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Exploring internet needs and use among adolescents with haemophilia: a website development project

2011· article· en· W1913410488 on OpenAlexafffund
Lynn Sterling, Joyce Nyhof‐Young, V. Blanchette, Vicky R. Breakey

Bibliographic record

VenueHaemophilia · 2011
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsHospital for Sick ChildrenToronto General HospitalUniversity of Toronto
FundersUniversity of Toronto
KeywordsThe InternetMedicineHaemophiliaPopulationMedical educationFamily medicineInternet privacyPediatricsWorld Wide Web

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.194
GPT teacher head0.288
Teacher spread0.094 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations24
Published2011
Admission routes2
Has abstractyes

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