SynthesisJournal of medical systems2015
Empirical studies on usability of mHealth apps: a systematic literature review.
Synthesis in Journal of medical systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers, 19 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
240 citing papers in PubMed, 19 syntheses or guidelines pooled it.
- Which criteria are important in usability evaluation of mHealth applications: an umbrella review.BMC medical informatics and decision making · 2024Pooled it
- Usability Assessment Methods for Mobile Apps for Physical Rehabilitation: Umbrella Review.JMIR mHealth and uHealth · 2024Pooled it
- Design Guidelines of Mobile Apps for Older Adults: Systematic Review and Thematic Analysis.JMIR mHealth and uHealth · 2023Pooled it
- Efficacy of stand-alone digital mental health applications for anxiety and depression: A meta-analysis of randomized controlled trials.Journal of psychiatric research · 2023Pooled it
- Barriers to and Facilitators of Using eHealth to Support Gestational Diabetes Mellitus Self-management: Systematic Literature Review of Perceptions of Health Care Professionals and Women With Gestational Diabetes Mellitus.Journal of medical Internet research · 2022Pooled it
- Rapid systematic review on developing web-based interventions to support people affected by cancer.BMJ open · 2022Pooled it
- How to design font size for older adults: A systematic literature review with a mobile device.Frontiers in psychology · 2022Pooled it
- A Review of Mortality Risk Prediction Models in Smartphone Applications.Journal of medical systems · 2021Pooled it
- How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review.Journal of medical Internet research · 2021Pooled it
- eHealth in Geriatric Rehabilitation: Systematic Review of Effectiveness, Feasibility, and Usability.Journal of medical Internet research · 2021Pooled it
- Gait and Balance Assessments using Smartphone Applications in Parkinson's Disease: A Systematic Review.Journal of medical systems · 2021Pooled it
- Effectiveness of eHealth Nutritional Interventions for Middle-Aged and Older Adults: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Comprehensively addressing postpartum maternal health: a content and image review of commercially available mobile health apps.BMC pregnancy and childbirth · 2021Pooled it
- Towards Understanding the Usability Attributes of AI-Enabled eHealth Mobile Applications.Journal of healthcare engineering · 2021Pooled it
- Mobile Apps to Reduce Tobacco, Alcohol, and Illicit Drug Use: Systematic Review of the First Decade.Journal of medical Internet research · 2020Pooled it
- The Effectiveness of Self-Management of Hypertension in Adults Using Mobile Health: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2020Pooled it
- Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Patients' Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies.JMIR mHealth and uHealth · 2019Pooled it
- Criteria for assessing the quality of mHealth apps: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Predicting clinical outcomes in a blended care intervention for early psychosis: Acceptance and Commitment Therapy in Daily-Life (ACT-DL).Translational psychiatry · 2025Trial
180 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The release of smartphones and tablets, which offer more advanced communication and computing capabilities, has led to the strong emergence of mHealth on the market. mHealth systems are being used to improve patients' lives and their health, in addition to facilitating communication between doctors and patients. Researchers are now proposing mHealth applications for many health conditions such as dementia, autism, dysarthria, Parkinson's disease, and so on. Usability becomes a key factor in the adoption of these applications, which are often used by people who have problems when using mobile devices and who have a limited experience of technology. The aim of this paper is to investigate the empirical usability evaluation processes described in a total of 22 selected studies related to mHealth applications by means of a Systematic Literature Review. Our results show that the empirical evaluation methods employed as regards usability could be improved by the adoption of automated mechanisms. The evaluation processes should also be revised to combine more than one method. This paper will help researchers and developers to create more usable applications. Our study demonstrates the importance of adapting health applications to users' need.
Indexed as
Identifiers
25600193What 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.