Evidence map›Paper›PMID 36100197›Full record

ReviewContemporary clinical trials2022

A multicenter program for electronic health record screening for patients with heart failure with preserved ejection fraction: Lessons from the DELIVER-EHR initiative.

Anthony E Peters, Modele O Ogunniyi, Sheila M Hegde, Christopher Bianco, Shahab Ghafghazi, Adrian F Hernandez, Adam D DeVore

Registry-linked trialAbstract readReview
In one paragraph

Review in Contemporary clinical trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT03619213. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT03619213 phase3completed

An International, Double-blind, Randomised, Placebo-Controlled Phase III Study to Evaluate the Effect of Dapagliflozin on Reducing CV Death or Worsening Heart Failure in Patients With Heart Failure With Preserved Ejection Fraction (HFpEF)

Ran2018Enrolled6,263Registered outcomes7Posted comparisons7ConditionsHeart Failure With Preserved Ejection FractionArmsdapagliflozin, Placebo
Open the trial in the graph
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024
    Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Anthony E PetersDivision of Cardiology, Duke University School of Medicine, Durham, NC, United States of America; Duke Clinical Research Institute, Durham, NC, United States of America.
Modele O OgunniyiDivision of Cardiology, Emory University School of Medicine, Atlanta, Georgia.
Sheila M HegdeDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, United States of America.
Christopher BiancoDivision of Cardiology, West Virginia University School of Medicine, Morgantown, WV, United States of America.
Shahab GhafghaziDepartment of Cardiovascular Medicine, University of Louisville, Louisville, KY, United States of America.
Adrian F HernandezDivision of Cardiology, Duke University School of Medicine, Durham, NC, United States of America; Duke Clinical Research Institute, Durham, NC, United States of America.
Adam D DeVoreDivision of Cardiology, Duke University School of Medicine, Durham, NC, United States of America; Duke Clinical Research Institute, Durham, NC, United States of America. Electronic address: adam.devore@duke.edu.

Funding

Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
NHLBI NIH HHS T32 HL069749
6 · The paper itself

Abstract

Efficiency in clinical trial recruitment and enrollment remains a major challenge in many areas of clinical medicine. In particular, despite the prevalence of heart failure with preserved ejection fraction (HFpEF), identifying patients with HFpEF for clinical trials has proven to be especially challenging. In this manuscript, we review strategies for contemporary clinical trial recruitment and present insights from the results of the DELIVER Electronic Health Record (EHR) Screening Initiative. The DELIVER trial was designed to evaluate the effects of dapagliflozin on clinical outcomes in patients with HFpEF. Within this trial, the multicenter DELIVER EHR Screening Initiative utilized EHR-based techniques in order to improve recruitment at selected sites in the United States. For this initiative, we developed and deployed a computable phenotype from the trial's eligibility criteria along with additional EHR tools at interested sites. Sites were then surveyed at the end of the program regarding lessons learned. Six sites were recruited, trained, and supported to utilize the EHR methodology and computable phenotype. Sites found the initiative to be helpful in identifying eligible patients and cited the individualized expert technical support as a critical factor in utilizing the program effectively. We found that the major challenge of implementation was the process of converting traditional inclusion/exclusion criteria into a computable phenotype within an established and ongoing trial. Other significant challenges noted by sites were the following: impact of the COVID-19 pandemic, engagement/support by local institutions, and limited availability of internal EHR experts/resources to execute programming. The study represents a proof-of-concept in the ability to utilize EHR-based tools in clinical trial recruitment for patients with HFpEF and provides important lessons for future initiatives. ClinicalTrials.gov Identifier: NCT03619213.

Indexed as

COVID-19Heart FailureClinical Trials as TopicElectronic Health RecordsHumansMulticenter Studies as TopicPandemicsStroke VolumeClinical trial efficiencyElectronic health recordsHeart failurePragmatism in clinical trials

Identifiers

PMID36100197
PMCPMC12673505

What OpenQuestion holds

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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.