Introduction
In 2018, Medicare made participation in the Comprehensive Care for Joint Replacement (CJR) program, which had been mandatory for all hospitals in 67 metropolitan statistical areas (MSAs), voluntary in the 33 of 67 MSAs with the lowest historical costs. CJR was designed to hold hospitals accountable for the cost and quality of care during hip or knee replacement episodes, defined as hospitalization and 90 days of post-discharge care. We compared hospitals that stayed with the CJR program against those that withdrew. This information is important for understanding the effects of voluntary payment models.
Methods
We used Medicare 100% claims, Provider of Services and Specific Files, and the Hospital Compare dataset to describe each hospital’s characteristics in the first year of CJR, 2016. We compared hospital characteristics using chi-squared and t tests. We also estimated the effect of each hospital characteristic on the likelihood of CJR exit using a logistic regression adjusting for MSA-level characteristics (Supplemental Online Appendix A). We then calculated the marginal effect of each hospital characteristic and presented percentage point changes in the likelihood of CJR exit associated with each hospital characteristic. We considered two-tailed P values of <0.01 statistically significant.
Results
Of 280 hospitals in the 33 voluntary MSAs, 205 (73%) left the CJR program in 2018 (Table). Compared to hospitals remaining in the program, hospitals that left had a higher proportion of non-white (16.2% vs 9.3%; P = 0.005) and Medicaid-enrolled (11.8% vs 5.1%; P = 0.002) patients. Hospitals that left the program were also more likely to have a low volume of joint replacements (31.7% vs 12.0%; P < 0.001).
Table.
No. (%) or Mean (SD) | CJR Program Exit | ||||
---|---|---|---|---|---|
Hospitals That Remained (N = 75) |
Hospitals That Left (N = 205) |
P Valuea |
Adjusted Percentage Point Difference (95% CI)b |
P Value |
|
Hospital Characteristics | |||||
Patient mix, mean (SD) | |||||
% medically complex patients | 31.8 (10.9) | 35.5 (16.3) | 0.07 | 0.4 (0.0, 0.8) | 0.03 |
% non-white patients | 9.3 (8.0) | 16.2 (20.7) | 0.005 | 0.8 (0.3, 1.3) | 0.001 |
% Medicaid-enrolled patients | 5.1 (5.0) | 11.8 (18.6) | 0.002 | 1.4 (0.6, 2.2) | 0.001 |
Volume of Medicare joint replacements | |||||
Low (<23 replacements) | 9 (12.0) | 65 (31.7) | < 0.001 |
Reference |
|
Medium (23–80 replacements) | 20 (26.7) | 72 (35.1) | −11.5 (−21.9, −1.1) | 0.03 | |
High (>80 replacements) | 46 (61.3) | 68 (33.2) | −30.8 (−41.8, −19.9) | < 0.001 | |
Size of hospital | |||||
Small (<200 Beds) | 31 (41.3) | 99 (48.3) | 0.31 |
Reference |
|
Medium (200–399 Beds) | 28 (37.3) | 57 (27.8) | −7.9 (−20.0, 4.1) | 0.20 | |
Large (>400 Beds) | 16 (21.3) | 49 (23.9) | 2.5 (−9.4, 14.5) | 0.68 | |
Ownership typec | |||||
For-profit | 11 (15.1) | 31 (15.2) | 0.20 |
Reference |
|
Non-profit | 54 (74.0) | 132 (64.7) | 4.4 (−11.3, 20) | 0.59 | |
Public | 8 (11.0) | 41 (20.1) | 14.1 (−3.2, 31.4) | 0.11 | |
Operating margin %, mean (SD)d | 6.7 (14.6) | 1.2 (20.8) | 0.04 | −0.7 (−1.0, −0.3) | < 0.001 |
Major teaching hospital | 9 (12.0) | 36 (17.6) | 0.26 | 13.5 (2.2, 24.8) | 0.02 |
Safety-net hospitale | 12 (16.0) | 50 (24.5) | 0.13 | 15.4 (5.3, 25.5) | 0.003 |
Affiliation with post-acute care providers | 10 (13.3) | 39 (19.0) | 0.27 | 7.7 (−4.6, 19.9) | 0.22 |
Affiliation with ambulatory surgery centers | 5 (6.7) | 5 (2.4) | 0.09 | −21.7 (−52.4, 9) | 0.17 |
CJR Performance Measures | |||||
Hospital length of stay (in days), mean (SD) | 2.6 (0.6) | 3.2 (1.1) | < 0.001 | 15.5 (9.1, 22) | < 0.001 |
% patients discharged to an institution (vs home), mean (SD) | 30.7 (16.3) | 41.5 (22.8) | < 0.001 | 0.5 (0.3, 0.8) | < 0.001 |
% patients readmitted within 90 days of hospital discharge, mean (SD) | 8.0 (4.1) | 10.9 (8.5) | 0.005 | 1.1 (0.2, 1.9) | 0.01 |
CJR quality measures | |||||
% patients with complications, mean (SD)f | 2.6 (0.5) | 2.9 (0.6) | < 0.001 | 19 (9.4, 28.6) | < 0.001 |
Patient satisfaction score (min:1 – max: 100), mean (SD)g | 87.1 (2.5) | 86.2 (2.4) | 0.003 | −4.1 (−6.2, −2.0) | < 0.001 |
Submission of patient reported outcomesh | 31 (41.9) | 40 (19.9) | < 0.001 | −24.7 (−37.7, −11.8) | < 0.001 |
Receipt of any reconciliation payment | 54 (72.0) | 95 (46.3) | < 0.001 | −16.2 (−26.2, −6.2) | 0.002 |
Of the 308 hospitals in voluntary MSAs, we dropped 28 specialized hospitals that had no hip or knee replacement surgeries during the first performance year.
P values for hospitals that remained vs left the CJR are from chi-squared tests for categorical variables and t tests for continuous variables.
Adjusted percentage point differences were calculated as the marginal effect of the characteristic compared to the reference group for categorical characteristics, and the marginal effect associated with an increase of one unit for continuous variables.
Hospital ownership type was unavailable for 3 hospitals (1%).
Hospital operating margin was unavailable for 16 hospitals (6%).
The safety-net hospital indicator was unavailable for one hospital (< 1%).
Patient complication rates were unavailable for 30 hospitals (11%).
Patient satisfaction score was unavailable for 6 hospitals (2%).
Submission of patient reported outcomes was unavailable for 5 hospitals (2%).
Exiting hospitals performed worse under the CJR program. Their patients had longer hospital stays (3.2 vs 2.6 days; P < 0.001), more institutional post-acute care use (41.5% vs 30.7%; P < 0.001), and higher readmission rates (10.9% vs 8.0%; P < 0.005), suggesting higher CJR episode spending. Hospitals that left the program also had lower submission rates of patient reported outcomes (19.9% vs 41.9%; P < 0.001) and were less likely to have received reconciliation payments (46.3% vs 72.0%; P < 0.001). All of these associations persisted after adjusting for MSA-level factors.
Discussion
Hospitals that left the CJR program when it became voluntary served a higher percentage of non-white and Medicaid-enrolled patients, and performed poorly in the program. These hospitals may have left the program because they would be more likely to suffer financially from staying in the program. However, patients at these hospitals may be the ones who would gain the most from improvements in care coordination.
Hospitals with a higher proportion of socially vulnerable patients might be more likely to leave the program because episode spending for these patients tends to be high due to greater complication rates and more common use of institutional post-acute care.1–3 CJR cost thresholds are more restrictive for hospitals with historical costs above regional average rates because the threshold is a weighted average of each hospital’s historical and regional costs in the first three years of CJR and will become 100% based on regional costs starting in 2019.
This study has limitations. Program performance in 2017 was not examined. Medicare began covering outpatient knee replacements in 2018, which may have affected hospitals’ decisions to leave CJR. Our analysis is descriptive and did not examine the relative influence of hospital characteristics on the decision to leave the program. Nevertheless, we found that hospitals exiting CJR were those whose patients might benefit the most from improved care coordination. Our findings suggest that the wider use of voluntary value-based payment programs by Medicare is problematic and that effective strategies that result in greater hospital participation in these programs are needed.4
Supplementary Material
Acknowledgements
Dr. Ibrahim is supported in part by a K24 Mid-Career Development Award from the National Institute of Arthritis and Musculoskeletal and Skin Diseases (K24AR055259). The views expressed in this editorial are those of the authors and do not represent those of the National Institute of Arthritis and Musculoskeletal and Skin Diseases, or the National Institutes of Health.
Footnotes
The authors have no conflicts of interest.
Contributor Information
Hyunjee Kim, Center for Health Systems Effectiveness, Oregon Health & Science University.
Thomas H. A. Meath, Center for Health Systems Effectiveness, Oregon Health & Science University.
Jenny I. Grunditz, Center for Health Systems Effectiveness, Oregon Health & Science University.
Ana R. Quiñones, Department of Family Medicine, Oregon Health & Science University.
Said A. Ibrahim, Department of Healthcare Policy & Research, Weill Cornell Medicine, Cornell University.
K John McConnell, Center for Health Systems Effectiveness, Oregon Health & Science University.
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