ReviewNPJ digital medicine2022
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis.
Review in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Pooled it
- Willingness to pay for National Health Insurance Services and Associated Factors in Africa and Asia: a systematic review and meta-analysis.Frontiers in public health · 2024Pooled it
- Mobile Phone-Based Interventions for Smoking Cessation Among Young People: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2023Pooled it
- Exploring facilitators and barriers of the sustainable acceptance of e-health system solutions in Ethiopia: A systematic review.PloS one · 2023Pooled it
- Digital solutions, real-world challenges: lessons from mHealth trials in oncology.Frontiers in digital health · 2025Trial
- Patient and Clinician Attitudes Toward Mobile Health Apps: Qualitative Study.JMIR mHealth and uHealth · 2026Article
- Exploring Self-Management-Based Mobile Health User Typologies and Associations Between User Types and Satisfaction With Key Mobile Health Functions: Comparative Study of Various Fitness and Weight Management App User Types.JMIR medical informatics · 2026Article
- Factors Influencing Continuance Intention for Online Consultations Among Survivors of Cancer: Grounded Theory Study.Journal of medical Internet research · 2026Article
- Evaluating a Website on Learning Disorders for Parents and Learning Therapists: Observational Mixed Methods Study.JMIR formative research · 2025Observational
- User Satisfaction With Pregnancy Management Apps in Mainland China: User-Generated Content Analysis and Text Mining Study.Journal of medical Internet research · 2025Article
- A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring.Nature biomedical engineering · 2025Review
- Bridging UTAUT and HBM: determinants of wearable device adoption among chronic disease patients.Frontiers in public health · 2025Article
- Active role of participants in neuroempowerment training and supportive neurotechnologies: a theoretical-methodological perspective.Frontiers in psychology · 2025Article
- Quality factors affecting the continued use of mobile health apps in ethnic minority regions of Southwest China using PLS-SEM and ANN.Scientific reports · 2024Article
- Exploring Long-Term Determinants and Attitudes Toward Smartphone-Based Commercial Health Care Applications Among Patients With Cancer.JCO clinical cancer informatics · 2024Article
- Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review.JMIR mental health · 2024Article
- Surplus value quantification of overdue medical devices based on Kohonen network algorithm.Scientific reports · 2024Article
- Characterization of adults concerning the use of a hypothetical mHealth application addressing stress-overeating: an online survey.BMC public health · 2024Article
- Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study.JMIR mHealth and uHealth · 2024Article
- Digital interventions to promote psychological resilience: a systematic review and meta-analysis.NPJ digital medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The mobile health (mHealth) industry is an enormous global market; however, the dropout or continuance of mHealth is a major challenge that is affecting its positive outcomes. To date, the results of studies on the impact factors have been inconsistent. Consequently, research on the pooled effects of impact factors on the continuance intention of mHealth is limited. Therefore, this study aims to systematically analyze quantitative studies on the continuance intention of mHealth and explore the pooled effect of each direct and indirect impact factor. Until October 2021, eight literature databases were searched. Fifty-eight peer-reviewed studies on the impact factors and effects on continuance intention of mHealth were included. Out of the 19 direct impact factors of continuance intention, 15 are significant, with attitude (β = 0.450; 95% CI: 0.135, 0.683), satisfaction (β = 0.406; 95% CI: 0.292, 0.509), health empowerment (β = 0.359; 95% CI: 0.204, 0.497), perceived usefulness (β = 0.343; 95% CI: 0.280, 0.403), and perceived quality of health life (β = 0.315, 95% CI: 0.211, 0.412) having the largest pooled effect coefficients on continuance intention. There is high heterogeneity between the studies; thus, we conducted a subgroup analysis to explore the moderating effect of different characteristics on the impact effects. The geographic region, user type, mHealth type, user age, and publication year significantly moderate influential relationships, such as trust and continuance intention. Thus, mHealth developers should develop personalized continuous use promotion strategies based on user characteristics.
Identifiers
What OpenQuestion holds
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.