Kizakevich Paul N, Eckhoff Randall, Weger Stacey, Weeks Adam, Brown Janice, Bryant Stephanie, Bakalov Vesselina, Zhang Yuying, Lyden Jennifer, Spira James
RTI International, Research Triangle Park, NC, USA.
National Center for PTSD, Veterans Health Affairs, Honolulu, HI, USA.
Stud Health Technol Inform. 2014;199:35-9.
With the emergence of mobile health (mHealth) apps, there is a growing demand for better tools for developing and evaluating mobile health interventions. Recently we developed the Personal Health Intervention Toolkit (PHIT), a software framework which eases app implementation and facilitates scientific evaluation. PHIT integrates self-report and physiological sensor instruments, evidence-based advisor logic, and self-help interventions such as meditation, health education, and cognitive behavior change. PHIT can be used to facilitate research, interventions for chronic diseases, risky behaviors, sleep, medication adherence, environmental monitoring, momentary data collection health screening, and clinical decision support. In a series of usability evaluations, participants reported an overall usability score of 4.5 on a 1-5 Likert scale and an 85 score on the System Usability Scale, indicating a high percentile rank of 95%.
随着移动健康(mHealth)应用的出现,对开发和评估移动健康干预措施的更好工具的需求日益增长。最近,我们开发了个人健康干预工具包(PHIT),这是一个软件框架,可简化应用程序的实施并促进科学评估。PHIT集成了自我报告和生理传感器仪器、基于证据的顾问逻辑以及冥想、健康教育和认知行为改变等自助干预措施。PHIT可用于促进研究、慢性病干预、危险行为、睡眠、药物依从性、环境监测、瞬时数据收集健康筛查和临床决策支持。在一系列可用性评估中,参与者在1-5李克特量表上的总体可用性得分为4.5,在系统可用性量表上得分为85分,表明百分位排名高达95%。