Ontology highlight
ABSTRACT: Background and aims
Policy makers and health system managers are seeking evidence on the risks involved for patients associated with after-hours care. This study of approximately 1 million patients who were admitted to the 25 largest public hospitals in Queensland Australia sought to quantify mortality and readmission differences associated with after-hours hospital admission.Methods
Logistic regression was used to assess whether there were any differences in mortality and readmissions based on the time inpatients were admitted to hospital (after-hours versus within hours). Patient and staffing data, including the variation in physician and nursing staff numbers and seniority were included as explicit predictors within patient outcome models.Results
After adjusting
SUBMITTER: Bell A
PROVIDER: S-EPMC10041863 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature