Evidence map›Paper›PMID 24668396›Full record

ArticleEmergency medicine journal : EMJ2015

Classifying emergency 30-day readmissions in England using routine hospital data 2004-2010: what is the scope for reduction?

Ian Blunt, Martin Bardsley, Amy Grove, Aileen Clarke

Registry-linked trialAbstract read
In one paragraph

Article in Emergency medicine journal : EMJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02621723 (Capturing Readmission Internationally to Prevent Readmission by Safer@Home), which is not on this map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02621723 unknown statusnot on this mapstarted 2016, after this paper: background citation

Capturing Readmission Internationally to Prevent Readmission by Safer@Home

Typeobservational_patient_registrySponsorAmsterdam UMC, location VUmcRan2016 to 2018Enrolled1,000ConditionsHospital Readmission
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. The Copenhagen Triage Algorithm: a randomized controlled trial.Scandinavian journal of trauma, resuscitation and emergency medicine · 2016
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  13. A qualitative formative evaluation of a patient facing intervention to improve care transitions for older people moving from hospital to home.Health expectations : an international journal of public participation in health care and health policy · 2022
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  16. Observational
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  19. Rates, causes, and types of readmissions after total joint arthroplasty.Turkish journal of physical medicine and rehabilitation · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ian BluntThe Nuffield Trust, London, UK.
Martin BardsleyThe Nuffield Trust, London, UK.
Amy GroveDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
Aileen ClarkeDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.

Funding

Department of Health WMCLAHRC-2014-1
6 · The paper itself

Abstract

backgroundMany health systems across the globe have introduced arrangements to deny payment for patients readmitted to hospital as an emergency. The purpose of this study was to develop an exploratory categorisation based on likely causes of readmission, and then to assess the prevalence of these different types.

methodsRetrospective analysis of 82 million routinely collected National Health Service hospital records in England (2004-2010) was undertaken using anonymised linkage of records at person-level. Numbers of 30-day readmissions were calculated. Exploratory categorisation of readmissions was applied using simple rules relating to International Classification of Diseases (ICD) diagnostic codes for both admission and readmission.

resultsThere were 5 804 472 emergency 30-day readmissions over a 6-year period, equivalent to 7.0% of hospital discharges. Readmissions were grouped into hierarchically exclusive categories: potentially preventable readmission (1 739 519 (30.0% of readmissions)); anticipated but unpredictable readmission (patients with chronic disease or likely to need long-term care; 1 141 987 (19.7%)); preference-related readmission (53 718 (0.9%)); artefact of data collection (16 062 (0.3%)); readmission as a result of accident, coincidence or related to a different body system (1 101 818 (19.0%)); broadly related readmission (readmission related to the same body system (1 751 368 (30.2%)).

conclusionsIn this exploratory categorisation, a large minority of emergency readmissions (eg, those that are potentially preventable or due to data artefacts) fell into groups potentially amenable to immediate reduction. For other categories, a hospital's ability to reduce emergency readmission is less clear. Reduction strategies and payment incentives must be carefully tailored to achieve stated aims.

Indexed as

EnglandFemaleHumansInternational Classification of DiseasesMalePatient ReadmissionQuality of Health CareRetrospective StudiesRisk FactorsTime Factors

Identifiers

PMID24668396
PMCPMC4283684

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.