Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach

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.

Automated summary

This study investigates the adoption of mobile health applications during the COVID-19 pandemic in Saudi Arabia, focusing on the factors influencing app use intention based on the Health Belief Model. The findings indicate that perceived benefits and self-efficacy are the most important predictors, while perceived barriers and cues to action have no significant effect on behavioral intention.