Optimizing a Sensor-Enabled mHealth Intervention for Adolescents with Suboptimal Asthma Control

针对哮喘控制不佳的青少年优化传感器支持的移动健康干预措施

基本信息

批准号：
10742718
负责人：
Christopher C Cushing
金额：
$ 25.01万
依托单位：
UNIVERSITY OF KANSAS LAWRENCE
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-15 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10742718
关键词：
Adherence Adolescent Adrenal Cortex Hormones Affect Age Agonist Algorithms Asthma Award Behavior Behavior Therapy Caring Cellular Phone Childhood Asthma Chronic Disease Clinical Trials Cognition Data Development Diagnosis Disease Distal Dose Ecosystem Education Emotions Feedback Future Goals Guidelines Health Impairment Informal Social Control Inhalation Intervention Learning Maintenance Minority Modeling Modification Monitor Morbidity - disease rate Multi-Institutional Clinical Trial Outcome Ownership Patient Self-Report Pattern Pharmaceutical Preparations Phase Problem Solving Process Protocols documentation Quality of life Randomized Regimen Research Risk Schools Self Management Site Symptoms Technology Teenagers Time United States Update Work Youth adaptive intervention behavior change clinical trial protocol clinically significant cloud based design digital digital technology efficacy trial evidence base experience improved interest intervention delivery intervention effect mHealth medication compliance mobile sensor multi-site trial phase 1 designs pilot test pilot trial post intervention primary outcome programs recruit satisfaction sensor skills smartphone application standard of care theories usability user centered design

项目摘要

PROJECT SUMMARY Asthma affects 9% of adolescents in the United States and is a leading cause of youth morbidity. National asthma guidelines emphasize the importance of asthma self-management behaviors to control asthma and promote quality of life. Adolescents have suboptimal adherence to asthma self-management behaviors driven by an underdeveloped and highly variable capacity to self-regulate cognitions, emotions, and behaviors; and a normative decrease in parental support while multiple demands are increasing. Each adolescent experiences different threats to their ability to self-regulate at different moments in time, necessitating personalized and adaptive self-regulatory support to increase daily self-management behaviors and achieve sustained asthma control. Smartphones are an optimal mechanism for improving adolescent adherence, however, existing asthma self-management apps do not combine what is known about evidence-based behavior change strategies and adaptive intervention technologies that tailor the experience based on user data. Our team recently developed Responsive Asthma Care for Teens (ReACT; R56 HL141394), a technological ecosystem including a smartphone app, mobile sensors to assess medication dosing, a Smarthub to achieve real-time data listening, and cloud-based intervention delivery algorithms. ReACT provides personalized and adaptive self-regulatory support to improve asthma self-management via goal-setting, feedback, and barrier identification with problem-solving skills. Results of our pilot work demonstrated that ReACT was acceptable and produced post-intervention changes in our hypothesized mechanisms of self-regulation and problem- solving skills. The proposed study will optimize ReACT based on lessons learned from our pilot work and updated national asthma guidelines. We will conduct an unbalanced (2:1) randomized pilot trial to examine feasibility of our multisite trial protocol, determine if ReACT produces a clinically significant effect on proximal mechanisms hypothesized to drive asthma control, and explore the impact of ReACT on asthma control and asthma-related quality of life. Adolescents ages 13-17 with suboptimal asthma control (n=120) will be randomized to ReACT or a mHealth control condition stratified by regimen for 6-months. Adolescents in the control condition will receive an app that includes static asthma education information and a form for recording symptoms and adherence. The control condition is designed to mirror standard of care, optimize recruitment, and sustain interest while concurrently having a minimal impact on asthma management. Assessments will occur at baseline, 3-month, and post-intervention (6-month) time points. Mechanisms of intervention effect will be collected via both self-report (e.g., self-regulation) and objective (e.g., medication adherence) assessments. We will assess planned future clinical trial outcomes (e.g., asthma control and asthma-related quality of life) to provide effect size estimates for future work. We will have the necessary and sufficient information about the feasibility of our multisite clinical trial protocol and planned analyses at the end of this project.

项目概要哮喘影响美国 9% 的青少年，是青少年发病的主要原因。国家的哮喘指南强调哮喘自我管理行为对于控制哮喘和预防哮喘的重要性提高生活质量。青少年对哮喘自我管理行为的依从性不佳自我调节认知、情绪和行为的能力不发达且高度可变；和一个父母支持的规范性下降，而多重需求却在增加。每个青少年都会经历他们在不同时刻的自我调节能力面临着不同的威胁，因此需要个性化和适应性自我调节支持，以增加日常自我管理行为并实现持续哮喘控制。智能手机是提高青少年依从性的最佳机制，然而，现有的哮喘自我管理应用程序没有结合已知的基于证据的行为改变根据用户数据定制体验的策略和自适应干预技术。我们的团队最近开发了针对青少年的响应性哮喘护理（ReACT；R56 HL141394），这是一个技术生态系统包括智能手机应用程序、用于评估药物剂量的移动传感器、用于实现实时用药的智能集线器数据监听和基于云的干预交付算法。 ReACT 提供个性化和自适应通过目标设定、反馈和障碍来改善哮喘自我管理的自我调节支持识别解决问题的能力。我们的试点工作结果表明 ReACT 是可以接受的并在我们假设的自我调节和问题机制中产生了干预后的变化解决能力。拟议的研究将根据我们的试点工作和经验教训来优化 ReACT 更新了国家哮喘指南。我们将进行一项不平衡（2:1）随机试点试验来检查我们的多中心试验方案的可行性，确定 ReACT 是否对近端产生临床显着影响假设驱动哮喘控制的机制，并探讨 ReACT 对哮喘控制和治疗的影响哮喘相关的生活质量。哮喘控制不佳的 13-17 岁青少年 (n=120) 将接受随机接受 ReACT 或按治疗方案分层的 mHealth 对照条件，为期 6 个月。青少年在控制条件将收到一个应用程序，其中包括静态哮喘教育信息和记录表格症状和依从性。控制条件旨在反映护理标准、优化招募、并保持兴趣，同时对哮喘管理的影响最小。评估将发生在基线、3 个月和干预后（6 个月）时间点。干预效果机制通过自我报告（例如自我调节）和客观（例如药物依从性）评估来收集。我们将评估计划的未来临床试验结果（例如哮喘控制和哮喘相关的生活质量），以为未来的工作提供效应大小估计。我们将获得有关该项目的必要且充分的信息我们的多中心临床试验方案的可行性以及项目结束时计划的分析。