ArticleJournal of the American Medical Informatics Association : JAMIA
Does feedback improve the quality of computerized medical records in primary care?
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Data Quality-Driven Improvement in Health Care: Systematic Literature Review.Journal of medical Internet research · 2024Pooled it
- Interventions to improve the use of EMRs in primary health care: a systematic review and meta-analysis.BMJ health & care informatics · 2019Pooled it
- The use and interpretation of quasi-experimental studies in medical informatics.Journal of the American Medical Informatics Association : JAMIAPooled it
- Development of Quality Indicators for the Correct Use of Electronic Medical Records in Primary Care: Modified Delphi Study.JMIR medical informatics · 2026Article
- Rule-Based Data Quality Assessment and Monitoring System in Healthcare Facilities.Studies in health technology and informatics · 2019Article
- Applying Persuasive Design Techniques to Influence Data-Entry Behaviors in Primary Care: Repeated Measures Evaluation Using Statistical Process Control.JMIR human factors · 2018Article
- Enhanced Safety Surveillance of Seasonal Quadrivalent Influenza Vaccines in English Primary Care: Interim Analysis.Advances in therapy · 2018Article
- Improving the quality of EHR recording in primary care: a data quality feedback tool.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- From patient care to research: a validation study examining the factors contributing to data quality in a primary care electronic medical record database.BMC family practice · 2015Article
- Risk of mortality in patients with psoriatic arthritis, rheumatoid arthritis and psoriasis: a longitudinal cohort study.Annals of the rheumatic diseases · 2014Article
- Prevalence and treatment patterns of psoriatic arthritis in the UK.Rheumatology (Oxford, England) · 2013Article
- Dose variations associated with formulations of NSAID prescriptions for children: a descriptive analysis of electronic health records in the UK.Drug safety · 2011Article
- Pneumonia following antipsychotic prescriptions in electronic health records: a patient safety concern?The British journal of general practice : the journal of the Royal College of General Practitioners · 2010Article
- The QICKD study protocol: a cluster randomised trial to compare quality improvement interventions to lower systolic BP in chronic kidney disease (CKD) in primary care.Implementation science : IS · 2009Article
- The quality of record keeping in primary care: a comparison of computerised, paper and hybrid systems.The British journal of general practice : the journal of the Royal College of General Practitioners · 2003Article
- A comparison of multiple data sources to identify vaccinations for veterans with spinal cord injuries and disorders.Journal of the American Medical Informatics Association : JAMIAArticle
- Data quality of general practice electronic health records: the impact of a program of assessments, feedback, and training.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe MediPlus database collects anonymized information from generalpractice computer systems in the United Kingdom, for research purposes. Data quality markers are collated and fed back to the participating general practitioners. The authors examined whether this feedback had a significant effect on data quality.
methodsThe data quality markers used since 1992 were examined. The authors determined whether the feedback of "useful" data quality markers led to a statistically significant improvement in these markers. Environmental influences on data quality from outside the scheme were controlled for by examination of the data quality scores of new entrants.
resultsThree quality markers improved significantly over the period of the study. These were the use of highly specific "lower-level" Read Codes (p=0.004) and the linkage of repeat prescriptions (p=0.03) and acute prescriptions (p=0.04) to diagnosis. Clinicians who fall below the target level for linkage of repeat prescriptions to diagnosis receive more detailed feedback; the effect of this was also statistically significant (p<0.01.)
conclusionsThe feedback of four of the ten markers had a significant effect on data quality. The effect of more detailed feedback appears to have had a greater effect. The lessons learned from this approach may help improve the quality of electronic medical records in the United Kingdom and elsewhere.
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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.