Reducing Disparities among Kidney Transplant Recipients

翻译后摘要：差异存在于肾移植的访问和结果。一半以上 患者在移植后一年内住院，这些患者更可能是AA 社会经济地位较低。几项研究已经确定了住院的风险因素 入学使用传统的统计方法，但模型已受到限制， 预测准确性，使用静态（而不是动态）模型，以及使用 管理数据可能无法捕捉移植前后风险因素的变化。的 本研究的总体目标是开发和验证严格的动态风险预测 模型，将这些模型集成到临床医生仪表板中，并开发潜在的 采取干预措施，解决肾移植后住院治疗的外科差异。 我们的具体目标是1）开发和验证预测模型，以确定移植 移植后住院风险高的受者; 2）使用基于社区的 参与式研究方法，以建立一个电子住院风险仪表板， 帮助临床决策并指导高风险患者使用稀缺资源 移植后住院治疗该提案的总体影响是改善移植 结果和减少东南部主要AA ESRD人群之间的差异 我们

Abstract: Disparities exist in access and outcomes of kidney transplantation. More than half of patients are hospitalized in the year after transplantation, and these patients are more likely AA and have lower socioeconomic status. Several studies have identified risk factors for hospital admission using traditional statistical methods, but models have been limited by moderate predictive accuracy, the use of static (rather than dynamic) models, and the use of administrative data that may not capture the changing risk factors pre- to post-transplant. The overall goal of this research is to develop and validate rigorous, dynamic risk prediction models, integrate these models within a clinician dashboard, and develop potential interventions to address surgical disparities in hospitalization following kidney transplantation. Our specific aims are 1) To develop and validate predictive models to identify transplant recipients at high risk of hospitalization following transplant; 2) To use a community-based participatory research approach to build an electronic hospitalization risk dashboard that will aid in clinical decision-making and guide the use of scarce resources for patients at high risk for hospitalization post-transplant. The overall impact of this proposal is to improve transplant outcomes and reduce disparities among a primarily AA ESRD population in the Southeastern US.