Measuring the Volume-Outcome Relation for Complex Hospital Surgery.

ABSTRACT:

Background

Prominent studies continue to measure the hospital volume-outcome relation using simple logistic or random-effects models. These regression models may not appropriately account for unobserved differences across hospitals (such as differences in organizational effectiveness) which could be mistaken for a volume outcome relation.

Objective

To explore alternative estimation methods for measuring the volume-outcome relation for six major cancer operations, and to determine which estimation method is most appropriate.

Methods

We analyzed patient-level hospital discharge data from three USA states and data from the American Hospital Association Annual Survey of Hospitals from 2000 to 2011. We studied six major cancer operations using three regression frameworks (

SUBMITTER: Kim W 

PROVIDER: S-EPMC4937076 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature