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[Collection of data on primary care activities by sampling]
F Ortiz Cervelló1, J Quiles Climent, D Menéndez Suárez
1Servicio de Gestión de la Demanda, Dirección para la Gestión de Atención Primaria, Generalitat Valenciana, Valencia.
Atencion Primaria
|April 15, 1996
Summary
Systematic sampling every fourth day (Type D) provided the most accurate primary care data. Careful assessment is needed before implementing this sampling design in practice.
Area of Science:
- Health Services Research
- Primary Care Medicine
- Data Management
Background:
- Effective data collection is crucial for primary care system improvements.
- Evaluating different sampling designs is essential for optimizing data accuracy.
Purpose of the Study:
- To identify the optimal sampling design for primary care activity data.
- To assess the suitability of implementing a new sampling strategy.
Main Methods:
- An experimental study compared four sampling designs (A, B, C, D).
- Designs included random, consecutive, and systematic sampling over different periods.
- Data accuracy was evaluated against known exhaustive records.
Main Results:
- Systematic sampling every fourth day (Type D) yielded the best results.
- Consecutive sampling (Type B) produced the poorest data accuracy.
- Unacceptable errors were noted for health program variables across all designs.
Conclusions:
- Type D systematic sampling is recommended as the most appropriate design.
- Implementation requires assessing data utility, precision needs, task redistribution, and recording acceptability.