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Context-Aware Systems for Chronic Disease Patients: Scoping Review
BACKGROUND: Context-aware systems, also known as context-sensitive systems, are computing applications designed to capture, interpret, and use contextual information and provide adaptive services according to the current context of use. Context-aware systems have the potential to support patients wi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601254/ https://www.ncbi.nlm.nih.gov/pubmed/31210138 http://dx.doi.org/10.2196/10896 |
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author | Yin, Kathleen Laranjo, Liliana Tong, Huong Ly Lau, Annie YS Kocaballi, A Baki Martin, Paige Vagholkar, Sanjyot Coiera, Enrico |
author_facet | Yin, Kathleen Laranjo, Liliana Tong, Huong Ly Lau, Annie YS Kocaballi, A Baki Martin, Paige Vagholkar, Sanjyot Coiera, Enrico |
author_sort | Yin, Kathleen |
collection | PubMed |
description | BACKGROUND: Context-aware systems, also known as context-sensitive systems, are computing applications designed to capture, interpret, and use contextual information and provide adaptive services according to the current context of use. Context-aware systems have the potential to support patients with chronic conditions; however, little is known about how such systems have been utilized to facilitate patient work. OBJECTIVE: This study aimed to characterize the different tasks and contexts in which context-aware systems for patient work were used as well as to assess any existing evidence about the impact of such systems on health-related process or outcome measures. METHODS: A total of 6 databases (MEDLINE, EMBASE, CINAHL, ACM Digital, Web of Science, and Scopus) were scanned using a predefined search strategy. Studies were included in the review if they focused on patients with chronic conditions, involved the use of a context-aware system to support patients’ health-related activities, and reported the evaluation of the systems by the users. Studies were screened by independent reviewers, and a narrative synthesis of included studies was conducted. RESULTS: The database search retrieved 1478 citations; 6 papers were included, all published from 2009 onwards. The majority of the papers were quasi-experimental and involved pilot and usability testing with a small number of users; there were no randomized controlled trials (RCTs) to evaluate the efficacy of a context-aware system. In the included studies, context was captured using sensors or self-reports, sometimes involving both. Most studies used a combination of sensor technology and mobile apps to deliver personalized feedback. A total of 3 studies examined the impact of interventions on health-related measures, showing positive results. CONCLUSIONS: The use of context-aware systems to support patient work is an emerging area of research. RCTs are needed to evaluate the effectiveness of context-aware systems in improving patient work, self-management practices, and health outcomes in chronic disease patients. |
format | Online Article Text |
id | pubmed-6601254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-66012542019-07-17 Context-Aware Systems for Chronic Disease Patients: Scoping Review Yin, Kathleen Laranjo, Liliana Tong, Huong Ly Lau, Annie YS Kocaballi, A Baki Martin, Paige Vagholkar, Sanjyot Coiera, Enrico J Med Internet Res Review BACKGROUND: Context-aware systems, also known as context-sensitive systems, are computing applications designed to capture, interpret, and use contextual information and provide adaptive services according to the current context of use. Context-aware systems have the potential to support patients with chronic conditions; however, little is known about how such systems have been utilized to facilitate patient work. OBJECTIVE: This study aimed to characterize the different tasks and contexts in which context-aware systems for patient work were used as well as to assess any existing evidence about the impact of such systems on health-related process or outcome measures. METHODS: A total of 6 databases (MEDLINE, EMBASE, CINAHL, ACM Digital, Web of Science, and Scopus) were scanned using a predefined search strategy. Studies were included in the review if they focused on patients with chronic conditions, involved the use of a context-aware system to support patients’ health-related activities, and reported the evaluation of the systems by the users. Studies were screened by independent reviewers, and a narrative synthesis of included studies was conducted. RESULTS: The database search retrieved 1478 citations; 6 papers were included, all published from 2009 onwards. The majority of the papers were quasi-experimental and involved pilot and usability testing with a small number of users; there were no randomized controlled trials (RCTs) to evaluate the efficacy of a context-aware system. In the included studies, context was captured using sensors or self-reports, sometimes involving both. Most studies used a combination of sensor technology and mobile apps to deliver personalized feedback. A total of 3 studies examined the impact of interventions on health-related measures, showing positive results. CONCLUSIONS: The use of context-aware systems to support patient work is an emerging area of research. RCTs are needed to evaluate the effectiveness of context-aware systems in improving patient work, self-management practices, and health outcomes in chronic disease patients. JMIR Publications 2019-06-17 /pmc/articles/PMC6601254/ /pubmed/31210138 http://dx.doi.org/10.2196/10896 Text en ©Kathleen Yin, Liliana Laranjo, Huong Ly Tong, Annie YS Lau, A Baki Kocaballi, Paige Martin, Sanjyot Vagholkar, Enrico Coiera. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 17.06.2019. 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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Yin, Kathleen Laranjo, Liliana Tong, Huong Ly Lau, Annie YS Kocaballi, A Baki Martin, Paige Vagholkar, Sanjyot Coiera, Enrico Context-Aware Systems for Chronic Disease Patients: Scoping Review |
title | Context-Aware Systems for Chronic Disease Patients: Scoping Review |
title_full | Context-Aware Systems for Chronic Disease Patients: Scoping Review |
title_fullStr | Context-Aware Systems for Chronic Disease Patients: Scoping Review |
title_full_unstemmed | Context-Aware Systems for Chronic Disease Patients: Scoping Review |
title_short | Context-Aware Systems for Chronic Disease Patients: Scoping Review |
title_sort | context-aware systems for chronic disease patients: scoping review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601254/ https://www.ncbi.nlm.nih.gov/pubmed/31210138 http://dx.doi.org/10.2196/10896 |
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