Validity of the PHQ-9 and PHQ-2 to screen for depression in nationwide primary care population in Latvia

Elmars Rancans, Marcis Trapencieris, Rolands Ivanovs, Jelena Vrublevska

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)
104 Downloads (Pure)

Abstract

Background: Depression is highly underdiagnosed in primary care settings in Latvia. Screening for depression in primary care is potentially an efficient way to find undetected case s and improve diagnostics. We aimed to validate both a nine-item and two-item Patient Health Questionnaire (PHQ-9 and PHQ-2) in the Latvian and Russian languages in primary care settings using a representative sample in Latvia. Materials and methods: The study was carried out within the framework of the National Research Program BIOMEDICINE to assess the prevalence of mental disorders at 24 primary care facilities. During a 1-week period, all consecutive adult patients were invited to complete the PHQ-9 and PHQ-2. Criterion validity was assessed against the Mini International Neuropsychiatric Interview (MINI). Results: There were 1467 patients who completed the PHQ-9 and the MINI. Overall, the PHQ-9 items showed good internal reliability (Cronbach's alpha 0.81 for Latvian version and 0.79 for Russian version of the PHQ-9). A cut-off score of 8 or greater was established for the PHQ-9 (sensitivity 0.75 and 0.79, specificity 0.84 and 0.80 for Latvian and Russian languages, respectively). For the PHQ-2, a score of 2 or higher (sensitivity 0.79 and 0.79, specificity 0.65 and 0.67 for Latvian and Russian languages) detected more cases of depression than a score of 3 or higher. Conclusions: We suggest GPs ask patients to respond to the first 2 questions of the PHQ-9. If their score is positive, the patients should then complete the PHQ-9.

Original languageEnglish
Article number33
JournalAnnals of General Psychiatry
Volume17
Issue number1
DOIs
Publication statusPublished - 2 Aug 2018

Keywords*

  • Depression
  • General practitioners
  • Primary care
  • Validation

Field of Science*

  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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