Cluster-Randomized Trial: No reduction in hospitalization rates with EHR-based algorithm in chronic kidney disease patients
30 Apr, 2024 | 13:16h | UTCThis study evaluates the effectiveness of a personalized EHR-based algorithm combined with practice facilitators to reduce hospitalization rates among patients with chronic kidney disease, type 2 diabetes, and hypertension. Conducted as an open-label, cluster-randomized trial across 141 primary care clinics, 11,182 patients were divided into two groups: the intervention group (5,690 patients) and the usual-care group (5,492 patients). After one year, the hospitalization rate was slightly lower in the intervention group (20.7%) compared to the usual-care group (21.1%), but this difference was not statistically significant (p=0.58). Secondary outcomes, including emergency department visits, readmissions, cardiovascular events, dialysis, and death rates were similar between the groups, except for a slightly higher rate of acute kidney injury in the intervention group. The study concludes that the EHR-based intervention did not significantly decrease hospitalizations at one year.
Commentary on X:
Original Article: Pragmatic Trial of Hospitalization Rate in Chronic Kidney Disease (ICD-Pieces trial) https://t.co/aJ0Ao0uf90 #Nephrology pic.twitter.com/l4xc54Buxy
— NEJM (@NEJM) April 8, 2024
Reference (link to abstract – $ for full-text):