New Study Reveals Electronic Health Record-Based Algorithm and Intervention Fails to Reduce Hospitalization Rates in Chronic Kidney Disease, Type 2 Diabetes, and Hypertension Patients at One Year.

A recent study published in the New England Journal of Medicine revealed that an electronic health record-based algorithm and intervention did not lead to reduced hospitalization rates among patients with chronic kidney disease, type 2 diabetes, and hypertension at one year.

Conducted by Miguel A. Vazquez, M.D., and colleagues at the University of Texas Southwestern Medical Center, the study involved 11,182 patients across 141 primary care clinics. Patients were randomly assigned to receive an intervention using a personalized algorithm or usual care. The results showed that hospitalization rates at one year were similar between the intervention group and the usual care group, as were the risks for emergency department visits, readmissions, cardiovascular events, dialysis, or death from any cause.

The researchers noted a slightly higher risk of adverse events, specifically acute kidney injury, in the intervention group compared to the usual care group. However, overall, the study did not find better disease control or reduced hospitalization with the intervention compared to usual care.

These findings suggest that more research is needed to determine the most effective strategies for managing chronic kidney disease, type 2 diabetes, and hypertension in primary care settings. The study was published in the New England Journal of Medicine and was supported by the University of Texas Southwestern Medical Center.