Comparison of AHR High Performers With All CPC+ Practices at Baseline, 2016
Characteristic | All CPC+ Practices (N = 2,888) | AHR High Performers (n = 14) |
---|---|---|
Practice site characteristicsa | ||
Practice size, %b | ||
1-2 PCPs | 34 | 0 |
3-5 PCPs | 38 | 29 |
≥6 PCPs | 28 | 71 |
Attributed Medicare fee-for-service beneficiaries in 2018, mean No.b | 710 | 1,683 |
Prior transformation experience, %c | 61 | 100 |
Hospital/system owned (vs independent), % | 55 | 57 |
Enhanced CPC+ (Medicare and payer partner) payments per NPI in 2018, median (SE), $ | 42,964 (41,043) | 47,559 (43,865) |
Beneficiary characteristicsd | ||
Age group, y, % | ||
≤64 | 16 | 17 |
65-74 | 47 | 46 |
75-84 | 26 | 26 |
≥85 | 12 | 11 |
Female, % | 59 | 58 |
HCC score, mean (SE)e | 1.08 (0.17) | 1.14 (0.08) |
Dually eligible for Medicare and Medicaid, % | 15 | 16 |
Original reason for Medicare enrollment, % | ||
Age | 78 | 76 |
Disability | 22 | 23 |
End-stage renal disease | 1 | 1 |
Race/ethnicity, % | ||
Black | 7 | 8 |
White | 86 | 87 |
Hispanic | 1 | 1 |
None of above | 6 | 4 |
Market characteristics | ||
Household income in practice county, median (SE), $ | 54,208 (15,054) | 53,164 (16,222) |
Location, % | ||
Rural | 9 | 21 |
Suburban | 15 | 7 |
Urban | 76 | 71 |
Region, % | ||
Northeast | 29 | 21 |
Midwest | 35 | 29 |
South | 18 | 14 |
West | 18 | 36 |
Number of acute care hospital beds per 1,000 population in practice county, % | ||
1st quartile | 26 | 21 |
2nd quartile | 26 | 14 |
3rd quartile | 26 | 59 |
4th quartile | 22 | 14 |
AHR = acute hospitalization rate; CPC+ = Comprehensive Primary Care Plus; HCC = hierarchical condition category; NPI = national provider identifier; PCP = primary care practitioner.
Sources: See Table 1 footnotes.
Note: Percentages do not always add to 100 because of rounding.
↵a AHR high performers did not differ from CPC+ practices overall regarding Medicare Shared Savings Program status or CPC+ model track.
↵b A change in AHR in smaller practices could be due to chance from small sample sizes, rather than real change. Very small practices therefore tended not to be identified as AHR high performers because the Bayesian model could not achieve a high level of confidence of a real change based on a small number of attributed Medicare fee-for-service beneficiaries.
↵c See Table 1 footnotes for definition.
↵d Based on Medicare fee-for-service beneficiaries attributed to practices in 2016.
↵e Based on diagnoses in 2015. Score is normalized to a value of 1. Patients more healthy than average will have a score less than 1; those less healthy than average will have a score greater than 1.