Frontiers in Psychiatry (Apr 2023)

Norms and T-scores for screeners of alcohol use, depression and anxiety in the population of Suriname

  • Edwin de Beurs,
  • Edwin de Beurs,
  • Raj Jadnanansing,
  • Kajal Etwaroo,
  • Matthijs Blankers,
  • Matthijs Blankers,
  • Matthijs Blankers,
  • Robbert Bipat,
  • Jaap Peen,
  • Jack Dekker,
  • Jack Dekker

DOI
https://doi.org/10.3389/fpsyt.2023.1088696
Journal volume & issue
Vol. 14

Abstract

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BackgroundThere is a considerable gap between care provision and the demand for care for common mental disorders in low-and-middle-income countries. Screening for these disorders, e.g., in primary care, will help to close this gap. However, appropriate norms and threshold values for screeners of common mental disorders are lacking.MethodsIn a survey study, we gathered data on frequently used screeners for alcohol use disorders, (AUDIT), depression, (CES-D), and anxiety disorders (GAD-7, ACQ, and BSQ) in a representative sample from Suriname, a non-Latin American Caribbean country. A stratified sampling method was used by random selection of 2,863 respondents from 5 rural and 12 urban resorts. We established descriptive statistics of all scale scores and investigated unidimensionality. Furthermore, we compared scores by gender, age-group, and education level with t-test and Mann–Whitney U tests, using a significance level of p < 0.05.ResultsNorms and crosswalk tables were established for the conversion of raw scores into a common metric: T-scores. Furthermore, recommended cut-off values on the T-score metric for severity levels were compared with international cut-off values for raw scores on these screeners.DiscussionThe appropriateness of these cut-offs and the value of converting raw scores into T-scores are discussed. Cut-off values help with screening and early detection of those who are likely to have a common mental health disorder and may require treatment. Conversion of raw scores to a common metric in this study facilitates the interpretation of questionnaire results for clinicians and can improve health care provision through measurement-based care.

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