“…Prior research has identified patient age, baseline functional status, governmental forms of insurance, procedure duration, and surgical complications as risk factors for prolonged LOS and resource intensive discharges [ 4 , [9] , [10] , [11] , [12] , [13] , [14] , [15] , [16] ]. However, these studies were largely performed on national databases which only provide coarse estimates of socioeconomic status (SES) through variables such as age, gender, race, and insurance status [ 9 , [12] , [13] , [14] , [17] , [18] , [19] , [20] ].…”