Falls Prevention in the Elderly

Articles published in 2024 in this theme: 14 (scroll down to load remaining articles)

2024

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Disaster Preparedness Intervention for Older Adults (Seniors’ Positive Involvement in Community Emergencies): Protocol for a Quasi-Experimental Study

Sharon White-Lewis, Joseph Lightner, Julia Crowley, Amanda Grimes, Kathleen Spears, Steven Chesnut

JMIR Res Protoc 2024 (Dec 04); 13:e58895

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Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis

Sónia A Alves, Steffen Temme, Seyedamirhosein Motamedi, Marie Kura, Sebastian Weber, Johannes Zeichen, Wolfgang Pommer, André Baumgart

JMIR Aging 2024 (Dec 04); 7:e55681

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Relationship Between Depression and Falls Among Nursing Home Residents: Integrative Review

Alcina Matos Queirós, Armin von Gunten, Joëlle Rosselet Amoussou, Andreia Maria Lima, Maria Manuela Martins, Henk Verloo

Interact J Med Res 2024 (Nov 28); 13:e57050

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An Electronic Medical Record–Based Prognostic Model for Inpatient Falls: Development and Internal-External Cross-Validation

Rex Parsons, Robin Blythe, Susanna Cramb, Ahmad Abdel-Hafez, Steven McPhail

J Med Internet Res 2024 (Nov 13); 26:e59634

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Ability of Heart Rate Recovery and Gait Kinetics in a Single Wearable to Predict Frailty: Quasiexperimental Pilot Study

Reshma Aziz Merchant, Bernard Loke, Yiong Huak Chan

JMIR Form Res 2024 (Oct 03); 8:e58110

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Development of a 12-Week Unsupervised Online Tai Chi Program for People With Hip and Knee Osteoarthritis: Mixed Methods Study

Shiyi Julia Zhu, Kim L Bennell, Rana S Hinman, Jenny Harrison, Alexander J Kimp, Rachel K Nelligan

JMIR Aging 2024 (Sep 30); 7:e55322

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Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study

Brian Suffoletto, David Kim, Caitlin Toth, Waverly Mayer, Sean Glaister, Chris Cinkowski, Nick Ashenburg, Michelle Lin, Michael Losak

JMIR Aging 2024 (Sep 04); 7:e57601

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An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design

Jinxi Zhang, Zhen Li, Yu Liu, Jian Li, Hualong Qiu, Mohan Li, Guohui Hou, Zhixiong Zhou

J Med Internet Res 2024 (Aug 05); 26:e56750

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Knowledge, Skills, and Experience With Technology in Relation to Nutritional Intake and Physical Activity Among Older Adults at Risk of Falls: Semistructured Interview Study

Julie Kikkenborg, Emma Magelund, Maria Silke Riise, Lars Kayser, Rikke Terp

JMIR Hum Factors 2024 (May 08); 11:e52575

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The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review

Ana González-Castro, Raquel Leirós-Rodríguez, Camino Prada-García, José Alberto Benítez-Andrades

J Med Internet Res 2024 (Apr 29); 26:e54934

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Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls

Hanna J Barton, Apoorva Maru, Margaret A Leaf, Daniel J Hekman, Douglas A Wiegmann, Manish N Shah, Brian W Patterson

JMIR Hum Factors 2024 (Apr 18); 11:e52592

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Telemedicine-Based Risk Program to Prevent Falls Among Older Adults: Protocol for a Randomized Quality Improvement Trial

David B Rein, Madeleine E Hackney, Yara K Haddad, Farah A Sublett, Briana Moreland, Laurie Imhof, Cora Peterson, Jaswinder K Legha, Janice Mark, Camille P Vaughan, Theodore M Johnson II, Gwen Bergen, Emory STEADI Implementation team

JMIR Res Protoc 2024 (Mar 26); 13:e54395

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Head Protection Device for Individuals at Risk for Head Injury due to Ground-Level Falls: Single Trauma Center User Experience Investigation

Susan Haag, John Kepros

JMIR Hum Factors 2024 (Mar 19); 11:e54854

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Phase Angle and Impedance Ratio as Indicators of Physical Function and Fear of Falling in Older Adult Women: Cross-Sectional Analysis

Danielle A Sterner, Jeffrey R Stout, Kworweinski Lafontant, Joon-Hyuk Park, David H Fukuda, Ladda Thiamwong

JMIR Aging 2024 (Mar 05); 7:e53975

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