Suppr超能文献

谁使用处方药监测程序以及如何使用?来自俄勒冈州临床医生全州范围调查的见解。

Who uses a prescription drug monitoring program and how? Insights from a statewide survey of Oregon clinicians.

作者信息

Irvine Jessica M, Hallvik Sara E, Hildebran Christi, Marino Miguel, Beran Todd, Deyo Richard A

机构信息

Acumentra Health, Portland, Oregon.

Acumentra Health, Portland, Oregon.

出版信息

J Pain. 2014 Jul;15(7):747-55. doi: 10.1016/j.jpain.2014.04.003. Epub 2014 Apr 29.

Abstract

UNLABELLED

Prescription drug monitoring programs (PDMPs) are relatively new but potentially useful tools to enhance prudent prescribing of controlled substances. However, little is known about the types of clinicians who make the most use of PDMPs, how these programs are incorporated into clinicians' work flow, or how clinicians and patients respond to the information. We therefore surveyed a random sample of Oregon providers, with 1,065 respondents. Clinicians in emergency medicine, primary care, and pain and addiction specialties were the largest number of registrants, but many frequent prescribers of controlled substances were not registered to use the PDMP. Among users, 95% reported accessing the PDMP when they suspected a patient of abuse or diversion, but fewer than half would check it for every new patient or every time they prescribe a controlled drug. Nearly all PDMP users reported that they discuss worrisome PDMP data with patients; 54% reported making mental health or substance abuse referrals, and 36% reported sometimes discharging patients from the practice. Clinicians reported frequent patient denial or anger and only occasional requests for help with drug dependence. More research is needed to optimize how clinicians use PDMPs across settings and how clinicians and patients respond to the data.

PERSPECTIVE

This study examined differences between PDMP users and nonusers and how clinicians in various specialties use PDMPs in practice. A better understanding of effective PDMP use will facilitate access to treatment for patients with pain while curbing the prescription drug epidemic and may ultimately reduce abuse, misuse, and overdose death.

摘要

未标注

处方药监测项目(PDMPs)是相对较新但可能有用的工具,可促进对管制药品的审慎处方。然而,对于最常使用PDMPs的临床医生类型、这些项目如何融入临床医生的工作流程,或临床医生和患者对这些信息的反应,我们了解甚少。因此,我们对俄勒冈州的提供者进行了随机抽样调查,有1065名受访者。急诊医学、初级保健以及疼痛与成瘾专科的临床医生是注册人数最多的,但许多经常开具管制药品的医生并未注册使用PDMP。在使用者中,95%报告称在怀疑患者存在药物滥用或转移时会访问PDMP,但不到一半的人会在接待每一位新患者或每次开具管制药品时进行检查。几乎所有PDMP使用者都报告称,他们会与患者讨论令人担忧的PDMP数据;54%报告进行心理健康或药物滥用转诊,36%报告有时会将患者从诊疗中排除。临床医生报告称患者经常否认或愤怒,且只有偶尔会请求帮助解决药物依赖问题。需要更多研究来优化临床医生在不同环境中使用PDMP的方式,以及临床医生和患者对数据的反应。

观点

本研究考察了PDMP使用者和非使用者之间的差异,以及各专科临床医生在实践中如何使用PDMP。更好地理解PDMP的有效使用将有助于为疼痛患者提供治疗,同时遏制处方药流行,并最终可能减少滥用、误用和过量用药死亡。

相似文献

1
Who uses a prescription drug monitoring program and how? Insights from a statewide survey of Oregon clinicians.
J Pain. 2014 Jul;15(7):747-55. doi: 10.1016/j.jpain.2014.04.003. Epub 2014 Apr 29.
3
Physician attitudes and experiences with Maryland's prescription drug monitoring program (PDMP).
Addiction. 2017 Feb;112(2):311-319. doi: 10.1111/add.13620. Epub 2016 Nov 3.
7
Controlled Substance Prescribing Patterns--Prescription Behavior Surveillance System, Eight States, 2013.
MMWR Surveill Summ. 2015 Oct 16;64(9):1-14. doi: 10.15585/mmwr.ss6409a1.
8
How clinicians use prescription drug monitoring programs: a qualitative inquiry.
Pain Med. 2014 Jul;15(7):1179-86. doi: 10.1111/pme.12469. Epub 2014 May 16.
9
Provider Prescription Drug Monitoring Program Utilization and Self-Auditing-A Pilot Study.
J Dr Nurs Pract. 2020 Jul 1;13(2):142-147. doi: 10.1891/JDNP-D-19-00064. Epub 2020 Jul 2.

引用本文的文献

3
A Review of Federal and Statewide Guidelines and Their Effects on Orthopedics.
Cureus. 2023 Sep 16;15(9):e45374. doi: 10.7759/cureus.45374. eCollection 2023 Sep.
4
CDC Clinical Practice Guideline for Prescribing Opioids for Pain - United States, 2022.
MMWR Recomm Rep. 2022 Nov 4;71(3):1-95. doi: 10.15585/mmwr.rr7103a1.
5
PRescribing Interventions for Chronic pain using the Electronic health record (PRINCE): Study protocol.
Contemp Clin Trials. 2022 Oct;121:106905. doi: 10.1016/j.cct.2022.106905. Epub 2022 Aug 31.
7
A comparison of trends in opioid dispensing patterns between Medicaid pharmacy claims and prescription drug monitoring program data.
Pharmacoepidemiol Drug Saf. 2020 Sep;29(9):1168-1174. doi: 10.1002/pds.5097. Epub 2020 Aug 10.
8
State Policies for Prescription Drug Monitoring Programs and Adverse Opioid-related Hospital Events.
Med Care. 2020 Jul;58(7):610-616. doi: 10.1097/MLR.0000000000001322.
10
Assessing Patients' Risk for Opioid Use Disorder.
AACN Adv Crit Care. 2019 Dec 15;30(4):343-352. doi: 10.4037/aacnacc2019931.

本文引用的文献

2
Prescribers and pharmacists requests for prescription monitoring program (PMP) data: does PMP structure matter?
J Pain Palliat Care Pharmacother. 2013 Jun;27(2):136-42. doi: 10.3109/15360288.2013.788598. Epub 2013 May 20.
3
How does use of a prescription monitoring program change medical practice?
Pain Med. 2012 Oct;13(10):1314-23. doi: 10.1111/j.1526-4637.2012.01452.x. Epub 2012 Jul 30.
4
Influencing controlled substance prescribing: attending and resident physician use of a state prescription monitoring program.
Pain Med. 2012 Jul;13(7):908-14. doi: 10.1111/j.1526-4637.2012.01412.x. Epub 2012 Jun 8.
5
Doctor and pharmacy shopping for controlled substances.
Med Care. 2012 Jun;50(6):494-500. doi: 10.1097/MLR.0b013e31824ebd81.
6
A history of being prescribed controlled substances and risk of drug overdose death.
Pain Med. 2012 Jan;13(1):87-95. doi: 10.1111/j.1526-4637.2011.01260.x. Epub 2011 Oct 25.
7
Awareness and utilization of a prescription monitoring program among physicians.
J Pain Palliat Care Pharmacother. 2011;25(4):313-7. doi: 10.3109/15360288.2011.606292. Epub 2011 Sep 21.
8
Characteristics of opioid prescriptions in 2009.
JAMA. 2011 Apr 6;305(13):1299-301. doi: 10.1001/jama.2011.401.
10
A statewide prescription monitoring program affects emergency department prescribing behaviors.
Ann Emerg Med. 2010 Jul;56(1):19-23.e1-3. doi: 10.1016/j.annemergmed.2009.12.011. Epub 2010 Jan 4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验