...
首页> 外文期刊>BMC research notes >Measuring quality of diabetes care by linking health care system administrative databases with laboratory data
【24h】

Measuring quality of diabetes care by linking health care system administrative databases with laboratory data

机译:通过使用实验室数据将医疗保健系统管理数据库联系起来,测量糖尿病护理的质量

获取原文
           

摘要

Background Chronic complications of diabetes can be reduced through optimal glycemic and lipid control as evaluated through measurement of glycosylated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C). We aimed to produce measures of quality of diabetes care in Saskatchewan and to identify sub-groups at particular risk of developing complications. Findings Prevalent adult cases of diabetes in 2005/06 were identified from administrative databases and linked with A1C and LDL-C tests measured in centralized laboratories. A1C results were performed in 33,927 of 50,713 (66.9%) diabetes cases identified in Saskatchewan, and LDL-C results were performed in 12,031 of 24,207 (49.7%) cases identified within the province's two largest health regions. The target A1C of Conclusions Linkage of laboratory with administrative data is an effective method of assessing quality of diabetes care on a population basis and to identify sub-groups requiring particular attention. We found that less than 50% of Saskatchewan people with diabetes achieved optimal glycemic and lipid control. Disparities were most evident among First Nations people and young women. The indicators described can be used to provide standardized information that would support quality improvement initiatives.
机译:背景糖尿病慢性并发症可以通过最佳血糖和血脂控制通过糖化血红蛋白(A1C)和低密度脂蛋白胆固醇(LDL-C)的测量进行评价降低。我们旨在在萨斯喀彻温省糖尿病护理的质量措施,并鉴定特定发生发展并发症的亚组。发现糖尿病的流行成人病例在2005/06从管理数据库进行鉴定,并与A1C链接和LDL-C测试中心实验室测量。 A1C结果在50713的33927在萨斯喀彻温省确定的(66.9%),糖尿病患者中进行,而LDL-C结果在全省最大的两个健康的区域内标识24207的12031(49.7%)的情况下进行。行政数据的结论实验室联动的目标A1C是评价一个群体的基础之上糖尿病护理的质量,并确定需要特别关注的子组的有效方法。我们发现萨斯喀彻温省的人,不到50%的糖尿病患者达到最佳的血糖和血脂控制。差距是第一民族和年轻女性中最为明显。描述的指标可以用来提供一个能够支持质量改进计划的标准化信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号