Literature DB >> 24798946

Older adults' perceptions of technologies aimed at falls prevention, detection or monitoring: a systematic review.

Helen Hawley-Hague1, Elisabeth Boulton2, Alex Hall2, Klaus Pfeiffer3, Chris Todd2.   

Abstract

BACKGROUND: Over recent years a number of Information and Communication Technologies (ICTs) have emerged aiming at falls prevention, falls detection and alarms for use in case of fall. There are also a range of ICT interventions, which have been created or adapted to be pro-active in preventing falls, such as those which provide strength and balance training to older adults in the prevention of falls. However, there are issues related to the adoption and continued use of these technologies by older adults.
OBJECTIVES: This review provides an overview of older adults' perceptions of falls technologies.
METHODS: We undertook systematic searches of MEDLINE, EMBASE, CINAHL and PsychINFO, COMPENDEX and the Cochrane database. Key search terms included 'older adults', 'seniors', 'preference', 'attitudes' and a wide range of technologies, they also included the key word 'fall*'. We considered all studies that included older adults aged 50 and above. Studies had to include technologies related specifically to falls prevention, detection or monitoring. The Joanna Briggs Institute (JBI) tool and the Quality Assessment Tool for Quantitative Studies by the Effective Public Health Practice Project (EPHPP) were used.
RESULTS: We identified 76 potentially relevant papers. Some 21 studies were considered for quality review. Twelve qualitative studies, three quantitative studies and 6 mixed methods studies were included. The literature related to technologies aimed at predicting, monitoring and preventing falls suggest that intrinsic factors related to older adults' attitudes around control, independence and perceived need/requirements for safety are important for their motivation to use and continue using technologies. Extrinsic factors such as usability, feedback gained and costs are important elements which support these attitudes and perceptions.
CONCLUSION: Positive messages about the benefits of falls technologies for promoting healthy active ageing and independence are critical, as is ensuring that the technologies are simple, reliable and effective and tailored to individual need. The technologies need to be clearly described in research and older peoples' attitudes towards different sorts of technologies must be clarified if specific recommendations are to be made.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Aged; Behaviour; Fall prevention; Technology

Mesh:

Year:  2014        PMID: 24798946     DOI: 10.1016/j.ijmedinf.2014.03.002

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  35 in total

1.  Obesity, pelvic inflammatory disease, falls prevention, and domestic violence.

Authors:  Ahmed Rashid
Journal:  Br J Gen Pract       Date:  2014-08       Impact factor: 5.386

2.  Differentiating fallers from nonfallers using nonlinear variability analyses of data from a low-cost portable footswitch device: a feasibility study.

Authors:  Arash Mohammadzadeh Gonabadi; Prokopios Antonellis; Philippe Malcolm
Journal:  Acta Bioeng Biomech       Date:  2021       Impact factor: 1.073

Review 3.  Digital care technologies in people with dementia living in long-term care facilities to prevent falls and manage behavioural and psychological symptoms of dementia: a systematic review.

Authors:  Daniel Kam Yin Chan; Luke Kar Man Chan; Ye Min Kuang; Mai Nhat Vi Le; Branko Celler
Journal:  Eur J Ageing       Date:  2021-05-15

4.  Perceptions of In-home Monitoring Technology for Activities of Daily Living: Semistructured Interview Study With Community-Dwelling Older Adults.

Authors:  Nicola Camp; Julie Johnston; Martin G C Lewis; Massimiliano Zecca; Alessandro Di Nuovo; Kirsty Hunter; Daniele Magistro
Journal:  JMIR Aging       Date:  2022-05-05

5.  Advances in Long Term Physical Behaviour Monitoring.

Authors:  Jorunn L Helbostad; Lorenzo Chiari; Sebastien Chastin; Kamiar Aminian
Journal:  Biomed Res Int       Date:  2016-04-11       Impact factor: 3.411

6.  Remote Health Monitoring for Older Adults and Those with Heart Failure: Adherence and System Usability.

Authors:  Jarrett Evans; Amy Papadopoulos; Christine Tsien Silvers; Neil Charness; Walter R Boot; Loretta Schlachta-Fairchild; Cindy Crump; Michele Martinez; Carrie Beth Ent
Journal:  Telemed J E Health       Date:  2015-11-05       Impact factor: 3.536

Review 7.  Involvement of older people in the development of fall detection systems: a scoping review.

Authors:  Friederike J S Thilo; Barbara Hürlimann; Sabine Hahn; Selina Bilger; Jos M G A Schols; Ruud J G Halfens
Journal:  BMC Geriatr       Date:  2016-02-11       Impact factor: 3.921

Review 8.  Specialist Bibliographic Databases.

Authors:  Armen Yuri Gasparyan; Marlen Yessirkepov; Alexander A Voronov; Vladimir I Trukhachev; Elena I Kostyukova; Alexey N Gerasimov; George D Kitas
Journal:  J Korean Med Sci       Date:  2016-02-23       Impact factor: 2.153

9.  Opinions and Beliefs About Telemedicine for Emergency Treatment During Ambulance Transportation and for Chronic Care at Home.

Authors:  Alexis Valenzuela Espinoza; Ann De Smedt; Kaat Guldolf; Fenne Vandervorst; Robbert-Jan Van Hooff; Helio Fernandez Tellez; Sara Desmaele; Melissa Cambron; Ives Hubloue; Raf Brouns
Journal:  Interact J Med Res       Date:  2016-03-30

10.  Human Factors and Requirements of People with Cognitive Impairment, Their Caregivers, and Healthcare Professionals for mHealth Apps Including Reminders, Games, and Geolocation Tracking: A Survey-Questionnaire Study.

Authors:  Ioulietta Lazarou; Thanos G Stavropoulos; Lampros Mpaltadoros; Spiros Nikolopoulos; George Koumanakos; Magda Tsolaki; Ioannis Yiannis Kompatsiaris
Journal:  J Alzheimers Dis Rep       Date:  2021-06-11
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