ArticleEuropean medical journal. Innovations2017
THE FUTURE OF MOBILE HEALTH APPLICATIONS AND DEVICES IN CARDIOVASCULAR HEALTH.
Article in European medical journal. Innovations, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Smartphone detection of atrial fibrillation using photoplethysmography: a systematic review and meta-analysis.Heart (British Cardiac Society) · 2022Pooled it
- The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2017Pooled it
- Trial
- Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease.Cureus · 2024Review
- Management of Onsite and Remote Communication in Oncology Hospitals: Data Protection in an Era of Rapid Technological Advances.Journal of personalized medicine · 2023Article
- Automated selection of changepoints using empiricalJAMIA open · 2022Article
- Applications of Medical Digital Technologies for Noncommunicable Diseases for Follow-Up during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Use of video-based telehealth services using a mobile app for workers in underserved areas during the COVID-19 pandemic: A prospective observational study.International journal of medical informatics · 2022Observational
- Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study.JMIR cardio · 2022Article
- A User-Centered Chatbot (Wakamola) to Collect Linked Data in Population Networks to Support Studies of Overweight and Obesity Causes: Design and Pilot Study.JMIR medical informatics · 2021Article
- Development and Feasibility of a Mobile Health-Supported Comprehensive Intervention Model (CIMmH) for Improving the Quality of Life of Patients With Esophageal Cancer After Esophagectomy: Prospective, Single-Arm, Nonrandomized Pilot Study.Journal of medical Internet research · 2020Article
- Rams Have Heart, a Mobile App Tracking Activity and Fruit and Vegetable Consumption to Support the Cardiovascular Health of College Students: Development and Usability Study.JMIR mHealth and uHealth · 2020Article
- Variable agreement between wearable heart rate monitors during exercise in cystic fibrosis.ERJ open research · 2019Article
- Chronic Diseases Management Using Digital Health Technologies.Oman medical journal · 2019Article
- The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review.JMIR mHealth and uHealth · 2019Review
- Article
- Accuracy of a Wrist-Worn Heart Rate Sensing Device during Elective Pediatric Surgical Procedures.Children (Basel, Switzerland) · 2018Article
- Enhancing User Experience Through User Study: Design of an mHealth Tool for Self-Management and Care Engagement of Cardiovascular Disease Patients.JMIR cardio · 2018Article
- mHealth Intervention Promoting Cardiovascular Health Among African-Americans: Recruitment and Baseline Characteristics of a Pilot Study.JMIR research protocols · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Mobile health (mHealth) is the utilisation of mobile technologies in healthcare and has particular relevance in improving lifestyle behaviours which may ultimately reduce cardiovascular disease risk. Various intervention studies for example integrate self-monitoring of diet and physical activity with text messaging systems to improve intermediate outcomes. Currently the future progress of mHealth technologies in formal diagnostic and therapeutic roles is pending and includes the need to validate and standardise accelerometer and heart rate data from various devices. Data also needs to be integrated from such devices into the medical record system to facilitate communication between providers and patients. Although short-term behaviour changes have been found with technologies such as Fitbit® (Fitbit, Inc., San Francisco, California, USA), whether such technologies/interventions lead to sustained behaviour change and reduced risk of myocardial infarction and death remains to be seen.
Indexed as
Identifiers
28191545PMC5298843W2746635966What 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.