ArticlePloS one2020
Effect of data quality improvement intervention on health management information system data accuracy: An interrupted time series analysis.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Common data quality elements for health information systems: a systematic review.BMC medical informatics and decision making · 2024Pooled it
- Situational analysis of the quality of maternal, child, and adolescent health data in the health districts of Thiès, Mbour, Kédougou, and Saraya in Senegal.BMC public health · 2025Article
- 'The objective was about not blaming one another': a qualitative study to explore how collaboration is experienced within quality improvement collaboratives in Ethiopia.Health research policy and systems · 2023Article
- Quality of routine health data at the onset of the COVID-19 pandemic in Ethiopia, Haiti, Laos, Nepal, and South Africa.Population health metrics · 2023Article
- Improving birth weight measurement and recording practices in Kenya and Tanzania: a prospective intervention study with historical controls.Population health metrics · 2023Article
- Article
- "Even though they insult us, the delivery they give us is the greatest thing": a qualitative study contextualizing women's experiences with facility-based maternal health care in Ethiopia.BMC pregnancy and childbirth · 2022Article
- Assessing routine health information system performance during the tenth outbreak of Ebola virus disease (2018-2020) in the Democratic Republic of the Congo: A qualitative study in North Kivu.PLOS global public health · 2022Article
- Using health management information system data: case study and verification of institutional deliveries in Ethiopia.BMJ global health · 2021Article
- A Conceptual Framework of Data Readiness: The Contextual Intersection of Quality, Availability, Interoperability, and Provenance.Applied clinical informatics · 2021Article
- Routine health management information system data in Ethiopia: consistency, trends, and challenges.Global health action · 2021Article
- Article
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Authors and funding
10 authors.
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Abstract
backgroundAs part of a partnership between the Institute for Healthcare Improvement and the Ethiopian Federal Ministry of Health, woreda-based quality improvement collaboratives took place between November 2016 and December 2017 aiming to accelerate reduction of maternal and neonatal mortality in Lemu Bilbilu, Tanqua Abergele and Duguna Fango woredas. Before starting the collaboratives, assessments found inaccuracies in core measures obtained from Health Management Information System reports. METHODS AND
resultsBuilding on the quality improvement collaborative design, data quality improvement activities were added and we used the World Health Organization review methodology to drive a verification factor for the core measures of number of pregnant women that received their first antenatal care visit, number of pregnant women that received antenatal care on at least four visits, number of pregnant women tested for syphilis and number of births attended by skilled health personnel. Impact of the data quality improvement was assessed using interrupted time series analysis. We found accurate data across all time periods for Tanqua Abergele. In Lemu Bilbilu and Duguna Fango, data quality improved for all core metrics over time. In Duguna Fango, the verification factor for number of pregnant women that received their first antenatal care visit improved from 0.794 (95%CI 0.753, 0.836; p<0.001) pre-intervention by 0.173 (95%CI 0.128, 0.219; p<0.001) during the collaborative; and the verification factor for number of pregnant women tested for syphilis improved from 0.472 (95%CI 0.390, 0.554; p<0.001) pre-intervention by 0.460 (95%CI 0.369, 0.552; p<0.001) during the collaborative. In Lemu Bilbilu, the verification factor for number of pregnant women receiving a fourth antenatal visit rose from 0.589 (95%CI 0.513, 0.664; p<0.001) at baseline by 0.358 (95%CI 0.258, 0.458; p<0.001) post-intervention; and skilled birth attendance rose from 0.917 (95%CI 0.869, 0.965) at baseline by 0.083 (95%CI 0.030, 0.136; p<0.001) during the collaborative.
conclusionsA Data quality improvement initiative embedded within woreda clinical improvement collaborative improved accuracy of data used to monitor maternal and newborn health services in Ethiopia.
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