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      Expanding Community Health Worker decision space: learning from a Participatory Action Research training intervention in a rural South African district

      research-article
      1 , 2 , 3 , 4 , 5 , , 6 , 1 , 2 , 7 , 1 , 2 , 8 , 9 , 9 , 10 , the Verbal Autopsy with Participatory Action Research (VAPAR)/Wits/Mpumalanga Department of Health Learning Platform
      Human Resources for Health
      BioMed Central
      Community Health Workers, Participatory Action Research, Decision space, South Africa

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          Abstract

          Background

          While integral to decentralising health reforms, Community Health Workers (CHWs) in South Africa experience many challenges. During COVID-19, CHW roles changed rapidly, shifting from communities to clinics. In the contexts of new roles and re-engineered primary healthcare (PHC), the objectives were to: (a) implement a training intervention to support local decision-making capability of CHWs; and (b) assess learning and impacts from the perspectives of CHWs.

          Methods

          CHWs from three rural villages ( n = 9) were trained in rapid Participatory Action Research (PAR) with peers and community stakeholders ( n = 33). Training equipped CHWs with tools and techniques to convene community groups, raise and/or respond to local health concerns, understand concerns from different perspectives, and facilitate action in communities and public services. CHWs’ perspectives before and after the intervention were gained through semi-structured interviews. Data were collected and analysed using the decision space framework to understand local actors’ power to affect devolved decision-making.

          Results

          CHWs demonstrated significant resilience and commitment in the face of COVID-19. They experienced multiple, intersecting challenges including: limited financial, logistical and health systems support, poor role clarity, precarious employment, low and no pay, unstable organisational capacity, fragile accountability mechanisms and belittling treatment in clinics. Together, these restricted decision space and were seen to reflect a low valuing of the cadre in the system. CHWs saw the training as a welcome opportunity to assert themselves as a recognised cadre. Regular, spaces for dialogue and mutual learning supported CHWs to gain tools and skills to rework their agency in more empowered ways. The training improved management capacity, capabilities for dialogue, which expanded role clarity, and strengthened community mobilisation, facilitation and analysis skills. Development of public speaking skills was especially valued. CHWs reported an overall ‘tripe-benefit’ from the training: community-acceptance; peer support; and dialogue with and recognition by the system. The training intervention was recommended for scale-up by the health authority as an implementation support strategy for PHC.

          Conclusions

          Lack of recognition of CHWs is coupled with limited opportunities for communication and trust-building. The training supported CHWs to find and amplify their voices in strategic partnerships, and helped build functionality for local decision-making.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12960-023-00853-1.

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          Most cited references46

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          Syndemics and the biosocial conception of health.

          The syndemics model of health focuses on the biosocial complex, which consists of interacting, co-present, or sequential diseases and the social and environmental factors that promote and enhance the negative effects of disease interaction. This emergent approach to health conception and clinical practice reconfigures conventional historical understanding of diseases as distinct entities in nature, separate from other diseases and independent of the social contexts in which they are found. Rather, all of these factors tend to interact synergistically in various and consequential ways, having a substantial impact on the health of individuals and whole populations. Specifically, a syndemics approach examines why certain diseases cluster (ie, multiple diseases affecting individuals and groups); the pathways through which they interact biologically in individuals and within populations, and thereby multiply their overall disease burden, and the ways in which social environments, especially conditions of social inequality and injustice, contribute to disease clustering and interaction as well as to vulnerability. In this Series, the contributions of the syndemics approach for understanding both interacting chronic diseases in social context, and the implications of a syndemics orientation to the issue of health rights, are examined.
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            Profile: Agincourt Health and Socio-demographic Surveillance System

            The Agincourt health and socio-demographic surveillance system (HDSS), located in rural northeast South Africa close to the Mozambique border, was established in 1992 to support district health systems development led by the post-apartheid ministry of health. The HDSS (90 000 people), based on an annual update of resident status and vital events, now supports multiple investigations into the causes and consequences of complex health, population and social transitions. Observational work includes cohorts focusing on different stages along the life course, evaluation of national policy at population, household and individual levels and examination of household responses to shocks and stresses and the resulting pathways influencing health and well-being. Trials target children and adolescents, including promoting psycho-social well-being, preventing HIV transmission and reducing metabolic disease risk. Efforts to enhance the research platform include using automated measurement techniques to estimate cause of death by verbal autopsy, full ‘reconciliation’ of in- and out-migrations, follow-up of migrants departing the study area, recording of extra-household social connections and linkage of individual HDSS records with those from sub-district clinics. Fostering effective collaborations (including INDEPTH multi-centre work in adult health and ageing and migration and urbanization), ensuring cross-site compatibility of common variables and optimizing public access to HDSS data are priorities.
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              Analyzing the decentralization of health systems in developing countries: decision space, innovation and performance.

              T Bossert (1998)
              Decentralization has long been advocated as a desirable process for improving health systems. Nevertheless, we still lack a sufficient analytical framework for systematically studying how decentralization can achieve this objective. We do not have adequate means of analyzing the three key elements of decentralization: (1) the amount of choice that is transferred from central institutions to institutions at the periphery of health systems, (2) what choices local officials make with their increased discretion and (3) what effect these choices have on the performance of the health system. This article proposes a framework of analysis that can be used to design and evaluate the decentralization of health systems. It starts from the assumption that decentralization is not an end in itself but rather should be designed and evaluated for its ability to achieve broader objectives of health reform: equity, efficiency, quality and financial soundness. Using a "principal agent" approach as the basic framework, but incorporating insights from public administration, local public choice and social capital approaches, the article presents a decision space approach which defines decentralization in terms of the set of functions and degrees of choice that formally are transferred to local officials. The approach also evaluates the incentives that central government can offer to local decision-makers to encourage them to achieve health objectives. It evaluates the local government characteristics that also influence decision-making and implementation at the local level. Then it determines whether local officials innovate by making choices that are different from those directed by central authorities. Finally, it evaluates whether the local choices have improved the performance of the local health system in achieving the broader health objectives. Examples from Colombia are used to illustrate the approach. The framework will be used to analyze the experience of decentralization in a series of empirical studies in Latin America. The results of these studies should suggest policy recommendations for adjusting decision space and incentives so that localities make decisions that achieve the objectives of health reform.
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                Author and article information

                Contributors
                lucia.dambruoso@abdn.ac.uk
                Journal
                Hum Resour Health
                Hum Resour Health
                Human Resources for Health
                BioMed Central (London )
                1478-4491
                18 August 2023
                18 August 2023
                2023
                : 21
                : 66
                Affiliations
                [1 ]GRID grid.7107.1, ISNI 0000 0004 1936 7291, Aberdeen Centre for Health Data Science, School of Medicine, Medical Sciences and Nutrition, and Centre for Global Development, School of Education, , University of Aberdeen, ; Aberdeen, Scotland, UK
                [2 ]GRID grid.11951.3d, ISNI 0000 0004 1937 1135, MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, , University of the Witwatersrand, ; Johannesburg, South Africa
                [3 ]GRID grid.12650.30, ISNI 0000 0001 1034 3451, Department of Epidemiology and Global Health, , Umeå University, ; Umeå, Sweden
                [4 ]GRID grid.411800.c, ISNI 0000 0001 0237 3845, Public Health, , National Health Service (NHS) Grampian, ; Aberdeen, Scotland, UK
                [5 ]GRID grid.11956.3a, ISNI 0000 0001 2214 904X, Department of Global Health, , Stellenbosch University, ; Stellenbosch, South Africa
                [6 ]GRID grid.9829.a, ISNI 0000000109466120, The University Hospital, , Kwame Nkrumah University of Science and Technology, ; Kumasi, Ghana
                [7 ]GRID grid.415021.3, ISNI 0000 0000 9155 0024, Cochrane South Africa, South African Medical Research Council (MRC), ; Cape Town, South Africa
                [8 ]Maria Van Der Merwe Consulting, White River, South Africa
                [9 ]GRID grid.500584.c, ISNI 0000 0004 5897 9514, Mpumalanga Department of Health, ; Mbombela, South Africa
                [10 ]GRID grid.104846.f, Institute for Global Health and Development, , Queen Margaret University, ; Musselburgh, Scotland, UK
                Author information
                http://orcid.org/0000-0002-8505-3368
                http://orcid.org/0000-0001-8062-4750
                http://orcid.org/0000-0003-4174-2994
                http://orcid.org/0000-0001-7105-8056
                http://orcid.org/0000-0001-6112-921X
                http://orcid.org/0000-0002-7656-6188
                Article
                853
                10.1186/s12960-023-00853-1
                10439531
                37596628
                76676aa3-1772-4289-bd34-49962eb7d76c
                © BioMed Central Ltd., part of Springer Nature 2023

                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.

                History
                : 17 December 2022
                : 8 August 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MR/P014844/1
                Award Recipient :
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                © BioMed Central Ltd., part of Springer Nature 2023

                Health & Social care
                community health workers,participatory action research,decision space,south africa

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