Modelling and Predicting eHealth Usage in Europe: A Multidimensional Approach From an Online Survey of 13,000 European Union Internet Users
| Autor: | Ivan Soler-Ramos, Francesc Saigí-Rubió, Ángel Díaz-Chao, Joan Torrent-Sellens |
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| Rok vydání: | 2016 |
| Předmět: |
Male
020205 medical informatics atención sanitaria health drivers 02 engineering and technology structural equation modelling information and communication technologies Logistic regression 0302 clinical medicine Surveys and Questionnaires Health care modelat d'equació estructural 0202 electrical engineering electronic engineering information engineering actitud sanitària Medicine 030212 general & internal medicine atenció sanitària media_common Telemedicina -- Unió Europea Països de la health barriers Middle Aged health care Telemedicine health information Europe actitud sanitaria conductores de la salud empoderament de la salut Female The Internet Europa Attitude to Health Adult health attitude modelado de ecuaciones estructurales ús d'eSalut Adolescent uso d'eSalud education barreras sanitarias Health Informatics Telemedicina -- Unión Europea Países de la barreres sanitàries empoderamiento de la salud Structural equation modeling 03 medical and health sciences Nursing eHealth Humans media_common.cataloged_instance European Union European union eHealth usage Medical telematics -- European Union countries información sanitaria Original Paper Internet TIC business.industry Odds ratio health empowerment ICT informació sanitària business conductors de la salut Demography |
| Zdroj: | O2, repositorio institucional de la UOC Universitat Oberta de Catalunya (UOC) Journal of Medical Internet Research |
| ISSN: | 1438-8871 |
| DOI: | 10.2196/jmir.5605 |
| Popis: | Background: More advanced methods and models are needed to evaluate the participation of patients and citizens in the shared health care model that eHealth proposes. Objective: The goal of our study was to design and evaluate a predictive multidimensional model of eHealth usage. Methods: We used 2011 survey data from a sample of 13,000 European citizens aged 16-74 years who had used the Internet in the previous 3 months. We proposed and tested an eHealth usage composite indicator through 2-stage structural equation modelling with latent variables and measurement errors. Logistic regression (odds ratios, ORs) to model the predictors of eHealth usage was calculated using health status and sociodemographic independent variables. Results: The dimensions with more explanatory power of eHealth usage were health Internet attitudes, information health Internet usage, empowerment of health Internet users, and the usefulness of health Internet usage. Some 52.39% (6811/13,000) of European Internet users' eHealth usage was more intensive (greater than the mean). Users with long-term health problems or illnesses (OR 1.20, 95% CI 1.12-1.29) or receiving long-term treatment (OR 1.11, 95% CI 1.03-1.20), having family members with long-term health problems or illnesses (OR 1.44, 95% CI 1.34-1.55), or undertaking care activities for other people (OR 1.58, 95% CI 1.40-1.77) had a high propensity toward intensive eHealth usage. Sociodemographic predictors showed that Internet users who were female (OR 1.23, 95% CI 1.14-1.31), aged 25-54 years (OR 1.12, 95% CI 1.05-1.21), living in larger households (3 members: OR 1.25, 95% CI 1.15-1.36; 5 members: OR 1.13, 95% CI 0.97-1.28; >= 6 members: OR 1.31, 95% CI 1.10-1.57), had more children 65 years of age (1 member: OR 1.33, 95% CI 1.18-1.50; >= 4 members: OR 1.82, 95% CI 0.54-6.03) had a greater propensity toward intensive eHealth usage. Likewise, users residing in densely populated areas, such as cities and large towns (OR 1.17, 95% CI 1.09-1.25), also had a greater propensity toward intensive eHealth usage. Educational levels presented an inverted U shape in relation to intensive eHealth usage, with greater propensities among those with a secondary education (OR 1.08, 95% CI 1.01-1.16). Finally, occupational categories and net monthly income data suggest a higher propensity among the employed or self-employed (OR 1.07, 95% CI 0.99-1.15) and among the minimum wage stratum, earning |
| Databáze: | OpenAIRE |
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