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An assessment of computing activity by GPASS users in Scottish general practice
R M Milne1, M W Taylor, R Duncan
1Department of General Practice, Foresterhill Health Centre, University of Aberdeen.
Summary
This study utilized an electronic questionnaire in 1989 to collect data from 251 Scottish general practices via the GPASS computer system. Analysis examined regional differences, computerization dates, and general practitioner list sizes.
Area of Science:
- Health Informatics
- General Practice Data Management
- Medical Record Systems
Background:
- The increasing use of computers in general practices necessitates efficient data collection methods.
- Scottish General Practices utilize the standard national general practice computer system (GPASS).
- In 1989, a novel electronic questionnaire was developed for data extraction.
Purpose of the Study:
- To assess the feasibility and utility of an electronic questionnaire for data collection in Scottish general practices.
- To analyze data collected from computerised general practices in Scotland.
- To examine variations in data based on geographical region, computerization timeline, and practice size.
Main Methods:
- Development of an electronic questionnaire compatible with the GPASS system.
- Data collection from 251 computerised Scottish general practices in 1989.
- Utilisation of a floppy disc-based interrogation program for data retrieval.
- Amalgamation and analysis of collected data.
Main Results:
- The study successfully gathered data from a significant number of Scottish general practices using the electronic questionnaire.
- Analysis revealed distinct patterns when data were stratified by region, date of initial computerisation, and general practitioner list size.
- The electronic questionnaire proved to be an effective tool for large-scale data collection from primary care computer systems.
Conclusions:
- Electronic data collection methods are viable for large-scale studies in primary care.
- The GPASS system facilitated the aggregation of practice data for analysis.
- Understanding variations by region, computerisation date, and list size is crucial for interpreting general practice data.