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评估处方药监测计划实施的影响:一项范围综述

Evaluating the impact of prescription drug monitoring program implementation: a scoping review.

作者信息

Finley Erin P, Garcia Ashley, Rosen Kristen, McGeary Don, Pugh Mary Jo, Potter Jennifer Sharpe

机构信息

University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, 78229, USA.

South Texas Veterans Healthcare System, 7400 Merton Minter Boulevard, San Antonio, TX, 78229, USA.

出版信息

BMC Health Serv Res. 2017 Jun 20;17(1):420. doi: 10.1186/s12913-017-2354-5.

DOI:10.1186/s12913-017-2354-5
PMID:28633638
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5477729/
Abstract

BACKGROUND

Prescription drug monitoring programs (PDMPs) have been implemented in 49 out of 50 states in an effort to reduce opioid-related misuse, abuse, and mortality, yet the literature evaluating the impact of PDMP implementation remains limited. We conducted a scoping review to: (1) describe available evidence regarding impact of PDMPs in the U.S.; and (2) propose a conceptual model to inform future PDMP implementation and evaluation efforts.

METHODS

Scoping systematic review following Arksey and O'Malley's (2005) methodology. We identified 11 relevant studies based on inclusion criteria using a PubMed database search of English-language studies published 1/1/2000-5/31/16. Data were extracted and thematic analysis conducted to synthesize results.

RESULTS

Extant evidence for the impact of PDMPs as an opioid risk mitigation tool remains mixed. Thematic analysis revealed four domains of opioid-related outcomes frequently examined in original studies evaluating PDMP implementation: (1) opioid prescribing; (2) opioid diversion and supply; (3) opioid misuse; and (4) opioid-related morbidity and mortality. An evaluation framework incorporating these domains is presented that highlights significant gaps in empirical research across each of these domains.

CONCLUSIONS

Evidence for the impact of state-level PDMPs remains mixed. We propose a conceptual model for evaluating PDMP implementation toward the goals of clarifying PDMP mechanisms of impact, identifying characteristics of PDMPs associated with best outcomes, and maximizing the utility of PDMP policy and implementation to reduce opioid-related public health burden.

摘要

背景

美国50个州中有49个实施了处方药监测计划(PDMPs),旨在减少与阿片类药物相关的误用、滥用及死亡率,但评估PDMPs实施效果的文献仍然有限。我们进行了一项范围综述,以:(1)描述有关美国PDMPs影响的现有证据;(2)提出一个概念模型,为未来PDMPs的实施和评估工作提供参考。

方法

遵循Arksey和O'Malley(2005年)的方法进行范围系统综述。我们通过在PubMed数据库中搜索2000年1月1日至2016年5月31日发表的英文研究,根据纳入标准确定了11项相关研究。提取数据并进行主题分析以综合结果。

结果

关于PDMPs作为阿片类药物风险缓解工具的影响,现有证据仍然不一。主题分析揭示了在评估PDMPs实施的原始研究中经常考察的与阿片类药物相关结果的四个领域:(1)阿片类药物处方;(2)阿片类药物转移和供应;(3)阿片类药物误用;(4)与阿片类药物相关的发病率和死亡率。提出了一个纳入这些领域的评估框架,突出了这些领域实证研究中的重大差距。

结论

关于州级PDMPs影响的证据仍然不一。我们提出了一个概念模型,用于评估PDMPs的实施,以实现以下目标:阐明PDMPs的影响机制,确定与最佳结果相关的PDMPs特征,以及最大限度地提高PDMP政策和实施的效用,以减轻与阿片类药物相关的公共卫生负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/5477729/57c7a10e88f7/12913_2017_2354_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/5477729/39632ef6e2b3/12913_2017_2354_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/5477729/57c7a10e88f7/12913_2017_2354_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/5477729/39632ef6e2b3/12913_2017_2354_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/5477729/57c7a10e88f7/12913_2017_2354_Fig2_HTML.jpg

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