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Dataset Information

Cross-classified Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to evaluate hospital performance: the case of hospital differences in patient survival after acute myocardial infarction.


ABSTRACT:

Objective

To describe a novel strategy, Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to evaluate hospital performance, by analysing differences in 30-day mortality after a first-ever acute myocardial infarction (AMI) in Sweden.

Design

Cross-classified study.

Setting

68 Swedish hospitals.

Participants

43 247 patients admitted between 2007 and 2009, with a first-ever AMI.

Primary and secondary outcome measures

We evaluate hospital performance by analysing differences in 30-day mortality after a first-ever AMI using a cross-classified multilevel analysis. We classified the patients into 10 categories according to a risk score (RS) for 30-day mortality and created 680 strata defined by combining hospital and RS categor

SUBMITTER: Rodriguez-Lopez M 

PROVIDER: S-EPMC7590346 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature