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Tytuł:
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Using health data for decision-making at each level of the health system to achieve universal health coverage in Ethiopia: the case of an immunization programme in a low-resource setting.
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Autorzy:
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Tilahun B; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. .; eHealthlab Ethiopia, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. .
Teklu A; Department of Pediatrics, School of Medicine, University of Gondar, Gondar, Ethiopia.
Mancuso A; Alliance for Health Policy and Systems Research, World Health Organization, Geneva, Switzerland.
Endehabtu BF; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Gashu KD; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Mekonnen ZA; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.; Health System Directorate, Ministry of Health, Addis Ababa, Ethiopia.
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Źródło:
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Health research policy and systems [Health Res Policy Syst] 2021 Aug 11; Vol. 19 (Suppl 2), pp. 48. Date of Electronic Publication: 2021 Aug 11.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: [London] : BioMed Central, 2003-
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MeSH Terms:
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Immunization Programs*
Universal Health Insurance*
Ethiopia ; Government Programs ; Humans ; Immunization
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References:
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Glob Health Action. 2013 Feb 13;6:20001. (PMID: 23406921)
Bull World Health Organ. 2012 May 1;90(5):379-84. (PMID: 22589572)
Bull World Health Organ. 2005 Aug;83(8):578-83. (PMID: 16184276)
Health Res Policy Syst. 2018 May 3;16(1):37. (PMID: 29724235)
BMC Public Health. 2005 Oct 11;5:108. (PMID: 16219104)
Health Policy Plan. 2009 May;24(3):217-28. (PMID: 19304786)
Health Policy Plan. 2016 Sep;31 Suppl 2:ii3-ii11. (PMID: 27591204)
Int J Gynaecol Obstet. 2016 Jan;132(1):117-25. (PMID: 26653397)
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Grant Information:
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001 International WHO_ World Health Organization
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Contributed Indexing:
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Keywords: Accountability; Data quality; Data use; Ethiopia; Implementation research
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Entry Date(s):
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Date Created: 20210812 Date Completed: 20210813 Latest Revision: 20210915
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Update Code:
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20240105
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PubMed Central ID:
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PMC8356368
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DOI:
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10.1186/s12961-021-00694-1
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PMID:
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34380496
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Background: For evidence-based decision-making, there is a need for quality, timely, relevant and accessible information at each level of the health system. Limited use of local data at each level of the health system is reported to be a main challenge for evidence-based decision-making in low- and middle-income countries. Although evidence is available on the timeliness and quality of local data, we know little about how it is used for decision-making at different levels of the health system. Therefore, this study aimed to assess the level of data use and its effect on data quality and shared accountability at different levels of the health system.
Methods: An implementation science study was conducted using key informants and document reviews between January and September 2017. A total of 21 key informants were selected from community representatives, data producers, data users and decision-makers from the community to the regional level. Reviewed documents include facility reports, district reports, zonal reports and feedback in supervision from the district. Thematic content analysis was performed for the qualitative data.
Results: Respondents reported that routine data use for routine decision-making was low. All health facilities and health offices have a performance monitoring team, but these were not always functional. Awareness gaps, lack of motivating incentives, irregularity of supportive supervision, lack of community engagement in health report verification as well as poor technical capacity of health professionals were found to be the major barriers to data use. The study also revealed that there are no institutional or national-level regulations or policies on the accountability mechanisms related to health data. The community-level Health Development Army programme was found to be a strong community engagement approach that can be leveraged for data verification at the source of community data.
Conclusion: The culture of using routine data for decision-making at the local level was found to be low. Strengthening the capacity of health workers and performance monitoring teams, introducing incentive mechanisms for data use, engaging the community in data verification and introducing accountability mechanisms for health data are essential to improve data use and quality.
(© 2021. The Author(s).)
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