Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study

Background: Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases. Objective: The aim of...

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Published in:Journal of Medical Internet Research
Main Authors: Ruiz, Luis Marco, Wynn, Rolf, Oyeyemi, Sunday Oluwafemi, Budrionis, Andrius, Yigzaw, Kassaye Yitbarek, Bellika, Johan Gustav
Format: Article in Journal/Newspaper
Language:English
Published: JMIR Publications 2020
Subjects:
Online Access:https://hdl.handle.net/10037/18560
https://doi.org/10.2196/13116
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author Ruiz, Luis Marco
Wynn, Rolf
Oyeyemi, Sunday Oluwafemi
Budrionis, Andrius
Yigzaw, Kassaye Yitbarek
Bellika, Johan Gustav
author_facet Ruiz, Luis Marco
Wynn, Rolf
Oyeyemi, Sunday Oluwafemi
Budrionis, Andrius
Yigzaw, Kassaye Yitbarek
Bellika, Johan Gustav
author_sort Ruiz, Luis Marco
collection University of Tromsø: Munin Open Research Archive
container_issue 3
container_start_page e13116
container_title Journal of Medical Internet Research
container_volume 22
description Background: Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases. Objective: The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources. Methods: Data from the seventh survey of the Tromsø Study (Tromsø 7) were analyzed to determine how different diseases influence the use of different eHealth resources. Specifically, the eHealth resources considered were use of apps, search engines, video services, and social media. The analysis contained data from 21,083 participants in the age group older than 40 years. A total of 15,585 (15,585/21,083; 73.92%) participants reported to have suffered some disease, 10,604 (10,604/21,083; 50.29%) participants reported to have used some kind of eHealth resource in the last year, and 7854 (7854/21,083; 37.25%) participants reported to have used some kind of eHealth resource in the last year and suffered (or had suffered) from some kind of specified disease. Logistic regression was used to determine which diseases significantly predicted the use of each eHealth resource. Results: The use of apps was increased among those individuals that (had) suffered from psychological problems (odds ratio [OR] 1.39, 95% CI 1.23-1.56) and cardiovascular diseases (OR 1.12, 95% CI 1.01-1.24) and those part-time workers that (had) suffered from any of the diseases classified as others (OR 2.08, 95% CI 1.35-3.32). The use of search engines for accessing health information increased among individuals who suffered from psychological problems (OR 1.39, 95% CI 1.25-1.55), cancer (OR 1.26, 95% CI 1.11-1.44), or any of the diseases classified as other diseases (OR 1.27, 95% CI 1.13-1.42). Regarding video services, their use for accessing health information was more likely when the participant was a man (OR 1.31, ...
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/18560 2025-04-13T14:27:34+00:00 Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study Ruiz, Luis Marco Wynn, Rolf Oyeyemi, Sunday Oluwafemi Budrionis, Andrius Yigzaw, Kassaye Yitbarek Bellika, Johan Gustav 2020-03-05 https://hdl.handle.net/10037/18560 https://doi.org/10.2196/13116 eng eng JMIR Publications Journal of Medical Internet Research info:eu-repo/grantAgreement/RCN/IKTPLUSS/248150/Norway/Assessing the feasibility of the Learning Healthcare System toolbox// FRIDAID 1730529 doi:10.2196/13116 https://hdl.handle.net/10037/18560 openAccess Copyright 2020 The Author(s) VDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801 VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2020 ftunivtroemsoe https://doi.org/10.2196/13116 2025-03-14T05:17:55Z Background: Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases. Objective: The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources. Methods: Data from the seventh survey of the Tromsø Study (Tromsø 7) were analyzed to determine how different diseases influence the use of different eHealth resources. Specifically, the eHealth resources considered were use of apps, search engines, video services, and social media. The analysis contained data from 21,083 participants in the age group older than 40 years. A total of 15,585 (15,585/21,083; 73.92%) participants reported to have suffered some disease, 10,604 (10,604/21,083; 50.29%) participants reported to have used some kind of eHealth resource in the last year, and 7854 (7854/21,083; 37.25%) participants reported to have used some kind of eHealth resource in the last year and suffered (or had suffered) from some kind of specified disease. Logistic regression was used to determine which diseases significantly predicted the use of each eHealth resource. Results: The use of apps was increased among those individuals that (had) suffered from psychological problems (odds ratio [OR] 1.39, 95% CI 1.23-1.56) and cardiovascular diseases (OR 1.12, 95% CI 1.01-1.24) and those part-time workers that (had) suffered from any of the diseases classified as others (OR 2.08, 95% CI 1.35-3.32). The use of search engines for accessing health information increased among individuals who suffered from psychological problems (OR 1.39, 95% CI 1.25-1.55), cancer (OR 1.26, 95% CI 1.11-1.44), or any of the diseases classified as other diseases (OR 1.27, 95% CI 1.13-1.42). Regarding video services, their use for accessing health information was more likely when the participant was a man (OR 1.31, ... Article in Journal/Newspaper Tromsø University of Tromsø: Munin Open Research Archive Tromsø Journal of Medical Internet Research 22 3 e13116
spellingShingle VDP::Medical disciplines: 700::Health sciences: 800::Community medicine
Social medicine: 801
VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin
sosialmedisin: 801
Ruiz, Luis Marco
Wynn, Rolf
Oyeyemi, Sunday Oluwafemi
Budrionis, Andrius
Yigzaw, Kassaye Yitbarek
Bellika, Johan Gustav
Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
title Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
title_full Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
title_fullStr Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
title_full_unstemmed Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
title_short Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
title_sort impact of illness on electronic health use (the seventh tromsø study - part 2): population-based questionnaire study
topic VDP::Medical disciplines: 700::Health sciences: 800::Community medicine
Social medicine: 801
VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin
sosialmedisin: 801
topic_facet VDP::Medical disciplines: 700::Health sciences: 800::Community medicine
Social medicine: 801
VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin
sosialmedisin: 801
url https://hdl.handle.net/10037/18560
https://doi.org/10.2196/13116