Falls Prevention in the Elderly

Articles published in 2026 in this theme: 6 (scroll down to load remaining articles)

2026

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Reliability and Discriminant Ability of an Instrumented Timed Up and Go Test in People With Postsurgical Orthopedic Conditions: Quantitative Study

Marica Giardini, Ilaria Arcolin, Valerio Antonio Arcobelli, Michela Picardi, Sabato Mellone, Marco Godi

JMIR Rehabil Assist Technol 2026 (Apr 01); 13:e82632

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Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a “Fall Prevention” Data Module: Development Study

Sarah Milkov, Antonia Schmidt, Anja Burmann, Niklas Tschorn, Marcel Klötgen, Wolfgang Deiters, Christian Potthoff, Kirsten Neveling, Yvonne Weber, Maren Keuchel, Daniela Holle

J Med Internet Res 2026 (Mar 17); 28:e82417

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Exploring the Barriers and Opportunities for a More Predictive Data-Driven Telecare Service: Qualitative Study in Scotland

Emma Dunlop, David Kernaghan, Natalie Weir, Kimberley Kavanagh, Marc Roper, Marilyn Lennon

JMIR Form Res 2026 (Feb 27); 10:e85056

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Association of Fall-Risk Factors and Margin of Stability While Tripping in Community-Dwelling Older Adults: Experimental Pilot Study

Kim Sarah Sczuka, Marc Schneider, Ngaire Kerse, Clemens Becker, Jochen Klenk

JMIR Form Res 2026 (Feb 05); 10:e74418

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Effectiveness and Cost-Effectiveness of a Digital Falls Prevention Program Versus Usual Care to Improve Balance, Falls Risk, and Function in Older Adults: Protocol for the Keep-On-Keep-Up Randomized Controlled Trial

Emma Stanmore, Amelia Parchment, Bolanle Odebiyi, Peter Bower, Chloe French, Chunhu Shi, Saima Bashir, Saima Ahmed, Dawn Dowding, Jo Dumville, Roman Kislov, Alex Thompson, Dawn A Skelton, Margaret Clarke, Chris Todd

JMIR Res Protoc 2026 (Feb 05); 15:e78840

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Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional Study

Xiyao Yang, Juan Ren, Dan Su, Manzhen Bao, Miao Zhang, Xiaoming Chen, Yanhua Li, Zonggui Wang, Xiujing Dai, Zengzeng Wei, Shuiyu Zhang, Yuxin Zhang, Juan Li, Xiaolin Li, Junjin Xu, Nan Mo

JMIR Aging 2026 (Jan 05); 9:e80602

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