Development of a 30-Day Readmission Risk Calculator for the Inpatient Rehabilitation Setting.

ABSTRACT:

Objectives

Readmission to acute care from the inpatient rehabilitation facility (IRF) setting is potentially preventable and an important target of quality improvement and cost savings. The objective of this study was to develop a risk calculator to predict 30-day all-cause readmissions from the IRF setting.

Design

Retrospective database analysis using the Uniform Data System for Medical Rehabilitation (UDS_MR) from 2015 through 2019.

Setting and participants

In total, 956 US inpatient rehabilitation facilities and 1,849,768 IRF discharges comprising patients from 14 impairment groups.

Methods

Logistic regression models were developed to calculate risk-standardized 30-day all-cause hospital readmission rates for patients admitted to an IRF. Models for

SUBMITTER: Sparling TL 

PROVIDER: S-EPMC9926973 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature