Optimizing the Health of Pre-Diabetic Healthcare Workers

优化糖尿病前期医护人员的健康

• 批准号: 6915260
• 负责人: ROBERT KEENE MCLELLAN
• 金额: $ 32.72万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-30 至 2007-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6915260
• 关键词: behavioral /social science research tag; blood glucose; body physical activity; body physical characteristic; clinical research; diabetes risk; diet; disease /disorder prevention /control; health behavior; health care personnel; health education; human subject; human therapy evaluation; mass screening; prediabetic state; socioenvironment; work site

DESCRIPTION (provided by applicant): This project will implement and evaluate a new approach to engage employees, their employer and providers to improve employee health and productivity with the support of information technology. Specifically, our research team proposes to: 1. identify the population of employees at risk for developing diabetes (pre-diabetes) through the use of a voluntary health risk appraisal survey and fasting blood sugar; 2. offer this sub-group of employees individually oriented health promotion and disease prevention programs 3. subsequently implement a wide variety of "ecological" interventions aimed at creating a social environment at the workplace that optimizes employer support for individual behavioral change; 4. employ novel information technologies to create a more patient-centered and effective, shared care plan; 5. measure an array of outcomes at each phase of the study that includes measures of health behaviors and biometric risk factors and economic variables such as costs of health care, disability, workers' compensation, absenteeism and other indicators of impaired human performance.

描述（由申请人提供）：该项目将实施和评估一种新的方法，让员工，他们的雇主和供应商在信息技术的支持下改善员工的健康和生产力。具体而言，我们的研究团队建议：1。通过自愿健康风险评估调查和空腹血糖，确定有患糖尿病（糖尿病前期）风险的员工人群; 2.为这部分员工提供个性化的健康促进和疾病预防计划3.随后实施各种各样的“生态”干预措施，目的是在工作场所创造一个社会环境，优化雇主对个人行为改变的支持; 4.采用新的信息技术，以创建一个更以患者为中心和有效的，共享的护理计划; 5.在研究的每个阶段测量一系列结果，包括测量健康行为和生物识别风险因素以及经济变量，如医疗保健成本，残疾，工人赔偿，缺勤和其他人类表现受损的指标。