Development and validation of a tool to predict high-need, high-cost patients hospitalised with ischaemic heart disease.

ABSTRACT:

Objective

To develop and validate a tool to predict patients with ischaemic heart disease (IHD) at risk of excessive healthcare resource utilisation.

Design

A retrospective cohort study.

Setting

We identified patients through the State of Florida Agency for Health Care Administration (N=586 518) inpatient dataset.

Participants

Adult patients (at least 40 years of age) admitted to the hospital with a diagnosis of IHD between 1 January 2007 and 31 December 2016.

Primary outcome measures

We identified patients whose healthcare utilisation is higher than presumed (analysis of residuals) and used logistic regression (binary and multinomial) in estimating the predictive models to classify individual as high-need, high-care (HNHC) patients relative to inpatient

SUBMITTER: Nkemdirim Okere A 

PROVIDER: S-EPMC10533782 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature