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Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial

BACKGROUND: Significant investments are being made to close the mental health (MH) treatment gap, which often exceeds 90% in many low- and middle-income countries (LMICs). However, limited attention has been paid to patient quality of care in nascent and evolving LMIC MH systems. In system assessmen...

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Autores principales: Cumbe, Vasco F. J., Muanido, Alberto Gabriel, Turner, Morgan, Ramiro, Isaias, Sherr, Kenneth, Weiner, Bryan J., Flaherty, Brian P., Sharma, Monisha, Faduque, Flávia, Xerinda, Ernesto Rodrigo, Wagenaar, Bradley H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169330/
https://www.ncbi.nlm.nih.gov/pubmed/35668423
http://dx.doi.org/10.1186/s13012-022-01213-8
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author Cumbe, Vasco F. J.
Muanido, Alberto Gabriel
Turner, Morgan
Ramiro, Isaias
Sherr, Kenneth
Weiner, Bryan J.
Flaherty, Brian P.
Sharma, Monisha
Faduque, Flávia
Xerinda, Ernesto Rodrigo
Wagenaar, Bradley H.
author_facet Cumbe, Vasco F. J.
Muanido, Alberto Gabriel
Turner, Morgan
Ramiro, Isaias
Sherr, Kenneth
Weiner, Bryan J.
Flaherty, Brian P.
Sharma, Monisha
Faduque, Flávia
Xerinda, Ernesto Rodrigo
Wagenaar, Bradley H.
author_sort Cumbe, Vasco F. J.
collection PubMed
description BACKGROUND: Significant investments are being made to close the mental health (MH) treatment gap, which often exceeds 90% in many low- and middle-income countries (LMICs). However, limited attention has been paid to patient quality of care in nascent and evolving LMIC MH systems. In system assessments across sub-Saharan Africa, MH loss-to-follow-up often exceeds 50% and sub-optimal medication adherence often exceeds 60%. This study aims to fill a gap of evidence-based implementation strategies targeting the optimization of MH treatment cascades in LMICs by testing a low-cost multicomponent implementation strategy integrated into routine government MH care in Mozambique. METHODS: Using a cluster-randomized trial design, 16 clinics (8 intervention and 8 control) providing primary MH care will be randomized to the Systems Analysis and Improvement Approach for Mental Health (SAIA-MH) or an attentional placebo control. SAIA-MH is a multicomponent implementation strategy blending external facilitation, clinical consultation, and provider team meetings with system-engineering tools in an overall continuous quality improvement framework. Following a 6-month baseline period, intervention facilities will implement the SAIA-MH strategy for a 2-year intensive implementation period, followed by a 1-year sustainment phase. Primary outcomes will be the proportion of all patients diagnosed with a MH condition and receiving pharmaceutical-based treatment who achieve functional improvement, adherence to medication, and retention in MH care. The Consolidated Framework for Implementation Research (CFIR) will be used to assess determinants of implementation success. Specific Aim 1b will include the evaluation of mechanisms of the SAIA-MH strategy using longitudinal structural equation modeling as well as specific aim 2 estimating cost and cost-effectiveness of scaling-up SAIA-MH in Mozambique to provincial and national levels. DISCUSSION: This study is innovative in being the first, to our knowledge, to test a multicomponent implementation strategy for MH care cascade optimization in LMICs. By design, SAIA-MH is a low-cost strategy to generate contextually relevant solutions to barriers to effective primary MH care, and thus focuses on system improvements that can be sustained over the long term. Since SAIA-MH is integrated into routine government MH service delivery, this pragmatic trial has the potential to inform potential SAIA-MH scale-up in Mozambique and other similar LMICs. TRIAL REGISTRATION: ClinicalTrials.gov; NCT05103033; 11/2/2021.
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spelling pubmed-91693302022-06-07 Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial Cumbe, Vasco F. J. Muanido, Alberto Gabriel Turner, Morgan Ramiro, Isaias Sherr, Kenneth Weiner, Bryan J. Flaherty, Brian P. Sharma, Monisha Faduque, Flávia Xerinda, Ernesto Rodrigo Wagenaar, Bradley H. Implement Sci Study Protocol BACKGROUND: Significant investments are being made to close the mental health (MH) treatment gap, which often exceeds 90% in many low- and middle-income countries (LMICs). However, limited attention has been paid to patient quality of care in nascent and evolving LMIC MH systems. In system assessments across sub-Saharan Africa, MH loss-to-follow-up often exceeds 50% and sub-optimal medication adherence often exceeds 60%. This study aims to fill a gap of evidence-based implementation strategies targeting the optimization of MH treatment cascades in LMICs by testing a low-cost multicomponent implementation strategy integrated into routine government MH care in Mozambique. METHODS: Using a cluster-randomized trial design, 16 clinics (8 intervention and 8 control) providing primary MH care will be randomized to the Systems Analysis and Improvement Approach for Mental Health (SAIA-MH) or an attentional placebo control. SAIA-MH is a multicomponent implementation strategy blending external facilitation, clinical consultation, and provider team meetings with system-engineering tools in an overall continuous quality improvement framework. Following a 6-month baseline period, intervention facilities will implement the SAIA-MH strategy for a 2-year intensive implementation period, followed by a 1-year sustainment phase. Primary outcomes will be the proportion of all patients diagnosed with a MH condition and receiving pharmaceutical-based treatment who achieve functional improvement, adherence to medication, and retention in MH care. The Consolidated Framework for Implementation Research (CFIR) will be used to assess determinants of implementation success. Specific Aim 1b will include the evaluation of mechanisms of the SAIA-MH strategy using longitudinal structural equation modeling as well as specific aim 2 estimating cost and cost-effectiveness of scaling-up SAIA-MH in Mozambique to provincial and national levels. DISCUSSION: This study is innovative in being the first, to our knowledge, to test a multicomponent implementation strategy for MH care cascade optimization in LMICs. By design, SAIA-MH is a low-cost strategy to generate contextually relevant solutions to barriers to effective primary MH care, and thus focuses on system improvements that can be sustained over the long term. Since SAIA-MH is integrated into routine government MH service delivery, this pragmatic trial has the potential to inform potential SAIA-MH scale-up in Mozambique and other similar LMICs. TRIAL REGISTRATION: ClinicalTrials.gov; NCT05103033; 11/2/2021. BioMed Central 2022-06-06 /pmc/articles/PMC9169330/ /pubmed/35668423 http://dx.doi.org/10.1186/s13012-022-01213-8 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 Study Protocol
Cumbe, Vasco F. J.
Muanido, Alberto Gabriel
Turner, Morgan
Ramiro, Isaias
Sherr, Kenneth
Weiner, Bryan J.
Flaherty, Brian P.
Sharma, Monisha
Faduque, Flávia
Xerinda, Ernesto Rodrigo
Wagenaar, Bradley H.
Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial
title Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial
title_full Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial
title_fullStr Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial
title_full_unstemmed Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial
title_short Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial
title_sort systems analysis and improvement approach to optimize outpatient mental health treatment cascades in mozambique (saia-mh): study protocol for a cluster randomized trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169330/
https://www.ncbi.nlm.nih.gov/pubmed/35668423
http://dx.doi.org/10.1186/s13012-022-01213-8
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