Evidence map›Paper›PMID 36573460›Full record

ArticleCancer medicine2023

Oncology distress screening within predominately Black Veterans: Outcomes on supportive care utilization, hospitalizations, and mortality.

Desiree R Azizoddin, Matthew Allsop, Subrina Farah, Farah Salim, Joshua Hauser, Ashton R Baltazar, Robert Molokie, Jane Weber, Christine Weldon, Lawrence Feldman and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

Desiree R AzizoddinHealth Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.ORCID 0000-0001-6993-1776
Matthew AllsopAcademic Unit of Palliative Care, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID 0000-0002-7399-0194
Subrina FarahCenter for Clinical Investigation, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Farah SalimDepartment of Medicine, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Joshua HauserDepartment of Medicine, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Ashton R BaltazarHealth Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.ORCID 0000-0001-9320-6929
Robert MolokieDepartment of Medicine, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Jane WeberDepartment of Medicine, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Christine WeldonCenter for Business Models in Healthcare, Chicago, Illinois, USA.ORCID 0000-0003-3918-0048
Lawrence FeldmanDepartment of Medicine, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Joanna L MartinDepartment of Medicine, Jesse Brown VA Medical Center, Chicago, Illinois, USA.
Jesse Brown VA Medical Center · USNorthwestern University · USUniversity of Illinois Chicago · USBrigham and Women's Hospital · USCenter for Excellence in Education · USDana-Farber Cancer Institute · USUniversity of Leeds · GBUniversity of Oklahoma Health Sciences Center · US

Funding

Integrating pain-CBT into an mHealth analgesic support intervention for patients withchronic pain from advanced cancersK08CA266937 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Desiree R Hilton · 2022 to 2026
$1.0M
NCI NIH HHS K08 CA266937NCI NIH HHS L30 CA242493
6 · The paper itself

Abstract

backgroundWe evaluated whether patients' initial screening symptoms were related to subsequent utilization of supportive care services and hospitalizations, and whether patient-level demographics, symptoms, hospitalizations, and supportive care service utilization were associated with mortality in primarily low-income, older, Black Veterans with cancer.

methodsThis quality improvement project created collaborative clinics to conduct cancer distress screenings and refer to supportive care services at an urban, VA medical center. All patients completed a distress screen with follow-up screening every 3 months. Supportive care utilization, hospitalization rates, and mortality were abstracted through medical records. Poisson regression models and cox proportional hazard models were utilized.

resultsFive hundred and eighty five screened patients were older (m = 72), mostly Black 70% (n = 412), and had advanced cancer 54%. Fifty-eight percent (n = 340) were screened only once with 81% (n = 470) receiving ≥1 supportive care service and 51.5% (n = 297) being hospitalized ≥1 time 18 months following initial screen. Symptom severity was significantly related to number of hospitalizations. Low mood was significantly related to higher supportive services (p < 0.001), but not hospitalizations (p ≥ 0.52). Pain, fatigue, physical function, nutrition, and physical symptoms were significantly associated with more supportive services and hospitalizations (p < 0.01). Twenty percent (n = 168) died; Veterans who were Black, had lower stage cancers, better physical health, and utilized less supportive care services had lower odds of mortality (p ≤ 0.01).

conclusionIndividuals with elevated distress needs and those reporting lower physical function utilized more supportive care services and had higher hospitalization rates. Lower physical function, greater supportive care use, higher stage cancer, and being non-Black were associated with higher odds of death.

Indexed as

NeoplasmsVeteransDepressionHospitalizationHumansPovertyBlack Veteransdistress screeninghospitalizationmortalityoncologypsycho-oncologysupportive care services

Identifiers

PMID36573460
PMCPMC10134375
OpenAlexW4312209923

What OpenQuestion holds

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LicenceCC BY
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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.