Evidence map›Paper›PMID 38936969›Full record

ArticleBMJ supportive & palliative care2024

Artificial intelligence for better goals of care documentation.

Gina Piscitello, Jane O Schell, Robert M Arnold, Yael Schenker

Abstract read
In one paragraph

Article in BMJ supportive & palliative care, 2024. 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

4 authors.

Gina PiscitelloSection of Palliative Care and Medical Ethics, Division of Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA piscitellogm@upmc.edu.ORCID http://orcid.org/0000-0002-3958-4491
Jane O SchellSection of Palliative Care and Medical Ethics, Division of Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Robert M ArnoldBrookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Yael SchenkerSection of Palliative Care and Medical Ethics, Division of Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
Midcareer Investigator Award in Patient-Oriented Research: Yael Schenker, MD, MASK24AG070285 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SCHENKER, YAEL · 2021 to 2025
$841k
NCATS NIH HHS TL1 TR001858NIA NIH HHS K24 AG070285
6 · The paper itself

Abstract

objectivesLower rates of goals of care (GOC) conversations have been observed in non-white hospitalised patients, which may contribute to racial disparities in end-of-life care. We aimed to assess how a targeted initiative to increase GOC documentation rates is associated with GOC documentation by race.

methodsWe retrospectively assessed GOC documentation during a targeted GOC initiative for adult patients with an artificial intelligence predicted elevated risk of mortality. Patients were admitted to an urban academic medical centre in Pittsburgh, Pennsylvania between July 2021 and 31 December 2022.

resultsThe 3643 studied patients had a median age of 72 (SD 13.0) and were predominantly white (87%) with 42% admitted to an intensive care unit and 15% dying during admission. GOC documentation was completed for 28% (n=1019/3643). By race, GOC was documented for 30% black (n=105/351), 28% white (n=883/3161) and 24% other (n=31/131) patients (p=0.3933). There was no statistical difference in the rate of documented GOC among races over time (p=0.5142).

conclusionsA targeted initiative to increase documented GOC conversations for hospitalised patients with an elevated risk of mortality is associated with similar documentation rates across racial groups. Further research is needed to assess whether this initiative may promote racial equity in GOC documentation in other settings.

Indexed as

Artificial IntelligenceDocumentationPatient Care PlanningTerminal CareAgedAged, 80 and overFemaleHumansMaleMiddle AgedPennsylvaniaRetrospective StudiesCommunicationEnd of life careEthics

Identifiers

PMID38936969
PMCPMC11671606

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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.