An Integrated Model for Evaluating the Sustainability of Gamified Mobile Health Apps: An Instrument Development and Validation

Author:

Mustafa Abdulsalam Salihu1ORCID,Ali Nor’ashikin1,Dhillon Jaspaljeet Singh2,Sedera Darshana3

Affiliation:

1. College of Graduate Studies, Universiti Tenaga Nasional, Kajang 43000, Malaysia

2. College of Computing and Informatics, Universiti Tenaga Nasional, Kajang 43000, Malaysia

3. Faculty of Business, Law and Arts, Southern Cross University, East Lismore, NSW 2480, Australia

Abstract

Mobile health (mHealth) apps are designed to support health behavior outcomes and improve well-being. The existing body of literature confirms mHealth’s overall efficacy in promoting physical activity; however, more research on its utility in sustaining user engagement is needed. Understanding the determinants of an individual’s willingness to continue using mHealth is vital to improving the intervention’s success. This study developed a unified model and survey instrument adapted from extant literature while introducing new constructs to predict the sustained use of gamified mHealth. A pilot study was conducted to validate the survey instrument using 48 gamified fitness app users in Malaysia. The survey instrument was tested following rigorous guidelines for quantitative research in the information system context. According to the findings, the reliabilities of most measurement items met the criterion, and those items were retained. Overall, this paper contributes by integrating social comparison theory and the self-determination theory for sustaining user engagement with gamified mHealth through an extrinsic and intrinsic motivation perspective.

Funder

iRMC YCU Community Grant, University Tenaga Nasional

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference102 articles.

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2. Institute for Public Health (NIH), and Ministry of Health Malaysia (2020). Health and Morbidity Survey (NHMS) 2019: NCDs—Non-Communicable Diseases: Risk Factors and Other Health Problems.

3. A Machine Learning Approach for Obesity Risk Prediction;Ferdowsy;Curr. Res. Behav. Sci.,2021

4. World Health Organization 2020 Guidelines on Physical Activity and Sedentary Behaviour;Bull;Br. J. Sport. Med.,2020

5. Physical Activity, Inactivity, and Sedentary Behaviors: Definitions and Implications in Occupational Health;Thivel;Front. Public Health,2018

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