A Digital Health Fall Prevention Program for Older Adults: Feasibility Study

BACKGROUND: About 1 in 3 adults aged 65 and older falls annually. Exercise interventions are effective in reducing the fall risk and fall rate among older adults. In 2020, startup company Age Bold Inc. disseminated the Bold Fall Prevention Program, aiming to reduce falls among older adults through a...

Descripción completa

Detalles Bibliográficos
Autores principales: Jacobson, Claire L, Foster, Lauren C, Arul, Hari, Rees, Amanda, Stafford, Randall S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8738986/
https://www.ncbi.nlm.nih.gov/pubmed/34837492
http://dx.doi.org/10.2196/30558
_version_ 1784629020202106880
author Jacobson, Claire L
Foster, Lauren C
Arul, Hari
Rees, Amanda
Stafford, Randall S
author_facet Jacobson, Claire L
Foster, Lauren C
Arul, Hari
Rees, Amanda
Stafford, Randall S
author_sort Jacobson, Claire L
collection PubMed
description BACKGROUND: About 1 in 3 adults aged 65 and older falls annually. Exercise interventions are effective in reducing the fall risk and fall rate among older adults. In 2020, startup company Age Bold Inc. disseminated the Bold Fall Prevention Program, aiming to reduce falls among older adults through a remotely delivered, digital exercise program. OBJECTIVE: We conducted a feasibility study to assess the delivery of the Bold Fall Prevention Program remotely and evaluate the program's impact on 2 primary outcomes—annualized fall rate and weekly minutes of physical activity (PA)—over 6 months of follow-up. METHODS: Older adults at high risk of falling were screened and recruited for the feasibility study via nationwide digital advertising strategies. Self-reported outcomes were collected via surveys administered at the time of enrollment and after 3 and 6 months. Responses were used to calculate changes in the annualized fall rate and minutes of PA per week. RESULTS: The remote delivery of a progressive digital fall prevention program and associated research study, including remote recruitment, enrollment, and data collection, was deemed feasible. Participants successfully engaged at home with on-demand video exercise classes, self-assessments, and online surveys. We enrolled 65 participants, of whom 48 (74%) were women, and the average participant age was 72.6 years. Of the 65 participants, 54 (83%) took at least 1 exercise class, 40 (62%) responded to at least 1 follow-up survey at either 3 or 6 months, 20 (31%) responded to both follow-up surveys, and 25 (39%) were lost to follow-up. Among all participants who completed at least 1 follow-up survey, weekly minutes of PA increased by 182% (ratio change=2.82, 95% CI 1.26-6.37, n=35) from baseline and annualized falls per year decreased by 46% (incidence rate ratio [IRR]=0.54, 95% CI 0.32-0.90, n=40). Among only 6-month survey responders (n=31, 48%), weekly minutes of PA increased by 206% (ratio change=3.06, 95% CI 1.43-6.55) from baseline to 6 months (n=30, 46%) and the annualized fall rate decreased by 28% (IRR=0.72, 95% CI 0.42-1.23) from baseline to 6 months. CONCLUSIONS: The Bold Fall Prevention Program provides a feasible strategy to increase PA and reduce the burden of falls among older adults.
format Online
Article
Text
id pubmed-8738986
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-87389862022-01-21 A Digital Health Fall Prevention Program for Older Adults: Feasibility Study Jacobson, Claire L Foster, Lauren C Arul, Hari Rees, Amanda Stafford, Randall S JMIR Form Res Original Paper BACKGROUND: About 1 in 3 adults aged 65 and older falls annually. Exercise interventions are effective in reducing the fall risk and fall rate among older adults. In 2020, startup company Age Bold Inc. disseminated the Bold Fall Prevention Program, aiming to reduce falls among older adults through a remotely delivered, digital exercise program. OBJECTIVE: We conducted a feasibility study to assess the delivery of the Bold Fall Prevention Program remotely and evaluate the program's impact on 2 primary outcomes—annualized fall rate and weekly minutes of physical activity (PA)—over 6 months of follow-up. METHODS: Older adults at high risk of falling were screened and recruited for the feasibility study via nationwide digital advertising strategies. Self-reported outcomes were collected via surveys administered at the time of enrollment and after 3 and 6 months. Responses were used to calculate changes in the annualized fall rate and minutes of PA per week. RESULTS: The remote delivery of a progressive digital fall prevention program and associated research study, including remote recruitment, enrollment, and data collection, was deemed feasible. Participants successfully engaged at home with on-demand video exercise classes, self-assessments, and online surveys. We enrolled 65 participants, of whom 48 (74%) were women, and the average participant age was 72.6 years. Of the 65 participants, 54 (83%) took at least 1 exercise class, 40 (62%) responded to at least 1 follow-up survey at either 3 or 6 months, 20 (31%) responded to both follow-up surveys, and 25 (39%) were lost to follow-up. Among all participants who completed at least 1 follow-up survey, weekly minutes of PA increased by 182% (ratio change=2.82, 95% CI 1.26-6.37, n=35) from baseline and annualized falls per year decreased by 46% (incidence rate ratio [IRR]=0.54, 95% CI 0.32-0.90, n=40). Among only 6-month survey responders (n=31, 48%), weekly minutes of PA increased by 206% (ratio change=3.06, 95% CI 1.43-6.55) from baseline to 6 months (n=30, 46%) and the annualized fall rate decreased by 28% (IRR=0.72, 95% CI 0.42-1.23) from baseline to 6 months. CONCLUSIONS: The Bold Fall Prevention Program provides a feasible strategy to increase PA and reduce the burden of falls among older adults. JMIR Publications 2021-12-23 /pmc/articles/PMC8738986/ /pubmed/34837492 http://dx.doi.org/10.2196/30558 Text en ©Claire L Jacobson, Lauren C Foster, Hari Arul, Amanda Rees, Randall S Stafford. Originally published in JMIR Formative Research (https://formative.jmir.org), 23.12.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Jacobson, Claire L
Foster, Lauren C
Arul, Hari
Rees, Amanda
Stafford, Randall S
A Digital Health Fall Prevention Program for Older Adults: Feasibility Study
title A Digital Health Fall Prevention Program for Older Adults: Feasibility Study
title_full A Digital Health Fall Prevention Program for Older Adults: Feasibility Study
title_fullStr A Digital Health Fall Prevention Program for Older Adults: Feasibility Study
title_full_unstemmed A Digital Health Fall Prevention Program for Older Adults: Feasibility Study
title_short A Digital Health Fall Prevention Program for Older Adults: Feasibility Study
title_sort digital health fall prevention program for older adults: feasibility study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8738986/
https://www.ncbi.nlm.nih.gov/pubmed/34837492
http://dx.doi.org/10.2196/30558
work_keys_str_mv AT jacobsonclairel adigitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT fosterlaurenc adigitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT arulhari adigitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT reesamanda adigitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT staffordrandalls adigitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT jacobsonclairel digitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT fosterlaurenc digitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT arulhari digitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT reesamanda digitalhealthfallpreventionprogramforolderadultsfeasibilitystudy
AT staffordrandalls digitalhealthfallpreventionprogramforolderadultsfeasibilitystudy