A personalized genomic results e-booklet, co-designed and pilot-tested by families
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.
Bibliographic record
Abstract
Objective: To develop and evaluate a personalizable genomic results e-booklet that helps families understand their genomic testing results and navigate available resources. Methods: The need for the Genomics Results e-Booklet was identified by families, after which this tool was developed by a team of clinical researchers and three parent-advisors. We customized the genomic results e-booklet for 50 families participating in a genomic sequencing research study. We conducted an assessment using a 19-question survey and semi-structured interviews to elicit feedback and iteratively improve the tool. Results: 25 users provided feedback via questionnaires and seven respondents were interviewed. Genomic Results e-Booklet recipients responded favorably: 96% of participants stated that it helped them remember information shared during their results appointment, 80% said it had or would help them communicate their results with other healthcare providers, 68% felt that it helped to identify and guide their next steps, and 72% anticipated that the e-booklet would have future utility. Conclusion: The Genomic Results e-Booklet is a patient and family-oriented resource that complements post-test genetic counselling. Innovation: Compared to traditional laboratory reports and clinical letters, the Genomics Results e-Booklet is patient-conceived and patient-centered, and allows clinicians to efficiently personalize content and prioritize patient understanding and support.
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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 | 0.000 | 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 it