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      The impacts of health systems financing fragmentation in low- and middle-income countries: a systematic review protocol

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          Abstract

          Background

          Health systems are often fragmented in low- and middle-income countries (LMICs). This can increase inefficiencies and restrict progress towards universal health coverage. The objective of the systematic review described in this protocol will be to evaluate and synthesize the evidence concerning the impacts of health systems financing fragmentation in LMICs.

          Methods

          Literature searches will be conducted in multiple electronic databases, from their inception onwards, including MEDLINE, EMBASE, LILACS, CINAHL, Scopus, ScienceDirect, Scielo, Cochrane Library, EconLit, and JSTOR. Gray literature will be also targeted through searching OpenSIGLE, Google Scholar, and institutional websites (e.g., HMIC, The World Bank, WHO, PAHO, OECD). The search strings will include keywords related to LMICs, health system financing fragmentation, and health system goals. Experimental, quasi-experimental, and observational studies conducted in LMICs and examining health financing fragmentation across any relevant metric (e.g., the presence of different health funders/insurers, risk pooling mechanisms, eligibility categories, benefits packages, premiums) will be included. Studies will be eligible if they compare financing fragmentation in alternative settings or at least two-time points. The primary outcomes will be health system-related goals such as health outcomes (e.g., mortality, morbidity, patient-reported outcome measures) and indicators of access, services utilization, equity, and financial risk protection. Additional outcomes will include intermediate health system objectives (e.g., indicators of efficiency and quality). Two reviewers will independently screen all citations, abstract data, and full-text articles. Potential conflicts will be resolved through discussion and, when necessary, resolved by a third reviewer. The methodological quality (or risk of bias) of selected studies will be appraised using established checklists. Data extraction categories will include the studies’ objective and design, the fragmentation measurement and domains, and health outcomes linked to the fragmentation. A narrative synthesis will be used to describe the results and characteristics of all included studies and to explore relationships and findings both within and between the studies.

          Discussion

          Evidence on the impacts of health system fragmentation in LMICs is key for identifying evidence gaps and priority areas for intervention. This knowledge will be valuable to health system policymakers aiming to strengthen health systems in LMICs.

          Systematic review registration

          PROSPERO CRD42020201467

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13643-021-01714-5.

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          Most cited references42

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          Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

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            GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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                Author and article information

                Contributors
                marina.martins@ieps.org.br
                macoube@gmail.com
                c.millett@imperial.ac.uk
                rudirocha.ie@gmail.com
                thomas.hone12@imperial.ac.uk
                Journal
                Syst Rev
                Syst Rev
                Systematic Reviews
                BioMed Central (London )
                2046-4053
                2 June 2021
                2 June 2021
                2021
                : 10
                : 164
                Affiliations
                [1 ]Institute for Health Policy Studies, IEPS, Itapeva St 286, Conjunto 81-84, Bela Vista, São Paulo, SP 01332-000 Brazil
                [2 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Public Health Policy Evaluation Unit, Department of Primary Care and Public Health, School of Public Health, , Imperial College London, ; Exhibition Rd, South Kensington, London, SW7 2BU UK
                Author information
                http://orcid.org/0000-0002-2749-8086
                Article
                1714
                10.1186/s13643-021-01714-5
                8170990
                34078460
                ae919e45-9765-46cf-b9d2-cde6f5888bc9
                © The Author(s) 2021

                Open AccessThis 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
                : 15 October 2020
                : 19 May 2021
                Funding
                Funded by: National Institute for Health Research (NIHR)
                Award ID: NIHR 130136
                Award Recipient :
                Categories
                Protocol
                Custom metadata
                © The Author(s) 2021

                Public health
                health systems,fragmentation,financing,outcomes,lmics
                Public health
                health systems, fragmentation, financing, outcomes, lmics

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