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The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
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Estimating the prevalence of drinking problems among physicians.

Friedrich M Wurst1, Hans-Jürgen Rumpf, Gregory E Skipper

  • 1Department of Psychiatry and Psychotherapy II, Christian-Doppler-Hospital, Paracelsus-Medical University, A-5020, Salzburg, Austria.

General Hospital Psychiatry
|July 10, 2013
PubMed
Summary

Uncorrected screening for physician alcohol problems using the AUDIT or AUDIT-C significantly overestimates prevalence. Corrected estimates reveal lower rates, emphasizing the need for accurate diagnostic methods in physician health assessments.

Keywords:
Alcohol Use Disorders Identification TestBiasCorrectionPhysicianPrevalence

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Area of Science:

  • Medical research
  • Public health
  • Epidemiology

Background:

  • Physician alcohol use is commonly assessed using the Alcohol Use Disorders Identification Test (AUDIT) or its shorter version, AUDIT-C.
  • Prevalence estimates from these screening tools depend on test accuracy and chosen cutoff values.

Purpose of the Study:

  • To derive more precise prevalence estimates of alcohol problems in physicians.
  • To correct for false-positive and false-negative results in alcohol use screening among physicians.

Main Methods:

  • A survey using the AUDIT was distributed to 2484 physicians in Salzburg, Austria, with 456 participants.
  • A published correction formula, incorporating general population data and test sensitivity/specificity, was applied to estimate true prevalence.

Main Results:

  • Uncorrected AUDIT-C screening showed 15.7% of females and 37.7% of males positive. Corrected rates were 4.0% (female) and 9.5% (male).
  • Uncorrected full AUDIT screening showed 19.6% of females and 48% of males positive. Corrected rates were 6.3% (female) and 15.5% (male).

Conclusions:

  • Uncorrected screening results for physician drinking problems can markedly overestimate their actual prevalence.
  • Accurate prevalence estimation requires correcting for screening test inaccuracies.