ArticlePreventive medicine reports2016
Electronic health record-based assessment of cardiovascular health: The stroke prevention in healthcare delivery environments (SPHERE) study.
Article in Preventive medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03935282 (Assessing Effectiveness and Implementation of an EHR Tool to Assess Heart Health Among Survivors), which is not on this map. Cited by 18 papers.
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.
Assessing Effectiveness and Implementation of an EHR Tool to Assess Heart Health Among Survivors (AH-HA)
Who cites it
18 citing papers in PubMed, 35 citations in OpenAlex.
- Effect of Daily Avocado Intake on Cardiovascular Health Assessed by Life's Essential 8: An Ancillary Study of HAT, a Randomized Controlled Trial.Journal of the American Heart Association · 2025Trial
- Effectiveness of a Cardiovascular Health Electronic Health Record Application for Cancer Survivors in Community Oncology Practice: Results From WF-1804CD.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025Trial
- Improving Cardiovascular Health in a Pediatric Preventive Cardiology Practice.The Journal of pediatrics · 2021Trial
- mHealth technologies in research studying cardiovascular health in cancer: A systematic review.PLOS digital health · 2025Article
- Oncology Provider and Patient Perspectives on a Cardiovascular Health Assessment Tool Used During Posttreatment Survivorship Care in Community Oncology (Results from WF-1804CD): Mixed Methods Observational Study.Journal of medical Internet research · 2025Observational
- Multilevel factors influence the use of a cardiovascular disease assessment tool embedded in the electronic health record in oncology care.Translational behavioral medicine · 2025Article
- Healthcare dashboard technologies and data visualization for lipid management: A scoping review.BMC medical informatics and decision making · 2024Article
- Cardiovascular health assessment in routine cancer follow-up in community settings: survivor risk awareness and perspectives.BMC cancer · 2024Article
- Using the sociotechnical model to conduct a focused usability assessment of a breast reconstruction decision tool.BMC medical informatics and decision making · 2023Article
- Review
- Nutri: A Behavioral Science-Based Clinical Decision Support for Chronic Disease Management.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Addressing cancer survivors' cardiovascular health using the automated heart health assessment (AH-HA) EHR tool: Initial protocol and modifications to address COVID-19 challenges.Contemporary clinical trials communications · 2021Article
- Cardiovascular Assessment Tool for Breast Cancer Survivors and Oncology Providers: Usability Study.JMIR cancer · 2021Article
- Review
- Development of a Health Information Technology Tool for Behavior Change to Address Obesity and Prevent Chronic Disease Among Adolescents: Designing for Dissemination and Sustainment Using the ORBIT Model.Frontiers in digital health · 2021Article
- Cardiovascular Health Among Pregnant Women, Aged 20 to 44 Years, in the United States.Journal of the American Heart Association · 2020Article
- Cardiovascular Health Trends in Electronic Health Record Data (2012-2015): A Cross-Sectional Analysis of The Guideline Advantage™.EGEMS (Washington, DC) · 2019Article
- Oncologists' Perceptions of a Digital Tool to Improve Cancer Survivors' Cardiovascular Health.ACI open · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
< 3% of Americans have ideal cardiovascular health (CVH). The primary care encounter provides a setting in which to conduct patient-provider discussions of CVH. We implemented a CVH risk assessment, visualization, and decision-making tool that automatically populates with electronic health record (EHR) data during the encounter in order to encourage patient-centered CVH discussions among at-risk, yet under-treated, populations. We quantified five of the seven CVH behaviors and factors that were available in The Ohio State University Wexner Medical Center's EHR at baseline (May-July 2013) and compared values to those ascertained at one-year (May-July 2014) among intervention (n = 109) and control (n = 42) patients. The CVH of women in the intervention clinic improved relative to the metrics of body mass index (16% to 21% ideal) and diabetes (62% to 68% ideal), but not for smoking, total cholesterol, or blood pressure. Meanwhile, the CVH of women in the control clinic either held constant or worsened slightly as measured using those same metrics. Providers need easy-to-use tools at the point-of-care to help patients improve CVH. We demonstrated that the EHR could deliver such a tool using an existing American Heart Association framework, and we noted small improvements in CVH in our patient population. Future work is needed to assess how to best harness the potential of such tools in order to have the greatest impact on the CVH of a larger patient population.
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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.