• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

德克萨斯州开处方医生和药剂师使用处方监测计划的相关因素。

Factors associated with the use of the prescription monitoring program by prescribers and pharmacists in Texas.

机构信息

College of Pharmacy, Department of Pharmaceutical Health Outcomes and Policy, University of Houston, Houston, Texas, USA.

Prescription Drug Misuse Education and Research (PREMIER) Center, College of Pharmacy, University of Houston, Houston, Texas, USA.

出版信息

Pharmacoepidemiol Drug Saf. 2021 Apr;30(4):492-503. doi: 10.1002/pds.5198. Epub 2021 Jan 31.

DOI:10.1002/pds.5198
PMID:33458926
Abstract

PURPOSE

To describe Texas Prescription Monitoring Program (PMP) use and identify predictors of PMP query for opioid and benzodiazepine prescriptions by prescribers and pharmacists.

METHODS

Dispensation and query records from the Texas PMP for opioid and benzodiazepine medications dispensed between October 1, 2016 and December 31, 2018 were linked using common patient identifiers. Autoregressive linear regression was used to assess trends in utilization. Hierarchical logistic models were specified to identify factors associated with provider and pharmacist query of opioid and benzodiazepine prescriptions.

RESULTS

Despite a significant increase in the total number of pharmacists (β = 169.85, p < 0.0001) and prescribers (β = 301.59, p < 0.0001) who used the PMP every month, the ratio of active to registered pharmacists (β = -0.0001, p = 0.75) and prescribers (β = -0.0015, p = 0.10) did not change. Pharmacists and prescribers were significantly more likely to query opioid and benzodiazepine prescriptions of 14 days or more, and those issued to patients new to their practice. Pharmacists were most likely to query opioid prescriptions for oxycodone (aOR = 4.51, 95%CI = 4.42-4.60) and prescribers were most likely to query prescriptions for buprenorphine (aOR = 2.24, 95%CI = 2.15-2.35) compared to codeine.

CONCLUSION

Changes in PMP utilization between October 2016 and December 2018 were driven by increasing registration, not increasing frequency of use among registered users. Use of the PMP is inconsistent and dependent upon patient characteristics thus limiting the utility of the PMP as a decision support tool. These results support the need for policy mandating PMP use in Texas and provide a useful baseline and framework to evaluate the effectiveness of mandate implementation.

摘要

目的

描述德克萨斯州处方监测计划(PMP)的使用情况,并确定开处方医生和药剂师查询阿片类药物和苯二氮䓬类药物处方的预测因素。

方法

使用共同的患者标识符,将 2016 年 10 月 1 日至 2018 年 12 月 31 日期间德克萨斯州 PMP 分发和查询记录进行链接。使用自回归线性回归评估使用趋势。指定分层逻辑模型以确定与提供者和药剂师查询阿片类药物和苯二氮䓬类药物处方相关的因素。

结果

尽管每月使用 PMP 的药剂师(β=169.85,p<0.0001)和开处方医生(β=301.59,p<0.0001)的总数显着增加,但活跃药剂师(β=-0.0001,p=0.75)和开处方医生(β=-0.0015,p=0.10)的比例并未改变。药剂师和开处方医生更有可能查询阿片类药物和苯二氮䓬类药物处方,且这些处方的持续时间为 14 天或更长时间,并且这些处方是开给新患者的。药剂师最有可能查询羟考酮(阿片类药物)的处方(aOR=4.51,95%CI=4.42-4.60),而开处方医生最有可能查询丁丙诺啡(buprenorphine)的处方(aOR=2.24,95%CI=2.15-2.35)。

结论

2016 年 10 月至 2018 年 12 月期间,PMP 使用情况的变化是由注册人数的增加驱动的,而不是注册用户使用频率的增加。PMP 的使用不一致,并且取决于患者特征,因此限制了 PMP 作为决策支持工具的实用性。这些结果支持在德克萨斯州强制使用 PMP 的政策,并提供了一个有用的基线和框架,以评估强制实施的效果。

相似文献

1
Factors associated with the use of the prescription monitoring program by prescribers and pharmacists in Texas.德克萨斯州开处方医生和药剂师使用处方监测计划的相关因素。
Pharmacoepidemiol Drug Saf. 2021 Apr;30(4):492-503. doi: 10.1002/pds.5198. Epub 2021 Jan 31.
2
Mismatch Game: PMP Errors Could Harm Patient-Physician Relationship.错配游戏:项目管理专业人士(PMP)的错误可能损害医患关系。
Tex Med. 2020 Oct 1;116(10):38-39.
3
Impact of COVID-19 related policy changes on filling of opioid and benzodiazepine medications.COVID-19 相关政策变化对阿片类药物和苯二氮䓬类药物用药情况的影响。
Res Social Adm Pharm. 2021 Jan;17(1):2005-2008. doi: 10.1016/j.sapharm.2020.06.003. Epub 2020 Jun 3.
4
Provider beliefs on the Barriers and Facilitators to Prescription Monitoring Programs and Mandated Use.提供者对处方监测计划和强制使用的障碍和促进因素的看法。
Subst Use Misuse. 2020;55(1):1-11. doi: 10.1080/10826084.2019.1648512. Epub 2019 Aug 19.
5
Controlled Substance Prescribing Patterns--Prescription Behavior Surveillance System, Eight States, 2013.受控物质处方模式 - 处方行为监测系统,八个州,2013 年。
MMWR Surveill Summ. 2015 Oct 16;64(9):1-14. doi: 10.15585/mmwr.ss6409a1.
6
Impact of a prescription drug monitoring program use mandate on potentially problematic patterns of opioid analgesic prescriptions in New York City.处方药监测计划使用授权对纽约市阿片类镇痛药处方潜在问题模式的影响。
Pharmacoepidemiol Drug Saf. 2019 May;28(5):734-739. doi: 10.1002/pds.4766. Epub 2019 Mar 28.
7
Impact of Iowa's Prescription Monitoring Program on Opioid Pain Reliever Prescribing Patterns: An Interrupted Time Series Study 2003-2014.爱荷华州处方监测计划对阿片类止痛药处方模式的影响:2003-2014 年的中断时间序列研究。
Pain Med. 2019 Feb 1;20(2):290-300. doi: 10.1093/pm/pny029.
8
How does use of a prescription monitoring program change pharmacy practice?处方监测计划的使用如何改变药学实践?
J Am Pharm Assoc (2003). 2013 May-Jun;53(3):273-81. doi: 10.1331/JAPhA.2013.12094.
9
Prescribing patterns of buprenorphine waivered physicians.有资格开丁丙诺啡的医师的处方模式。
Drug Alcohol Depend. 2017 Dec 1;181:213-218. doi: 10.1016/j.drugalcdep.2017.10.002. Epub 2017 Oct 18.
10
Trends in Florida's Prescription Drug Monitoring Program registration and utilization: Implications for increasing voluntary use.佛罗里达州处方药监测计划的注册与使用趋势:对提高自愿使用率的启示
J Opioid Manag. 2017 Sep/Oct;13(5):283-289. doi: 10.5055/jom.2017.0397.

引用本文的文献

1
Characterising incident opioid use among incident users of prescription sedative hypnotics: A national cohort study.描述新处方镇静催眠药物使用者中偶发性阿片类药物使用情况:一项全国队列研究。
BMJ Open. 2024 May 30;14(5):e082339. doi: 10.1136/bmjopen-2023-082339.
2
Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis.医生在开阿片类药物时实施减轻风险策略的观点:定性分析。
BMC Health Serv Res. 2023 Oct 31;23(1):1185. doi: 10.1186/s12913-023-10136-z.