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Evaluating the use of educational videos in a medical oncology sarcoma clinic to improve patient knowledge and satisfaction.

2025· article· en· W4410812540 on OpenAlex
Fabio Murtas, J. Matharu, Mona Domlog, Karen Lawrie, Abdulazeez Salawu, Abha A. Gupta, Yangqing Deng, Lisa Avery, Harleen Toor, Janet Papadakos, Albiruni Ryan Abdul Razak, Geoffrey Alan Watson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsUniversity Health NetworkUniversity of TorontoMount Sinai HospitalPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineSarcomaOncologyFamily medicineInternal medicineMedical physicsPathology

Abstract

fetched live from OpenAlex

TPS9047 Background: The first clinic visit is a pivotal step in the journey of a cancer patient (pt), often accompanied by anxiety due to future uncertainty. During this initial visit, pts receive extensive information regarding their diagnosis, treatment plan and prognosis. Early education and tailored guidance can potentially enhance understanding, aid decision-making, and alleviate distress. This study evaluates the impact of sarcoma-specific educational videos on improving pts’ knowledge of their disease and treatment options before their first clinic appointment . Results will help to identify ways to enhance pt education and satisfaction. Methods: All newly diagnosed, English speaking, sarcoma pts referred to the sarcoma medical oncology clinic at Mount Sinai Hospital and Princess Margaret Cancer Centre will be eligible. The primary objective is to assess changes in pts’ and caregivers’ knowledge and perceptions of sarcoma and its treatment after educational intervention as measured by changes in global responses between baseline and post educational intervention surveys. Secondary endpoints include understandability and satisfaction with the educational videos, using validated tools including Pt Education Materials Assessment Tool (PEMAT) and Suitability Assessment of Materials (SAM) instrument. A pilot study (n = 20) will first be performed to assess feasibility, acceptability and determine sample size. For the interventional study, pts will be randomized in 1:1 ratio to either view the educational videos prior to their consult, or a control arm where they will receive standard of care information. Pts on the experimental arm will view four short educational videos (approximately 5-7 minutes each) which focus on 1) what to expect at their initial visit, 2) sarcoma team composition and respective roles, 3) systemic therapy overview and 4) introduction to clinical trials. The study will involve distribution of surveys at 3 different timepoints, each consisting of 15-20 multiple choice questions and taking 3-5 minutes to complete. The first baseline survey will be completed by pts in both arms before their initial consult and is designed to assess pts’ initial knowledge and perceptions of their sarcoma and treatment options. The second survey, to be completed only by pts on the experimental arm after watching the educational videos, will measure changes in pts’ perceptions and overall satisfaction. A third and final survey will be completed by pts in both arms after their initial consult with the medical oncologist to assess for any further changes. A knowledge quiz will also be given to the pts on the experimental arm both before and after they watch the educational videos to evaluate changes in their understanding of sarcoma and its management. If pts are accompanied by a caregiver, they will also be invited to participate in this study.

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.

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)0.016
metaresearch head score (Gemma)0.091
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.091
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)0.0010.000

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 head0.449
GPT teacher head0.662
Teacher spread0.213 · 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