口服阿片类药物:利用R编程和数据科学来打击阿片类药物的滥用
Ankona Banerjee1, Erik Stricker1
1Center for Epidemiology & Population Health, Baylor College of Medicine, Houston, TX, USA.
Health services research and managerial epidemiology
|November 6, 2023
概括
口服阿片类药物R包为分析加拿大阿片类药物处方提供了一个新的工具. 这种研究工具准确计算了与吗啡相当的剂量,有助于了解国家阿片类药物局势.
科学领域:
- 药理学 药理学是指药理学的学科.
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 加拿大面临着相当大的人均制药类阿片类药物消费.
- 需要专门的研究工具来分析阿片类药物处方数据.
研究的目的:
- 介绍"口服阿片类药物R包",这是一个用于分析加拿大的阿片类药物处方的新型研究工具.
- 为深入研究药用阿片类药物消费提供一个全面的平台.
主要方法:
- 使用加拿大卫生部的药物产品数据库 (DPD) 获准的口服阿片类药物.
- 过药物识别号码 (DIN) 通过麻醉剂表和注射途径.
- 使用CDC表和加拿大指南计算吗啡等效剂量 (MED).
主要成果:
- 口服阿片类药物包在MED计算中表现出高度准确性.
- 与已建立的阿片类药物计算器 (如MDCalc,俄勒冈疼痛和俄俄疼痛) 相比,呈现出近乎完美的相关性 (R平方=0.99).
结论:
- 口服阿片类药物计划是加拿大阿片类药物领域的研究和监测的重大进展.
- 它包括已停止使用的阿片类药物的能力提供了历史洞察力,并支持营销后监测.
- 该工具对研究人员,医疗保健提供者和政策制定者来说是有价值的,具有全球应用的潜力.
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