Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
Department of Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA.
Subst Abus. 2019;40(3):328-334. doi: 10.1080/08897077.2018.1545729. Epub 2019 Jan 24.
The prevalence of opioid use disorder (OUD) has increased rapidly in the United States and improving treatment access is critical. Among patients with OUD, we examined factors associated with the Healthcare Effectiveness Data and Information Set (HEDIS) performance measures of alcohol and other drug (AOD) treatment initiation and engagement. Electronic health record and claims data between October 1, 2014, and August 15, 2015, from 7 health systems were used to identify patients ( = 11,490) with a new index OUD diagnosis (no AOD diagnosis prior <60 days) based on International Classification of Diseases (ICD)-9 codes. Multivariable generalized linear models with a logit link clustered on health system were used to examine the associations of patient demographic and clinical characteristics, and department of index diagnosis, with HEDIS measures of treatment initiation and engagement. The prevalence of OUD among all AOD diagnoses varied across health systems, as did rates of AOD initiation (5.7%-21.6%) and engagement (7.6%-24.6%). Those diagnosed in the emergency department (adjusted odds ratio [aOR] = 1.58, 95% confidence interval [CI] = 1.27,1.97) or psychiatry/AOD treatment (aOR = 2.92, 95% CI = 2.47,3.46) were more likely to initiate treatment compared with primary care. Older patients were less likely to initiate (age 50-64 vs. age 18-29: aOR = 0.42, 95% CI = 0.35, 0.51; age 65+ vs. age 18-29: aOR = 0.34, 95% CI = 0.26, 0.43), as were women (aOR = 0.72, 95% CI = 0.62, 0.85). Patients diagnosed in psychiatry/AOD treatment (aOR = 2.67, 95% CI = 1.98, 3.60) compared with primary care were more likely to engage in treatment. Those identified in an inpatient setting (aOR = 0.19, 95% CI = 0.14, 0.27 vs. primary care), those with medical comorbidity (aOR = 0.70, 95% CI = 0.52, 0.95), and older patients (age 50-64 vs. 18-29: aOR = 0.64, 95% CI = 0.46, 0.88; age 65+ vs. 18-29: aOR = 0.36, 95% CI = 0.22, 0.57) were less likely to engage in treatment. Rates of initiation and engagement for OUD patients vary widely with noticeable room for improvement, particularly in this critical time of the opioid crisis. Targeting patient and system factors may improve health system performance, which is key to improving patient outcomes.
阿片类药物使用障碍(OUD)在美国的患病率迅速上升,因此改善治疗途径至关重要。在 OUD 患者中,我们研究了与医疗保健效果数据和信息集(HEDIS)酒精和其他药物(AOD)治疗起始和参与的绩效指标相关的因素。2014 年 10 月 1 日至 2015 年 8 月 15 日,来自 7 个医疗系统的电子健康记录和索赔数据被用于根据国际疾病分类(ICD)-9 代码识别( = 11490)新的 OUD 索引诊断(60 天内无 AOD 诊断)的患者。使用对数链接的多变量广义线性模型对健康系统进行聚类,以检查患者人口统计学和临床特征以及索引诊断部门与 HEDIS 治疗起始和参与措施之间的关联。在所有 AOD 诊断中,OUD 的患病率在不同的医疗系统中有所不同,AOD 起始率(5.7%-21.6%)和参与率(7.6%-24.6%)也是如此。在急诊部(调整后的优势比[OR] = 1.58,95%置信区间[CI] = 1.27,1.97)或精神病学/酒精和药物治疗(调整后的 OR = 2.92,95%CI = 2.47,3.46)诊断的患者更有可能开始治疗,而不是初级保健。年龄在 50-64 岁的患者比年龄在 18-29 岁的患者(调整后的 OR = 0.42,95%CI = 0.35,0.51),年龄在 65 岁以上的患者比年龄在 18-29 岁的患者(调整后的 OR = 0.34,95%CI = 0.26,0.43)不太可能开始治疗,女性也是如此(调整后的 OR = 0.72,95%CI = 0.62,0.85)。在精神病学/酒精和药物治疗(调整后的 OR = 2.67,95%CI = 1.98,3.60)诊断的患者比在初级保健中诊断的患者更有可能接受治疗。与初级保健相比,在住院环境中(调整后的 OR = 0.19,95%CI = 0.14,0.27),有医疗合并症(调整后的 OR = 0.70,95%CI = 0.52,0.95),以及年龄较大的患者(年龄在 50-64 岁的患者与 18-29 岁的患者相比:调整后的 OR = 0.64,95%CI = 0.46,0.88;年龄在 65 岁以上的患者与 18-29 岁的患者相比:调整后的 OR = 0.36,95%CI = 0.22,0.57)不太可能接受治疗。OUD 患者的起始和参与率差异很大,仍有很大的改进空间,特别是在阿片类药物危机的这个关键时刻。针对患者和系统因素可能会提高医疗系统的绩效,这是改善患者结果的关键。