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上游干预型领导者:急诊非计划性返诊(URV)的风险因素如何为整合型医疗保健提供信息。

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

机构信息

Department of Emergency Medicine, Doncaste and Bassetlaw Teaching Hospitals NHS Foundation Trust, Doncaster, UK.

Institute for Quality Improvement, World Academy of Medical Leadership, Sheffield, UK and Department of General Surgery, Provincial General Hospital, Badulla, Sri Lanka.

出版信息

Leadersh Health Serv (Bradf Engl). 2022 Dec 29;ahead-of-print(ahead-of-print). doi: 10.1108/LHS-06-2022-0069.

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.

摘要

目的

本文旨在报告在英国北部的国民保健服务(NHS)急诊部进行的研究,以确定哪些患者,哪些临床状况在七天内以非计划性复诊(URV)的形式返回急诊部。本文分析了与新引入的综合护理委员会(ICB)相关的数据。对急诊护理服务的需求持续上升,需要一种新类型的“上游主义者”,即来自急诊部的卫生系统领导者,他可以报告 URV 数据,以影响综合护理服务的发展,从而减少对急诊部的进一步需求。

设计/方法/方法:通过急诊部交响乐数据库识别患者,包括在七天内至少有一次复诊的患者。通过 Excel 中的简单随机抽样技术,选择了 2019 年 1 月 1 日至 10 月 31 日之间的 1000 个索引就诊作为样本。在 1000 个样本中,只有 761 个样本在所有变量中都有完整的数据。使用 NCSS 统计软件进行了 Poisson 回归分析。对综合医疗保健及其与卫生系统领导力的关系进行了文献回顾,以概念化一种新的“上游主义者”系统领导力,以推进医疗保健的整合。

发现

在进行统计分析的 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。最具统计学意义的因素是出现妇科疾病的患者,其早期 URV 的相对危险比(RR)为 43%,其他变量保持不变。眼部问题也具有统计学上的高度显著性(RR=41%),但在临床上,两者分别仅占 URV 的 1%和 2%。URV 数据与 ED 的“上游主义者”系统领导力相结合,是识别差距并为综合护理模型提供合理依据的关键机制,以减轻 ED 急诊服务的进一步需求。

研究局限性/影响:在急诊部门面临巨大压力的情况下,需要向更具协作性的卫生系统领导力转变,并支持 URV 率的统计分析,这将继续为影响综合卫生和保健服务的发展提供关键信息。本研究确定了进一步研究的领域,特别是对于混合方法研究,以确定为什么有特定投诉的患者返回急诊部,以及是否可以开发替代途径。瑞典 Esther 模式的成功给人以希望,即患者为中心的服务发展可以创建有意义的综合卫生和保健服务。

实际影响

这项研究是一项大规模的定量研究,利用了英国一家医院的数据,以确定 URV 的风险因素。这项质量指标可以生成重要数据,为综合卫生和保健服务的发展提供信息。需要进一步研究 NHS 的整个 URV 数据,并随着新的综合卫生和保健委员会的成立,有新的动力推动这一指标的发展,以提供可靠的数据,优先发展有差距的综合服务。

原创性/价值:据作者所知,这是第一项大规模研究,旨在生成整个医院的数据,以确定 URV 到急诊部的风险因素。URV 是一个重要的全球质量指标,将继续为那些有特定投诉并返回急诊部的患者提供重要数据。这对 NHS 来说是一个关键时期,同时也是一个重要的机会,可以在综合卫生和保健服务的设计中采用“Esther”以患者为中心的方法。

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