Literature DB >> 26773345

Fall prevention intervention technologies: A conceptual framework and survey of the state of the art.

Julian Hamm1, Arthur G Money2, Anita Atwal3, Ioannis Paraskevopoulos4.   

Abstract

In recent years, an ever increasing range of technology-based applications have been developed with the goal of assisting in the delivery of more effective and efficient fall prevention interventions. Whilst there have been a number of studies that have surveyed technologies for a particular sub-domain of fall prevention, there is no existing research which surveys the full spectrum of falls prevention interventions and characterises the range of technologies that have augmented this landscape. This study presents a conceptual framework and survey of the state of the art of technology-based fall prevention systems which is derived from a systematic template analysis of studies presented in contemporary research literature. The framework proposes four broad categories of fall prevention intervention system: Pre-fall prevention; Post-fall prevention; Fall injury prevention; Cross-fall prevention. Other categories include, Application type, Technology deployment platform, Information sources, Deployment environment, User interface type, and Collaborative function. After presenting the conceptual framework, a detailed survey of the state of the art is presented as a function of the proposed framework. A number of research challenges emerge as a result of surveying the research literature, which include a need for: new systems that focus on overcoming extrinsic falls risk factors; systems that support the environmental risk assessment process; systems that enable patients and practitioners to develop more collaborative relationships and engage in shared decision making during falls risk assessment and prevention activities. In response to these challenges, recommendations and future research directions are proposed to overcome each respective challenge.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Collaborative care; Conceptual framework; Falls prevention; Healthcare; Self-care; Technology-based interventions

Mesh:

Year:  2016        PMID: 26773345     DOI: 10.1016/j.jbi.2015.12.013

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  19 in total

1.  Effectiveness of a self-managed digital exercise programme to prevent falls in older community-dwelling adults: study protocol for the Safe Step randomised controlled trial.

Authors:  Beatrice Pettersson; Lillemor Lundin-Olsson; Dawn A Skelton; Per Liv; Magnus Zingmark; Erik Rosendahl; Marlene Sandlund
Journal:  BMJ Open       Date:  2020-05-17       Impact factor: 2.692

Review 2.  Does modified Otago Exercise Program improves balance in older people? A systematic review.

Authors:  Anabela Correia Martins; Cláudia Santos; Catarina Silva; Daniela Baltazar; Juliana Moreira; Nuno Tavares
Journal:  Prev Med Rep       Date:  2018-07-10

Review 3.  Effectiveness of robotics fall prevention program among elderly in senior housings, Bangkok, Thailand: a quasi-experimental study.

Authors:  Natthawadee Maneeprom; Surasak Taneepanichskul; Alessio Panza; Areerat Suputtitada
Journal:  Clin Interv Aging       Date:  2019-02-18       Impact factor: 4.458

4.  Can smartphone technology be used to support an effective home exercise intervention to prevent falls amongst community dwelling older adults?: the TOGETHER feasibility RCT study protocol.

Authors:  Helen Hawley-Hague; Carlo Tacconi; Sabato Mellone; Ellen Martinez; Angela Easdon; Fan Bella Yang; Ting-Li Su; A Stefanie Mikolaizak; Lorenzo Chiari; Jorunn L Helbostad; Chris Todd
Journal:  BMJ Open       Date:  2019-09-18       Impact factor: 2.692

5.  Mobile three-dimensional visualisation technologies for clinician-led fall prevention assessments.

Authors:  Julian Hamm; Arthur G Money; Anita Atwal; Gheorghita Ghinea
Journal:  Health Informatics J       Date:  2017-08-17       Impact factor: 2.681

6.  Technology-Based Motivation Support for Seniors' Physical Activity-A Qualitative Study on Seniors' and Health Care Professionals' Views.

Authors:  Maria Ehn; Ann-Christin Johansson; Åsa Revenäs
Journal:  Int J Environ Res Public Health       Date:  2019-07-08       Impact factor: 3.390

Review 7.  The Effect of Mixed Reality Technologies for Falls Prevention Among Older Adults: Systematic Review and Meta-analysis.

Authors:  Anna Nishchyk; Weiqin Chen; Are Hugo Pripp; Astrid Bergland
Journal:  JMIR Aging       Date:  2021-06-30

Review 8.  Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

Authors:  Ramesh Rajagopalan; Irene Litvan; Tzyy-Ping Jung
Journal:  Sensors (Basel)       Date:  2017-11-01       Impact factor: 3.576

9.  Thoracopelvic assisted movement training to improve gait and balance in elderly at risk of falling: a case series.

Authors:  Shmuel Springer; Itamar Friedman; Avi Ohry
Journal:  Clin Interv Aging       Date:  2018-06-20       Impact factor: 4.458

10.  Diet and Activity Assessments and Interventions Using Technology in Older Adults.

Authors:  Michelle Takemoto; Todd M Manini; Dori E Rosenberg; Amanda Lazar; Zvinka Z Zlatar; Sai Krupa Das; Jacqueline Kerr
Journal:  Am J Prev Med       Date:  2018-10       Impact factor: 5.043

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