Predicting failure to improve during rehabilitation for older patients using routinely collected clinical data

European Geriatric Medicine

Volumn 4, Issue 5, 2013, Pages 324-328

  Tan, S C ^a   Ramage, L ^a,b   McMurdo, M E T ^a   Witham, M D ^a  

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b ROYAL VICTORIA HOSPITAL   (United Kingdom)

Author keywords

Aged; Outcome assessment; Rehabilitation

Indexed keywords

ACCURACY; AGED; ARTICLE; BARTHEL INDEX; CLASSIFICATION; CLINICAL STUDY; COMORBIDITY; DETERIORATION; FEMALE; GENERAL CONDITION IMPROVEMENT; GERIATRIC NUTRITION; GERIATRIC REHABILITATION; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOSPITAL PATIENT; HUMAN; INTERPERSONAL COMMUNICATION; MAJOR CLINICAL STUDY; MALE; MENTAL HEALTH; MORTALITY; PRIORITY JOURNAL; SWALLOWING; VERY ELDERLY;

EID: 84893689773     PISSN: 18787649     EISSN: 18787657     Source Type: Journal    
DOI: 10.1016/j.eurger.2013.06.009     Document Type: Article

References (22)

1. Bachmann S, Finger C, Huss A, Egger M, Stuck AE, Clough-Gorr KM. Inpa- tient rehabilitation specifically designed for geriatric patients: systematic review and meta-analysis of randomised controlled trials. BMJ 2010;340 [c1718].
2. Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. Lancet 2009;374: 1196-208.
3. Campbell SE, Seymour DG, Primrose WR. A systematic literature review of factors affecting outcome in older medical patients admitted to hospital. Age Ageing 2004;33: 110-5.
4. Elphick HL, Mankad K, Madan S, Parker C, Liddle BJ. The determinants of successful in-hospital rehabilitation in people aged 90 years and older. Ger-ontology 2007;53: 116-20.
5. Naughton BJ, Saltzman S, Priore R, Reedy K, Mylotte JM. Using admission characteristics to predict return to the community from a post-acute geriatric evaluation and management unit. J Am Geriatr Soc 1999;47: 1100-4.
6. Miyamoto H, Hagihara A, Nobutomo K. Predicting the discharge destination of rehabilitation patients using a signal detection approach. J Rehabil Med 2008;40: 261-8.
7. Singh I, Gallacher J, Davis K, Johansen A, Eeles E, Hubbard RE. Predictors of adverse outcomes on an acute geriatric rehabilitation ward. Age Ageing 2012; 41: 242-6.
8. Heinemann AW, Linacre JM, Wright BD, Hamilton BB, Granger C. Prediction of rehabilitation outcomes with disability measures. Arch Phys Med Rehabil 1994;75: 133-43.
9. Witham MD, Ramage L, Burns SL, Gillespie ND, Hanslip J, Laidlaw S, et al. Trends in function and postdischarge mortality in a medicine for the elderly rehabilitation center over a 10-year period. Arch Phys Med Rehabil 2011;92: 1288-92.
10. Wade DT, Collin C, The Barthel ADL. Index: a standard measure of physical disability? Int Disabil Stud 1998;10: 64-7.
11. Valderrama-Gama E, Damian J, Guallar E, Rodriguez-Manas L. Previous dis-ability as a predictor of outcome in a geriatric rehabilitation unit. J Gerontol A Biol Sci Med Sci 1998;53:M405-9.
12. Fusco D, Bochicchio GB, Onder G, Barillaro C, Bernabei R, Landi F. Predictors of rehabilitation outcome among frail elderly patients living in the community. J Am Med Dir Assoc 2009;10: 335-41.
13. Luk JK, Chiu PK, Chu LW. Rehabilitation of older Chinese patients with different cognitive functions: how do they differ in outcome? Arch Phys Med Rehabil 2008;89: 1714-9.
14. Heruti RJ, Lusky A, Barell V, Ohry A, Adunsky A. Cognitive status at admission: does it affect the rehabilitation outcome of elderly patients with hip fracture? Arch Phys Med Rehabil 1999;80: 432-6.
15. Agarwal V, McRae MP, Bhardwaj A, Teasell RW. A model to aid in the prediction of discharge location for stroke rehabilitation patients. Arch Phys Med Rehabil 2003;84: 1703-9.
16. Chumney D, Nollinger K, Shesko K, Skop K, Spencer M, Newton RA. Ability of Functional Independence Measure to accurately predict functional outcome of stroke-specific population: systematic review. J Rehabil Res Dev 2010;47: 17-29.
17. Campbell SE, Seymour DG, Primrose WR, Lynch JE, Dunstan E, Espallargues M, et al. A multi-centre European study of factors affecting the discharge destination of older people admitted to hospital: analysis of in-hospital data from the ACMEplus project. Age Ageing 2005;34: 467-75.
18. de Saint-Hubert M, Schoevaerdts D, Cornette P, D'Hoore W, Boland B, Swine C. Predicting functional adverse outcomes in hospitalized older patients: a systematic review of screening tools. J Nutr Health Aging 2010;14: 394-9.
19. Hoogerduijn JG, Schuurmans MJ, Duijnstee MS, de Rooij SE, Grypdonck MF. A systematic review of predictors and screening instruments to identify older hospitalized patients at risk for functional decline. J Clin Nurs 2007; 16: 46-57.
20. Lynch JE, Henderson NR, Ramage L, McMurdo ME, Witham MD. Association between statin medication use and improved outcomes during inpatient rehabilitation in older people. Age Ageing 2012;41: 260-2.
21. El Solh AA, Saltzman SK, Ramadan FH, Naughton BJ. Validity of an artificial neural network in predicting discharge destination from a postacute geriatric rehabilitation unit. Arch Phys Med Rehabil 2000;81: 1388-93.
22. de Saint-Hubert M, Jamart J, Morrhaye G, Martens HJ, Geenen V, Duy Vo TK, et al. Serum IL-6 and IGF-1 improve clinical prediction of functional decline after hospitalization in older patients. Aging Clin Exp Res 2011;23: 106-11.