Family Practice Advance Access originally published online on July 25, 2006
Family Practice 2006 23(5):529-536; doi:10.1093/fampra/cml040
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© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Data quality improvement in general practice
Division of Clinical Information and Public Health, Department of General Practice, Academic Medical Center, University of Amsterdam Amsterdam, The Netherlands
Correspondence to HJ Brouwer, Division of Clinical Information and Public Health, Department of General Practice, Academic Medical Center, University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands; E-mail: h.j.brouwer{at}amc.uva.nl
Background. The importance of routine data generated by GPs has grown extensively in the last decade. These data have found many applications other than patient care. More attention has therefore been given to the issue of data quality. Several systematic reviews have detected ample space for improvement of data quality. A new review was conducted in order to find out which methods of improvement are effective.
Method. The Medline database was searched using an iteratively composed set of terms and MeSH (Medical Subject Headings) headings. Only papers that focused on explicit attempts at improving data quality of medical records in general practice were included.
Results. Twelve studies met the inclusion criteria. No study used patient-based comparison of records with external sources as the method to assess data quality improvement. Ten studies used internal indicators or markers of data quality instead. Attempts at data quality improvement often involve some sort of individualized feedback, and nearly all attempts seem to have some positive effect. Only one of the included studies fulfilled the basic methodological requirements of an intervention study. The most recent studies used a simple before–after design.
Conclusion. No intervention to improve data quality has been put to a rigorous enough test. We still lack empirical knowledge as to how improvement can be brought about.
Keywords. Family practice, general practice, primary health care, research.
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