Could an integrated model of health and social care after critical illness reduce socioeconomic disparities in outcomes? A Bayesian analysis.

ABSTRACT:

Background

There is limited evidence to understand what impact, if any, recovery services might have for patients across the socioeconomic spectrum after critical illness. We analysed data from a multicentre critical care recovery programme to understand the impact of this programme across the socioeconomic spectrum.

Methods

The setting for this pre-planned secondary analysis was a critical care rehabilitation programme-Intensive Care Syndrome: Promoting Independence and Return to Employment. Data were collected from five hospital sites running this programme. We utilised a Bayesian approach to analysis and explore any possible effect of the InS:PIRE intervention on Health-Related Quality of Life (HRQoL) across the socioeconomic gradient. A Bayesian quantile, non-linear mixe

SUBMITTER: McPeake J 

PROVIDER: S-EPMC10844938 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature