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首页> 外文期刊>JMIR Research Protocols >Improving Medication Adherence Through Adaptive Digital Interventions (iMedA) in Patients With Hypertension: Protocol for an Interrupted Time Series Study
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Improving Medication Adherence Through Adaptive Digital Interventions (iMedA) in Patients With Hypertension: Protocol for an Interrupted Time Series Study

机译:通过高血压患者的自适应数字干预(IMEDA)改善药物遵守:中断时间序列研究的协议

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Background There is a strong need to improve medication adherence (MA) for individuals with hypertension in order to reduce long-term hospitalization costs. We believe this can be achieved through an artificial intelligence agent that helps the patient in understanding key individual adherence risk factors and designing an appropriate intervention plan. The incidence of hypertension in Sweden is estimated at approximately 27%. Although blood pressure control has increased in Sweden, barely half of the treated patients achieved adequate blood pressure levels. It is a major risk factor for coronary heart disease and stroke as well as heart failure. MA is a key factor for good clinical outcomes in persons with hypertension. Objective The overall aim of this study is to design, develop, test, and evaluate an adaptive digital intervention called iMedA, delivered via a mobile app to improve MA, self-care management, and blood pressure control for persons with hypertension. Methods The study design is an interrupted time series. We will collect data on a daily basis, 14 days before, during 6 months of delivering digital interventions through the mobile app, and 14 days after. The effect will be analyzed using segmented regression analysis. The participants will be recruited in Region Halland, Sweden. The design of the digital interventions follows the just-in-time adaptive intervention framework. The primary (distal) outcome is MA, and the secondary outcome is blood pressure. The design of the digital intervention is developed based on a needs assessment process including a systematic review, focus group interviews, and a pilot study, before conducting the longitudinal interrupted time series study. Results The focus groups of persons with hypertension have been conducted to perform the needs assessment in a Swedish context. The design and development of digital interventions are in progress, and the interventions are planned to be ready in November 2020. Then, the 2-week pilot study for usability evaluation will start, and the interrupted time series study, which we plan to start in February 2021, will follow it. Conclusions We hypothesize that iMedA will improve medication adherence and self-care management. This study could illustrate how self-care management tools can be an additional (digital) treatment support to a clinical one without increasing burden on health care staff. Trial Registration ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT04413500","term_id":"NCT04413500"}} NCT04413500 ; https://clinicaltrials.gov/ct2/show/ {"type":"clinical-trial","attrs":{"text":"NCT04413500","term_id":"NCT04413500"}} NCT04413500 International Registered Report Identifier (IRRID) DERR1-10.2196/24494.
机译:背景技术有需要改善具有高血压的个体的药物粘附(MA),以减少长期住院费用。我们认为这可以通过人工智能代理实现,帮助患者理解关键的个人依从性危险因素并设计适当的干预计划。瑞典高血压发病率约为27%。瑞典血压控制增加了血压,但勉强的一半治疗患者达到了足够的血压水平。这是冠心病和中风以及心力衰竭的主要危险因素。 MA是高血压患者良好临床结果的关键因素。目的本研究的整体目标是设计,开发,测试和评估称为IMEDA的自适应数字干预,通过移动应用程序提供,以改善高血压人员的MA,自我保健管理和血压控制。方法研究设计是一个中断时间序列。我们将每天收集数据,前一天,在6个月内通过移动应用程序提供数字干预措施,14天后。使用分段回归分析将分析效果。参与者将在瑞典地区招聘。数字干预的设计遵循即时自适应干预框架。主要(远端)结果是MA,二次结果是血压。在进行的需求评估过程中,开发了数字干预的设计,包括系统审查,焦点组访谈和试验研究,然后进行纵向中断时间序列研究。结果已经进行了高血压的焦点组,以在瑞典语境中进行需求评估。数字干预的设计和开发正在进行中,计划于2020年11月准备好的干预措施。然后,2周的可用性评估的试验研究将开始,以及中断的时间序列研究,我们计划开始2021年2月,将遵循它。结论我们假设Imeda会改善药物依从性和自我保健管理。本研究可以说明自我保健管理工具如何在没有越来越多的医疗保健人员的负担的情况下对临床人员提供额外的(数字)治疗支持。试用注册ClinicalTrials.gov {“类型”:“临床试验”,“attrs”:{“text”:“nct04413500”,“term_id”:“nct04413500”} n nct04413500; https://clinicaltrials.gov/ct2/show/ {“type”:“临床 - 试验”,“attrs”:{“text”:“nct04413500”,“term_id”:“nct04413500”}} nct04413500国际注册报告标识符(ISHID)DERR1-10.2196 / 24494。

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