Evidence map›Paper›PMID 32134395›Full record

ArticleJMIR medical informatics2020

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

Rolf Wynn, Sunday Oluwafemi Oyeyemi, Andrius Budrionis, Luis Marco-Ruiz, Kassaye Yitbarek Yigzaw, Johan Gustav Bellika

Abstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Review
  2. Digital Health Literacy of People with Intellectual Disabilities: A Scoping Review to Map the Evidence.International journal of environmental research and public health · 2025
    Article
  3. Electronic Health Literacy Among Baby Boomers: A Typology.Health literacy research and practice · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Estimating Patient Empowerment and Nurses' Use of Digital Strategies: eSurvey Study.International journal of environmental research and public health · 2021
    Article
  11. Article
  12. Article
  13. Usage of eHealth/mHealth Services among Young Czech Adults and the Impact of COVID-19: An Explorative Survey.International journal of environmental research and public health · 2021
    Article
  14. Article
  15. Special Issue on E-Health Services.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rolf WynnDepartment of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0002-2254-3343
Sunday Oluwafemi OyeyemiDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0002-5689-5152
Andrius BudrionisNorwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0002-9525-1923
Luis Marco-RuizNorwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0001-6349-3162
Kassaye Yitbarek YigzawNorwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0001-7068-117X
Johan Gustav BellikaDepartment of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0003-2893-6989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic 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.

objectiveThe 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.

methodsData 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.

resultsApproximately 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 younger (40-49 year age group: OR 1.72, 95% CI 1.34-2.22), having a higher education (tertiary/long: OR 1.65, 95% CI 1.42-1.92), having seen a GP in the last year (OR 1.58, 95% CI 1.41-1.77), and having ever had a disease (such as heart disease, cancer or asthma; OR 1.26, 95% CI 1.14-1.39).

conclusionseHealth appears to be an essential supplement to traditional health services for those aged above 40 years old, and especially so for the more resourceful. Being a woman, being younger, having higher education, having had a disease, and having seen a GP in the last year all positively predicted using the internet to get health information and taking some action based on this information.

Indexed as

adoptiondigital healtheHealthhealth appsinternetpopulation studysocial mediaTromsø studyvideo serviceWeb search engine

Identifiers

PMID32134395
PMCPMC7082740

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.