Shortage of healthcare workers in developing countries–Africa. Ethn Dis. 2009;19(1):60.

    Google Scholar 

  10. Okpechi IG, Eddy AA, Jha V, Jacob T, Dupuis S, Harris DC. Impact of training nephrologists from developing nations and strategies for sustaining a training program in its fourth decade. Kidney Int. 2021;99(5):1073–6.

    Article  PubMed  Google Scholar 

  11. Task Shifting Global Recommendations and Guidelines [http://www.who.int/healthsystems/TTR-TaskShifting.pdf]

  12. Callaghan M, Ford N, Schneider H. A systematic review of task- shifting for HIV treatment and care in Africa. Hum Resour Health. 2010;8:8.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Peresu E, Heunis JC, Kigozi NG, De Graeve D. Task-shifting directly observed treatment and multidrug-resistant tuberculosis injection administration to lay health workers: stakeholder perceptions in rural Eswatini. Hum Resour Health. 2020;18(1):97.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Adeoti O, Spiegelman D, Afonne C, Falade CO, Jegede AS, Oshiname FO, Gomes M, Ajayi IO. The fidelity of implementation of recommended care for children with malaria by community health workers in Nigeria. Implementation science : IS. 2020;15(1):13.

    Article  PubMed  PubMed Central  Google Scholar 

  15. McCombe G, Lim J, Hout MCV, Lazarus JV, Bachmann M, Jaffar S, Garrib A, Ramaiya K, Sewankambo NK, Mfinanga S, et al. Integrating care for diabetes and hypertension with HIV care in Sub-Saharan Africa: a scoping review. Int J Integr Care. 2022;22(1):6.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Maria JL, Anand TN, Dona B, Prinu J, Prabhakaran D, Jeemon P. Task-sharing interventions for improving control of diabetes in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Glob Health. 2021;9(2):e170–80.

    Article  CAS  PubMed  Google Scholar 

  17. Anand TN, Joseph LM, Geetha AV, Prabhakaran D, Jeemon P. Task sharing with non-physician health-care workers for management of blood pressure in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Glob Health. 2019;7(6):e761–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Noubiap JJ, Bigna JJ, Ndoadoumgue AL, Ekrikpo U, Nkeck J, Udosen A, Tankeu R, Kumar K, Bello A, Okpechi I. Socioeconomic determinants, regional differences, and quality of nephrology research in Africa. Kidney international reports. 2020;5(10):1805–10.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Olajide AT, Asuzu MC, Obembe TA. Doctor-nurse conflict in Nigerian hospitals: causes and modes of expression. Br J Med Med Res. 2015;9(10):1–12.

    Article  Google Scholar 

  20. Sriram V, Hariyani S, Lalani U, Buddhiraju RT, Pandey P, Bennett S. Stakeholder perspectives on proposed policies to improve distribution and retention of doctors in rural areas of Uttar Pradesh, India. BMC Health Serv Res. 2021;21(1):1027.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, Moher D, Peters MDJ, Horsley T, Weeks L, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.

    Article  PubMed  Google Scholar 

  22. Peters MD, Marnie C, Tricco AC, Pollock D, Munn Z, Alexander L, McInerney P, Godfrey CM, Khalil H. Updated methodological guidance for the conduct of scoping reviews. JBI Ev Synth. 2020;18(10):2119–26.

    Article  Google Scholar 

  23. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol: Theory Pract. 2005;8(1):19–32.

    Article  Google Scholar 

  24. Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implementation science : IS. 2010;5:69.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Health workforce requirements for universal health coverage and the Sustainable Development Goals. (Human Resources for Health Observer, 17). [https://apps.who.int/iris/handle/10665/250330]

  26. Coleman R, Gill G, Wilkinson D. Noncommunicable disease management in resource-poor settings: a primary care model from rural South Africa. Bull World Health Organ. 1998;76(6):633–40.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Gill GV, Price C, Shandu D, Dedicoat M, Wilkinson D. An effective system of nurse-led diabetes care in rural Africa. Diabeti Med : J British Diabet Assoc. 2008;25(5):606–11.

    Article  CAS  Google Scholar 

  28. Price C, Shandu D, Dedicoat M, Wilkinson D, Gill GV. Long-term glycaemic outcome of structured nurse-led diabetes care in rural Africa. QJM. 2011;104(7):571–4.

    Article  CAS  PubMed  Google Scholar 

  29. Mash RJ, Rhode H, Zwarenstein M, Rollnick S, Lombard C, Steyn K, Levitt N. Effectiveness of a group diabetes education programme in under-served communities in South Africa: a pragmatic cluster randomized controlled trial. Diabet Med : J British Diabet Assoc. 2014;31(8):987–93.

    Article  CAS  Google Scholar 

  30. Muchiri JW, Gericke GJ, Rheeder P. Effect of a nutrition education programme on clinical status and dietary behaviours of adults with type 2 diabetes in a resource-limited setting in South Africa: a randomised controlled trial. Public Health Nutr. 2016;19(1):142–55.

    Article  PubMed  Google Scholar 

  31. Fairall LR, Folb N, Timmerman V, Lombard C, Steyn K, Bachmann MO, Bateman ED, Lund C, Cornick R, Faris G, et al. Educational outreach with an integrated clinical tool for nurse-led non-communicable chronic disease management in primary care in South Africa: a pragmatic cluster randomised controlled trial. PLoS Med. 2016;13(11):e1002178.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Morris-Paxton AA, Rheeder P, Ewing RG, Woods D. Detection, referral and control of diabetes and hypertension in the rural Eastern Cape Province of South Africa by community health outreach workers in the rural primary healthcare project: Health in Every Hut. Afr J Prim Health Care Fam Med. 2018;10(1):e1–8.

    Article  PubMed  Google Scholar 

  33. Rampamba EM, Meyer JC, Helberg EA, Godman B. Empowering hypertensive patients in South Africa to improve their disease management: a pharmacist-led intervention. J Res Pharm Pract. 2019;8(4):208–13.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Madela S, James S, Sewpaul R, Madela S, Reddy P. Early detection, care and control of hypertension and diabetes in South Africa: a community-based approach. Afr J Prim Health Care Fam Med. 2020;12(1):e1–9.

    Article  PubMed  Google Scholar 

  35. Sharp A, Riches N, Mims A, Ntshalintshali S, McConalogue D, Southworth P, Pierce C, Daniels P, Kalungero M, Ndzinisa F, et al. Decentralising NCD management in rural southern Africa: evaluation of a pilot implementation study. BMC Public Health. 2020;20(1):44.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Oparah AC, Adje DU, Enato EF. Outcomes of pharmaceutical care intervention to hypertensive patients in a Nigerian community pharmacy. Int J Pharm Pract. 2006;14(2):115–22.

    Article  Google Scholar 

  37. Adeyemo A, Tayo BO, Luke A, Ogedegbe O, Durazo-Arvizu R, Cooper RS. The Nigerian antihypertensive adherence trial: a community-based randomized trial. J Hypertens. 2013;31(1):201–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Nelissen HE, Cremers AL, Okwor TJ, Kool S, van Leth F, Brewster L, Makinde O, Gerrets R, Hendriks ME, Schultsz C, et al. Pharmacy-based hypertension care employing mHealth in Lagos, Nigeria - a mixed methods feasibility study. BMC Health Serv Res. 2018;18(1):934.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Ozoemena EL, Iweama CN, Agbaje OS, Umoke PCI, Ene OC, Ofili PC, Agu BN, Orisa CU, Agu M, Anthony E. Effects of a health education intervention on hypertension-related knowledge, prevention and self-care practices in Nigerian retirees: a quasi-experimental study. Arch Public Health. 2019;77:23.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Amadi C, Lawal F, Ajiboye W, Agbim R, Mbakwem A, Ajuluchukwu J, Oke DA. Opportunistic screening of cardiovascular disease risk factors in community pharmacies in Nigeria: a cross-sectional study. Int J Clin Pharm. 2020;42(6):1469–79.

    Article  PubMed  Google Scholar 

  41. Ojji DB, Baldridge AS, Orji AI, Shedul LG, Ojji OI, Egenti NB, Nwankwo AM, Huffman MD. Feasibility and effect of community health worker support and home monitoring for blood pressure control in Nigeria: a randomised pilot trial. Cardiovasc J Afr. 2020;31(3):213–5.

    PubMed  Google Scholar 

  42. Onyinye UKB, Ogochukwu AM, Victoria UC. Effect of a pharmacist intervention on self management practices among hypertensive-diabetic patients receiving care in A Nigerian tertiary hospital international. J Pharm Pharmaceu Sci. 2021;13(5):58–61.

    Google Scholar 

  43. Sarfo FS, Treiber F, Gebregziabher M, Adamu S, Nichols M, Singh A, Obese V, Sarfo-Kantanka O, Sakyi A, Adu-Darko N, et al. Phone-based intervention for blood pressure control among Ghanaian stroke survivors: A pilot randomized controlled trial. Int J Stroke. 2019;14(6):630–8.

    Article  PubMed  Google Scholar 

  44. Marfo AF, Owusu-Daaku FT. Evaluation of a pharmacist-led hypertension preventative and detection service in the Ghanaian community pharmacy: an exploratory study. Int J Pharm Pract. 2016;24(5):341–8.

    Article  PubMed  Google Scholar 

  45. Ogedegbe G, Plange-Rhule J, Gyamfi J, Chaplin W, Ntim M, Apusiga K, Iwelunmor J, Awudzi KY, Quakyi KN, Mogaverro J, et al. Health insurance coverage with or without a nurse-led task shifting strategy for hypertension control: A pragmatic cluster randomized trial in Ghana. PLoS Med. 2018;15(5):e1002561.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Adler AJ, Laar A, Prieto-Merino D, Der RMM, Mangortey D, Dirks R, Lamptey P, Perel P. Can a nurse-led community-based model of hypertension care improve hypertension control in Ghana? Results from the ComHIP cohort study. BMJ Open. 2019;9(4):e026799.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Some D, Edwards JK, Reid T, Van den Bergh R, Kosgei RJ, Wilkinson E, Baruani B, Kizito W, Khabala K, Shah S, et al. Task shifting the management of non-communicable diseases to nurses in Kibera, Kenya: does it work? PLoS ONE. 2016;11(1):e0145634.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Mannik J, Figol A, Churchill V, Aw J, Francis S, Karino E, Chesire JK, Opot D, Ochieng B, Hawkes MT. Community-based screening for cardiovascular risk using a novel mHealth tool in rural Kenya. J Innov Health Inform. 2018;25(3):176–82.

    PubMed  Google Scholar 

  49. Vedanthan R, Kamano JH, DeLong AK, Naanyu V, Binanay CA, Bloomfield GS, Chrysanthopoulou SA, Finkelstein EA, Hogan JW, Horowitz CR, et al. Community health workers improve linkage to hypertension care in Western Kenya. J Am Coll Cardiol. 2019;74(15):1897–906.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Vedanthan R, Kumar A, Kamano JH, Chang H, Raymond S, Too K, Tulienge D, Wambui C, Bagiella E, Fuster V, et al. Effect of nurse-based management of hypertension in rural Western Kenya. Glob Heart. 2020;15(1):77.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Kengne AP, Fezeu L, Sobngwi E, Awah PK, Aspray TJ, Unwin NC, Mbanya JC. Type 2 diabetes management in nurse-led primary healthcare settings in urban and rural Cameroon. Prim Care Diabetes. 2009;3(3):181–8.

    Article  PubMed  Google Scholar 

  52. Kengne AP, Awah PK, Fezeu LL, Sobngwi E, Mbanya JC. Primary health care for hypertension by nurses in rural and urban sub-Saharan Africa. J Clin Hypertens (Greenwich). 2009;11(10):564–72.

    Article  PubMed  Google Scholar 

  53. Labhardt ND, Balo JR, Ndam M, Grimm JJ, Manga E. Task shifting to non-physician clinicians for integrated management of hypertension and diabetes in rural Cameroon: a programme assessment at two years. BMC Health Serv Res. 2010;10:339.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Lulebo AM, Kaba DK, Atake SE, Mapatano MA, Mafuta EM, Mampunza JM, Coppieters Y. Task shifting in the management of hypertension in Kinshasa, democratic republic of Congo: a cross-sectional study. BMC Health Serv Res. 2017;17(Suppl 2):698.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Hailu FB, Hjortdahl P, Moen A. Nurse-led diabetes self-management education improves clinical parameters in Ethiopia. Front Public Health. 2018;6:302.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Kirwan CJ, Wright K, Banda P, Chick A, Mtekateka M, Banda E, Kawale Z, Evans R, Dobbie H, Dreyer G. A nurse-led intervention improves detection and management of AKI in Malawi. J Ren Care. 2016;42(4):196–204.

    Article  PubMed  Google Scholar 

  57. Ngoga G, Park PH, Borg R, Bukhman G, Ali E, Munyaneza F, Tapela N, Rusingiza E, Edwards JK, Hedt-Gauthier B. Outcomes of decentralizing hypertension care from district hospitals to health centers in Rwanda, 2013–2014. Public Health Action. 2019;9(4):142–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Stephens JH, Addepalli A, Chaudhuri S, Niyonzima A, Musominali S, Uwamungu JC, Paccione GA. Chronic Disease in the Community (CDCom) program: hypertension and non-communicable disease care by village health workers in rural Uganda. PLoS ONE. 2021;16(2):e0247464.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Non-Communicable Diseases [https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases]

  60. Bygbjerg IC. Double burden of noncommunicable and infectious diseases in developing countries. Science (New York, NY). 2012;337(6101):1499–501.

    Article  CAS  Google Scholar 

  61. Gouda HN, Charlson F, Sorsdahl K, Ahmadzada S, Ferrari AJ, Erskine H, Leung J, Santamauro D, Lund C, Aminde LN, et al. Burden of non-communicable diseases in sub-Saharan Africa, 1990–2017: results from the global burden of disease study 2017. Lancet Glob Health. 2019;7(10):e1375–87.

    Article  PubMed  Google Scholar 

  62. Nishtar S, Niinistö S, Sirisena M, Vázquez T, Skvortsova V, Rubinstein A, Mogae FG, Mattila P, GhazizadehHashemi SH, Kariuki S, et al. Time to deliver: report of the WHO independent high-level commission on NCDs. Lancet (London, England). 2018;392(10143):245–52.

    Article  PubMed  Google Scholar 

  63. Joshi R, Pakhare A, Kumar S, Khadanga S, Joshi A. Improving the capacity of nurses for non-communicable disease service delivery in India: how do they fare in comparison to doctors? Educ Prim Care. 2019;30(4):230–6.

    Article  PubMed  Google Scholar 

  64. Kontis V, Mathers CD, Bonita R, Stevens GA, Rehm J, Shield KD, Riley LM, Poznyak V, Jabbour S, Garg RM, et al. Regional contributions of six preventable risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: a modelling study. Lancet Glob Health. 2015;3(12):e746-757.

    Article  PubMed  Google Scholar 

  65. Global action plan for the prevention and control of noncommunicable diseases 2013–2020 [https://www.who.int/publications/i/item/9789241506236]

  66. Liyanage T, Ninomiya T, Jha V, Neal B, Patrice HM, Okpechi I, Zhao MH, Lv J, Garg AX, Knight J, et al. Worldwide access to treatment for end-stage kidney disease: a systematic review. The Lancet. 2015;385(9981):1975–82.

    Article  Google Scholar 

  67. Ashuntantang G, Osafo C, Olowu WA, Arogundade F, Niang A, Porter J, Naicker S, Luyckx VA. Outcomes in adults and children with end-stage kidney disease requiring dialysis in sub-Saharan Africa: a systematic review. Lancet Glob Health. 2017;5(4):e408–17.

    Article  PubMed  Google Scholar 

  68. Bello AK, Levin A, Lunney M, Osman MA, Ye F, Ashuntantang GE, Bellorin-Font E, BenghanemGharbi M, Davison SN, Ghnaimat M, et al. Status of care for end stage kidney disease in countries and regions worldwide: international cross sectional survey. BMJ. 2019;367:l5873.

    Article  PubMed  Google Scholar 

  69. George C, Mogueo A, Okpechi I, Echouffo-Tcheugui JB, Kengne AP. Chronic kidney disease in low-income to middle-income countries: the case for increased screening. BMJ Glob Health. 2017;2(2):e000256.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Okpechi IG, Caskey FJ, Gaipov A, Tannor EK, Noubiap JJ, Effa E, Ekrikpo UE, Hamonic LN, Ashuntantang G, Bello AK. Early identification of chronic kidney disease–a scoping review of the global populations. Kidney Int Rep. 2022;7(6):1341–53.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Okoroafor SC, Asamani JA, Kabego L, Ahmat A, Nyoni J, Millogo JJS, Illou MMA, Mwinga K. Preparing the health workforce for future public health emergencies in Africa. BMJ Glob Health. 2022;7(Suppl 1):e008327. https://doi.org/10.1136/bmjgh-2021-008327.

  72. Allen LN, Wigley S, Holmer H. Implementation of non-communicable disease policies from 2015 to 2020: a geopolitical analysis of 194 countries. Lancet Glob Health. 2021;9(11):e1528–38.

    Article  CAS  PubMed  Google Scholar 

  73. Karimi-Shahanjarini A, Shakibazadeh E, Rashidian A, Hajimiri K, Glenton C, Noyes J, Lewin S, Laurant M, Colvin CJ. Barriers and facilitators to the implementation of doctor-nurse substitution strategies in primary care: a qualitative evidence synthesis. The Cochrane database Syst Rev. 2019;4(4):010412.

    Google Scholar 

  74. Oni T, McGrath N, BeLue R, Roderick P, Colagiuri S, May CR, Levitt NS. Chronic diseases and multi-morbidity–a conceptual modification to the WHO ICCC model for countries in health transition. BMC Public Health. 2014;14:575.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Matima R, Murphy K, Levitt NS, BeLue R, Oni T. A qualitative study on the experiences and perspectives of public sector patients in Cape Town in managing the workload of demands of HIV and type 2 diabetes multimorbidity. PLoS ONE. 2018;13(3):e0194191.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Maphumulo WT, Bhengu BR. Challenges of quality improvement in the healthcare of South Africa post-apartheid: A critical review. Curationis. 2019;42(1):e1–9.

    Article  PubMed  Google Scholar 

  77. Lammers RL, Gibson S, Kovacs D, Sears W, Strachan G. Comparison of test characteristics of urine dipstick and urinalysis at various test cutoff points. Ann Emerg Med. 2001;38(5):505–12.

    Article  CAS  PubMed  Google Scholar 

  78. Macedo E, Hemmila U, Sharma SK, Claure-Del Granado R, Mzinganjira H, Burdmann EA, Cerdá J, Feehally J, Finkelstein F, García-García G, et al. Recognition and management of community-acquired acute kidney injury in low-resource settings in the ISN 0by25 trial: a multi-country feasibility study. PLoS Med. 2021;18(1):1–19.

    Article  Google Scholar 

  79. Mendu ML, Schneider LI, Aizer AA, Singh K, Leaf DE, Lee TH, Waikar SS. Implementation of a CKD checklist for primary care providers. Clin J Am Soc Nephrol : CJASN. 2014;9(9):1526–35.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Limbani F, Thorogood M, Gómez-Olivé FX, Kabudula C, Goudge J. Task shifting to improve the provision of integrated chronic care: realist evaluation of a lay health worker intervention in rural South Africa. BMJ Glob Health. 2019;4(1):e001084.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Obembe TA, Olajide AT, Asuzu MC. Managerial dynamics influencing doctor-nurse conflicts in two Nigerian hospitals. J Family Med Prim Care. 2018;7(4):684–92.

    Article  PubMed  PubMed Central  Google Scholar 

  82. Amref Health Africa’s Position Statement on Task Shifting. [https://amref.org/position-statements/amref-health-africas-position-statement-on-task-shifting-3/]

  83. van de Ruit C. Unintended consequences of community health worker programs in South Africa. Qual Health Res. 2019;29(11):1535–48.

    Article  PubMed  Google Scholar 

  84. WHO Regional Committee for Africa: Road map for scaling up the human resources for health for improved health service delivery in the African Region 2012–2025 (Document AFR/RC62/7). In. Brazzaville: World Health Organization. Regional Office for Africa; 2012.

  85. Afriyie DO, Nyoni J, Ahmat A. The state of strategic plans for the health workforce in Africa. BMJ Glob Health. 2019;4(Suppl 9):e001115.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

None

Funding

This study was funded by grant from the International Society of Nephrology (ISN) Sister Renal Centre Program (Sokoto-Cape Town; Fund number: Not Applicable). The ISN had no role in the design, data collection, analysis, or interpretation of this work.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: IGO and IIC were responsible for the conception and design of the work. Funding acquisition: IGO was responsible for funding acquisition. Methodology: IGO; IIC; UE; YRR; and JJN participated in the design of the study methodology. Data Analysis: UE was responsible for the data analysis for this study. Project administration: IGO is responsible for this project’s administration. Writing – original draft: IGO and AKB were responsible for the original draft of this work. Writing – review and editing: IGO; IIC; UE; YR; SA; BD; EE; SF; CG; APK; ESWJ; YA; HL; MM; HM; IM; KN; GN; JJN; CO; US-O; EKT; IU; ZU; NW; and AKB participated in review, editing and re-writing of the final manuscript. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Ikechi G. Okpechi.

Ethics declarations

Ethics approval and consent to participate

Not required.

Consent for publication

Not applicable.

Competing interests

None.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

Supplementary Table S1. Search strategy. Supplementary Table S2. Summary of studies aims, interventions, results, and conclusions. Supplementary Table S3. Features of included studies by country.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Okpechi, I.G., Chukwuonye, I.I., Ekrikpo, U. et al. Task shifting roles, interventions and outcomes for kidney and cardiovascular health service delivery among African populations: a scoping review. BMC Health Serv Res 23, 446 (2023). https://doi.org/10.1186/s12913-023-09416-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-023-09416-5

Keywords