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First published October 5, 2003 as JAMIA PrePrint; doi:10.1197/jamia.M1362
Journal of the American Medical Informatics Association 2004;11(1):78-86
© 2004 American Medical Informatics Association

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Submitted on March 13, 2003
Accepted on September 17, 2003

Data quality of general practice electronic health records: the impact of a programme of assessments, feedback and training

Mark Porcheret1*, Rhian Hughes MLitt1, Dai Evans1, Kelvin Jordan PhD1, Tracy Whitehurst1, Helen Ogden1, and Peter Croft MD1

Affiliation of the authors: 1 Primary Care Sciences Research Centre, Keele University, UK on behalf of the North Staffordshire General Practice Research Network

* To whom correspondence should be addressed.

Objective To investigate the impact of a programme of repeated assessments, feedback and training on the quality of coded clinical data in general practice.

Design A prospective uncontrolled intervention study in a general practice research network.

Measurements Percentage of recorded consultations with a coded problem title. Percentage of patients on a specific drug (e.g. tamoxifen) who had the relevant morbidity (e.g. breast cancer) coded. Annual period prevalence of 12 selected morbidities compared to parallel data derived from the fourth National Study of Morbidity Statistics from General Practice (MSGP4).

Results The first two measures showed variation between practices at baseline but on repeat assessments all practices improved or maintained their levels of coding. The period prevalence figures also were variable but over time rates increased to levels comparable to, or above, MSGP4 rates. Practices were able to provide time and resources for feedback and training sessions.

Conclusion A programme of repeated assessments, feedback and training appears to improve data quality in a range of practices. The programme is likely to be generalisable to other practices but needed a trained support team to implement it that has implications for cost and resources.




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