Lozano Hernández Cristina María, Medina-García Rodrigo, de Hoyos-Alonso Mª Canto, Garrido-Barral Araceli, Minué Lorenzo César, Sanz-Cuesta Teresa, Serrano Javier, Del Rio Ponce Alberto, Gómez-Gascón Tomas, Del Cura-González Isabel
Research Unit, Primary Health Care Management, Madrid, Spain.
Biosanitary Research and Innovation Foundation of Primary Care, Madrid, Spain.
JMIR Res Protoc. 2023 Jul 3;12:e47331. doi: 10.2196/47331.
Among chronic diseases, cognitive, neurological, and cardiovascular impairments are becoming increasingly prevalent, generating a shift in health and social needs. Technology can create an ecosystem of care integrated with microtools based on biosensors for motion, location, voice, and expression detection that can help people with chronic diseases. A technological system capable of identifying symptoms, signs, or behavioral patterns could provide notification of the development of complications of disease. This would help the self-care of patients with chronic disease and save health care costs, promoting the autonomy and empowerment of patients and their caregivers, improving their quality of life (QoL), and providing health professionals with monitoring tools.
The main objective of this study is to evaluate the effectiveness of a technological system (the TeNDER system) to improve quality of life in patients with chronic diseases: Alzheimer disease, Parkinson disease, and cardiovascular disease.
A multicenter, randomized, parallel-group clinical trial will be conducted with a follow-up of 2 months. The scope of the study will be the primary care health centers of the Community of Madrid belonging to the Spanish public health system. The study population will be patients diagnosed with Parkinson disease, Alzheimer disease, and cardiovascular disease; their caregivers; and health professionals. The sample size will be 534 patients (380 in the intervention group). The intervention will consist of the use of the TeNDER system. The system will monitor the patients by means of biosensors, and their data will be integrated into the TeNDER app. With the information provided, the TeNDER system will generate health reports that can be consulted by patients, caregivers, and health professionals. Sociodemographic variables and technological affinity will be measured, as will views on the usability of and satisfaction with the TeNDER system. The dependent variable will be the mean difference in QoL score between the intervention and control groups at 2 months. To study the effectiveness of the TeNDER system in improving QoL in patients, an explanatory linear regression model will be constructed. All analyses will be performed with the 95% CI and robust estimators.
Ethics approval for this project was received on September 11, 2019. The trial was registered on August 14, 2020. Recruitment commenced in April 2021, and the expected results will be available during 2023 or 2024.
This clinical trial among patients with highly prevalent chronic illnesses and the people most involved in their care will provide a more realistic view of the situation experienced by people with long-term illness and their support networks. The TeNDER system is in continuous development based on a study of the needs of the target population and on feedback during its use from the users: patients, caregivers, and primary care health professionals.
ClinicalTrials.gov NCT05681065; https://clinicaltrials.gov/ct2/show/NCT05681065.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47331.
在慢性病中,认知、神经和心血管功能障碍正变得越来越普遍,导致健康和社会需求发生转变。技术可以创建一个与基于生物传感器的微工具集成的护理生态系统,用于运动、位置、语音和表情检测,这有助于慢性病患者。一个能够识别症状、体征或行为模式的技术系统可以提供疾病并发症发展的通知。这将有助于慢性病患者的自我护理,节省医疗成本,促进患者及其护理人员的自主性和能力提升,改善他们的生活质量(QoL),并为医疗专业人员提供监测工具。
本研究的主要目的是评估一种技术系统(TeNDER系统)对改善慢性病(阿尔茨海默病、帕金森病和心血管疾病)患者生活质量的有效性。
将进行一项多中心、随机、平行组临床试验,随访2个月。研究范围将是属于西班牙公共卫生系统的马德里自治区的初级保健健康中心。研究人群将包括被诊断患有帕金森病、阿尔茨海默病和心血管疾病的患者;他们的护理人员;以及医疗专业人员。样本量将为534名患者(干预组380名)。干预措施将包括使用TeNDER系统。该系统将通过生物传感器监测患者,其数据将被整合到TeNDER应用程序中。根据提供的信息,TeNDER系统将生成健康报告,患者、护理人员和医疗专业人员均可查阅。将测量社会人口统计学变量和技术亲和力,以及对TeNDER系统可用性和满意度的看法。因变量将是干预组和对照组在2个月时QoL评分的平均差异。为了研究TeNDER系统在改善患者QoL方面的有效性,将构建一个解释性线性回归模型。所有分析将使用95%置信区间和稳健估计量进行。
该项目于2019年9月11日获得伦理批准。该试验于2020年8月14日注册。招募工作于2021年4月开始,预期结果将于2023年或2024年获得。
这项针对高发性慢性病患者及其最密切护理人员的临床试验,将更真实地反映长期患病者及其支持网络的实际情况。TeNDER系统正在根据对目标人群需求的研究以及用户(患者、护理人员和初级保健医疗专业人员)在使用过程中的反馈进行持续开发。
ClinicalTrials.gov NCT05681065;https://clinicaltrials.gov/ct2/show/NCT05681065。
国际注册报告识别号(IRRID):DERR1-10.2196/47331。