Evidence map›Paper›PMID 30297377›Full record

ArticleBMJ quality & safety2018

National hospital mortality surveillance system: a descriptive analysis.

Elizabeth Cecil, Samantha Wilkinson, Alex Bottle, Aneez Esmail, Charles Vincent, Paul P Aylin

Abstract read
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Article in BMJ quality & safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Elizabeth CecilPrimary Care and Public Health, Imperial College London, London, UK e.cecil@imperial.ac.uk.ORCID 0000-0002-5281-6656
Samantha WilkinsonDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Alex BottlePrimary Care and Public Health, Imperial College London, London, UK.ORCID 0000-0001-9978-2011
Aneez EsmailHealth Services Research and Primary Care, University of Manchester, Manchester, UK.
Charles VincentExperimental Psychology, University of Oxford, Oxford, UK.
Paul P AylinPrimary Care and Public Health, Imperial College London, London, UK.

Funding

Department of Health 12/178/22
6 · The paper itself

Abstract

objectiveTo provide a description of the Imperial College Mortality Surveillance System and subsequent investigations by the Care Quality Commission (CQC) in National Health Service (NHS) hospitals receiving mortality alerts.

backgroundThe mortality surveillance system has generated monthly mortality alerts since 2007, on 122 individual diagnosis and surgical procedure groups, using routinely collected hospital administrative data for all English acute NHS hospital trusts. The CQC, the English national regulator, is notified of each alert. This study describes the findings of CQC investigations of alerting trusts.

methodsWe carried out (1) a descriptive analysis of alerts (2007-2016) and (2) an audit of CQC investigations in a subset of alerts (2011-2013).

resultsBetween April 2007 and October 2016, 860 alerts were generated and 76% (654 alerts) were sent to trusts. Alert volumes varied over time (range: 40-101). Septicaemia (except in labour) was the most commonly alerting group (11.5% alerts sent). We reviewed CQC communications in a subset of 204 alerts from 96 trusts. The CQC investigated 75% (154/204) of alerts. In 90% of these pursued alerts, trusts returned evidence of local case note reviews (140/154). These reviews found areas of care that could be improved in 69% (106/154) of alerts. In 25% (38/154) trusts considered that identified failings in care could have impacted on patient outcomes. The CQC investigations resulted in full trust action plans in 77% (118/154) of all pursued alerts.

conclusionThe mortality surveillance system has generated a large number of alerts since 2007. Quality of care problems were found in 69% of alerts with CQC investigations, and one in four trusts reported that failings in care may have an impact on patient outcomes. Identifying whether mortality alerts are the most efficient means to highlight areas of substandard care will require further investigation.

Indexed as

Cohort StudiesEnglandHealth Care SurveysHospitalizationHospital MortalityHumansQuality of Health CareRetrospective StudiesState Medicinehospital mortalityquality of care

Identifiers

PMID30297377
PMCPMC6288692

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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.