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

Cumbe, VFJ (通讯作者),Minist Hlth, Prov Hlth Directorate, Beira, Sofala Province, Mozambique.;Cumbe, VFJ (通讯作者),Eduardo Mondlane Univ, Fac Med, Maputo, Mozambique.;Cumbe, VFJ (通讯作者),Beira Cent Hosp, Dept Psychiat, Beira, Mozambique.
2022-6-6
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.
IMPLEMENTATION SCIENCE
卷号:17|期号:1
ISSN:1748-5908|收录类别:SCIE
语种
英语
来源机构
Eduardo Mondlane University; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
资助机构
National Institute of Mental Health (NIMH)(United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Mental Health (NIMH))
资助信息
This work was supported by grant number R01MH123682 from the National Institute of Mental Health (NIMH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
被引频次(WOS)
2
被引频次(其他)
2
180天使用计数
1
2013以来使用计数
1
出版年
2022-6-6
DOI
10.1186/s13012-022-01213-8
学科领域
循证公共卫生
关键词
Global mental health Mozambique Systems Analysis and Improvement Approach (SAIA) Optimization of care cascades Process mapping Continuous quality improvement Primary mental healthcare Task-sharing Cluster randomized trial Systems engineering
WOS学科分类
Health Care Sciences & Services Health Policy & Services