A public value-based model to understandpatients’ adoption of eHealth: Theoretical underpinnings and empirical application
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SAGE Publications
Abstract
Objective
The main objective of this study is to develop an eHealth adoption model based on patients’ perceptions of public value dimensions and empirically apply the model to understand the adoption of a governmental health app by Jordanian patients. The study attempts to contribute to overcoming the narrow focus of contemporary theories such as UTAUT and, ultimately, to designing more effective implementation strategies in order to address the current delays in global eHealth adoption.
Methods
We conducted a quantitative survey of 430 Jordanian patients, utilizing structural equation modeling (SEM) to process the empirical data. Specifically, we applied an SEM two-step approach that involved (a) evaluating the model-data fit through a review of the measurement model(s) and common method bias; and (b) analyzing the structural model.
Results
Our findings confirm that the proposed patients’ value scale is valid and reliable. Its five dimensions (hedonistic motivation, utilitarian motivation, social value, ethical public value, and public trust value) significantly correlate with patients’ public value, and the latter directly affects their use of eHealth apps, with habits mediating this relationship. Among the dimensions, hedonistic motivations tend to be prioritized over utilitarian ones. Ethical and trust values also play an essential role, particularly in how health technology handles patients’ data and upholds their dignity and self-esteem.
Conclusions
This study highlights the holistic nature of eHealth adoption by patients and the crucial role of public values in their use behavior. It provides useful insights for policymakers and developers.
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Bibliographic citation
Alhur M, Caamaño-Alegre J, Reyes-Santias F. A public value-based model to understand patients’ adoption of eHealth: Theoretical underpinnings and empirical application. DIGITAL HEALTH. 2024;10. doi:10.1177/20552076241272567
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https://doi.org/10.1177/20552076241272567Sponsors
This research has been funded with support from theUSC’s ECOAGRASOC research group
Rights
© The Author(s) 2024
Attribution-NonCommercial 4.0 International
Attribution-NonCommercial 4.0 International







