Anand Vibha, Ghosh Soumya, Anand Amit
IBM T.J. Watson Research Center, Cambridge, MA, USA.
Center for Behavioral Health, Cleveland Clinic, Cleveland, OH, USA.
Stud Health Technol Inform. 2017;245:280-284.
Mental health is the largest cost driver of healthcare. ClinicalTrials.gov is a web-based registry of trials conducted in human participants worldwide and serves as an important resource for both practice and research. We use the registry and dynamic topic modeling (DTM) methods to discover hidden topics and their evolution over last 17 years in trials in bipolar disorders. Our model suggests a "priority shift" from drugs to device and among populations studied in mental health trials. For example, transcranial magnetic stimulation for treatment resistant depression (TMS for TRD) trials have increased (χ = 52.99, p < 0.001, n = 187) while standardized drug safety and efficacy trials have remained constant (χ = 0.72, p = 0.39, n = 101) and more trials focused on pediatric and adolescents (χ = 2.98, p = 0.08, n = 133) may have been conducted since FDAAA 2007. We also derive unique data-driven insights in the discovered topic areas in this model based study.
心理健康是医疗保健中最大的成本驱动因素。ClinicalTrials.gov是一个基于网络的全球人体试验注册库，是实践和研究的重要资源。我们使用该注册库和动态主题建模（DTM）方法来发现双相情感障碍试验中隐藏的主题及其在过去17年中的演变。我们的模型表明，在心理健康试验所研究的人群中，出现了从药物到设备的“优先级转移”。例如，治疗难治性抑郁症的经颅磁刺激（TRD的TMS）试验有所增加（χ = 52.99，p < 0.001，n = 187），而标准化药物安全性和有效性试验保持不变（χ = 0.72，p = 0.39，n = 101），并且自2007年《食品和药物管理局修正法案》（FDAAA）以来，可能开展了更多针对儿童和青少年的试验（χ = 2.98，p = 0.08，n = 133）。在这项基于模型的研究中，我们还在发现的主题领域中获得了独特的数据驱动见解。
