Evidence map›Paper›PMID 36656577›Full record

ArticleJAMA network open2023

Geographic Access to Pediatric Cancer Care in the US.

Xiaohui Liu, Mark N Fluchel, Anne C Kirchhoff, Haojie Zhu, Tracy Onega

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Disparities in Rural-Urban Cancer Care Outcomes among Pediatric, Adolescent, and Young Adult Populations: A Comprehensive Narrative Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  8. Navigating Hope and Complexity: Turkish Parents’ Experiences with Savior SiblingsTurkish journal of haematology : official journal of Turkish Society of Haematology · 2025
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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

5 authors.

Xiaohui LiuDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Mark N FluchelDivision of Pediatric Hematology-Oncology, Seattle Children's Hospital, Seattle, Washington.
Anne C KirchhoffDepartment of Pediatrics, School of Medicine, Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Haojie ZhuDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City.
Tracy OnegaDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Although access to pediatric cancer care has implications for use of such care and patient outcomes, little is known about the geographic accessibility of pediatric cancer care and how it may vary by population characteristics across the continental US. Objective: To estimate the travel time to pediatric cancer care settings in the continental US, identify potential disparities among subgroups of children and adolescents and young adults (AYAs), and identify areas needing improved access to pediatric cancer care. Design, Setting, and Participants: This cross-sectional study collected data from August 1 to December 1, 2021. Pediatric oncologists' service locations in 2021 served as the pediatric cancer care settings, data for which were scraped from 2 websites containing information about health professionals. Demographic characteristics for younger children and AYAs aged 0 to 21 years were obtained from the 2015 to 2019 American Community Survey 5-year estimates. Data were analyzed from January 1 to April 31, 2022. Main Outcomes and Measures: The main outcome was the travel time from geographic centroids of zip code tabulation areas to the nearest pediatric oncologist. The median (IQR) travel times for each demographic subgroup were estimated. Per capita pediatric oncologist supply was calculated by dividing the total number of pediatric oncologists for each state or US Census division by its population. Results: Of the 90 498 890 children and AYAs included in the study, 63.6% were estimated to travel less than 30 minutes and 19.7% to travel between 30 and 60 minutes (for a total of 83.3%) to the nearest pediatric oncologist. Median (IQR) travel times were longest for the American Indian or Alaska Native pediatric population (46 [16-104] minutes) and residents of rural areas (95 [68-135] minutes), areas with high deprivation levels (36 [13-72] minutes), and the South (24 [13-47] minutes) and Midwest (22 [11-51] minutes) compared with the general population of children and AYAs. The pediatric oncologist supply was lowest in Wyoming (0 oncologists per 100 000 pediatric population) and highest in Washington, DC (53.3 oncologists per 100 000 pediatric population). Pediatric oncologist supply across Census divisions was lowest in the Mountain division (3.3 oncologists per 100 000 pediatric population) and highest in the New England division (8.1 oncologists per 100 000 pediatric population). Conclusions and Relevance: Results of this study showed that most children and AYAs in the continental US had adequate access to pediatric cancer care, although disparities existed among racial and ethnic groups and residents in rural areas, areas with high deprivation levels, and some Southern and Midwestern states. Reducing these disparities may require innovative approaches, such as expanding the capabilities of local facilities and creating partnerships with adult oncology centers and primary care physicians.

Indexed as

Health Services AccessibilityNeoplasmsAdolescentCensusesChildCross-Sectional StudiesEthnicityHumansYoung Adult

Identifiers

PMID36656577
PMCPMC9856631

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.