Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.

Seblewengel Lemma ORCID logo; Annika Janson ORCID logo; Lars-Åke Persson ORCID logo; Deepthi Wickremasinghe; Carina Källestål ORCID logo; (2020) Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review. PLOS ONE, 15 (10). e0239683-. ISSN 1932-6203 DOI: 10.1371/journal.pone.0239683
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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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