Health management information system (HMIS) data verification: A case study in four districts in Rwanda.

PloS One
Alphonse NshimyiryoBethany Hedt-Gauthier

Abstract

Reliable Health Management and Information System (HMIS) data can be used with minimal cost to identify areas for improvement and to measure impact of healthcare delivery. However, variable HMIS data quality in low- and middle-income countries limits its value in monitoring, evaluation and research. We aimed to review the quality of Rwandan HMIS data for maternal and newborn health (MNH) based on consistency of HMIS reports with facility source documents. We conducted a cross-sectional study in 76 health facilities (HFs) in four Rwandan districts. For 14 MNH data elements, we compared HMIS data to facility register data recounted by study staff for a three-month period in 2017. A HF was excluded from a specific comparison if the service was not offered, source documents were unavailable or at least one HMIS report was missing for the study period. World Health Organization guidelines on HMIS data verification were used: a verification factor (VF) was defined as the ratio of register over HMIS data. A VF<0.90 or VF>1.10 indicated over- and under-reporting in HMIS, respectively. High proportions of HFs achieved acceptable VFs for data on the number of deliveries (98.7%;75/76), antenatal care (ANC1) new registrants (95.7%;66/69), ...Continue Reading

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Citations

Dec 19, 2020·BMC Medical Informatics and Decision Making·Susan F RumishaLeonard E G Mboera
Feb 14, 2021·Seminars in Fetal & Neonatal Medicine·Alexander G StevensonDanielle E Y Ehret
Sep 4, 2021·Yearbook of Medical Informatics·Meryl BloomrosenUNKNOWN Section Editors for the IMIA Yearbook Section on Health Information Management

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Software Mentioned

Stata
R Language and Environment for Statistical Computing
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