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Record W4323807063 · doi:10.1002/acm2.13952

AAPM task group report 275.S: Survey strategy and results on plan review and chart check practices in US and Canada

2023· article· en· W4323807063 on OpenAlexaffabout
Deborah Schofield, Leigh Conroy, William S. Harmsen, Jennifer L. Johnson, Michelle Wells, Lei Dong, Luis E. Fong de los Santos

Bibliographic record

VenueJournal of Applied Clinical Medical Physics · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsDemographicsTask groupChartDescriptive statisticsSurvey data collectionMedical physicsPlan (archaeology)Task (project management)PsychologyMedical educationMedicineStatisticsFamily medicineDemographyGeographyMathematicsEngineeringEngineering management

Abstract

fetched live from OpenAlex

BACKGROUND: AAPM Task Group (TG) 275 was charged with developing practical, evidence-based recommendations for physics plan and chart review clinical processes for radiation therapy. As part of this charge, and to characterize practices and clinical processes, a survey of the medical physics community was developed and conducted. Detailed analyses and trends based on the survey that exceeded TG report length constraints are presented herein. AIMS: The design, development, and detailed results of the TG- 275 survey as well as statistical analysis and trends are described in detail. This is complementary material to the TG 275 report. METHODS AND MATERIALS: The survey consisted of 100 multiple-choice questions divided into four main sections: 1) Demographics, 2) Initial Plan Check, 3) On-Treatment, and 4) End-of-Treatment Chart Check. The survey was released to all AAPM members who self-reported working in the radiation oncology field, and it was kept open for 7 weeks. Results were summarized using descriptive statistics. To study practice differences, tests of association were performed using data grouped by four demographic questions: 1) Institution Type, 2) Average number of patients treated daily, 3) Radiation Oncology Electronic Medical Record, and 4) Perceived Culture of Safety. RESULTS: The survey captured 1370 non-duplicate entries from the United States and Canada. Differences across practices were grouped and presented based on Process-Based and Check-Specific questions. A risk-based summary was created to show differences amongst the four demographic questions for checks associated with the highest risk failure modes identified by TG-275. CONCLUSION: The TG-275 survey captured a baseline of practices on initial plan, on-treatment, and end-of-treatment checks across a wide variety of clinics and institutions. The results of test of association showed practice heterogeneities as a function of demographic characteristics. Survey data were successfully used to inform TG-275 recommendations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.400
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2023
Admission routes2
Has abstractyes

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