Evidence map›Paper›PMID 39444414›Full record

ArticleTechnical innovations & patient support in radiation oncology2024

From novice to Expert: Reducing Breast Imaging rejection rates through physician mentorship in Advanced Practice Radiation therapy.

Clodagh Starrs, Sima Rabinowitz, Erin Moshier, Sheryl Green

Abstract read
In one paragraph

Article in Technical innovations & patient support in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Clodagh StarrsDepartment of Radiation Oncology, The Mount Sinai Hospital, New York, NY, United States.
Sima RabinowitzInstitute for Health Equity Research, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Erin MoshierDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, N Y, United States.
Sheryl GreenDepartment of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The study's goal was to evaluate the impact of a Radiation Oncologist (RO)-Radiation Therapist (RTT) mentorship on image approval rates for a breast population undergoing radiation therapy in a high-volume practice. The mentorship was undertaken within a large health system in partial fulfillment of the Expert Practice Module for a Masters (MSc) in Advanced Practice Radiotherapy and Oncology. Methods: Images were retrieved from the MOSAIQ EMR on breast diagnostic code. 1,295 images/115 patients were reviewed pre-mentorship (October 2019-March 2020) and compared with 1,047 images/91patients during/post-mentorship (April 2020-September 2020). The Anderson-Gill (AG) model was used to estimate the hazard ratio for image rejection. Rejected images were classified by reason and compared using Fisher's exact test. Concordance data (RO/RTT image rejection) were collected during Phase Three of the mentorship. Results: Of 115 patients assessed pre-mentorship, 16 (14 %) had at least 1 image rejected at any session. Of 91 patients assessed post-mentorship, 8 (9 %) had at least 1 image rejected. Likelihood of image rejection decreased by 54 %, with a hazard ratio of 0.46 [95 % CI: 0.24, 0.88]; p = 0.0195. Reasons for image rejection differed pre- and post-mentorship. Poor imaging technique accounted for rejection of 9 of 24 images (37.5 %) before compared to 0 of 11 images (0 %) post-mentorship. Other reasons for image rejection: depth at isocenter (25 % pre-mentorship; 18 % post-mentorship), supraclavicular medial border position (12.5 % vs. 9.09 %), isocenter location (12.5 % vs. 0 %), arm position (4.17 % vs. 54.55 %); hip alignment (8.33 % vs. 18.18 %). Concordance rate was 100 %. Conclusions: The mentorship proved successful in elevating the RTT's skills and image approval rates, while contributing to improvements in departmental imaging best practices.

Indexed as

Advanced PracticeBest practicesBreast image reviewMentorshipNovice to ExpertWorkflows

Identifiers

PMID39444414
PMCPMC11497484

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.