ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association
Data integrity module for data quality assurance within an e-health system in sub-Saharan Africa.
Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Strategic Study about Quality Characteristics in e-Health Systems Based on a Systematic Literature Review.TheScientificWorldJournal · 2015Pooled it
- Mobile phone-based mHealth approaches for public health surveillance in sub-Saharan Africa: a systematic review.International journal of environmental research and public health · 2014Pooled it
- Automating Electronic Health Record Data Quality Assessment.Journal of medical systems · 2023Review
- Knowledge of electronic medical records system among frontline health care workers in Jos University teaching hospital, Plateau State Nigeria.International journal of research in medical sciences · 2020Article
- Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.PloS one · 2020Article
- Metrics for assessing the reliability of a telemedicine remote monitoring system.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2013Article
- Why sub-Saharan Africa lags in electronic health record adoption and possible strategies to increase its adoption in this region.International journal of health sciencesReview
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEnsuring good data quality within telemedicine and e-health systems in developing countries is resource intensive. We set out to evaluate an approach where in-built functionality within an electronic record system could identify data quality and integrity problems with little human input. MATERIALS AND
methodsWe developed a robust data integrity module to identify, enumerate, and facilitate correction of errors within an e-health system that is in wide use in sub-Saharan Africa.
resultsThe data integrity module was successfully implemented within an electronic medical record system in Western Kenya. Queries were set to fail if one of more records did not meet defined criteria for data integrity. Only one of 14 data integrity checks implemented uncovered no errors. The other queries had errors or questionable results ranging from 51 records to 30,301 records. However, as a proportion of all patients and all observation, the identified records with likely data integrity problems only constituted a small percentage of all records (mean 0.96%, range 0-4.1%). Twelve of the 14 queries (86%) were executed in<15 s, with the longest query lasting 2 min and 18 s.
conclusionA tool that allows for automatic data integrity and quality checks was successfully implemented within an e-health system in sub-Saharan Africa. The tool potentially reduces the burden of maintaining data quality by limiting the scale of manual reviews needed to identify electronic records with errors.
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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.