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Can I read Predicting Dropout and Mobility Achievements during in-Patient Geriatric Rehabilitation on EtoBox?
Predicting Dropout and Mobility Achievements during in-Patient Geriatric Rehabilitation by Gilad Cohen; Michal Katz-Leurer is a Health Professions article available to read on EtoBox.
What is Predicting Dropout and Mobility Achievements during in-Patient Geriatric Rehabilitation about?
Aims: To predict, at the beginning of geriatric rehabilitation, patients who will not complete the in-patient rehabilitation and patients who will walk independently at the end of this period. Methods: Participants: A total of 40 older adults. Primary outcomes: Dropout rate, score 6-7 in the walking sub-items of the Functional Independence Measure (FIM) at the end of rehabilitation. Predictors: Heart rate (HR) at rest, the Modified Borg Scale (MBS) while walking, and FIM walking at admission. Results: Twelve of the participants dropped out. An MBS > 5 best predicted who did not complete the rehabilitation intervention (accuracy = 0.70). At the end of the rehabilitation period, 24 were independent in mobility. A baseline FIM walking >2 and MBS < 7 predicted independence in walking (accuracy 0.84 and 0.82, respectively). Conclusion: Simple measures taken at the beginning of geriatric rehabilitation may contribute to estimating early not completion of rehabilitation and mobility independence at the end of the program.
Who reads Predicting Dropout and Mobility Achievements during in-Patient Geriatric Rehabilitation?
It is typically read by researchers, students, and practitioners in Health Professions.
- Author
- Gilad Cohen; Michal Katz-Leurer
- Publisher
- Informa UK Limited
- Published
- 2023
- Language
- EN
- Field
- Health Professions (Health Sciences)