Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
1 file | 122.29 KB
Add to list
  1. Search results
  2. Routinely-collected general practice ...

Routinely-collected general practice data from the electronic patient record and general practitioner active electronic questioning method : a comparative study

Etienne De Clercq, Sarah Moreels, Nathalie Bossuyt, Katrien Vanthomme (UGent) , Geert Goderis and Viviane Van Casteren
(2013) MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2. In Studies in Health Technology and Informatics 192. p.510-514
Author
Organization
Abstract
The numerous existing primary care-based research networks currently use various data collection methods. In this paper, we compared routine data extracted from general practitioners' (GPs') electronic patient records (EPRs) and GPs' answers to an electronic questionnaire. We investigated for 10,307 Belgian patients 10 healthcare conditions using clinical and biological parameters (cholesterol, blood pressure, and body mass index), diagnoses (hypertension, diabetes, and personal past cardiovascular event(s)), and drug prescriptions (antidiabetic drugs, aspirin, statins, and antihypertensive drugs). We found a relatively fair agreement (Kappa ?0.40) between the two data collection methods for 7 healthcare conditions, but no agreement for the biological parameters. When EPR data was used and compared with the questioning method, the prevalence of diagnoses and drug prescriptions was relatively lower and the prevalence of clinical and biological parameters was relatively higher (all missing data excluded) in the EPR data than in the data collected using the questioning method. Using EPR data, we calculated an acceptable proxy for the prevalence as observed using the questioning method. The comparison of the two data collection methods was a worthwhile approach, in that it could highlight potential ways to improve both care quality and information systems.
Keywords
PRIMARY-CARE, MEDICAL-RECORDS, COMPUTER-DATA, QUALITY, REFLECT, NETWORK, Computerized patient record, primary health care, data collection

Downloads

  • Download
    published.pdf
    • full text (Published version)
    • |
    • open access
    • |
    • PDF
    • |
    • 122.29 KB

Citation

Please use this url to cite or link to this publication:

MLA
De Clercq, Etienne, et al. “Routinely-Collected General Practice Data from the Electronic Patient Record and General Practitioner Active Electronic Questioning Method : A Comparative Study.” MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2, edited by C.U. Lehmann et al., vol. 192, Ios Press, 2013, pp. 510–14, doi:10.3233/978-1-61499-289-9-510.
APA
De Clercq, E., Moreels, S., Bossuyt, N., Vanthomme, K., Goderis, G., & Van Casteren, V. (2013). Routinely-collected general practice data from the electronic patient record and general practitioner active electronic questioning method : a comparative study. In C. U. Lehmann, E. Ammenwerth, & C. Nohr (Eds.), MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2 (Vol. 192, pp. 510–514). https://doi.org/10.3233/978-1-61499-289-9-510
Chicago author-date
De Clercq, Etienne, Sarah Moreels, Nathalie Bossuyt, Katrien Vanthomme, Geert Goderis, and Viviane Van Casteren. 2013. “Routinely-Collected General Practice Data from the Electronic Patient Record and General Practitioner Active Electronic Questioning Method : A Comparative Study.” In MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2, edited by C.U. Lehmann, E. Ammenwerth, and C. Nohr, 192:510–14. Ios Press. https://doi.org/10.3233/978-1-61499-289-9-510.
Chicago author-date (all authors)
De Clercq, Etienne, Sarah Moreels, Nathalie Bossuyt, Katrien Vanthomme, Geert Goderis, and Viviane Van Casteren. 2013. “Routinely-Collected General Practice Data from the Electronic Patient Record and General Practitioner Active Electronic Questioning Method : A Comparative Study.” In MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2, ed by. C.U. Lehmann, E. Ammenwerth, and C. Nohr, 192:510–514. Ios Press. doi:10.3233/978-1-61499-289-9-510.
Vancouver
1.
De Clercq E, Moreels S, Bossuyt N, Vanthomme K, Goderis G, Van Casteren V. Routinely-collected general practice data from the electronic patient record and general practitioner active electronic questioning method : a comparative study. In: Lehmann CU, Ammenwerth E, Nohr C, editors. MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2. Ios Press; 2013. p. 510–4.
IEEE
[1]
E. De Clercq, S. Moreels, N. Bossuyt, K. Vanthomme, G. Goderis, and V. Van Casteren, “Routinely-collected general practice data from the electronic patient record and general practitioner active electronic questioning method : a comparative study,” in MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2, Copenhagen, Denmark, 2013, vol. 192, pp. 510–514.
@inproceedings{8733721,
  abstract     = {{The numerous existing primary care-based research networks currently use various data collection methods. In this paper, we compared routine data extracted from general practitioners' (GPs') electronic patient records (EPRs) and GPs' answers to an electronic questionnaire. We investigated for 10,307 Belgian patients 10 healthcare conditions using clinical and biological parameters (cholesterol, blood pressure, and body mass index), diagnoses (hypertension, diabetes, and personal past cardiovascular event(s)), and drug prescriptions (antidiabetic drugs, aspirin, statins, and antihypertensive drugs). We found a relatively fair agreement (Kappa ?0.40) between the two data collection methods for 7 healthcare conditions, but no agreement for the biological parameters. When EPR data was used and compared with the questioning method, the prevalence of diagnoses and drug prescriptions was relatively lower and the prevalence of clinical and biological parameters was relatively higher (all missing data excluded) in the EPR data than in the data collected using the questioning method. Using EPR data, we calculated an acceptable proxy for the prevalence as observed using the questioning method. The comparison of the two data collection methods was a worthwhile approach, in that it could highlight potential ways to improve both care quality and information systems.}},
  author       = {{De Clercq, Etienne and Moreels, Sarah and Bossuyt, Nathalie and Vanthomme, Katrien and Goderis, Geert and Van Casteren, Viviane}},
  booktitle    = {{MEDINFO 2013 : PROCEEDINGS OF THE 14TH WORLD CONGRESS ON MEDICAL AND HEALTH INFORMATICS, PTS 1 AND 2}},
  editor       = {{Lehmann, C.U. and Ammenwerth, E. and Nohr, C.}},
  isbn         = {{9781614992899}},
  issn         = {{0926-9630}},
  keywords     = {{PRIMARY-CARE,MEDICAL-RECORDS,COMPUTER-DATA,QUALITY,REFLECT,NETWORK,Computerized patient record,primary health care,data collection}},
  language     = {{eng}},
  location     = {{Copenhagen, Denmark}},
  pages        = {{510--514}},
  publisher    = {{Ios Press}},
  title        = {{Routinely-collected general practice data from the electronic patient record and general practitioner active electronic questioning method : a comparative study}},
  url          = {{http://doi.org/10.3233/978-1-61499-289-9-510}},
  volume       = {{192}},
  year         = {{2013}},
}
Altmetric
View in Altmetric
Web of Science
Times cited: