是什么影响了澳大利亚药剂师供应阿片类药物的决定?结果来自调查和随机对照析因实验。

IF 3 3区 医学 Q2 SUBSTANCE ABUSE
Louisa Picco, Ting Xia, Rose Laing, Elizabeth Grist, Jana Dostal, Suzanne Nielsen
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引用次数: 0

摘要

简介:处方药监测程序(PDMP)识别药物相关的风险,以支持临床决策。本研究旨在报告基于PDMP警报的处方药物拒绝率,并确定PDMP警报和其他特征如何影响药剂师提供阿片类药物的决定。方法:药师完成在线调查和随机对照析因试验。广义线性模型探讨了各州拒绝比例的差异。药剂师表示,他们可能提供阿片类药物基于六个临床小插曲。混合效应线性回归模型探讨了小插曲和药物相关特征以及提供阿片类药物的可能性之间的关系。结果:598名药师(n = 3370名)相关数据。管辖权与拒绝有关;与维多利亚州药剂师相比,西澳大利亚州药剂师拒绝供应的几率显著降低(优势比= 0.186,95%可信区间0.104 ~ 0.331)。析因实验显示,供应可能性降低的最强预测因子是PDMP高剂量(β = -2.76, p)。讨论和结论:在析因实验中,观察到拒绝供应的司法管辖区差异,而PDMP警报是供应阿片类药物可能性降低的最强预测因子。在澳大利亚实施这一供应侧政策后,应避免PDMPs的意外后果,包括在其他地方观察到的阿片类药物突然停药。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What influences Australian pharmacists' decisions to supply opioids? Results from a survey and randomised controlled factorial experiment

Introduction

Prescription drug monitoring programs (PDMP) identify medication-related risks to support clinical decision-making. This study aims to report prescription medication refusal rates based on PDMP alerts and determine how PDMP alerts and other characteristics influence pharmacists' decisions to supply opioids.

Methods

Pharmacists completed an online survey and randomised controlled factorial experiment. Generalised linear models explored differences in the proportion of refusals by state. Pharmacists indicated their likelihood to supply opioids based on six clinical vignettes. Mixed-effect linear regression models explored the association between vignette and pharmacy-related characteristics and the likelihood to supply opioids.

Results

Data related to 598 pharmacists (n = 3370 vignettes). Jurisdiction was associated with refusals; Western Australian pharmacists had significantly lower odds of refusing supply compared with Victorian pharmacists (odds ratio = 0.186, 95% confidence interval 0.104–0.331). The factorial experiment revealed the strongest predictors of reduced likelihood to supply were the PDMP high dose (β = −2.76, p < 0.001) and multiple prescriber (β = −3.79, p < 0.001) alerts. Unemployment (β = −0.0421, p < 0.001), hepatitis C (β = −0.260, p = 0.009), depression (β = −0.301, p = 0.003), high opioid dose (β = −0.259, p = 0.002) and co-prescribed opioids with benzodiazepines (β = −0.478, p = 0.001) resulted in smaller reductions in the likelihood to supply. Older patient age, patient familiarity and rural/remote pharmacies were associated with significant, albeit small increases in the likelihood to supply with respective 0.293-, 0.250- and 0.339-unit increases.

Discussion and Conclusions

Jurisdictional differences in refusal to supply were observed, while PDMP alerts were the strongest predictor of reduced likelihood to supply opioids in the factorial experiment. Unintended consequences of PDMPs including abrupt opioid discontinuation observed elsewhere, should be avoided following the implementation of this supply-side policy in Australia.

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来源期刊
Drug and alcohol review
Drug and alcohol review SUBSTANCE ABUSE-
CiteScore
4.80
自引率
10.50%
发文量
151
期刊介绍: Drug and Alcohol Review is an international meeting ground for the views, expertise and experience of all those involved in studying alcohol, tobacco and drug problems. Contributors to the Journal examine and report on alcohol and drug use from a wide range of clinical, biomedical, epidemiological, psychological and sociological perspectives. Drug and Alcohol Review particularly encourages the submission of papers which have a harm reduction perspective. However, all philosophies will find a place in the Journal: the principal criterion for publication of papers is their quality.
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