I am currently embarking on a multicenter look at variations in value delivery to critically ill children across congenital cardiac surgical centers across the US, using data merged from two data streams, a clinical registry (Pediatric Cardiac Critical Care Consortium or PC4) and an administrative data set (Pediatric Health Information Service) to try and pull together the numerator and denominator of the value equation I was wondering who would be able to help me think about how best to look at cost (and value) comparisons from a statistical standpoint, with respect to outcomes including mortality. Specifically, given that some children die relatively soon after surgery, they may not incur substantial cost though one would also argue that they didnt get the alue" they wanted from their episode of care Im thinking about this from a censoring and survival curve/Kaplan-Meier standpoint, but Im sure it is more complex than that which is where I think some healthcare economic statistical prowess would come in handy.
Method of transport (helicopter, airplane, or ambulance) Burn Size Outside hospital estimate of burn size Actual burn size (as determined by our burn attending) Burn Mechanism Fluid resuscitation data including fluid type, rate, and bolus administration. Intubation status Length of stay (both ICU and total hospital) The difference between our estimate of burn size and outside hospitals' estimates Trends in fluid resuscitation rates Trends in air versus ground transport