ReviewCurrent atherosclerosis reports2024
Bridging the Gap: How Accounting for Social Determinants of Health Can Improve Digital Health Equity in Cardiovascular Medicine.
Review in Current atherosclerosis reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Determinants and Health Outcomes of Digital Health Literacy in Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Design and rationale of the my heart counts cardiovascular health study: a large-scale, fully digital biobank, and randomized trial of large language model-driven coaching of physical activity.American journal of preventive cardiology · 2026Article
- Review
- Operationalizing Digital Health Equity in Artificial Intelligence-Enabled Patient Decision Aids for Older Adults: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Article
- Advancing cardio-obstetric care through digital health technologies: A narrative review.ESC heart failure · 2025Review
- Speaking the Language of Inclusion: Examining English Language Requirements in Cardiovascular Digital Health Trials.JACC. Advances · 2025Article
- AI and Digital Health: Personalizing Physical Activity to Improve Population Health.Circulation. Cardiovascular quality and outcomes · 2025Article
- Fine-tuning Large Language Models in Behavioral Psychology for Scalable Physical Activity Coaching.medRxiv : the preprint server for health sciences · 2025Article
- Leveraging large language models to bridge the digital divide in cardiovascular health research.NPJ cardiovascular health · 2025Article
- Fine-tuning LLMs in behavioral psychology for scalable health coaching.NPJ cardiovascular health · 2025Article
- Article
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
Abstract
purpose of reviewIn this review, we discuss the importance of digital health equity and how social determinants of health (and intersectionality with race, ethnicity, and gender) affect cardiovascular health-related outcomes in digital health trials. We propose strategies to improve digital health equity as we move to a digitally-connected world for healthcare applications and beyond. RECENT
findingsDigital health has immense promise to improve population health by reaching individuals in their homes, at their preferred times. However, initial data demonstrate decreased patient engagement and worse cardiovascular outcomes for racial and ethnic minorities, leading to unequal uptake of digital health technologies. In addition, while women generally have higher uptake of technology, they are less likely to be referred by clinicians for digital health interventions. We highlight several exemplar trials and analyze their methodology for replication in future digital health research. The promise of digital health equity has not been reached due to exclusionary practices. Specific focus must be placed on societal/governmental policies that enable digital inclusion, particularly of racial and ethnic minority populations and women, to ensure that the expansion of digital health technologies does not exacerbate existing health disparities.
Indexed as
Identifiers
What Socratic 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 Socratic graph.