Stoll Ryan, Pina Armando, Gary Kevin, Amresh Ashish
Cogn Behav Pract. 2017 Nov;24(4):393-404. doi: 10.1016/j.cbpra.2016.11.002.
Anxiety disorders are among the most common psychiatric problems in youth, fail to spontaneously remit, and place some youth at risk for additional behavioral and emotional difficulties. Efforts to target anxiety have resulted in evidence-based interventions but the resulting prevention effects are relatively small, often weakening over time. Mobile health (mHealth) tools could be of use to strengthen the effects of anxiety prevention efforts. Although a large number of mHealth apps have been developed, few have been evaluated in terms of usability prior to clinical effectiveness testing. Because usability is one of the main barriers to mHealth usage and adoption, the objective of this research was to evaluate the usability of a smartphone application (app) corresponding to an indicated prevention and early intervention targeting youth anxiety. To accomplish this, 132 children ( age = 9.65; 63% girls) and 45 service providers ( age = 29.13, 87% female) rated our app along five established dimensions of usability (ease of use, ease of learning, quality of support information, satisfaction, and stigma) using a standardized group-based testing protocol. Findings showed that the app was highly and positively rated by both youth and providers, with some variations (lower ratings when errors occurred). Path analyses findings also showed that system understanding was significantly related to greater system satisfaction, but that such relation occurred through the quality of support information offered by the app.
焦虑症是青少年中最常见的精神问题之一，不会自发缓解，且会使一些青少年面临更多行为和情绪问题的风险。针对焦虑症的努力已产生了循证干预措施，但预防效果相对较小，且往往会随着时间减弱。移动健康（mHealth）工具可能有助于增强焦虑症预防工作的效果。尽管已经开发了大量的移动健康应用程序，但在进行临床有效性测试之前，很少有应用程序经过可用性评估。由于可用性是移动健康应用使用和采用的主要障碍之一，本研究的目的是评估一款针对青少年焦虑症的指示性预防和早期干预的智能手机应用程序（应用）的可用性。为实现这一目标，132名儿童（年龄=9.65岁；63%为女孩）和45名服务提供者（年龄=29.13岁，87%为女性）使用标准化的基于小组的测试协议，根据五个既定的可用性维度（易用性、易学习性、支持信息质量、满意度和污名化）对我们的应用进行了评分。结果表明，该应用在青少年和提供者中都获得了高度的积极评价，但存在一些差异（出现错误时评分较低）。路径分析结果还表明，系统理解与更高的系统满意度显著相关，但这种关系是通过应用提供的支持信息质量产生的。
