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Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year

PURPOSE: In the U.S., the percentage of youth in need of evidence-based mental health practices (EBPs) who receive them (i.e., coverage rate) is low. We know little about what influences coverage rates. In 2010, the Los Angeles County Department of Mental Health (LACDMH) launched a reimbursement-dri...

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Autores principales: Hooley, Cole, Salvo, Deborah, Brown, Derek S., Brookman-Frazee, Lauren, Lau, Anna S., Brownson, Ross C., Fowler, Patrick J., Innes-Gomberg, Debbie, Proctor, Enola K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977707/
https://www.ncbi.nlm.nih.gov/pubmed/36289142
http://dx.doi.org/10.1007/s10488-022-01220-3
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author Hooley, Cole
Salvo, Deborah
Brown, Derek S.
Brookman-Frazee, Lauren
Lau, Anna S.
Brownson, Ross C.
Fowler, Patrick J.
Innes-Gomberg, Debbie
Proctor, Enola K.
author_facet Hooley, Cole
Salvo, Deborah
Brown, Derek S.
Brookman-Frazee, Lauren
Lau, Anna S.
Brownson, Ross C.
Fowler, Patrick J.
Innes-Gomberg, Debbie
Proctor, Enola K.
author_sort Hooley, Cole
collection PubMed
description PURPOSE: In the U.S., the percentage of youth in need of evidence-based mental health practices (EBPs) who receive them (i.e., coverage rate) is low. We know little about what influences coverage rates. In 2010, the Los Angeles County Department of Mental Health (LACDMH) launched a reimbursement-driven implementation of multiple EBPs in youth mental health care. This study examines two questions: (1) What was the coverage rate of EBPs delivered three years following initial implementation? (2) What factors are associated with the coverage rates? METHODS: To assess coverage rates of publicly insured youth, we used LACDMH administrative claims data from July 1, 2013 to June 30, 2014 and estimates of the size of the targeted eligible youth population from the 2014 American Community Survey (ACS). The unit of analysis was clinic service areas (n = 254). We used Geographic Information Systems and an OLS regression to assess community and clinic characteristics related to coverage. RESULTS: The county coverage rate was estimated at 17%, much higher than national estimates. The proportion of ethnic minorities, individuals who are foreign-born, adults with a college degree within a geographic area were negatively associated with clinic service area coverage rates. Having more therapists who speak a language other than English, providing care outside of clinics, and higher proportion of households without a car were associated with higher coverage rates. CONCLUSION: Heterogeneity in municipal mental health record type and availability makes it difficult to compare the LACDMH coverage rate with other efforts. However, the LACDMH initiative has higher coverage than published national rates. Having bilingual therapists and providing services outside the clinic was associated with higher coverage. Even with higher coverage, inequities persisted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10488-022-01220-3.
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spelling pubmed-99777072023-03-03 Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year Hooley, Cole Salvo, Deborah Brown, Derek S. Brookman-Frazee, Lauren Lau, Anna S. Brownson, Ross C. Fowler, Patrick J. Innes-Gomberg, Debbie Proctor, Enola K. Adm Policy Ment Health Original Article PURPOSE: In the U.S., the percentage of youth in need of evidence-based mental health practices (EBPs) who receive them (i.e., coverage rate) is low. We know little about what influences coverage rates. In 2010, the Los Angeles County Department of Mental Health (LACDMH) launched a reimbursement-driven implementation of multiple EBPs in youth mental health care. This study examines two questions: (1) What was the coverage rate of EBPs delivered three years following initial implementation? (2) What factors are associated with the coverage rates? METHODS: To assess coverage rates of publicly insured youth, we used LACDMH administrative claims data from July 1, 2013 to June 30, 2014 and estimates of the size of the targeted eligible youth population from the 2014 American Community Survey (ACS). The unit of analysis was clinic service areas (n = 254). We used Geographic Information Systems and an OLS regression to assess community and clinic characteristics related to coverage. RESULTS: The county coverage rate was estimated at 17%, much higher than national estimates. The proportion of ethnic minorities, individuals who are foreign-born, adults with a college degree within a geographic area were negatively associated with clinic service area coverage rates. Having more therapists who speak a language other than English, providing care outside of clinics, and higher proportion of households without a car were associated with higher coverage rates. CONCLUSION: Heterogeneity in municipal mental health record type and availability makes it difficult to compare the LACDMH coverage rate with other efforts. However, the LACDMH initiative has higher coverage than published national rates. Having bilingual therapists and providing services outside the clinic was associated with higher coverage. Even with higher coverage, inequities persisted. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10488-022-01220-3. Springer US 2022-10-26 2023 /pmc/articles/PMC9977707/ /pubmed/36289142 http://dx.doi.org/10.1007/s10488-022-01220-3 Text en © The Author(s) 2022, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Original Article
Hooley, Cole
Salvo, Deborah
Brown, Derek S.
Brookman-Frazee, Lauren
Lau, Anna S.
Brownson, Ross C.
Fowler, Patrick J.
Innes-Gomberg, Debbie
Proctor, Enola K.
Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year
title Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year
title_full Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year
title_fullStr Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year
title_full_unstemmed Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year
title_short Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year
title_sort scaling-up child and youth mental health services: assessing coverage of a county-wide prevention and early intervention initiative during one fiscal year
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977707/
https://www.ncbi.nlm.nih.gov/pubmed/36289142
http://dx.doi.org/10.1007/s10488-022-01220-3
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