Mapping prescription drug monitoring program data to self-report measures of non-medical prescription opioid use in community pharmacy settings

被引:0
作者
Charron, Elizabeth [1 ,2 ,8 ]
Brooks, Jennifer H. [3 ,4 ]
Peterson, Keegan T. [5 ]
Akinwolere, Olusegun G. [4 ]
Winhusen, T. [6 ,7 ]
Cochran, Gerald [2 ]
机构
[1] Univ Oklahoma, Hudson Coll Publ Hlth, Schusterman Ctr, Hlth Sci Ctr, Tulsa, OK USA
[2] Univ Utah, Sch Med, Program Addict Res Clin Care Knowledge & Advocacy, Div Epidemiol, Salt Lake City, UT USA
[3] Childrens Natl Hosp, Washington, DC USA
[4] Friends Res Inst, Baltimore, MD USA
[5] Penn State Coll Med, Dept Publ Hlth Sci, Hershey, PA USA
[6] Univ Cincinnati, Coll Med, Dept Psychiat & Behav Neurosci, Cincinnati, OH USA
[7] Univ Cincinnati, Coll Med, Ctr Addict Res, Cincinnati, OH USA
[8] Univ Oklahoma, Hudson Coll Publ Hlth, Hlth Sci Ctr, Oklahoma City, OK 74104 USA
基金
美国国家卫生研究院;
关键词
Community pharmacy; Non-medical prescription opioid use; Opioids; Screening; Prescription opioids; Substance abuse; SCREENING-TEST ASSIST; OVERDOSE; PAIN; RELIABILITY; VALIDITY; ALCOHOL; SMOKING; ABUSE;
D O I
10.1016/j.sapharm.2023.04.121
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Community pharmacists are well-positioned to identify patients engaged in non-medical prescription opioid use (NMPOU) through Prescription Drug Monitoring Program (PDMP) databases. Integrating patientreported outcomes with PDMP data may improve the interpretability of PDMP information to support clinical decision-making.Objective: This study linked patient-reported clinical measures of substance use with PDMP data to examine relationships between average daily opioid dose in morphine milligram equivalents (MME) and visits to multiple pharmacies/prescribers with self-reported NMPOU.Methods: Data from a cross-sectional health assessment given to patients aged & GE;18 years filling opioid prescriptions were linked to PDMP records. NMPOU in the past three months was assessed on a continuous scale (range 0-39) using an adapted version of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). PDMP measures included average daily MME and number of distinct pharmacies/prescribers visited in the past 180 days. Univariable and multivariable zero-inflated negative binomial models estimated associations between PDMP measures and any NMPOU and severity of use.Results: The sample included 1421 participants. In multivariable models adjusted for sociodemographic, mental health, and physical health characteristics, any NMPOU was associated with higher average daily MME (adjusted OR = 1.22, 95% CI = 1.05-1.39) and number of distinct prescribers visited (adjusted OR = 1.15, 95% CI = 1.01-1.30). Higher average daily MME (adjusted mean ratio (MR) = 1.12, 95% CI = 1.08-1.15), number of distinct pharmacies visited (adjusted MR = 1.11, 95% CI = 1.04-1.18), and number of distinct prescribers visited (adjusted MR = 1.07, 95% CI = 1.02-1.11) were associated with increased NMPOU severity.Conclusions: We observed significant, positive associations between average daily MME and visits to multiple pharmacies/prescribers with any NMPOU and severity of use. This study demonstrates self-report clinical measures of substance use can be cross-walked to PDMP data and translated into clinically interpretable information.
引用
收藏
页码:1171 / 1177
页数:7
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