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Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
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Estimating patient demographic profiles from practice location.

Michael Shortt1, William Hogg, Rose Anne Devlin

  • 1McGill University, Montreal, Que. michael.shortt@mail.mcgill.ca

Canadian Family Physician Medecin De Famille Canadien
|May 23, 2012
PubMed
Summary
This summary is machine-generated.

Imputing patient socioeconomic characteristics using census data based on practice location is inaccurate. Significant differences between patient survey data and census data indicate this method is not advisable for research or practice.

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Area of Science:

  • Health Services Research
  • Biostatistics
  • Epidemiology

Background:

  • Accurate socioeconomic data is crucial for understanding health disparities.
  • Census data is often used to approximate patient socioeconomic status (SES) in primary care settings.
  • The reliability of using geographically linked census data for SES imputation requires validation.

Purpose of the Study:

  • To evaluate the accuracy of imputing average socioeconomic characteristics of a practice's patient population using geographically centered census data.
  • To compare the efficacy of imputation methods based on practice location against actual patient survey data.

Main Methods:

  • A cross-sectional study involving 4413 patients from 116 urban primary care practices in Ontario.
  • Comparison of patient-reported socioeconomic data (education, income) with aggregated census data at practice locations.
  • Statistical analysis using mean absolute relative error (ARE), median ARE, and Spearman rank correlations to quantify discrepancies.

Main Results:

  • Large discrepancies were observed between patient socioeconomic profiles and corresponding census data.
  • Mean absolute relative errors (AREs) ranged from 0.70 to 0.80, with median AREs reaching 1.67.
  • Spearman rank correlations indicated low to moderate associations (ρ = 0.02 to 0.48) between patient and census data, irrespective of aggregation level.

Conclusions:

  • Imputation of patient socioeconomic characteristics based solely on practice location and census data is unreliable.
  • Observed significant differences suggest that this imputation method is inadvisable for accurately representing patient populations.
  • Further research into more precise methods for SES assessment in primary care research is warranted.