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Research Instruments, Questionnaires, and Tools (586) Decision Support for Health Professionals (1203) Home Care (176) Epidemiology (160)

Published on in Vol 17, No 2 (2015): February

FRAT-up, a Web-based Fall-Risk Assessment Tool for Elderly People Living in the Community

FRAT-up, a Web-based Fall-Risk Assessment Tool for Elderly People Living in the Community

FRAT-up, a Web-based Fall-Risk Assessment Tool for Elderly People Living in the Community

Authors of this article:

Luca Cattelani1 Author Orcid Image ;   Pierpaolo Palumbo1 Author Orcid Image ;   Luca Palmerini1 Author Orcid Image ;   Stefania Bandinelli2 Author Orcid Image ;   Clemens Becker3 Author Orcid Image ;   Federico Chesani4 Author Orcid Image ;   Lorenzo Chiari1 Author Orcid Image
Article Authors Cited by (44) Tweetations (16) Metrics

Journals

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  18. Ruggieri M, Palmisano B, Fratocchi G, Santilli V, Mollica R, Berardi A, Galeoto G. Validated Fall Risk Assessment Tools for Use with Older Adults: A Systematic Review. Physical & Occupational Therapy In Geriatrics 2018;36(4):331 View
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  20. Akahane M, Maeyashiki A, Yoshihara S, Tanaka Y, Imamura T. Relationship Between Difficulties in Daily Activities and Falling: Loco-Check as a Self-Assessment of Fall Risk. interactive Journal of Medical Research 2016;5(2):e20 View
  21. Boulton E, Hawley-Hague H, Vereijken B, Clifford A, Guldemond N, Pfeiffer K, Hall A, Chesani F, Mellone S, Bourke A, Todd C. Developing the FARSEEING Taxonomy of Technologies: Classification and description of technology use (including ICT) in falls prevention studies. Journal of Biomedical Informatics 2016;61:132 View
  22. Hu X, Zhao J, Peng D, Sun Z, Qu X. Estimation of Foot Plantar Center of Pressure Trajectories with Low-Cost Instrumented Insoles Using an Individual-Specific Nonlinear Model. Sensors 2018;18(2):421 View
  23. Palmerini L, Klenk J, Becker C, Chiari L. Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls. Sensors 2020;20(22):6479 View
  24. Greene B, McManus K, Ader L, Caulfield B. Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning. Sensors 2021;21(14):4770 View
  25. Inacio M, Moldovan M, Whitehead C, Sluggett J, Crotty M, Corlis M, Visvanathan R, Wesselingh S, Caughey G. The risk of fall-related hospitalisations at entry into permanent residential aged care. BMC Geriatrics 2021;21(1) View
  26. Souza L, Batista R, Camapanharo C, Costa P, Lopes M, Okuno M. Factors associated with risk, perception and knowledge of falls in elderly people. Revista Gaúcha de Enfermagem 2022;43 View
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  28. Goldwater D, Wenger N. Patient-centered care in geriatric cardiology. Trends in Cardiovascular Medicine 2023;33(1):13 View
  29. Dormosh N, Heymans M, van der Velde N, Hugtenburg J, Maarsingh O, Slottje P, Abu-Hanna A, Schut M. External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care. Journal of the American Medical Directors Association 2022;23(10):1691 View
  30. Böttinger M, Bauer J, Gordt-Oesterwind K, Litz E, Jansen C, Becker C. Digitales geriatrisches Self-Assessment – ein narratives Review. Zeitschrift für Gerontologie und Geriatrie 2022;55(5):368 View
  31. Hartley P, Forsyth F, Rowbotham S, Briggs R, Kenny R, Romero-Ortuno R. The use of the World Guidelines for Falls Prevention and Management’s risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA). Age and Ageing 2023;52(7) View
  32. Goggins S. The importance of a comprehensive geriatric assessment for older people admitted onto a virtual ward. British Journal of Nursing 2023;32(18):882 View
  33. ŞEN E, ÇETİNKAYA DUMAN Z. Psikiyatri Kliniğinde Çalışan Hemşirelerin Hasta Düşmeleri ve Önlenmesine İlişkin Bilgi ve Görüşleri. Etkili Hemşirelik Dergisi 2023;16(4):487 View
  34. Xiao X, Li L, Yang H, Peng L, Guo C, Cui W, Liu S, Yu R, Zhang X, Zhang M. Analysis of the incidence of falls and related factors in elderly patients based on comprehensive geriatric assessment. AGING MEDICINE 2023;6(3):245 View
  35. M. K, Josyula S, S. J, J. H, M. N, J. V. Revolutionizing Sports Rehabilitation: Unleashing the Power of Tele-Rehabilitation for Optimal Physiotherapy Results. Telemedicine and e-Health 2024;30(4):e1180 View
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Books/Policy Documents

  1. Leach J, Mellone S, Palumbo P, Chiari L. Converging Clinical and Engineering Research on Neurorehabilitation III. View
  2. El Miedany Y. New Horizons in Osteoporosis Management. View
  3. El Miedany Y. New Horizons in Osteoporosis Management. View