Use of a functional mobility measure to predict discharge destinations for patients admitted to an older adult rehabilitation ward: A feasibility study

Autor: Maheswaran Rohan, Peter J. Larmer, Trish M Tillson
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Male
medicine.medical_specialty
Time Factors
medicine.medical_treatment
Population
Predictor variables
regression analysis
rehabilitation
Tertiary Care Centers
03 medical and health sciences
Disability Evaluation
0302 clinical medicine
Elderly mobility scale
Patient Admission
Predictive Value of Tests
Risk Factors
medicine
Humans
030212 general & internal medicine
Mobility Limitation
education
Geriatric Assessment
Research Articles
Physical Therapy Modalities
Aged
Retrospective Studies
Community and Home Care
Patient discharge
Aged
80 and over
education.field_of_study
Rehabilitation
business.industry
aging
patient discharge
Retrospective cohort study
Regression analysis
General Medicine
Recovery of Function
Length of Stay
Heterogeneous population
Treatment Outcome
Physical therapy
Feasibility Studies
Female
Geriatrics and Gerontology
business
030217 neurology & neurosurgery
Research Article
Zdroj: Australasian Journal on Ageing
ISSN: 1741-6612
1440-6381
Popis: OBJECTIVE To investigate whether the discharge destination for older adults can be predicted using functional mobility as measured by the Modified Elderly Mobility Scale (MEMS), associated with demographic and primary reason for admission variables. METHODS A retrospective cohort population audit of 257 patients admitted and discharged from four tertiary older adult rehabilitation wards in a three-month period. A number of predictor variables were considered alongside the discharge destination. RESULTS Multinomial statistical modelling established that MEMS prior to (P < 0.001), MEMS on completion (P = 0.009) of rehabilitation physiotherapy and primary reason for admission (P = 0.002) were significant variables to predict discharge destination. The model correctly predicted 71% of observed patient discharge destinations. CONCLUSION The MEMS in conjunction with primary reason for admission was able to predict discharge destination with 71% accuracy in a heterogeneous population of older adults following rehabilitation.
Databáze: OpenAIRE
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