Development of antibiotic metrics for hospitalists via multi‐institutional modified Delphi survey

医学 平衡计分卡 医院医学 德尔菲法 抗菌管理 德尔菲 家庭医学 公制(单位) 抗生素耐药性 抗生素 过程管理 经济 统计 业务 微生物学 操作系统 运营管理 计算机科学 数学 生物
作者
Allison Bond,Sandra Oreper,Priya A. Prasad,Emily Abdoler,Sarah B. Doernberg
出处
期刊:Journal of Hospital Medicine [Wiley]
卷期号:19 (8): 680-684
标识
DOI:10.1002/jhm.13377
摘要

Abstract Background Closing the gap between evidence‐supported antibiotic use and real‐world prescribing among clinicians is vital for curbing excessive antibiotic use, which fosters antimicrobial resistance and exposes patients to antimicrobial side effects. Providing prescribing information via scorecard improves clinician adherence to quality metrics. Objective We aimed to delineate actionable, relevant antimicrobial prescribing metrics extractable from the electronic health record in an automated way. Design We used a modified Delphi consensus‐building approach. Settings and Participants Our study entailed two iterations of an electronic survey disseminated to hospital medicine physicians at 10 academic medical centers nationwide. Main Outcomes and Measures Main outcomes comprised consensus metrics describing the quality of antibiotic prescribing to hospital medicine physicians. Results Twenty‐eight participants from 10 United States institutions completed the first survey version containing 38 measures. Sixteen respondents completed the second survey, which contained 37 metrics. Sixteen metrics, which were modified based on qualitative survey feedback, met criteria for inclusion in the final scorecard. Metrics considered most relevant by hospitalists focused on the appropriate de‐escalation of antimicrobial therapy, selection of guideline‐concordant antibiotics, and appropriate duration of treatment for common infectious syndromes. Next steps involve prioritization and implementation of these metrics based on quality gaps at our institution, focus groups exploring impressions of clinicians who receive a scorecard, and analysis of antibiotic prescribing patterns before and after metric implementation. Other institutions may be able to implement metrics from this scorecard based on their own quality gaps to provide hospitalists with automated feedback related to antibiotic prescribing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
谨慎青枫的应助被默默然采纳,获得10
1秒前
希望天下0贩的0的应助被HuBasya采纳,获得10
2秒前
Andrew发布了新的文献求助50
3秒前
春风十里完成签到,获得积分10
3秒前
4秒前
FashionBoy的应助被周易采纳,获得10
4秒前
威武的翠绿完成签到,获得积分10
4秒前
Tonald Yang发布了新的文献求助10
5秒前
WF发布了新的文献求助10
5秒前
mumumumumumu发布了新的文献求助10
6秒前
wuyongxiang发布了新的文献求助10
6秒前
yang完成签到,获得积分10
6秒前
6秒前
赘婿的应助被Orange采纳,获得10
7秒前
8秒前
春风十里发布了新的文献求助10
8秒前
kk发布了新的文献求助10
9秒前
hua完成签到,获得积分10
9秒前
meng发布了新的文献求助10
10秒前
11秒前
kk完成签到,获得积分10
13秒前
KhalilHao完成签到 ,获得积分10
14秒前
老的火龙果的应助被苶凉采纳,获得10
14秒前
15秒前
虚幻雨关注了科研通微信公众号
15秒前
15秒前
zyk发布了新的文献求助10
16秒前
啦啦啦发布了新的文献求助30
16秒前
ww发布了新的文献求助10
20秒前
乐乐的应助被Tonald Yang采纳,获得10
21秒前
zyk完成签到,获得积分10
21秒前
吴彦祖发布了新的文献求助30
22秒前
22秒前
无事完成签到 ,获得积分10
22秒前
GuSiwen完成签到,获得积分10
25秒前
藤藤菜完成签到,获得积分0
25秒前
ding的应助被Li_R采纳,获得10
25秒前
春酒完成签到,获得积分10
25秒前
26秒前
思源的应助被Li_R采纳,获得10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783638
求助须知:如何正确求助?哪些是违规求助? 9322927
关于积分的说明 20392349
捐赠科研通 7372274
什么是DOI,文献DOI怎么找? 3320727
关于科研通互助平台的介绍 2468728
邀请新用户注册赠送积分活动 2336951