Exploring variation in low-value care: a multilevel modelling study.

ABSTRACT:

Background

Whether patients receive low-value hospital care (care that is not expected to provide a net benefit) may be influenced by unmeasured factors at the hospital they attend or the hospital's Local Health District (LHD), or the patients' areas of residence. Multilevel modelling presents a method to examine the effects of these different levels simultaneously and assess their relative importance to the outcome. Knowing which of these levels has the greatest contextual effects can help target further investigation or initiatives to reduce low-value care.

Methods

We conducted multilevel logistic regression modelling for nine low-value hospital procedures. We fit a series of six models for each procedure. The baseline model included only episode-level variables with no mu

SUBMITTER: Badgery-Parker T 

PROVIDER: S-EPMC6543591 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature