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      The Transformative Impact of Community-Led Monitoring in the South African Health System: A Comprehensive Analysis

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          Abstract

          Objectives: Community-led monitoring (CLM) is an emerging approach that empowers local communities to actively participate in data collection and decision-making processes within the health system. The research aimed to explore stakeholder perceptions of CLM data and establish a CLM Data Value Chain, covering data collection and its impact.

          Methods: Qualitative data were collected from stakeholders engaged in health programs in South Africa. Data analysis involved a collaborative workshop that integrated elements of affinity diagramming, thematic analysis, and the systematic coding process outlined in Giorgi’s method. The workshop fostered joint identification, co-creation of knowledge, and collaborative analysis in developing the data value chain.

          Results: The findings showed that CLM data enabled community-level analysis, fostering program advocacy and local collaboration. It enhanced program redesign, operational efficiency, and rapid response capabilities. Context-specific solutions emerged through the CLM Data Value Chain, promoting sustainable and efficient program implementation.

          Conclusion: CLM is a powerful tool for improving program implementation, quality, and advocacy in South African healthcare. It strengthens accountability, trust, and transparency by involving local communities in data-driven decision-making. CLM addresses context-specific challenges and tailors interventions to local needs.

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          Most cited references51

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          Thematic analysis of qualitative data: AMEE Guide No. 131

          Thematic analysis is a widely used, yet often misunderstood, method of qualitative data analysis. It is a useful and accessible tool for qualitative researchers, but confusion regarding the method's philosophical underpinnings and imprecision in how it has been described have complicated its use and acceptance among researchers. In this Guide, we outline what thematic analysis is, positioning it in relation to other methods of qualitative analysis, and describe when it is appropriate to use the method under a variety of epistemological frameworks. We also provide a detailed definition of a theme, as this term is often misapplied. Next, we describe the most commonly used six-step framework for conducting thematic analysis, illustrating each step using examples from our own research. Finally, we discuss advantages and disadvantages of this method and alert researchers to pitfalls to avoid when using thematic analysis. We aim to highlight thematic analysis as a powerful and flexible method of qualitative analysis and to empower researchers at all levels of experience to conduct thematic analysis in rigorous and thoughtful way.
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            Participatory action research.

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            This glossary aims to clarify some of the key concepts associated with participatory action research.
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              The Theory, Practice, and Evaluation of the Phenomenological Method as a Qualitative Research Procedure

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                Author and article information

                Contributors
                Journal
                Int J Public Health
                Int J Public Health
                Int J Public Health
                International Journal of Public Health
                Frontiers Media S.A.
                1661-8556
                1661-8564
                14 February 2024
                2024
                : 69
                : 1606591
                Affiliations
                [1] 1 The Best Health Solutions , Johannesburg, South Africa
                [2] 2Center for Health Policy, School of Public Health , Faculty of Health Sciences , University of the Witwatersrand , Johannesburg, South Africa
                [3] 3 Networking HIV and AIDS Community of Southern Africa (NACOSA) , Gauteng, South Africa
                [4] 4 Department of Environmental Health , Faculty of Health Sciences , University of Johannesburg , Johannesburg, South Africa
                [5] 5 Rotanganeza Community Care , West Rand, South Africa
                [6] 6 Office of the Premier , Free State, South Africa
                [7] 7 College of Human Sciences , University of South Africa , Pretoria, South Africa
                [8] 8 School of Built Environment and Development Studies , College of Humanities , University of KwaZulu-Natal , Durban, South Africa
                Author notes

                Edited by: Aylene Bousquat, University of São Paulo, Brazil

                Reviewed by: Cristiane Spadacio, University of São Paulo, Brazil

                Amandia Sousa, Leonidas and Maria Deane Institute—Fiocruz, Brazil

                *Correspondence: Ndumiso Tshuma, ndumiso@ 123456besthealthsolutions.co.za ; Daniel Ngbede Elakpa, elakpadaniel1@ 123456gmail.com ; Oliver Mtapuri, mtapurio@ 123456ukzn.ac.za
                [ † ]

                These authors share senior authorship

                Article
                1606591
                10.3389/ijph.2024.1606591
                10899425
                38420516
                98b3df78-dc0f-4c0b-85e6-31f0957ee3b2
                Copyright © 2024 Tshuma, Elakpa, Moyo, Soboyisi, Moyo, Mpofu, Chadyiwa, Malahlela, Tiba, Mnkandla, Ndhlovu, Moruthoane, Mphuthi and Mtapuri.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 September 2023
                : 25 January 2024
                Categories
                Public Health Archive
                Original Article

                Public health
                community-led monitoring,data value chain,human-centered design,affinity diagramming,stakeholders

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