Mental Health Centre, University Hospital "Marqués de Valdecilla"- IDIVAL, Santander, Spain.
Faculty of Psychology, University Siglo 21, Córdoba, Argentina.
PLoS One. 2018 Feb 23;13(2):e0193356. doi: 10.1371/journal.pone.0193356. eCollection 2018.
The Patient Health Questionnaire (PHQ-9) is a widely-used screening tool for depression in primary care settings. The purpose of the present study is to identify the factor structure of the PHQ-9 and to examine the measurement invariance of this instrument across different sociodemographic groups and over time in a sample of primary care patients in Spain. Data came from 836 primary care patients enrolled in a randomized controlled trial (PsicAP study) and a subsample of 218 patients who participated in a follow-up assessment at 3 months. Confirmatory factor analysis (CFA) was used to test one- and two-factor structures identified in previous studies. Analyses of multiple-group invariance were conducted to determine the extent to which the factor structure is comparable across various demographic groups (i.e., gender, age, marital status, level of education, and employment situation) and over time. Both one-factor and two-factor re-specified models met all the pre-established fit criteria. However, because the factors identified in the two-factor model were highly correlated (r = .86), the one-factor model was preferred for its parsimony. Multi-group CFA indicated measurement invariance across different demographic groups and across time. The present findings suggest that physicians in Spain can use the PHQ-9 to obtain a global score for depression severity in different demographic groups and to reliably monitor changes over time in the primary care setting.
患者健康问卷 (PHQ-9) 是一种广泛用于初级保健环境中抑郁筛查的工具。本研究旨在确定 PHQ-9 的因子结构,并在西班牙初级保健患者样本中,考察该工具在不同社会人口学群体和不同时间的测量不变性。数据来自参加随机对照试验 (PsicAP 研究) 的 836 名初级保健患者和参加 3 个月随访评估的 218 名患者的亚样本。验证性因子分析 (CFA) 用于测试先前研究中确定的单因素和双因素结构。进行多组不变性分析,以确定因子结构在不同人口统计学群体(即性别、年龄、婚姻状况、教育程度和就业状况)和不同时间的可比程度。单因素和双因素重新指定模型均符合所有预先设定的拟合标准。然而,由于双因素模型中确定的因素高度相关 (r =.86),因此单因素模型因其简约性而更受青睐。多组 CFA 表明在不同人口统计学群体和不同时间具有测量不变性。本研究结果表明,西班牙的医生可以使用 PHQ-9 在不同人口统计学群体中获得抑郁严重程度的总体得分,并在初级保健环境中可靠地监测随时间的变化。