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...
Published in: | Journal of Medical Internet Research |
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Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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JMIR Publications
2020
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Online Access: | https://hdl.handle.net/10037/18560 https://doi.org/10.2196/13116 |
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ftunivtroemsoe:oai:munin.uit.no:10037/18560 |
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Open Polar |
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University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
VDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801 VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801 |
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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 |
topic_facet |
VDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801 VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801 |
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, 95% CI 1.13-1.53), (had) suffered from psychological problems (OR 1.70, 95% CI 1.43-2.01), or (had) suffered from other diseases (OR 1.43, 95% CI 1.20-1.71). The factors associated with an increase in the use of social media for accessing health information were as follows: (had) suffered from psychological problems (OR 1.65, 95% CI 1.42-1.91), working part time (OR 1.35, 95% CI 0.62-2.63), receiving disability benefits (OR 1.42, 95% CI 1.14-1.76), having received an upper secondary school education (OR 1.20, 95% CI 1.03-1.38), being a man with a high household income (OR 1.67, 95% CI 1.07-2.60), suffering from cardiovascular diseases and having a high household income (OR 3.39, 95% CI 1.62-8.16), and suffering from respiratory diseases while being retired (OR 1.95, 95% CI 1.28-2.97). Conclusions: Our findings show that different diseases are currently associated with the use of different eHealth resources. This knowledge is useful for those who plan eHealth interventions as they can take into account which type of eHealth resource may be used for gaining the attention of the different user groups. |
format |
Article in Journal/Newspaper |
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 |
title |
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_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_sort |
impact of illness on electronic health use (the seventh tromsø study - part 2): population-based questionnaire study |
publisher |
JMIR Publications |
publishDate |
2020 |
url |
https://hdl.handle.net/10037/18560 https://doi.org/10.2196/13116 |
geographic |
Tromsø |
geographic_facet |
Tromsø |
genre |
Tromsø |
genre_facet |
Tromsø |
op_relation |
Journal of Medical Internet Research info:eu-repo/grantAgreement/RCN/IKTPLUSS/248150/Norway/Assessing the feasibility of the Learning Healthcare System toolbox// Ruiz L, Wynn R, Oyeyemi SO, Budrionis A, Yigzaw KY, Bellika JG. Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study. Journal of Medical Internet Research. 2020;22:e13116(3):1-13 FRIDAID 1730529 doi:10.2196/13116 1438-8871 https://hdl.handle.net/10037/18560 |
op_rights |
openAccess Copyright 2020 The Author(s) |
op_doi |
https://doi.org/10.2196/13116 |
container_title |
Journal of Medical Internet Research |
container_volume |
22 |
container_issue |
3 |
container_start_page |
e13116 |
_version_ |
1766219386598719488 |
spelling |
ftunivtroemsoe:oai:munin.uit.no:10037/18560 2023-05-15T18:34:35+02:00 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// Ruiz L, Wynn R, Oyeyemi SO, Budrionis A, Yigzaw KY, Bellika JG. Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study. Journal of Medical Internet Research. 2020;22:e13116(3):1-13 FRIDAID 1730529 doi:10.2196/13116 1438-8871 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 2021-06-25T17:57:29Z 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, 95% CI 1.13-1.53), (had) suffered from psychological problems (OR 1.70, 95% CI 1.43-2.01), or (had) suffered from other diseases (OR 1.43, 95% CI 1.20-1.71). The factors associated with an increase in the use of social media for accessing health information were as follows: (had) suffered from psychological problems (OR 1.65, 95% CI 1.42-1.91), working part time (OR 1.35, 95% CI 0.62-2.63), receiving disability benefits (OR 1.42, 95% CI 1.14-1.76), having received an upper secondary school education (OR 1.20, 95% CI 1.03-1.38), being a man with a high household income (OR 1.67, 95% CI 1.07-2.60), suffering from cardiovascular diseases and having a high household income (OR 3.39, 95% CI 1.62-8.16), and suffering from respiratory diseases while being retired (OR 1.95, 95% CI 1.28-2.97). Conclusions: Our findings show that different diseases are currently associated with the use of different eHealth resources. This knowledge is useful for those who plan eHealth interventions as they can take into account which type of eHealth resource may be used for gaining the attention of the different user groups. Article in Journal/Newspaper Tromsø University of Tromsø: Munin Open Research Archive Tromsø Journal of Medical Internet Research 22 3 e13116 |