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Related Experiment Videos

Development of sample size models for national general practice surveys

R A Meza1, M Angelis, H Britt

  • 1Department of General Practice, University of Sydney.

Australian Journal of Public Health
|February 1, 1995
PubMed
Summary

Cluster sampling of general practitioner (GP) encounters offers a cost-effective way to track common health issues and treatments. A sample size of 1000 GPs ensures 95% confidence in measuring these key general practice data points.

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Correspondence.

The Journal of the Royal College of General Practitioners·2009

Area of Science:

  • General Practice Research
  • Health Services Research
  • Epidemiology

Background:

  • Measuring morbidity and treatment in general practice is crucial for healthcare planning.
  • Existing methods may not be cost-effective for comprehensive data collection.
  • Cluster sampling of general practitioner (GP) encounters is a potential solution.

Purpose of the Study:

  • To propose and evaluate a cluster sampling method for analyzing encounter-based general practice data.
  • To estimate the sample sizes required for future surveys on morbidity and treatment in general practice.
  • To determine the precision of estimates based on different sample sizes.

Main Methods:

  • Utilized data from the Australian Morbidity and Treatment Survey in General Practice 1990-1991 (AMTS).

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  • Employed ratio-estimator models for cluster sample surveys to estimate required sample sizes.
  • Calculated relative precision for various sample sizes to achieve 95% confidence intervals.

    • Main Results:

    • The 20 most common problems occurred at rates of 1.5 to 9.5 per 100 encounters.
    • The 20 most common drugs were prescribed at rates of 0.7 to 3.6 per 100 problems.
    • A sample size of 1000 GPs allows measurement of common morbidity and treatments with 95% confidence, achieving approximately 12% relative precision.

    Conclusions:

    • Cluster sampling of GP encounters is a viable and cost-effective strategy for future general practice surveys.
    • A sample size of 1000 GPs provides adequate precision for measuring the most frequent morbidity and treatment data.
    • Sample size requirements vary due to the distribution and frequency of specific health issues and treatments.