Patient Health Questionnaire (PHQ-9): a systematic review and a meta-analysis of reliability generalization

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Depression is a significant public health problem, which makes it necessary to understand the psychometric properties of the instruments used for its evaluation to facilitate better decision-making. The Patient Health Questionnaire (PHQ-9) is an instrument that achieves optimal accuracy levels in me...

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Detalles Bibliográficos
Autores: Ortiz Morán, Mafalda, Vásquez Vega, Jeanette, Correa Aranguren, Iris Gladys, Reyes Rodríguez, Javier Andrés, Laura Barraza, Emerson Walter, Livia Segovia, José
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana Cayetano Heredia
Repositorio:Revistas - Universidad Peruana Cayetano Heredia
Lenguaje:español
OAI Identifier:oai:revistas.upch.edu.pe:article/5264
Enlace del recurso:https://revistas.upch.edu.pe/index.php/RNP/article/view/5264
Nivel de acceso:acceso abierto
Materia:depression
PHQ-9
meta-analysis
reliability generalization
Cronbach's alpha
depresión
metaanálisis
generalización de la fiabilidad
alfa de Cronbach
Descripción
Sumario:Depression is a significant public health problem, which makes it necessary to understand the psychometric properties of the instruments used for its evaluation to facilitate better decision-making. The Patient Health Questionnaire (PHQ-9) is an instrument that achieves optimal accuracy levels in measuring depression. Therefore, the objective of this study was to conduct a meta-analysis to generalize its reliability. A systematic search conducted in Web of Science and Scopus between 2020 and 2022 retrieved 32 studies that applied the PHQ-9 and reported Cronbach's alpha. A random effects meta-analysis was performed to estimate the test reliability, while heterogeneity was assessed using Cochran's Q and I2 statistics. Potential moderating variables were examined through meta-regression and subgroup analyses. The combined reliability of the PHQ-9 was 0.846 (95% CI: 0.824-0.862). The Egger test and Kendall’s τ rank correlation test indicated no significant evidence of publication bias in the evaluated data. Also, there was also statistically significant heterogeneity in the total sample, determined by the Q test and the I2 variability index. The meta-regression analysis showed that the type of sample (clinical vs. general) is a statistically significant moderator. This meta-analytical study demonstrates that the PHQ-9 has good internal consistency and is suitable for research purposes.
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