Determining factors influencing hospital stay for individuals admitted with diabetes-related ketoacidosis - findings from DEKODE length of stay quality improvement project.

IF 3.6 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Ankita Gupta, Benedict Brazier, Lakshmi Rengarajan, Parth Narendran, Punith Kempegowda
{"title":"Determining factors influencing hospital stay for individuals admitted with diabetes-related ketoacidosis - findings from DEKODE length of stay quality improvement project.","authors":"Ankita Gupta, Benedict Brazier, Lakshmi Rengarajan, Parth Narendran, Punith Kempegowda","doi":"10.1016/j.clinme.2024.100255","DOIUrl":null,"url":null,"abstract":"<p><p>There are significant variations in discharge post-diabetes-related ketoacidosis (DKA) hospitalisation, yet there is a paucity of research to understand or minimise the reasons. This quality improvement project (QIP) aimed to identify reasons for post-DKA discharge delays and assess intervention efficacy. Utilising the Digital Evaluation of Ketosis and Other Diabetes-related Emergencies (DEKODE) model, data from 177 DKA episodes from January 2021 to September 2023 across three hospitals were analysed. Factors affecting discharge were investigated through a plan, do, study, act (PDSA) methodology. While interventions focused on optimising data collection and refining discharge guidelines, no significant reduction in DKA duration or length of stay was observed. Findings highlight post-DKA hospitalisation's multifaceted nature and the limited impact of simple interventions. Collaborative efforts and further research are necessary to develop effective strategies for expedited discharge and improved patient care. This study's comprehensive tracking and analysis tool offers valuable insights for future interventions in managing DKA-related hospitalisations.</p>","PeriodicalId":10492,"journal":{"name":"Clinical Medicine","volume":" ","pages":"100255"},"PeriodicalIF":3.6000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564021/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Medicine","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.clinme.2024.100255","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

There are significant variations in discharge post-diabetes-related ketoacidosis (DKA) hospitalisation, yet there is a paucity of research to understand or minimise the reasons. This quality improvement project (QIP) aimed to identify reasons for post-DKA discharge delays and assess intervention efficacy. Utilising the Digital Evaluation of Ketosis and Other Diabetes-related Emergencies (DEKODE) model, data from 177 DKA episodes from January 2021 to September 2023 across three hospitals were analysed. Factors affecting discharge were investigated through a plan, do, study, act (PDSA) methodology. While interventions focused on optimising data collection and refining discharge guidelines, no significant reduction in DKA duration or length of stay was observed. Findings highlight post-DKA hospitalisation's multifaceted nature and the limited impact of simple interventions. Collaborative efforts and further research are necessary to develop effective strategies for expedited discharge and improved patient care. This study's comprehensive tracking and analysis tool offers valuable insights for future interventions in managing DKA-related hospitalisations.

确定影响 DKA 患者住院时间的因素 - DEKODE 住院时间 QIP 的研究结果。
糖尿病相关酮症酸中毒(DKA)住院后的出院时间差异很大,但了解或尽量减少其原因的研究却很少。本质量改进项目(QIP)旨在找出 DKA 出院后延迟的原因,并评估干预效果。利用酮病和其他糖尿病相关急症数字评估(DEKODE)模型,对三家医院 2021 年 1 月至 2023 年 7 月期间 177 例 DKA 病例的数据进行了分析。通过 "计划-实施-研究-行动"(PDSA)方法调查了影响出院的因素。虽然干预措施侧重于优化数据收集和完善出院指南,但并未观察到 DKA 持续时间或住院时间的显著缩短。研究结果凸显了 DKA 后住院治疗的多面性,以及简单干预措施的有限影响。有必要开展合作和进一步研究,以制定加快出院和改善患者护理的有效策略。这项研究的综合跟踪和分析工具为未来管理 DKA 相关住院的干预措施提供了宝贵的见解。
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 求助全文
来源期刊
Clinical Medicine
Clinical Medicine 医学-医学:内科
CiteScore
7.20
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Clinical Medicine is aimed at practising physicians in the UK and overseas and has relevance to all those managing or working within the healthcare sector. Available in print and online, the journal seeks to encourage high standards of medical care by promoting good clinical practice through original research, review and comment. The journal also includes a dedicated continuing medical education (CME) section in each issue. This presents the latest advances in a chosen specialty, with self-assessment questions at the end of each topic enabling CPD accreditation to be acquired. ISSN: 1470-2118 E-ISSN: 1473-4893 Frequency: 6 issues per year
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信