Literature DB >> 31625951

Adapting Mobile and Wearable Technology to Provide Support and Monitoring in Rehabilitation for Dementia: Feasibility Case Series.

Julia Thorpe1, Birgitte Hysse Forchhammer2, Anja M Maier1.   

Abstract

BACKGROUND: Mobile and wearable devices are increasingly being used to support our everyday lives and track our behavior. Since daily support and behavior tracking are two core components of cognitive rehabilitation, such personal devices could be employed in rehabilitation approaches aimed at improving independence and engagement among people with dementia.
OBJECTIVE: The aim of this work was to investigate the feasibility of using smartphones and smartwatches to augment rehabilitation by providing adaptable, personalized support and objective, continuous measures of mobility and activity behavior.
METHODS: A feasibility study comprising 6 in-depth case studies was carried out among people with early-stage dementia and their caregivers. Participants used a smartphone and smartwatch for 8 weeks for personalized support and followed goals for quality of life. Data were collected from device sensors and logs, mobile self-reports, assessments, weekly phone calls, and interviews. This data were analyzed to evaluate the utility of sensor data generated by devices used by people with dementia in an everyday life context; this was done to compare objective measures with subjective reports of mobility and activity and to examine technology acceptance focusing on usefulness and health efficacy.
RESULTS: Adequate sensor data was generated to reveal behavioral patterns, even for minimal device use. Objective mobility and activity measures reflecting fluctuations in participants' self-reported behavior, especially when combined, may be advantageous in revealing gradual trends and could provide detailed insights regarding goal attainment ratings. Personalized support benefited all participants to varying degrees by addressing functional, memory, safety, and psychosocial needs. A total of 4 of 6 (67%) participants felt motivated to be active by tracking their step count. One participant described a highly positive impact on mobility, anxiety, mood, and caregiver burden, mainly as a result of navigation support and location-tracking tools.
CONCLUSIONS: Smartphones and wearables could provide beneficial and pervasive support and monitoring for rehabilitation among people with dementia. These results substantiate the need for further investigation on a larger scale, especially considering the inevitable presence of mobile and wearable technology in our everyday lives for years to come. ©Julia Thorpe, Birgitte Hysse Forchhammer, Anja M Maier. Originally published in JMIR Formative Research (http://formative.jmir.org), 17.10.2019.

Entities:  

Keywords:  P4 health care; activity; cognitive rehabilitation; dementia; health care design; mHealth; mobility; pervasive health care; uHealth

Year:  2019        PMID: 31625951     DOI: 10.2196/12346

Source DB:  PubMed          Journal:  JMIR Form Res        ISSN: 2561-326X


  7 in total

1.  Electronic Health Diary Campaigns to Complement Longitudinal Assessments in Persons With Multiple Sclerosis: Nested Observational Study.

Authors:  Chloé Sieber; Deborah Chiavi; Christina Haag; Marco Kaufmann; Andrea B Horn; Holger Dressel; Chiara Zecca; Pasquale Calabrese; Caroline Pot; Christian Philipp Kamm; Viktor von Wyl
Journal:  JMIR Mhealth Uhealth       Date:  2022-10-05       Impact factor: 4.947

Review 2.  Wearable and Portable GPS Solutions for Monitoring Mobility in Dementia: A Systematic Review.

Authors:  Anisha Cullen; Md Khadimul Anam Mazhar; Matthew D Smith; Fiona E Lithander; Mícheál Ó Breasail; Emily J Henderson
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

3.  Older Adults' Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis.

Authors:  Kevin Moore; Emma O'Shea; Lorna Kenny; John Barton; Salvatore Tedesco; Marco Sica; Colum Crowe; Antti Alamäki; Joan Condell; Anna Nordström; Suzanne Timmons
Journal:  JMIR Mhealth Uhealth       Date:  2021-06-03       Impact factor: 4.773

4.  Usability of Wearable Devices With a Novel Cardiac Force Index for Estimating the Dynamic Cardiac Function: Observational Study.

Authors:  Chi-Wen Chang; Yuan-Kuei Li; Jenq-Shyong Chan; Chi-Ming Chu; Po-Jen Hsiao; Chih-Chien Chiu; Ke-Hsin Lin; Fu-Kang Hu; Pei-Jan Tsai; Chun-Ting Wu; Yuan-Kai Pang; Yu Lin; Ming-Hao Kuo; Kang-Hua Chen; Yi-Syuan Wu; Hao-Yi Wu; Ya-Ting Chang; Yu-Tien Chang; Chia-Shiang Cheng; Chih-Pin Chuu; Fu-Huang Lin
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-21       Impact factor: 4.773

5.  Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study.

Authors:  María Óskarsdóttir; Anna Sigridur Islind; Elias August; Erna Sif Arnardóttir; François Patou; Anja M Maier
Journal:  JMIR Form Res       Date:  2022-02-22

6.  A Digital Platform for Facilitating Personalized Dementia Care in Nursing Homes: Formative Evaluation Study.

Authors:  Gubing Wang; Armagan Albayrak; Gerd Kortuem; Tischa Jm van der Cammen
Journal:  JMIR Form Res       Date:  2021-05-28

Review 7.  Participation of persons with dementia and their caregivers in research.

Authors:  Lori Frank; Lee A Jennings; Ronald C Petersen; Tabassum Majid; Andrea Gilmore-Bykovskyi; Lonni Schicker; Jason Karlawish
Journal:  J Am Geriatr Soc       Date:  2021-07       Impact factor: 7.538

  7 in total

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