Skip to main content
. 2024 Jun 28;7(6):e2419094. doi: 10.1001/jamanetworkopen.2024.19094

Table 1. Association of Demographic Characteristics With Knowledge and Beliefs About MOUD and OUD Treatment in Primary Care Settings.

Survey item Participants, No. (unweighted %) Weighted % To the best of your knowledge, can PCPs treat people with an OUD by prescribing them a medication for their disorder? (n = 1234) The office of a PCP should be a place where people can receive OUD treatment (n = 1221)
Yes, weighted % No, weighted % Do not know, weighted % P value Disagree, weighted % Agree, weighted % P value
Totala 1234 (100.0) 100.0 25.3 13.3 61.4 NA 23.8 76.2 NA
Age, yb
18-29 196 (16.1) 19.7 18.4 23.8 57.8 .002 19.1 80.9 .03
30-44 354 (29.0) 25.8 28.3 10.7 60.9 17.1 82.9
45-59 261 (21.4) 23.8 23.7 13.0 63.3 28.3 71.8
≥60 410 (33.6) 30.7 29.3 8.7 62.0 26.6 73.4
Genderc
Male 539 (43.5) 49.1 29.1 12.7 58.2 .10 22.1 77.9 .54
Female 700 (56.5) 50.9 22.1 13.8 64.1 24.0 76.0
Race and ethnicityd
Black 143 (11.5) 12.0 27.5 19.5 53.1 .05 20.9 79.1 .62
Hispanic or Latino 188 (15.2) 17.3 18.8 19.3 62.0 26.4 73.6
White 848 (68.4) 61.6 26.6 9.7 63.7 21.9 78.1
Other or ≥2 racese 60 (4.8) 9.1 28.4 17.6 54.0 27.4 72.6
Political party affiliation
Democrat 429 (34.9) 33.1 25.5 16.2 58.3 .59 19.8 80.2 .03
Lean Democrat 146 (11.9) 10.6 27.3 10.2 62.5 13.3 86.7
Lean Independent or none 217 (17.7) 19.2 25.3 11.6 63.0 30.2 69.8
Lean Republican 112 (9.1) 9.7 17.6 13.9 68.5 25.8 74.2
Republican 325 (26.4) 27.4 27.4 12.0 60.6 25.5 74.5
Educational level
Less than high school 62 (5.0) 8.8 23.7 16.8 59.6 .26 25.1 74.9 .84
High school diploma or equivalency 231 (18.6) 29.1 24.3 15.9 59.7 20.1 79.9
Some college or associate’s degree 533 (43.0) 26.4 25.8 10.5 63.7 24.2 75.8
Bachelor’s degree 246 (19.9) 22.4 21.7 14.4 64.0 24.4 75.6
Postgraduate study or professional degree 167 (13.5) 13.4 35.4 8.5 56.1 23.7 76.4

Abbreviations: MOUD, medications for opioid use disorder; NA, not applicable; OUD, opioid use disorder; PCP, primary care physicians.

a

In cases where a respondent skipped a question online, it was coded as missing and analyzed using complete case analysis.

b

Age was recorded categorically in the dataset used for analysis to protect the confidentiality of respondents.

c

Gender was classified as a binary for these analyses to protect the identity of nonbinary respondents, whose individual cell values were fewer than 10.

d

Race and ethnicity were self-identified by survey participants.

e

Other is defined here as self-identified race not displayed in the table, such as Asian and American Indian or Alaska Native.