Usability of the Novel Liraglutide 3.0 mg Pen Injector Among Overweight or Obese Adult Patients With or Without Prior Injection Experience
Bibliographic record
Abstract
BACKGROUND: Obesity is associated with multiple comorbidities and increased mortality, making it an important target for treatment. However, achieving and maintaining weight loss by diet and physical activity remains challenging, and may often require pharmacotherapy. Liraglutide 3.0 mg has recently been approved for weight management in the United States, Canada, and EU. The current analysis used a summative usability test to assess safety and effectiveness, ease of use, and training requirements for the novel liraglutide 3.0 mg pen injector. METHODS: Of the 234 participants, half received instructions for use and video-based training and/or opportunity to handle the device. All participants (excluding pharmacists) performed 6 tasks followed by post- task interviews on task difficulty, device ease of use, and any use errors, close calls, and operational difficulties. Tasks included differentiation of correct box and pen injector, medication clarity assessment, normal, dose reversal, and end-of-content injection. Number/type of use errors, close calls, and operational difficulties were evaluated. RESULTS: All assessed participants interpreted the instructions for use correctly. No potentially serious use errors, and low numbers of nonserious errors, were reported. Overall, participants committed 105 use errors related to handling, with no potential for harm. A total of 25 close calls and 44 operational difficulties were reported without any pattern indicative of a design flaw. Marked differences in the incidence of events were observed for trained versus untrained participants regardless of prior injection experience. Participants rated ease of use as 6.4/7. CONCLUSIONS: The liraglutide 3.0 mg pen injector is safe and easy to use for liraglutide administration. New device features allow for safe use after brief training.
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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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".