Jin Zhi-Geng, Zhang Zhe-Qi, Liu Bin-Bin, Wang Hao, Yang Ying, Ren Li-Na, Zhang Hui, Ji Wei, Zhai Zhen-Guo, Guo Yu-Tao
Department of Pulmonary Vascular and Thrombotic Disease, Sixth Medical Center of Chinese PLA General Hospital, Beijing, China.
Chinese PLA Medical School, Beijing, China.
JMIR Res Protoc. 2025 Jun 5;14:e67254. doi: 10.2196/67254.
Venous thromboembolism (VTE) is a significant public health issue, with a rising global incidence despite extensive research efforts. Patient-centered care, which tailors treatment to individual needs, has shown potential in enhancing outcomes. The integration of smart technologies with psychological frameworks such as the health belief model and the knowledge-attitude-practice (KAP) model may further improve patient engagement and adherence. To address this, we have developed a smart technique-assisted patient-centered care mobile health app for managing VTE (mVTEA), which integrates psychological frameworks to improve patient outcomes in VTE management.
This study aims to investigate the impact of the mVTEA app on the knowledge, attitudes, and practices of VTE in patients with or at high risk of VTE.
The SmaVTE (smart technology facilitated patient-centered venous thromboembolism management) study is a 2-armed, single-center, parallel-group, randomized controlled trial. A total of 256 hospitalized patients with or at high risk of VTE will be recruited on the day of their discharge from August 2024 to June 2025. Participants will be randomly allocated to either the mVTEA management group or the routine management group in a 1:1 ratio. The mVTEA management group (n=128) will receive patient-centered VTE management facilitated by the mVTEA app after discharge. The routine management group (n=128) will be administered conventional postdischarge management according to local clinical practice. The KAP of patients will be assessed by a structured KAP questionnaire on VTE. The primary outcome is the difference in patients' KAP on VTE at 3-month follow-up between the 2 groups. Secondary outcomes include scores on each domain of the questionnaire, quality of life, VTE events, chronic thromboembolic pulmonary hypertension, chronic thromboembolic pulmonary disease, postpulmonary embolism syndrome, major bleeding events, VTE-related hospitalizations or rehospitalizations, deaths, and new-onset atrial fibrillation or atrial flutter at 3-month follow-up.
Participants are currently being recruited. The first participant was enrolled in August 2024, which marked the official start of the study. The recruitment process is expected to be completed in June 2025. As of the submission of the paper, 185 patients had been enrolled in this clinical trial. At present, all included patients are being followed up according to the outlined schedule.
The SmaVTE study offers a pioneering approach to VTE prevention and treatment by combining smart technology with patient-centered care and established theoretical frameworks. The findings could significantly impact clinical practice and inspire further research into the integration of smart technologies with behavioral science theories.
ClinicalTrials.gov NCT06350331; https://clinicaltrials.gov/study/NCT06350331.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67254.
静脉血栓栓塞症(VTE)是一个重大的公共卫生问题,尽管进行了广泛的研究,但全球发病率仍在上升。以患者为中心的护理,即根据个体需求定制治疗方案,已显示出改善治疗效果的潜力。将智能技术与健康信念模型和知识-态度-行为(KAP)模型等心理框架相结合,可能会进一步提高患者的参与度和依从性。为解决这一问题,我们开发了一款用于管理VTE的智能技术辅助的以患者为中心的护理移动健康应用程序(mVTEA),该应用程序整合了心理框架,以改善VTE管理中的患者治疗效果。
本研究旨在调查mVTEA应用程序对VTE患者或VTE高危患者的VTE知识、态度和行为的影响。
SmaVTE(智能技术促进以患者为中心的静脉血栓栓塞症管理)研究是一项双臂、单中心、平行组、随机对照试验。2024年8月至2025年6月出院当天,将招募总共256名住院的VTE患者或VTE高危患者。参与者将按1:1的比例随机分配到mVTEA管理组或常规管理组。mVTEA管理组(n = 128)出院后将接受由mVTEA应用程序促进的以患者为中心的VTE管理。常规管理组(n = 128)将根据当地临床实践进行常规出院后管理。将通过一份关于VTE的结构化KAP问卷评估患者的KAP。主要结局是两组在3个月随访时患者VTE的KAP差异。次要结局包括问卷各领域的得分、生活质量;VTE事件、慢性血栓栓塞性肺动脉高压、慢性血栓栓塞性肺疾病、肺栓塞后综合征、大出血事件、VTE相关住院或再次住院、死亡,以及3个月随访时新发房颤或房扑。
目前正在招募参与者。第一名参与者于2024年8月入组,这标志着研究正式开始。招募过程预计于2025年6月完成。截至论文提交时,已有185名患者入组该临床试验。目前,所有纳入的患者都在按照既定时间表进行随访。
SmaVTE研究通过将智能技术与以患者为中心的护理以及既定的理论框架相结合,为VTE的预防和治疗提供了一种开创性的方法。这些发现可能会对临床实践产生重大影响,并激发对智能技术与行为科学理论整合的进一步研究。
ClinicalTrials.gov NCT06350331;https://clinicaltrials.gov/study/NCT06350331。
国际注册报告识别码(IRRID):DERR1-10.2196/67254。