Development and Testing of an Adjuvant Radiotherapy Decision Aid for Older Women Diagnosed with Stage I Breast Cancer: A Pilot Study
Bibliographic record
Abstract
Background Whole breast irradiation therapy (WBRT), accelerated partial breast irradiation (APBI), and omission of radiotherapy (ORT) are options for women aged 65 years and older with low-risk breast cancer post lumpectomy. Aim The aim of the study was to develop and pilot a decision aid pamphlet (DA), among women aged 65 years and older with low-risk breast cancer and who were undergoing or had undergone WBRT, to ensure they were fully informed about the different options for radiation treatment following lumpectomy. Methods We piloted the decision aid with 40 participants, women aged 65-86 years with low-risk breast cancer and who had undergone or were undergoing WBRT. The women completed a pre-DA Decisional Conflict Scale (DCS) and post-DA DCS, Knowledge, Preparation for Decision-Making and Acceptability questionnaires. We then used descriptive statistics to compare the DCS scores before and after distributing the decision aid. Results The median age of the 40 participants was 72 years (range, 65-86 years), 38% less than 70, 48% between 70 and 80 and 15% over 80. Ethnicity included 53% Caucasians and the remaining 48% African-Americans, Asians, Europeans, and others. Thirty-three percent completed high school, 25% college/university, and 7.5% elementary education. Seventy-eight percent had T1 and 23% T2 breast cancer. Thirty-three percent completed RT less than one year prior to the study, 30% between one to two years, and 38% greater than two years. The median pre-DA DCS score was 31.2 (31.2-90.6), and the median post-DA DCS score was 23.4 (0-75.0). Six (6/40) patients scored 0 on the DCS post intervention, while 13 (13/40) scored less than 15.6. The median knowledge score was 70%. Preparation for decision-making median score was 90%. Ninety-nine percent stated that the DA was useful for future patients. Conclusion We piloted a DA that aimed to provide the necessary information for women aged 65 years and older with low-risk breast cancer, to understand radiation treatment options post lumpectomy. The results obtained from the study highlighted the utility of the DA in increasing patient comprehension about the different treatment options, reducing decisional conflict in terms of perceptions of uncertainty and preparing patients to engage with their radiation oncologist during the treatment decision-making process. Ultimately, this study promoted the importance of patient-centered care in geriatric oncology by piloting this DA to see its effectiveness while also being responsive to patient's thoughts regarding the tool, so as to have their values guide its further development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".