Spanish Diabetes Self-Management Programs

描述：(申请人提供)II型糖尿病是一种日益增长的健康 关注拉美裔人，他们不仅有更高的发病率，而且 也遭受着极大的发病率。同时由于贫困，语言水平低 识字率和缺乏连续性护理，这一群体在很大程度上被排除在外 来自当前的糖尿病教育项目。为了帮助解决这个问题，我们 建议评估1)以社区为基础、同行为主导的西班牙糖尿病 基于自我效能感理论的自我管理方案，以及2)自我管理方案的效果 通过自动化方式提供长期量身定制的教育强化 电话疾病管理消息。如果这项研究成功了，是吗？ 将提供以证据为基础的公共健康糖尿病教育模式供使用 全美的拉丁裔人口。这项研究的目的是 TO：在为期6个月的随机试验中实施和评估一项实验 基于社区的同行主导的西班牙语患者自我管理计划 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 护理利用情况。中介结果是健康行为和自我效能感。2. 确定自动电话疾病管理消息的有效性 作为西班牙糖尿病自我管理计划的一个附加项目 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.开展一项 分析以确定参与者最好的基线特征 预测长期的、与健康相关的生活质量和代谢控制 作为行为、自我效能感和健康困扰对质量影响的模型 生命、新陈代谢和卫生保健利用结果的评估。

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.