Accepted for/Published in: JMIR Medical Education
Date Submitted: Jul 1, 2024
Date Accepted: May 13, 2025
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Health Workers’ Perspectives on Mobile Healthcare Learning Stickiness in Indonesia: Quantitative and Qualitative Approaches
ABSTRACT
Background:
The Doctor-to-Doctor (D2D) application is a mobile healthcare learning (m-learning) application that aims to support continuous learning programs, often called continuous medical education. One of the metrics of m-learning success is the average amount of time spent each month on the application, which is a component of stickiness, the tendency of users to use applications repeatedly. Stickiness metrics are important because they have a direct effect on user retention.
Objective:
This study aims to determine the factors that affect user stickiness of D2D. The research framework is built on the stimulus-organism-response theory.
Methods:
This study uses a mixed methods approach with 520 health worker respondents, including general practitioners, dentists, specialists, and medical students, as users of the D2D application. Quantitative data processing was analyzed using covariance-based structural equation modeling, while qualitative data analysis was conducted using the content analysis method.
Results:
This study found that cognitive and emotional applications affected health workers’ stickiness in m-learning. On the other hand, factors related to the functionality of the application and health workers’ experience have been proven to affect cognitive and emotional applications.
Conclusions:
The results of this study will help m-learning service providers increase user stickiness in m-learning.
Citation
