Exploring internet needs and use among adolescents with haemophilia: a website development project
Bibliographic record
Abstract
Youth frequently access health information online, yet little is known about internet use among adolescents with haemophilia (AWH). A youth-centred, age-appropriate online programme is being developed to address the heightened educational needs of AWH as they transit from paediatric to adult care. To describe internet needs and use among AWH treated at the Hospital for Sick Children and determine the features that would make the website useable and desirable for this population. Semi-structured interviews addressed participants' internet use and thoughts about a website for AWH. The interviews were audio-recorded and transcribed verbatim. Three independent reviewers coded the data to determine descriptive categories and grouped them into themes. Eleven of 12 subjects approached consented to interviews. Data saturation was achieved. Most participants had used the internet to find haemophilia information, although none could recall specific websites they had visited for information. Some felt more comfortable using the internet than asking health care providers. Others liked the 24/7 availability of the internet if questions arose. Overall, they felt a website for AWH would help them to learn about haemophilia and explain it to others. Online social networking with an older peer mentor with haemophilia, as well as with others of their age was cited as a potentially valuable source of support. AWH are interested in a haemophilia website and have identified a variety of features which they believe may help to support them during transition to adult care and beyond. Website development is ongoing.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".