The University of Southampton
University of Southampton Institutional Repository

Reducing avoidable hospital admission in older people: health status, frailty and predicting risk of ill-defined conditions diagnoses in older people admitted with collapse

Reducing avoidable hospital admission in older people: health status, frailty and predicting risk of ill-defined conditions diagnoses in older people admitted with collapse
Reducing avoidable hospital admission in older people: health status, frailty and predicting risk of ill-defined conditions diagnoses in older people admitted with collapse
Emergency hospital admissions for patients with ill-defined conditions International Classification of Diseases-10 R codes (ICD-10 R codes) are rising. Policy literature has suggested that they are attributable to 'social' problems and could potentially be avoided yet there is no research evidence to support this view. Therefore, this study sought to describe patients with ill-defined conditions and determine clinical and demographic factors predicting assignment of such codes. Patients aged over 70 admitted to a hospital acute admissions unit with collapse or falls were recruited in one hospital. Measures of functional status, frailty, depression, routine blood tests, demographic and service use data were collected. 80 patients were recruited, 35 were discharged with ill-defined conditions codes. Functional limitations were common in patients with ill-defined conditions and 77% had frailty. Blood profiles did not indicate acute medical problems. Deprivation was the only significant independent predictor of assignment of ill-defined conditions codes at discharge (OR 0.64, 95% CI: 0.45-0.93). Whilst our data confirm policy suppositions that patients with ill-defined conditions have functional impairment and frailty, it is the social and organisational factors that are important in determining risk of ill-defined conditions rather than clinical indicators.
avoidable hospital admission, collapse, ill-defined conditions, frailty
0167-4943
172-176
Hunt, Katherine
5eab8123-1157-4d4e-a7d9-5fd817218c6e
Walsh, Bronagh
5818243e-048d-4b4b-88c5-231b0e419427
Voegeli, David
e6f5d112-55b0-40c1-a6ad-8929a2d84a10
Roberts, Helen C.
5ea688b1-ef7a-4173-9da0-26290e18f253
Hunt, Katherine
5eab8123-1157-4d4e-a7d9-5fd817218c6e
Walsh, Bronagh
5818243e-048d-4b4b-88c5-231b0e419427
Voegeli, David
e6f5d112-55b0-40c1-a6ad-8929a2d84a10
Roberts, Helen C.
5ea688b1-ef7a-4173-9da0-26290e18f253

Hunt, Katherine, Walsh, Bronagh and Voegeli, David et al. (2013) Reducing avoidable hospital admission in older people: health status, frailty and predicting risk of ill-defined conditions diagnoses in older people admitted with collapse. Archives of Gerontology and Geriatrics, 57 (2), 172-176. (doi:10.1016/j.archger.2013.03.004). (PMID:23571128)

Record type: Article

Abstract

Emergency hospital admissions for patients with ill-defined conditions International Classification of Diseases-10 R codes (ICD-10 R codes) are rising. Policy literature has suggested that they are attributable to 'social' problems and could potentially be avoided yet there is no research evidence to support this view. Therefore, this study sought to describe patients with ill-defined conditions and determine clinical and demographic factors predicting assignment of such codes. Patients aged over 70 admitted to a hospital acute admissions unit with collapse or falls were recruited in one hospital. Measures of functional status, frailty, depression, routine blood tests, demographic and service use data were collected. 80 patients were recruited, 35 were discharged with ill-defined conditions codes. Functional limitations were common in patients with ill-defined conditions and 77% had frailty. Blood profiles did not indicate acute medical problems. Deprivation was the only significant independent predictor of assignment of ill-defined conditions codes at discharge (OR 0.64, 95% CI: 0.45-0.93). Whilst our data confirm policy suppositions that patients with ill-defined conditions have functional impairment and frailty, it is the social and organisational factors that are important in determining risk of ill-defined conditions rather than clinical indicators.

This record has no associated files available for download.

More information

e-pub ahead of print date: 6 April 2013
Published date: September 2013
Keywords: avoidable hospital admission, collapse, ill-defined conditions, frailty
Organisations: Faculty of Health Sciences

Identifiers

Local EPrints ID: 350932
URI: http://eprints.soton.ac.uk/id/eprint/350932
ISSN: 0167-4943
PURE UUID: 249813d6-c7b1-4bc7-a3d8-5396acc2c89d
ORCID for Katherine Hunt: ORCID iD orcid.org/0000-0002-6173-7319
ORCID for Bronagh Walsh: ORCID iD orcid.org/0000-0003-1008-0545
ORCID for David Voegeli: ORCID iD orcid.org/0000-0003-3457-7177
ORCID for Helen C. Roberts: ORCID iD orcid.org/0000-0002-5291-1880

Catalogue record

Date deposited: 11 Apr 2013 09:07
Last modified: 25 Jun 2024 01:43

Export record

Altmetrics

Contributors

Author: Katherine Hunt ORCID iD
Author: Bronagh Walsh ORCID iD
Author: David Voegeli ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×