Study Status: Not yet recruiting
Recruit Status: Not yet recruiting
Study Type: Observational
Official Title: Development of a Risk Prediction Model for Identifying Potentially Avoidable Readmissions of Patients Hospitalized With Community-Acquired Pneumonia
Brief Summary:
From 10% to 30% of patients hospitalized with community-acquired pneumonia (CAP) are readmitted within 30 days of discharge. These readmissions have negative consequences for the patients and the hospitals where they are treated, including impaired quality of life, exposure to hospital-related adverse events, and increased resource utilization.
Risk-adjusted readmission rates can be easily computed and tracked from computerized hospital discharge data, using validated models. As part of the Hospital Readmission Reduction Program (HRRP) effective in fiscal year 2013, United States hospitals with higher than expected 30-day readmission rates after pneumonia hospitalization have been subject to financial penalties from the Center for Medicare and Medicaid Services (CMS). The underlying logic of the HRRP is based upon the notion that short-term readmission is often a preventable adverse outcome, reflecting suboptimal quality of care during index hospitalization. Yet, published evidence suggests that less than one in four all-cause readmissions are deemed avoidable. Because only avoidable readmissions can be influenced by interventions designed to decrease readmission rates, avoidable readmission is a more relevant metric than all-cause readmission for tracking quality of hospital care for pneumonia.
The purpose of this study is to develop an administrative data-based risk prediction model for identifying potentially avoidable readmissions within 30 days of discharge for patients hospitalized with CAP.
R3P is a retrospective observational cohort study of consecutive adult patients discharged from two hospitals with a diagnosis code of CAP. Data sources include routinely collected hospital discharge data and retrospective chart reviews.