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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
- Source :
- Health Research Policy and Systems, Health Research Policy and Systems, Vol 19, Iss S2, Pp 1-8 (2021)
- Publication Year :
- 2021
- Publisher :
- BioMed Central, 2021.
-
Abstract
- 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.
- Subjects :
- medicine.medical_specialty
Implementation research
Health administration
Universal Health Insurance
medicine
Humans
Accountability
Health policy
Community engagement
business.industry
Immunization Programs
Health Policy
Public health
Research
Health services research
Data quality
Public relations
Data use
Government Programs
Data verification
Immunization
Business
Ethiopia
Thematic analysis
Public aspects of medicine
RA1-1270
Subjects
Details
- Language :
- English
- ISSN :
- 14784505
- Volume :
- 19
- Issue :
- Suppl 2
- Database :
- OpenAIRE
- Journal :
- Health Research Policy and Systems
- Accession number :
- edsair.doi.dedup.....5098ad06ae26837146e79a12623921b7