Tingyu Chen, Tiange Chen, Wenjie Xu, Shaoshan Liang, Feng Xu, Dandan Liang, Xiang Li, Caihong Zeng, Guotong Xie, Zhihong Liu
Development and external validation of a multidimensional deep learning model to dynamically predict kidney outcomes in IgA nephropathy
Clinical journal of the American Society of Nephrology : CJASN
financial support childrens medical expenses introduced many countries limited work done price elasticity childrens healthcare demand especially countries united states moreover remains unclear effects change cost sharing rate healthcare demand would differ medical condition investigated impact increase cost sharing rate medical service utilization among school children whole nine common conditions applying differenceindifferences approach study period ranged april 1 2012 march 30 2014 participants elementary school children urban area eligible national health insurance communitybased public insurance study period enrolled 2nd 3rd 4th grade april 2013 collected observations 2896 persons 69504 2896 24 months personmonths elementary school children promoted 4th grade became disqualified municipal medical subsidy control group children promoted 2nd 3rd grade remained eligible subsidy data obtained health insurance claims identified nine common medical conditions among subject children stratified analyses condition diagnosed found increase cost sharing rate reduced outpatient service utilization whole also observed increase inpatient service utilization worsened health conditions rather due substitution inpatient service outpatient service reductions outpatient service heterogeneous across medical conditions declines sharper mild chronic conditions findings may help characterize change cost sharing rate affects health outcomes children