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Collecting morbidity data in general practice: the Somerset morbidity project
Summary
Establishing a primary care morbidity database in Somerset proved feasible. The collected data, with high coding accuracy, informed local health service commissioning and purchasing decisions effectively.
Area of Science:
- Primary Care Medicine
- Health Informatics
- Public Health
Background:
- Primary care data is crucial for understanding local health needs.
- Effective service commissioning requires accurate and representative morbidity data.
- Previous efforts lacked comprehensive and continuous data collection.
Purpose of the Study:
- To establish a valid, complete, and representative primary care morbidity database.
- To utilize collected data for evidence-based local health service commissioning.
- To assess the feasibility and utility of such a data collection network.
Main Methods:
- Utilized computerized general practices in Somerset, selected for population representativeness.
- Recorded all conditions from face-to-face consultations using Read codes and episode types.
- Implemented regular data validation and weekly data transfer via modem.
Main Results:
- 11 practices participated, achieving 96.4% coding completeness.
- Validation showed high accuracy: 94% for episode types and 87% for Read codes.
- Data influenced health authority purchasing plans and led to contract changes for glue ear surgery.
Conclusions:
- Demonstrated the feasibility of a primary care morbidity recording and reporting network.
- Indicated that the collected data is valuable for evidence-based health service purchasing.
- Highlighted the potential for improving local health service responsiveness to need.