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Drug Alcohol Depend. 2021 Feb 1;219:108501. doi: 10.1016/j.drugalcdep.2020.108501. Epub 2021 Jan 3.
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Changes in opioid prescribing after implementation of mandatory registration and proactive reports within California's prescription drug monitoring program.加利福尼亚州处方药物监测计划实施强制性登记和主动报告后,阿片类药物处方的变化。
Drug Alcohol Depend. 2021 Jan 1;218:108405. doi: 10.1016/j.drugalcdep.2020.108405. Epub 2020 Nov 12.
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Opioid Prescribing by Primary Care Providers: a Cross-Sectional Analysis of Nurse Practitioner, Physician Assistant, and Physician Prescribing Patterns.初级保健提供者的阿片类药物处方:对执业护士、医师助理和医生处方模式的横断面分析。
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Drug and Opioid-Involved Overdose Deaths - United States, 2017-2018.药物和阿片类药物相关过量死亡 - 美国,2017-2018 年。
MMWR Morb Mortal Wkly Rep. 2020 Mar 20;69(11):290-297. doi: 10.15585/mmwr.mm6911a4.
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Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data.利用处方药物监测计划数据预测阿片类药物过量死亡。
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The effectiveness of prescription drug monitoring programs at reducing opioid-related harms and consequences: a systematic review.处方药物监测项目在减少阿片类药物相关危害和后果方面的有效性:系统评价。
BMC Health Serv Res. 2019 Nov 1;19(1):784. doi: 10.1186/s12913-019-4642-8.
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Changes in Opioid-Involved Overdose Deaths by Opioid Type and Presence of Benzodiazepines, Cocaine, and Methamphetamine - 25 States, July-December 2017 to January-June 2018.阿片类药物滥用相关过量死亡的变化,按阿片类药物类型以及苯二氮䓬类药物、可卡因和冰毒的存在情况划分-25 个州,2017 年 7 月至 12 月至 2018 年 1 月至 6 月。
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Differences in Opioid Prescribing Among Generalist Physicians, Nurse Practitioners, and Physician Assistants.全科医生、护士从业者和医师助理之间阿片类药物处方的差异。
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通过马里兰州处方药监测计划(PDMP)进行的主动报告通知(URNs):提供者的特征

Unsolicited reporting notifications (URNs) through Maryland's prescription drug monitoring program (PDMP): Characteristics of providers.

作者信息

Amin-Esmaeili Masoumeh, Gribble Anna, Johnson Renee M, Alinsky Rachel H, Oyedele Natasha, Parnham Taylor, Byregowda Himani, Schneider Kristin E, Park Ju Nyeong, Goddard Lindsey, Susukida Ryoko

机构信息

Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.

Maryland Department of Health (MDH), Office of Provider Engagement and Regulation (OPER).

出版信息

Drug Alcohol Depend Rep. 2022 Oct 29;5:100111. doi: 10.1016/j.dadr.2022.100111. eCollection 2022 Dec.

DOI:10.1016/j.dadr.2022.100111
PMID:36844159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9948924/
Abstract

OBJECTIVES

Unsolicited reporting is the activity of analyzing Prescription Drug Monitoring Program (PDMP) data and then sending unsolicited reporting notifications (URNs) to prescribers to notify them of their outlier prescribing behavior. We aimed to describe information about prescribers who were issued URNs.

METHODS

A retrospective study of Maryland's PDMP data from Jan.2018-Apr.2021. All providers who were issued ≥ one URN were included in analyses. We summarized data on types of URNs issued by provider type and years in practice using basic descriptive measures. We also performed logistic regression analysis to provide odds ratio and estimated marginal probability of issuing ≥ one URN to providers in the Maryland health care workforce in comparison with physicians as reference group.

RESULTS

A total of 4,446 URNs were issued to 2,750 unique providers. Odds ratio (OR) and the population estimated probability of issuing URNs were higher among nurse practitioners [OR: 1.42, 95% Confidence Interval (CI): 1.26-1.59] followed by physician assistants [OR: 1.87, 95% CI: 1.69-2.08], compared to physicians. Physicians and dentists with >10 years in practice comprised the majority of providers who were issued URNs (65.1% and 62.6%, respectively), while majority of nurse practitioners had been in practice for <10 years (75.8%).

CONCLUSION

Findings indicate a higher probability of issuing URN for Maryland's physician assistants and nurse practitioners, compared to physicians, and an overrepresentation of physicians and dentists with longer and nurse practitioners with shorter practice experience. The study suggests education programs on safer prescribing practices and management of opioids should target certain types of providers.

摘要

目的

主动报告是指分析处方药监测计划(PDMP)数据,然后向开处方者发送主动报告通知(URN),以告知他们异常的开处方行为。我们旨在描述收到URN通知的开处方者的相关信息。

方法

对2018年1月至2021年4月马里兰州的PDMP数据进行回顾性研究。所有收到≥1份URN的提供者都纳入分析。我们使用基本描述性指标总结了按提供者类型和执业年限发放的URN类型的数据。我们还进行了逻辑回归分析,以提供与作为参考组的医生相比向马里兰州医疗保健人员中的提供者发放≥1份URN的优势比和估计边际概率。

结果

共向2750名不同的提供者发放了4446份URN通知。与医生相比,执业护士发放URN的优势比(OR)和总体估计概率更高[OR:1.42,95%置信区间(CI):1.26 - 1.59],其次是医师助理[OR:1.87,95%CI:1.69 - 2.08]。执业超过10年的医生和牙医占收到URN通知的提供者的大多数(分别为65.1%和62.6%),而大多数执业护士的执业年限<10年(75.8%)。

结论

研究结果表明,与医生相比马里兰州的医师助理和执业护士收到URN通知的可能性更高,且执业年限较长的医生和牙医以及执业年限较短的执业护士占比过高。该研究表明,关于更安全的开处方做法和阿片类药物管理的教育计划应针对某些类型的提供者。