PMID- 24598084 OWN - NLM STAT- MEDLINE DCOM- 20160504 LR - 20220129 IS - 1468-2834 (Electronic) IS - 0002-0729 (Print) IS - 0002-0729 (Linking) VI - 43 IP - 5 DP - 2014 Sep TI - Understanding NHS hospital admissions in England: linkage of Hospital Episode Statistics to the Hertfordshire Cohort Study. PG - 653-60 LID - 10.1093/ageing/afu020 [doi] AB - BACKGROUND: concern 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. METHODS: 2,997 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. RESULTS: the 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. CI - (c) The Author 2013. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com. FAU - Simmonds, Shirley J AU - Simmonds SJ AD - MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK. FAU - Syddall, Holly E AU - Syddall HE AD - MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK. FAU - Walsh, Bronagh AU - Walsh B AD - Faculty of Health Sciences, University of Southampton, Southampton SO17 1BJ, UK. FAU - Evandrou, Maria AU - Evandrou M AD - Centre for Research on Ageing, University of Southampton, Southampton SO17 1BJ, UK. FAU - Dennison, Elaine M AU - Dennison EM AD - MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK. FAU - Cooper, Cyrus AU - Cooper C AD - MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK. FAU - Aihie Sayer, Avan AU - Aihie Sayer A AD - MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO16 6YD, UK Academic Geriatric Medicine, University of Southampton, Southampton SO16 6YD, UK. LA - eng GR - MC_UP_A620_1015/MRC_/Medical Research Council/United Kingdom GR - MC_U147585819/MRC_/Medical Research Council/United Kingdom GR - MC_UU_12011/2/MRC_/Medical Research Council/United Kingdom GR - MC_UU_12011/1/MRC_/Medical Research Council/United Kingdom GR - MC_UP_A620_1014/MRC_/Medical Research Council/United Kingdom PT - Journal Article DEP - 20140304 PL - England TA - Age Ageing JT - Age and ageing JID - 0375655 SB - IM MH - Aged MH - Databases, Factual MH - Emergency Medical Services/trends MH - England/epidemiology MH - Female MH - Health Care Rationing/trends MH - Health Resources/statistics & numerical data/*trends MH - Health Services Needs and Demand/trends MH - Health Services Research MH - Humans MH - Length of Stay/trends MH - Male MH - *Medical Record Linkage MH - Middle Aged MH - Mortality/trends MH - Patient Admission/*trends MH - State Medicine/*trends MH - Time Factors PMC - PMC4151283 MID - EMS57476 OID - NLM: EMS57476 OTO - NOTNLM OT - Hospital Episode Statistics OT - data linkage OT - healthcare burden OT - hospital admissions OT - older people EDAT- 2014/03/07 06:00 MHDA- 2016/05/05 06:00 PMCR- 2015/03/01 CRDT- 2014/03/07 06:00 PHST- 2014/03/07 06:00 [entrez] PHST- 2014/03/07 06:00 [pubmed] PHST- 2016/05/05 06:00 [medline] PHST- 2015/03/01 00:00 [pmc-release] AID - afu020 [pii] AID - 10.1093/ageing/afu020 [doi] PST - ppublish SO - Age Ageing. 2014 Sep;43(5):653-60. doi: 10.1093/ageing/afu020. Epub 2014 Mar 4.