ArticleJournal of global health2026
Stillbirth and newborn data quality and use and related input and process factors: findings of the IMPULSE study in Ethiopia.
Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: High quality data is mandatory when shaping action-oriented policies aimed at reducing preventable neonatal deaths. Ethiopia has a high a neonatal mortality rate, but there has been limited assessment of the quality and use of newborn data, and its contributing factors. Methods: We conducted a cross-sectional study in Ethiopia from November 2022 to September 2023 in 35 sites: 24 facilities, 10 subnational data offices, and the Ministry of Health. We collected data using Every Newborn - Measurement Improvement for Newborn & Stillbirth Indicators tools and analysed them per the Performance of Routine Information System Management User's Kit. Results: The major strengths identified in our analysis included governance at subnational data offices (80-90%), use of quality improvement standards (100%), supervision quality (100%) in data offices, sites with internet access (92-100%), routine health information system (RHIS) designated staff (100%), data management in data offices (62-100%), data availability and completeness (91-98%) for denominator elements (total births, live births), and use of data to produce reports in data offices (100%). Regarding key gaps, data accuracy (registers vs. District Health Information Software 2) was low on all 10 newborn indicators (11-67%), while data use for performance review was suboptimal (≤90%) at both in facilities (12-66%) and data offices (21-90%). Key weaknesses in input and process factors included only 40% of data offices having a long-term financial plan for supporting RHIS, 8% of data offices and 16% of facilities having the minimum item bundle in working conditions, few sites having supplies of recording/reporting tools (15-68%, depending on the item), and supervision quality (58-62%), staff skills to perform RHIS tasks (16-40%), and data management (46-75%) being particularly low in facilities. An average of 57% of end users reported a need for improvement in the quality and use of newborn data, as well as in the studied enabling factors. Conclusions: Our findings highlight the specific strengths and weaknesses that need to be addressed to improve data quality and use in the assessed sample in Ethiopia.
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