Development of a Functional Health CAT for Managing Obesity

开发用于管理肥胖的功能性健康 CAT

• 批准号: 7272258
• 负责人: JOHN E WARE
• 金额: $ 12.52万
• 依托单位: QUALITYMETRIC, INC.
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7272258
• 关键词: Activities of Daily Living; Adult; Attention; Behavioral; Body Weight; Characteristics; Clinical; Computer software; Condition; Data; Data Collection; Decision Making; Development; Disease; Drops; Employee; Epidemic; Feedback; Floor; Genetic; Goals; Health; Health Services; Individual; Length; Managed Care; Measurement; Measures; Medical; Monitor; Numbers; Obesity; Occupational Health Services; Online Systems; Overweight; Participant; Patient Outcomes Assessments; Performance; Phase; Prevalence; Process; Public Health; Questionnaires; Range; Reporting; Research; Respondent; Risk; Sampling; Score; Self Efficacy; Societies; Solutions; Surveys; System; Techniques; Testing; Today; United States; Validity and Reliability; Voice; Weight; Weight maintenance regimen; abstracting; computerized; cost; expectation; health related quality of life; improved; instrument; interest; member; programs; prototype; response; success; theories; tool; user-friendly; voice recognition

DESCRIPTION (provided by applicant): Development of a Functional Health CAT for Managing Obesity Abstract In recent decades the prevalence of obesity has increased dramatically in the United States, causing a great burden for the individual and society. Although behavioral factors are among the most prominent causes of obesity and numerous weight management programs are currently offered, few practical instruments are available today to measure the functional health and other characteristics of obese adults that determine and define the success of weight management programs. We propose to use Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) techniques to build a precise and short Patient-Reported Outcomes (PRO) instrument (OBESITY-CAT) to measure the impact of being obese on health-related quality of life (HRQOL) and self-efficacy expectations. CATs tailor the questions administered to each individual respondent, thereby increasing the precision and range of measurement without increasing respondent burden. In Phase I we propose to: (1) construct two item banks to measure the impact of obesity on HRQOL and the self-efficacy expectation to control weight, (2) develop a comprehensive and flexible OBESITY-CAT software solution, including immediate feedback reporting, and (3) pilot test the new tool in comparison with traditional full-length static questionnaires. To achieve these aims, we have partnered with Magellan Health Services, one of the nations' largest managed care organizations, serving 40 million individuals. Together we will develop obesity-specific items tailored particularly for the CAT process, analyze the item parameters in a sample of 1,000 of their employees (~ 75% being overweight or obese), and finally test the feasibility and acceptance of the OBESITY-CAT integrated into Magellan's nationwide weight management program in 100 participants. The product of Phase I will be a prototype comprehensive OBESITY-CAT with preliminary evidence regarding feasibility, acceptability, and empirical performance. In Phase II, the tool will be improved and further evaluated in terms of validity, reliability, and responsiveness, and its potential for use in predicting and monitoring treatment success, and the tool will be evaluated and programmed to be fully operational on different platforms, including PDAs and Interactive Voice Recognition (IVR). By greatly lowering data collection costs, reducing response burden, eliminating "ceiling" and "floor" effects and increasing the precision of individual scores, routine monitoring of HRQOL may become feasible as a clinical tool among obese adults. The Obesity-CAT will be able to monitor the success of weight management programs to increase the health related quality of life of overweight and obese adults. In addition, it will support tailoring weight management programs to the individual, and identify those which are at higher risk to drop-out of the program and need special attention. Compared to existing instruments, it will greatly lower data collection costs, reduce response burden, and increase the precision of individual scores, so that routine monitoring of HRQOL may become feasible as a clinical tool among obese adults.

描述（申请人提供）：近几十年来，开发用于管理肥胖摘要的功能健康猫，在美国，肥胖症的患病率急剧增加，这给个人和社会带来了巨大负担。尽管行为因素是肥胖的最突出的原因之一，目前提供了许多体重管理计划，但如今，很少有实际工具可以衡量确定和定义体重管理计划成功的肥胖成年人的功能健康和其他特征。我们建议使用项目响应理论（IRT）和计算机化自适应测试（CAT）技术来建立精确且短暂的患者报告结果（PRO）仪器（PRO）仪器（肥胖-CAT）来衡量肥胖对健康相关的生活质量（HRQOL）和自我效能感预期的影响。猫对每个受访者进行了调整的问题，从而增加了测量的精度和范围，而不会增加受访者负担。在第一阶段，我们建议：（1）构建两个项目库，以衡量肥胖对HRQOL的影响以及控制体重的自我效能感期望，（2）开发一种全面且灵活的肥胖猫软件解决方案，包括即时反馈报告，包括（3）试验与传统的全长静态问题​​相比，PILOT测试了新工具。为了实现这些目标，我们与麦哲伦卫生服务（Magellan Health Services）合作，这是该国最大的托管护理组织之一，为4000万个人提供服务。我们将共同开发肥胖的特定物品，特别是针对猫过程量身定制的，分析1,000名员工样本中的项目参数（〜75％的人超重或肥胖），最后测试了100名参与者中玛格兰的全国体重管理计划中集成到Magellan的全国体重管理计划中的肥胖症的可行性和接受。第一阶段的产物将是原型综合肥胖猫，并具有有关可行性，可接受性和经验性能的初步证据。在第二阶段，将根据有效性，可靠性和响应能力及其在预测和监测治疗成功中使用的潜力进行改进并进一步评估该工具，并将评估该工具并编程以在不同平台上完全运行，包括PDA和互动语音识别（IVR）。通过大大降低数据收集成本，减轻响应负担，消除“天花板”和“地板”效应并提高单个分数的精度，对HRQOL的常规监测可能会成为肥胖成年人的临床工具。肥胖猫将能够监测体重管理计划的成功，以提高与健康相关的超重和肥胖成年人的生活质量。此外，它将支持针对个人定制体重管理计划，并确定那些辍学的风险较高并需要特别关注的人。与现有工具相比，它将大大降低数据收集成本，减少响应负担并提高单个分数的精度，因此，对HRQOL的常规监测可能会成为肥胖成年人的临床工具。