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

Objectives NHS 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 ha...

Full description

Saved in:
Bibliographic Details
Main Authors: Elizabeth Sapey, Simon Ball, David McNulty, Felicity Evison, Suzy Gallier, Katherine Reeves
Format: Article
Language:English
Published: BMJ Publishing Group 2022-12-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/12/e065862.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1823857095007535104
author Elizabeth Sapey
Simon Ball
David McNulty
Felicity Evison
Suzy Gallier
Katherine Reeves
author_facet Elizabeth Sapey
Simon Ball
David McNulty
Felicity Evison
Suzy Gallier
Katherine Reeves
author_sort Elizabeth Sapey
collection DOAJ
description Objectives NHS 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.Design Retrospective observational cohort study using routinely collected health data.Setting 122 NHS Trusts in England for national reporting and an acute hospital in England for local reporting.Participants 6 602 706 patient-days were analysed using 3-month national data and 1 039 592 patient-days, using 3-year single centre data.Main outcome measures Variability in R2R-related metrics reported to NHSE. Performance of eR2R in predicting discharge within 24 hours.Results There 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%).Conclusions Reported 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.
format Article
id doaj-art-d87047b58f1643949dd5f209d20a1e77
institution Kabale University
issn 2044-6055
language English
publishDate 2022-12-01
publisher BMJ Publishing Group
record_format Article
series BMJ Open
spelling doaj-art-d87047b58f1643949dd5f209d20a1e772025-02-12T00:45:11ZengBMJ Publishing GroupBMJ Open2044-60552022-12-01121210.1136/bmjopen-2022-065862Variability and performance of NHS England’s ‘reason to reside’ criteria in predicting hospital discharge in acute hospitals in England: a retrospective, observational cohort studyElizabeth Sapey0Simon Ball1David McNulty2Felicity Evison3Suzy Gallier4Katherine Reeves53 Society for Acute Medicine, Eastleigh, UK2 Health Data Research UK Midlands, Birmingham, United KingdomDepartment of Research Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UKDepartment of Research Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK1 Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, West Midlands, UKDepartment of Research Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UKObjectives NHS 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.Design Retrospective observational cohort study using routinely collected health data.Setting 122 NHS Trusts in England for national reporting and an acute hospital in England for local reporting.Participants 6 602 706 patient-days were analysed using 3-month national data and 1 039 592 patient-days, using 3-year single centre data.Main outcome measures Variability in R2R-related metrics reported to NHSE. Performance of eR2R in predicting discharge within 24 hours.Results There 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%).Conclusions Reported 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.https://bmjopen.bmj.com/content/12/12/e065862.full
spellingShingle Elizabeth Sapey
Simon Ball
David McNulty
Felicity Evison
Suzy Gallier
Katherine Reeves
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
BMJ Open
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
url https://bmjopen.bmj.com/content/12/12/e065862.full
work_keys_str_mv AT elizabethsapey variabilityandperformanceofnhsenglandsreasontoresidecriteriainpredictinghospitaldischargeinacutehospitalsinenglandaretrospectiveobservationalcohortstudy
AT simonball variabilityandperformanceofnhsenglandsreasontoresidecriteriainpredictinghospitaldischargeinacutehospitalsinenglandaretrospectiveobservationalcohortstudy
AT davidmcnulty variabilityandperformanceofnhsenglandsreasontoresidecriteriainpredictinghospitaldischargeinacutehospitalsinenglandaretrospectiveobservationalcohortstudy
AT felicityevison variabilityandperformanceofnhsenglandsreasontoresidecriteriainpredictinghospitaldischargeinacutehospitalsinenglandaretrospectiveobservationalcohortstudy
AT suzygallier variabilityandperformanceofnhsenglandsreasontoresidecriteriainpredictinghospitaldischargeinacutehospitalsinenglandaretrospectiveobservationalcohortstudy
AT katherinereeves variabilityandperformanceofnhsenglandsreasontoresidecriteriainpredictinghospitaldischargeinacutehospitalsinenglandaretrospectiveobservationalcohortstudy