Upstreamist leaders: how risk factors for unscheduled return visits (URV) to the emergency department can inform integrated healthcare.

IF 1.7 Q3 HEALTH POLICY & SERVICES
Martha Zuluaga Quintero, Buddhike Sri Harsha Indrasena, Lisa Fox, Prakash Subedi, Jill Aylott
{"title":"Upstreamist leaders: how risk factors for unscheduled return visits (URV) to the emergency department can inform integrated healthcare.","authors":"Martha Zuluaga Quintero,&nbsp;Buddhike Sri Harsha Indrasena,&nbsp;Lisa Fox,&nbsp;Prakash Subedi,&nbsp;Jill Aylott","doi":"10.1108/LHS-06-2022-0069","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This paper aims to report on research undertaken in an National Health Service (NHS) emergency department in the north of England, UK, to identify which patients, with which clinical conditions are returning to the emergency department with an unscheduled return visit (URV) within seven days. This paper analyses the data in relation to the newly introduced Integrated Care Boards (ICBs). The continued upward increase in demand for emergency care services requires a new type of \"upstreamist\", health system leader from the emergency department, who can report on URV data to influence the development of integrated care services to reduce further demand on the emergency department.</p><p><strong>Design/methodology/approach: </strong>Patients were identified through the emergency department symphony data base and included patients with at least one return visit to emergency department (ED) within seven days. A sample of 1,000 index visits between 1 January 2019-31 October 2019 was chosen by simple random sampling technique through Excel. Out of 1,000, only 761 entries had complete data in all variables. A statistical analysis was undertaken using Poisson regression using NCSS statistical software. A review of the literature on integrated health care and its relationship with health systems leadership was undertaken to conceptualise a new type of \"upstreamist\" system leadership to advance the integration of health care.</p><p><strong>Findings: </strong>Out of all 83 variables regressed with statistical analysis, only 12 variables were statistically significant on multi-variable regression. The most statistically important factor were patients presenting with gynaecological disorders, whose relative rate ratio (RR) for early-URV was 43% holding the other variables constant. Eye problems were also statistically highly significant (RR = 41%) however, clinically both accounted for just 1% and 2% of the URV, respectively. The URV data combined with \"upstreamist\" system leadership from the ED is required as a critical mechanism to identify gaps and inform a rationale for integrated care models to lessen further demand on emergency services in the ED.</p><p><strong>Research limitations/implications: </strong>At a time of significant pressure for emergency departments, there needs to be a move towards more collaborative health system leadership with support from statistical analyses of the URV rate, which will continue to provide critical information to influence the development of integrated health and care services. This study identifies areas for further research, particularly for mixed methods studies to ascertain why patients with specific complaints return to the emergency department and if alternative pathways could be developed. The success of the Esther model in Sweden gives hope that patient-centred service development could create meaningful integrated health and care services.</p><p><strong>Practical implications: </strong>This research was a large-scale quantitative study drawing upon data from one hospital in the UK to identify risk factors for URV. This quality metric can generate important data to inform the development of integrated health and care services. Further research is required to review URV data for the whole of the NHS and with the new Integrated Health and Care Boards, there is a new impetus to push for this metric to provide robust data to prioritise the need to develop integrated services where there are gaps.</p><p><strong>Originality/value: </strong>To the best of the authors' knowledge, this is the first large-scale study of its kind to generate whole hospital data on risk factors for URVs to the emergency department. The URV is an important global quality metric and will continue to generate important data on those patients with specific complaints who return back to the emergency department. This is a critical time for the NHS and at the same time an important opportunity to develop \"Esther\" patient-centred approaches in the design of integrated health and care services.</p>","PeriodicalId":46165,"journal":{"name":"Leadership in Health Services","volume":"ahead-of-print ahead-of-print","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leadership in Health Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/LHS-06-2022-0069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: This paper aims to report on research undertaken in an National Health Service (NHS) emergency department in the north of England, UK, to identify which patients, with which clinical conditions are returning to the emergency department with an unscheduled return visit (URV) within seven days. This paper analyses the data in relation to the newly introduced Integrated Care Boards (ICBs). The continued upward increase in demand for emergency care services requires a new type of "upstreamist", health system leader from the emergency department, who can report on URV data to influence the development of integrated care services to reduce further demand on the emergency department.

Design/methodology/approach: Patients were identified through the emergency department symphony data base and included patients with at least one return visit to emergency department (ED) within seven days. A sample of 1,000 index visits between 1 January 2019-31 October 2019 was chosen by simple random sampling technique through Excel. Out of 1,000, only 761 entries had complete data in all variables. A statistical analysis was undertaken using Poisson regression using NCSS statistical software. A review of the literature on integrated health care and its relationship with health systems leadership was undertaken to conceptualise a new type of "upstreamist" system leadership to advance the integration of health care.

Findings: Out of all 83 variables regressed with statistical analysis, only 12 variables were statistically significant on multi-variable regression. The most statistically important factor were patients presenting with gynaecological disorders, whose relative rate ratio (RR) for early-URV was 43% holding the other variables constant. Eye problems were also statistically highly significant (RR = 41%) however, clinically both accounted for just 1% and 2% of the URV, respectively. The URV data combined with "upstreamist" system leadership from the ED is required as a critical mechanism to identify gaps and inform a rationale for integrated care models to lessen further demand on emergency services in the ED.

Research limitations/implications: At a time of significant pressure for emergency departments, there needs to be a move towards more collaborative health system leadership with support from statistical analyses of the URV rate, which will continue to provide critical information to influence the development of integrated health and care services. This study identifies areas for further research, particularly for mixed methods studies to ascertain why patients with specific complaints return to the emergency department and if alternative pathways could be developed. The success of the Esther model in Sweden gives hope that patient-centred service development could create meaningful integrated health and care services.

Practical implications: This research was a large-scale quantitative study drawing upon data from one hospital in the UK to identify risk factors for URV. This quality metric can generate important data to inform the development of integrated health and care services. Further research is required to review URV data for the whole of the NHS and with the new Integrated Health and Care Boards, there is a new impetus to push for this metric to provide robust data to prioritise the need to develop integrated services where there are gaps.

Originality/value: To the best of the authors' knowledge, this is the first large-scale study of its kind to generate whole hospital data on risk factors for URVs to the emergency department. The URV is an important global quality metric and will continue to generate important data on those patients with specific complaints who return back to the emergency department. This is a critical time for the NHS and at the same time an important opportunity to develop "Esther" patient-centred approaches in the design of integrated health and care services.

上游领导者:急诊部门计划外回访(URV)的风险因素如何为综合医疗保健提供信息。
目的:本文旨在报告在英国英格兰北部的国家卫生服务(NHS)急诊科进行的研究,以确定哪些患者,哪些临床条件在7天内以计划外回访(URV)返回急诊科。本文分析了有关新推出的综合护理板(ICBs)的数据。急诊护理服务需求的持续上升需要一种新型的“上游主义者”,即来自急诊科的卫生系统领导者,他们可以报告URV数据,以影响综合护理服务的发展,以减少对急诊科的进一步需求。设计/方法/方法:通过急诊科交响数据库确定患者,包括在7天内至少有一次急诊科(ED)回访的患者。以2019年1月1日至2019年10月31日期间的1000次索引访问为样本,通过Excel进行简单随机抽样。在1000个条目中,只有761个条目在所有变量中都有完整的数据。采用NCSS统计软件进行泊松回归统计分析。对综合卫生保健及其与卫生系统领导关系的文献进行了审查,以概念化一种新型的“上游主义”系统领导,以推进卫生保健的整合。结果:在83个变量中,只有12个变量在多变量回归中具有统计学意义。统计学上最重要的因素是出现妇科疾病的患者,在其他变量不变的情况下,早期urv的相对发生率比(RR)为43%。眼部问题在统计上也非常显著(RR = 41%),然而,临床上两者分别仅占URV的1%和2%。需要URV数据与急诊科的“上游”系统领导相结合,作为识别差距和告知综合护理模式的基本原理的关键机制,以减少急诊科对急诊服务的进一步需求。在急诊科面临巨大压力的时候,需要在URV率统计分析的支持下,朝着更加协作的卫生系统领导方向迈进,这将继续提供关键信息,影响综合卫生和保健服务的发展。本研究确定了进一步研究的领域,特别是混合方法研究,以确定为什么有特定投诉的患者会回到急诊科,以及是否可以开发替代途径。以斯帖模式在瑞典的成功带来了希望,即以病人为中心的服务发展可以创造有意义的综合保健服务。实际意义:这项研究是一项大规模的定量研究,利用英国一家医院的数据来确定URV的危险因素。这一质量指标可产生重要数据,为综合卫生保健服务的发展提供信息。需要进一步的研究来审查整个国民保健制度的URV数据,并且有了新的综合保健和保健委员会,就有了新的动力来推动这一指标,以提供可靠的数据,以便优先考虑在存在差距的地方发展综合服务的需要。原创性/价值:据作者所知,这是第一次大规模的此类研究,以产生整个医院的风险因素的urv到急诊科的数据。URV是一项重要的全球质量指标,并将继续产生关于那些有特定投诉的患者返回急诊室的重要数据。这是国民保健制度的关键时刻,同时也是在设计综合保健服务时发展以病人为中心的"以斯帖"方法的重要机会。
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
Leadership in Health Services
Leadership in Health Services HEALTH POLICY & SERVICES-
CiteScore
2.90
自引率
17.60%
发文量
51
×
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