ArticleTechnology in society2022
Users' intention to continue using mHealth services: A DEMATEL approach during the COVID-19 pandemic.
Article in Technology in society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Uncovering the hierarchical determinants of continuous usage in online health communities: integrating meta-analysis with FUZZY-DEMATEL-AISM.Scientific reports · 2026Pooled it
- Unlocking the road to entrepreneurial success: quality drivers and digital competence in cloud computing adoption.Scientific reports · 2026Article
- What Key Factors Affect Patient Satisfaction on Online Medical Consultation Platforms? A Case Study from China.Healthcare (Basel, Switzerland) · 2025Article
- Reveal the dynamics of mobile health services continuance intention: effects of expectation, confirmation, and chronic disease.Frontiers in public health · 2025Article
- Determining information system end-user satisfaction and continuance intension with a unified modeling approach.Scientific reports · 2024Article
- Applying the Participatory Slow Design Approach to a mHealth Application for Family Caregivers in Pediatric Ear, Nose, and Throat Surgery.Healthcare (Basel, Switzerland) · 2024Article
- Counseling for Health: How Psychological Distance Influences Continuance Intention towards Mobile Medical Consultation.International journal of environmental research and public health · 2023Article
- The Impact of Fitness Influencers on a Social Media Platform on Exercise Intention during the COVID-19 Pandemic: The Role of Parasocial Relationships.International journal of environmental research and public health · 2023Article
- The intention to use mHealth applications among Dutch older adults prior and during the COVID pandemic.Frontiers in public health · 2023Article
- Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach.Heliyon · 2022Article
- Feasibility of a Theory-Based, Online Tailored Message Program to Motivate Healthier Behaviors in College Women.Nutrients · 2022Article
- An intuitionistic fuzzy decision support system for COVID-19 lockdown relaxation protocols in India.Computers & electrical engineering : an international journal · 2022Article
- Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT.International journal of environmental research and public health · 2022Article
- How AI-powered consultation services in internet hospitals influence patient satisfaction: A structural analysis.Digital healthArticle
- Evaluating COVID-19 infection prevention measures in Malaysia: A fuzzy DEMATEL approach.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19) has changed the way we use and perceive online services. This study examined the influence of service quality factors during COVID-19 on individuals' intention to continue use mHealth services. A decision-making trial and evaluation laboratory (DEMATEL) approach was used to identify and analyse the relationships between service quality and individuals' intention to continue use mHealth during the COVID-19 pandemic. Individuals' direct, indirect, and interdependent behaviours in relation to service quality and continues use of mHealth were studied. A total of 126 respondents were involved in this study. The results identified several associations between service quality factors and individuals' continuous use of mHealth. The most important factor found to influence users' decision to continuously use mHealth was assurance, followed by hedonic benefits, efficiency, reliability, and content quality. The relevant cause-and-effect relationships were identified and the direction for quality improvement was discussed. The outcomes from this study can support healthcare policy makers to swiftly and widely respond to COVID-19 challenges. The findings provide fundamental insights for healthcare organisations to promote continuous use of mHealth among people by prioritising service improvements.
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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.