Observations of Activity Levels in a Purpose-Built, Inpatient, Rehabilitation Facility
Autor: | Katharine Scrivener, Shaun Gallagher, Catherine M. Dean, Michael Thorburn, Bridget Dean, Natasha Pocovi, Taryn Jones, Wesley Henrisson |
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Rok vydání: | 2019 |
Předmět: |
Male
030506 rehabilitation medicine.medical_specialty Time Factors medicine.medical_treatment Posture Physical activity Environmental design Critical Care and Intensive Care Medicine Rehabilitation Centers Hospitals Private 03 medical and health sciences 0302 clinical medicine Cognition Medicine Humans Social Behavior Exercise Aged Aged 80 and over Inpatients Rehabilitation business.industry Public Health Environmental and Occupational Health Middle Aged Inpatient rehabilitation facility Cross-Sectional Studies Physical therapy Female New South Wales 0305 other medical science business Behavior Observation Techniques 030217 neurology & neurosurgery |
Zdroj: | HERD. 12(4) |
ISSN: | 2167-5112 |
Popis: | Background: Effective rehabilitation should include high levels of physical activity. The impact of the environmental design on activity levels has had minimal consideration. Purpose: This study investigates activity levels of inpatients undergoing rehabilitation in a new rehabilitation facility with innovative design and multidisciplinary care, comparing weekday and weekend activity levels, as well as changes over a 12-month period. Method: An observational study reporting participants’ location, people present, body position, and activity type on 2 weekdays and 1 weekend day using behavior mapping techniques. Fifteen participants were observed in a mixed rehabilitation unit with neurological, orthopedic, and other health conditions. Results: Results were calculated as the proportion of observations participants spent in each location, position, and performing activities (physical, cognitive, social), and time spent alone and inactive. On average, participants were engaged in activity for 86% (standard deviation [ SD] = 9) of the day, with physical activity accounting for 51% ( SD = 11), cognitive activity 28% ( SD = 10), and social activity 42% ( SD = 16). There was more physical activity (mean difference [ MD] 8% absolute, confidence interval [CI] = [4, 12], p < .01) and less social activity ( MD −6% absolute, CI [−11, −1], p = .02) on weekdays compared to weekends. Overall, participants were alone and inactive for 12% ( SD = 9) of the day. Participants observed in 2016 displayed similar results to those observed in 2015. Conclusion: High levels of activity were achieved in this facility that underwent environmental redesign, construction of new facilities, and implementation of evidence-based strategies. |
Databáze: | OpenAIRE |
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