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Randomized Control Trial On Implementation Strategies for Task-Shifting Depression Care in Vietnam

越南任务转移抑郁症护理实施策略的随机对照试验

基本信息

批准号：
9540281
负责人：
Victoria Khanh Ngo
金额：
$ 77.44万
依托单位：
RAND CORPORATION
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-18 至 2019-06-19
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9540281
关键词：
Address Adopted Adoption Caring Clinic Collaborations Communities Community Health Competence Country Depressed mood Educational workshop Effectiveness Effectiveness of Interventions Evaluation Evidence based intervention Evidence based practice Funding Government Health Health Personnel Health Resources Health system Healthcare Human Resources Hybrids Income Individual Intervention Knowledge Lead Leadership Learning Maintenance Measures Mental Depression Mental Health Mental Health Services Methods Mission Modeling National Institute of Mental Health Organizational Culture Outcome Ownership Patient-Focused Outcomes Patients Policies Population Primary Health Care Problem Solving Provider Psychiatrist Randomized Controlled Trials Research Resistance Resources Rest Self Efficacy Services Supervision System Testing Time Training Vietnam Work Workload World Bank base care burden collaborative care compare effectiveness cost cost effectiveness depression model economic cost health literacy implementation science improved improved outcome incremental cost-effectiveness innovation low and middle-income countries patient population scale up virtual

项目摘要

Research Abstract Depression is the single largest health care burden in the world; no other illness accounts for even half its burden. Recently, the World Bank, WHO, and NIMH highlighted the crippling economic costs of unaddressed depression and the need to scale up depression care globally. In Vietnam, we have found collaborative care to be effective and have conducted clustered randomized control trial that has shown large effect sizes for a Multicomponent Collaborative Care Model for Depression (MCCD), in which depression care was task-shifted to primary care providers in local community health clinics and supported by mobile psychiatrists. While the benefits of collaborative care for depression are well-established, the most appropriate and effective implementation strategies for scaling up this model have not been identified. To address this knowledge gap, our R01 proposal will build on our team's previous work on the MCCD and leverage current policy initiatives related to depression care in Vietnam to identify implementation models most likely to lead to successful implementation and sustainment of effective services in low resource settings. We will partner with local and national community and government organizations to conduct a randomized controlled trial (RCT) comparing effectiveness of three implementation models: (a) usual implementation (UI), which typically includes one workshop and toolkit; (b) enhanced supervision (ES; includes model UI); and (c) community-engaged learning collaborative (CELC; includes ES). According to the RE-AIM Implementation Evaluation framework, to have a population-level impact, an EBI must be adopted by providers, reach a large proportion of the targeted patient population, be implemented with fidelity, effectively improve outcomes, and be maintained after research funds are withdrawn, thus we will assess implementation outcomes at the organizational, provider, and patient levels based on this framework. Additionally, we will assess organizational and provider factors associated with successful implementation and measure incremental cost-effectiveness of each implementation strategy. Comparing implementation models on RE-AIM implementation outcomes and cost-effectiveness can guide policy decisions on best strategies to support scale-up of collaborative care models for depression and other EBIs. This comprehensive and rigorous implementation effectiveness study will contribute to our understanding of the added value of using a CELC strategy over and above the best practice in training (ES), which has not been done even in high-income countries. This timely evaluation of an depression care task- shifting will provide much needed knowledge about what implementation strategies and factors promote adoption, delivery, and sustainment of high-quality depression care in low-resource settings where limited mental health human resources are available, addressing global priority knowledge gaps in implementation science and mental health research.

研究摘要抑郁症是世界上最大的单一医疗负担;没有其他疾病占其一半。负担最近，世界银行、世卫组织和NIMH强调，抑郁症以及在全球扩大抑郁症护理的必要性。在越南，我们发现了合作护理，是有效的，并进行了集群随机对照试验，显示了大的效应量，抑郁症多因素协作护理模式（MCCD），其中抑郁症护理是任务转移的在移动的精神科医生的支持下，而协作护理对抑郁症的好处是公认的，最合适和有效的尚未确定扩大这一模式的实施战略。为了弥补这一知识差距，我们的R 01提案将建立在我们小组先前关于军事和民防的工作基础上，并利用当前的政策倡议与越南抑郁症护理相关，以确定最有可能导致成功的实施模式在资源匮乏的情况下提供和维持有效的服务。我们将与当地和国家社区和政府组织进行随机对照试验（RCT），三种实施模式的有效性：（a）通常实施（UI），通常包括一个讲习班和工具包;（B）加强监督（ES;包括UI模型）;（c）社区参与学习协作（CELC;包括ES）。根据RE-AIM实施评估框架，人口水平的影响，EBI必须由提供者采用，达到目标患者的大部分人口，被忠实地实施，有效地改善结果，并在研究后保持资金被撤回，因此我们将评估组织，提供者和患者的实施结果在这个框架的基础上。此外，我们还将评估与以下因素相关的组织和供应商因素：并衡量每项执行战略成本效益增量。比较RE-AIM实施结果和成本效益的实施模型可以指导关于支持扩大抑郁症和其他疾病合作护理模式的最佳战略的政策决定 EBI。这项全面和严格的执行效力研究将有助于我们理解使用CELC战略的附加值超过培训的最佳实践（ES），即使在高收入国家也没有这样做。及时评估抑郁症治疗任务- 转变将提供急需的知识，了解实施战略和因素将促进在资源有限的环境中采用、提供和维持高质量的抑郁症护理提供精神卫生人力资源，解决执行中的全球优先知识差距科学和心理健康研究。