Evidence map›Paper›PMID 38907006›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Analysis of travel burden and travel support among patients treated at a comprehensive cancer center in the Southeastern United States.

Jinbing Bai, Zahra A Barandouzi, Katherine A Yeager, Ilana Graetz, Claire Gong, Maria Norman, James Hankins, Sudeshna Paul, Mylin A Torres, Deborah Watkins Bruner

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Jinbing BaiNell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, USA. jinbing.bai@emory.edu.
Zahra A BarandouziNell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, USA.
Katherine A YeagerNell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, USA.
Ilana GraetzWinship Cancer Institute, Emory University, Atlanta, GA, USA.
Claire GongNell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, USA.
Maria NormanNell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, USA.
James HankinsWinship Cancer Institute, Emory University, Atlanta, GA, USA.
Sudeshna PaulNell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, USA.
Mylin A TorresWinship Cancer Institute, Emory University, Atlanta, GA, USA.
Deborah Watkins BrunerNell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road NE, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTravel burden leads to worse cancer outcomes. Understanding travel burden and the level and types of travel support provided at large cancer centers is critical for developing systematic programs to alleviate travel burden. This study analyzed patients who received travel assistance, including their travel burden, types and amount of travel support received, and factors that influenced these outcomes.

methodsWe analyzed 1063 patients who received travel support from 1/1/2021 to 5/1/2023 at Winship Cancer Institute, in which ~18,000 patients received cancer care annually. Travel burden was measured using distance and time to Winship sites from patients' residential address. Travel support was evaluated using the monetary value of total travel support and type of support received. Patients' sociodemographic and clinical factors were extracted from electronic medical records. Area-level socioeconomic disadvantage was coded by the Area Deprivation Index using patient ZIP codes.

resultsOn average, patients traveled 57.2 miles and 67.3 min for care and received $74.1 in total for travel support. Most patients (88.3%) received travel-related funds (e.g., gas cards), 5% received direct rides (e.g., Uber), 3.8% received vouchers for taxi or public transportation, and 3% received combined travel support. Male and White had longer travel distance and higher travel time than female and other races, respectively. Patients residing in more disadvantaged neighborhoods had an increased travel distance and travel time. Other races and Hispanics received more travel support ($) than Black and White patients or non-Hispanics. Patients with higher travel distance and travel time were more like to receive travel-related financial support.

conclusionAmong patients who received travel support, those from socioeconomically disadvantaged neighborhoods had greater travel burden. Patients with greater travel burden were more likely to receive travel funds versus other types of support. Further understanding of the impact of travel burden and travel support on cancer outcomes is needed.

Indexed as

NeoplasmsTravelAdultAgedCancer Care FacilitiesCost of IllnessFemaleHumansMaleMiddle AgedSocioeconomic FactorsSoutheastern United StatesCancerNeighborhood socioeconomic deprivationSocial determinants of healthTravel burdenTravel support

Identifiers

PMID38907006

What Socratic 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 Socratic graph.