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Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis

2019· review· en· 1 724 citations· W2937440490 sur OpenAlex· 10.1136/bmj.l1476

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Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

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Scores machine (provisoires)

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Tête enseignante Opus0,618
Tête enseignante GPT0,576
Écart entre enseignants
0,042 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validation
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Résumé

OBJECTIVE: To determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression. DESIGN: Individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-February 2015). INCLUSION CRITERIA: Eligible studies compared PHQ-9 scores with major depression diagnoses from validated diagnostic interviews. Primary study data and study level data extracted from primary reports were synthesized. For PHQ-9 cut-off scores 5-15, bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, among studies that used semistructured diagnostic interviews, which are designed for administration by clinicians; fully structured interviews, which are designed for lay administration; and the Mini International Neuropsychiatric (MINI) diagnostic interviews, a brief fully structured interview. Sensitivity and specificity were examined among participant subgroups and, separately, using meta-regression, considering all subgroup variables in a single model. RESULTS: Data were obtained for 58 of 72 eligible studies (total n=17 357; major depression cases n=2312). Combined sensitivity and specificity was maximized at a cut-off score of 10 or above among studies using a semistructured interview (29 studies, 6725 participants; sensitivity 0.88, 95% confidence interval 0.83 to 0.92; specificity 0.85, 0.82 to 0.88). Across cut-off scores 5-15, sensitivity with semistructured interviews was 5-22% higher than for fully structured interviews (MINI excluded; 14 studies, 7680 participants) and 2-15% higher than for the MINI (15 studies, 2952 participants). Specificity was similar across diagnostic interviews. The PHQ-9 seems to be similarly sensitive but may be less specific for younger patients than for older patients; a cut-off score of 10 or above can be used regardless of age.. CONCLUSIONS: PHQ-9 sensitivity compared with semistructured diagnostic interviews was greater than in previous conventional meta-analyses that combined reference standards. A cut-off score of 10 or above maximized combined sensitivity and specificity overall and for subgroups. REGISTRATION: PROSPERO CRD42014010673.

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La notice

Revue
BMJ
Thématique
Mental Health Treatment and Access
Domaine
Psychology
Établissements canadiens
McGill UniversityJewish General Hospital
Organismes subventionnaires
Canadian Arthritis NetworkNational Institute on Minority Health and Health DisparitiesNational Center for Research ResourcesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of Mental HealthNational Health and Medical Research CouncilMedical Research CouncilNational Center for Medical Rehabilitation ResearchFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchNational Institute on Disability and Rehabilitation ResearchAgency for Healthcare Research and QualityCenters for Disease Control and PreventionNational Institutes of HealthNational Institute of General Medical SciencesH. Lundbeck A/SChinese Diabetes SocietyHealth Research Council of New ZealandNational Health Research InstitutesAlberta Health ServicesJewish General HospitalBundesministerium für Bildung und ForschungSafe Work AustraliaNational Heart, Lung, and Blood InstituteTehran University of Medical Sciences and Health ServicesUniversity of CalgaryMahidol UniversityEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentZonMwDeutsche RentenversicherungUniversidade de MacauEli Lilly and CompanyScleroderma Society of OntarioMinistry of Health, Labour and WelfareUniversity of WashingtonUniversität HeidelbergEuropean CommissionHotchkiss Brain Institute, University of CalgaryOhio Board of RegentsPfizer
Mots-clés
PsycINFOMeta-analysisConfidence intervalPatient Health QuestionnaireMedicineMEDLINEBivariate analysisDepression (economics)Medical diagnosisClinical psychologyDepressive symptomsPsychiatryInternal medicineMachine learningPathologyCognition
Résumé présent dans OpenAlex
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