Other PHQ-9 item pairings are better than the PHQ-2: A Machine Learning analysis

Darragh Glavin, Eduardo Maekawa, Eoin Martino Grua, Carina Akemi Nakamura, Marcia Scazufca, Ricardo Araya, Tim J. Peters, William Hollingworth, Pepijn Van De Ven

Research output: Contribution to journalConference articlepeer-review

Abstract

The Patient Health Questionnaire-2 (PHQ-2) is the most commonly used ultra-brief depressive symptomatology pre-screening instrument. However, this analysis demonstrated the PHQ-2 is not superior to other PHQ-9 item pairings in this sample. 12 out of the 36 pairings had an equal or higher cross-validation area under the receiver operating characteristic curve than the PHQ-2. The two pairings of phq2&4 and phq2&8 performed best and suggest low energy or psychomotor retardation or agitation may be more discriminatory symptoms than anhedonia. Pairings were combined with machine learning models which are not restricted to the summation and greater-than-or-equal-to logic of the PHQ-2 thresholds.

Original languageEnglish
Pages (from-to)101-110
Number of pages10
JournalProcedia Computer Science
Volume206
DOIs
Publication statusPublished - 2022
Event11th Scientific Meeting of the International Society for Research on Internet Interventions, ISRII 2022 - Pittsburgh, United States
Duration: 18 Sep 202222 Sep 2022

Keywords

  • Depression
  • Depressive symptomatology
  • Machine Learning
  • PHQ-2
  • PHQ-9 items
  • Ultra-brief questionnaires

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