Key result
Electronic reason to reside models fail to accurately predict hospital discharge within 24 hours.
Why the study?
NHS England advocates reason to reside criteria to support discharge planning, but it lacks an interoperable standardised data model and its performance has not been validated.
Does an electronic 'reason to reside' (eR2R) criteria using a standardised data model accurately predict hospital discharge within 24 hours compared to standard reporting?
Cohort
Yes
Does an electronic 'reason to reside' (eR2R) criteria using a standardised data model accurately predict hospital discharge within 24 hours compared to standard reporting?
The NHS England 'reason to reside' criteria show high variability and poor performance in predicting hospital discharge within 24 hours, limiting their utility in discharge planning.
Answers are grounded in this paper and cite their sources.
eR2R criteria should not guide discharge planning; leaves open whether refined electronic models improve 24-hour prediction in prospective cohorts.
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.
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Sapey et al. (2022) conducted a cohort in Acute hospital admission. Electronic 'reason to reside' (eR2R) criteria was evaluated on Variability in R2R-related metrics and performance of eR2R in predicting discharge within 24 hours (J-statistic 0.09-0.12, p=<0.0001). An electronic 'reason to reside' (eR2R) model demonstrated poor performance in predicting hospital discharge within 24 hours (J-statistic 0.09-0.12) and was unable to meaningfully contribute to discharge planning.
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