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
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
September 2013
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), .
(doi:10.1016/j.archger.2013.03.004).
(PMID:23571128)
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.
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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
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Local EPrints ID: 350932
URI: http://eprints.soton.ac.uk/id/eprint/350932
ISSN: 0167-4943
PURE UUID: 249813d6-c7b1-4bc7-a3d8-5396acc2c89d
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Date deposited: 11 Apr 2013 09:07
Last modified: 15 Mar 2024 03:36
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Author:
David Voegeli
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