Usability Testing of a mHealth System for Swallowing Therapy in Patients Following Stroke
Bibliographic record
Abstract
Purpose The objective of this study was to evaluate the usability of a mobile health (mHealth) system designed for dysphagia exercise in persons with a history of stroke. Method Five participants with a history of stroke were recruited from a tertiary health center and assessed for their ability to use and interact with the system. After being introduced to the technology, participants were asked to independently complete five tasks, one at a time. Assistance was available when required or requested. Usability was evaluated with respect to effectiveness, efficiency, and user satisfaction when completing the prespecified goals. Results Four men and one woman between the ages of 50 and 83 years ( M = 65.4) completed the usability testing. Time from stroke onset varied from 1 month to 2.5 years. Additional poststroke challenges related to the usability of the mHealth system included reduced range of motion or mobility, vision, and short-term memory difficulties. Independent success (system effectiveness) varied in this user subgroup, and the research clinician or the family member was required to adjust the level and type of support they provided (system efficiency). All participants reported satisfaction with the use of the system. Conclusion Usability of and satisfaction with this mHealth system and others like it can be achieved in individuals who have had a stroke, either as an independent user or as a patient–caregiver dyad.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".