Factors associated with prescription pain reliever misuse: An analysis of statewide data
Factors associated with prescription pain reliever misuse: An analysis of statewide data
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DOI：
10.1016/j.japh.2019.03.009
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发表时间：
2019-07-01
影响因子：
2.1
通讯作者：
Kim, Noel
中科院分区：
文献类型：
--
作者：
Kim, Uriel;Kim, Noel
目的：描述与最近处方止痛药滥用（PPRM）相关的个人水平风险因素。设计：采用21个协变量进行多变量logistic回归分析。设置和参与者：分析了2015年俄亥俄州医疗补助评估调查（OMAS）。2015年OMAS是一项针对所有成年俄亥俄州人的复杂设计的代表性调查，无论医疗补助状况如何（n = 42，876）。结果指标：主要结果是过去一年内的PPRM（“是”与“否”）。结果：估计俄亥俄州有2.75%的成年人在过去一年中报告了PPRM（约242，232人）。回归模型确定了11个协变量，在过去一年中PPRM的几率显著较高。具有最大显著效应量的5个协变量是酗酒习惯（过去一个月酗酒的调整后比值比[AOR]：2.35，95% CI 1.97-2.81;过去一个月饮酒但未酗酒的AOR：1.43，95%CI 1.22-1.67），过去一年因费用原因未接受体检、医疗用品、心理健康护理或眼镜（AOR 1.74，95% CI 1.44-2.11），无保险（AOR 1.67，95% CI 1.15-2.45），过去一年的急诊室访视（AOR 1.66，95% CI 1.42-1.93），并且在过去一年中有支付医疗费用的问题结论：在这项对42，847名成年俄亥俄州人的横断面研究中，确定并量化了过去一年与PPRM相关的协变量。显着的协变量可以大致分为物质使用史，不良的医疗保健服务，人口统计学特征和慢性健康状况。效应量最大的单一协变量是过去一个月的酗酒;与过去一个月根本不喝酒的人相比，这些人在过去一年中支持PPRM的可能性是他们的两倍多。(C)2019年美国药学协会（R）。爱思唯尔公司出版All rights reserved.
Objectives: Characterize the individual-level risk factors associated with recent prescription pain reliever misuse (PPRM).Design: A multivariable logistic regression was developed with 21 covariates.Setting and participants: The 2015 Ohio Medicaid Assessment Survey (OMAS) was analyzed. The 2015 OMAS was a complex-designed representative survey of all adult Ohioans, regardless of Medicaid status (n = 42,876).Outcome measures: The main outcome was PPRM within the past year ("yes" vs. "no"). Results: An estimated 2.75% of adults in Ohio reported PPRM in the past year (approximately 242,232 individuals). The regression model identified 11 covariates with significantly higher odds of PPRM within the past year. The 5 covariates with the largest, significant effect sizes were binge drinking habits (adjusted odds ratio [AOR] for binge drinking in the past month: 2.35, 95% CI 1.97-2.81; AOR for drinking in the past month but no bingeing: 1.43, 95% CI 1.22-1.67), did not get medical examination, medical supplies, mental health care, or eyeglasses in the past year because of cost (AOR 1.74, 95% CI 1.44-2.11), no insurance (AOR 1.67, 95% CI 1.15-2.45), emergency room visits in the past year (AOR 1.66, 95% CI 1.42-1.93), and had problems paying medical bills in the past year (AOR 1.52, 95% CI 1.29e1.80).Conclusion: In this cross-sectional study of 42,847 adult Ohioans, the covariates associated with PPRM in the past year were identified and quantified. The significant covariates can be broadly grouped into substance use history, poor health care access, demographic characteristics, and chronic health conditions. The single covariate with the largest effect size was binge drinking in the past month; those individuals were more than twice as likely to have endorsed PPRM in the past year compared with those who did not drink at all in the past month. (C) 2019 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.