A novel housing-based socioeconomic measure predicts hospitalisation and multiple chronic conditions in a community population.

ABSTRACT:

Background

Socioeconomic status (SES) is an important predictor for outcomes of chronic diseases. However, it is often unavailable in clinical data. We sought to determine whether an individual housing-based SES index termed HOUSES can influence the likelihood of multiple chronic conditions (MCC) and hospitalisation in a community population.

Methods

Participants were residents of Olmsted County, Minnesota, aged >18 years, who were enrolled in Mayo Clinic Biobank on 31 December 2010, with follow-up until 31 December 2011. Primary outcome was all-cause hospitalisation over 1 calendar-year. Secondary outcome was MCC determined through a Minnesota Medical Tiering score. A logistic regression model was used to assess the association of HOUSES with the Minnesota tiering score. Wi

SUBMITTER: Takahashi PY 

PROVIDER: S-EPMC4852846 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature