White Veronica M, Molfenter Todd, Gustafson David H, Horst Julie, Greller Rachelle, Gustafson David H, Kim Jee-Seon, Preuss Eric, Cody Olivia, Pisitthakarm Praan, Toy Alexander
Department of Industrial and Systems Engineering, University of Wisconsin-Madison, 1513 University Ave, Madison, WI, 53706, USA.
Department of Educational Psychology, University of Wisconsin-Madison, Educational Sciences, 1025 West Johnson St, Madison, WI, 53706-1706, USA.
Implement Sci. 2020 Oct 23;15(1):94. doi: 10.1186/s13012-020-01053-4.
Substance use disorders (SUDs) lead to tens-of-thousands of overdose deaths and other forms of preventable deaths in the USA each year. This results in over $500 billion per year in societal and economic costs as well as a considerable amount of grief for loved ones of affected individuals. Despite these health and societal consequences, only a small percentage of people seek treatment for SUDs, and the majority of those that seek help fail to achieve long-term sobriety. E-health applications in healthcare have proven to be effective at sustaining treatment and reaching patients traditional treatment pathways would have missed. However, e-health adoption and sustainment rates in healthcare are poor, especially in the SUD treatment sector. Implementation engineering can address this gap in the e-health field by augmenting existing implementation models, which explain organizational and individual e-health behaviors retrospectively, with prospective resources that can guide implementation.
This cluster randomized control trial is designed to test two implementation strategies at adopting an evidence-based mobile e-health technology for SUD treatment. The proposed e-health implementation model is the Network for the Improvement of Addiction Treatment-Technology Implementation (NIATx-TI) Framework. This project, based in Iowa, will compare a control condition (using a typical software product training approach that includes in-person staff training followed by access to on-line support) to software implementation utilizing NIATx-TI, which includes change management training, followed by coaching on how to implement and use the mobile application. While e-health spans many modalities and health disciplines, this project will focus on implementing the Addiction Comprehensive Health Enhancement Support System (A-CHESS), an evidence-based SUD treatment recovery app framework. This trial will be conducted in Iowa at 46 organizational sites within 12 SUD treatment agencies. The control arm consists of 23 individual treatment sites based at five organizations, and the intervention arm consists of 23 individual SUD treatment sites based at seven organizations DISCUSSION: This study addresses an issue of substantial public health significance: enhancing the uptake of the growing inventory of patient-centered evidence-based addiction treatment e-health technologies.
ClinicalTrials.gov , NCT03954184 . Posted 17 May 2019.
物质使用障碍(SUDs)每年在美国导致数万人死于药物过量及其他形式的可预防死亡。这每年造成超过5000亿美元的社会和经济成本,以及给受影响个体的亲人带来巨大悲痛。尽管有这些健康和社会后果,但只有一小部分人寻求物质使用障碍的治疗,而且大多数寻求帮助的人未能实现长期戒酒。医疗保健中的电子健康应用已被证明在维持治疗和接触传统治疗途径可能错过的患者方面是有效的。然而,医疗保健领域的电子健康采用率和维持率很低,尤其是在物质使用障碍治疗部门。实施工程可以通过增强现有的实施模型来弥补电子健康领域的这一差距,现有的实施模型是对组织和个人电子健康行为进行回顾性解释,而实施工程则提供前瞻性资源来指导实施。
这项整群随机对照试验旨在测试两种采用基于证据的移动电子健康技术进行物质使用障碍治疗的实施策略。拟议的电子健康实施模型是成瘾治疗技术实施改进网络(NIATx-TI)框架。这个位于爱荷华州的项目将把一个对照条件(使用典型的软件产品培训方法,包括面对面的员工培训,然后提供在线支持)与利用NIATx-TI的软件实施进行比较,后者包括变革管理培训,随后是关于如何实施和使用移动应用程序的指导。虽然电子健康涵盖多种模式和健康学科,但该项目将专注于实施成瘾综合健康增强支持系统(A-CHESS),这是一个基于证据的物质使用障碍治疗康复应用框架。该试验将在爱荷华州的12个物质使用障碍治疗机构内的46个组织地点进行。对照组由五个组织中的23个个体治疗地点组成,干预组由七个组织中的23个个体物质使用障碍治疗地点组成。讨论:本研究解决了一个具有重大公共卫生意义的问题:提高以患者为中心的基于证据的成瘾治疗电子健康技术不断增加的库存的采用率。
ClinicalTrials.gov,NCT03954184。于2019年5月17日发布。