Variability and performance of NHS England’s ‘reason to reside’ criteria in predicting hospital discharge in acute hospitals in England: a retrospective, observational cohort study

Author:

Sapey ElizabethORCID,Gallier Suzy,Evison FelicityORCID,McNulty David,Reeves Katherine,Ball SimonORCID

Abstract

ObjectivesNHS England (NHSE) advocates ‘reason to reside’ (R2R) criteria to support discharge planning. The proportion of patients without R2R and their rate of discharge are reported daily by acute hospitals in England. R2R has no interoperable standardised data model (SDM), and its performance has not been validated. We aimed to understand the degree of intercentre and intracentre variation in R2R-related metrics reported to NHSE, define an SDM implemented within a single centre Electronic Health Record to generate an electronic R2R (eR2R) and evaluate its performance in predicting subsequent discharge.DesignRetrospective observational cohort study using routinely collected health data.Setting122 NHS Trusts in England for national reporting and an acute hospital in England for local reporting.Participants6 602 706 patient-days were analysed using 3-month national data and 1 039 592 patient-days, using 3-year single centre data.Main outcome measuresVariability in R2R-related metrics reported to NHSE. Performance of eR2R in predicting discharge within 24 hours.ResultsThere were high levels of intracentre and intercentre variability in R2R-related metrics (p<0.0001) but not in eR2R. Informedness of eR2R for discharge within 24 hours was low (J-statistic 0.09–0.12 across three consecutive years). In those remaining in hospital without eR2R, 61.2% met eR2R criteria on subsequent days (76% within 24 hours), most commonly due to increased NEWS2 (21.9%) or intravenous therapy administration (32.8%).ConclusionsReported R2R metrics are highly variable between and within acute Trusts in England. Although case-mix or community care provision may account for some variability, the absence of a SDM prevents standardised reporting. Following the development of a SDM in one acute Trust, the variability reduced. However, the performance of eR2R was poor, prone to change even when negative and unable to meaningfully contribute to discharge planning.

Funder

HDR-UK

Publisher

BMJ

Subject

General Medicine

Reference21 articles.

1. UK Government . Hospital discharge and community support: policy and operating model, 2021. Available: https://assetspublishingservicegovuk/government/uploads/system/uploads/attachment_data/file/1026672/hospital-discharge-and-community-support-policy-and-operating-model-oct-2021pdf [Accessed 13 Feb 2022].

2. National Audit Office . Discharging older patients from hospital. Report by the Comptroller and auditor General, 2016. Available: https://wwwnaoorguk/wp-content/uploads/2015/12/Discharging-older-patients-from-hospitalpdf [Accessed 12 Feb 2022].

3. Change in skeletal muscle associated with unplanned hospital admissions in adult patients: a systematic review and meta-analysis;Hartley;PLoS One,2019

4. Hospital-associated complications of older people: a proposed multicomponent outcome for acute care;Mudge;J Am Geriatr Soc,2019

5. Evaluation of diagnostic tests when there is no gold standard. A review of methods

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3