Faculty of Medicine and Health, School of Medical Sciences, Biomedical Informatics and Digital Health, The University of Sydney, Australia; Drug Health Service, Western Sydney Local Health District, Australia.
Faculty of Medicine and Health, The University of Sydney, Australia; Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
Drug Alcohol Depend. 2023 Jun 1;247:109887. doi: 10.1016/j.drugalcdep.2023.109887. Epub 2023 Apr 20.
Prescription drug monitoring programs (PDMPs) are used to mitigate harms from high-risk medicines including misuse, prescription shopping, overdoses, and death. Previous systematic reviews report inconsistent findings. We undertook a systematic review of reviews to 1) describe and identify the methods and outcome measures used to evaluate PDMPs, 2) summarise existing evidence on outcomes and factors that influence PDMP success or benefit realisation.
MEDLINE, EMBASE, Scopus, Cochrane Database of Systematic Reviews, and PROSPERO were used to identify systematic reviews on PDMPs. Twelve papers met the inclusion criteria. Data extracted included review aim, study designs, settings, outcome measures, and key findings. Quality was assessed using AMSTAR 2 quality assessment tool.
Review papers were categorised as outcome or process evaluation reviews. Process evaluation reviews described implementation processes, barriers and facilitators to PDMP use and/or implementation. Most (57%) papers described barriers which frequently included usability and data integration. Outcome evaluation papers reported impact of PDMPs on outcomes, which were opioid-focused, and findings were highly variable. Most reviews (67%) were rated as low quality, limiting the conclusions that can be drawn.
Inconsistent methods and outcome measures were used to evaluate PDMPs. No economic evaluations of PDMPs were found. Standardising assessment and reporting of results may improve the quality and confidence in an evidence-base to inform future roll-out and evaluation of PDMPs. Targeting barriers such as system-related challenges and negative end-user perceptions could improve sustained uptake of PDMPs, and potentially facilitate benefits realisation, including mitigating harms of high-risk prescription medicines.
处方药物监测计划(PDMP)用于减轻包括误用、处方购物、过量用药和死亡在内的高危药物的危害。先前的系统评价报告结果不一致。我们进行了一项系统综述,以 1)描述和确定用于评估 PDMP 的方法和结果测量指标,2)总结关于结果和影响 PDMP 成功或实现效益的因素的现有证据。
使用 MEDLINE、EMBASE、Scopus、Cochrane 系统评价数据库和 PROSPERO 来确定关于 PDMP 的系统评价。有 12 篇论文符合纳入标准。提取的数据包括审查目的、研究设计、设置、结果测量指标和主要发现。使用 AMSTAR 2 质量评估工具评估质量。
综述论文分为结果或过程评估综述。过程评估综述描述了 PDMP 使用和/或实施的实施过程、障碍和促进因素。大多数(57%)论文描述了障碍,这些障碍经常包括可用性和数据集成。结果评估论文报告了 PDMP 对结果的影响,这些结果主要集中在阿片类药物上,且结果差异很大。大多数(67%)评论被评为低质量,限制了可以得出的结论。
用于评估 PDMP 的方法和结果测量指标不一致。没有发现 PDMP 的经济评估。标准化评估和报告结果可能会提高证据基础的质量和信心,从而为未来的 PDMP 推出和评估提供信息。针对系统相关挑战和负面终端用户认知等障碍,可能会提高 PDMP 的持续采用率,并有可能促进效益的实现,包括减轻高危处方药的危害。