Nationwide Hospital Performance on Publicly Reported Episode Spending Measures
BACKGROUND: Medicare has implemented strategies to improve value by containing hospital spending for episodes of care. Compared with payment models, publicly reported episode-based spending measures are underrecognized strategies.
OBJECTIVE: To provide the first nationwide description of hospitals’ episode-based spending based on publicly reported Clinical Episode-Based Payment (CEBP) measures.
DESIGN, SETTING, AND PARTICIPANTS: We used 2017 Hospital Compare data to assess spending on six CEBPs among 1,778 hospitals. We examined spending variation and its drivers, correlation between CEBPs, and spending by cost performance categories (for individual CEBPs, below vs above average spending; for across-CEBP comparisons, high vs low vs mixed cost). We also compared hospital spending performance on CEBPs with a global Medicare Spending Per Beneficiary measure.
MAIN OUTCOMES AND MEASURES: Episode spending. RESULTS: Episode spending varied by CEBP type, with skilled nursing facility (SNF) care accounting for the majority of spending variation for procedural episodes but not for condition episodes. Across CEBPs, greater proportions of episode spending were attributed to SNF care at high- (18.1%) vs mixed- (10.7%) vs low-cost (9.2%) hospitals (P > .001). There was low within-hospital CEBP correlation and low correlation and concordance between hospitals’ CEBP and Medicare Spending Per Beneficiary performance.
CONCLUSIONS: Variation reduction and savings opportunities in SNF care for procedural episodes suggest that they may be better suited for existing payment models than condition episodes are. Spending performance was not hospital specific, which highlights the potential utility of episode spending measures beyond global measures.
© 2020 Society of Hospital Medicine
METHODS
Data and Study Sample
We utilized publicly available data from Hospital Compare, which include information about hospital-level CEBP and Medicare Spending Per Beneficiary performance for Medicare-certified acute care hospitals nationwide.5 Our analysis evaluated the six CEBP measures tested by Medicare in 2017: three conditions (cellulitis, kidney/urinary tract infection [UTI], gastrointestinal hemorrhage) and three procedures (spinal fusion, cholecystectomy and common duct exploration, and aortic aneurysm repair). Per Medicare rules, CEBP measures are calculated only for hospitals with requisite volume for targeted conditions (minimum of 40 episodes) and procedures (minimum of 25 episodes) and are reported on Hospital Compare in risk-adjusted (eg, for age, hierarchical condition categories in alignment with existing Medicare methodology) and payment-standardized form (ie, accounts for wage index, medical education, disproportionate share hospital payments) . Each CEBP encompasses episodes with or without major complications/comorbidities.
For each hospital, CEBP spending is reported as average total episode spending, as well as average spending on specific components. We grouped components into three groups: hospitalization, skilled nursing facility (SNF) use, and other (encompassing postdischarge readmissions, emergency department visits, and home health agency use), with a focus on SNF given existing evidence from episode-based payment models about the opportunity for savings from reduced SNF care. Hospital Compare also provides information about the national CEBP measure performance (ie, average spending for a given episode type among all eligible hospitals nationwide).
Hospital Groups
To evaluate hospitals’ CEBP performance for specific episode types, we categorized hospitals as either “below average spending” if their average episode spending was below the national average or “above average spending” if spending was above the national average. According to this approach, a hospital could have below average spending for some episodes but above average spending for others.
To compare hospitals across episode types simultaneously, we categorized hospitals as “low cost” if episode spending was below the national average for all applicable measures, “high cost” if episode spending was above the national average for all applicable measures, or “mixed cost” if episode spending was above the national average for some measures and below for others.
We also conducted sensitivity analyses using alternative hospital group definitions. For comparisons of specific episode types, we categorized hospitals as “high spending” (top quartile of average episode spending among eligible hospitals) or “other spending” (all others). For comparisons across all episode types, we focused on SNF care and categorized hospitals as “high SNF cost” (top quartile of episode spending attributed to SNF care) and “other SNF cost” (all others). We applied a similar approach to Medicare Spending Per Beneficiary, categorizing hospitals as either “low MSPB cost” if their episode spending was below the national average for Medicare Spending Per Beneficiary or “high MSPB cost” if not.
Statistical Analysis
We assessed variation by describing the distribution of total episode spending across eligible hospitals for each individual episode type, as well as the proportion of spending attributed to SNF care across all episode types. We reported the difference between the 10th and 90th percentile for each distribution to quantify variation. To evaluate how individual episode components contributed to overall spending variation, we used linear regression and applied analysis of variance to each episode component. Specifically, we regressed episode spending on each episode component (hospital, SNF, other) separately and used these results to generate predicted episode spending values for each hospital based on its value for each spending component. We then calculated the differen-ces (ie, residuals) between predicted and actual total episode spending values. We plotted residuals for each component, with lower residual plot variation (ie, a flatter curve) representing larger contribution of a spending component to overall spending variation.
