Assessing the Impact of a Serious Game (MedSMARxT: Adventures in PharmaCity) in Improving Opioid Safety Awareness Among Adolescents and Parents: Quantitative Study
Bibliographic record
Abstract
BACKGROUND: The opioid crisis continues to worsen across the United States, affecting people of all demographics. Few evidence-based interventions exist for educating families, particularly those with adolescents, about opioid prescription safety. Serious games have demonstrated impacts in improving medication-related outcomes for various health conditions. The characterizing goal of this serious game is to improve opioid safety knowledge and awareness among adolescents and their families. OBJECTIVE: T: Adventures in PharmaCity, designed to foster opioid safety awareness among adolescents and their parents. METHODS: A national sample of parents and their adolescent children was recruited through Qualtrics research panels, social media, listservs, and snowball sampling. Eligible participants were adolescents aged between 12 and 18 years and their parents. Study participants were required to reside in the United States; speak, read, and understand English; and have access to a computer with a webcam. Parent-child dyads completed pregame and postgame surveys and participated in gameplay for up to 30 minutes. Primary outcome scales have been previously evaluated by the study team. RESULTS: A total of 60 adolescent participants and 68 parent participants met full attention criteria for inclusion in this study. Statistical analysis confirmed that both adolescents' and parents' concept scores improved from baseline regarding opioid safety self-efficacy (adolescent: mean 0.35, SD 0.60; P<.001; parent: mean 0.28, SD 0.42; P<.001), perceived knowledge (adolescent: mean 1.08, SD 1.04; P<.001; parent: mean 0.56, SD 0.55; P<.001), behavioral intent (adolescent: mean 0.26, SD 0.39; P<.001; parent: mean 0.25, SD 0.32; P<.001), safe storage (adolescent: mean 0.12, SD 0.27; P<.001; parent: mean 0.03, SD 0.11; P=.03), disposal knowledge (adolescent: mean 0.10, SD 0.27; P=.006; parent: mean 0.07, SD 0.16; P<.001), and knowledge about misuse behavior (adolescent: mean 0.05, SD 0.14; P=.002; parent: mean 0.04, SD 0.10; P<.001). Participant groups, stratified by who completed and who did not complete gameplay, improved their knowledge and awareness, with no significant differences between subgroups. CONCLUSIONS: T: Adventures in PharmaCity is an intervention with the capability of teaching parents and adolescents about safe opioid prescription practices. Further studies and game refinement are needed to demonstrate the effectiveness of a game-based intervention in clinical settings and community pharmacies.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".