ArticlePloS one2020
Health management information system (HMIS) data verification: A case study in four districts in Rwanda.
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 26 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Pooled it
- Community-Based Health Information Systems in Africa: A Scoping Review of Data Generation, Utilization, and Community Empowerment.Wellcome open research · 2024Pooled it
- Findings from the 2021 Yearbook Section on Health Information Management.Yearbook of medical informatics · 2021Pooled it
- Time-Series Analysis and Age-Stratified Forecasting of Diarrheal Disease in Rwanda Using SARIMA Models.Tropical medicine and infectious disease · 2026Article
- Regulatory framework for health information systems in Ethiopia: A qualitative document analysis.Health information management : journal of the Health Information Management Association of Australia · 2026Article
- Utilisation of data and factors affecting the performance of the Health Management Information System (HMIS). The case of six Synods of Livingstonia health facilities in Malawi.Archives of public health = Archives belges de sante publique · 2025Article
- Feasibility of integrating human and animal disease surveillance and reporting in Rwanda: Insights from a mobile reporting pilot and veterinarians' perspectives - a multi-method study.PLOS digital health · 2025Article
- Identifying Strengths and Gaps in Data Management and Reporting through Malaria Routine Data Quality Assessment: Results from Two Health Regions in Madagascar.The American journal of tropical medicine and hygiene · 2025Article
- Towards improving district health information system data consistency, report completeness and timeliness in Neno district, Malawi.BMC medical informatics and decision making · 2024Article
- The quality of routine data for measuring facility-based maternal mortality in public and private health facilities in Kampala City, Uganda.Population health metrics · 2024Article
- Health information management systems and practices in conflict-affected settings: the case of northwest Syria.Globalization and health · 2024Article
- Data completeness and consistency in individual medical records of institutional births: retrospective crossectional study from Northwest Ethiopia, 2022.BMC health services research · 2023Article
- From global recommendations to (in)action: A scoping review of the coverage of companion of choice for women during labour and birth.PLOS global public health · 2023Article
- Development and Testing Requirements for an Integrated Maternal and Child Health Information System in Iran: A Design Thinking Case Study.Methods of information in medicine · 2022Article
- Can administrative health data be used to estimate population level birth and child mortality estimates? A comparison of India's Health Information Management System data with nationally representative survey data.SSM - population health · 2022Article
- Maternal and child health data quality in health care facilities at the Cape Coast Metropolis, Ghana.BMC health services research · 2022Review
- Epidemiology of sexually transmitted infections: trends among patients screened for sexually transmitted infections in rwandan health facilities 2014-2020.BMC infectious diseases · 2022Article
- Current pesticide suicide surveillance methods used across the African continent: a scoping review protocol.BMJ open · 2022Article
- Assessing the Use of Hospital Information Systems (HIS) to Support Decision-Making: A Cross-Sectional Study in Public Hospitals in the Huíla Health Region of Southern Angola.Healthcare (Basel, Switzerland) · 2022Article
- Impact of COVID-19 pandemic on HCV care cascade in Rwanda: Ecological study from July 2019 to June 2021.Clinical liver disease · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
introductionReliable 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.
methodsWe 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.
resultsHigh 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), live births (94.7%;72/76), and newborns who received first postnatal care within 24 hours (81.5%;53/65). This was slightly lower for the number of women who received iron/folic acid (78.3%;47/60) and tested for syphilis in ANC1 (67.6%;45/68) and was the lowest for the number of women with ANC1 standard visit (25.0%;17/68) and fourth standard visit (ANC4) (17.4%;12/69). The majority of HFs over-reported on ANC4 (76.8%;53/69) and ANC1 (64.7%;44/68) standard visits.
conclusionThere was variable HMIS data quality by data element, with some indicators with high quality and also consistency in reporting trends across districts. Over-reporting was observed for ANC-related data requiring more complex calculations, i.e., knowledge of gestational age, scheduling to determine ANC standard visits, as well as quality indicators in ANC. Ongoing data quality assessments and training to address gaps could help improve HMIS data quality.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.