Evidence map›Paper›PMID 29467130›Full record

ArticleBMJ open2018

How do time trends in inhospital mortality compare? A retrospective study of England and Scotland over 17 years using administrative data.

María José Aragón, Martin Chalkley

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. 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

2 authors.

María José AragónCentre for Health Economics, University of York, York, UK.ORCID 0000-0002-3787-6220
Martin ChalkleyCentre for Health Economics, University of York, York, UK.

Funding

Department of Health 11/1022/19
6 · The paper itself

Abstract

objectivesTo examine the trends in inhospital mortality for England and Scotland over a 17-year period to determine whether and if so to what extent the time trends differ after controlling for differences in the patients treated.

designAnalysis of retrospective administrative hospital data using descriptive aggregate statistics of trends in inhospital mortality and estimates of a logistic regression model of individual patient-level inhospital mortality accounting for patient characteristics, case-mix, and country-specific and year-specific intercepts.

settingSecondary care across all hospitals in England and Scotland from 1997 to 2013. POPULATION: Over 190 million inpatient admissions, either electively or emergency, in England or Scotland from 1997 to 2013. DATA: Hospital Episode Statistics for England and the Scottish Morbidity Record 01 for Scotland.

main outcome measuresSeparately for two admission pathways (elective and emergency), we examine aggregate time trends of the proportion of patients who die in hospital and a binary variable indicating whether an individual patient died in hospital or survived, and how that indicator is influenced by the patient's characteristics, the year and the country (England or Scotland) in which they were admitted.

resultsInhospital mortality has declined in both countries over the period studied, for both elective and emergency admissions, but has declined more in England than Scotland. The difference in trend reduction is greater for elective admissions. These differences persist after controlling for patient characteristics and case-mix.

conclusionsComparing data at country level suggests questions about the roles performed by or functioning of their healthcare systems. We found substantial differences between Scotland and England in regard to the trend reductions in inhospital mortality. Hospital resources are therefore being deployed increasingly differently over time in these two countries for reasons that have yet to be explained.

Indexed as

AdultAgedElective Surgical ProceduresEmergency Service, HospitalEnglandFemaleHospital MortalityHumansLogistic ModelsMaleMiddle AgedPatient AdmissionRetrospective StudiesScotlandYoung Adulthealth economicsquality in health care

Identifiers

PMID29467130
PMCPMC5855481

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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.