Skip to main content

Table 3 Logistic regression model results of different adherence measures predicting a detectable viral load of ≥ 20 copies/ml, at different adherence cut-offs

From: Predicting viral load suppression by self-reported adherence, pharmacy refill counts and real time medication monitoring among people living with HIV in Tanzania

Viral load ≥ 20 copies/ml

  

AOR(95%CI)

P

Self-report

 ≥ 80%

  

–

 < 80%

Ref

 

Pharmacy refill

 ≥ 80%

 

0.8 (0.4–1.8)

0.679

 < 80%

 

1

RTMM

 ≥ 80%

 

0.6 (0.2–1.7)

0.322

 < 80%

Ref

1

Self-report

 ≥ 85%

 

0.1 (0.01–1.0)

0.053

 < 85%

Ref

1

Pharmacy refill

 ≥ 85%

 

0.8 (0.4–1.5)

0.454

 < 85%

Ref

1

RTMM

 ≥ 85%

 

0.7 (0.2–2.0)

0.508

 < 85%

Ref

1

Self-report

 ≥ 90%

 

0.1 (0.01–1.0)

0.053

 < 90%

Ref

1

Pharmacy refill

 ≥ 90%

 

0.7 (0.4–1.4)

0.365

 < 90%

Ref

1

RTMM

 ≥ 90%

 

0.7 (0.2–1.9)

0.465

 < 90%

Ref

1

Self-report

 ≥ 95%

 

0.6 (0.2–2.1)

0.477

 < 95%

Ref

1

Pharmacy refill

 ≥ 95%

 

0.5 (0.3–1.0)

0.051

 < 95%

Ref

1

RTMM

 ≥ 95%

 

0.7 (0.2–1.9)

0.492

 < 95%

Ref

1

Self-report

100%

 

0.7 (0.3–1.5)

0.356

 < 100%

Ref

1

Pharmacy refill

100%

 

0.7 (0.4–1.2)

0.190

 < 100%

Ref

1

RTMM

100%

 

0.8 (0.2–2.6)

0.727

 < 100%

Ref

1

  1. Ref reference category
  2. AOR Odds ratios adjusted for gender and ART regimen.
  3. RTMM real time medication monitoring.
Back to article page

AIDS Research and Therapy

ISSN: 1742-6405

Contact us