Literature DB >> 24102101

Monitoring activities of daily living of the elderly and the potential for its use in telecare and telehealth: a review.

Hulya Gokalp1, Malcolm Clarke.   

Abstract

OBJECTIVE: This review was designed to determine whether telemonitoring activities of daily living (ADL) of elderly people can improve quality of life and be beneficial to their healthcare.
MATERIALS AND METHODS: Electronic databases were searched for studies that monitored ADL of elderly people and preferably measured some clinical outcomes such as ability to predict key events that require intervention and for studies that assessed perception of elderly people of such telemonitoring systems. The articles were reviewed and assessed independently by two reviewers.
RESULTS: One hundred seventy-five unique studies were found. Sixty-seven of these were identified for potential inclusion, and 25 studies were finally included. Study characteristics, parameters monitored, outcomes, and problems encountered were summarized and discussed. The main focus was on the potential benefits of ADL monitoring on the care of elderly people.
CONCLUSIONS: Although most studies reported on technical improvements in methods for detecting changes in ADL, few, if any, determined the benefits to the patient of telemonitoring for changes in ADL or correlation with any physiological changes. We propose sensor and system characteristics for improved user acceptance and deployment in a large-scale care plan. We present areas requiring further investigation.

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Mesh:

Year:  2013        PMID: 24102101     DOI: 10.1089/tmj.2013.0109

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  14 in total

Review 1.  Recommendations service for chronic disease patient in multimodel sensors home environment.

Authors:  Maqbool Hussain; Taqdir Ali; Wajahat Ali Khan; Muhammad Afzal; Sungyoung Lee; Khalid Latif
Journal:  Telemed J E Health       Date:  2015-01-05       Impact factor: 3.536

2.  Status and Influential Factors of Intelligent Healthcare in Nursing Homes in China.

Authors:  Fanli Meng; Fengbin Song; Mengna Guo; Fujie Wang; Xiaoli Feng; Dahui Wang; Liangwen Xu
Journal:  Comput Inform Nurs       Date:  2020-11-09       Impact factor: 1.985

Review 3.  Cognitive inference device for activity supervision in the elderly.

Authors:  Nilamadhab Mishra; Chung-Chih Lin; Hsien-Tsung Chang
Journal:  ScientificWorldJournal       Date:  2014-10-27

4.  Designing effective visualizations of habits data to aid clinical decision making.

Authors:  Joost de Folter; Hulya Gokalp; Joanna Fursse; Urvashi Sharma; Malcolm Clarke
Journal:  BMC Med Inform Decis Mak       Date:  2014-11-30       Impact factor: 2.796

5.  Evaluating the Economic Impact of Smart Care Platforms: Qualitative and Quantitative Results of a Case Study.

Authors:  Frederic Vannieuwenborg; Thomas Van der Auwermeulen; Jan Van Ooteghem; An Jacobs; Sofie Verbrugge; Didier Colle
Journal:  JMIR Med Inform       Date:  2016-10-31

6.  Informing the Design of "Lifestyle Monitoring" Technology for the Detection of Health Deterioration in Long-Term Conditions: A Qualitative Study of People Living With Heart Failure.

Authors:  Sarah Hargreaves; Mark S Hawley; Annette Haywood; Pamela M Enderby
Journal:  J Med Internet Res       Date:  2017-06-28       Impact factor: 5.428

7.  Classification of Daily Activities for the Elderly Using Wearable Sensors.

Authors:  Jian Liu; Jeehoon Sohn; Sukwon Kim
Journal:  J Healthc Eng       Date:  2017-11-26       Impact factor: 2.682

Review 8.  Integrated Telehealth and Telecare for Monitoring Frail Elderly with Chronic Disease.

Authors:  Hulya Gokalp; Joost de Folter; Vivek Verma; Joanna Fursse; Russell Jones; Malcolm Clarke
Journal:  Telemed J E Health       Date:  2018-08-21       Impact factor: 3.536

Review 9.  How does it work? Factors involved in telemedicine home-interventions effectiveness: A review of reviews.

Authors:  Chiara Bertoncello; Massimiliano Colucci; Tatjana Baldovin; Alessandra Buja; Vincenzo Baldo
Journal:  PLoS One       Date:  2018-11-15       Impact factor: 3.240

10.  AI-Based Early Change Detection in Smart Living Environments.

Authors:  Giovanni Diraco; Alessandro Leone; Pietro Siciliano
Journal:  Sensors (Basel)       Date:  2019-08-14       Impact factor: 3.576

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