Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries.

Journal: Implementation science communications

Volume: 3

Issue: 1

Year of Publication: 

Affiliated Institutions:  Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA. laldrid@jhu.edu. Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA. University of Washington Department of Global Health, Seattle, USA. Columbia University Mailman School of Public Health, New York, USA. University of Liverpool Institute of Population Health, Liverpool, UK. Dartmouth Center for Technology & Behavioral Health, Lebanon, USA. Pontificia Universidad Javeriana Department of Psychiatry and Mental Health, Bogota, Colombia. University of Virginia School of Education and Human Development, Charlottesville, USA.

Abstract summary 

Existing implementation measures developed in high-income countries may have limited appropriateness for use within low- and middle-income countries (LMIC). In response, researchers at Johns Hopkins University began developing the Mental Health Implementation Science Tools (mhIST) in 2013 to assess priority implementation determinants and outcomes across four key stakeholder groups-consumers, providers, organization leaders, and policy makers-with dedicated versions of scales for each group. These were field tested and refined in several contexts, and criterion validity was established in Ukraine. The Consumer and Provider mhIST have since grown in popularity in mental health research, outpacing psychometric evaluation. Our objective was to establish the cross-context psychometric properties of these versions and inform future revisions.We compiled secondary data from seven studies across six LMIC-Colombia, Myanmar, Pakistan, Thailand, Ukraine, and Zambia-to evaluate the psychometric performance of the Consumer and Provider mhIST. We used exploratory factor analysis to identify dimensionality, factor structure, and item loadings for each scale within each stakeholder version. We also used alignment analysis (i.e., multi-group confirmatory factor analysis) to estimate measurement invariance and differential item functioning of the Consumer scales across the six countries.All but one scale within the Provider and Consumer versions had Cronbach's alpha greater than 0.8. Exploratory factor analysis indicated most scales were multidimensional, with factors generally aligning with a priori subscales for the Provider version; the Consumer version has no predefined subscales. Alignment analysis of the Consumer mhIST indicated a range of measurement invariance for scales across settings (R 0.46 to 0.77). Several items were identified for potential revision due to participant nonresponse or low or cross- factor loadings. We found only one item, which asked consumers whether their intervention provider was available when needed, to have differential item functioning in both intercept and loading.We provide evidence that the Consumer and Provider versions of the mhIST are internally valid and reliable across diverse contexts and stakeholder groups for mental health research in LMIC. We recommend the instrument be revised based on these analyses and future research examine instrument utility by linking measurement to other outcomes of interest.

Authors & Co-authors:  Aldridge Luke R LR Kemp Christopher G CG Bass Judith K JK Danforth Kristen K Kane Jeremy C JC Hamdani Syed U SU Marsch Lisa A LA Uribe-Restrepo José M JM Nguyen Amanda J AJ Bolton Paul A PA Murray Laura K LK Haroz Emily E EE

Study Outcome 

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Statistics
Citations :  Patel V, Saxena S, Lund C, et al. The Lancet Commission on global mental health and sustainable development. Lancet. 2018;392:1553–1598. doi: 10.1016/S0140-6736(18)31612-X.
Authors :  12
Identifiers
Doi : 54
SSN : 2662-2211
Study Population
Male,Female
Mesh Terms
Other Terms
Implementation measurement;Low- and middle-income countries;Mental health;Psychometrics
Study Design
Study Approach
Country of Study
Zambia
Publication Country
England