Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Health Services Research & Development, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, Washington.
Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, Washington.
JAMA Netw Open. 2021 Dec 1;4(12):e2137238. doi: 10.1001/jamanetworkopen.2021.37238.
With increasing rates of opioid use disorder (OUD) and overdose deaths in the US, increased access to medications for OUD (MOUD) is paramount. Rigorous effectiveness evaluations of large-scale implementation initiatives using quasi-experimental designs are needed to inform expansion efforts.
To evaluate a US Department of Veterans Affairs (VA) initiative to increase MOUD use in nonaddiction clinics.
DESIGN, SETTING, AND PARTICIPANTS: This quality improvement initiative used interrupted time series design to compare trends in MOUD receipt. Primary care, pain, and mental health clinics in the VA health care system (n = 35) located at 18 intervention facilities and nonintervention comparison clinics (n = 35) were matched on preimplementation MOUD prescribing trends, clinic size, and facility complexity. The cohort of patients with OUD who received care in intervention or comparison clinics in the year after September 1, 2018, were evaluated. The preimplementation period extended from September 1, 2017, through August 31, 2018, and the postimplementation period from September 1, 2018, through August 31, 2019.
The multifaceted implementation intervention included education, external facilitation, and quarterly reports.
The main outcomes were the proportion of patients receiving MOUD and the number of patients per clinician prescribing MOUD. Segmented logistic regression evaluated monthly proportions of MOUD receipt 1 year before and after initiative launch, adjusting for demographic and clinical covariates. Poisson regression models examined yearly changes in clinician prescribing over the same time frame.
Overall, 7488 patients were seen in intervention clinics (mean [SD] age, 53.3 [14.2] years; 6858 [91.6%] male; 1476 [19.7%] Black, 417 [5.6%] Hispanic; 5162 [68.9%] White; 239 [3.2%] other race [including American Indian or Alaska Native, Asian, Native Hawaiian or other Pacific Islander, and multiple races]; and 194 [2.6%] unknown) and 7558 in comparison clinics (mean [SD] age, 53.4 [14.0] years; 6943 [91.9%] male; 1463 [19.4%] Black; 405 [5.4%] Hispanic; 5196 [68.9%] White; 244 [3.2%] other race; 250 [3.3%] unknown). During the preimplementation year, the proportion of patients receiving MOUD in intervention clinics increased monthly by 5.0% (adjusted odds ratio [AOR], 1.05; 95% CI, 1.03-1.07). Accounting for this preimplementation trend, the proportion of patients receiving MOUD increased monthly by an additional 2.3% (AOR, 1.02; 95% CI, 1.00-1.04) during the implementation year. Comparison clinics increased by 2.6% monthly before implementation (AOR, 1.03; 95% CI, 1.01-1.04), with no changes detected after implementation. Although preimplementation-year trends in monthly MOUD receipt were similar in intervention and comparison clinics, greater increases were seen in intervention clinics after implementation (AOR, 1.04; 95% CI, 1.01-1.08). Patients treated with MOUD per clinician in intervention clinics saw greater increases from before to after implementation compared with comparison clinics (incidence rate ratio, 1.50; 95% CI, 1.28-1.77).
A multifaceted implementation initiative in nonaddiction clinics was associated with increased MOUD prescribing. Findings suggest that engagement of clinicians in general clinical settings may increase MOUD access.
随着美国阿片类药物使用障碍(OUD)和过量死亡人数的增加,增加 OUD 药物(MOUD)的获取至关重要。需要使用严格的有效性评估大型实施计划使用准实验设计,为扩大努力提供信息。
评估美国退伍军人事务部(VA)增加非成瘾诊所 MOUD 使用的计划。
设计、设置和参与者:这项质量改进计划使用中断时间序列设计来比较 MOUD 接收趋势。位于 18 个干预设施和非干预比较诊所(n=35)的 VA 医疗保健系统中的初级保健、疼痛和心理健康诊所根据预先实施的 MOUD 处方趋势、诊所规模和设施复杂性进行匹配。在 2018 年 9 月 1 日之后的一年中,在干预或比较诊所接受 OUD 治疗的患者队列接受了评估。预先实施期从 2017 年 9 月 1 日延长至 2018 年 8 月 31 日,随后的实施期从 2018 年 9 月 1 日延长至 2019 年 8 月 31 日。
多方面的实施干预措施包括教育、外部促进和季度报告。
主要结果是接受 MOUD 的患者比例和每位开 MOUD 的医生的患者人数。分段逻辑回归评估了倡议启动前一年和后一年每月接受 MOUD 的比例,调整了人口统计学和临床协变量。泊松回归模型检查了同一时间框架内医生每年的处方变化。
共有 7488 名患者在干预诊所就诊(平均[SD]年龄,53.3[14.2]岁;6858[91.6%]男性;1476[19.7%]黑人,417[5.6%]西班牙裔;5162[68.9%]白人;239[3.2%]其他种族[包括美国印第安人或阿拉斯加原住民、亚洲人、夏威夷原住民或其他太平洋岛民和多种族裔];194[2.6%]未知)和 7558 名在比较诊所就诊(平均[SD]年龄,53.4[14.0]岁;6943[91.9%]男性;1463[19.4%]黑人;405[5.4%]西班牙裔;5196[68.9%]白人;244[3.2%]其他种族;250[3.3%]未知)。在预先实施的一年中,接受 MOUD 的患者比例每月增加 5.0%(调整后的优势比[OR],1.05;95%CI,1.03-1.07)。考虑到这一预先实施的趋势,在实施年中,接受 MOUD 的患者比例每月额外增加 2.3%(OR,1.02;95%CI,1.00-1.04)。在预先实施之前,比较诊所每月增加 2.6%(OR,1.03;95%CI,1.01-1.04),实施后没有变化。尽管干预和比较诊所的预先实施年度 MOUD 接受趋势相似,但干预诊所的增幅更大(OR,1.04;95%CI,1.01-1.08)。接受 MOUD 治疗的患者在干预诊所中每增加一位医生,与比较诊所相比,实施前后的增加幅度更大(发病率比,1.50;95%CI,1.28-1.77)。
非成瘾诊所的多方面实施计划与 MOUD 处方增加有关。研究结果表明,让临床医生参与一般临床环境可能会增加 MOUD 的获取。