Evidence map›Paper›PMID 42068688›Full record

ArticleHeart & lung : the journal of critical care

Designing a clinical decision support tool to promote timely palliative care in heart failure.

Yutong Men, Nathan Wright, Giselle O'Connor, Hargun Kaur, Ella Suh, Jenny Chen, Bashar Kadhim, Tariq Ahmad, Michael Beasley, Nora Segar and 3 more

Abstract read
In one paragraph

Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Yutong MenYale School of Public Health, 60 College St, New Haven, CT, 06510, USA. Electronic address: yutong.men@yale.edu.
Nathan WrightYale School of Nursing, 400 West Campus Drive, Orange, CT 06477, USA.
Giselle O'ConnorYale School of Nursing, 400 West Campus Drive, Orange, CT 06477, USA.
Hargun KaurYale School of Nursing, 400 West Campus Drive, Orange, CT 06477, USA.
Ella SuhYale School of Public Health, 60 College St, New Haven, CT, 06510, USA.
Jenny ChenYale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Bashar KadhimYale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Tariq AhmadYale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Michael BeasleyYale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Nora SegarYale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Jonathan QuangYale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Mona SharifiYale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.
Shelli FederYale School of Nursing, 400 West Campus Drive, Orange, CT 06477, USA.

Funding

Promoting Palliative Care for People with Heart Failure: The P3HF Pilot StudyR34HL174885 · NHLBI · YALE UNIVERSITY · PI Shelli Leore Feder · 2024 to 2026
$719k
NHLBI NIH HHS R34 HL174885
6 · The paper itself

Abstract

backgroundPalliative care improves quality of life and reduces avoidable healthcare utilization for people with heart failure, yet referrals remain inconsistent and delayed. Clinical decision support offers a promising strategy to facilitate timely palliative care, but no tool currently exists to support palliative care decision-making specifically for this population.

objectivesTo identify clinician needs, contextual factors, and design requirements to inform the development of a clinical decision support tool to promote timely palliative care for hospitalized patients with heart failure.

methodsGuided by the User-Centered Framework for Implementation of Technology, we conducted a qualitative descriptive study using focus groups and interviews with referring clinicians (hospitalists and cardiologists) and palliative care clinicians across two hospitals in an academic health system. Rapid qualitative and content analysis were used to identify themes related to workflow, decision-making, and tool design.

resultsTwenty-five clinicians participated. Clinicians described workflow challenges, goals for earlier palliative care involvement, and barriers such as uncertainty about referral timing. Informational needs included prognostic indicators and healthcare utilization data. Clinicians reported limited experience with palliative-specific decision support and expressed strong dislike for interruptive alerts that disrupt workflow. Preferred features included objective markers of clinical deterioration, tailored recommendations based on clinical acuity, integration into existing workflows, and clear visuals.

conclusionsClinicians identified critical informational, contextual, and design requirements for a clinical decision support tool to promote timely palliative care in heart failure. These findings directly inform tool design, workflow integration, and implementation strategies, and will guide future pilot testing and clinical evaluation.

Indexed as

Decision Support Systems, ClinicalHeart FailurePalliative CareQuality of LifeFemaleFocus GroupsHumansMaleQualitative ResearchClinical decision supportHeart failurePalliative careQualitative research

Identifiers

PMID42068688
PMCPMC13206645

What OpenQuestion holds

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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.