Input Data and Descriptive Details for Practice-Level Data by Clinic Type
| FQHC or FQHC Look-Alike | Non-FQHC in High-Poverty Urban ZIP Code (≥20% of Households Below Poverty Threshold) | Non-FQHC in High-Poverty Rural ZIP Code (≥20% of Households Below Poverty Threshold) | Practice in Lower-Poverty ZIP Code | |
|---|---|---|---|---|
| Demand for therapy | ||||
| Prevalence of opioid use disorder, % (SD)38 | 1.3 (0.2) | 1.3 (0.2) | 1.6 (0.4) | 0.8 (0.3) |
| Screening tool sensitivity, % (SD)39 | 100.0 (0) | 100.0 (0) | 100.0 (0) | 100.0 (0) |
| Screening tool specificity, % (SD)39 | 73.5 (1.8) | 73.5 (1.8) | 73.5 (1.8) | 73.5 (1.8) |
| Proportion of patients accepting therapy when offered, based on interviews, % (SD) | 80.0 (2.5) | 80.0 (2.5) | 80.0 (2.5) | 80.0 (2.5) |
| No-show rate, % (SD)26 | 22.0 (5.0) | 20.0 (5.0) | 25.0 (5.0) | 20.0 (5.0) |
| Practice characteristic | ||||
| Panel size, all patients per full-time physician, No. (SD)40 | 2,040 (551) | 1,480 (316) | 1,760 (357) | 1,620 (337) |
| Payer prevalence, Medicare, % (SD)40 | 11 (3) | 27 (7) | 20 (5) | 22 (6) |
| Payer prevalence, Medicaid, % (SD)40 | 57 (14) | 20 (5) | 18 (5) | 13 (3) |
| Payer prevalence, private, % (SD)40 | 10 (3) | 48 (12) | 48 (12) | 60 (15) |
| Payer prevalence, uninsured/self-pay, % (SD)40 | 22 (6) | 5 (1) | 14 (4) | 5 (1) |
| Salary and overhead costs26,40,41 | ||||
| Nurse care manager salary per year, $ (SD) | 65,683 (8,624) | 73,101 (7,418) | 57,059 (8,624) | 81,724 (8,623) |
| Behaviorist salary per year, $ (SD) | 50,713 (9,321) | 58,266 (7,553) | 41,392 (9,321) | 67,957 (9,691) |
| Overhead rate, % (SD) | 47 (14) | 47 (14) | 47 (14) | 47 (14) |
FQHC = federally qualified health center; OBOT-B = office-based opioid treatment with buprenorphine.
Note: For insurance rates, we sampled from the probability distribution of Medicare payer prevalence. If a simulated individual was not selected to have Medicare, we sampled from the Medicaid prevalence. If the simulated individual was not selected to have Medicaid, we sampled from the private insurance prevalence. If the individual was not selected to have private insurance, they were assigned as self-pay/uninsured. Payment rates were log-transformed before sampling to adjust for skew and were determined from the Medicare Physician Fee Schedule Look-up Tool, publicly available state Medicaid fee schedules, and the Collective Health database of commercial payment rates.42-44 Appropriate billing codes for OBOT-B were determined in consultation with interviewed primary care practice representatives and informed by guidance from the Centers for Medicare & Medicaid Services, Substance Abuse and Mental Health Services Administration, and National Association of Community Health Centers.36-38