ArticleCurrent treatment options in cardiovascular medicine2015
Mobile Health Initiatives to Improve Outcomes in Primary Prevention of Cardiovascular Disease.
Article in Current treatment options in cardiovascular medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06615349 (DigiPall; a Randomized Controlled Trial of Digital Patient Reported Outcome and Biomarker Monitoring in Palliative Care), which is not on this map. Cited by 22 papers, 1 of them a synthesis 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.
DigiPall; a Randomized Controlled Trial of Digital Patient Reported Outcome and Biomarker Monitoring in Palliative Care
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mobile health as a viable strategy to enhance stroke risk factor control: A systematic review and meta-analysis.Journal of the neurological sciences · 2017Pooled it
- Associations of Demographic, Socioeconomic, and Cognitive Characteristics With Mobile Health Access: MESA (Multi-Ethnic Study of Atherosclerosis).Journal of the American Heart Association · 2022Observational
- RETRACTED: A Systematic Review of Personalized Health Applications through Human-Computer Interactions (HCI) on Cardiovascular Health Optimization.Journal of cardiovascular development and disease · 2022Review
- Investigator Experiences Using Mobile Technologies in Clinical Research: Qualitative Descriptive Study.JMIR mHealth and uHealth · 2021Article
- Big Data, Extracting Insights, Comprehension, and Analytics in Cardiology: An Overview.Journal of healthcare engineering · 2021Review
- Improving Heart Disease Risk Through Quality-Focused Diet Logging: Pre-Post Study of a Diet Quality Tracking App.JMIR mHealth and uHealth · 2020Article
- Potential Benefits and Risks Resulting From the Introduction of Health Apps and Wearables Into the German Statutory Health Care System: Scoping Review.JMIR mHealth and uHealth · 2020Article
- Promotion of Healthy Nutrition and Physical Activity Lifestyles for Teenagers: A Systematic Literature Review of The Current Methodologies.Journal of personalized medicine · 2020Review
- The compendium of self-enactable techniques to change and self-manage motivation and behaviour v.1.0.Nature human behaviour · 2020Article
- Connected Health Technology for Cardiovascular Disease Prevention and Management.Current treatment options in cardiovascular medicine · 2019Review
- Blood Pressure Assessment in Adults in Clinical Practice and Clinic-Based Research: JACC Scientific Expert Panel.Journal of the American College of Cardiology · 2019Review
- The Impact of the mKidney mHealth System on Live Donor Follow-Up Compliance: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2019Article
- Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study.JMIR mHealth and uHealth · 2019Article
- Prescription of physical activity in the management of high blood pressure in Australian general practices.Journal of human hypertension · 2019Article
- Assessing the Attitudes and Perceptions Regarding the Use of Mobile Health Technologies for Living Kidney Donor Follow-Up: Survey Study.JMIR mHealth and uHealth · 2018Article
- mHealth Technologies for Palliative Care Patients at the Interface of In-Patient to Outpatient Care: Protocol of Feasibility Study Aiming to Early Predict Deterioration of Patient's Health Status.JMIR research protocols · 2017Article
- A sneak peek into digital innovations and wearable sensors for cardiac monitoring.Journal of clinical monitoring and computing · 2017Review
- Article
- Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention.BMJ global health · 2016Article
- Engaging primary care providers in a mobile health strategy to support lifestyle change and blood pressure management.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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
opinion statementCardiovascular disease affects more than a third of American adults and is the leading cause of mortality in the USA. Over the last 40 years, several behavioral and medical risk factors have been recognized as major contributors to cardiovascular disease. Effective management of many of these risk factors, particularly behavioral risk factors, remains challenging. With the growth of mobile health (mHealth) technology, a variety of novel strategies are now available to facilitate the delivery of interventions directed at reducing these risk factors. In this review, we discuss recent clinical studies and technologic innovations leveraging smartphone devices, social media, and wearable health tracking devices to facilitate behavioral interventions directed at three important and highly prevalent behavioral risk factors for cardiovascular disease: smoking, physical inactivity, and sub-optimal nutrition. We believe this technology has significant potential to provide low-cost, scalable, and individualized tools to improve management of these important cardiovascular disease risk factors.
Indexed as
Identifiers
26474892What 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.