个性化标签:在选择和使用过程中支持自我治疗患者的决策策略
Lanqing Liu1, Mark W Becker2, Sukhdeep Singh3
1School of Packaging, Michigan State University, East Lansing, Michigan, United States of America.
PloS one
|February 2, 2026
概括
个性化标签,使用增强现实,显著改善了消费者对非处方 (OTC) 药物适宜性的决定. 与标准的药物信息标签 (DFL) 相比,受过教育的用户在个性化标签下显示出更快,更准确的选择.
科学领域:
- 消费者健康信息学
- 人与计算机的交互
- 药物安全 药物安全
背景情况:
- 消费者通过非处方药 (OTC) 自行治疗是普遍存在的.
- 标准药物事实标签 (DFL) 经常被忽视,导致药物使用决策不足.
- 现有的DFL信息可能无法充分指导消费者选择合适的OTC.
研究的目的:
- 评估OTC药物新型"个性化标签"战略的有效性.
- 评估个性化标签是否能提高消费者决策的准确性和效率.
- 为了比较使用个性化标签与标准 DFL 的决策性能.
主要方法:
- 一个概念验证研究,使用基于计算机的绝对判断任务.
- 72名参与者被分为一个概念教育组和一个控制组.
- 参与者使用标准和个性化标签对OTC适当性做出二元决策 (是/否),并记录决策准确性和时间.
主要成果:
- 与标准标签相比,概念教育组在个性化标签下显示出明显更高的准确性和更快的决策时间.
- 对照组在个性化标签和标准标签之间没有显著差异,这凸显了用户教育的重要性.
- 对于"适合使用" (是的) 的决策时间比"不适合使用" (不) 的决策更快.
结论:
- 个性化标签,当被消费者理解时,可以显著提高关于OTC药物适当性的决策.
- 增强现实界面显示了改善药物安全和消费者信心的希望.
- 需要进一步的研究来验证这些研究结果在现实世界中设置在不同的人口和产品类型.
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