Objectives: Use of exercise technologies has benefits for community-dwelling older adults in terms of improved gait and balance. But research on the feasibility of use of exercise technologies in various geriatric health care settings is lacking. Hence, the current study examined the feasibility of implementing an exercise technology intended to augment rehabilitation in patients receiving post-acute care (PAC) in a skilled nursing facility (SNF). We focused on 3 indicators of feasibility: extent of usage (including predictors of more intense use), patients' acceptability of the technology, and limited efficacy.
Design: Cross-sectional study with data from patients' electronic medical records (EMR), exercise technology portal, and patient interviews.
Setting: SNF.
Participants: A sample of post-acute patients (n = 237).
Measurements: Sociodemographic and health-related variables, time spent using the technology, and 8 items of the Physical Activity Enjoyment Scale (PACES).
Results: Average time spent using the technology varied greatly (range, 1-460 minutes). A regression analysis showed that patients who had a longer length of stay (β = .01, P < .05) and were younger (β = -0.01, P < .05) spent significantly more time using the technology. Acceptability of technology was high among patients. Finally, patients who used the technology had lower 30-day rehospitalization rates.
Conclusion: Exercise technology is feasible to use in supporting rehabilitation in patients receiving PAC in a SNF and seems to have beneficial effects.
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http://dx.doi.org/10.1016/j.jamda.2017.07.002 | DOI Listing |
JAMA Netw Open
January 2025
National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Importance: Sleep disorders and mild cognitive impairment (MCI) commonly coexist in older adults, increasing their risk of developing dementia. Long-term tai chi chuan has been proven to improve sleep quality in older adults. However, their adherence to extended training regimens can be challenging.
View Article and Find Full Text PDFBiol Res Nurs
January 2025
Department of Exercise Physiology, Faculty of Sport Sciences and Health, University of Tehran, Tehran, Iran.
Overweight and obesity are associated with adverse psychological outcomes, compromised body composition, and reduced quality of life (QoL). While exercise training has been proposed as an effective intervention, its impact on these outcomes remains unclear. This systematic review and meta-analysis evaluated the effects of exercise training on psychological outcomes, body composition, and QoL in overweight or obese adults.
View Article and Find Full Text PDFAI has changed the landscape of health professions education. With the hype now behind us, we find ourselves in the phase of reckoning, considering what's next; where do we start and how can educators use these powerful tools for daily teaching and learning. We recognize the great need for training to use AI meaningfully for education.
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Department of Sport Sciences, University of Beira Interior, Convento de Santo António, 6201-001 Covilhã, Portugal.
Background: Breast cancer treatments often cause serious side effects, but physical exercise has shown the potential to improve both the physical and psychological health outcomes of survivors. This review and meta-analysis aimed to synthesize and analyze the scientific evidence on the effectiveness of concurrent training on physical, psychological, and biomarkers variables on breast cancer survivors.; Methods: A systematic review and meta-analysis was registered in PROSPERO (CRD42024571851).
View Article and Find Full Text PDFJ Adv Nurs
January 2025
School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand.
Aim: This integrative review aims to identify what nurses currently offer through digital technology and their success in managing chronic pain.
Design: An integrative review guided by Whittemore and Knafl was conducted.
Data Sources: Five databases-CINAHL, Medline, PsycINFO, PubMed, and Scopus-were utilised to gather relevant studies from January 2018 to November 2024.
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