Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries

The burden of chronic kidney disease (CKD) is growing globally, particularly in low- and lower-middle-income countries (LLMICs) where access to treatment is poor and the largest increases in disease burden will occur. The individual and societal costs of kidney disease are well recognized, especially in developed health care systems where treatments for the advanced stages of CKD are more readily available. The consequences of CKD are potentially more catastrophic in developing health care systems where such resources are often lacking. Central to addressing this challenge is the availability of data to understand disease burden and ensure that investments in treatments and health resources are effective at a local level. Use of routinely collected administrative data is helpful in this regard, however, the barriers to developing a more systematic focus on data collection should not be underestimated. This article reviews the current tools that have been used to measure the burden of CKD and considers limitations regarding their use in LLMICs. A review of the literature investigating the use of registries, disease specific databases and administrative data to identify populations with CKD in LLMICs, which indicate these to be underused resources, is included. Suggestions regarding the potential use of administrative data for measuring CKD burden in LLMICs are explored.

Automated summary

The burden of chronic kidney disease is increasing globally, especially in low- and lower-middle-income countries where access to treatment is poor. Developed healthcare systems are better equipped to handle the treatment of CKD compared to developing countries. Availability of data plays a crucial role in understanding disease burden and ensuring effective investments in treatments and healthcare resources.