G2TT
来源类型Publication
Implementing Electronic Health Record Default Settings to Reduce Opioid Overprescribing: A Pilot Study
Kara Zivin; Jessica O. White; Sandra Chao; Anna L. Christensen; Luke Horner; Dana M. Petersen; Morgan R. Hobbs; Grace Capreol; Kevin A. Halbritter; and Christopher M. Jones
发表日期2019
出版者Pain Medicine, vol. 20, issue 1
出版年2019
语种英语
概述The authors implemented a 15-pill electronic health record default for new Schedule II opioids and assessed opioid quantity before and after implementation using electronic health record data on 6,390 opioid prescriptions from 448 prescribers. ",
摘要

Objective. To pilot test the effectiveness, feasibility, and acceptability of instituting a 15-pill quantity default in the electronic health record for new Schedule II opioid prescriptions.

Design. A mixed-methods pilot study in two health systems, including pre-post analysis of prescribed opioid quantity and focus groups or interviews with prescribers and health system administrators.

Methods. We implemented a 15-pill electronic health record default for new Schedule II opioids and assessed opioid quantity before and after implementation using electronic health record data on 6,390 opioid prescriptions from 448 prescribers. We then analyzed themes from focus groups and interviews with four staff members and six prescribers.

Results. The proportion of opioid prescriptions for 15 pills increased at both sites after adding an electronic health record default, with one reaching statistical significance (from 4.1% to 7.2% at CHC, P= 0.280, and 15.9% to 37.2% at WVU, P< 0.001). The proportion of 15-pill prescriptions increased among high-prescribing departments and among most high- and low-frequency prescribers, except for low-frequency prescribers at CHC. Sites reported limited challenges in instituting the default, although ease of implementation varied by electronic health record vendor. Most prescribers were not aware of the default change and stated that they made prescribing decisions based on patient clinical characteristics rather than defaults.

Conclusions. This pilot provides initial evidence that changing default settings can increase the number of prescriptions at the default level. This low-cost and relatively simple intervention could have an impact on opioid overprescribing. However, default settings should be selected carefully to avoid unintended consequences.

URLhttps://www.mathematica.org/our-publications-and-findings/publications/implementing-electronic-health-record-default-settings-to-reduce-opioid-overprescribing-a-pilot
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/489465
推荐引用方式
GB/T 7714
Kara Zivin,Jessica O. White,Sandra Chao,et al. Implementing Electronic Health Record Default Settings to Reduce Opioid Overprescribing: A Pilot Study. 2019.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Kara Zivin]的文章
[Jessica O. White]的文章
[Sandra Chao]的文章
百度学术
百度学术中相似的文章
[Kara Zivin]的文章
[Jessica O. White]的文章
[Sandra Chao]的文章
必应学术
必应学术中相似的文章
[Kara Zivin]的文章
[Jessica O. White]的文章
[Sandra Chao]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。