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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: J Viral Hepat. 2019 Dec 9;27(4):376–386. doi: 10.1111/jvh.13241

Table 2.

Identification of factors predicting HCV care continuum outcomes by logistic regression (n=68).

Unadjusted
Adjusted
Odds Ratio p value 95% Confidence Interval Odds Ratio p value 95% Confidence Interval
Scheduled an appointment

  CD4+ cell count, 100-unit increase 1.00 0.054 1.00 – 1.00 1.23 0.032 1.02 – 1.48
  Alcohol use 3.00 0.051 0.99 – 9.05 3.79 0.030 1.14 – 12.61

Attended an appointment

  Alcohol use 3.57 0.016 1.27 – 10.04 3.79 0.016 1.29 – 11.13

Prescribed direct acting antivirals §

  Alcohol use 3.66 0.023 1.20 – 11.16 4.18 0.035 1.10 – 15.80
  Opiate agonist therapy 0.34 0.062 0.11 – 1.06 0.25 0.036 0.07 – 0.91
  Know someone who cured HCV 4.62 0.009 1.47 – 15.53 5.24 0.014 1.40 – 19.55

Initiated direct acting antivirals

  Financial strain 0.64 0.123 0.36 – 1.13 0.37 0.052 0.14 – 1.01
  Knows someone who cured HCV 4.62 0.009 1.47 – 14.53 8.05 0.036 1.15 – 56.49

adjusted model included CD4 cell count, alcohol use, and randomization arm.

adjusted model included alcohol use and randomization arm.

§

adjusted model included alcohol use, opiate agonist therapy, knowing someone who cured HCV, and randomization arm.

adjusted model included knowing someone who cured HCV, financial strain, and randomization arm.