What is the best way to estimate hospital quality outcomes? A simulation approach.

ABSTRACT:

Objective

To test the accuracy of alternative estimators of hospital mortality quality using a Monte Carlo simulation experiment.

Data sources

Data are simulated to create an admission-level analytic dataset. The simulated data are validated by comparing distributional parameters (e.g., mean and standard deviation of 30-day mortality rate, hospital sample size) with the same parameters observed in Medicare data for acute myocardial infarction (AMI) inpatient admissions.

Study design

We perform a Monte Carlo simulation experiment in which true quality is known to test the accuracy of the Observed-over-Expected estimator, the Risk Standardized Mortality Rate (RSMR), the Dimick and Staiger (DS) estimator, the Hierarchical Poisson estimator, and the Moving Average estimat

SUBMITTER: Ryan A 

PROVIDER: S-EPMC3401406 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature