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Related Experiment Videos

A pitfall in sampling medical visits

D S Shepard, R Neutra

    American Journal of Public Health
    |August 1, 1977
    PubMed
    Summary
    This summary is machine-generated.

    Sampling outpatient visits for chronic conditions can be biased. Weighting patient visits inversely to frequency corrects this bias, providing more accurate health facility user estimates and patient characteristic data.

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    Area of Science:

    • Health Services Research
    • Biostatistics
    • Epidemiology

    Background:

    • Outpatient visit samples are commonly used to identify patients with chronic conditions.
    • These samples can introduce bias due to overrepresentation of patients with frequent visits.

    Purpose of the Study:

    • To introduce and validate a weighting procedure to mitigate sampling bias in outpatient settings.
    • To accurately estimate the number and characteristics of hypertensive patients in a teaching hospital's medical clinic.

    Main Methods:

    • A weighting procedure was applied, assigning weights inversely proportional to each patient's total clinic visits.
    • This method was used to analyze data from outpatient visits at a teaching hospital.

    Main Results:

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    • The unweighted estimate for hypertensive patients was 7,373, significantly higher than the weighted estimate of 2,250.
    • Weighting reduced the estimated annual visits per hypertensive patient by nearly 50%.
    • The proportion of hypertensives under treatment after 18 months was estimated at 68% without weighting versus 51% with weighting.

    Conclusions:

    • Failure to implement weighting procedures can lead to substantial overestimation of patient populations and treatment outcomes.
    • The proposed weighting method is critical for accurate health services research and understanding chronic disease management.
    • This approach is applicable to various sampling challenges within health services research.