ReviewJournal of the American Medical Informatics Association : JAMIA2017
Availability and quality of routine morbidity data: review of studies in South Africa.
Review in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- Behavioral factors affecting data quality and information utilization in health facilities in ethiopia, 2023: an exploratory qualitative study.Archives of public health = Archives belges de sante publique · 2025Article
- 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
- Automating Electronic Health Record Data Quality Assessment.Journal of medical systems · 2023Review
- Data quality and associated factors of routine health information system among health centers of West Gojjam Zone, northwest Ethiopia, 2021.Frontiers in health services · 2023Article
- Integrating Client Tracker Tool Into Fistula Management: Experience From the Fistula Care Plus Project in the Democratic Republic of Congo, 2017 to 2019.Frontiers in public health · 2022Article
- Exploring data quality and use of the routine health information system in Ethiopia: a mixed-methods study.BMJ open · 2021Article
- Is the routine health information system ready to support the planned national health insurance scheme in South Africa?Health policy and planning · 2021Article
- Article
- Can non-fatal burden estimates from the Global Burden of Disease study be used locally? An investigation using models of stroke and diabetes for South Africa.Global health action · 2021Article
- Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.PloS one · 2020Article
- Monitoring childbirth care in primary health facilities: a validity study in Gombe State, northeastern Nigeria.Journal of global health · 2019Article
- Primary healthcare and school health service utilisation by adolescents and young adults in KwaZulu-Natal, South Africa.BMC health services research · 2019Article
- Article
- Article
- Data Equity to Advance Health and Health Equity in Low- and Middle-Income Countries: A Scoping Review.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesRoutine health information systems (RHISs) provide data that are vital for planning and monitoring individual health. Data from RHISs could also be used for purposes for which they were not originally intended, provided that the data are of sufficient quality. For example, morbidity data could be used to inform burden of disease estimations, which serve as important evidence to prioritize interventions and promote health. The objective of this study was to identify and assess published quantitative assessments of data quality related to patient morbidity in RHISs in use in South Africa. MATERIALS AND
methodsWe conducted a review of literature published between 1994 and 2014 that assessed the quality of data in RHISs in South Africa. World Health Organization (WHO) data quality components were used as the assessment criteria.
resultsOf 420 references identified, 11 studies met the inclusion criteria. The studies were limited to tuberculosis and HIV. No study reported more than 3 WHO data quality components or provided a quantitative assessment of quality that could be used for burden of disease estimation. DISCUSSION: The included studies had limited geographical focus and evaluated different source data at different levels of the information system. All studies reported poor data quality.
conclusionThis review confirmed concerns about the quality of data in RHISs, and highlighted the need for a comprehensive evaluation of the quality of patient-level morbidity data in RHISs in South Africa.
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What OpenQuestion holds
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.