Associations of clinical personnel characteristics and controlled substance prescribing practices.

IF 1.4 Q2 MEDICINE, GENERAL & INTERNAL Journal of Osteopathic Medicine Pub Date : 2023-09-01 DOI:10.1515/jom-2022-0234
Robert Millhollon, Covenant Elenwo, Alex Lundberg, Will Roberts, Jason Beaman, Natasha Bray, Micah Hartwell
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引用次数: 0

Abstract

Context: Over 68,000 deaths were attributed to opioid-related overdose in 2020. Evaluative studies have shown that states that utilized Prescription Drug Monitoring Program (PDMP) systems have decreased opioid-related deaths. With the growing use of PDMPs and an ongoing opioid epidemic, determining the demographics of physicians at risk of overprescribing can elucidate prescribing practices and inform recommendations to change prescribing behaviors.

Objectives: This study aims to assess prescribing behaviors by physicians in 2021 based on four demographics utilizing the National Electronic Health Record System (NEHRS): physician's age, sex, specialty, and degree (MD or Doctor of Osteopathic Medicine [DO]).

Methods: We performed a cross-sectional study of the 2021 NEHRS to determine the relationship between physician characteristics and PDMP use on opioid-prescribing behaviors. Differences between groups were measured via design-based chi-square tests. We constructed multivariable logistic regression models to assess the relationships, via adjusted odds ratios (AOR), between physician characteristics and alternate prescribing patterns.

Results: Compared to female physicians, male physicians were more likely to alter their original prescription to reduce morphine milligram equivalents (MMWs) prescribed for a patient (AOR: 1.60; CI: 1.06-2.39; p=0.02), to change to a nonopioid/nonpharmacologic option (AOR: 1.91; 95 % CI: 1.28-2.86; p=0.002), to prescribe naloxone (AOR=2.06; p=0.039), or to refer for additional treatment (AOR=2.07; CI: 1.36-3.16; p<0.001). Compared to younger physicians, those over the age of 50 were less likely to change their prescription to a nonopioid/nonpharmacologic option (AOR=0.63; CI: 0.44-0.90; p=0.01) or prescribe naloxone (AOR=0.56, CI: 0.33-0.92; p=0.02).

Conclusions: Our results showed a statistically significant difference between specialty category and frequency of prescribing controlled substances. After checking the PDMP, male physicians were more likely to alter their original prescription to include harm-reduction strategies. Optimizing the use of PDMP systems may serve to improve prescribing among US physicians.

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临床人员特征与受控物质处方实践的关联。
背景:2020年,有68,000多人死于与阿片类药物有关的过量服用。评估性研究表明,使用处方药监测计划(PDMP)系统的州减少了阿片类药物相关的死亡。随着PDMPs使用的增加和阿片类药物的持续流行,确定有过量处方风险的医生的人口统计数据可以阐明处方做法,并为改变处方行为提供建议。目的:本研究旨在利用国家电子健康记录系统(NEHRS)评估2021年医生的处方行为,基于四个人口统计数据:医生的年龄、性别、专业和学位(MD或骨科医学博士[DO])。方法:我们对2021年NEHRS进行了一项横断面研究,以确定医生特征与PDMP在阿片类药物处方行为中的使用之间的关系。通过基于设计的卡方检验测量组间差异。我们构建了多变量逻辑回归模型,通过调整优势比(AOR)来评估医生特征与替代处方模式之间的关系。结果:与女性医生相比,男性医生更有可能改变他们的原始处方,以减少为患者开出的吗啡毫克当量(MMWs) (AOR: 1.60;置信区间:1.06—-2.39;p=0.02),改为非阿片类药物/非药物治疗(AOR: 1.91;95 % ci: 1.28-2.86;p=0.002),处方纳洛酮(AOR=2.06;p=0.039),或寻求额外治疗(AOR=2.07;置信区间:1.36—-3.16;结论:我们的研究结果显示,管制药品的专业类别和处方频率具有统计学意义。在检查了PDMP后,男性医生更有可能改变他们原来的处方,加入减少伤害的策略。优化PDMP系统的使用可能有助于改善美国医生的处方。
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来源期刊
Journal of Osteopathic Medicine
Journal of Osteopathic Medicine Health Professions-Complementary and Manual Therapy
CiteScore
2.20
自引率
13.30%
发文量
118
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