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      “Sickness has no time”: Awareness and perceptions of health care workers on universal health coverage in Uganda

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          Abstract

          Introduction

          Each person having access to needed health services, of sufficient quality, and without suffering financial hardship, defined as universal health coverage (UHC) by the World Health Organization, is critical to improve population health, particularly for vulnerable populations. UHC requires multisectoral collaboration and good governance, and this will require buy-in of key stakeholders; but their views are under-documented. The aim of this stakeholder analysis was to explore the awareness and perceptions of UHC by health care workers (HCWs) in Uganda.

          Methods

          A mixed-methods study was conducted based on primary data from HCWs including an online Qualtrics XM survey of 274 HCWs (from a database of persons who had received training at an academic institution), 23 key informant semi-structured interviews, and one eight-person focus group discussion. Data was collected from February to April 2022. Microsoft Excel and R Programme were used for quantitative analyses and NVivo version 12 for qualitative analyses.

          Results

          HCWs attributed a high level of importance to UHC in Uganda. Participants discussed national communication and management practices, organisational roles, health financing and power dynamics, health care demand and the impact of and learnings from COVID-19. Four main themes–each with related sub-themes–emerged from the interview data providing insights into: (1) communication, (2) organisation, (3) power, and (4) trust.

          Conclusion

          There is a critical need for better communication of UHC targets by policymakers to improve understanding at a grassroots level. Results indicated that ensuring trust among the population through transparency in metrics and budgets, strong accountability measures, awareness of local cultural sensitivities, sensitisation of the UHC concept and community inclusion will be essential for a multisectoral roll out of UHC. Further provision of quality health services, a harmonisation of efforts, increased domestic health financing and investment of HCWs through fair remuneration will need to underpin the delivery of UHC.

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          Most cited references44

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          Sample Size in Qualitative Interview Studies: Guided by Information Power

          Sample sizes must be ascertained in qualitative studies like in quantitative studies but not by the same means. The prevailing concept for sample size in qualitative studies is "saturation." Saturation is closely tied to a specific methodology, and the term is inconsistently applied. We propose the concept "information power" to guide adequate sample size for qualitative studies. Information power indicates that the more information the sample holds, relevant for the actual study, the lower amount of participants is needed. We suggest that the size of a sample with sufficient information power depends on (a) the aim of the study, (b) sample specificity, (c) use of established theory, (d) quality of dialogue, and (e) analysis strategy. We present a model where these elements of information and their relevant dimensions are related to information power. Application of this model in the planning and during data collection of a qualitative study is discussed.
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            The Discovery of Grounded Theory : Strategies for Qualitative Research

            Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Theory, Barney Glaser and Anselm Strauss address the equally Important enterprise of how the discovery of theory from data--systematically obtained and analyzed in social research--can be furthered. The discovery of theory from data--grounded theory--is a major task confronting sociology, for such a theory fits empirical situations, and is understandable to sociologists and laymen alike. Most important, it provides relevant predictions, explanations, interpretations, and applications. In Part I of the book, -Generation Theory by Comparative Analysis, - the authors present a strategy whereby sociologists can facilitate the discovery of grounded theory, both substantive and formal. This strategy involves the systematic choice and study of several comparison groups. In Part II, The Flexible Use of Data, - the generation of theory from qualitative, especially documentary, and quantitative data Is considered. In Part III, -Implications of Grounded Theory, - Glaser and Strauss examine the credibility of grounded theory. The Discovery of Grounded Theory is directed toward improving social scientists' capacity for generating theory that will be relevant to their research. While aimed primarily at sociologists, it will be useful to anyone Interested In studying social phenomena--political, educational, economic, industrial-- especially If their studies are based on qualitative data.
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              Reforming the health sector in developing countries: the central role of policy analysis.

              Policy analysis is an established discipline in the industrialized world, yet its application to developing countries has been limited. The health sector in particular appears to have been neglected. This is surprising because there is a well recognized crisis in health systems, and prescriptions abound of what health policy reforms countries should introduce. However, little attention has been paid to how countries should carry out reforms, much less who is likely to favour or resist such policies. This paper argues that much health policy wrongly focuses attention on the content of reform, and neglects the actors involved in policy reform (at the international, national sub-national levels), the processes contingent on developing and implementing change and the context within which policy is developed. Focus on policy content diverts attention from understanding the processes which explain why desired policy outcomes fail to emerge. The paper is organized in 4 sections. The first sets the scene, demonstrating how the shift from consensus to conflict in health policy established the need for a greater emphasis on policy analysis. The second section explores what is meant by policy analysis. The third investigates what other disciplines have written that help to develop a framework of analysis. And the final section suggests how policy analysis can be used not only to analyze the policy process, but also to plan.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Project administration
                Role: Methodology
                Role: Methodology
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 July 2024
                2024
                : 19
                : 7
                : e0306922
                Affiliations
                [1 ] Cambridge Public Health, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
                [2 ] Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda
                [3 ] The Academy for Health Innovation, Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda
                [4 ] Department of Population Studies, School of Statistics and Planning, College of Business and Management Sciences, Makerere University, Kampala, Uganda
                [5 ] Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda
                [6 ] Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
                [7 ] Cambridge Public Health, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
                [8 ] Leicester School of Applied Health Sciences, Faculty of Health and Life Sciences, De Montfort University, Leicester, United Kingdom
                African Population and Health Research Center, KENYA
                Author notes

                Competing Interests: All authors declare no competing interests.

                Author information
                https://orcid.org/0000-0002-7915-2765
                Article
                PONE-D-23-38248
                10.1371/journal.pone.0306922
                11257248
                39024379
                38a47171-d121-4858-8398-9203d4d7fb27
                © 2024 Ifeagwu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 November 2023
                : 25 June 2024
                Page count
                Figures: 4, Tables: 4, Pages: 21
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Social Sciences
                Political Science
                Governments
                National Governments
                Social Sciences
                Economics
                Finance
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Health Systems Strengthening
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Medicine and Health Sciences
                Public and Occupational Health
                Global Health
                People and Places
                Geographical Locations
                Africa
                Uganda
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

                Uncategorized
                Uncategorized

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