Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review
Background A routine health information system is one of the essential components of a health system. Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited...
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description | Background A routine health information system is one of the essential components of a health system. Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries. Method We included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative. Results Most of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning. Conclusion The studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions. |
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Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries. Method We included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative. Results Most of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning. Conclusion The studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0239683</identifier><identifier>PMID: 33031406</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Accuracy ; Biology and Life Sciences ; Capacity development ; Computer and Information Sciences ; Decision making ; Design ; Developing countries ; Disease control ; Global health ; Health aspects ; Health care facilities ; Health care information services ; Health facilities ; Hygiene ; Income ; Information systems ; Intervention ; Low income groups ; Medicin och hälsovetenskap ; Medicine ; Medicine and Health Sciences ; Public health ; Quality assessment ; Quality control ; Quality management ; Reviews ; Social Sciences ; Technology ; Technology utilization</subject><ispartof>PloS one, 2020-10, Vol.15 (10), p.e0239683-e0239683</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Lemma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries. Method We included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative. Results Most of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning. Conclusion The studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions.</description><subject>Accuracy</subject><subject>Biology and Life Sciences</subject><subject>Capacity development</subject><subject>Computer and Information Sciences</subject><subject>Decision making</subject><subject>Design</subject><subject>Developing countries</subject><subject>Disease control</subject><subject>Global health</subject><subject>Health aspects</subject><subject>Health care facilities</subject><subject>Health care information services</subject><subject>Health facilities</subject><subject>Hygiene</subject><subject>Income</subject><subject>Information systems</subject><subject>Intervention</subject><subject>Low income groups</subject><subject>Medicin och hälsovetenskap</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Public health</subject><subject>Quality assessment</subject><subject>Quality control</subject><subject>Quality management</subject><subject>Reviews</subject><subject>Social Sciences</subject><subject>Technology</subject><subject>Technology 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quality and use of routine health information system data in low- and middle-income countries: A scoping review</title><author>Lemma, Seblewengel ; Janson, Annika ; Persson, Lars-Åke ; Wickremasinghe, Deepthi ; Källestål, Carina ; Francis, Joel Msafiri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c757t-abe2722624d57da3b8e221a413cf6d77f84295c7f4a2a8a0b8dff2d8092e4d6c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Biology and Life Sciences</topic><topic>Capacity development</topic><topic>Computer and Information Sciences</topic><topic>Decision making</topic><topic>Design</topic><topic>Developing countries</topic><topic>Disease control</topic><topic>Global health</topic><topic>Health aspects</topic><topic>Health care facilities</topic><topic>Health care information services</topic><topic>Health 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low- and middle-income countries: A scoping review</atitle><jtitle>PloS one</jtitle><date>2020-10-08</date><risdate>2020</risdate><volume>15</volume><issue>10</issue><spage>e0239683</spage><epage>e0239683</epage><pages>e0239683-e0239683</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Background A routine health information system is one of the essential components of a health system. Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries. Method We included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative. Results Most of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning. Conclusion The studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>33031406</pmid><doi>10.1371/journal.pone.0239683</doi><tpages>e0239683</tpages><orcidid>https://orcid.org/0000-0001-5106-5670</orcidid><orcidid>https://orcid.org/0000-0001-5910-3723</orcidid><orcidid>https://orcid.org/0000-0002-3206-6528</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Biology and Life Sciences Capacity development Computer and Information Sciences Decision making Design Developing countries Disease control Global health Health aspects Health care facilities Health care information services Health facilities Hygiene Income Information systems Intervention Low income groups Medicin och hälsovetenskap Medicine Medicine and Health Sciences Public health Quality assessment Quality control Quality management Reviews Social Sciences Technology Technology utilization |
title | Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review |
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