Framework to Action: Developing and Implementing a Statewide Network to Expand Opioid Treatment Access Using SHIFT-Evidence in Texas.

Substance use & addiction journal Pub Date : 2025-07-01 Epub Date: 2024-12-30 DOI:10.1177/29767342241297435
Carma Deem Bolton, Erin P Finley, Tara Karns-Wright, Jennifer S Potter
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Abstract

Background: In Texas, the expansion of access to effective treatments for opioid use disorder remains a significant public health challenge. This study aimed to demonstrate the application of the Successful Healthcare Improvement from Translating Evidence in Complex Systems (SHIFT-Evidence) framework in developing and implementing a statewide network for office-based opioid treatment (OBOT) to underserved populations.

Methods: We identified systemic gaps in access to medications for opioid use disorder (MOUD) across Texas, using a targeted needs assessment of barriers and facilitators to buprenorphine prescribing. Findings were integrated into a planning template based on SHIFT-Evidence, which guided the identification of additional barriers across the health care system and iterative selection of strategies to address implementation barriers at multiple health care system levels, drawing on the Expert Recommendations for Implementing Change taxonomy. Strategies were prioritized based on feasibility and impact. To evaluate the program's effectiveness in expanding access to MOUD, we conducted a descriptive analysis of data from the Texas Department of State Health Services' Clinical Management for Behavioral Health Services data system to assess geographic reach and clients served within the program.

Results: Applying SHIFT-Evidence provided a structured process for identifying key barriers occurring at multiple levels (patient, prescriber, and prescriber organization) and selecting tailored strategies to address each. This approach supported the successful development and expansion of an OBOT provider network, increasing access to treatment services from 6 provider organizations (10 locations) serving 52 clients in fiscal year 2019 to 23 provider organizations (48 locations) serving 1311 clients in fiscal year 2023.

Conclusions: The comprehensive, multilevel approach supported by the application of SHIFT-Evidence effectively facilitated prioritization and planning to address systemic gaps across multiple health care system levels. The successful enhancement of treatment access highlights the framework's utility in supporting improvements within complex health care systems.

行动框架:在德克萨斯州开发和实施一个全州网络,利用SHIFT-Evidence扩大阿片类药物治疗。
背景:在德克萨斯州,扩大获得阿片类药物使用障碍的有效治疗仍然是一项重大的公共卫生挑战。本研究旨在展示在开发和实施基于办公室的阿片类药物治疗(OBOT)到服务不足人群的全州网络中,从复杂系统中翻译证据(SHIFT-Evidence)框架成功改善医疗保健的应用。方法:我们通过对丁丙诺啡处方的障碍和促进因素进行有针对性的需求评估,确定了整个德克萨斯州在获得阿片类药物使用障碍(mod)药物方面的系统性差距。研究结果被整合到一个基于SHIFT-Evidence的规划模板中,该模板指导识别整个卫生保健系统的额外障碍,并根据实施变革分类的专家建议,反复选择战略,以解决多个卫生保健系统层面的实施障碍。根据可行性和影响对战略进行优先排序。为了评估该项目在扩大mod使用范围方面的有效性,我们对来自德克萨斯州州卫生服务部门行为健康服务临床管理数据系统的数据进行了描述性分析,以评估该项目的地理覆盖范围和服务对象。结果:应用SHIFT-Evidence提供了一个结构化的过程,用于识别发生在多个层面(患者、开处方者和开处方者组织)的关键障碍,并选择量身定制的策略来解决每个障碍。这种方法支持了OBOT提供者网络的成功开发和扩展,将治疗服务的可及性从2019财年的6个提供者组织(10个地点)为52个客户提供服务增加到2023财年的23个提供者组织(48个地点)为1311个客户提供服务。结论:在SHIFT-Evidence应用的支持下,综合、多层次的方法有效地促进了优先排序和规划,以解决多个卫生保健系统层面的系统性差距。治疗可及性的成功提高凸显了该框架在支持改善复杂卫生保健系统方面的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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