Evidence map›Paper›PMID 38150077›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023

The impact of a multidisciplinary goals-of-care program on unplanned readmission rates at a comprehensive cancer center.

Cerena Leung, Clark R Andersen, Kaycee Wilson, Nico Nortje, Marina George, Christopher Flowers, Eduardo Bruera, David Hui

Open access · greenAbstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. 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
1.2field-weighted citation impact, top 20% 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, 4 citations in OpenAlex.

  1. Smart Healthcare-Enabled Information-Motivation-Behavioral Skills Model for Stroke Multimorbidity Rehabilitation: A Transitional Care Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Trial
  2. Determining patient-oncologist cancer treatment intent concordance using systematic screening in a supportive care center.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. 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

8 authors at 1 institution in 1 country.

Cerena LeungDepartment of Hospital Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. CKLeung2@mdanderson.org.
Clark R AndersenDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kaycee WilsonDepartment of Inpatient Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Nico NortjeDepartment of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Marina GeorgeDepartment of Hospital Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christopher FlowersDepartment of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Eduardo BrueraDepartment of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
David HuiDepartment of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

purposeThis study examined the 30-day unplanned readmission rate in the medical oncology population before and after the implementation of an institution-wide multicomponent interdisciplinary goals of care (myGOC) program.

methodsThis retrospective study compared the 30-day unplanned readmission rates in consecutive medical patients during the pre-implementation period (May 1, 2019, to December 31, 2019) and the post-implementation period (May 1, 2020, to December 31, 2020). Secondary outcomes included 7-day unplanned readmission rates, inpatient do-not-resuscitate (DNR) orders, and palliative care consults. We randomly selected a hospitalization encounter for each unique patient during each study period for statistical analysis. A multivariate analysis model was used to examine the association between 30-day unplanned readmission rates and implementation of the myGOC program.

resultsThere were 7028 and 5982 unique medical patients during the pre- and post-implementation period, respectively. The overall 30-day unplanned readmission rate decreased from 24.0 to 21.3% after implementation of the myGOC program. After adjusting for covariates, the myGOC program implementation remained significantly associated with a reduction in 30-day unplanned readmission rates (OR [95% CI] 0.85 [0.77, 0.95], p = 0.003). Other factors significantly associated with a decreased likelihood of a 30-day unplanned readmission were an inpatient DNR order, advanced care planning documentation, and an emergent admission type. We also observed a significant decrease in 7-day unplanned readmission rates (OR [95% CI] 0.75 [0.64, 0.89]) after implementation of the myGOC program.

conclusionThe 30-day and 7-day unplanned readmission rates decreased in our hospital after implementation of a system-wide multicomponent GOC intervention.

Indexed as

NeoplasmsPatient ReadmissionGoalsHospitalizationHumansInpatientsRetrospective StudiesAdvanced care planningGoals of carePalliative careQuality of health careReadmission rates

Identifiers

PMID38150077
PMCPMC11391928
OpenAlexW4390271987

What OpenQuestion holds

Textmetadata
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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.