ReviewJMIR mHealth and uHealth2014
Comparison of mobile apps for the leading causes of death among different income zones: a review of the literature and app stores.
Review in JMIR mHealth and uHealth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 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
26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review.Biomedical engineering online · 2016Pooled it
- Cost-utility and cost-effectiveness studies of telemedicine, electronic, and mobile health systems in the literature: a systematic review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2015Pooled it
- mHealth: a strategic field without a solid scientific soul. a systematic review of pain-related apps.PloS one · 2014Pooled it
- Co-creation process of an app for people with rare diseases - a citizen science approach.Orphanet journal of rare diseases · 2025Article
- High engagement in mobile peer support is associated with better glycemic control in type 1 diabetes: A real-world study.Journal of diabetes investigation · 2022Article
- Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study.BMC geriatrics · 2022Article
- Telemedicine as a Means to an End, Not an End in Itself.Life (Basel, Switzerland) · 2022Article
- Creating a Digital Toolkit to Reduce Fatigue and Promote Quality of Life in Multiple Sclerosis: Participatory Design and Usability Study.JMIR formative research · 2021Article
- eHealth Applications to Support Independent Living of Older Persons: Scoping Review of Costs and Benefits Identified in Economic Evaluations.Journal of medical Internet research · 2021Article
- Assessing Digital Health Implementation for a Pediatric Chronic Pain Intervention: Comparing the RE-AIM and BIT Frameworks Against Real-World Trial Data and Recommendations for Future Studies.Journal of medical Internet research · 2020Article
- Digitizing a Face-to-Face Group Fatigue Management Program: Exploring the Views of People With Multiple Sclerosis and Health Care Professionals Via Consultation Groups and Interviews.JMIR formative research · 2019Article
- Exploring the Specific Needs of Persons with Multiple Sclerosis for mHealth Solutions for Physical Activity: Mixed-Methods Study.JMIR mHealth and uHealth · 2018Article
- Representation of People's Decisions in Health Information Systems.* A Complementary Approach for Understanding Health Care Systems and Population Health.Methods of information in medicine · 2017Article
- Description and Validation of TAVIApp: A Novel Mobile Application for Support of Physicians in the Management of Aortic Stenosis-Management of Aortic Stenosis with TAVIApp.BioMed research international · 2017Article
- A mobile system for the improvement of heart failure management: Evaluation of a prototype.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas.Journal of medical systems · 2016Article
- Adoption of Information and Communication Technologies for Early Detection of Breast and Cervical Cancers in Low- and Middle-Income Countries.Journal of global oncology · 2016Review
- Monitoring and Follow-up of Chronic Heart Failure: a Literature Review of eHealth Applications and Systems.Journal of medical systems · 2016Review
- Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation.JMIR mHealth and uHealth · 2016Review
- Information and Communication Technology-Powered Diabetes Self-Management Systems in China: A Study Evaluating the Features and Requirements of Apps and Patents.JMIR diabetes · 2016Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe advances achieved in technology, medicine, and communications in the past decades have created an excellent scenario for the improvement and expansion of eHeath and mHealth in particular. Mobile phones, smartphones, and tablets are exceptional means for the application of mobile health, especially for those diseases and health conditions that are the deadliest worldwide.
objectiveThe main aim of this paper was to compare the amount of research and the number of mobile apps dedicated to the diseases and conditions that are the leading causes of death according to the World Health Organization grouped by different income regions. These diseases and conditions were ischemic heart disease; stroke and other cerebrovascular diseases; lower respiratory infections; chronic obstructive pulmonary disease; diarrheal diseases; HIV/AIDS; trachea, bronchus, and lung cancers; malaria; and Alzheimer disease and other dementias.
methodsTwo reviews were conducted. In the first, the systems IEEE Xplore, Scopus, Web of Knowledge, and PubMed were used to perform a literature review of applications related to the mentioned diseases. The second was developed in the currently most important mobile phone apps stores: Google play, iTunes, BlackBerry World, and Windows Phone Apps+Games.
resultsSearch queries up to June 2013 located 371 papers and 557 apps related to the leading causes of death, and the following findings were obtained. Alzheimer disease and other dementias are included in the diseases with more apps, although it is not among the top 10 causes of death worldwide, whereas lower respiratory infections, the third leading cause of death, is one of the less researched and with fewer apps. Two diseases that are the first and second of low-income countries (lower respiratory infections and diarrheal diseases) have very little research and few commercial applications. HIV/AIDS, in the top 6 of low-income and middle-income zones, is one of the diseases with more research and applications, although it is not in the top 10 in high-income countries. Trachea, bronchus, and lung cancers are the third cause of death in high-income countries but are one of the least researched diseases with regard to apps.
conclusionsConcerning mobile apps, there is more work done in the commercial field than in the research field, although the distribution among the diseases is similar in both fields. In general, apps for common diseases of low- and middle-income countries are not as abundant as those for typical diseases of developed countries. Nevertheless, there are some exceptions such as HIV/AIDS, due to its important social conscience; and trachea, bronchus and lung cancers, which was totally unexpected.
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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.