Trends in Prescribing Opioids, Benzodiazepines, and Both Among Adults with Alcohol Use Disorder in New York State

被引:2
作者
Jacobs, David M. [1 ]
Tober, Ryan [1 ]
Yu, Carrie [1 ]
Gibson, Walter [1 ]
Dunn, Terry [1 ]
Lu, Chi-Hua [1 ]
Bednzarczyk, Edward [1 ]
Jette, Gail [2 ]
Lape-Newman, Brynn [3 ]
Falls, Zackary [4 ]
Elkin, Peter L. [4 ,5 ,6 ]
Leonard, Kenneth E. [7 ]
机构
[1] Univ Buffalo, Sch Pharm & Pharmaceut Sci, Dept Pharm Practice, Buffalo, NY 14260 USA
[2] Off Addict Serv & Supports, Div Outcomes Management & Syst Informat, Albany, NY USA
[3] Off Hlth Insurance Programs, Div Program Dev & Management, Albany, NY USA
[4] Univ Buffalo, Jacobs Sch Med & Biomed Sci, Dept Biomed Informat, Buffalo, NY USA
[5] Univ Southern Denmark, Fac Engn, Odense, Denmark
[6] US Dept Vet Affairs, WNY VA, Buffalo, NY USA
[7] Univ Buffalo, Clin & Res Inst Addict, Buffalo, NY USA
基金
美国国家卫生研究院;
关键词
Opioids; Benzodiazepines; Co-prescribing; Alcohol use disorder; Prescribing patterns; UNITED-STATES; CHRONIC PAIN; ETHNIC DISPARITIES; ABUSE; MORTALITY; DEATHS; VISITS; MISUSE; RISK;
D O I
10.1007/s11606-022-07682-3
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Alcohol use disorder (AUD) is a highly prevalent public health problem that contributes to opioid- and benzodiazepine-related morbidity and mortality. Even though co-utilization of these substances is particularly harmful, data are sparse on opioid or benzodiazepine prescribing patterns among individuals with AUD. Objective To estimate temporal trends and disparities in opioid, benzodiazepine, and opioid/benzodiazepine co-prescribing among individuals with AUD in New York State (NYS). Design/Participants Serial cross-sectional study analyzing merged data from the NYS Office of Addiction Services and Supports (OASAS) and the NYS Department of Health Medicaid Data Warehouse. Subjects with a first admission to an OASAS treatment program from 2005-2018 and a primary AUD were included. A total of 148,328 subjects were identified. Measures Annual prescribing rates of opioids, benzodiazepines, or both between the pre- (2005-2012) and post- (2013-2018) Internet System for Tracking Over-Prescribing (I-STOP) periods. I-STOP is a prescription monitoring program implemented in NYS in August 2013. Analyses were stratified based on sociodemographic factors (age, sex, race/ethnicity, and location). Results Opioid prescribing rates decreased between the pre- and post-I-STOP periods from 25.1% (95% CI, 24.9-25.3%) to 21.3% (95% CI, 21.2-21.4; P <.001), while benzodiazepine (pre: 9.96% [95% CI, 9.83-10.1%], post: 9.92% [95% CI, 9.83-10.0%]; P =.631) and opioid/benzodiazepine prescribing rates remained unchanged (pre: 3.01% vs. post: 3.05%; P =.403). After I-STOP implementation, there was a significant decreasing trend in opioid (change, -1.85% per year, P <.0001), benzodiazepine (-0.208% per year, P =.0184), and opioid/benzodiazepine prescribing (-0.267% per year, P <.0001). Opioid, benzodiazepine, and co-prescription rates were higher in females, White non-Hispanics, and rural regions. Conclusions Among those with AUD, opioid prescribing decreased following NYS I-STOP program implementation. While both benzodiazepine and opioid/benzodiazepine co-prescribing rates remained high, a decreasing trend was evident after program implementation. Continuing high rates of opioid and benzodiazepine prescribing necessitate the development of innovative approaches to improve the quality of care.
引用
收藏
页码:138 / 146
页数:9
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