Evidence map›Paper›PMID 35595374›Full record

ArticleJournal of pain and symptom management2022

Utilization and Delivery of Specialty Palliative Care in the ICU: Insights from the Palliative Care Quality Network.

Allyson Cook Chapman, Joseph A Lin, Julien Cobert, Angela Marks, Jessica Lin, David L O'Riordan, Steven Z Pantilat

Open access · bronzeAbstract read
In one paragraph

Article in Journal of pain and symptom management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 at 1 institution in 1 country.

Allyson Cook ChapmanDivision of Palliative Medicine, Department of Medicine (A.C.C., J.A.L., J.L., D.L.O.R., S.Z.P.), University of California San Francisco, San Francisco, California; Department of Surgery (A.C.C., J.A.L.), University of California San Francisco, San Francisco, California; Critical Care Medicine, Department of Anesthesia (A.C.C., J.C.), University of California San Francisco, San Francisco, California. Electronic address: Allyson.Cook@ucsf.edu.
Joseph A LinDivision of Palliative Medicine, Department of Medicine (A.C.C., J.A.L., J.L., D.L.O.R., S.Z.P.), University of California San Francisco, San Francisco, California; Department of Surgery (A.C.C., J.A.L.), University of California San Francisco, San Francisco, California.
Julien CobertAnesthesia Service (J.C.), San Francisco VA Health Care System, San Francisco, California; Critical Care Medicine, Department of Anesthesia (A.C.C., J.C.), University of California San Francisco, San Francisco, California.
Angela MarksDepartment of Medicine (A.M.), University of California San Francisco, San Francisco, California.
Jessica LinDivision of Palliative Medicine, Department of Medicine (A.C.C., J.A.L., J.L., D.L.O.R., S.Z.P.), University of California San Francisco, San Francisco, California.
David L O'RiordanDivision of Palliative Medicine, Department of Medicine (A.C.C., J.A.L., J.L., D.L.O.R., S.Z.P.), University of California San Francisco, San Francisco, California.
Steven Z PantilatDivision of Palliative Medicine, Department of Medicine (A.C.C., J.A.L., J.L., D.L.O.R., S.Z.P.), University of California San Francisco, San Francisco, California.
University of California, San Francisco · US

Funding

Surgical Oncology Training GrantT32CA251070 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ESSERMAN, LAURA J · 2020 to 2024
$1.5M
NCI NIH HHS T32 CA251070
6 · The paper itself

Abstract

contextPalliative care (PC) benefits critically ill patients but remains underutilized. Important to developing interventions to overcome barriers to PC in the ICU and address PC needs of ICU patients is to understand how, when, and for which patients PC is provided in the ICU.

objectivesCompare characteristics of specialty PC consultations in the ICU to those on medical-surgical wards.

methodsRetrospective analysis of national Palliative Care Quality Network data for hospitalized patients receiving specialty PC consultation January 1, 2013 to December 31, 2019 in ICU or medical-surgical setting. 98 inpatient PC teams in 16 states contributed data. Measures and outcomes included patient characteristics, consultation features, process metrics and patient outcomes. Mixed effects multivariable logistic regression was used to compare ICU and medical-surgical units.

resultsOf 102,597 patients 63,082 were in medical-surgical units and 39,515 ICU. ICU patients were younger and more likely to have non-cancer diagnoses (all P < 0.001). While fewer ICU patients were able to report symptoms, most patients in both groups reported improved symptoms. ICU patients were more likely to have consultation requests for GOC, comfort care, and withdrawal of interventions and less likely for pain and/or symptoms (OR-all P < 0.001). ICU patients were less often discharged alive.

conclusionICU patients receiving PC consultation are more likely to have non-cancer diagnoses and less likely able to communicate. Although symptom management and GOC are standard parts of ICU care, specialty PC in the ICU is often engaged for these issues and results in improved symptoms, suggesting routine interventions and consultation targeting these needs could improve care.

Indexed as

Hospice and Palliative Care NursingPalliative CareHumansIntensive Care UnitsReferral and ConsultationRetrospective StudiesCritical carepalliative medicinePCQN

Identifiers

PMID35595374
PMCPMC9303815
OpenAlexW4280492716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.