Longitudinal evaluation of an electronic audit and feedback system for patient safety in a large tertiary hospital setting.

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Health Informatics Journal Pub Date : 2024-04-01 DOI:10.1177/14604582241262707
James Soresi, Kevin Murray, Theresa Marshall, David B Preen
{"title":"Longitudinal evaluation of an electronic audit and feedback system for patient safety in a large tertiary hospital setting.","authors":"James Soresi, Kevin Murray, Theresa Marshall, David B Preen","doi":"10.1177/14604582241262707","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> This study sought to assess the impact of a novel electronic audit and feedback (e-A&F) system on patient outcomes. <b>Methods:</b> The e-A&F intervention was implemented in a tertiary hospital and involved near real-time feedback via web-based dashboards. We used a segmented regression analysis of interrupted time series. We modelled the pre-post change in outcomes for the (1) announcement of this priority list, and (2) implementation of the e-A&F intervention to have affected patient outcomes. <b>Results:</b> Across the study period there were 222,792 episodes of inpatient care, of which 13,904 episodes were found to contain one or more HACs, a risk of 6.24%. From the point of the first intervention until the end of the study the overall risk of a HAC reduced from 8.57% to 4.12% - a 51.93% reduction. Of this reduction the proportion attributed to each of these interventions was found to be 29.99% for the announcement of the priority list and 21.93% for the implementation of the e-A&F intervention. <b>Discussion:</b> Our findings lend evidence to a mechanism that the announcement of a measurement framework, at a national level, can lead to local strategies, such as e-A&F, that lead to significant continued improvements over time.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 2","pages":"14604582241262707"},"PeriodicalIF":2.2000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Informatics Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/14604582241262707","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: This study sought to assess the impact of a novel electronic audit and feedback (e-A&F) system on patient outcomes. Methods: The e-A&F intervention was implemented in a tertiary hospital and involved near real-time feedback via web-based dashboards. We used a segmented regression analysis of interrupted time series. We modelled the pre-post change in outcomes for the (1) announcement of this priority list, and (2) implementation of the e-A&F intervention to have affected patient outcomes. Results: Across the study period there were 222,792 episodes of inpatient care, of which 13,904 episodes were found to contain one or more HACs, a risk of 6.24%. From the point of the first intervention until the end of the study the overall risk of a HAC reduced from 8.57% to 4.12% - a 51.93% reduction. Of this reduction the proportion attributed to each of these interventions was found to be 29.99% for the announcement of the priority list and 21.93% for the implementation of the e-A&F intervention. Discussion: Our findings lend evidence to a mechanism that the announcement of a measurement framework, at a national level, can lead to local strategies, such as e-A&F, that lead to significant continued improvements over time.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对一家大型三级医院的患者安全电子审计和反馈系统进行纵向评估。
研究目的本研究旨在评估新型电子审核与反馈(e-A&F)系统对患者治疗效果的影响。研究方法e-A&F 干预措施在一家三级医院实施,通过基于网络的仪表板进行近乎实时的反馈。我们对中断的时间序列进行了分段回归分析。我们模拟了(1)公布优先列表和(2)实施 e-A&F 干预措施对患者预后的影响。研究结果在整个研究期间,共有 222,792 次住院治疗,其中 13,904 次被发现包含一个或多个 HAC,风险为 6.24%。从首次干预到研究结束,发生 HAC 的总体风险从 8.57% 降至 4.12% - 降低了 51.93%。在这一降低的比例中,公布优先列表的干预措施占 29.99%,实施 e-A&F 干预措施的干预措施占 21.93%。讨论:我们的研究结果证明了这样一种机制,即在国家层面公布衡量框架,可促成地方战略(如 e-A&F),从而随着时间的推移实现显著的持续改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
期刊最新文献
Empowering healthcare education: A multilingual ontology for medical informatics and digital health (MIMO) integrated to artificial intelligence powered training in smart hospitals. Analysis of health recommendations using longitudinal quality of life data: QoL@TbA - A transformer-based approach. Analysis of total RNA as a potential biomarker of developmental neurotoxicity in silico. Characterizing pituitary adenomas in clinical notes: Corpus construction and its application in LLMs. HealthCheck: A method for evaluating persuasive mobile health applications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1