Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study

Background: Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, p...

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Published in:JMIR Medical Informatics
Main Authors: Wynn, Rolf, Oyeyemi, Sunday Oluwafemi, Budrionis, Andrius, Ruiz, Luis Marco, Yigzaw, Kassaye Yitbarek, Bellika, Johan Gustav
Format: Article in Journal/Newspaper
Language:English
Published: JMIR Publications 2020
Subjects:
Online Access:https://hdl.handle.net/10037/18561
https://doi.org/10.2196/13106
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author Wynn, Rolf
Oyeyemi, Sunday Oluwafemi
Budrionis, Andrius
Ruiz, Luis Marco
Yigzaw, Kassaye Yitbarek
Bellika, Johan Gustav
author_facet Wynn, Rolf
Oyeyemi, Sunday Oluwafemi
Budrionis, Andrius
Ruiz, Luis Marco
Yigzaw, Kassaye Yitbarek
Bellika, Johan Gustav
author_sort Wynn, Rolf
collection University of Tromsø: Munin Open Research Archive
container_issue 3
container_start_page e13106
container_title JMIR Medical Informatics
container_volume 8
description Background: Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway. Objective: The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services. Methods: Data were collected through a questionnaire given to participants in the seventh survey of the Tromsø Study (Tromsø 7). The study involved a representative sample of the Norwegian population aged above 40 years old. A subset of the more extensive questionnaire was explicitly related to eHealth use. Data were analyzed using logistic regression analyses. Results: Approximately half (52.7%; 9752/18,497) of the respondents had used some form of eHealth services during the last year. About 58% (5624/9698) of the participants who had responded to a question about taking some type of action based on information gained from using eHealth services had done so. The variables of being a woman (OR 1.58; 95% CI 1.47-1.68), of younger age (40-49 year age group: OR 4.28, 95% CI 3.63-5.04), with a higher education (tertiary/long: OR 3.77, 95% CI 3.40-4.19), and a higher income (>1 million kr [US $100,000]: OR 2.19, 95% CI 1.77-2.70) all positively predicted the use of eHealth services. Not living with a spouse (OR 1.14, 95% CI 1.04-1.25), having seen a general practitioner (GP) in the last year (OR 1.66, 95% CI 1.53-1.80), and having had some disease (such as heart disease, cancer, asthma, etc; OR 1.29, 95% CI 1.18-1.41) also positively predicted eHealth use. Self-rated health status did not significantly influence eHealth use. Taking some action following eHealth use was predicted with the variables of being a woman (OR 1.16, 95% CI 1.07-1.27), being ...
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spelling ftunivtroemsoe:oai:munin.uit.no:10037/18561 2025-04-13T14:27:34+00:00 Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study Wynn, Rolf Oyeyemi, Sunday Oluwafemi Budrionis, Andrius Ruiz, Luis Marco Yigzaw, Kassaye Yitbarek Bellika, Johan Gustav 2020-03-05 https://hdl.handle.net/10037/18561 https://doi.org/10.2196/13106 eng eng JMIR Publications JMIR Medical Informatics info:eu-repo/grantAgreement/RCN/IKTPLUSS/248150/Norway/Assessing the feasibility of the Learning Healthcare System toolbox// FRIDAID 1748509 doi:10.2196/13106 https://hdl.handle.net/10037/18561 openAccess Copyright 2020 The Author(s) VDP::Medical disciplines: 700::Health sciences: 800::Health service and health administration research: 806 VDP::Medisinske Fag: 700::Helsefag: 800::Helsetjeneste- og helseadministrasjonsforskning: 806 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2020 ftunivtroemsoe https://doi.org/10.2196/13106 2025-03-14T05:17:55Z Background: Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway. Objective: The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services. Methods: Data were collected through a questionnaire given to participants in the seventh survey of the Tromsø Study (Tromsø 7). The study involved a representative sample of the Norwegian population aged above 40 years old. A subset of the more extensive questionnaire was explicitly related to eHealth use. Data were analyzed using logistic regression analyses. Results: Approximately half (52.7%; 9752/18,497) of the respondents had used some form of eHealth services during the last year. About 58% (5624/9698) of the participants who had responded to a question about taking some type of action based on information gained from using eHealth services had done so. The variables of being a woman (OR 1.58; 95% CI 1.47-1.68), of younger age (40-49 year age group: OR 4.28, 95% CI 3.63-5.04), with a higher education (tertiary/long: OR 3.77, 95% CI 3.40-4.19), and a higher income (>1 million kr [US $100,000]: OR 2.19, 95% CI 1.77-2.70) all positively predicted the use of eHealth services. Not living with a spouse (OR 1.14, 95% CI 1.04-1.25), having seen a general practitioner (GP) in the last year (OR 1.66, 95% CI 1.53-1.80), and having had some disease (such as heart disease, cancer, asthma, etc; OR 1.29, 95% CI 1.18-1.41) also positively predicted eHealth use. Self-rated health status did not significantly influence eHealth use. Taking some action following eHealth use was predicted with the variables of being a woman (OR 1.16, 95% CI 1.07-1.27), being ... Article in Journal/Newspaper Tromsø University of Tromsø: Munin Open Research Archive Norway Tromsø JMIR Medical Informatics 8 3 e13106
spellingShingle VDP::Medical disciplines: 700::Health sciences: 800::Health service and health administration research: 806
VDP::Medisinske Fag: 700::Helsefag: 800::Helsetjeneste- og helseadministrasjonsforskning: 806
Wynn, Rolf
Oyeyemi, Sunday Oluwafemi
Budrionis, Andrius
Ruiz, Luis Marco
Yigzaw, Kassaye Yitbarek
Bellika, Johan Gustav
Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
title Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
title_full Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
title_fullStr Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
title_full_unstemmed Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
title_short Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
title_sort electronic health use in a representative sample of 18,497 respondents in norway (the seventh tromsø study - part 1): population-based questionnaire study
topic VDP::Medical disciplines: 700::Health sciences: 800::Health service and health administration research: 806
VDP::Medisinske Fag: 700::Helsefag: 800::Helsetjeneste- og helseadministrasjonsforskning: 806
topic_facet VDP::Medical disciplines: 700::Health sciences: 800::Health service and health administration research: 806
VDP::Medisinske Fag: 700::Helsefag: 800::Helsetjeneste- og helseadministrasjonsforskning: 806
url https://hdl.handle.net/10037/18561
https://doi.org/10.2196/13106