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Real world data--retrieval and validation of consultation data from four general practices
R D Neal1, P L Heywood, S Morley
1Centre for Research in Primary Care, University of Leeds, UK.
Family Practice
|October 1, 1996
Summary
General practice databases can yield valuable research data, but validation is crucial. MIQUEST software aids data retrieval, though completeness varies by practice and time.
Area of Science:
- Health Informatics
- Primary Care Research
- Data Management
Background:
- General practice databases are increasingly used for research.
- Ensuring the accuracy and completeness of this data is essential for reliable findings.
- Methods for data validation in primary care settings require careful consideration.
Purpose of the Study:
- To retrieve consultation data from general practice databases.
- To develop and implement methods for validating this retrieved data.
- To assess the utility of MIQUEST software for data extraction.
Main Methods:
- Utilized MIQUEST software for data retrieval from four general practices.
- Validated data by comparing with practice-based searches.
- Assessed consultation recording completeness over time and against case notes.
Main Results:
- Successful data retrieval from general practice databases was achieved, albeit with challenges.
- Computerized consultation records were more complete than paper records.
- Consultation recording completeness varied between practices, clinicians, and patients, with an initial dip during early computerization.
Conclusions:
- General practice databases hold significant potential for research purposes.
- MIQUEST software is a valuable tool for extracting data from these databases.
- Data completeness, though variable, was sufficient for further analysis, highlighting the importance of validation.