The prevalence of Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment among patients with cannabis use disorders in 7?US health systems

被引:17
作者
Lapham, Gwen T. [1 ,2 ]
Campbell, Cynthia I. [3 ]
Yarborough, Bobbi Jo H. [4 ]
Hechter, Rulin C. [5 ]
Ahmedani, Brian K. [6 ]
Haller, Irina V. [7 ]
Kline-Simon, Andrea H. [3 ]
Satre, Derek D. [3 ,8 ]
Loree, Amy M. [6 ]
Weisner, Constance [3 ,8 ]
Binswanger, Ingrid A. [9 ,10 ,11 ]
机构
[1] Kaiser Permanente Washington Hlth Res Inst, 1730 Minor Ave,Suite 1600, Seattle, WA 98101 USA
[2] Univ Washington, Sch Publ Hlth, Dept Hlth Serv, Seattle, WA 98195 USA
[3] Kaiser Permanente Northern Calif, Div Res, Oakland, CA USA
[4] Kaiser Permanente Northwest, Ctr Hlth Res, Portland, OR USA
[5] Kaiser Permanente Southern Calif, Dept Res & Evaluat, Portland, OR USA
[6] Henry Ford Hlth Syst, Ctr Hlth Policy & Hlth Serv Res, Detroit, MI USA
[7] Essentia Inst Rural Hlth, Duluth, MN USA
[8] Univ Calif San Francisco, Weill Inst Neurosci, Dept Psychiat, San Francisco, CA 94143 USA
[9] Kaiser Permanente Colorado, Inst Hlth Res, Aurora, CO USA
[10] Colorado Permanente Med Grp, Aurora, CO USA
[11] Univ Colorado, Sch Med, Div Gen Internal Med, Aurora, CO USA
关键词
Cannabis; comorbidity; health services research; quality indicators; substance use disorder; treatment; SUBSTANCE-ABUSE TREATMENT; NATIONAL EPIDEMIOLOGIC SURVEY; PERFORMANCE-MEASURES; QUALITY MEASURES; ALCOHOL-USE; COMORBIDITY; BARRIERS; FACILITATORS; INDICATORS; VALIDITY;
D O I
10.1080/08897077.2018.1544964
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background: Cannabis use disorders (CUDs) have increased with more individuals using cannabis, yet few receive treatment. Health systems have adopted the Healthcare Effectiveness Data and Information Set (HEDIS) quality measures of initiation and engagement in alcohol and other drug (AOD) dependence treatment, but little is known about the performance of these among patients with CUDs. Methods: This cohort study utilized electronic health records and claims data from 7 health care systems to identify patients with documentation of a new index CUD diagnosis (no AOD diagnosis ?60 days prior) from International Classification of Diseases, Ninth revision, codes (October 1, 2014, to August 31, 2015). The adjusted prevalence of each outcome (initiation, engagement, and a composite of both) was estimated from generalized linear regression models, across index identification settings (inpatient, emergency department, primary care, addiction treatment, and mental health/psychiatry), AOD comorbidity (patients with CUD only and CUD plus other AOD diagnoses), and patient characteristics. Results: Among 15,202 patients with an index CUD diagnosis, 30.0% (95% confidence interval [CI]: 29.2?30.7%) initiated, 6.9% (95% CI: 6.2?7.7%) engaged among initiated, and 2.1% (95% CI: 1.9?2.3%) overall both initiated and engaged in treatment. The adjusted prevalence of outcomes varied across index identification settings and was highest among patients diagnosed in addiction treatment, with 25.0% (95% CI: 22.5?27.6%) initiated, 40.9% (95% CI: 34.8?47.0%) engaged, and 12.5% (95% CI: 10.0?15.1%) initiated and engaged. The adjusted prevalence of each outcome was generally highest among patients with CUD plus other AOD diagnosis at index diagnosis compared with those with CUD only, overall and across index identification settings, and was lowest among uninsured and older patients. Conclusion: Among patients with a new CUD diagnosis, the proportion meeting HEDIS criteria for initiation and/or engagement in AOD treatment was low and demonstrated variation across index diagnosis settings, AOD comorbidity, and patient characteristics, pointing to opportunities for improvement.
引用
收藏
页码:268 / 277
页数:10
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