Evidence map›Paper›PMID 40684907›Full record

ArticleChest2025

Institutional Variation in Specialty Palliative Care Consultation Among Patients With Persistent Critical Illness: A Cohort Study.

Elizabeth M Viglianti, Jennifer Cano, Sarah Seelye, Jacqueline M Kruser, Anica C Law, Theodore J Iwashyna, Hallie C Prescott

Abstract readMulticenter Study
In one paragraph

Article in Chest, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elizabeth M VigliantiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Veterans Affairs Center for Clinical Management Research, HSR Center of Innovation, Ann Arbor, MI. Electronic address: Eviglian@med.umich.edu.
Jennifer CanoVeterans Affairs Center for Clinical Management Research, HSR Center of Innovation, Ann Arbor, MI.
Sarah SeelyeVeterans Affairs Center for Clinical Management Research, HSR Center of Innovation, Ann Arbor, MI.
Jacqueline M KruserDivision of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, University of Wisconsin, Madison, WI.
Anica C LawPulmonary Center, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA.
Theodore J IwashynaDivision of Pulmonary and Critical Care Medicine, School of Medicine, Baltimore, MD; Department of Health Policy and Management, School of Public Health, Johns Hopkins University, Baltimore, MD.
Hallie C PrescottDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ann Arbor, MI; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Veterans Affairs Center for Clinical Management Research, HSR Center of Innovation, Ann Arbor, MI.

Funding

Improving Risk-Stratification in Patients with Prolonged ICU StaysK23HL157364 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VIGLIANTI, ELIZABETH MARIE · 2021 to 2025
$913k
NHLBI NIH HHS K23 HL157364
6 · The paper itself

Abstract

backgroundDevelopment of persistent critical illness (PerCI) necessitating prolonged ICU stays varies across hospitals. Specialty palliative care consultation may mitigate PerCI development by influencing the transition to comfort-directed care when appropriate. RESEARCH QUESTION: Do hospitals with the lowest rates of PerCI have higher use of specialty palliative care consultations during the first 3 days of admission to the ICU as compared with hospitals with the highest rates of PerCI? STUDY DESIGN AND

methodsThis was a retrospective cohort of veterans admitted to Veterans Affairs (VA) ICUs from October 2015 through December 2021. PerCI was defined as an ICU length of stay of at least 11 days. We used multilevel logistic regression to assess cross-hospital variation in risk-adjusted and reliability-adjusted probabilities of PerCI developing. We subsequently classified hospitals into quintiles of adjusted probabilities of PerCI and assessed incidence and timing of new specialty palliative care consultations by quintile. In sensitivity analyses, we assessed correlations between hospital-level incidence of early specialty palliative care consultation and adjusted probability of PerCI developing.

resultsAmong 371,280 ICU hospitalizations at 104 VA hospitals, 5.4% of patients (n = 19,904 of 371,280) experienced PerCI and 4.8% underwent an early specialty palliative care consultation. In adjusted models, development of PerCI ranged from 1.4% (lowest-quintile hospitals) to 5.4% (highest-quintile hospitals). Among the highest-quintile and lowest-quintile PerCI hospitals, incidence of early specialty palliative care consultation was 5.3% and 5.8%, respectively. Hospital-level use of early specialty palliative care consultation was not correlated with hospital-level probability of PerCI (P = .17).

interpretationIn this study, cross-hospital differences in PerCI development were not explained by differential use of early specialty palliative care consultation. These findings suggests that hospital-level differences in PerCI development are explained by other care factors. Future research is needed to identify care processes that differentiate high-performing hospitals.

Indexed as

Critical IllnessHospitals, VeteransIntensive Care UnitsPalliative CareReferral and ConsultationAgedFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesUnited Statesinstitutional variationpersistent critical illnessprolonged ICU staysspecialty palliative care

Identifiers

PMID40684907
PMCPMC12801079

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.