Comparing regression modeling strategies for predicting hometime.

ABSTRACT:

Background

Hometime, the total number of days a person is living in the community (not in a healthcare institution) in a defined period of time after a hospitalization, is a patient-centred outcome metric increasingly used in healthcare research. Hometime exhibits several properties which make its statistical analysis difficult: it has a highly non-normal distribution, excess zeros, and is bounded by both a lower and upper limit. The optimal methodology for the analysis of hometime is currently unknown.

Methods

Using administrative data we identified adult patients diagnosed with stroke between April 1, 2010 and December 31, 2017 in Ontario, Canada. 90-day hometime and clinically relevant covariates were determined through administrative data linkage. Fifteen different stati

SUBMITTER: Holodinsky JK 

PROVIDER: S-EPMC8261957 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature