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Dataset Information

Development of a predictive score for potentially avoidable hospital readmissions for general internal medicine patients.


ABSTRACT:

Background

Identifying patients at high risk of hospital preventable readmission is an essential step towards selecting those who might benefit from specific transitional interventions.

Objective

Derive and validate a predictive risk score for potentially avoidable readmission (PAR) based on analysis of readmissions, with a focus on medication.

Design/setting/participants

Retrospective analysis of all hospital admissions to internal medicine wards between 2011 and 2014. Comparison between patients readmitted within 30 days and non-readmitted patients, as identified using a specially designed algorithm. Univariate and multivariate regression analyses of demographic data, clinical diagnoses, laboratory results, and the medication data of patients admitted during the fir

SUBMITTER: Blanc AL 

PROVIDER: S-EPMC6629067 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature