Evidence map›Paper›PMID 35118213›Full record

ArticleAdvances in radiation oncology

Oncology Trainee Perceptions of the Prior Authorization Process: A National Survey.

Hyun Kim, Amar Srivastava, Prashant Gabani, Elizabeth Kim, Hohyun Lee, Katrina S Pedersen

Abstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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  6. Teaming in Graduate Medical Education: Ward Rounds and Beyond.Journal of medical education and curricular development
    Article
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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

6 authors.

Hyun KimDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Amar SrivastavaRadiation Oncology, The Oregon Clinic, Portland, Oregon.
Prashant GabaniRadiation Oncology, Baylor Scott & White Clinic, Round Rock, Texas.
Elizabeth KimDepartment of Anesthesia, University of Washington, Seattle, Washington.
Hohyun LeeWashington University, St. Louis, Missouri.
Katrina S PedersenDepartment of Medicine, Division of Oncology, Section of Medical Oncology, Washington University School of Medicine, St. Louis, Missouri.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe medical trainee perspective regarding the prior authorization process has not been previously assessed. Here we evaluate the perceptions of radiation and medical oncology trainees regarding the prior authorization process and its effect on their training and patient care. METHODS AND MATERIALS: A 12-question, nonincentivized, electronic national survey of radiation and medical oncology trainees at all Accreditation Council for Graduate Medical Education accredited oncology programs was conducted. Participation, perspectives, and experiences with the prior authorization process were assessed by Likert scale, free response, and multiple response selection.

resultsBetween January and March of 2019, the survey was distributed to 1505 trainees at 76 institutions with responses from 174/616 radiation (28.2%) and 139/889 medical oncology trainees (15.6%). The majority (69.2%) reported participating in the prior authorization process (radiation: 78.2% vs medical: 57.6%;

conclusionsThese data indicate that trainees in US oncology programs are active participants in the prior authorization process and report that prior authorization approvals negatively influence their medical training and the quality of patient care. Additional efforts to revise the insurance approval process are warranted.

Identifiers

PMID35118213
PMCPMC8792423

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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.