Nomogram to Predict Postoperative Readmission in Patients Who Undergo General Surgery.

ABSTRACT:

Importance

The Centers for Medicare and Medicaid Services have implemented penalties for hospitals with above-average readmission rates under the Hospital Readmissions Reductions Program. These changes will likely be extended to affect postoperative readmissions in the future.

Objectives

To identify variables that place patients at risk for readmission, develop a predictive nomogram, and validate this nomogram.

Design, setting, and participants

Retrospective review and prospective validation of a predictive nomogram. A predictive nomogram was developed with the linear predictor method using the American College of Surgeons National Surgical Quality Improvement Program database paired with institutional billing data for patients who underwent nonemergent inpatient gene

SUBMITTER: Tevis SE 

PROVIDER: S-EPMC4824195 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature