Purpose: To examine concurrent validity, item-specific reliability, and score distributions of the new Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (PEDI-CAT) Mobility domain with the original PEDI Functional Skills (FS) Mobility Scale.
Methods: Thirty-five parents of children with neurodevelopmental disabilities completed the PEDI-CAT on a computer and the paper PEDI FS via interview.
Results: Strength of association between the PEDI-CAT Mobility domain and PEDI FS Mobility Scale scores was good to excellent (r = 0.82; P < .001). Intraclass correlation coefficients ranged from .3390 to 1.000, and agreement ranged from 60% to 100% for 8 specific items. No child had the minimum score on either test, whereas 9 children (26%) had a maximum score on the PEDI FS Mobility Scale.
Conclusions: This study provides evidence for potential users that the concurrent validity, reliability, and score distribution for the PEDI-CAT Mobility domain are adequate for use with children with varied diagnoses and throughout the pediatric age span.
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http://dx.doi.org/10.1097/PEP.0b013e31824c94ca | DOI Listing |
BMC Health Serv Res
January 2025
Socio-Medical Sciences Department, Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Background: Rehabilitation technology is a growing field, but the sustainable implementation of these technologies, particularly in home settings, is lacking. The aim of this study was to explore the factors influencing the uptake of stroke rehabilitation technology among various stakeholders, including developers, healthcare professionals, individuals who had strokes, strategic experts, management and innovation staff, health insurers, and the National Health Care Institute.
Methods: In total, 22 semi-structured interviews were conducted with a purposive stakeholder sample.
BMC Geriatr
January 2025
Deputy Director of the Health and Social Care Workforce Research Unit (HSCWRU), The Policy Institute, King's College London, 22 Kings Way, London, WC2B 6LE, England.
Background: Over the past decades, self-directed models of care have been implemented throughout the world to support older people, including those with dementia, to live at home. However, there is limited information about how self-directed home care is experienced by older people with cognitive impairment and dementia, and how their thinking informs their care choices and quality of life.
Methods: We used the ASCOT-Easy Read, a staggered reveal method, talk aloud techniques, probing questions, and physical assistance to support users of self-directed home care in Australia with cognitive impairment and dementia to discuss their Social Care Related Quality of Life (SCRQoL).
Alzheimers Dement
December 2024
University of Michigan, Ann Arbor, MI, USA.
Background: Menopause is a time of accelerated loss of physical function, illustrated by challenges to mobility, speed, strength, and performance of activities of daily living. Physical function is associated with cognitive function, but there are limited data exploring this association among older women. In a cohort of older adult women, we hypothesize better performance on measures of physical function will be associated with better cognitive performance.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Geriatric Education and Research Institute (GERI), 2 Yishun Central 2, Singapore, 768024, Singapore.
Sci Rep
January 2025
Department of Computer Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder that results in a gradual reduction in motor function. Early detection and monitoring of the disease progression is highly challenging due to the gradual progression of symptoms and the inadequacy of conventional methods in identifying subtle changes in mobility.
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