Cargando…

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

BACKGROUND: 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 201...

Descripción completa

Detalles Bibliográficos
Autores principales: Aldridge, Luke R., Kemp, Christopher G., Bass, Judith K., Danforth, Kristen, Kane, Jeremy C., Hamdani, Syed U., Marsch, Lisa A., Uribe-Restrepo, José M., Nguyen, Amanda J., Bolton, Paul A., Murray, Laura K., Haroz, Emily E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118868/
https://www.ncbi.nlm.nih.gov/pubmed/35590428
http://dx.doi.org/10.1186/s43058-022-00301-6
_version_ 1784710590679220224
author Aldridge, Luke R.
Kemp, Christopher G.
Bass, Judith K.
Danforth, Kristen
Kane, Jeremy C.
Hamdani, Syed U.
Marsch, Lisa A.
Uribe-Restrepo, José M.
Nguyen, Amanda J.
Bolton, Paul A.
Murray, Laura K.
Haroz, Emily E.
author_facet Aldridge, Luke R.
Kemp, Christopher G.
Bass, Judith K.
Danforth, Kristen
Kane, Jeremy C.
Hamdani, Syed U.
Marsch, Lisa A.
Uribe-Restrepo, José M.
Nguyen, Amanda J.
Bolton, Paul A.
Murray, Laura K.
Haroz, Emily E.
author_sort Aldridge, Luke R.
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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(2) 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. CONCLUSION: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-022-00301-6.
format Online
Article
Text
id pubmed-9118868
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-91188682022-05-20 Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries Aldridge, Luke R. Kemp, Christopher G. Bass, Judith K. Danforth, Kristen Kane, Jeremy C. Hamdani, Syed U. Marsch, Lisa A. Uribe-Restrepo, José M. Nguyen, Amanda J. Bolton, Paul A. Murray, Laura K. Haroz, Emily E. Implement Sci Commun Research BACKGROUND: 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. METHODS: 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. RESULTS: 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(2) 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. CONCLUSION: 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-022-00301-6. BioMed Central 2022-05-19 /pmc/articles/PMC9118868/ /pubmed/35590428 http://dx.doi.org/10.1186/s43058-022-00301-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Aldridge, Luke R.
Kemp, Christopher G.
Bass, Judith K.
Danforth, Kristen
Kane, Jeremy C.
Hamdani, Syed U.
Marsch, Lisa A.
Uribe-Restrepo, José M.
Nguyen, Amanda J.
Bolton, Paul A.
Murray, Laura K.
Haroz, Emily E.
Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries
title Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries
title_full Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries
title_fullStr Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries
title_full_unstemmed Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries
title_short Psychometric performance of the Mental Health Implementation Science Tools (mhIST) across six low- and middle-income countries
title_sort psychometric performance of the mental health implementation science tools (mhist) across six low- and middle-income countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118868/
https://www.ncbi.nlm.nih.gov/pubmed/35590428
http://dx.doi.org/10.1186/s43058-022-00301-6
work_keys_str_mv AT aldridgeluker psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT kempchristopherg psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT bassjudithk psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT danforthkristen psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT kanejeremyc psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT hamdanisyedu psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT marschlisaa psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT uriberestrepojosem psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT nguyenamandaj psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT boltonpaula psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT murraylaurak psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries
AT harozemilye psychometricperformanceofthementalhealthimplementationsciencetoolsmhistacrosssixlowandmiddleincomecountries