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A computerized version of the Patient Health Questionnaire-4 as an ultra-brief screening tool to detect emotional disorders in primary care

dc.contributor.authorCano Vindel, Antonio
dc.contributor.authorMuñoz-Navarro, Roger
dc.contributor.authorMedrano, Leonardo Adrián
dc.contributor.authorRuiz-Rodríguez, Paloma
dc.contributor.authorGonzález-Blanch, César
dc.contributor.authorGómez-Castillo, María Dolores
dc.contributor.authorCapafons, Antonio
dc.contributor.authorChacón Fuertes, Fernando
dc.contributor.authorSantolaya, Francisco
dc.date.accessioned2023-06-17T12:32:54Z
dc.date.available2023-06-17T12:32:54Z
dc.date.issued2018-02-19
dc.description.abstractAbstract Background: The Patient Health Questionnaire-4 (PHQ-4) is an ultra-brief self-report consisting of a 2-item depression scale (PHQ-2) and a 2-item anxiety scale (GAD-2). The aim of the present study is to determine the psychometric properties of a computerized version of the PHQ-4 used to detect emotional disorders (anxiety and depression) in the primary care setting. Method: A total of 1052 patients with suspected anxiety, depression, or somatic symptoms were recruited from 28 primary care centres participating in the PsicAP trial and completed the full version of the computerized PHQ. In addition, 178 of these patients also underwent in clinical interviews as a gold standard. Results: Confirmatory factor analyses showed very good fit indices for a two-factor solution. This model was structurally invariant among the various age and gender groups and internal consistency was acceptable (PHQ-4; α = .83, PHQ-2; α = .86, and GAD-2; α = .76). The best cut-off points to obtain high sensitivity values was 3, on both the PHQ-2 (major depressive disorder) and the GAD-2 (generalized anxiety disorder). The criterion validity (sensitivity and specificity) for the PHQ-2 were .90 and .61 and for the GAD-2, .88 and 0.61. Limitations: The study was not designed as a prevalence study. Therefore, does not contain information on patients whose general practitioners do not consider them to suffer emotional disorders. Conclusion: This is the first study to provide evidence for the reliability and validity of a computerized version of the PHQ-4. This computerized tool can be used to detect depression and anxiety in a primary care setting. Keywords: Emotional disorders; Factor structure analyses; General Anxiety Disorder-2; General anxiety disorder; Major depression; Patient Health Questionnaire-2; Patient Health Questionnaire-4; Primary care; Psychometric properties.
dc.description.departmentDepto. de Psicología Experimental, Procesos Cognitivos y Logopedia
dc.description.departmentDepto. de Psicología Social, del Trabajo y Diferencial
dc.description.facultyFac. de Psicología
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/63903
dc.identifier.doi10.1016/j.jad.2018.01.030
dc.identifier.issn01650327
dc.identifier.officialurlhttps://doi.org/10.1016/j.jad.2018.01.030
dc.identifier.urihttps://hdl.handle.net/20.500.14352/12459
dc.journal.titleJournal of Affective Disorders
dc.language.isoeng
dc.page.final255
dc.page.initial247
dc.publisherElsevier
dc.rights.accessRightsrestricted access
dc.subject.keywordEmotional disorders
dc.subject.keywordFactor structure analyses
dc.subject.keywordGeneral Anxiety Disorder-2
dc.subject.keywordGeneral anxiety disorder
dc.subject.keywordMajor depression
dc.subject.keywordPatient Health Questionnaire-2
dc.subject.keywordPatient Health Questionnaire-4
dc.subject.keywordPrimary care
dc.subject.keywordPsychometric properties.
dc.subject.ucmAtención primaria y medicina de familia
dc.subject.ucmPsiquiatría
dc.subject.ucmPsicología clínica y psicodiagnóstico
dc.subject.ucmPsicometría
dc.subject.ucmEmoción y agresividad
dc.subject.ucmEstrés y relajación
dc.subject.ucmMedicina psicosomática
dc.subject.unesco3211 Psiquiatría
dc.subject.unesco6101 Patología
dc.subject.unesco6105.05 Psicometría
dc.subject.unesco6106.03 Emoción
dc.titleA computerized version of the Patient Health Questionnaire-4 as an ultra-brief screening tool to detect emotional disorders in primary care
dc.typejournal article
dc.volume.number234
dspace.entity.typePublication
relation.isAuthorOfPublicationb4b87f9c-c550-40b5-b9c1-a4bd37e02091
relation.isAuthorOfPublication.latestForDiscoveryb4b87f9c-c550-40b5-b9c1-a4bd37e02091

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