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Research networks: can we use data from GPs' electronic health records?

Authors :
Etienne, De Clercq
Viviane, Van Casteren
Pascale, Jonckheer
Peter, Burggraeve
Marie-France, Lafontaine
Hans, Vandenberghe
Vincent, Lorant
Caroline, Artoisenet
Karen, Degroote
Source :
Studies in health technology and informatics. 124
Publication Year :
2006

Abstract

As widely discussed in the literature, there are many potential scientific usages of data extracted from the primary care Electronic Health Records (EHR), such as quality of care, epidemiological or socio-economical studies. Yet, can we use the current available data in the EHR for such purposes? In this paper, our objective is to report on the preliminary findings of the Belgian ResoPrim project (2003-2005) to answer the question. We set up a semi-anonymous network involving 26 current practices (28 volunteer GPs), 3 different EHR software systems and two Trusted Third Parties. Based on a literature overview we identified 27 research questions to be answered using 50 indicators. The study design includes retrospective (2002-2004) and prospective (6 weeks) data collection processes around the theme of "Hypertension and cardiovascular risk factors". For some data sets, the data extraction was a full automatic procedure, for some others, the data extraction was related to an input from the GPs allowing some comparisons between both procedures. At this stage, we performed an extended descriptive analysis of our data. Retrospectively we collected data related to 42,217 patients and 203,128 contacts. Prospectively we collected data for 9,236 patients and 15,234 contacts. Our main findings are briefly presented and discussed in this paper. The most promising fields seem to be the Health Research Information Systems assessment and the quality of care studies. It is quite too soon to reach the expected theoretical benefits for epidemiologic and socio-economic studies, yet some progresses could be made in relation with the denominator issue. Based on our preliminary findings and hypotheses, further analyses are foreseen during the second phase of the project (2006-2007).

Details

ISSN :
09269630 and 20032005
Volume :
124
Database :
OpenAIRE
Journal :
Studies in health technology and informatics
Accession number :
edsair.pmid..........17155bd0a91f9a9d937746583448438e