Falls Prevention in the Elderly

Articles published in 2020 in this theme: 12 (scroll down to load remaining articles)

2020

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Integrating Key User Characteristics in User-Centered Design of Digital Support Systems for Seniors’ Physical Activity Interventions to Prevent Falls: Protocol for a Usability Study

Åsa Revenäs, Ann-Christin Johansson, Maria Ehn

JMIR Res Protoc 2020 (Dec 21); 9(12):e20061

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Acceptance of a Virtual Reality Headset Designed for Fall Prevention in Older Adults: Questionnaire Study

Nicolas Mascret, Lisa Delbes, Amélie Voron, Jean-Jacques Temprado, Gilles Montagne

J Med Internet Res 2020 (Dec 14); 22(12):e20691

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Smartphone Apps to Support Falls Rehabilitation Exercise: App Development and Usability and Acceptability Study

Helen Hawley-Hague, Carlo Tacconi, Sabato Mellone, Ellen Martinez, Claire Ford, Lorenzo Chiari, Jorunn Helbostad, Chris Todd

JMIR Mhealth Uhealth 2020 (Sep 28); 8(9):e15460

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Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study

Elisa Dolci, Barbara Schärer, Nicole Grossmann, Sarah Naima Musy, Franziska Zúñiga, Stefanie Bachnick, Michael Simon

J Med Internet Res 2020 (Sep 21); 22(9):e19516

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Consumer-Grade Wearable Device for Predicting Frailty in Canadian Home Care Service Clients: Prospective Observational Proof-of-Concept Study

Ben Kim, Sandra M McKay, Joon Lee

J Med Internet Res 2020 (Sep 03); 22(9):e19732

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Digital Media as a Proponent for Healthy Aging in the Older Chinese American Population: Longitudinal Analysis

Sara Shu, Benjamin K P Woo

JMIR Aging 2020 (Jun 16); 3(1):e20321

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Comparisons Between Hypothesis- and Data-Driven Approaches for Multimorbidity Frailty Index: A Machine Learning Approach

Li-Ning Peng, Fei-Yuan Hsiao, Wei-Ju Lee, Shih-Tsung Huang, Liang-Kung Chen

J Med Internet Res 2020 (Jun 11); 22(6):e16213

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Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches

Adane Tarekegn, Fulvio Ricceri, Giuseppe Costa, Elisa Ferracin, Mario Giacobini

JMIR Med Inform 2020 (Jun 04); 8(6):e16678

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A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation

Runting Zhong, Pei-Luen Patrick Rau

JMIR Mhealth Uhealth 2020 (May 26); 8(5):e14453

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Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

Hayao Nakatani, Masatoshi Nakao, Hidefumi Uchiyama, Hiroyoshi Toyoshiba, Chikayuki Ochiai

JMIR Med Inform 2020 (Apr 22); 8(4):e16970

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Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study

Kim Sarah Sczuka, Lars Schwickert, Clemens Becker, Jochen Klenk

J Med Internet Res 2020 (Apr 03); 22(4):e13961

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Descriptive Evaluation and Accuracy of a Mobile App to Assess Fall Risk in Seniors: Retrospective Case-Control Study

Sophie Rabe, Arash Azhand, Wolfgang Pommer, Swantje Müller, Anika Steinert

JMIR Aging 2020 (Feb 14); 3(1):e16131

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