Department of Medicine, University of Alberta, Edmonton, AB, Canada.
Nephrol Dial Transplant. 2012 Oct;27 Suppl 3:iii12-8. doi: 10.1093/ndt/gfs163. Epub 2012 Jun 25.
Good-quality information is required to plan healthcare services for patients with chronic diseases. Such information includes measures of disease burden, current care patterns and gaps in care based on quality-of-care indicators and clinical outcomes. Administrative data have long been used as a source of information for policy decisions related to the management of chronic diseases including cardiovascular disease, diabetes and hypertension. More recently, chronic kidney disease (CKD) has been acknowledged as a significant public health issue. Administrative data, particularly when supplemented by the use of routine laboratory data, have the potential to inform the development of optimal CKD care strategies, generate hypotheses about how to slow disease progression and identify risk factors for adverse outcomes. Available data may allow case identification and assessment of rates and patterns of disease progression, evaluation of risk and complications, including current gaps in care, and an estimation of associated costs. In this article, we use the example of the Alberta Kidney Disease Network to describe how researchers and policy makers can collaborate, using administrative data sources to guide health policy for the care of CKD patients.
需要高质量的信息来为慢性病患者规划医疗服务。此类信息包括疾病负担指标、基于医疗质量指标和临床结果的当前护理模式以及护理差距。长期以来，行政数据一直被用作与管理包括心血管疾病、糖尿病和高血压在内的慢性病相关的政策决策的信息来源。最近，慢性肾脏病（CKD）已被公认为一个重大的公共卫生问题。行政数据，特别是在补充常规实验室数据的情况下，有可能为制定最佳 CKD 护理策略提供信息，提出有关如何减缓疾病进展的假设，并确定不良结果的风险因素。现有数据可能允许病例识别和疾病进展速度和模式的评估、风险和并发症的评估，包括当前的护理差距，并估计相关成本。在本文中，我们将以艾伯塔省肾脏病网络为例，描述研究人员和政策制定者如何使用行政数据源合作，为 CKD 患者的护理制定卫生政策。
