Evidence map›Paper›PMID 24598084›Full record

ArticleAge and ageing2014

Understanding NHS hospital admissions in England: linkage of Hospital Episode Statistics to the Hertfordshire Cohort Study.

Shirley J Simmonds, Holly E Syddall, Bronagh Walsh, Maria Evandrou, Elaine M Dennison, Cyrus Cooper, Avan Aihie Sayer

Abstract read
In one paragraph

Article in Age and ageing, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

7 authors.

Shirley J SimmondsMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK.
Holly E SyddallMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK.
Bronagh WalshFaculty of Health Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Maria EvandrouCentre for Research on Ageing, University of Southampton, Southampton SO17 1BJ, UK.
Elaine M DennisonMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK.
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK.
Avan Aihie SayerMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK Academic Geriatric Medicine, University of Southampton, Southampton SO16 6YD, UK.

Funding

Medical Research Council MC_U147585819Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2
6 · The paper itself

Abstract

backgroundconcern over the sustainability of the National Health Service (NHS) is often focussed on rising numbers of hospital admissions, particularly among older people. Hospital admissions are enumerated routinely by the Hospital Episode Statistics (HES) Service, but published data do not allow individual-level service use to be explored. This study linked information on Hertfordshire Cohort Study (HCS) participants with HES inpatient data, with the objective of describing patterns and predictors of admissions among individuals.

methods2,997 community-dwelling men and women aged 59-73 years completed a baseline HCS assessment between 1998 and 2004; HES and mortality data to 31 March 2010 were linked with the HCS database. This paper describes patterns of hospital use among the cohort at both the admission and individual person level.

resultsthe cohort experienced 8,741 admissions; rates were 391 per 1,000 person-years among men (95% CI: 380, 402) and 327 among women (95% CI: 316, 338), P < 0.0001 for gender difference. A total of 1,187 men (75%) and 981 women (69%) were admitted to hospital at least once; among these, median numbers of admissions were 3 in men (inter-quartile range, (IQR): 1, 6) and 2 in women (IQR: 1, 5). Forty-eight percent of those ever admitted had experienced an emergency admission and 70% had been admitted overnight. DISCUSSION: It is possible to link routinely collected HES data with detailed information from a cohort study. Hospital admission is common among community-dwelling 'young-old' men and women. These linked datasets will facilitate research into lifecourse determinants of hospital admission and inform strategies to manage demand on the NHS.

Indexed as

Medical Record LinkageAgedDatabases, FactualEmergency Medical ServicesEnglandFemaleHealth Care RationingHealth ResourcesHealth Services Needs and DemandHealth Services ResearchHumansLength of StayMaleMiddle AgedMortalityPatient Admissiondata linkagehealthcare burdenhospital admissionsHospital Episode Statisticsolder people

Identifiers

PMID24598084
PMCPMC4151283

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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.