Electronic Health Record Portal Adoption: a cross country analysis

BMC Medical Informatics and Decision Making

Research Article

Tiago Oliveira¹  Jorge Tavares¹ 

[1] NOVA IMS, Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal;

关键词: UTAUT2;    Technology adoption;    eHealth;    Healthcare consumers;    Electronic Health Records;   

DOI  :  10.1186/s12911-017-0482-9

 received in 2016-09-01, accepted in 2017-06-06,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundThis study’s goal is to understand the factors that drive individuals to adopt Electronic Health Record (EHR) portals and to estimate if there are differences between countries with different healthcare models.MethodsWe applied a new adoption model using as a starting point the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) by incorporating the Concern for Information Privacy (CFIP) framework. To evaluate the research model we used the partial least squares (PLS) – structural equation modelling (SEM) approach. An online questionnaire was administrated in the United States (US) and Europe (Portugal). We collected 597 valid responses.ResultsThe statistically significant factors of behavioural intention are performance expectancy (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = 0.285; P < 0.01), effort expectancy (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = 0.160; P < 0.01), social influence (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = 0.198; P < 0.01), hedonic motivation (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = −0.141; P < 0.01), price value (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = 0.152; P < 0.01), and habit (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = 0.255; P < 0.01). The predictors of use behaviour are habit (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = 0.145; P < 0.01), and behavioural intention (β^\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$ \widehat{\beta} $$\end{document}total = 0.480; P < 0.01). Social influence, hedonic motivation, and price value are only predictors in the US group. The model explained 53% of the variance in behavioural intention and 36% of the variance in use behaviour.ConclusionsOur study identified critical factors for the adoption of EHR portals and significant differences between the countries. Confidentiality issues do not seem to influence acceptance. The EHR portals usage patterns are significantly higher in US compared to Portugal.

【 授权许可】

CC BY   
© The Author(s). 2017

【 图 表 】

12864_2017_3661_Article_IEq5.gif

12864_2017_4133_Article_IEq20.gif

12864_2017_3487_Article_IEq41.gif

12864_2017_4132_Article_IEq32.gif

12864_2015_2129_Article_IEq20.gif

12864_2016_3425_Article_IEq7.gif

12864_2015_2217_Article_IEq11.gif

12864_2016_3425_Article_IEq6.gif

12864_2016_2793_Article_IEq35.gif

12864_2017_4132_Article_IEq28.gif

12864_2015_2296_Article_IEq52.gif

12864_2017_4179_Article_IEq35.gif

12864_2016_2897_Article_IEq12.gif

12864_2016_3425_Article_IEq2.gif

12864_2016_3098_Article_IEq6.gif

12903_2017_385_Article_IEq5.gif

12888_2016_877_Article_IEq17.gif

12864_2017_3990_Article_IEq4.gif

12864_2017_3990_Article_IEq2.gif

12864_2016_2793_Article_IEq21.gif

12888_2016_877_Article_IEq13.gif

12864_2017_4179_Article_IEq24.gif

12864_2016_3258_Article_IEq2.gif

12888_2016_877_Article_IEq9.gif

12870_2017_1059_Article_IEq7.gif