Screening for depression in the Serbian general population sample: an alternative to the traditional patient health questionnaire-9 cut-off score

J Public Health (Oxf). 2024 Feb 23;46(1):e15-e22. doi: 10.1093/pubmed/fdad204.

Abstract

Background: The Patient Health Questionnaire (PHQ-9) score ≥ 10 balances best sensitivity and specificity when detecting probable depression in patients. In the general population, different cut-offs are suggested. European studies on general populations validating the PHQ-9 against a diagnostic interview to detect depression are rare.

Methods: This was a cross-sectional observational epidemiological survey using multistage household probabilistic sampling to recruit a representative adult sample (N = 1203; age = 43.7 ± 13.6; 48.7% male). Mental disorders including current major depressive episode (MDE) were observer-rated (Mini International Neuropsychiatric Interview). The PHQ-9, quality of life (QoL), and loneliness were self-assessed. We performed validity and reliability tests of the PHQ-9 and receiver operating curve (ROC) analysis.

Results: The Serbian PHQ-9 was internally consistent and correlated in the expected directions with QoL and loneliness. At the cut-off score ≥ 8, sensitivity was .85 and specificity was .91. ROC analysis showed that the area under the curve was .95, indicating that the Serbian PHQ-9 can discriminate very well between persons with/without MDE.

Conclusions: When the PHQ-9 is assessed against the structured diagnostic interview in the general population to detect depression, the cut-off of ≥8 balances best sensitivity and specificity.

Keywords: cut-off score; depression; general population; screening; the PHQ-9.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Depression / diagnosis
  • Depression / epidemiology
  • Depression / psychology
  • Depressive Disorder, Major* / diagnosis
  • Depressive Disorder, Major* / epidemiology
  • Depressive Disorder, Major* / psychology
  • Female
  • Humans
  • Male
  • Mass Screening
  • Middle Aged
  • Patient Health Questionnaire*
  • Psychometrics
  • Quality of Life
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Serbia / epidemiology
  • Surveys and Questionnaires