Early Detection of Chronic Kidney Disease in Mexico, a Case for Policy Transfer

墨西哥慢性肾病早期检测:政策转移的案例

阅读:3

Abstract

INTRODUCTION: Chronic kidney disease (CKD) treatment is often delayed in many countries, creating challenges for the health system. Therefore, it is necessary to strengthen its detection and management from the early stages. Local experiences that have been successful in managing CKD could transfer their policies and thus systematically expand the scope of their organizational learning. PURPOSE: To characterize the elements of a success story of early detection and care of CKD in an adult population with social security, in order to transfer it to a similar organization. PATIENTS AND METHODS: Qualitative study of organizational nature, exploratory, descriptive, and analytical. It consisted of a narrative review, documentation of the process in a primary care unit of a social security institution in Jalisco, Mexico, and a flowchart linking the primary components. The analysis followed the questions used in the design of integrated care pathways. RESULTS: The literature review highlighted that early detection should be targeted at groups at risk for developing CKD, defining the clinical tests necessary to monitor and stage CKD, as well as management by a multidisciplinary team and the use of nephroprotective drugs. The case characterization provided insight into the institutional context in which the care process for patients with risk factors for CKD takes place. By incorporating the results of the review into the clinical care process, an ideal process for early detection of CKD was developed. CONCLUSION: This research allowed the incorporation of elements of the institutional context in the characterization of the process of early detection and care of CKD, systematically identifying organizational and clinical elements that can promote the transfer of this process to other contexts.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。