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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: J Addict Med. 2022 Sep-Oct;16(5):557–562. doi: 10.1097/ADM.0000000000000970

Table 1.

Characteristics of Respondents who Completed the Implicit Association Test and Explicit Bias Survey

Sample Characteristics Total D-Score1 Explicit Bias Score - All Questions2 Explicit Bias Score - Attitudes2 Explicit Bias Score - PCDU2 Explicit Bias Score - PWUDDHC2

N (%) Mean p-value Mean p-value Mean p-value Mean p-value Mean p-value

Gender3
  Female 57 (72.2) 0.46 0.960 2.08 0.488 2.16 0.959 2.24 0.294 1.95 0.773
  Male 21 (26.6) 0.47 1.99 2.15 2.02 1.90
Department
  Emergency Medicine 13 (16.5) 0.31 0.159 2.34 0.049 2.43 0.159 2.33 0.389 2.38 0.017
  Psychiatry 15 (19.0) 0.49 1.80 1.85 2.02 1.65
  Family Medicine 12 (15.2) 0.56 2.01 2.13 2.00 1.92
  Internal Medicine 7 (8.9) 0.54 1.79 2.11 1.86 1.46
  Obstetrics/Gynecology 5 (6.3) 0.76 2.44 2.56 2.60 2.36
  Other 26 (32.9) 0.40 2.05 2.14 2.20 1.90
Position
  Physician - Staff/Attending 30 (38.0) 0.45 0.241 2.00 0.529 2.13 0.66 2.13 0.331 1.84 0.291
  Medical Training - Student/Resident 20 (25.3) 0.37 1.98 2.1 1.92 1.95
  Nurse 11 (13.9) 0.64 2.31 2.38 2.45 2.25
  Other 17 (21.5) 0.45 2.03 2.13 2.28 1.84
Number of Substance Patients Seen Weekly with SUD
  0 9 (11.4) 0.49 0.221 2.19 0.514 2.31 0.691 2.47 0.278 1.91 0.926
  1–10 48 (60.8) 0.49 2.03 2.16 2.07 1.93
  >10 22 (27.8) 0.38 2.05 2.09 2.26 1.95
1

The D-score ranged from −2 to +2, and we defined a positive score to indicate negative implicit bias toward Target A (“drug users”), whereas a negative score indicated negative implicit bias toward Target B (“non-users”). A D-score of zero indicated no implicit bias.

2

Explicit bias scores are based on a 5-point Likert scale, where 5 indicates the highest negative bias. Attitudes=attitudes toward PWUD; PCDU=perceived controllability over drug use; PWUDDHC=do persons who use drugs deserve healthcare.

3

One individual identified as non-binary was not included in the univariate comparison due to small sample size.