Measuring depression in Primary Health Care in Spain : Psychometric properties and diagnostic accuracy of HSCL-5 and HSCL-10
Rodríguez-Barragán, María (Universitat Autònoma de Barcelona. Departament de Pediatria, d'Obstetrícia i Ginecologia i de Medicina Preventiva)
Fernández-San-Martín, María Isabel (Institut Català de la Salut)
Clavería, Ana (Servicio Gallego de Salud (SERGAS), Vigo)
Le Reste, Jean Yves (Université de Bretagne Occidentale)
Nabbe, Patrice (Université de Bretagne Occidentale)
Motrico, Emma (Universidad Loyola)
Gómez-Gómez, Irene (Universidad Loyola)
Peguero-Rodríguez, Eva (Universitat de Barcelona. Departamento de Ciencias Clinicas)

Data:	2023
Resum:	Depression has a high prevalence among European countries. Several instruments have been designed to assess its symptoms in different populations. The Hopkins Symptom Checklist 25 (HSCL-25) scale has been identified as valid, reproducible, effective, and easy to use. There are short versions of this scale that could be useful in Primary Care (PC) settings, but their psychometric properties are unknown. To assess in PC patients the psychometric properties and diagnostic accuracy of the Spanish version of the HSCL-10 and the HSCL-5 consisting of 10 and 5 items, respectively. A multicenter, cross-sectional study was carried out at six PC centers in Spain. The HSCL-25 was administered to outpatients aged 45-75 who also participated in the structured Composite International Diagnostic Interview (CIDI). HSCL-10 and HSCL-5 were assessed and compared to HSCL-25 regarding total score correlation, internal consistency, and criterion validity against the gold-standard CIDI. This is a methodological study from a secondary data analysis and the primary data has been previously published. Out of 790 patients, 767 completed the HSCL-25 and 736 the CIDI interview (96. 0%). Cronbach's Alpha was 0. 84 for HSCL-10 and 0. 77 for HSCL-5. The known-group method and confirmatory factor analysis were acceptable for the establishment of construct validity. Sensitivity was 79. 7% (CI95%, 67. 7-88. 0%) for HSCL-10, and 78. 0% (CI95%, 65. 9-86. 6%) for HSCL-5, whereas specificity was 83% (CI95%, 80. 0-85. 7%) for HSCL-10, and 72. 8% (CI95%, 69. 3-76. 0%) for HSCL-5. Area under the curve against CIDI was 0. 88 (CI95%, 0. 84-0. 92%) for HSCL-10, and 0. 85 (CI95%, 0. 81-0. 89%) for HSCL-5. Optimum cutoff point calculated with Youden Index was 1. 90 for the HSCL-10 and 1. 80 for the HSCL-5. HSCL-10 and HSCL-5 are reliable and valid tools to detect depression symptoms and can be used in PC settings.
Ajuts:	Ministerio de Economía y Competitividad PI15/00114 Ministerio de Economía y Competitividad PI15/00565 Ministerio de Economía y Competitividad PI15/00762 Ministerio de Economía y Competitividad PI15/01072 Ministerio de Economía y Competitividad PI15/00896 Ministerio de Economía y Competitividad PI15/01412 Ministerio de Economía y Competitividad PI15/01151 Ministerio de Economía y Competitividad PI15/00519 Ministerio de Economía y Competitividad PI15/01133 Ministerio de Economía y Competitividad RD12/0005/0001 Ministerio de Economía y Competitividad RD16/0007/0001 Ministerio de Economía y Competitividad RD16/0007/0002 Ministerio de Economía y Competitividad RD16/0007/0003 Ministerio de Economía y Competitividad RD16/0007/0004 Ministerio de Economía y Competitividad RD16/0007/0006 Ministerio de Economía y Competitividad RD16/0007/0008 Ministerio de Economía y Competitividad RD16/0007/0009 Ministerio de Economía y Competitividad RD16/0007/0010 Ministerio de Economía y Competitividad RD16/0007/0012 Ministerio de Economía y Competitividad RD16/0007/0013 Ministerio de Economía y Competitividad RD16/0007/0015
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Depression ; Hopkins Symptom Checklist ; Primary Health Care (MeSH) ; Patient reported outcome measures (MeSH) ; Diagnostic accuracy ; Psychometric properties
Publicat a:	Frontiers in Medicine, Vol. 9 (january 2023) , ISSN 2296-858X

DOI: 10.3389/fmed.2022.1014340
PMID: 36698836

13 p, 662.9 KB

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