Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Dec 12, 2018
Open Peer Review Period: Dec 17, 2018 - Feb 11, 2019
Date Accepted: Oct 22, 2019
(closed for review but you can still tweet)
E-health use in a representative sample of 18,497 respondents in Norway: Findings from the 7th population-based Tromsø Study, Part 1
ABSTRACT
Background:
E-health services may help people obtain information and manage their health. E-health services are gaining attention as technology improves and increasing strains are put on the traditional health services. We present findings from the first representative large-scale population-based study of e-health use in Norway.
Objective:
To examine the use of e-health in a population above 40 years, predictors of e-health use, and predictors of taking action following use of the e-health services.
Methods:
Data were collected through a questionnaire given to participants in the Tromsø 7 population study. The study involved a representative sample of the Norwegian population aged above 40 years. A subset of the larger questionnaire was related specifically to e-health use. Data were analyzed by means of logistic regression analyses.
Results:
Approximately half (52.7%) of the 18,497 respondents had used some form of e-health during the last year. Sixty point two percent of the 9,701 who had responded to a question about taking some form of action based on information gained from using e-health services had done so. 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 higher education (tertiary/long, OR=3.77, 95%CI=3.40-4.19), and having higher income (>1 million NOK, OR=2.19, 95% CI=1.77-2.70) all positively predicted using e-health. Not living with a spouse (OR=1.14, 95%CI=1.04-1.25), having seen a 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 e-health use. Self-rated health status did not significantly influence e-health use. Taking some action following e-health use was predicted by 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 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 ever having had a disease (such as heart disease, cancer or asthma) (OR=1.26, 95%CI=1.14-1.39).
Conclusions:
E-health appears to be an important supplement to traditional health services especially for the more resourceful. Being a woman, younger, having a 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.
Citation
Per the author's request the PDF is not available.
Copyright
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