Feasibility and Acceptability of Implementing Site-Specific Patient-Reported Outcome Measure in Head and Neck Cancer Clinics: A Prospective Institutional Study
Bibliographic record
Abstract
PurposeTo assess the feasibility and acceptability of implementing the MD Anderson Symptom Inventory–Head and Neck (MDASI-HN) module in cancer clinics and its effect on patient-reported experience.MethodsWe conducted a prospective, longitudinal study at a tertiary cancer institution between September 2020 and August 2021. Patients with newly diagnosed head and neck (HN) cancer who were evaluated to receive radiation therapy with or without chemotherapy and could communicate in English were approached to participate. The primary outcome was feasibility and acceptability of the MDASI-HN implementation in the radiation oncology department assessed by patient and provider exit surveys. Secondary outcomes were patient-reported experience as recorded by a shortened Your Voice Matters survey (YVM) in 2 cohorts pre- and post-MDASI-HN implementation and symptom scores. Descriptive statistics were used for exit surveys and symptom scores. Mann-Whitney tests were used to assess differences in positive responses between pre- and postimplementation for each YVM question. Cochrane-Armitage tests were used to examine changes in patient-reported experience over time.ResultsFifty-one patients were enrolled in the postimplementation cohort and 29 (60%) responded to the exit survey. Eighty-nine percent of patients reported that MDASI-HN made it easier to remember symptoms, and 86% recommend its use in routine care. Four of the 5 radiation oncology HN providers (80%) responded to exit surveys; 75% felt the MDASI-HN provided clinically relevant information, improved communication with patients, and did not increase clinic time. The overall patient-reported experience was not affected by the implementation (P = .82). The probability of positive responses over time was significant (P = .025) in the clinic coordination domain for the postimplementation cohort.ConclusionsImplementation of MDASI-HN was feasible and acceptable by patients and providers. Although the overall patient-reported experience was not affected by implementation, some aspects improved as treatment progressed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".