Modeling and predicting outcomes of eHealth usage by European physicians: Multidimensional approach from a survey of 9196 general practitioners

Autor: Francesc Saigí-Rubió, Ivan Soler-Ramos, Joan Torrent-Sellens, Ángel Díaz-Chao
Přispěvatelé: Universidad Rey Juan Carlos, Universitat Oberta de Catalunya. Estudis d'Economia i Empresa, Universitat Oberta de Catalunya. Estudis de Ciències de la Salut
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Male
020205 medical informatics
health drivers
Salud
02 engineering and technology
Logistic regression
information and communication technologies
atenció mèdica
0302 clinical medicine
Surveys and Questionnaires
Health care
0202 electrical engineering
electronic engineering
information engineering

Salut
030212 general & internal medicine
health care economics and organizations
media_common
Teamwork
health barriers
tecnologies de la informació i la comunicació
Middle Aged
salut electrònica
health care
Telemedicine
actitut mèdica
health information
Europe
conductores de la salud
Health
Female
ecuaciones estructurales
Europa
actitud médica
Adult
health attitude
salud electrónica
medicine.medical_specialty
Adolescent
media_common.quotation_subject
education
Health Informatics
barreras sanitarias
barreres sanitàries
structural equation modeling
Structural equation modeling
03 medical and health sciences
Young Adult
información médica
tecnologías de la información y la comunicación
atención médica
General Practitioners
informació mèdica
medicine
eHealth
Humans
Aged
Original Paper
Internet
apoderament en matèria de salut
business.industry
equacions estructurals
Odds ratio
Multidimensional model
health empowerment
Family medicine
Survey data collection
empoderamiento en materia de salud
business
conductors de la salut
Zdroj: O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Journal of Medical Internet Research
Popis: Background: The literature has noted the need to use more advanced methods and models to evaluate physicians’ outcomes in the shared health care model that electronic health (eHealth) proposes. Objective: The goal of our study was to design and evaluate a predictive multidimensional model of the outcomes of eHealth usage by European physicians. Methods: We used 2012-2013 survey data from a sample of 9196 European physicians (general practitioners). We proposed and tested two composite indicators of eHealth usage outcomes (internal practices and practices with patients) through 2-stage structural equation modeling. Logistic regression (odds ratios, ORs) to model the predictors of eHealth usage outcomes indicators were also calculated. Results: European general practitioners who were female (internal practices OR 1.15, 95% CI 1.10-1.20; practices with patients OR 1.19, 95% CI 1.14-1.24) and younger—aged
Databáze: OpenAIRE