Evidence map›Paper›PMID 32931904›Full record

ArticleJournal of pain and symptom management2021

The Association Between Hospital End-of-Life Care Quality and the Care Received Among Patients With Heart Failure.

Shelli L Feder, Janet Tate, Mary Ersek, Supriya Krishnan, Sarwat I Chaudhry, Lori A Bastian, Joshua Rolnick, Ann Kutney-Lee, Kathleen M Akgün

Open access · greenAbstract read
In one paragraph

Article in Journal of pain and symptom management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Shelli L FederYale University School of Nursing, West Haven, Connecticut, USA; VA Connecticut Healthcare System, West Haven, Connecticut, USA. Electronic address: shelli.feder@yale.edu.
Janet TateVA Connecticut Healthcare System, West Haven, Connecticut, USA.
Mary ErsekCorporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA; University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Supriya KrishnanVA Connecticut Healthcare System, West Haven, Connecticut, USA.
Sarwat I ChaudhryYale University School of Medicine, New Haven, Connecticut, USA.
Lori A BastianVA Connecticut Healthcare System, West Haven, Connecticut, USA; Yale University School of Medicine, New Haven, Connecticut, USA.
Joshua RolnickCorporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA.
Ann Kutney-LeeCorporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA; University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA.
Kathleen M AkgünVA Connecticut Healthcare System, West Haven, Connecticut, USA; Yale University School of Medicine, New Haven, Connecticut, USA.
Yale University · USPhiladelphia VA Medical Center · USVA Connecticut Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Yale Scholars in Implementation Science (YSIS)K12HL138037 · NHLBI · YALE UNIVERSITY · PI SHARIFI, MAHNOOSH · 2017 to 2021
$3.0M
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K12 HL138037
6 · The paper itself

Abstract

contextImproving end-of-life care (EOLC) quality among heart failure patients is imperative. Data are limited as to the hospital processes of care that facilitate this goal.

objectivesTo determine associations between hospital-level EOLC quality ratings and the EOLC delivered to heart failure patients.

methodsRetrospective analysis of the Veterans Health Administration (VA) and the Bereaved Family Survey data of heart failure patients from 2013 to 2015 who died in 107 VA hospitals. We calculated hospital-level observed-to-expected casemix-adjusted ratios of family reported excellent EOLC, dividing hospitals into quintiles. Using logistic regression, we examined associations between quintiles and palliative care consultation, receipt of chaplain and bereavement services, inpatient hospice, and intensive care unit death.

resultsOf 6256 patients, mean age was 77.4 (SD = 11.1), 98.3% were male, 75.7% were white, and 18.2% were black. Median hospital scores of "excellent" EOLC ranged from 41.3% (interquartile range 37.0%-44.8%) in the lowest quintile to 76.4% (interquartile range 72.9%-80.3%) in the highest quintile. Patients who died in hospitals in the highest quintile, relative to the lowest, were slightly although not significantly more likely to receive a palliative care consultation (adjusted proportions 57.6% vs. 51.2%; P = 0.32) but were more likely to receive chaplaincy (92.6% vs. 81.2%), bereavement (86.0% vs. 72.2%), and hospice (59.7% vs. 35.9%) and were less likely to die in the intensive care unit (15.9% vs. 31.0%; P < 0.05 for all).

conclusionPatients with heart failure who die in VA hospitals with higher overall EOLC quality receive more supportive EOLC. Research is needed that integrates care processes and develops scalable best practices in EOLC across health care systems.

Indexed as

Heart FailureTerminal CareAgedFamilyHumansMalePalliative CareQuality of Health CareRetrospective Studiesend of lifeheart failurehospitalizationPalliative careperformance measurementquality of careVeterans Affairs

Identifiers

PMID32931904
PMCPMC7952458
OpenAlexW3086066173

What OpenQuestion holds

Textmetadata
LicenceTDM
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.