Assessment of Response Rates and Yields for Two Tools for Early Detection of Non-diabetic Hyperglycaemia and Diabetes
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 432
- 试验地点
- 1
- 主要终点
- Increase in response rates to invitation to 2nd stage blood test
研究概览
简要总结
The purpose of this study is to establish the most effective method of increasing attendance to screening of type 2 Diabetes within a primary care setting within the backdrop of the NHS Health Check programme.
详细描述
The University Hospitals of Leicester and The University of Leicester have developed a self-assessment risk score and a practice data risk score that can be used in a variety of setting to detect undiagnosed diabetes and impaired glucose regulation. This is done to establish a simple and effective 1st stage screen to identify those people at risk of diabetes and engage the public to increase the number of high risk individuals attending screening invitations but reducing the overall number of oral glucose tolerance tests. This study aims to test in a pragmatic way the use of such tools in a primary care setting administered by primary care staff as part of the NHS Health Check programme.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Screening
- 盲法
- None
入排标准
- 年龄范围
- 40 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •40-75 years old (30 -75 years old if South Asian origin)
排除标准
- •Current diagnosis of diabetes
- •Terminal illness or mental incapacity
研究组 & 干预措施
Self Assessment
Patients are approached and asked to complete a risk score that will determine their current risk of diabetes and the likelihood of requiring further testing.
干预措施: Self Assessment (Other)
Electronic risk score
Patients diabetes riks is determined based on their data held on practice systems. Patients are then invited for further testing based on this score.
干预措施: Electronic risk score (Other)
结局指标
主要结局
Increase in response rates to invitation to 2nd stage blood test
时间窗: 12 months
次要结局
- Increase in yield of OGTT positive results through filtering of high risk participants that pass 1st and 2nd stage screens(12)