Usability of the Turkish Translation of the Dutch Talking Touch Screen Questionnaire for Physical Therapy Patients With a Turkish Background: Qualitative Study
Bibliographic record
Abstract
BACKGROUND: The Turkish translation of the Dutch Talking Touch Screen Questionnaire (TTSQ) has been developed to help physical therapy patients with a Turkish background in the Netherlands to autonomously elucidate their health problems and impairments and set treatment goals, regardless of their level of health literacy. OBJECTIVE: The aim of this study was to evaluate the usability of the Turkish TTSQ for physical therapy patients with a Turkish background with diverse levels of health literacy and experience in using mobile technology. METHODS: The qualitative Three-Step Test-Interview method was carried out to gain insight into the usability of the Turkish TTSQ. A total of 10 physical therapy patients participated. The interview data were analyzed using a thematic content analysis approach aimed at determining the accuracy and completeness with which participants completed the questionnaire (effectiveness), the time it took participants to complete the questionnaire (efficiency), and the extent to which the participants were satisfied with the ease of use of the questionnaire (satisfaction). The problems encountered by the participants in this study were given a severity rating, which was used to provide a rough estimate of the need for additional usability improvements. RESULTS: No participant in this study was able to complete the questionnaire without encountering at least one usability problem. A total of 17 different kinds of problems were found. On the basis of their severity score, 3 problems that should be addressed during future development of the tool were "Not using the navigation function of the photo gallery in Question 4 causing the participant to not see all presented response items;" "Touching the text underneath a photo in Question 4 to select an activity instead of touching the photo itself, causing the activity not to be selected;" and "Pushing too hard or tapping too softly on the touch screen causing the touch screen to not respond." The data on efficiency within this study were not valid and are, therefore, not reported in this study. No participant was completely satisfied or dissatisfied with the overall ease of use of the Turkish TTSQ. Two participants with no prior experience of using tablet computers felt that, regardless of what kinds of improvement might be made, it would just be too difficult for them to learn to work with the device. CONCLUSIONS: As with the Dutch TTSQ, the Turkish TTSQ needs improvement before it can be released. The results of this study confirm the conclusion of the Dutch TTSQ study that participants with low levels of education and little experience in using mobile technology are less able to operate the TTSQ effectively. Using a Dutch speaking interviewer and Turkish interpreter has had a negative effect on data collection in this study.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".