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Appendix Table 4: 2011 select opioid use measures by Dartmouth Atlas of Healthcare Hospital Referral Regions (HRR) for Medicare beneficiaries under age 65, continuously enrolled in fee-for-service Parts A, B and D for the full year. Rates are adjusted for age, race/ethnicity, Part D low income subsidy status and Rx HCC score (based on 2011 claims).
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user1 AL- BIRMINGHAM 8413 0.56 0.35 0.12 14.0 39.8 29.1 62.5 2.47 12.82 AL- DOTHAN 1740 0.53 0.30 0.13 8.5 28.4 27.0 48.5 2.73 12.75 AL- HUNTSVILLE 1974 0.59 0.37 0.14 14.5 40.5 32.3 64.1 2.77 13.66 AL- MOBILE 2380 0.55 0.35 0.13 15.9 37.3 29.8 58.6 2.63 13.27 AL- MONTGOMERY 1230 0.54 0.31 0.11 9.3 30.2 26.7 49.8 2.42 12.69 AL- TUSCALOOSA 1262 0.55 0.30 0.09 6.9 35.0 24.1 62.7 3.10 12.8
10 AK- ANCHORAGE 1318 0.53 0.27 0.33 6.1 46.0 35.3 91.0 3.64 13.711 AZ- MESA 867 0.52 0.27 0.42 8.5 52.4 48.7 102.6 3.82 13.812 AZ- PHOENIX 3770 0.49 0.26 0.38 8.0 49.5 41.7 95.2 3.66 13.614 AZ- SUN CITY 223 0.50 0.27 0.39 11.1 60.6 52.3 119.9 3.95 14.215 AZ- TUCSON 1060 0.45 0.25 0.40 9.6 66.9 45.5 129.0 3.15 13.716 AR- FORT SMITH 1757 0.60 0.35 0.17 12.8 47.2 35.2 80.9 2.69 12.718 AR- JONESBORO 1431 0.57 0.34 0.11 9.0 19.9 23.2 33.7 2.55 12.519 AR- LITTLE ROCK 6600 0.54 0.29 0.15 7.3 30.4 29.0 56.1 2.87 12.721 AR- SPRINGDALE 1384 0.54 0.31 0.25 12.0 49.1 41.4 86.2 2.63 13.422 AR- TEXARKANA 1125 0.55 0.33 0.05 10.0 24.7 24.9 40.1 2.90 12.523 CA- ORANGE CO. 1575 0.33 0.16 0.12 6.3 49.2 40.8 100.6 2.82 13.525 CA- BAKERSFIELD 2556 0.51 0.28 0.08 8.9 38.0 31.1 66.2 2.63 12.631 CA- CHICO 1681 0.61 0.39 0.11 17.4 63.0 39.5 100.4 2.56 12.8
33CA- CONTRA COSTA CO. 1122 0.49 0.27 0.12 8.1 58.7 40.1 110.0 3.15 13.6
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user43 CA- FRESNO 2271 0.46 0.26 0.09 8.8 46.4 30.2 84.5 2.67 12.756 CA- LOS ANGELES 9042 0.36 0.19 0.12 7.1 47.9 31.6 94.4 2.68 12.858 CA- MODESTO 2378 0.57 0.33 0.09 11.7 53.3 39.5 92.8 2.76 12.862 CA- NAPA 1067 0.49 0.30 0.17 13.6 57.4 37.5 92.4 2.79 13.565 CA- ALAMEDA CO. 1735 0.42 0.22 0.11 7.2 42.5 29.3 83.4 3.06 13.2
69CA- PALM SPR/RANCHO MIR. 678 0.46 0.25 0.17 10.5 46.6 32.7 84.6 2.79 12.7
73 CA- REDDING 1991 0.58 0.36 0.11 14.7 56.4 38.5 91.4 2.62 12.877 CA- SACRAMENTO 5106 0.49 0.29 0.10 12.3 52.4 38.4 91.6 2.87 12.878 CA- SALINAS 637 0.46 0.25 0.10 8.1 53.8 35.6 105.5 2.70 13.379 CA- SAN BERNARDINO 3334 0.42 0.24 0.11 10.2 47.5 36.6 84.7 2.71 12.880 CA- SAN DIEGO 3793 0.39 0.18 0.20 5.9 47.8 38.3 101.7 2.87 13.481 CA- SAN FRANCISCO 2103 0.41 0.21 0.20 7.8 59.5 42.2 118.4 2.98 13.582 CA- SAN JOSE 1374 0.36 0.17 0.13 5.0 35.0 24.2 74.9 3.48 12.783 CA- SAN LUIS OBISPO 598 0.51 0.30 0.17 12.7 54.9 42.4 93.7 3.65 12.985 CA- SAN MATEO CO. 324 0.39 0.20 0.18 8.0 55.1 36.7 107.2 2.95 13.786 CA- SANTA BARBARA 843 0.41 0.23 0.15 11.5 56.4 41.8 107.1 3.01 13.587 CA- SANTA CRUZ 554 0.45 0.24 0.14 9.3 51.0 38.4 95.0 2.55 13.589 CA- SANTA ROSA 852 0.48 0.28 0.20 12.9 63.6 49.8 111.4 2.69 13.891 CA- STOCKTON 1279 0.50 0.28 0.06 9.0 40.4 30.0 69.5 2.64 12.796 CA- VENTURA 1106 0.43 0.23 0.14 6.6 54.6 33.3 108.1 2.72 13.5
101 CO- BOULDER 312 0.40 0.20 0.38 6.0 64.9 60.6 132.5 2.73 15.6
102CO- COLORADO SPRINGS 1395 0.50 0.27 0.37 8.7 44.7 35.7 81.9 3.37 12.8
103 CO- DENVER 2767 0.44 0.24 0.39 7.6 48.1 38.9 91.5 3.32 13.7104 CO- FORT COLLINS 516 0.45 0.23 0.31 6.4 39.2 36.9 77.9 3.31 13.7
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user105 CO- GRAND JUNCTION 464 0.49 0.27 0.34 6.0 35.9 30.2 66.5 3.43 13.8106 CO- GREELEY 639 0.49 0.25 0.32 6.4 55.6 43.2 108.7 3.26 13.9107 CO- PUEBLO 725 0.55 0.34 0.42 17.4 81.8 51.4 135.9 3.30 13.7109 CT- BRIDGEPORT 727 0.36 0.16 0.51 5.0 51.4 40.8 120.3 3.63 13.9110 CT- HARTFORD 2812 0.36 0.16 0.45 4.6 41.8 34.0 95.4 3.35 13.8111 CT- NEW HAVEN 2457 0.37 0.17 0.49 5.2 54.6 49.8 121.2 3.44 13.8112 DE- WILMINGTON 2025 0.46 0.27 0.58 12.6 62.0 55.6 110.3 3.39 13.6113 DC- WASHINGTON 3593 0.38 0.18 0.46 5.5 45.0 42.0 97.2 3.88 13.7115 FL- BRADENTON 439 0.49 0.31 0.30 31.2 85.9 70.1 137.7 2.45 13.4116 FL- CLEARWATER 783 0.46 0.27 0.36 18.5 83.0 63.5 143.1 2.29 13.5118 FL- FORT LAUDERDALE 2792 0.40 0.22 0.46 13.2 84.2 73.2 158.6 2.86 14.7119 FL- FORT MYERS 1796 0.46 0.26 0.42 14.7 83.1 72.2 148.6 2.95 14.3120 FL- GAINESVILLE 1857 0.50 0.29 0.33 16.4 61.0 48.3 104.6 2.74 12.8122 FL- HUDSON 1069 0.52 0.35 0.40 36.0 102.5 78.5 154.6 2.47 13.6123 FL- JACKSONVILLE 4101 0.54 0.33 0.23 17.0 48.8 38.0 79.2 2.83 12.9124 FL- LAKELAND 574 0.43 0.20 0.30 6.0 34.6 33.2 72.0 2.47 12.2127 FL- MIAMI 2390 0.29 0.14 0.54 7.0 74.6 77.1 162.2 2.91 13.5129 FL- OCALA 1385 0.50 0.30 0.31 22.2 62.5 51.8 103.2 2.57 12.8130 FL- ORLANDO 5674 0.45 0.25 0.36 12.0 63.7 52.5 115.9 2.66 13.2131 FL- ORMOND BEACH 861 0.51 0.32 0.26 24.1 59.8 44.3 94.9 2.75 13.5133 FL- PANAMA CITY 820 0.54 0.34 0.15 14.0 31.6 27.2 51.0 2.80 12.7134 FL- PENSACOLA 2503 0.59 0.38 0.16 16.4 37.4 29.0 56.3 2.57 12.8137 FL- SARASOTA 721 0.45 0.27 0.37 23.9 96.5 84.1 168.0 2.45 14.7139 FL- ST PETERSBURG 973 0.39 0.21 0.37 11.4 71.3 48.1 135.5 2.39 13.3140 FL- TALLAHASSEE 2184 0.48 0.25 0.16 7.1 31.2 27.3 57.3 2.82 12.8141 FL- TAMPA 1847 0.45 0.26 0.38 14.3 77.8 66.5 137.4 2.67 13.6
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user142 GA- ALBANY 682 0.49 0.22 0.19 5.2 28.2 26.6 60.4 3.01 12.5144 GA- ATLANTA 10216 0.49 0.27 0.24 8.0 40.8 36.6 74.6 3.26 13.4145 GA- AUGUSTA 1555 0.46 0.25 0.30 7.8 32.4 31.5 57.6 3.00 12.8146 GA- COLUMBUS 828 0.50 0.27 0.15 7.5 32.5 29.8 58.9 2.73 12.7147 GA- MACON 2517 0.53 0.31 0.16 10.4 35.7 30.2 60.1 2.53 12.7148 GA- ROME 1507 0.63 0.42 0.19 21.3 41.7 37.1 61.5 3.23 12.8149 GA- SAVANNAH 1812 0.50 0.28 0.21 8.8 38.0 30.6 66.5 2.93 12.9150 HI- HONOLULU 899 0.38 0.19 0.28 5.8 57.4 41.5 122.0 2.73 13.8151 ID- BOISE 1542 0.51 0.27 0.16 8.6 43.2 40.4 80.6 3.11 13.5152 ID- IDAHO FALLS 454 0.48 0.25 0.15 5.9 36.2 29.4 72.3 3.66 14.2154 IL- AURORA 433 0.42 0.21 0.05 5.4 25.7 28.1 50.9 2.87 12.6155 IL- BLUE ISLAND 1329 0.32 0.15 0.05 5.1 33.0 30.7 68.1 2.76 13.3156 IL- CHICAGO 4127 0.32 0.14 0.03 5.0 24.0 22.0 51.3 2.67 12.5158 IL- ELGIN 762 0.38 0.19 0.07 5.7 34.8 31.5 71.4 2.84 13.7161 IL- EVANSTON 696 0.26 0.10 0.05 4.0 23.0 28.4 57.3 2.88 13.4163 IL- HINSDALE 393 0.37 0.16 0.06 4.7 29.9 25.2 69.1 3.09 12.6164 IL- JOLIET 1137 0.40 0.21 0.08 7.1 32.9 32.4 61.5 2.76 12.8166 IL- MELROSE PARK 1427 0.34 0.16 0.06 4.9 30.7 26.7 65.1 2.99 12.8170 IL- PEORIA 1454 0.42 0.19 0.06 4.4 22.8 22.1 49.9 2.76 12.6171 IL- ROCKFORD 1845 0.44 0.23 0.07 6.7 29.5 28.6 56.7 2.89 12.8172 IL- SPRINGFIELD 2568 0.45 0.21 0.07 4.6 24.8 23.3 51.7 2.99 12.7173 IL- URBANA 1184 0.45 0.23 0.09 5.9 22.9 24.0 45.5 2.65 12.6175 IL- BLOOMINGTON 333 0.45 0.19 0.06 3.6 19.1 22.5 44.2 3.11 12.8179 IN- EVANSVILLE 2510 0.53 0.33 0.14 16.3 31.3 30.0 49.5 2.47 12.7180 IN- FORT WAYNE 1867 0.45 0.23 0.18 6.8 42.1 31.9 81.2 3.28 13.0181 IN- GARY 1363 0.46 0.27 0.12 11.4 36.6 32.2 61.5 2.67 12.8
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user183 IN- INDIANAPOLIS 7838 0.53 0.32 0.17 12.9 42.0 33.6 71.3 2.89 12.8184 IN- LAFAYETTE 553 0.53 0.29 0.11 6.3 30.7 29.8 57.8 2.74 12.7185 IN- MUNCIE 637 0.55 0.35 0.14 15.6 47.8 34.8 76.0 3.04 12.8186 IN- MUNSTER 604 0.41 0.23 0.06 7.5 26.6 27.2 45.6 2.69 12.7187 IN- SOUTH BEND 1573 0.48 0.25 0.18 6.8 38.2 33.6 74.0 2.82 12.8188 IN- TERRE HAUTE 806 0.55 0.32 0.10 14.3 35.5 31.4 60.8 2.52 12.8190 IA- CEDAR RAPIDS 578 0.39 0.16 0.18 1.5 19.7 22.6 51.0 3.23 12.6191 IA- DAVENPORT 1111 0.42 0.18 0.14 3.9 26.3 21.5 62.6 3.18 12.7192 IA- DES MOINES 2200 0.43 0.22 0.18 6.6 42.6 38.5 83.8 2.75 12.9193 IA- DUBUQUE 270 0.40 0.16 0.17 1.6 23.8 21.1 61.7 2.97 11.7194 IA- IOWA CITY 707 0.39 0.16 0.16 3.2 18.2 21.6 44.8 2.99 12.7195 IA- MASON CITY 312 0.37 0.14 0.15 1.6 29.6 30.2 79.2 2.61 12.8196 IA- SIOUX CITY 450 0.36 0.15 0.11 2.7 25.3 26.4 63.8 2.89 12.7197 IA- WATERLOO 535 0.42 0.18 0.16 3.9 14.9 19.1 34.8 3.09 12.6200 KS- TOPEKA 1129 0.43 0.20 0.20 4.7 34.1 30.7 73.1 3.11 13.6201 KS- WICHITA 3434 0.49 0.26 0.20 8.7 40.7 36.8 74.4 2.68 13.5203 KY- COVINGTON 1232 0.61 0.39 0.41 18.0 43.9 39.6 67.8 2.92 12.7204 KY- LEXINGTON 9753 0.57 0.36 0.22 15.8 30.8 27.6 47.2 2.65 12.7205 KY- LOUISVILLE 5764 0.55 0.34 0.17 14.7 35.6 30.6 57.5 2.57 12.7207 KY- OWENSBORO 686 0.52 0.27 0.16 6.4 20.1 28.8 39.4 2.52 11.8208 KY- PADUCAH 2019 0.59 0.40 0.15 21.6 31.8 32.9 47.1 2.26 12.4209 LA- ALEXANDRIA 1434 0.52 0.30 0.15 10.7 38.5 31.6 65.4 2.52 12.8210 LA- BATON ROUGE 2178 0.49 0.28 0.14 11.1 42.4 34.6 74.1 2.69 13.4212 LA- HOUMA 1024 0.52 0.31 0.12 11.8 30.0 28.5 49.4 2.60 13.8213 LA- LAFAYETTE 2477 0.51 0.30 0.09 12.6 39.8 33.6 67.4 2.23 12.8214 LA- LAKE CHARLES 895 0.54 0.28 0.19 7.1 32.0 36.4 60.4 2.60 12.9
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user216 LA- METAIRIE 1052 0.52 0.27 0.19 7.6 36.9 28.1 70.2 2.91 13.4217 LA- MONROE 892 0.49 0.24 0.08 5.7 21.2 22.8 42.2 2.85 12.7218 LA- NEW ORLEANS 1658 0.47 0.23 0.22 6.4 30.1 28.0 56.7 2.88 12.7219 LA- SHREVEPORT 1994 0.48 0.25 0.11 7.0 32.4 29.5 60.7 2.72 12.7220 LA- SLIDELL 635 0.59 0.35 0.20 12.6 40.1 33.6 66.8 2.86 13.3221 ME- BANGOR 2435 0.47 0.23 0.31 4.6 37.1 34.1 78.2 3.04 12.8222 ME- PORTLAND 4671 0.46 0.23 0.35 4.5 50.2 43.1 102.2 3.30 13.0223 MD- BALTIMORE 4789 0.41 0.20 0.58 6.4 55.5 54.1 115.8 4.19 14.3225 MD- SALISBURY 1369 0.49 0.28 0.54 17.1 83.2 81.8 145.0 2.89 13.4226 MD- TAKOMA PARK 624 0.32 0.15 0.49 5.3 43.7 52.2 91.9 3.94 13.9227 MA- BOSTON 12569 0.39 0.17 0.51 4.3 32.1 28.0 74.6 3.65 12.8230 MA- SPRINGFIELD 3481 0.45 0.19 0.59 4.8 37.9 29.9 86.9 3.74 13.5231 MA- WORCESTER 2592 0.42 0.18 0.49 4.6 35.1 31.8 78.1 3.20 12.8232 MI- ANN ARBOR 3063 0.48 0.28 0.12 11.8 39.1 29.9 68.8 3.09 12.8233 MI- DEARBORN 1490 0.54 0.35 0.08 16.5 39.6 28.1 61.7 2.85 12.8234 MI- DETROIT 6372 0.57 0.39 0.10 20.7 62.9 36.3 95.6 3.21 13.5235 MI- FLINT 1909 0.55 0.33 0.05 12.0 32.3 26.9 55.4 2.85 12.8236 MI- GRAND RAPIDS 2878 0.49 0.26 0.07 7.6 37.3 30.4 69.0 3.44 12.9238 MI- KALAMAZOO 2263 0.51 0.27 0.10 7.6 37.5 30.6 72.0 3.15 12.8239 MI- LANSING 1953 0.50 0.29 0.07 11.5 36.6 30.7 63.9 3.09 12.8240 MI- MARQUETTE 663 0.46 0.25 0.11 6.7 26.2 23.5 47.4 2.57 12.7242 MI- MUSKEGON 1235 0.56 0.35 0.04 17.0 57.1 35.6 91.1 2.75 13.3243 MI- PETOSKEY 614 0.51 0.29 0.12 11.8 51.1 36.0 88.7 2.59 12.7244 MI- PONTIAC 995 0.50 0.31 0.11 18.7 60.7 38.9 101.0 2.83 13.8245 MI- ROYAL OAK 1090 0.44 0.25 0.11 11.9 48.7 31.4 86.5 2.91 12.8246 MI- SAGINAW 2701 0.51 0.30 0.08 12.9 35.7 29.8 61.4 2.62 12.8
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user248 MI- ST JOSEPH 616 0.56 0.33 0.06 12.9 42.5 29.1 73.3 2.88 12.9249 MI- TRAVERSE CITY 897 0.53 0.29 0.10 14.3 64.1 44.8 115.9 2.44 12.9250 MN- DULUTH 1021 0.42 0.19 0.16 4.0 29.5 25.9 64.4 3.15 12.8251 MN- MINNEAPOLIS 5272 0.38 0.16 0.32 3.7 25.5 23.8 61.5 3.56 13.5253 MN- ROCHESTER 584 0.31 0.11 0.32 1.7 18.5 19.2 53.6 3.45 11.9254 MN- ST CLOUD 423 0.36 0.13 0.25 0.8 16.6 21.6 47.1 3.59 12.5256 MN- ST PAUL 1867 0.39 0.15 0.37 3.9 26.6 24.4 66.3 4.00 13.7257 MS- GULFPORT 810 0.60 0.37 0.18 17.8 45.0 36.3 73.7 3.00 13.3258 MS- HATTIESBURG 1602 0.58 0.36 0.12 14.7 29.4 30.1 46.2 2.69 12.7259 MS- JACKSON 4393 0.50 0.27 0.10 7.1 24.8 25.8 44.3 2.89 12.5260 MS- MERIDIAN 1156 0.56 0.33 0.06 11.1 29.2 32.5 46.0 2.54 12.5261 MS- OXFORD 875 0.53 0.25 0.12 5.3 18.5 19.8 34.8 2.82 12.5262 MS- TUPELO 2439 0.58 0.32 0.11 7.1 21.3 24.0 36.3 3.01 12.6263 MO- CAPE GIRARDEAU 1472 0.52 0.31 0.15 12.8 25.8 31.5 42.7 2.55 12.8264 MO- COLUMBIA 2409 0.47 0.23 0.24 5.4 28.0 27.5 58.1 2.65 12.7267 MO- JOPLIN 1677 0.54 0.29 0.16 7.3 32.1 28.5 60.8 2.68 12.8268 MO- KANSAS CITY 5417 0.47 0.25 0.24 6.9 41.5 35.7 79.9 3.08 13.5270 MO- SPRINGFIELD 3312 0.53 0.30 0.20 10.3 40.7 35.0 73.4 2.69 12.8273 MO- ST LOUIS 9409 0.46 0.26 0.23 8.4 33.8 30.5 61.2 2.67 12.7274 MT- BILLINGS 1039 0.45 0.22 0.28 5.0 38.2 34.2 77.9 3.23 12.9275 MT- GREAT FALLS 318 0.47 0.25 0.21 7.0 37.4 32.6 70.3 3.28 13.8276 MT- MISSOULA 1087 0.50 0.29 0.21 12.8 44.5 36.1 77.2 2.89 13.0277 NE- LINCOLN 1086 0.38 0.17 0.18 3.6 25.8 25.7 58.3 2.78 12.9278 NE- OMAHA 2467 0.41 0.18 0.21 4.1 28.4 27.9 65.9 3.19 13.5279 NV- LAS VEGAS 2889 0.54 0.36 0.31 31.7 80.3 62.8 124.5 3.21 13.7280 NV- RENO 1551 0.55 0.33 0.29 14.0 50.3 41.9 83.8 3.13 13.7
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user281 NH- LEBANON 1345 0.41 0.19 0.38 3.6 38.9 34.1 82.7 3.14 13.4282 NH- MANCHESTER 2264 0.46 0.21 0.45 3.0 40.3 32.9 88.0 3.88 13.9283 NJ- CAMDEN 5295 0.42 0.21 0.55 8.5 57.6 52.7 113.9 3.31 14.4284 NJ- HACKENSACK 1054 0.26 0.10 0.50 4.8 44.3 46.1 109.2 2.92 13.6285 NJ- MORRISTOWN 939 0.34 0.15 0.49 5.0 57.3 46.7 129.9 3.01 14.5288 NJ- NEW BRUNSWICK 942 0.33 0.16 0.56 6.0 59.4 49.8 123.5 3.53 14.5289 NJ- NEWARK 1638 0.30 0.15 0.60 5.8 50.8 47.3 112.8 2.74 13.6291 NJ- PATERSON 455 0.31 0.14 0.56 6.0 49.5 52.9 112.4 2.46 13.6292 NJ- RIDGEWOOD 276 0.28 0.13 0.46 7.1 69.4 64.8 151.7 2.86 14.5293 NM- ALBUQUERQUE 3735 0.49 0.27 0.36 8.4 43.5 37.9 79.8 3.08 13.4295 NY- ALBANY 3977 0.38 0.16 0.28 4.3 34.2 36.7 80.5 3.40 12.8296 NY- BINGHAMTON 992 0.39 0.18 0.30 5.3 36.2 35.8 78.7 3.12 12.7297 NY- BRONX 1208 0.28 0.12 0.48 5.4 49.9 52.5 122.0 3.10 12.6299 NY- BUFFALO 2914 0.39 0.20 0.12 10.0 36.8 38.9 70.7 2.91 12.4300 NY- ELMIRA 892 0.37 0.16 0.21 4.7 30.2 34.8 67.7 3.17 11.8
301NY- EAST LONG ISLAND 3722 0.27 0.11 0.43 5.2 46.1 46.6 109.8 3.20 12.8
303 NY- MANHATTAN 3623 0.25 0.10 0.43 4.9 46.6 52.1 123.7 2.91 12.6304 NY- ROCHESTER 2374 0.35 0.15 0.28 5.1 36.1 37.0 82.5 3.10 12.5307 NY- SYRACUSE 2151 0.36 0.15 0.23 4.5 28.0 34.3 66.1 3.22 12.5308 NY- WHITE PLAINS 1058 0.31 0.13 0.47 5.6 42.0 46.5 96.6 3.06 12.7309 NC- ASHEVILLE 2667 0.55 0.30 0.38 8.7 43.6 35.1 79.4 3.03 12.8311 NC- CHARLOTTE 6852 0.54 0.30 0.26 8.5 36.9 33.2 66.0 3.65 12.7312 NC- DURHAM 4699 0.53 0.30 0.41 9.5 44.5 37.7 78.7 3.34 12.8313 NC- GREENSBORO 1481 0.53 0.29 0.33 7.5 38.7 35.1 70.4 3.33 12.8314 NC- GREENVILLE 3305 0.50 0.25 0.40 6.9 37.8 35.4 73.8 3.02 12.7
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user315 NC- HICKORY 1191 0.57 0.35 0.36 15.1 39.2 36.3 62.2 3.21 12.8318 NC- RALEIGH 5254 0.49 0.26 0.39 7.2 36.1 32.8 68.5 3.41 12.7319 NC- WILMINGTON 1899 0.58 0.33 0.42 13.1 45.4 43.7 78.4 2.97 12.8320 NC- WINSTON-SALEM 3344 0.52 0.30 0.29 10.5 48.1 36.4 83.6 3.39 12.8321 ND- BISMARCK 329 0.35 0.15 0.20 4.0 28.8 40.7 64.4 3.09 13.0
322ND- FARGO MOORHEAD -MN 900 0.36 0.15 0.20 3.5 22.4 22.5 52.3 3.41 12.8
323 ND- GRAND FORKS 321 0.38 0.16 0.25 4.1 22.8 29.6 52.8 3.02 12.6324 ND- MINOT 169 0.33 0.10 0.30 1.0 8.6 21.4 31.0 3.26 12.8325 OH- AKRON 1409 0.43 0.23 0.39 9.0 41.0 32.6 75.5 3.11 13.0326 OH- CANTON 1478 0.47 0.23 0.27 4.9 22.2 23.5 44.9 2.76 12.7327 OH- CINCINNATI 3905 0.51 0.29 0.36 8.7 42.5 31.0 74.6 3.00 13.4328 OH- CLEVELAND 4031 0.40 0.19 0.43 5.0 30.9 28.6 64.8 3.03 12.8329 OH- COLUMBUS 8067 0.48 0.25 0.34 7.5 32.0 28.2 60.5 2.86 12.7330 OH- DAYTON 2564 0.48 0.25 0.22 5.6 31.1 24.4 60.5 2.99 12.8331 OH- ELYRIA 642 0.48 0.24 0.37 5.1 31.9 28.3 65.1 2.94 12.7332 OH- KETTERING 828 0.54 0.31 0.30 12.8 40.4 29.9 69.4 3.19 13.4334 OH- TOLEDO 2884 0.48 0.24 0.36 6.0 31.7 27.1 61.7 3.48 12.9335 OH- YOUNGSTOWN 1692 0.45 0.24 0.28 8.6 42.2 33.4 80.2 2.64 12.8336 OK- LAWTON 674 0.59 0.33 0.12 11.1 34.0 35.4 60.2 2.62 12.8339 OK- OKLAHOMA CITY 5368 0.56 0.33 0.17 13.4 43.1 35.7 73.4 2.78 12.8340 OK- TULSA 4416 0.57 0.36 0.15 18.4 49.4 37.5 79.0 2.80 13.0341 OR- BEND 408 0.57 0.31 0.30 7.0 34.3 26.6 63.0 3.09 12.6342 OR- EUGENE 1575 0.55 0.33 0.29 11.4 52.0 37.1 87.4 2.91 12.9343 OR- MEDFORD 1529 0.53 0.32 0.23 17.1 57.4 43.7 93.1 2.96 13.5344 OR- PORTLAND 3973 0.51 0.28 0.33 7.9 47.2 37.8 85.1 3.37 13.8
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user345 OR- SALEM 446 0.53 0.28 0.32 6.3 56.4 40.1 106.9 3.16 13.4346 PA- ALLENTOWN 2376 0.42 0.20 0.42 5.2 43.1 34.6 91.1 3.39 13.6347 PA- ALTOONA 878 0.44 0.22 0.33 6.0 33.4 31.5 69.0 2.92 12.8350 PA- DANVILLE 1443 0.43 0.20 0.35 4.9 28.8 29.1 62.3 2.84 12.8351 PA- ERIE 2240 0.44 0.21 0.20 5.8 36.5 33.2 74.9 2.82 12.8352 PA- HARRISBURG 1618 0.44 0.20 0.38 5.5 43.3 34.4 90.5 3.02 13.4354 PA- JOHNSTOWN 523 0.40 0.20 0.39 8.6 53.0 41.9 104.3 2.29 12.7355 PA- LANCASTER 920 0.44 0.24 0.40 7.3 53.7 37.6 101.2 3.24 13.5356 PA- PHILADELPHIA 6132 0.37 0.19 0.55 7.6 52.4 41.0 104.7 3.03 13.5357 PA- PITTSBURGH 4233 0.45 0.23 0.31 6.0 36.4 29.9 71.4 3.02 12.8358 PA- READING 1112 0.42 0.21 0.40 6.7 39.4 36.2 78.1 2.89 12.9359 PA- SAYRE 515 0.38 0.17 0.31 4.0 40.4 34.2 88.5 2.62 12.8360 PA- SCRANTON 1125 0.43 0.23 0.31 9.3 40.6 32.5 73.3 2.53 12.8362 PA- WILKES-BARRE 731 0.43 0.24 0.30 9.9 35.2 29.4 61.7 2.41 12.8363 PA- YORK 564 0.43 0.22 0.41 6.5 46.2 34.3 90.7 2.79 12.7364 RI- PROVIDENCE 3027 0.42 0.19 0.34 4.6 32.8 25.2 70.9 3.51 13.7365 SC- CHARLESTON 2446 0.49 0.27 0.29 8.5 43.1 36.2 79.4 3.14 12.7366 SC- COLUMBIA 2926 0.46 0.23 0.25 6.3 31.5 29.5 61.0 3.06 12.5367 SC- FLORENCE 1870 0.53 0.31 0.35 10.9 35.9 36.5 59.9 2.80 12.5368 SC- GREENVILLE 2727 0.53 0.32 0.19 14.3 37.0 36.3 62.2 2.87 12.6369 SC- SPARTANBURG 1488 0.57 0.37 0.18 18.8 37.3 33.0 57.2 2.59 12.5370 SD- RAPID CITY 411 0.41 0.19 0.24 4.5 25.9 22.0 54.9 3.89 12.8371 SD- SIOUX FALLS 1169 0.33 0.14 0.15 3.0 20.4 23.5 50.5 2.93 12.8373 TN- CHATTANOOGA 2797 0.59 0.39 0.23 19.6 44.3 35.3 67.6 2.97 12.7374 TN- JACKSON 1910 0.61 0.38 0.14 12.7 32.6 26.6 53.0 2.76 12.7375 TN- JOHNSON CITY 1046 0.57 0.36 0.23 13.4 29.8 25.2 48.2 2.98 12.7
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user376 TN- KINGSPORT 3214 0.60 0.39 0.23 15.1 34.9 27.2 53.5 2.86 12.6377 TN- KNOXVILLE 5925 0.63 0.42 0.30 21.2 68.8 40.4 104.0 3.43 13.3379 TN- MEMPHIS 6017 0.52 0.28 0.15 6.7 26.8 25.3 47.8 2.92 12.6380 TN- NASHVILLE 8728 0.59 0.39 0.23 19.5 47.4 35.9 72.8 2.97 12.8382 TX- ABILENE 770 0.45 0.24 0.03 9.3 33.0 35.2 62.1 2.25 12.7383 TX- AMARILLO 809 0.46 0.26 0.05 11.0 30.3 31.7 51.9 2.52 12.7385 TX- AUSTIN 2206 0.45 0.23 0.06 6.4 36.2 38.8 71.1 3.36 13.4386 TX- BEAUMONT 1239 0.49 0.27 0.03 10.0 30.4 30.9 53.9 2.33 12.5388 TX- BRYAN 411 0.49 0.22 0.02 5.2 21.8 28.9 44.2 3.20 13.5390 TX- CORPUS CHRISTI 954 0.46 0.26 0.02 12.1 33.7 33.6 56.2 2.49 12.6391 TX- DALLAS 7299 0.49 0.27 0.04 9.4 34.8 34.2 63.6 2.84 12.7393 TX- EL PASO 1294 0.40 0.19 0.17 6.9 46.8 41.1 96.3 2.61 12.6394 TX- FORT WORTH 3001 0.50 0.29 0.04 10.9 37.0 33.9 65.4 2.88 12.8396 TX- HARLINGEN 692 0.33 0.14 0.03 5.7 33.2 34.3 71.5 2.13 11.6397 TX- HOUSTON 7126 0.45 0.25 0.04 9.1 34.5 33.3 62.4 2.72 12.7399 TX- LONGVIEW 580 0.51 0.31 0.02 12.4 25.3 28.4 41.3 2.62 12.5400 TX- LUBBOCK 1538 0.47 0.26 0.08 8.7 30.0 32.7 53.1 2.50 12.6402 TX- MCALLEN 810 0.34 0.13 0.02 5.6 26.9 28.6 53.2 2.35 10.6406 TX- ODESSA 642 0.47 0.26 0.04 11.5 33.4 39.3 57.2 2.29 12.8411 TX- SAN ANGELO 387 0.49 0.29 0.03 12.5 46.9 42.5 80.9 2.21 12.6412 TX- SAN ANTONIO 3531 0.41 0.22 0.03 8.0 37.1 33.2 69.1 2.58 12.6413 TX- TEMPLE 852 0.51 0.28 0.04 10.0 33.5 34.8 57.4 3.14 12.8416 TX- TYLER 1564 0.52 0.29 0.02 9.4 28.7 29.0 51.0 2.42 12.6417 TX- VICTORIA 415 0.50 0.28 0.03 10.8 37.8 40.4 66.0 2.45 13.0418 TX- WACO 950 0.50 0.27 0.02 8.1 30.8 29.0 54.9 2.99 12.7420 TX- WICHITA FALLS 757 0.59 0.39 0.04 24.1 45.3 38.5 68.3 2.08 12.5
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user421 UT- OGDEN 393 0.49 0.30 0.33 15.6 58.5 45.6 93.8 2.71 13.7422 UT- PROVO 386 0.39 0.21 0.31 9.3 43.5 37.8 81.1 3.33 13.7423 UT- SALT LAKE CITY 2217 0.49 0.27 0.28 10.2 52.5 44.4 96.4 3.04 13.9424 VT- BURLINGTON 2068 0.42 0.19 0.31 3.7 35.5 39.2 79.9 3.01 12.9426 VA- ARLINGTON 1010 0.35 0.16 0.43 5.0 51.3 45.0 112.2 3.76 13.9427 VA- CHARLOTTESVILLE 1210 0.43 0.21 0.36 5.3 41.5 38.8 86.0 3.30 12.9428 VA- LYNCHBURG 823 0.45 0.20 0.27 4.7 31.4 27.9 68.6 3.77 13.5429 VA- NEWPORT NEWS 879 0.46 0.22 0.30 5.1 38.4 27.7 84.6 3.71 13.8430 VA- NORFOLK 2010 0.43 0.19 0.30 5.0 35.8 25.3 78.7 3.53 13.4431 VA- RICHMOND 3214 0.46 0.21 0.38 5.2 37.3 33.4 80.2 3.78 13.5432 VA- ROANOKE 2951 0.52 0.30 0.19 10.5 31.5 27.9 54.7 2.80 12.7435 VA- WINCHESTER 983 0.47 0.25 0.33 10.4 58.2 44.3 106.9 3.09 13.7437 WA- EVERETT 1121 0.49 0.28 0.34 8.1 54.9 39.3 95.7 3.45 13.6438 WA- OLYMPIA 898 0.46 0.22 0.30 4.3 33.6 24.9 71.1 3.01 12.9439 WA- SEATTLE 4012 0.44 0.22 0.33 5.2 44.6 34.6 89.4 3.29 13.7440 WA- SPOKANE 3882 0.51 0.28 0.18 9.2 40.3 34.0 72.1 3.01 13.5441 WA- TACOMA 1507 0.47 0.23 0.38 4.9 39.1 35.1 81.3 3.40 13.7442 WA- YAKIMA 672 0.50 0.24 0.25 5.1 33.0 25.7 69.4 3.62 13.5443 WV- CHARLESTON 5264 0.54 0.33 0.18 11.8 25.0 22.8 41.1 2.37 12.4444 WV- HUNTINGTON 2124 0.54 0.31 0.28 11.3 30.2 27.5 51.4 2.47 12.5445 WV- MORGANTOWN 1453 0.46 0.24 0.20 4.9 22.0 25.6 42.7 2.46 12.5446 WI- APPLETON 520 0.41 0.19 0.24 3.9 25.0 23.1 56.9 3.38 12.7447 WI- GREEN BAY 1141 0.44 0.20 0.18 3.9 31.9 27.2 71.8 3.01 12.7448 WI- LA CROSSE 710 0.38 0.15 0.25 2.3 30.0 38.4 76.3 2.94 12.8449 WI- MADISON 2328 0.43 0.21 0.27 4.8 42.9 34.7 89.5 3.19 13.3450 WI- MARSHFIELD 841 0.43 0.18 0.22 2.5 28.6 29.2 69.0 3.25 13.5
HRR ID HRR Name
HRR Number of opioid
users
Percent of HRR
beneficiaries with one or more opioid
fill
Percent of HRR beneficiaries
with 6 or more fills
Percent of opioid pills
dispensed as oxycodone products
Median daily morphine
equivalents per user
Mean daily morphine
equivalents per user
Median daily
morphine equivalents per chronic
user
Mean daily morphine
equivalents per chronic
user
Mean unique opioid
prescribers per chronic
user
Median opioid
fill events
per chronic
user451 WI- MILWAUKEE 4920 0.44 0.23 0.31 7.0 50.7 40.0 97.7 3.17 13.8452 WI- NEENAH 491 0.47 0.21 0.20 2.4 29.9 27.0 69.7 3.14 13.5456 WI- WAUSAU 470 0.43 0.19 0.22 3.6 33.1 35.8 71.4 2.91 13.8457 WY- CASPER 393 0.44 0.21 0.21 5.6 36.8 29.4 75.0 3.31 13.7
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