Objective
To understand the impact of the Hospital Readmission Reduction Program on both future targeted and non-targeted surgical procedures.
Summary Background Data
The Hospital Readmission Reduction Program, established under the Affordable Care Act in March of 2010, placed financial penalties on hospitals with higher-than-expected rates of readmission beginning in 2012 for targeted medical conditions. Multiple studies have suggested a “spill-over” effect into other conditions, but the extent of that effect for specific surgical procedures is unknown.
Methods
A retrospective review 5,122,240 Medicare beneficiaries who underwent future targeted procedures (total hip replacement, total knee replacements) or non-targeted procedures (colectomy, lung resection, abdominal aortic aneurysm repair, coronary artery bypass graft, aortic valve replacement, mitral valve repair) using an interrupted time-series model to assess the rates of readmission before the Hospital Readmission Reduction Program was announced (2008 to 2010), while the program was being implemented (2010 to 2012) and after penalties were initiated (2012 to 2014). We also explored if the change in readmission rates were correlated with changes in index length of stay, use of observation status or discharge to a skilled nursing facility.
Results
From 2008 to 2014 rates of readmission declined for both target conditions (6.8% to 4.8%; slope change −0.07 to −0.10, p<0.001) and non-target conditions (17.1% to 13.4%; slope change −0.04 to −0.11, p<0.001). The rate of reduction was most prominent after announcement of the program between 2010 and 2012 for both targeted and non-targeted conditions. During the same time period, mean hospital length of stay decreased; non-targeted conditions (10.4 days to 8.4 days) and targeted conditions (3.6 days to 2.8 days). There was no correlation between hospital reduction in readmissions and use of observation-only admissions (Pearson Correlation Coefficient=0.01) or discharge to a skilled nursing facility (Pearson Correlation Coefficient=0.05).
Conclusions
Trends in readmissions after inpatient surgery are consistent with hospitals responding to financial incentives announced in the Hospital Readmission Reduction Program. There appears to be both an anticipatory effect (future targeted procedures reducing readmission before payments implemented) as well as a spillover effect (non-targeted procedures also reducing readmissions).