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Factors Influencing the Adoption of Digital Health Apps: An Extended Technology Acceptance Model (TAM)

Factors Influencing the Adoption of Digital Health Apps: An Extended Technology Acceptance Model (TAM)
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Author(s): Kamel Mouloudj (University of Medea, Algeria), Ahmed Chemseddine Bouarar (University of Medea, Algeria), Dachel Martínez Asanza (National School of Public Health, Cuba & University of Medical Sciences of Havana, Cuba), Linda Saadaoui (European Business University, Luxembourg), Smail Mouloudj (University of Medea, Algeria & University of Salamanca, Spain), Anuli U. Njoku (Southern Connecticut State University, USA), Marian A. Evans (Southern Connecticut State University, USA)and Achouak Bouarar (University of Blida 1, Algeria)
Copyright: 2023
Pages: 17
Source title: Integrating Digital Health Strategies for Effective Administration
Source Author(s)/Editor(s): Ahmed Chemseddine Bouarar (University of Medea, Algeria), Kamel Mouloudj (University of Medea, Algeria)and Dachel Martínez Asanza (University of Medical Sciences of Havana, Cuba)
DOI: 10.4018/978-1-6684-8337-4.ch007

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Abstract

Mobile health apps have been widely considered in the healthcare sector as innovative channels to reach patients and their families. Accordingly, the aim of the chapter was to investigate factors that influence the customers' adoption of digital health apps in Algeria. The authors adopted an extended technology acceptance model (TAM) framework by integrating the constructs of perceived self-efficacy and trust. A structured questionnaire survey was used to collect data from 186 participants in five cities. Multiple linear regression analysis was used for data analysis. Findings show that perceived usefulness, attitudes, perceived self-efficacy, and perceived ease of use significantly and positively predicted customers' intention to use digital health apps. However, behavioural intention to use was not significantly and positively influenced by trust in digital health system. Moreover, results revealed that the extended TAM explained 60.1% of the variance of intention. The chapter provides valuable results concerning the determinants of adoption of digital health apps.

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