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Usability Testing of An Online Transition Program for Adolescents with Hemophilia

2011· article· en· W2579369645 on OpenAlexaffabout
Vicky R. Breakey, Ashley Warias, Danial M. Ignas, Victor S. Blanchette, Jennifer Stinson

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsInstitute for Clinical Evaluative SciencesSickKids FoundationMcMaster UniversityHospital for Sick Children
Fundersnot available
KeywordsUsabilityThematic analysisThe InternetMedical educationPsychologyMultimediaMedicineApplied psychologyWorld Wide WebComputer scienceQualitative researchHuman–computer interaction

Abstract

fetched live from OpenAlex

Abstract Abstract 4777 Purpose: This study explored the usability of a new Internet-based educational program of disease-specific information, self-management strategies and social support for adolescents with hemophilia. Methods: A comprehensive eight-module educational website was developed, based on results of an in-depth needs assessment. The website was tested for usability, using qualitative methods that included semi-structured, audio taped interviews and observation by a trained observer. To determine the usability and intuitiveness of the user interface of the “Teens Taking Charge: Managing Hemophilia Online” intervention, testing occurred in three cycles (4 participants per cycle). Participants were asked to work through standardized parts/features of the program, with changes to the prototype made after each cycle. Thematic analysis using a collaborative and iterative process was used to organize data into categories that reflected the emerging themes. Results: A purposive sample of twelve adolescents (range 12–18 years, mean 15.4 years) was recruited from a Canadian tertiary care center. All of the participants had access to a computer at home and felt comfortable using the Internet. Teens responded positively to the content, appearance and theme of the website (promoting self-management in youth with hemophilia). Subjects thought that it was easy to navigate, use and understand. Overall, they felt the content was appropriate and geared to meet the unique needs of adolescents with hemophilia. The multi-media components (videos, animations and quizzes) were thought to enrich the experience and make the program appealing. Adolescents provided ideas on how the website user-interface could be improved in terms of its usability (navigation, format and layout). Minor changes to the website user-interface were made and tested after the first and second cycles of testing. No further problems were identified in final cycle of testing. At the teens' suggestion, additional social media elements were added (discussion board, “ask the expert” section) to build in elements of support and increase interactivity. Most participants felt this program would be helpful prior to transition of care and beyond. Conclusions: Usability testing was the crucial first step in ensuring the acceptability and ease of use of “Teens Taking Charge: Managing Hemophilia Online”. Findings from this study were used to refine the website prototype. A pilot study is underway to determine the feasibility of using a randomized controlled trial to study the Internet-based self-management program. Disclosures: Breakey: Baxter Bioscience: Research Funding, Salary Support. Ignas:Baxter Bioscience: Salary Support.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.089
GPT teacher head0.328
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2011
Admission routes2
Has abstractyes

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