Work

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

Year: 2022

Type: conference-paper

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.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2022.09.089

Authors: Darragh Glavin, Eduardo Maekawa, Eoin Martino Grua, Carina Akemi Nakamura, Marcia Scazufca, Ricardo Araya, Tim J Peters, William Hollingworth, Pepijn van de Ven

Institutions: University of Limerick, Universidade de São Paulo, King's College London, University of Bristol

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: Wellcome Trust, Department for International Development, UK Government, Science Foundation Ireland, Fundação de Amparo à Pesquisa do Estado de São Paulo, Department for International Development, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Medical Research Council

Awards: SFI Centre for Research Training in Foundations of Data Science, G525976162, G5484137207, G5663992388, G5690363082, Cluster randomised controlled trial for late life Depression in socieconomically deprived areas of São Paulo, Brazil, Cluster randomised controlled trial (RCT) for late life depression in socioeconomically deprived areas of São Paulo, Brazil (PROACTIVE), G7478306561, G8897106606

OpenAlex ID: W4296501278

FWCI: 0.697

Cites: 24

Cited by: 4

Related to: 10