Department of Dermatology, Mayo Clinic, Scottsdale, USA.
Department of Dermatology, Mayo Clinic, Scottsdale, USA.
Patient Educ Couns. 2018 Apr;101(4):738-742. doi: 10.1016/j.pec.2017.11.003. Epub 2017 Nov 9.
To evaluate the effectiveness of a game-based learning (GBL) intervention, Tapamole, in improving recognition of the features of melanoma (MM) compared to a written education intervention.
Tapamole, an online education intervention, was developed using GBL. Participants were voluntarily recruited from the Dermatology waiting room and randomized to three groups: game, pamphlet, and no intervention. Participants completed a pre-intervention survey, post-intervention survey, and test on MM recognition. Clustered binary data equations were used to calculate sensitivity, specificity, and accuracy for each group and GEE model with log link was used to compare measures between groups.
Sixty participants were recruited. The sensitivity for MM recognition in the game group was 100% compared to 95% for the pamphlet group. The specificity (40.8% vs 53.3%) and accuracy (60.6% vs 67.2%) of the game and pamphlet groups were similar. Participants in the game group reported higher enjoyment than those in the pamphlet group.
GBL was as effective as the written intervention in identifying features of MM.
With increasing use of the Internet for health information, it is critical to have effective online education interventions. GBL education tools are effective, enjoyable, and should be used to improve MM patient education.
评估基于游戏的学习（GBL）干预措施 Tapamole 在改善对黑色素瘤（MM）特征的识别方面的效果，与书面教育干预措施相比。
Tapamole 是一种在线教育干预措施，使用 GBL 开发。参与者自愿从皮肤科候诊室招募，并随机分为三组：游戏组、小册子组和无干预组。参与者完成了预干预调查、后干预调查和 MM 识别测试。使用聚类二项数据方程计算每组的敏感性、特异性和准确性，并使用对数链接的 GEE 模型比较组间措施。
共招募了 60 名参与者。游戏组对 MM 识别的敏感性为 100%，而小册子组为 95%。游戏组和小册子组的特异性（40.8%比 53.3%）和准确性（60.6%比 67.2%）相似。与小册子组相比，游戏组的参与者报告了更高的享受度。
GBL 在识别 MM 特征方面与书面干预一样有效。
随着互联网在健康信息方面的使用越来越多，拥有有效的在线教育干预措施至关重要。GBL 教育工具既有效又有趣，应用于改善 MM 患者的教育。
