Determinants of Translating Routine Health Information System Data Into Action
Author | : Nami Kawakyu |
Publisher | : |
Total Pages | : 0 |
Release | : 2022 |
Genre | : |
ISBN | : |
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Use of routine health information system (RHIS) data to inform improvements to health facility performance is an essential approach to achieving universal health coverage, but RHIS data use remains limited in many low- and middle-income countries. There is a lack of consensus and consistency in how RHIS data use is conceptualized and measured in the literature and determinants of translating RHIS data into action are not well understood, impeding the development and evaluation of effective RHIS data use interventions. The overall goal of this dissertation was to identify the determinants of translating RHIS data into action to inform the development of more effective and targeted interventions that promote decisions and actions based on quality RHIS data. To this end, a systematic integrative review was conducted to summarize the current state of the RHIS data use literature to inform the development of a common definition for RHIS data use, refine a popular data use framework to clarify what encompasses data use, and propose improvements to measuring data use. The refined framework was then used to guide qualitative and quantitative studies that explored the determinants of translating RHIS data into action. Findings from all three studies indicate that RHIS data use is a multi-step process where data-informed action is the critical last step that contributes to improvements in health system performance. In the qualitative exploration, regular facility meetings to review RHIS data to assess health facility performance was identified to be an essential determinant in implementing planned actions informed by RHIS data. Findings from the quantitative exploration indicated that the more actions a facility planned, the more likely the facility was to implement those actions. In both qualitative and quantitative explorations, facility staff experience of insufficient health workers was a barrier to translating RHIS data into action. Future studies and implementation strategies should be designed with consideration for the different support needs for each step of the RHIS data use process.