Collecting information on the quality of prescribing in primary care using semi-automatic data extraction from GPs' electronic medical records.
Int J Med Inform
; 74(5): 367-76, 2005 Jun.
Article
in En
| MEDLINE
| ID: mdl-15893259
ABSTRACT
OBJECTIVES:
To evaluate a semi-automatic data extraction from the electronic medical record (EMR) of general practitioners (GPs) through a comparison with a paper sheets data collection simultaneously used in a primary care research project on the quality of prescribing for osteoarthritis in the elderly.SUBJECTS:
One hundred and fifty-two GPs using five different EMR-software systems participated with the semi-automatic data extraction from the EMR and 233 GPs collected data with paper registration sheets.METHODS:
The proportion of patients with respectively a drug prescription, paracetamol, a non-steroidal anti-inflammatory drug (NSAID) and ibuprofen were compared between the semi-automatic extraction and the paper data collection and among the EMR-software systems.RESULTS:
Using the semi-automatic data extraction, a significantly lower proportion of patients on drugs was obtained compared to the paper data collection (adjusted OR 0.31; 95% CI 0.25-0.39). However, the proportion of patients on a specific type of drug was comparable. Within the results from the semi-automatic extraction, the results were heterogeneous among the different EMR-software systems.CONCLUSIONS:
The semi-automatic data extraction with multiple EMR-software systems proposed in this study seems suitable for quality of prescribing assessment in primary care. However, it may be less reliable when only a single EMR-software is used.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Physicians, Family
/
Drug Prescriptions
/
Quality of Health Care
/
Practice Patterns, Physicians'
/
Medical Records Systems, Computerized
Type of study:
Prognostic_studies
Limits:
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Europa
Language:
En
Journal:
Int J Med Inform
Journal subject:
INFORMATICA MEDICA
Year:
2005
Document type:
Article
Affiliation country:
Belgium