ArticleInternational journal of environmental research and public health2022
Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- The Impact of Chatbot Type and Normative Messaging on Chatbot Usage Intention Based on the Health Technology Acceptance Model: Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology.Scientific reports · 2024Article
- The Perception of Health Care Practitioners Regarding Telemedicine During COVID-19 in Saudi Arabia: Mixed Methods Study.JMIR formative research · 2023Article
- Article
- Comment on Alharbi et al. Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach.International journal of environmental research and public health · 2022Article
- Community Services and Social Involvement in COVID-19 Governance: Evidence from China.International journal of environmental research and public health · 2022Article
- COVID Police: Role of Ajman Police During Initial Lockdown.Frontiers in psychology · 2022Article
- Intention to continue using corporate wellness mHealth apps in Thailand: A health belief model approach.Digital healthArticle
- Evaluating user satisfaction and engagement in mHealth: Insights from the Integrated Digital Health Engagement Model (IDHEM).Digital healthArticle
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
This study aimed to investigate the adoption of the Sehha, Mawid, and Tetamman mobile health applications during the COVID-19 pandemic in Saudi Arabia. The present study investigated factors influencing app use intention based on the Health Belief Model (HBM) approach. This study was conducted using a sample of 176 participants from the Riyadh and Makkah regions during the lockdown in May 2020. This study uses structural equation modeling for data collected using SmartPLS 3.3.9 (GmbH, Oststeinbek, Germany) to examine the effect of constructs on the model. The most important predictor was the perceived benefits of the mobile health apps, followed by self-efficacy. The perceived barriers and cues to action have no significant effect on behavioral intention. The perceived benefits and self-efficacy as keys can provide an overview to the government and to health organizations for taking into account the most important factors of the adoption of mobile health apps, meaning that the developer must adjust to the characteristics of the community of people that need applications that provide many benefits and have an impact.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.