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Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review
Background: Insomnia seems to be related to disability, risk of injury, metabolic syndrome, risk for cardiovascular diseases, cognitive impairment, depression and impaired quality of life. Objectives: The goals in this paper was (1) to keep track of technological concepts and approaches to improve i...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630834/ https://www.ncbi.nlm.nih.gov/pubmed/31208061 http://dx.doi.org/10.3390/medsci7060070 |
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author | Salvemini, Arianna D’Onofrio, Grazia Ciccone, Filomena Greco, Antonella Tullio, Anita Addante, Filomena Sancarlo, Daniele Vendemiale, Gianluigi Serviddio, Gaetano Ricciardi, Francesco Giuliani, Francesco Greco, Antonio |
author_facet | Salvemini, Arianna D’Onofrio, Grazia Ciccone, Filomena Greco, Antonella Tullio, Anita Addante, Filomena Sancarlo, Daniele Vendemiale, Gianluigi Serviddio, Gaetano Ricciardi, Francesco Giuliani, Francesco Greco, Antonio |
author_sort | Salvemini, Arianna |
collection | PubMed |
description | Background: Insomnia seems to be related to disability, risk of injury, metabolic syndrome, risk for cardiovascular diseases, cognitive impairment, depression and impaired quality of life. Objectives: The goals in this paper was (1) to keep track of technological concepts and approaches to improve insomnia in elderly people, and (2) to define the effect that information and communication technologies (ICT) is having on patients’ care. Design: A systematic review was conducted from existing literature. Our selection criteria included: (1) age ≥ 60 years; (2) diagnosis of insomnia with the International Classification of Sleep Disorders (ICSD-II), (3) CBTi (cognitive behavioural therapy insomnia), (4) use of technological tools, and (5) associations between insomnia-related variables and indices of disability, quality of life, and global clinical assessments. Data analysis: 11 articles were included. An inductive content analysis was used for data extraction. Results: Our review revealed any technological systems that could purportedly rehabilitate elderly patients with insomnia. Three categories of research were identified from the review: (1) Internet Deliver-CBTi, (2) virtual coaches, and (3) sleep technologies. Conclusions: The potential for ICT to support insomnia care at home can improve the quality of life for families and reduce health care costs and premature institutional care. |
format | Online Article Text |
id | pubmed-6630834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66308342019-08-19 Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review Salvemini, Arianna D’Onofrio, Grazia Ciccone, Filomena Greco, Antonella Tullio, Anita Addante, Filomena Sancarlo, Daniele Vendemiale, Gianluigi Serviddio, Gaetano Ricciardi, Francesco Giuliani, Francesco Greco, Antonio Med Sci (Basel) Review Background: Insomnia seems to be related to disability, risk of injury, metabolic syndrome, risk for cardiovascular diseases, cognitive impairment, depression and impaired quality of life. Objectives: The goals in this paper was (1) to keep track of technological concepts and approaches to improve insomnia in elderly people, and (2) to define the effect that information and communication technologies (ICT) is having on patients’ care. Design: A systematic review was conducted from existing literature. Our selection criteria included: (1) age ≥ 60 years; (2) diagnosis of insomnia with the International Classification of Sleep Disorders (ICSD-II), (3) CBTi (cognitive behavioural therapy insomnia), (4) use of technological tools, and (5) associations between insomnia-related variables and indices of disability, quality of life, and global clinical assessments. Data analysis: 11 articles were included. An inductive content analysis was used for data extraction. Results: Our review revealed any technological systems that could purportedly rehabilitate elderly patients with insomnia. Three categories of research were identified from the review: (1) Internet Deliver-CBTi, (2) virtual coaches, and (3) sleep technologies. Conclusions: The potential for ICT to support insomnia care at home can improve the quality of life for families and reduce health care costs and premature institutional care. MDPI 2019-06-15 /pmc/articles/PMC6630834/ /pubmed/31208061 http://dx.doi.org/10.3390/medsci7060070 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Salvemini, Arianna D’Onofrio, Grazia Ciccone, Filomena Greco, Antonella Tullio, Anita Addante, Filomena Sancarlo, Daniele Vendemiale, Gianluigi Serviddio, Gaetano Ricciardi, Francesco Giuliani, Francesco Greco, Antonio Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review |
title | Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review |
title_full | Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review |
title_fullStr | Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review |
title_full_unstemmed | Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review |
title_short | Insomnia and Information and Communication Technologies (ICT) in Elderly People: A Systematic Review |
title_sort | insomnia and information and communication technologies (ict) in elderly people: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630834/ https://www.ncbi.nlm.nih.gov/pubmed/31208061 http://dx.doi.org/10.3390/medsci7060070 |
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