Evidence map›Paper›PMID 30946642›Full record

ArticleJournal of oncology practice2019

Potentially Avoidable Hospital Readmissions in Patients With Advanced Cancer.

P Connor Johnson, Yian Xiao, Risa L Wong, Sara D'Arpino, Samantha M C Moran, Daniel E Lage, Brandon Temel, Margaret Ruddy, Lara N Traeger, Joseph A Greer and 4 more

Abstract read
In one paragraph

Article in Journal of oncology practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Observational
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  10. Identification and Characterization of Avoidable Hospital Admissions in Patients With Lung Cancer.Journal of the National Comprehensive Cancer Network : JNCCN · 2023
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  15. Associations of patient-reported care satisfaction with symptom burden and healthcare use in hospitalized patients with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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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

14 authors.

P Connor Johnson1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Yian Xiao2 Boston Medical Center, Boston University School of Medicine, Boston, MA.
Risa L Wong3 University of Washington, Seattle, WA.
Sara D'Arpino1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Samantha M C Moran1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Daniel E Lage1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Brandon Temel1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Margaret Ruddy1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Lara N Traeger1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Joseph A Greer1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Ephraim P Hochberg1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Jennifer S Temel1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Areej El-Jawahri1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.
Ryan D Nipp1 Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA.

Funding

Optimizing Palliative and End of Life Care for Patients with CancerK24CA181253 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TEMEL, JENNIFER SUE · 2014 to 2018
$737k
NCI NIH HHS K24 CA181253
6 · The paper itself

Abstract

purposePatients with cancer often prefer to avoid time in the hospital; however, data are lacking on the prevalence and predictors of potentially avoidable readmissions (PARs) among those with advanced cancer.

methodsWe enrolled patients with advanced cancer from September 2, 2014, to November 21, 2014, who had an unplanned hospitalization and assessed their patient-reported symptom burden (Edmonton Symptom Assessment System) at the time of admission. For 1 year after enrollment, we reviewed patients' health records to determine the primary reason for every hospital readmission and we classified readmissions as PARs using adapted Graham's criteria. We examined predictors of PARs using nonlinear mixed-effects models with binomial distribution.

resultsWe enrolled 200 (86.2%) of 232 patients who were approached. For these 200 patients, we reviewed 277 total hospital readmissions and identified 108 (39.0%) of these as PARs. The most common reasons for PARs were premature discharge from a prior hospitalization (30.6%) and failure of timely follow-up (28.7%). PAR hospitalizations were more likely than non-PAR hospitalizations to experience symptoms as the primary reason for admission (28.7%

conclusionWe observed that a substantial proportion of hospital readmissions are potentially avoidable and found that patients' symptom burdens predict PARs. These findings underscore the need to assess and address the symptom burden of hospitalized patients with advanced cancer in this highly symptomatic population.

Indexed as

Patient ReadmissionAdultAgedFemaleHospitalizationHumansMaleMiddle AgedNeoplasmsNeoplasm StagingPatient Outcome AssessmentPublic Health SurveillanceSelf ReportSocioeconomic Factors

Identifiers

PMID30946642
PMCPMC7846058

What OpenQuestion holds

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Registered trials

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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.