Evidence map›Paper›PMID 37552356›Full record

ReviewCurrent heart failure reports2023

Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure.

Michael A Fuery, Bashar Kadhim, Marc D Samsky, James V Freeman, Katherine Clark, Nihar R Desai, Francis P Wilson, Treeny Ahmed, Tariq Ahmad

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current heart failure reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Michael A FuerySection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06517, USA.
Bashar KadhimClinical and Translational Research Accelerator (CTRA), Yale School of Medicine, New Haven, CT, USA.
Marc D SamskySection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06517, USA.
James V FreemanSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06517, USA.
Katherine ClarkSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06517, USA.
Nihar R DesaiSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06517, USA.
Francis P WilsonClinical and Translational Research Accelerator (CTRA), Yale School of Medicine, New Haven, CT, USA.
Treeny AhmedYale Center for Customer Insights, Yale School of Management, New Haven, CT, USA.
Tariq AhmadSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06517, USA. tariq.ahmad@yale.edu.

Funding

Optimizing Electronic Alerts for Acute Kidney InjuryR01DK113191 · NIDDK · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2018 to 2022
$3.1M
Personalized Recommendations for Acute Kidney Injury (AKI) Care Using a Kidney Action Team: A Randomized TrialR01HS027626 · AHRQ · YALE UNIVERSITY · PI WILSON, FRANCIS PERRY · 2021 to 2025
$1.9M
AHRQ HHS R01 HS027626NIDDK NIH HHS R01 DK113191
6 · The paper itself

Abstract

purposeA majority of clinical decisions use the electronic health record (EHR) and there is an unmet need to use its capability to help providers to make evidence-based decisions that improve care for heart failure patients. These electronic nudges are rooted in the human psychology of decision-making and often target specific cognitive biases. This review outlines the development of novel EHR nudges and specific lessons learned from each experience to inform the development of future interventions. RECENT

findingsThere have been several randomized clinical trials examining the impact of EHR alerts on quality of care for heart failure patients. These interventions have targeted both clinicians and patients. There are features of each trial that inform best practices and future directions for EHR nudges. Recent clinical trials have demonstrated that some EHR alerts can improve care for heart failure patients. These trials utilized default options, involved clinicians in the alert design process, provided actionable recommendations, and aimed to minimize disruptions to typical workflow. Alerts aimed at improving care should be examined in a randomized fashion in order to evaluate their impact on clinician satisfaction and patient care.

Indexed as

Electronic Health RecordsHeart FailureHumansQuality ImprovementElectronic health recordGuideline-directed medical therapyHeart failureNudge

Identifiers

PMID37552356

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.