A0254
Title: High-dimensional fixed effects profiling models and applications
Authors: Danh Nguyen - University of California, Irvine (United States) [presenting]
Abstract: Profiling analysis aims to evaluate healthcare providers, such as hospitals, nursing homes, dialysis facilities, etc., concerning a patient's outcome. Fixed effects (FE) profiling methods have considered binary outcomes, such as 30-day hospital readmission or mortality. For the unique population of dialysis patients, (1) regular blood tests are required to evaluate the effectiveness of treatment and avoid adverse events, including dialysis inadequacy, imbalance mineral levels, and anaemia, among others, as well as (2) the need for continuous monitoring/care after transitioning to dialysis. The versatility of FE profiling models is illustrated through several applications in profiling dialysis facilities in the U.S. and recent FE model developments, including (a) time-varying/time-dynamic standardized readmission ratio, (b) profiling for recurrent adverse events, and (c) new insights on operating characteristics such performance of FE model under the low information context/sparse outcome data setting.
