Grabert Matthias, Schweiggert Franz, Holl Reinhard W
Department of Applied Information Processing, University of Ulm, Helmholtzstr. 18, D-89069 Ulm, Germany.
Comput Methods Programs Biomed. 2002 Aug;69(2):115-21. doi: 10.1016/s0169-2607(02)00035-4.
The DPV approach for quality management and documentation of diabetes in Germany consists of three basic modules: the diabetes documentation software DPV, semi-annual benchmarking for diabetes units (QC-DPV), and a data pool for diabetes research (DPV-SCIENT). The documentation system is available for general practices as well as for hospitals, and it supports the daily routine work of the diabetes team. The system covers a superset for all important data sets of quality initiatives in Germany. Longitudinal analyses of quality indicators related to diabetes are integrated. Twice a year, nation-wide benchmarking for pediatric diabetic units are performed, evaluating the outcome of their diabetes therapy. An improvement in completeness of control examinations could be observed during the last years in QC-DPV. The DPV-SCIENT data pool contains about 251000 single examinations of 21000 patients with diabetes. At least 53% of all patients with Type 1 diabetes in Germany who are less than 20 years of age are documented in DPV-SCIENT.
德国糖尿病质量管理与文档记录的糖尿病文档编制与验证（DPV）方法由三个基本模块组成：糖尿病文档软件DPV、糖尿病科室的半年期基准评估（质量控制 - DPV）以及糖尿病研究数据库（DPV - SCIENT）。该文档系统可供普通诊所和医院使用，并支持糖尿病团队的日常工作。该系统涵盖了德国质量倡议所有重要数据集的超集。整合了与糖尿病相关的质量指标的纵向分析。每年对儿科糖尿病科室进行两次全国范围的基准评估，以评估其糖尿病治疗效果。在过去几年中，质量控制 - DPV中控制检查的完整性有所提高。DPV - SCIENT数据库包含约21000名糖尿病患者的251000次单项检查。德国至少53%年龄小于20岁的1型糖尿病患者在DPV - SCIENT中有记录。
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