ROBAS: A Multimodal Sensor System for Remote Assessment of Oral Health Behaviors

ROBAS：用于远程评估口腔健康行为的多模态传感器系统

• 批准号: 9096747
• 负责人: VIVEK SHETTY
• 金额: $ 59.63万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2020-05-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9096747
• 关键词: Accelerometer; Alcohol consumption; Alcohol or Other Drugs use; Algorithms; Behavior; Behavior Therapy; Behavior assessment; Behavioral; Behavioral Sciences; Boxing; Car Phone; Chronic Disease; Classification; Clinical; Communities; Cross-Over Studies; Data; Data Analytics; Dental; Dental Care; Dental Care Delivery; Dental Hygiene; Dental Plaque; Dental caries; Development; Eating; Ecological momentary assessment; Electronics; Engineering; Ensure; Etiology; Future; Gingivitis; Glean; Health; Health behavior; Health system; Healthcare Systems; Hygiene; Individual; Industry; Industry Collaboration; Interview; Link; Measurement; Measures; Mediating; Modeling; Monitor; Movement; National Institute of Dental and Craniofacial Research; Oral; Oral health; Pathway interactions; Patient Self-Report; Patients; Pattern; Performance; Periodontal Diseases; Population; Preventive; Preventive Dentistry; Preventive Intervention; Process; Randomized; Research; Risk; Scientist; Self Care; Smoking; Social Behavior; Social Desirability; Staging; Stream; System; Technology; Testing; Time; Tooth Diseases; Toothbrushing; United States; Universities; Validity and Reliability; Wrist; base; behavior change; behavior measurement; causal model; cohort; computerized; crosslink; disorder risk; drinking; empowered; evidence base; individualized feedback; industry partner; information gathering; innovative technologies; insight; mHealth; multidisciplinary; novel; oral behavior; research and development; satisfaction; sensor; social; technological innovation; usability

 DESCRIPTION (provided by applicant): Dental disease is one of the most common chronic diseases in the United States and exacts a substantial personal and societal toll. A large body of research links dental disease to poor oral hygiene behaviors such as inadequate brushing and flossing, but fails to explain adequately how these putative causal relationships arise or are mediated. Traditional retrospective self-reports are susceptible to numerous biases and lack the granularity and scientific rigor needed to rigorously test hypotheses about causal pathways. To solve the vexing challenges of oral behavior measurement, we have assembled a multidisciplinary team of scientists and engineers to develop a Remote Oral Behaviors Assessment System (ROBAS) that can provide objective, individual-level and ecologically-valid data on oral hygiene behaviors. Building on a strong body of research priors and innovative technologies developed by our team, our academic-industry partnership will build, test, refine and field-validate ROBAS in three sequential stages with their corresponding specific aims. In Stage 1, we will develop ROBAS by integrating a sensor-enabled toothbrush with a wrist actigraph and a data analytics system and then bench-test and iteratively refine it using computerized simulators and test subjects (Aim 1). In Stage 2, we will pilot-test ROBAS in a cohort of 32 healthy subjects to optimize its performance and usability in naturalistic settings (Aim 2). Data collected on the objective (precision, validity, reliability), subjective (user satisfaction, acceptability) and user performance parameters will be used to further refine ROBAS validity, reliability and functionality. In Stage 3, we will use a randomized, controlled, crossover study contrasting 60 at-risk (substance using) individuals with 60 comparable controls to evaluate ROBAS's capacity for longitudinal (6 months) assessment of oral health behaviors (OHBs) in naturalistic settings. Specifically, we will test ROBAS's clinical utility and incrementa validity over retrospective self-reports and Ecological Momentary Assessments (EMAs) (Aim 3). Additionally, we will use an articulated theoretical framework to investigate the associations among sociobehavioral determinants, OHBs (measured by self-reports, EMAs and ROBAS), and dental disease indicators (gingivitis and dental plaque) (Aim 4). Evaluating ROBAS in community subjects with different levels of risk for dental disease (substance users and non-users) will facilitate translatability of our research. The tightly coordinated academic-industry alliance will ensure rapid productization and availability of ROBAS (project deliverable). The ability to collect granular, ecologically-valid data for long periods of time will afford unprecedented opportunity to develop and rigorously test more sophisticated causal models of oral health behaviors and glean fundamental insights regarding behavior change processes. The paradigm shift from the conventional rescue- driven model of dental care to a proactive preventive approach, based on sensor-enabled behavioral analysis, has the potential to fundamentally transform the delivery of dental care. Equally important, the technological innovations of our project will have broad application in a variety of social, behavioral and clinical settings.

 描述（由申请人提供）：牙科疾病是美国最常见的慢性疾病之一，造成巨大的个人和社会损失。大量研究表明，牙科疾病与不良的口腔卫生行为有关，例如刷牙和使用牙线不足等。但未能充分解释这些假定的因果关系是如何产生或调解的，传统的回顾性自我报告容易受到许多偏见的影响，并且缺乏严格检验因果路径假设以解决令人烦恼的挑战所需的粒度和科学严谨性。在口腔行为测量方面，我们组建了一支由科学家和工程师组成的多学科团队，开发了远程口腔行为评估系统 (ROBAS)，该系统可以在强大的基础上提供有关口腔卫生行为的客观、个人层面和生态有效的数据。根据我们团队开发的先验研究和创新技术，我们的学术与工业合作伙伴关系将分三个连续阶段构建、测试、完善和现场验证 ROBAS 及其相应的具体目标。在第一阶段，我们将通过集成带有腕部活动记录仪和数据分析系统的传感器牙刷，然后使用计算机模拟器和测试对象对其进行基准测试和迭代完善（目标 1），我们将在 32 名健康受试者中对 ROBAS 进行试点测试。优化其在自然环境中的性能和可用性（目标 2），收集的客观（精度、有效性、可靠性）、主观（用户满意度、可接受性）和用户性能参数的数据将用于进一步完善 ROBAS 的有效性、可靠性和功能性。在第 3 阶段，我们将使用一项随机、对照、交叉研究，将 60 名高危（物质使用）个体与 60 名可比较的对照进行对比，以评估 ROBAS 进行口腔纵向（6 个月）评估的能力。具体来说，我们将测试 ROBAS 相对于回顾性自我报告和生态瞬时评估 (EMA) 的临床实用性和增量有效性（目标）。 3) 此外，我们将使用明确的理论框架来研究社会行为决定因素、OHB（通过自我报告、EMA 和 ROBAS 测量）和牙科疾病指标（牙龈炎和牙菌斑）之间的关联（目标 4）。在具有不同牙科疾病风险水平的社区受试者（物质使用者和非使用者）中进行研究将促进我们研究的可转化性，紧密协调的学术-工业联盟将确保快速产品化。 ROBAS（项目可交付成果）的可用性。长期收集精细的、生态上有效的数据的能力将为开发和严格测试更复杂的口腔健康行为因果模型并收集有关行为改变过程的基本见解提供前所未有的机会。从传统的救援驱动的牙科护理模式到基于传感器的行为分析的主动预防方法的范式转变，有可能从根本上改变牙科护理的提供方式。同样重要的是，我们项目的技术创新将带来改变。广泛应用在各种社会、行为和临床环境。