Using health administrative data to model associations and predict hospital admissions and length of stay for people with eating disorders.

ABSTRACT:

Background

Eating disorders are serious mental illnesses requiring a whole of health approach. Routinely collected health administrative data has clinical utility in describing associations and predicting health outcome measures. This study aims to develop models to assess the clinical utility of health administrative data in adult eating disorder emergency presentations and length of stay.

Methods

Retrospective cohort study on health administrative data in adults with eating disorders from 2014 to 2020 in Sydney Local Health District. Emergency and admitted patient data were collected with all clinically important variables available. Multivariable regression models were analysed to explore associations and to predict admissions and length of stay.

Results

Emergency

SUBMITTER: Kim M 

PROVIDER: S-EPMC10170048 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature