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RESEARCH PRODUCT
Factor structure and measurement invariance across various demographic groups and over time for the phq-9 in primary care patients in spain
César González-blanchLeonardo A. MedranoRoger Muñoz-navarroPaloma Ruiz RodríguezJuan Antonio MorianaJoaquín T. LimoneroFlorián SchmitzAntonio Cano-vindelPsicap Research Groupsubject
MaleTime FactorsEconomicsEmotionsMedizinSocial Scienceslcsh:MedicinePatient Health QuestionnaireGeographical locationslaw.invention0302 clinical medicineMathematical and Statistical TechniquesRandomized controlled triallawMedicine and Health SciencesMedicinePsychologyYoung adultlcsh:ScienceDepression (differential diagnoses)MultidisciplinaryPharmaceuticsDepressionMiddle AgedConfirmatory factor analysisTest (assessment)EuropePhysical SciencesMarital statusPsicometríaFemaleFactor AnalysisStatistics (Mathematics)Research ArticleEmploymentAdultAdolescentResearch and Analysis Methods03 medical and health sciencesYoung AdultDrug TherapyDiagnostic MedicineMental Health and PsychiatryHumansMeasurement invarianceEuropean UnionStatistical MethodsPrimary CarePrimary Health Carebusiness.industryMood Disorderslcsh:RBiology and Life Sciences030227 psychiatryPatient Health QuestionnaireHealth CarePsychologieSocioeconomic FactorsPsicologiaSpainLabor Economicslcsh:QPeople and placesbusinessFactor Analysis Statistical030217 neurology & neurosurgeryMathematicsDemographydescription
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. CA extern
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-02-23 |