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Judgement and Decision Making in Clinical and Return-to-Sports Decision Making: A Narrative Review
Get PDFAccess, Readiness and Willingness to Engage in Allied Health Telerehabilitation Services for Adults: Does Cultural and Linguistic Diversity Make a Difference?
Get PDFTelerehabilitation is an appealing service delivery option for optimising recovery. Internationally, the equity of telerehabilitation services for people from culturally and linguistically diverse (CALD) backgrounds has been questioned. Using a 31-item survey, our study explored the access, readiness and willingness of 260 patients receiving allied health services from a large tertiary health service located in Sydney, Australia, to use telerehabilitation for adults. Overall, 72% patients reported having access to technology, 38% met our readiness criteria and 53% reported willingness to engage in telerehabilitation. There were no differences in access, readiness and willingness to engage in telerehabilitation between patients from CALD and non-CALD backgrounds. Age was the only factor that influenced access (OR = 0.94, 95% CI 0.90 to 0.97), readiness (OR = 0.95, 95% CI 0.92 to 0.98) and willingness (OR = 0.97, 95% CI 0.95 to 1.00) to engage in telerehabilitation. Past experience of telerehabilitation was related to willingness (OR = 2.73, 95% CI 1.55–4.79) but not access (OR = 1.79, 95% CI 0.87 to 3.68) or readiness (OR = 1.90, 95% CI 0.93 to 3.87). Our findings highlight the importance of ensuring positive patient experiences to promote ongoing willingness to use telerehabilitation. Efforts are needed to improve patients’ digital health literacy, especially patients from older age groups, to ensure equitable engagement in telerehabilitation services
Unravelling the complex interplay of factors behind exercise limitations and physical inactivity in COPD
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Associations between school-based relationships and sexuality education and young people’s sexual experiences
Get PDFNumerical radius and p-Schatten norm inequalities for power series of operators in Hilbert spaces
No full textAn effective ensemble learning approach for classification of glioma grades based on novel MRI features
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