Abstract 1: Readmission Rates Across All Insurance Types After Passage of the Hospital Readmissions Reduction Program: A Nationwide Analysis

2019 ◽  
Vol 12 (Suppl_1) ◽  
Author(s):  
Enrico G Ferro ◽  
Eric A Secemsky ◽  
Rishi K Wadhera ◽  
Eunhee Choi ◽  
Jordan B Strom ◽  
...  
Author(s):  
Lila M Martin ◽  
Ryan W Thompson ◽  
Timothy G Ferris ◽  
Jagmeet P Singh ◽  
Elizabeth Laikhter ◽  
...  

Introduction: Medicare’s Hospital Readmissions Reduction Program assesses financial penalties for hospitals based on risk-standardized readmission rates after specific episodes of care, including acute myocardial infarction (AMI). Whether the algorithm accurately identifies patients with AMI who have preventable readmission is unknown. Methods: Using administrative data from Medicare, we conducted physician-adjudicated chart reviews of all patients considered 30 day readmissions after AMI attributed to one hospital from July 2012-June 2015. We extracted information about revascularization during index hospitalization. For patients readmitted to the index hospital or an affiliate, we also extracted reason for readmission. Results: Of 199 admissions, 66 (33.2%) received PCI and 19 (9.6%) underwent CABG on index hospitalization. The remainder of patients did not receive any intervention, i.e. 39 patients (19.6%) were declined due to procedural risk, 15 (7.5%) because of goals of care and 14 (7.0%) refused revascularization. Forty-six patients (23.1%) had troponin elevation in the absence of an MI and did not have an indication for revascularization. The most common diagnoses of the 161 (80.9%) patients readmitted to the index hospital or an affiliate were infections and cardiac and non-cardiac chest discomfort (Table 1). Conclusions: Our results demonstrate that many AMI patients who count towards the Medicare penalty do not receive revascularization during the index hospitalization because of high procedural risk or patient preference. Focusing on these patients may improve readmission metric performance. Furthermore, adding administrative codes for prohibitive procedural risk may improve accuracy of the metric as a measure of quality.


2021 ◽  
pp. 56-66
Author(s):  
Wasiq Sheikh ◽  
Malik Bilal Ahmed ◽  
Anshul Parulkar ◽  
Tamara Lhungay ◽  
Esseim Sharma ◽  
...  

Background: The Hospital Readmission Reduction Program (HRRP) sought to reduce readmissions by penalising centres with readmissions above the national average, and heart failure (HF) is the leading driver of the readmission penalty. Recent Medicare analyses question the effectiveness of this strategy. This study evaluated the efficacy of HRRP by utilising large national datasets and is the first to analyse based on heart failure subtypes. Methods: Aggregate data was used from the National Inpatient Sample (NIS) to study mortality and the National Readmissions Database (NRD) to study readmissions. Both included all payer-types and were stratified by heart failure subtype and time (pre- and post-HRRP implementation). Results: Patients with HF with preserved ejection fraction (HFpEF) tended to be older females with a higher proportion of comorbidities compared to patients with HF with reduced ejection fraction (HFrEF). In the post-HRRP period, readmission rates decreased for HFrEF (21.4% versus 22.3%, p<0.001) and HFpEF (21.2% versus 22.4%, p<0.001); readmission rates for the two subtypes were not statistically different compared to the other. Post-HRRP, inpatient mortality was consistent for HFrEF (2.8% versus 2.8%, p=0.087), but decreased for HFpEF (2.4% versus 2.5%, p=0.029). There were no significant differences noted in average length of stay. Patients with HFrEF were more frequently discharged to short-term hospitals or home with home healthcare, and patients with HFpEF were discharged to skilled nursing facilities more often. Estimated inpatient costs decreased in both subtypes post-HRRP, but readmission costs were higher for HFrEF. Conclusions: This study suggests that HRRP was associated with minimal change in readmission and inpatient mortality.


2016 ◽  
Vol 166 (5) ◽  
pp. 324 ◽  
Author(s):  
Jason H. Wasfy ◽  
Corwin Matthew Zigler ◽  
Christine Choirat ◽  
Yun Wang ◽  
Francesca Dominici ◽  
...  

2020 ◽  
Author(s):  
Kenan Arifoğlu ◽  
Hang Ren ◽  
Tolga Tezcan

The Hospital Readmissions Reduction Program (HRRP) reduces Medicare payments to hospitals with higher than expected readmission rates where the expected readmission rate for each hospital is determined based on the readmission levels at other hospitals. Although similar relative performance-based schemes are shown to lead to socially optimal outcomes in other settings (e.g., cost-cutting efforts), HRRP differs from these schemes in three respects: (i) deviation from the targets is adjusted using a multiplier; (ii) the total financial penalty for a hospital with higher than expected readmission rate is capped; and (iii) hospitals with lower than expected readmission rates do not receive bonus payments. We study three regulatory schemes derived from HRRP to determine the impact of each feature and use a principal-agent model to show that (i) HRRP overpenalizes hospitals with excess readmissions because of the multiplier and its effect can be substantial; (ii) having a penalty cap can curtail the effect of financial incentives and result in a no equilibrium outcome when the cap is too low; and (iii) not allowing bonus payments leads to many alternative symmetric equilibria, including one where hospitals exert no effort to reduce readmissions. These results show that HRRP does not provide the right incentives for hospitals to reduce readmissions. Next, we show that a bundled payment-type reimbursement method, which reimburses hospitals once for each episode of care (including readmissions), leads to socially optimal cost and readmissions reduction efforts. Finally, we show that, when delays to accessing care are inevitable, the reimbursement schemes need to provide additional incentives for hospitals to invest sufficiently in capacity. This paper was accepted by Stefan Scholtes, healthcare management.


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