Spanish Diabetes Self-Management Programs

描述：（由申请人提供）II型糖尿病是一种日益增长的健康 关注拉丁美洲人，他们不仅有更高的发病率， 也有很大的发病率。同时由于贫困、语言、低 由于识字率低和缺乏连续性的护理，这一人口在很大程度上被排除在外， 目前的糖尿病教育计划。为了解决这个问题，我们 建议评估1）以社区为基础、同侪主导的西班牙糖尿病 基于自我效能理论的自我管理方案; 2） 通过自动化的方式提供长期定制的教育强化 电话疾病管理信息。如果这项研究成功， 将提供一个基于证据的公共卫生糖尿病教育模式， 拉丁裔人口在美国。研究的目的是 目的：在一项为期6个月的随机试验中实施和评价一项实验性 以社区为基础的同行领导的患者西班牙语自我管理计划 患有2型糖尿病评估干预影响的结果包括 健康状况（与健康有关的生活质量和代谢控制）和健康 护理利用率中介结果是健康行为和自我效能。2. 确定自动电话疾病管理信息的有效性 作为西班牙糖尿病自我管理计划的补充， 随机、多重评估和教育强化试验。3. 对上述干预措施进行成本效益分析。4.进行 分析以确定参与者的哪些基线特征最适合 预测长期健康相关的生活质量和代谢控制 行为、自我效能和健康困扰对质量的作用 生命、代谢和卫生保健利用结果的影响。

DESCRIPTION: (provided by applicant) Type II diabetes is a growing health concern for Latinos who not only have a higher incidence of the disease but also suffer great morbidity. At the same time due to poverty, language, low literacy and lack of continuity of care, this population is largely excluded from current diabetes education programs. To assist with this problem we propose to evaluate 1) a community-based, peer-led Spanish Diabetes Self-Management program based on self-efficacy theory, and 2) the effects of long-term tailored educational reinforcement offered by means of automated telephone disease management messages. Should this research be successful it will provide an evidenced based public health diabetes education model for use with Latino populations throughout the United States. The aims of the study are to: Implement and evaluate in a 6-month randomized trial an experimental community-based peer-led Spanish-language self-management program for patients with type 2 diabetes. Outcomes for evaluating the intervention's impact include health status (health-related quality-of-life and metabolic control) and health care utilization. Mediating outcomes are health behaviors and self-efficacy. 2. Determine the effectiveness of automated telephone disease management messages as an adjunction to the Spanish Diabetes Self-Management Program in a randomized, multiple assessment, and educational reinforcement trial. 3. Conduct a cost-benefit analysis of the above interventions. 4. Conduct an analysis to determine what baseline characteristics of participants best predict long-term, health-related quality of life and metabolic control as well as modeling the role of behaviors, self-efficacy and health distress on quality of life, metabolic and health care utilization outcomes.