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ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial
BACKGROUND: Falls are very common, especially in adults aged 65 years and older. Within the current international European Commission’s Seventh Framework Program (FP7) project ‘iStoppFalls’ an Information and Communication Technology (ICT) based system has been developed to regularly assess a person...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145835/ https://www.ncbi.nlm.nih.gov/pubmed/25141850 http://dx.doi.org/10.1186/1471-2318-14-91 |
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author | Gschwind, Yves J Eichberg, Sabine Marston, Hannah R Ejupi, Andreas Rosario, Helios de Kroll, Michael Drobics, Mario Annegarn, Janneke Wieching, Rainer Lord, Stephen R Aal, Konstantin Delbaere, Kim |
author_facet | Gschwind, Yves J Eichberg, Sabine Marston, Hannah R Ejupi, Andreas Rosario, Helios de Kroll, Michael Drobics, Mario Annegarn, Janneke Wieching, Rainer Lord, Stephen R Aal, Konstantin Delbaere, Kim |
author_sort | Gschwind, Yves J |
collection | PubMed |
description | BACKGROUND: Falls are very common, especially in adults aged 65 years and older. Within the current international European Commission’s Seventh Framework Program (FP7) project ‘iStoppFalls’ an Information and Communication Technology (ICT) based system has been developed to regularly assess a person’s risk of falling in their own home and to deliver an individual and tailored home-based exercise and education program for fall prevention. The primary aims of iStoppFalls are to assess the feasibility and acceptability of the intervention program, and its effectiveness to improve balance, muscle strength and quality of life in older people. METHODS/DESIGN: This international, multicenter study is designed as a single-blinded, two-group randomized controlled trial. A total of 160 community-dwelling older people aged 65 years and older will be recruited in Germany (n = 60), Spain (n = 40), and Australia (n = 60) between November 2013 and May 2014. Participants in the intervention group will conduct a 16-week exercise program using the iStoppFalls system through their television set at home. Participants are encouraged to exercise for a total duration of 180 minutes per week. The training program consists of a variety of balance and strength exercises in the form of video games using exergame technology. Educational material about a healthy lifestyle will be provided to each participant. Final reassessments will be conducted after 16 weeks. The assessments include physical and cognitive tests as well as questionnaires assessing health, fear of falling, quality of life and psychosocial determinants. Falls will be followed up for six months by monthly falls calendars. DISCUSSION: We hypothesize that the regular use of this newly developed ICT-based system for fall prevention at home is feasible for older people. By using the iStoppFalls sensor-based exercise program, older people are expected to improve in balance and strength outcomes. In addition, the exercise training may have a positive impact on quality of life by reducing the risk of falls. Taken together with expected cognitive improvements, the individual approach of the iStoppFalls program may provide an effective model for fall prevention in older people who prefer to exercise at home. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry Trial ID: ACTRN12614000096651. International Standard Randomised Controlled Trial Number: ISRCTN15932647. |
format | Online Article Text |
id | pubmed-4145835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41458352014-08-28 ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial Gschwind, Yves J Eichberg, Sabine Marston, Hannah R Ejupi, Andreas Rosario, Helios de Kroll, Michael Drobics, Mario Annegarn, Janneke Wieching, Rainer Lord, Stephen R Aal, Konstantin Delbaere, Kim BMC Geriatr Study Protocol BACKGROUND: Falls are very common, especially in adults aged 65 years and older. Within the current international European Commission’s Seventh Framework Program (FP7) project ‘iStoppFalls’ an Information and Communication Technology (ICT) based system has been developed to regularly assess a person’s risk of falling in their own home and to deliver an individual and tailored home-based exercise and education program for fall prevention. The primary aims of iStoppFalls are to assess the feasibility and acceptability of the intervention program, and its effectiveness to improve balance, muscle strength and quality of life in older people. METHODS/DESIGN: This international, multicenter study is designed as a single-blinded, two-group randomized controlled trial. A total of 160 community-dwelling older people aged 65 years and older will be recruited in Germany (n = 60), Spain (n = 40), and Australia (n = 60) between November 2013 and May 2014. Participants in the intervention group will conduct a 16-week exercise program using the iStoppFalls system through their television set at home. Participants are encouraged to exercise for a total duration of 180 minutes per week. The training program consists of a variety of balance and strength exercises in the form of video games using exergame technology. Educational material about a healthy lifestyle will be provided to each participant. Final reassessments will be conducted after 16 weeks. The assessments include physical and cognitive tests as well as questionnaires assessing health, fear of falling, quality of life and psychosocial determinants. Falls will be followed up for six months by monthly falls calendars. DISCUSSION: We hypothesize that the regular use of this newly developed ICT-based system for fall prevention at home is feasible for older people. By using the iStoppFalls sensor-based exercise program, older people are expected to improve in balance and strength outcomes. In addition, the exercise training may have a positive impact on quality of life by reducing the risk of falls. Taken together with expected cognitive improvements, the individual approach of the iStoppFalls program may provide an effective model for fall prevention in older people who prefer to exercise at home. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry Trial ID: ACTRN12614000096651. International Standard Randomised Controlled Trial Number: ISRCTN15932647. BioMed Central 2014-08-20 /pmc/articles/PMC4145835/ /pubmed/25141850 http://dx.doi.org/10.1186/1471-2318-14-91 Text en Copyright © 2014 Gschwind et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Gschwind, Yves J Eichberg, Sabine Marston, Hannah R Ejupi, Andreas Rosario, Helios de Kroll, Michael Drobics, Mario Annegarn, Janneke Wieching, Rainer Lord, Stephen R Aal, Konstantin Delbaere, Kim ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial |
title | ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial |
title_full | ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial |
title_fullStr | ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial |
title_full_unstemmed | ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial |
title_short | ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter randomized controlled trial |
title_sort | ict-based system to predict and prevent falls (istoppfalls): study protocol for an international multicenter randomized controlled trial |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145835/ https://www.ncbi.nlm.nih.gov/pubmed/25141850 http://dx.doi.org/10.1186/1471-2318-14-91 |
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