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Related Experiment Videos

Estimates of general practitioner workload: a review.

K Thomas, S Birch, P Milner

    The Journal of the Royal College of General Practitioners
    |December 1, 1989
    PubMed
    Summary

    General practitioners (GPs) have a consistent workload of 38 hours weekly, including patient contact and travel. However, the key factors driving significant variations in GP workload remain unclear.

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    Area of Science:

    • Health Services Research
    • Primary Care Medicine
    • Medical Workforce Studies

    Background:

    • Accurate measurement of general practitioner (GP) workload is crucial for health service planning and resource allocation.
    • Previous studies have explored GP workload, but a comprehensive understanding of variations remains elusive.

    Purpose of the Study:

    • To review and synthesize findings from four Department of Health-sponsored studies on general practice workload.
    • To compare these findings with data from the general household survey.
    • To identify potential determinants of workload variation among general practitioners.

    Main Methods:

    • Review of four distinct studies measuring general practitioner workload.
    • Comparison of study data with general household survey data.

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  • Analysis of reported working hours, patient contact time, travel, and home visits.
  • Main Results:

    • Despite methodological differences, the four studies showed consistent measurements of GP workload: 38 hours in a normal week, including 24 hours of patient contact and 26 home visits.
    • In an annual average week, GPs perform 90% of this workload, accounting for leave.
    • Significant variations in workload were observed, but key determinants were not identified.

    Conclusions:

    • General practitioner workload measurements are consistent across different studies.
    • The underlying reasons for significant variations in GP workload are not fully understood.
    • Further research is needed to differentiate between expected and unexplained workload variations, potentially linked to personal preferences.