| Literature DB >> 32618571 |
Olufunmilola Abraham1, Tanvee Thakur1, Randall Brown2.
Abstract
BACKGROUND: Adolescents in North America are severely affected by the opioid crisis, yet there are limited educational resources for educating teens about prescription opioid safety and misuse. Empirical literature lacks evidence regarding teen education about prescription opioid safety through serious games and lacks conceptual models and frameworks to guide the process of game development for this purpose.Entities:
Keywords: adolescents; educational technology; games; medication adherence; mobile phone; opioid; video games; youth
Year: 2020 PMID: 32618571 PMCID: PMC7367520 DOI: 10.2196/18207
Source DB: PubMed Journal: JMIR Serious Games Impact factor: 4.143
Figure 1Serious game framework for improving medication safety in community settings.
Figure 2Anthropomorphized characters in the MEDSMARxT game.
Figure 3In-game cellphone dialogue.
Figure 4Home scenario in the game.
Figure 5Bus scenario in the game.
Figure 6School classroom scenario in the game.
Figure 7Repeating gameplay feature.
Playtest sites and characteristics reported.
| Site | Age (years) | Participants | Number of playtests |
| Middle school | 11-13 | Overall, 41.4% (132/319) students; 60.6% (80/132) male; race/ethnicity: 59.8% (79/132) white, 13.6% (18/132) Latino, 8.3% (11/132) African American, and 17.4% (23/132) Asian | 6 |
| High school | 15-18 | Overall, 4.4% (14/319) students; 7% (1/14) female; race/ethnicity: 79% (11/14) white and 7% (1/14) Asian | 1 |
| High school | 15-17 | Overall, 24.5% (78/319) students | 3 |
| Public library | 14-19 | Overall, 5.3% (17/319) high school students; 53% (9/17) male; race/ethnicity: 35% (6/17) white, 18% (3/17) Latino, 29% (5/17) African American, 6% (1/17) Native American, and 12% (2/17) Asian | 1 |
| Public library | 12-15 | Overall, 2.2% (7/319) students; 100% (7/7) male and white | 1 |
| Youth program | 13-18 | Not reported | 3 |
| University undergraduate students | 20-21 | Not reported | 3 |
| University undergraduate and professional students | 17-24 | Overall, 5.0% (16/319); race/ethnicity: 44% (7/16) white and 56% (9/16) Asian | 2 |
| University student pharmacists | 24-26 | Overall, 17.2% (55/319); race/ethnicity: 91% (50/55) white | 1 |
| University science fair | Not reported | Children and parents (not reported) | N/Aa |
aNot applicable.