Evidence map›Paper›PMID 35477150›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

Associations of Healthcare Affordability, Availability, and Accessibility with Quality Treatment Metrics in Patients with Ovarian Cancer.

Tomi F Akinyemiju, Lauren E Wilson, Nicole Diaz, Anjali Gupta, Bin Huang, Maria Pisu, April Deveaux, Margaret Liang, Rebecca A Previs, Haley A Moss and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

15 authors at 7 institutions in 1 country.

Tomi F AkinyemijuDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-1412-3234
Lauren E WilsonDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-5953-2293
Nicole DiazDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-2178-1497
Anjali GuptaDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Bin HuangDepartment of Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington, Kentucky.
Maria PisuDivision of Preventive Medicine and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0001-9329-3268
April DeveauxDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-1185-7750
Margaret LiangDivision of Preventive Medicine and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama.
Rebecca A PrevisDivision of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0001-8087-9120
Haley A MossDivision of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina.
Ashwini JoshiDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Kevin C WardGeorgia Cancer Registry, Emory University, Atlanta, Georgia.
Maria J SchymuraNew York State Department of Health, New York State Cancer Registry, Albany, New York.ORCID 0000-0003-0587-8667
Andrew BerchuckDivision of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina.
Arnold L PotoskyCancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
Duke University · USDuke Medical Center · USUniversity of Alabama at Birmingham · USEmory University · USGeorgetown University · USNew York State Department of Health · USUniversity of Kentucky · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI KATHLEEN L. O'CONNOR · 2013 to 2026
$38.3M
Stress-related inflammation and racial disparities in ovarian cancerR37CA233777 · NCI · DUKE UNIVERSITY · PI AKINYEMIJU, TOMI F · 2019 to 2025
$4.2M
NCI NIH HHS P30 CA177558NCI NIH HHS R37 CA233777
6 · The paper itself

Abstract

backgroundDifferential access to quality care is associated with racial disparities in ovarian cancer survival. Few studies have examined the association of multiple healthcare access (HCA) dimensions with racial disparities in quality treatment metrics, that is, primary debulking surgery performed by a gynecologic oncologist and initiation of guideline-recommended systemic therapy.

methodsWe analyzed data for patients with ovarian cancer diagnosed from 2008 to 2015 in the Surveillance, Epidemiology, and End Results-Medicare database. We defined HCA dimensions as affordability, availability, and accessibility. Modified Poisson regressions with sandwich error estimation were used to estimate the relative risk (RR) for quality treatment.

resultsThe study cohort was 7% NH-Black, 6% Hispanic, and 87% NH-White. Overall, 29% of patients received surgery and 68% initiated systemic therapy. After adjusting for clinical variables, NH-Black patients were less likely to receive surgery [RR, 0.83; 95% confidence interval (CI), 0.70-0.98]; the observed association was attenuated after adjusting for healthcare affordability, accessibility, and availability (RR, 0.91; 95% CI, 0.77-1.08). Dual enrollment in Medicaid and Medicare compared with Medicare only was associated with lower likelihood of receiving surgery (RR, 0.86; 95% CI, 0.76-0.97) and systemic therapy (RR, 0.94; 95% CI, 0.92-0.97). Receiving treatment at a facility in the highest quartile of ovarian cancer surgical volume was associated with higher likelihood of surgery (RR, 1.12; 95% CI, 1.04-1.21).

conclusionsRacial differences were observed in ovarian cancer treatment quality and were partly explained by multiple HCA dimensions. IMPACT: Strategies to mitigate racial disparities in ovarian cancer treatment quality must focus on multiple HCA dimensions. Additional dimensions, acceptability and accommodation, may also be key to addressing disparities.

Indexed as

Ovarian NeoplasmsWhite PeopleAgedBenchmarkingBlack or African AmericanCarcinoma, Ovarian EpithelialCosts and Cost AnalysisFemaleHealthcare DisparitiesHumansMedicareUnited States

Identifiers

PMID35477150
PMCPMC9250633
OpenAlexW4224991030

What OpenQuestion holds

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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 OpenQuestion graph.