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Generating social class data in primary care

P Ward1, A J Morton-Jones, M A Pringle

  • 1Department of Public Health Medicine and Epidemiology, University of Nottingham, Medical School, Queen's Medical Centre.

Public Health
|July 1, 1994
PubMed
Summary
This summary is machine-generated.

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Collecting social class data in general practice revealed that while personal questionnaires are best for individual assessment, the weighted small area statistics method offers a cost-effective and accurate approach for health needs assessment.

Area of Science:

  • General Practice
  • Health Services Research
  • Social Epidemiology

Background:

  • Accurate social class data is crucial for understanding health inequalities.
  • General practices require efficient methods for collecting social class information for health needs assessment.

Purpose of the Study:

  • To compare the reliability and accuracy of three social class data collection methods in a general practice setting.
  • To evaluate self-administered questionnaires, practice staff knowledge, and small area statistics (SAS).

Main Methods:

  • A self-administered questionnaire was used with 200 patients.
  • Practice staff assigned social class based on local knowledge.
  • Small area statistics (SAS) from the 1991 census (modal and weighted methods) were applied using postcode data.

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Main Results:

  • Practice staff could not reliably assign social class.
  • The modal SAS method using postcodes and census data proved inaccurate.
  • The weighted SAS method demonstrated cost-effectiveness and sufficient accuracy for health needs assessment.

Conclusions:

  • Personal questionnaires remain essential for individual patient social class determination.
  • Weighted small area statistics offer a viable, cost-effective solution for general practice health needs assessment.
  • This method enhances the ability to address social determinants of health at a practice level.