Screening for Hemochromatosis and Iron Overload: Satisfaction with Results Notification and Understanding of Mailed Results in Unaffected Participants of the HEIRS Study
Bibliographic record
Abstract
AIM: The purpose of this study was to assess the level of satisfaction and understanding of test results, by a sample of non-C282Y homozygous participants in the hemochromatosis and iron overload screening (HEIRS) study, who received serum ferritin (SF), transferrin saturation (TS), and HFE gene test results by mail. METHODS: Approximately 1 month after receiving test results by mail, participants were surveyed about understanding of and satisfaction with results notification. RESULTS: Overall, participants were satisfied with receiving test results by mail. Participants receiving results with one or two HFE mutations or TS and/or SF levels outside the normal range (an "alert value") were less likely to be satisfied with this method of notification. Participants with normal HFE test results understood their results and recommendations better than those with one or two mutations. Although all participants received results letters in their native language, English-speaking participants had higher mean understanding scores than Mandarin, Vietnamese, or Spanish-speaking participants. CONCLUSION: Participants were satisfied with receiving test results by mail. However, the level of understanding of the results was not sufficient for this mode of results notification to stand alone, especially for non-English speaking participants, and all participants with one or more test results outside the normal range.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".