Evidence map›Paper›PMID 35445412›Full record

ArticleHealth services research2022

Disparities in geographic access to medical oncologists.

Sruthi Muluk, Lindsay Sabik, Qingwen Chen, Bruce Jacobs, Zhaojun Sun, Coleman Drake

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Improving Rural Clinical Trial Enrollment: Recommendations From the Rural Health Working Group of the Alliance Clinical Trials Network.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Population-Based Impact of Rurality and Neighborhood-Level Socioeconomic Disadvantage on Pediatric Cancer Mortality in Washington State.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  15. Article
  16. 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

6 authors at 1 institution in 1 country.

Sruthi MulukUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-7239-1651
Lindsay SabikDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-0613-4929
Qingwen ChenDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.
Bruce JacobsDepartment of Urology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-1358-0764
Zhaojun SunDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.
Coleman DrakeDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-0618-0626
University of Pittsburgh · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
Training in Renal, GI, Endocrine, and Epithelial BiologyT35DK065521 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEFRANCO, DONALD B, JURCZAK, MICHAEL J. · 2004 to 2024
$811k
Geographic Access to Medication Assisted Treatment for Medicaid Enrollees with Opioid Use DisorderK01DA051761 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DRAKE, COLEMAN · 2020 to 2023
$692k
NCI NIH HHS P30 CA047904NIDA NIH HHS K01 DA051761NIDDK NIH HHS T35 DK065521
6 · The paper itself

Abstract

objectiveThe objective of this study is to identify disparities in geographic access to medical oncologists at the time of diagnosis. DATA SOURCES/STUDY

setting2014-2016 Pennsylvania Cancer Registry (PCR), 2019 CMS Base Provider Enrollment File (BPEF), 2018 CMS Physician Compare, 2010 Rural-Urban Commuting Area Codes (RUCA), and 2015 Area Deprivation Index (ADI). STUDY

designSpatial regressions were used to estimate associations between geographic access to medical oncologists, measured with an enhanced two-step floating catchment area measure, and demographic characteristics. DATA COLLECTION/EXTRACTION

methodsMedical oncologists were identified in the 2019 CMS BPEF and merged with the 2018 CMS Physician Compare. Provider addresses were converted to longitude-latitude using OpenCage Geocoder. Newly diagnosed cancer patients in each census tract were identified in the 2014-2016 PCR. Census tracts were classified based on rurality and socioeconomic status using the 2010 RUCA Codes and the 2015 ADI. PRINCIPAL

findingsLarge towns and rural areas were associated with spatial access ratios (SPARs) that were 6.29 lower (95% CI -16.14 to 3.57) and 14.76 lower (95% CI -25.14 to -4.37) respectively relative to urban areas. Being in the fourth ADI quartile (highest disadvantage) was associated with a 12.41 lower SPAR (95% CI -19.50 to -5.33) relative to the first quartile. The observed difference in a census tract's non-White population from the 25th (1.3%) to the 75th percentile (13.7%) was associated with a 13.64 higher SPAR (Coefficient = 1.10, 95% CI 11.89 to 15.29; p < 0.01), roughly equivalent to the disadvantage associated with living in the fourth ADI quartile, where non-White populations are concentrated.

conclusionsRurality and low socioeconomic status were associated with lower geographic access to oncologists. The negative association between area deprivation and geographic access is of similar magnitude to the positive association between larger non-White populations and access. Policies aimed at increasing geographic access to care should be cognizant of both rurality and socioeconomic status.

Indexed as

NeoplasmsOncologistsCatchment Area, HealthHealth Services AccessibilityHumansRural PopulationSocioeconomic Factorsaccess to carecancerdisparitiesenhanced two-step floating catchment areageographic accessoncology

Identifiers

PMID35445412
PMCPMC9441279
OpenAlexW4224223533

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.