Mentoring in mHealth and Social Networking Interventions for CVD Risk Reduction

减少 CVD 风险的移动医疗和社交网络干预措施的指导

• 批准号: 8891659
• 负责人: SHERRY L. PAGOTO
• 金额: $ 9.83万
• 依托单位: UNIV OF MASSACHUSETTS MED SCH WORCESTER
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-07 至 2020-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8891659
• 关键词: Active Learning; Address; Adherence; Adult; Age; Algorithms; Behavior; Behavior Therapy; Behavioral; Behavioral Sciences; Body Weight decreased; Cardiology; Clinical Research; Communication; Counseling; Cues; Data; Data Analyses; Databases; Development; Eating; Engineering; Environment; Faculty; Feasibility Studies; Feedback; Female; Focus Groups; Frequencies; Funding; Gender; Goals; Grant; Health Care Costs; Hyperphagia; Individual; Institutes; Intervention; K-Series Research Career Programs; Knowledge; Learning; Letters; Life; Life Style; Location; Logic; Marketing; Measures; Mental Depression; Mentors; Mentorship; Methodology; Mid-Career Clinical Scientist Award (K24); Modification; Monitor; Notification; Obesity; Outcome; Overweight; Paper; Participant; Patient Care; Patients; Personality Traits; Persons; Phase; Physiological; Pilot Projects; Postdoctoral Fellow; Preventive; Preventive Intervention; Problem Solving; Process; Proliferating; Provider; Public Health; Public Health Informatics; Randomized; Randomized Clinical Trials; Relative (related person); Research; Research Personnel; Resources; Risk Reduction; Rotation; Social Network; Social support; Solutions; Stimulus; Stress; Support System; Targeted Research; Technology; Testing; Training; Treatment Efficacy; Visit; Weight; Work; Writing; base; behavior change; cardiovascular disorder prevention; cardiovascular disorder risk; computer science; cost; cost effective; cost effectiveness; design; diet and exercise; efficacy testing; evidence base; experience; graduate student; health economics; information processing; lifestyle intervention; mHealth; medical schools; meetings; mobile application; new technology; next generation; post intervention; predictive modeling; programs; public health relevance; randomized trial; self help; skills; social; social anxiety; social networking website; symposium; technology development; usability; web-based social networking; weight loss intervention

 DESCRIPTION (provided by applicant): This K24 award will enable the investigator to launch a transdisciplinary mentorship program for mHealth research focused on obesity and cardiovascular disease (CVD) prevention. The candidate currently has 15 mentees including 7 post-doctoral fellows/junior faculty and 8 graduate students. Altogether she has co- authored 119 papers with mentees and they have obtained 17 grants under her mentorship. The proposed mentorship plan will formalize and intensify her mentorship activity by providing mentees with a transdisciplinary mentoring experience that represents experts in behavioral science, preventive cardiology, health informatics, health economics, computer science, and engineering. Mentees from collaborating labs at the UMass Medical School, UMass Amherst, and Worcester Polytechnic Institute will "embed" in each other's lab to learn a broad range of mHealth and clinical research skills. Mentees will learn how to: utilize mobile apps and online social networks in their research; analyze online social network data; conduct qualitative data analyses; conduct usability testing; employ behavior change strategies in mobile and social network environments; design preliminary studies; and write grants. The candidate's midcareer training goals are to enhance knowledge and skills in mobile technology and social network analyses, establish a transdisciplinary mentorship program in mHealth research targeting CVD risk reduction, assist mentees to become independent investigators, and ultimately, to contribute to the scientific workforce focused on mHealth solutions for CVD prevention. The overarching goal of the research plan is to test ways to leverage mobile technologies and online social networks to increase the impact, scalability, cost-effectiveness, and dissemination potential of behavioral interventions. Three research aims are proposed, all of which examine the feasibility of novel technology-driven ways to deliver behavior change strategies. The first aim proposes to develop and test the proof-of-concept of a mobile app that will use sensing technology to identify physiological and environmental triggers for overeating. Findings will inform an app designed to identify key moments users would benefit from behavioral support. The second aim is to develop and test the proof-of-concept of a weight loss mobile app that contains an avatar-facilitated, idiographic problem solving feature that processes information intelligently to help patients identify solutions to their weight loss problems. The third aim is t test the feasibility of a lifestyle intervention that is delivered via an online social network. Al of the proposed interventions were designed to minimize or eliminate patient visits. This work will provide preliminary data for 3 trials testing the efficacy of these interventions in patient care settings. Identifying cost-effective and scalable means to treat obesity is a public health priorit given the spiraling healthcare costs associated with obesity. The proposed work will produce data toward that end and contribute to the mentorship of the next generation of researchers who will have transdisciplinary expertise to capitalize on mobile technologies in the prevention of CVD.

 描述（由申请人提供）：该K24奖项将使研究人员能够启动一项跨学科的指导计划，用于关注肥胖和心血管疾病（CVD）预防的移动健康研究。候选人目前有15名学员，包括7名博士后研究员/初级教师和8名研究生。她与学员共同撰写了119篇论文，并在她的指导下获得了17项赠款。拟议的导师计划将通过为学员提供跨学科的指导经验，代表行为科学，预防心脏病学，健康信息学，健康经济学，计算机科学和工程学方面的专家，正式化并加强她的导师活动。来自马萨诸塞大学医学院、马萨诸塞大学阿默斯特分校和伍斯特理工学院合作实验室的学员将“嵌入”彼此的实验室，学习广泛的移动健康和临床研究技能。学员将学习如何：在研究中利用移动的应用程序和在线社交网络;分析在线社交网络数据;进行定性数据分析;进行可用性测试;在移动的和社交网络环境中采用行为改变策略;设计初步研究;并编写赠款。候选人的职业中期培训目标是提高移动的技术和社交网络分析的知识和技能，建立针对CVD风险降低的移动健康研究的跨学科导师计划，帮助学员成为独立的调查人员，并最终为专注于CVD预防的移动健康解决方案的科学劳动力做出贡献。研究计划的总体目标是测试如何利用移动的技术和在线社交网络来增加行为干预的影响力、可扩展性、成本效益和传播潜力。提出了三个研究目标，所有这些研究的可行性，新的技术驱动的方式来提供行为改变策略。第一个目标是开发和测试一个移动的应用程序的概念验证，该应用程序将使用传感技术来识别暴饮暴食的生理和环境触发因素。研究结果将告知一个旨在识别关键时刻的应用程序，用户将从行为支持中受益。第二个目标是开发和测试减肥移动的应用程序的概念验证，该应用程序包含一个化身便利的具体问题解决功能，可以智能地处理信息，以帮助患者确定减肥问题的解决方案。第三个目的是测试通过在线社交网络提供的生活方式干预的可行性。所有拟议的干预措施旨在最大限度地减少或消除患者就诊。这项工作将为3项试验提供初步数据，以测试这些干预措施在患者护理环境中的有效性。确定具有成本效益和可扩展的方法来治疗肥胖症是一个公共卫生优先考虑与肥胖相关的医疗保健成本螺旋上升。拟议的工作将为此产生数据，并有助于指导下一代研究人员，他们将拥有跨学科的专业知识，以利用移动的技术预防CVD。