Evidence map›Paper›PMID 36942280›Full record

ArticleGynecologic oncology reports2023

Insurance and racial disparities in prior authorization in gynecologic oncology.

Anna Jo Bodurtha Smith, Lakeisha Mulugeta-Gordon, Daniella Pena, Genevieve P Kanter, Justin E Bekelman, Ashley Haggerty, Emily M Ko

Abstract read
In one paragraph

Article in Gynecologic oncology reports, 2023. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Anna Jo Bodurtha SmithDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Pennsylvania Health Systems, Philadelphia, PA, United States.
Lakeisha Mulugeta-GordonDepartment of Obstetrics and Gynecology, University of Pennsylvania Health Systems, Philadelphia, PA, United States.
Daniella PenaCornell University, Ithaca, NY, United States.
Genevieve P KanterDepartment of Medicine, University of Pennsylvania Health Systems, Philadelphia, PA, United States.
Justin E BekelmanDepartment of Radiation Oncology, University of Pennsylvania Health Systems, Philadelphia, PA, United States.
Ashley HaggertyDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Pennsylvania Health Systems, Philadelphia, PA, United States.
Emily M KoDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Pennsylvania Health Systems, Philadelphia, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While prior authorization aims to reduce unnecessary care, it may limit or delay medically necessary care. Delays in cancer care can impact survival and are more common in historically-marginalized populations. Our objective was to examine to what extent disparities occurred in prior authorizations for gynecologic oncology. Using electronic medical records, we performed a retrospective review of prior authorization occurrence during gynecologic oncology care and analyzed the association with patient race and insurance in a multivariate regression model. In this cohort of 1,406 patients treated at an academic gynecologic oncology practice, patients with Medicare Advantage and patients of Asian descent were more likely to experience prior authorization. Addressing insurance-mediate disparities, such as in the occurrence of prior authorization, may help reduce disparities in gynecologic cancer care.

Indexed as

EHR, Electronic health recordEndometrial cancerHealth disparitiesInsuranceMedicaidMedicareOvarian cancer

Identifiers

PMID36942280
PMCPMC10024078

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.