A Randomized Trial of a BE-EHR Module to Guide the Care of Older Adults With Diabetes
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 7,630
- 试验地点
- 1
- 主要终点
- Number of Participants Who Are CW-Compliant and CW-Noncompliant
研究概览
简要总结
This RCT will test a new electronic health record module to improve guideline-compliant care of older adults with diabetes. The module incorporates effective behavioral economics (BE) principles to improve the degree to which care of older adults is compliant with Choosing Wisely (CW) guidelines; this generally involves less aggressive targets for HbA1c, and reductions of medications other than metformin. The implementation of the module is triggered by patient scheduling and medication prescribing in EPIC. The BE principles include suggesting alternatives to medications, requiring justification, setting of appropriate default order sets, and incorporation of anchoring and checklists to guide behavior.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- None
入排标准
- 年龄范围
- 75 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patient at NYULH primary care or endocrinology practice
- •Practices that have patients aged 75 or older
- •Practices that have a diagnosis of diabetes in the EHR chart
排除标准
- •Under age 75
结局指标
主要结局
Number of Participants Who Are CW-Compliant and CW-Noncompliant
时间窗: Month 18
In order to evaluate Choosing Wisely (CW) compliance status, the BE-EHR algorithm will capture information on demographics, diagnoses in the patient's problem list, prescription history, and relevant lab results (i.e. allergies and blood glucose (HbA1c)) The study team members will not collect this information directly; data will be collected in NYULH's EHR system, EPIC, and an EPIC Reporting analyst will extract the relevant parameters from the EHR into a report. The study team members only receive the ultimate determination from the algorithm that the patient is either CW-compliant or CW-noncompliant.
次要结局
- Number of Total Prescription Encounters(Month 18)