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Kurt Kroenke - One of the best experts on this subject based on the ideXlab platform.
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Measurement Invariance of the patient health questionnaire 9 phq 9 depression screener in u s adults across sex race ethnicity and education level nhanes 2005 2016
Depression and Anxiety, 2019Co-Authors: Jay S Patel, Kevin L Rand, Melissa A Cyders, Kurt Kroenke, Jesse C StewartAbstract:BACKGROUND Despite its popularity, little is known about the Measurement Invariance of the Patient Health Questionnaire-9 (PHQ-9) across U.S. sociodemographic groups. Use of a screener shown not to possess Measurement Invariance could result in under/over-detection of depression, potentially exacerbating sociodemographic disparities in depression. Therefore, we assessed the factor structure and Measurement Invariance of the PHQ-9 across major U.S. sociodemographic groups. METHODS U.S. population representative data came from the 2005-2016 National Health and Nutrition Examination Survey (NHANES) cohorts. We conducted a Measurement Invariance analysis of 31,366 respondents across sociodemographic factors of sex, race/ethnicity, and education level. RESULTS Considering results of single-group confirmatory factor analyses (CFAs), depression theory, and research utility, we justify a two-factor structure for the PHQ-9 consisting of a cognitive/affective factor and a somatic factor (RMSEA = 0.034, TLI = 0.985, CFI = 0.989). On the basis of multiple-group CFAs testing configural, scalar, and strict factorial Invariance, we determined that Invariance held for sex, race/ethnicity, and education level groups, as all models demonstrated close model fit (RMSEA = 0.025-0.025, TLI = 0.985-0.992, CFI = 0.986-0.991). Finally, for all steps ΔCFI was <-0.004, and ΔRMSEA was <0.01. CONCLUSIONS We demonstrate that the PHQ-9 is acceptable to use in major U.S. sociodemographic groups and allows for meaningful comparisons in total, cognitive/affective, and somatic depressive symptoms across these groups, extending its use to the community. This knowledge is timely as medicine moves towards alternative payment models emphasizing high-quality and cost-efficient care, which will likely incentivize behavioral and population health efforts. We also provide a consistent, evidence-based approach for calculating PHQ-9 subscale scores.
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Measurement Invariance of the patient health questionnaire 9 phq 9 depression screener in u s adults across sex race ethnicity and education level nhanes 2005 2016
PMC, 2019Co-Authors: Jay Patel, Kevin L Rand, Melissa A Cyders, Kurt Kroenke, Jesse C StewartAbstract:Background: Despite its popularity, little is known about the Measurement Invariance of the Patient Health Questionnaire-9 (PHQ-9) across U.S. sociodemographic groups. Use of a screener shown not to possess Measurement Invariance could result in under-detection/treatment of depression, potentially exacerbating sociodemographic disparities in depression. Therefore, we assessed the factor structure and Measurement Invariance of the PHQ-9 across major U.S. sociodemographic groups. Methods: U.S. population representative data came from the 2005–2016 National Health and Nutrition Examination Survey (NHANES) cohorts We conducted a Measurement Invariance analysis of 31,366 respondents across sociodemographic factors of sex, race/ethnicity, and education level. Results: Considering results of single-group confirmatory factor analyses (CFAs), depression theory, and research utility, we justify a two-factor structure for the PHQ-9 consisting of a cognitive/affective factor and a somatic factor (RMSEA=0.034, TLI=0.985, CFI=0.989). Based on multiple-group CFAs testing configural, scalar, and strict factorial Invariance, we determined that Invariance held for sex, race/ethnicity, and education level groups, as all models demonstrated close model fit (RMSEA=0.025–0.025, TLI=0.985–0.992, CFI=0.986–0.991). Finally, for all steps ΔCFI was < −0.004, and ΔRMSEA was < 0.01. Conclusions: We demonstrate that the PHQ-9 is acceptable to use in major U.S. sociodemographic groups and allows for meaningful comparisons in total, cognitive/affective, and somatic depressive symptoms across these groups, extending its use to the community. This knowledge is timely as medicine moves towards alternative payment models emphasizing high-quality and cost-efficient care, which will likely incentivize behavioral and population health efforts. We also provide a consistent, evidence-based approach for calculating PHQ-9 subscale scores.
Jesse C Stewart - One of the best experts on this subject based on the ideXlab platform.
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Measurement Invariance of the patient health questionnaire 9 phq 9 depression screener in u s adults across sex race ethnicity and education level nhanes 2005 2016
Depression and Anxiety, 2019Co-Authors: Jay S Patel, Kevin L Rand, Melissa A Cyders, Kurt Kroenke, Jesse C StewartAbstract:BACKGROUND Despite its popularity, little is known about the Measurement Invariance of the Patient Health Questionnaire-9 (PHQ-9) across U.S. sociodemographic groups. Use of a screener shown not to possess Measurement Invariance could result in under/over-detection of depression, potentially exacerbating sociodemographic disparities in depression. Therefore, we assessed the factor structure and Measurement Invariance of the PHQ-9 across major U.S. sociodemographic groups. METHODS U.S. population representative data came from the 2005-2016 National Health and Nutrition Examination Survey (NHANES) cohorts. We conducted a Measurement Invariance analysis of 31,366 respondents across sociodemographic factors of sex, race/ethnicity, and education level. RESULTS Considering results of single-group confirmatory factor analyses (CFAs), depression theory, and research utility, we justify a two-factor structure for the PHQ-9 consisting of a cognitive/affective factor and a somatic factor (RMSEA = 0.034, TLI = 0.985, CFI = 0.989). On the basis of multiple-group CFAs testing configural, scalar, and strict factorial Invariance, we determined that Invariance held for sex, race/ethnicity, and education level groups, as all models demonstrated close model fit (RMSEA = 0.025-0.025, TLI = 0.985-0.992, CFI = 0.986-0.991). Finally, for all steps ΔCFI was <-0.004, and ΔRMSEA was <0.01. CONCLUSIONS We demonstrate that the PHQ-9 is acceptable to use in major U.S. sociodemographic groups and allows for meaningful comparisons in total, cognitive/affective, and somatic depressive symptoms across these groups, extending its use to the community. This knowledge is timely as medicine moves towards alternative payment models emphasizing high-quality and cost-efficient care, which will likely incentivize behavioral and population health efforts. We also provide a consistent, evidence-based approach for calculating PHQ-9 subscale scores.
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Measurement Invariance of the patient health questionnaire 9 phq 9 depression screener in u s adults across sex race ethnicity and education level nhanes 2005 2016
PMC, 2019Co-Authors: Jay Patel, Kevin L Rand, Melissa A Cyders, Kurt Kroenke, Jesse C StewartAbstract:Background: Despite its popularity, little is known about the Measurement Invariance of the Patient Health Questionnaire-9 (PHQ-9) across U.S. sociodemographic groups. Use of a screener shown not to possess Measurement Invariance could result in under-detection/treatment of depression, potentially exacerbating sociodemographic disparities in depression. Therefore, we assessed the factor structure and Measurement Invariance of the PHQ-9 across major U.S. sociodemographic groups. Methods: U.S. population representative data came from the 2005–2016 National Health and Nutrition Examination Survey (NHANES) cohorts We conducted a Measurement Invariance analysis of 31,366 respondents across sociodemographic factors of sex, race/ethnicity, and education level. Results: Considering results of single-group confirmatory factor analyses (CFAs), depression theory, and research utility, we justify a two-factor structure for the PHQ-9 consisting of a cognitive/affective factor and a somatic factor (RMSEA=0.034, TLI=0.985, CFI=0.989). Based on multiple-group CFAs testing configural, scalar, and strict factorial Invariance, we determined that Invariance held for sex, race/ethnicity, and education level groups, as all models demonstrated close model fit (RMSEA=0.025–0.025, TLI=0.985–0.992, CFI=0.986–0.991). Finally, for all steps ΔCFI was < −0.004, and ΔRMSEA was < 0.01. Conclusions: We demonstrate that the PHQ-9 is acceptable to use in major U.S. sociodemographic groups and allows for meaningful comparisons in total, cognitive/affective, and somatic depressive symptoms across these groups, extending its use to the community. This knowledge is timely as medicine moves towards alternative payment models emphasizing high-quality and cost-efficient care, which will likely incentivize behavioral and population health efforts. We also provide a consistent, evidence-based approach for calculating PHQ-9 subscale scores.
Juan Carlos Bazoalvarez - One of the best experts on this subject based on the ideXlab platform.
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valid group comparisons can be made with the patient health questionnaire phq 9 a Measurement Invariance study across groups by demographic characteristics
PLOS ONE, 2019Co-Authors: David Villarrealzegarra, Anthony Copezlonzoy, Antonio Bernabeortiz, G J Melendeztorres, Juan Carlos BazoalvarezAbstract:Objective Analyze the Measurement Invariance and the factor structure of the Patient Health Questionnaire-9 (PHQ-9) in the Peruvian population. Method Secondary data analysis performed using cross-sectional data from the Health Questionnaire of the Demographic and Health Survey in Peru. Variables of interest were the PHQ-9 and demographic characteristics (sex, age group, level of education, socioeconomic status, marital status, and area of residence). Factor structure was evaluated by standard confirmatory factor analysis (CFA), and Measurement Invariance by multi-group CFA, using standard goodness-of-fit indices criteria for interpreting results from both CFAs. Analysis of the internal consistency (α and ω) was also pursued. Results Data from 30,449 study participants were analyzed, 56.7% were women, average age was 40.5 years (standard deviation (SD) = 16.3), 65.9% lived in urban areas, 74.6% were married, and had 9 years of education on average (SD = 4.6). From standard CFA, a one-dimensional model presented the best fit (CFI = 0.936; RMSEA = 0.089; SRMR = 0.039). From multi-group CFA, all progressively restricted models had ΔCFI<0.01 across almost all groups by demographic characteristics. PHQ-9 reliability was optimal (α = ω = 0.87). Conclusions The evidence presents support for the one-dimensional model and Measurement Invariance of the PHQ-9 measure, allowing for reliable comparisons between sex, age groups, education level, socioeconomic status, marital status, and residence area, and recommends its use within the Peruvian population.
Antonio Bernabeortiz - One of the best experts on this subject based on the ideXlab platform.
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valid group comparisons can be made with the patient health questionnaire phq 9 a Measurement Invariance study across groups by demographic characteristics
PLOS ONE, 2019Co-Authors: David Villarrealzegarra, Anthony Copezlonzoy, Antonio Bernabeortiz, G J Melendeztorres, Juan Carlos BazoalvarezAbstract:Objective Analyze the Measurement Invariance and the factor structure of the Patient Health Questionnaire-9 (PHQ-9) in the Peruvian population. Method Secondary data analysis performed using cross-sectional data from the Health Questionnaire of the Demographic and Health Survey in Peru. Variables of interest were the PHQ-9 and demographic characteristics (sex, age group, level of education, socioeconomic status, marital status, and area of residence). Factor structure was evaluated by standard confirmatory factor analysis (CFA), and Measurement Invariance by multi-group CFA, using standard goodness-of-fit indices criteria for interpreting results from both CFAs. Analysis of the internal consistency (α and ω) was also pursued. Results Data from 30,449 study participants were analyzed, 56.7% were women, average age was 40.5 years (standard deviation (SD) = 16.3), 65.9% lived in urban areas, 74.6% were married, and had 9 years of education on average (SD = 4.6). From standard CFA, a one-dimensional model presented the best fit (CFI = 0.936; RMSEA = 0.089; SRMR = 0.039). From multi-group CFA, all progressively restricted models had ΔCFI<0.01 across almost all groups by demographic characteristics. PHQ-9 reliability was optimal (α = ω = 0.87). Conclusions The evidence presents support for the one-dimensional model and Measurement Invariance of the PHQ-9 measure, allowing for reliable comparisons between sex, age groups, education level, socioeconomic status, marital status, and residence area, and recommends its use within the Peruvian population.
Jay S Patel - One of the best experts on this subject based on the ideXlab platform.
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Measurement Invariance of the patient health questionnaire 9 phq 9 depression screener in u s adults across sex race ethnicity and education level nhanes 2005 2016
Depression and Anxiety, 2019Co-Authors: Jay S Patel, Kevin L Rand, Melissa A Cyders, Kurt Kroenke, Jesse C StewartAbstract:BACKGROUND Despite its popularity, little is known about the Measurement Invariance of the Patient Health Questionnaire-9 (PHQ-9) across U.S. sociodemographic groups. Use of a screener shown not to possess Measurement Invariance could result in under/over-detection of depression, potentially exacerbating sociodemographic disparities in depression. Therefore, we assessed the factor structure and Measurement Invariance of the PHQ-9 across major U.S. sociodemographic groups. METHODS U.S. population representative data came from the 2005-2016 National Health and Nutrition Examination Survey (NHANES) cohorts. We conducted a Measurement Invariance analysis of 31,366 respondents across sociodemographic factors of sex, race/ethnicity, and education level. RESULTS Considering results of single-group confirmatory factor analyses (CFAs), depression theory, and research utility, we justify a two-factor structure for the PHQ-9 consisting of a cognitive/affective factor and a somatic factor (RMSEA = 0.034, TLI = 0.985, CFI = 0.989). On the basis of multiple-group CFAs testing configural, scalar, and strict factorial Invariance, we determined that Invariance held for sex, race/ethnicity, and education level groups, as all models demonstrated close model fit (RMSEA = 0.025-0.025, TLI = 0.985-0.992, CFI = 0.986-0.991). Finally, for all steps ΔCFI was <-0.004, and ΔRMSEA was <0.01. CONCLUSIONS We demonstrate that the PHQ-9 is acceptable to use in major U.S. sociodemographic groups and allows for meaningful comparisons in total, cognitive/affective, and somatic depressive symptoms across these groups, extending its use to the community. This knowledge is timely as medicine moves towards alternative payment models emphasizing high-quality and cost-efficient care, which will likely incentivize behavioral and population health efforts. We also provide a consistent, evidence-based approach for calculating PHQ-9 subscale scores.
