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. 2019 Jan 18;2(1):e186007. doi: 10.1001/jamanetworkopen.2018.6007

Table 1. Characteristics of Counties Receiving Opioid Marketing During 2013-2015 and Subsequent Opioid Prescribing and Mortality From Overdoses During 2014-2016a.

Characteristic Total Cost of Marketing, $ per 1000 Population, Mean (SD) Total No. of Payments, per 1000 Population, Mean (SD) No. of Physicians With ≥1 Payment, per 1000 Population, Mean (SD) Opioid Prescribing Rate, per 100 Population, Mean (SD) Overdose Mortality Rate, per 100 000 Person-Years, Mean (SD)
All counties receiving marketing 1.57 (5.29) 0.03 (0.04) 0.01 (0.01) 90.0 (42.8) 7.4 (9.0)
Age
<15% aged >65 y (n = 1003) 2.36 (6.16) 0.04 (0.04) 0.01 (0.01) 85.8 (39.4) 7.4 (8.5)
≥15% aged >65 y (n = 1205) 1.49 (5.38) 0.04 (0.04) 0.02 (0.01) 93.6 (45.1) 7.5 (9.3)
Race/ethnicityb
White non-Hispanic (n = 1983) 1.88 (5.92) 0.04 (0.04) 0.01 (0.01) 91.3 (41.9) 7.7 (9.1)
Black non-Hispanic (n = 67) 1.11 (2.19) 0.04 (0.04) 0.01 (0.01) 96.9 (51.9) 3.9 (8.6)
Hispanic (n = 44) 1.36 (5.53) 0.02 (0.02) 0.007 (0.005) 63.2 (22.7) 4.6 (7.4)
Other (n = 11)c 2.54 (4.58) 0.02 (0.01) 0.07 (0.003) 38.6 (25.7) 3.8 (4.6)
Mixed (n = 103)d 3.11 (4.72) 0.04 (0.03) 0.01 (0.01) 76.2 (51.2) 6.4 (6.9)
High school completion
Low (<85%) (n = 945) 1.23 (4.22) 0.03 (0.04) 0.01 (0.01) 104.0 (51.1) 7.7 (10.4)
High (≥85%) (n = 1263) 2.37 (6.58) 0.04 (0.04) 0.02 (0.01) 79.5 (31.5) 7.3 (7.7)
Unemployment
Low (<5%) (n = 140) 0.98 (2.41) 0.04 (0.04) 0.02 (0.02) 65.4 (34.3) 3.7 (5.9)
High (≥5%) (n = 2068) 1.97 (5.91) 0.04 (0.04) 0.01 (0.01) 91.7 (42.8) 7.7 (9.1)
Poverty
Low (<10%) (n = 370) 2.65 (7.32) 0.04 (0.04) 0.01 (0.01) 65.1 (27.6) 6.2 (6.9)
High (≥10%) (n = 1838) 1.77 (5.41) 0.04 (0.04) 0.01 (0.01) 95.0 (43.6) 7.7 (9.3)
Median household income
Low (<$60 000) (n = 1922) 1.70 (5.49) 0.04 (0.04) 0.01 (0.01) 93.9 (43.9) 7.5 (9.3)
High (≥$60 000) (n = 286) 3.20 (7.18) 0.04 (0.03) 0.01 (0.01) 63.7 (20.3) 7.2 (6.5)
Income inequalitye
Low (Gini coefficient <0.4) (n = 242) 2.04 (5.99) 0.04 (0.04) 0.01 (0.01) 92.4 (43.3) 6.1 (7.1)
High (Gini coefficient ≥0.4) (n = 1966) 0.92 (3.50) 0.03 (0.03) 0.01 (0.01) 69.81 (31.7) 7.6 (9.2)
Metropolitan area
Metropolitan (n = 1033) 2.81 (6.63) 0.04 (0.04) 0.01 (0.01) 82.5 (34.6) 8.0 (8.6)
Nonmetropolitan (n = 1175) 0.94 (4.50) 0.03 (0.04) 0.01 (0.01) 96.6 (47.9) 6.9 (9.3)
Census region
South (n = 1042) 1.86 (5.48) 0.04 (0.04) 0.01 (0.01) 104.2 (48.4) 8.4 (10.4)
Midwest (n = 679) 1.55 (6.31) 0.04 (0.04) 0.02 (0.01) 79.7 (35.1) 5.5 (7.0)
West (n = 280) 1.66 (4.43) 0.03 (0.03) 0.01 (0.01) 80.3 (30.6) 6.9 (7.0)
Northeast (n = 207) 3.54 (6.74) 0.04 (0.04) 0.01 (0.01) 66.1 (19.1) 9.8 (8.2)
a

N = 2208; counties that did not receive any pharmaceutical industry marketing are not included.

b

Classified according to race/ethnicity exceeding 50% of the county composition.

c

Other counties are those with 50% of individuals or more identified as non-Hispanic Asian, American Indian or Alaskan Native, or Pacific Islander.

d

Mixed counties are those that did not meet a 50% threshold for white, black, Hispanic, or other (non-Hispanic Asian, American Indian or Alaskan Native, or Pacific Islander) race/ethnicity.

e

Gini index of income inequality ranges from 0, representing perfect income equality (ie, all incomes within a county are the same), to 1, representing perfect inequality (ie, 1 individual within a county holds all the county’s income, and all others in the same county have no income).20,21,22,23