ArticleContemporary clinical trials communications2021
Improving cardiovascular outcomes by using team-supported, EHR-leveraged, active management: Disseminating a successful quality improvement project.
Article in Contemporary clinical trials communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04587336 (Tailored Approaches to Reduce Distress and Improve Self-Management for Veterans With Diabetes), which is not on this map. Cited by 5 papers.
What it found
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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.
Tailored Approaches to Reduce Distress and Improve Self-Management for Veterans With Diabetes (TARDIS) - Survey & Qualitative Interview
Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Bridging the Gap: Multidisciplinary Decision Making to Address Systemic Barriers in Cardiovascular Care.Current cardiology reports · 2026Review
- Artificial Intelligence in Cardiovascular Medicine: A Giant Step in Personalized Medicine?Journal of personalized medicine · 2026Review
- Tailoring Chronic Disease Interventions to Meet Specific Needs of Women: A Case Example of a Hypertension Program.Women's health reports (New Rochelle, N.Y.) · 2025Article
- Population health interventions for cardiometabolic diseases in primary care: a scoping review and RE-AIM evaluation of current practices.Frontiers in medicine · 2023Article
- Intensifying approaches to address clinical inertia among cardiovascular disease risk factors: A narrative review.Patient education and counseling · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundUncontrolled blood pressure (BP) is common among Veterans. Rural Veterans are at risk for suboptimal care coordination as successful programs may be implemented at lower rates due to individual- and system-level factors. There is strong evidence to support the use of remotely delivered support and patient-generated data from home BP monitors and virtual BP visits to manage BP.
objectiveThe purpose of this project is to augment the current approach to addressing uncontrolled BP so that existing clinical staff can reach a larger patient population.
methodsOur project will address uncontrolled BP by leveraging team-based care, the Veteran's Health Administration Electronic Health Record, and patient-centered medical home data to address patient, provider, and system barriers to cardiovascular disease (CVD) preventive care. We will implement this project in cardiovascular disease practices in three rural Veterans Health Administration clinics. We will evaluate implementation processes as well as patient-level (e.g., clinical outcomes, referrals to specialty services) outcomes in a one-arm, pre-post design. DISCUSSION: This manuscript describes our process in expanding the implementation of a successful project to improve BP control in high-risk, rural Veterans. Findings from our study will inform an understanding of both implementation and clinical effectiveness outcomes of a potentially scalable BP intervention in rural, community-based clinics. Appropriate management of Veterans with uncontrolled BP can reduce morbidity and mortality related to CVD. In turn, improvements in BP, can lead to improved quality metrics and potentially decrease costs for a healthcare system.
Indexed as
Identifiers
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.