Impact of the use of electronic health tools on the psychological and emotional well-being of electronic health service users (The Seventh Tromsø Study - Part 3): Population-based questionnaire study
| Autor: | Andrius Budrionis, Luis Marco-Ruiz, Johan Gustav Bellika, Sunday Oluwafemi Oyeyemi, Kassaye Yitbarek Yigzaw, Rolf Wynn, Svein Bergvik |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Telemedicine 020205 medical informatics Cost effectiveness media_common.quotation_subject Emotions Applied psychology Population education confused reassured Health Informatics 02 engineering and technology 03 medical and health sciences 0302 clinical medicine Tromsø study Surveys and Questionnaires anxious Health care 0202 electrical engineering electronic engineering information engineering eHealth Humans VDP::Medical disciplines: 700::Health sciences: 800::Health service and health administration research: 806 030212 general & internal medicine health-related internet use Aged media_common Aged 80 and over Original Paper education.field_of_study VDP::Medisinske Fag: 700::Helsefag: 800::Helsetjeneste- og helseadministrasjonsforskning: 806 effect business.industry knowledgeable Middle Aged Service provider health information Emotional well-being Feeling Female business Psychology |
| Zdroj: | Journal of Medical Internet Research |
| Popis: | BackgroundElectronic health (eHealth) has been described as a silver bullet for addressing how challenges of the current health care system may be solved by technological solutions in future strategies and visions for modern health care. However, the evidence of its effects on service quality and cost effectiveness remains unclear. In addition, patients’ psychological and emotional reactions to using eHealth tools are rarely addressed by the scientific literature.ObjectiveThis study aimed to assess how the psychological and emotional well-being of eHealth service users is affected by the use of eHealth tools.MethodsWe analyzed data from a population-based survey in Norway, conducted in the years 2015-2016 and representing 10,604 eHealth users aged over 40 years, to identify how the use of eHealth tools was associated with feeling anxious, confused, knowledgeable, or reassured. Associations between these four emotional outcomes and the use of four types of eHealth services (Web search engines, video search engines, health apps, and social media) were analyzed using logistic regression models.ResultsThe use of eHealth tools made 72.41% (6740/9308) of the participants feel more knowledgeable and 47.49% (4421/9308) of the participants feel more reassured about their health status. However, 25.69% (2392/9308) reported feeling more anxious and 27.88% (2595/9308) reported feeling more confused using eHealth tools. A high level of education and not having a full-time job were associated with positive reactions and emotions (feeling more knowledgeable and reassured), whereas low self-reported health status and not having enough friends who could provide help and support predicted negative reactions and emotions (ie, feeling anxious and confused). Overall, the positive emotional effects of eHealth use (feeling knowledgeable and reassured) were relatively more prevalent among users aged over 40 years than the negative emotional effects (ie, feeling anxious and confused). About one-fourth of eHealth users reported being more confused and anxious after using eHealth services.ConclusionsThe search for health information on the internet can be motivated by a range of factors and needs (not studied in this study), and people may experience a range of reactions and feelings following health information searching on the Web. Drawing on prior studies, we categorized reactions as positive and negative reactions. Some participants had negative reactions, which is challenging to resolve and should be taken into consideration by eHealth service providers when designing services (ie, including concrete information about how users can get more help and support). There is a need for more studies examining a greater range of reactions to online health information and factors that might predict negative reactions to health information on the Web. |
| Databáze: | OpenAIRE |
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