Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groups

Background: The Patient Health Questionnaire-9 (PHQ-9), a self-reported depression screening instrument for measurement-based care (MBC), may have cross-cultural measurement invariance (MI) with a regional group of American Indian/Alaska Native (AI/AN) and non-Hispanic White adults. However, to ensu...

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Main Authors: Melissa L. Harry, R. Yates Coley, Stephen C. Waring, Gregory E. Simon
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Journal of Affective Disorders Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666915321000482
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spelling doaj-5b8df114aa1d4bb0a42f3993933794142021-04-22T13:42:38ZengElsevierJournal of Affective Disorders Reports2666-91532021-04-014100121Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groupsMelissa L. Harry0R. Yates Coley1Stephen C. Waring2Gregory E. Simon3Essentia Health, Essentia Institute of Rural Health, 502 East Second Street, Duluth, MN 55805, United States; Corresponding author.Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600 Seattle, WA 98101-1466, United StatesEssentia Health, Essentia Institute of Rural Health, 502 East Second Street, Duluth, MN 55805, United StatesKaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Suite 1600 Seattle, WA 98101-1466, United StatesBackground: The Patient Health Questionnaire-9 (PHQ-9), a self-reported depression screening instrument for measurement-based care (MBC), may have cross-cultural measurement invariance (MI) with a regional group of American Indian/Alaska Native (AI/AN) and non-Hispanic White adults. However, to ensure health equity, research was needed on the cross-cultural MI of the PHQ-9 between other groups of AI/AN peoples and diverse populations. Methods: We assessed the MI of the one-factor PHQ-9 model and five previously identified two-factor models between non-Hispanic AI/AN adults (ages 18–64) from healthcare systems A (n = 1759) and B (n = 2701) using secondary data and robust maximum likelihood estimation. We then tested models for full or partial MI between either combined or separate AI/AN groups, respectively, and Hispanic (n = 7974), White (n = 7,974), Asian (n = 6988), Black (n = 6213), and Native Hawaiian/Pacific Islander (n = 1370) adults from healthcare system B. All had mental health or substance use disorder diagnoses and were seen in behavioral health or primary care settings from 1/1/2009 to 9/30/2017. Results: The one-factor PHQ-9 model was partially invariant, with two-factor models partially, or in one case fully, invariant between AI/AN groups. The one-factor model and three two-factor models were partially invariant between all seven groups, while a two-factor model was fully invariant and another partially invariant between a combined AI/AN group and other racial and ethnic groups. Conclusions: Achieving health equity in MBC requires ensuring the cross-cultural validity of measurement tools. Before comparing mean scores, PHQ-9 models should be assessed for individual racial and ethnic group fit for adults with mental health or substance use disorders.http://www.sciencedirect.com/science/article/pii/S2666915321000482American Indian/Alaska NativeCross-culturalHealth equityMeasurement equivalenceMeasurement invariancePatient Health Questionnaire-9
collection DOAJ
language English
format Article
sources DOAJ
author Melissa L. Harry
R. Yates Coley
Stephen C. Waring
Gregory E. Simon
spellingShingle Melissa L. Harry
R. Yates Coley
Stephen C. Waring
Gregory E. Simon
Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groups
Journal of Affective Disorders Reports
American Indian/Alaska Native
Cross-cultural
Health equity
Measurement equivalence
Measurement invariance
Patient Health Questionnaire-9
author_facet Melissa L. Harry
R. Yates Coley
Stephen C. Waring
Gregory E. Simon
author_sort Melissa L. Harry
title Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groups
title_short Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groups
title_full Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groups
title_fullStr Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groups
title_full_unstemmed Evaluating the cross-cultural measurement invariance of the PHQ-9 between American Indian/Alaska Native adults and diverse racial and ethnic groups
title_sort evaluating the cross-cultural measurement invariance of the phq-9 between american indian/alaska native adults and diverse racial and ethnic groups
publisher Elsevier
series Journal of Affective Disorders Reports
issn 2666-9153
publishDate 2021-04-01
description Background: The Patient Health Questionnaire-9 (PHQ-9), a self-reported depression screening instrument for measurement-based care (MBC), may have cross-cultural measurement invariance (MI) with a regional group of American Indian/Alaska Native (AI/AN) and non-Hispanic White adults. However, to ensure health equity, research was needed on the cross-cultural MI of the PHQ-9 between other groups of AI/AN peoples and diverse populations. Methods: We assessed the MI of the one-factor PHQ-9 model and five previously identified two-factor models between non-Hispanic AI/AN adults (ages 18–64) from healthcare systems A (n = 1759) and B (n = 2701) using secondary data and robust maximum likelihood estimation. We then tested models for full or partial MI between either combined or separate AI/AN groups, respectively, and Hispanic (n = 7974), White (n = 7,974), Asian (n = 6988), Black (n = 6213), and Native Hawaiian/Pacific Islander (n = 1370) adults from healthcare system B. All had mental health or substance use disorder diagnoses and were seen in behavioral health or primary care settings from 1/1/2009 to 9/30/2017. Results: The one-factor PHQ-9 model was partially invariant, with two-factor models partially, or in one case fully, invariant between AI/AN groups. The one-factor model and three two-factor models were partially invariant between all seven groups, while a two-factor model was fully invariant and another partially invariant between a combined AI/AN group and other racial and ethnic groups. Conclusions: Achieving health equity in MBC requires ensuring the cross-cultural validity of measurement tools. Before comparing mean scores, PHQ-9 models should be assessed for individual racial and ethnic group fit for adults with mental health or substance use disorders.
topic American Indian/Alaska Native
Cross-cultural
Health equity
Measurement equivalence
Measurement invariance
Patient Health Questionnaire-9
url http://www.sciencedirect.com/science/article/pii/S2666915321000482
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