Cargando…

Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study

BACKGROUND: Frailty syndrome disproportionately affects older people, including 15% of non-nursing home population, and is known to be a strong predictor of poor health outcomes. There is a growing interest in incorporating frailty assessment into research and clinical practice, which may provide an...

Descripción completa

Detalles Bibliográficos
Autores principales: Blinka, Marcela D., Buta, Brian, Bader, Kevin D., Hanley, Casey, Schoenborn, Nancy L., McNabney, Matthew, Xue, Qian-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863502/
https://www.ncbi.nlm.nih.gov/pubmed/33541276
http://dx.doi.org/10.1186/s12877-021-02041-z
_version_ 1783647507934347264
author Blinka, Marcela D.
Buta, Brian
Bader, Kevin D.
Hanley, Casey
Schoenborn, Nancy L.
McNabney, Matthew
Xue, Qian-Li
author_facet Blinka, Marcela D.
Buta, Brian
Bader, Kevin D.
Hanley, Casey
Schoenborn, Nancy L.
McNabney, Matthew
Xue, Qian-Li
author_sort Blinka, Marcela D.
collection PubMed
description BACKGROUND: Frailty syndrome disproportionately affects older people, including 15% of non-nursing home population, and is known to be a strong predictor of poor health outcomes. There is a growing interest in incorporating frailty assessment into research and clinical practice, which may provide an opportunity to improve in home frailty assessment and improve doctor patient communication. METHODS: We conducted focus groups discussions to solicit input from older adult care recipients (non-frail, pre-frail, and frail), their informal caregivers, and medical providers about their preferences to tailor a mobile app to measure frailty in the home using sensor based technologies. Focus groups were recorded, transcribed, and analyzed thematically. RESULTS: We identified three major themes: 1) perspectives of frailty; 2) perceptions of home based sensors; and 3) data management concerns. These relate to the participants’ insight, attitudes and concerns about having sensor-based technology to measure frailty in the home. Our qualitative findings indicate that knowing frailty status is important and useful and would allow older adults to remain independent longer. Participants also noted concerns with data management and the hope that this technology would not replace in-person visits with their healthcare provider. CONCLUSIONS: This study found that study participants of each frailty status expressed high interest and acceptance of sensor-based technologies. Based on the qualitative findings of this study, sensor-based technologies show promise for frailty assessment of older adults with care needs. The main concerns identified related to the volume of data collected and strategies for responsible and secure transfer, reporting, and distillation of data into useful and timely care information. Sensor-based technologies should be piloted for feasibility and utility. This will inform the larger goal of helping older adults to maintain independence while tracking potential health declines, especially among the most vulnerable, for early detection and intervention. Keywords: Frailty, wearable, health services. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02041-z.
format Online
Article
Text
id pubmed-7863502
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-78635022021-02-05 Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study Blinka, Marcela D. Buta, Brian Bader, Kevin D. Hanley, Casey Schoenborn, Nancy L. McNabney, Matthew Xue, Qian-Li BMC Geriatr Research Article BACKGROUND: Frailty syndrome disproportionately affects older people, including 15% of non-nursing home population, and is known to be a strong predictor of poor health outcomes. There is a growing interest in incorporating frailty assessment into research and clinical practice, which may provide an opportunity to improve in home frailty assessment and improve doctor patient communication. METHODS: We conducted focus groups discussions to solicit input from older adult care recipients (non-frail, pre-frail, and frail), their informal caregivers, and medical providers about their preferences to tailor a mobile app to measure frailty in the home using sensor based technologies. Focus groups were recorded, transcribed, and analyzed thematically. RESULTS: We identified three major themes: 1) perspectives of frailty; 2) perceptions of home based sensors; and 3) data management concerns. These relate to the participants’ insight, attitudes and concerns about having sensor-based technology to measure frailty in the home. Our qualitative findings indicate that knowing frailty status is important and useful and would allow older adults to remain independent longer. Participants also noted concerns with data management and the hope that this technology would not replace in-person visits with their healthcare provider. CONCLUSIONS: This study found that study participants of each frailty status expressed high interest and acceptance of sensor-based technologies. Based on the qualitative findings of this study, sensor-based technologies show promise for frailty assessment of older adults with care needs. The main concerns identified related to the volume of data collected and strategies for responsible and secure transfer, reporting, and distillation of data into useful and timely care information. Sensor-based technologies should be piloted for feasibility and utility. This will inform the larger goal of helping older adults to maintain independence while tracking potential health declines, especially among the most vulnerable, for early detection and intervention. Keywords: Frailty, wearable, health services. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02041-z. BioMed Central 2021-02-04 /pmc/articles/PMC7863502/ /pubmed/33541276 http://dx.doi.org/10.1186/s12877-021-02041-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Blinka, Marcela D.
Buta, Brian
Bader, Kevin D.
Hanley, Casey
Schoenborn, Nancy L.
McNabney, Matthew
Xue, Qian-Li
Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
title Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
title_full Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
title_fullStr Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
title_full_unstemmed Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
title_short Developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
title_sort developing a sensor-based mobile application for in-home frailty assessment: a qualitative study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863502/
https://www.ncbi.nlm.nih.gov/pubmed/33541276
http://dx.doi.org/10.1186/s12877-021-02041-z
work_keys_str_mv AT blinkamarcelad developingasensorbasedmobileapplicationforinhomefrailtyassessmentaqualitativestudy
AT butabrian developingasensorbasedmobileapplicationforinhomefrailtyassessmentaqualitativestudy
AT baderkevind developingasensorbasedmobileapplicationforinhomefrailtyassessmentaqualitativestudy
AT hanleycasey developingasensorbasedmobileapplicationforinhomefrailtyassessmentaqualitativestudy
AT schoenbornnancyl developingasensorbasedmobileapplicationforinhomefrailtyassessmentaqualitativestudy
AT mcnabneymatthew developingasensorbasedmobileapplicationforinhomefrailtyassessmentaqualitativestudy
AT xueqianli developingasensorbasedmobileapplicationforinhomefrailtyassessmentaqualitativestudy