Development process and patient usability preferences for a touch screen tablet–based questionnaire
Bibliographic record
Abstract
We sought to design a touch tablet asthma questionnaire while identifying patient preferences for usability features of such questionnaires. We created an evidence-based prototype and employed rapid-cycle design (semi-structured focus group testing, analysis, corresponding modifications, re-testing) with asthma patients aged ⩾16 years. We analyzed transcripts using deductive and inductive content analysis. Quantitative measures included Likert-type-scale responses, the System Usability Scale, and questionnaire completion times. There were 20 participants across five focus groups (15/20 female, age 49.1 ± 15.6 years). Usability-related themes included (1) "Touch Technology" (hygiene, touch technology familiarity, ease of use) and (2) "Questionnaire Design" (visual characteristics, navigation). Completion time was 11.7 ± 5.9 min. Summative Likert-type scale responses suggested high system usability, as did a System Usability Scale score of 84.2 ± 14.7. In summary, Attention to specific technology- and design-related preferences can result in a highly usable patient-facing touch tablet questionnaire. Our findings can inform touch questionnaire design across other diseases.
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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 | 0.030 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".