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Table 3 Variables, Measures and Methods of Analysis

From: The HAART cell phone adherence trial (WelTel Kenya1): a randomized controlled trial protocol

Variable/Outcome

Hypothesis

Outcome Measure

Methods of Analysis

1) Primary

Intervention improved outcome from baseline to 6 months

  

a) Adherence at 12 months

 

Percent adherence in previous 30 days >95% [binary]

Chi-squared test

b) Suppression of HIV viral load at 12 months

 

Viral load ≤400 copies/ml [binary]

Chi-squared test

2) Secondary

Adherence percentage at 12 months

improvement occurred

Adherence % (>95%) [binary]

Chi-squared test

HIV viral load at 12 months

improvement occurred

Viral load (copies)

T-test

Immune reconstitution (change in CD4 T cell count from baseline)

improvement occurred

Cd4 T-cells/mm3 (continuous)

T-test

Time to virological failure

Improvement occurred

Virological failure after successful suppression

Kaplan-Meier survival analysis

Weight gain [lbs] and BMI

improvement occurred

Change in weight (lbs) and BMI [continuous]

T-test

Occurrence of opportunistic infections (OIs)

improvement occurred

Presence of AIDS defining opportunistic infection [binary]

Chi-squared test

Time to reporting of adverse drug events (ADEs)

improvement occurred

Presence of drug-related adverse event [time to event]

Kaplan-Meier survival analysis

Deaths (all cause)

improvement occurred

All-cause mortality [binary]

Chi-squared test and Kaplan-Meier survival analysis

SF-12

improvement occurred

Quality pf life questionnaire [continuous]

T-test

Satisfaction with care provided

improvement occurred

Questionnaire [continuous]

T-test

Level of disclosure of HIV status

improvement occurred

Disclosed to a family member [binary]

Chi-squared test

Impression of stigma

improvement occurred

Questionnaire [continuous]

T-test

Family dyamics

improvement occurred

Questionnaire [continuous]

T-test

Employment attendance

improvement occurred

Questionnaire [continuous]

T-test

Household member school attendance

improvement occurred

Questionnaire [continuous]

T-test

Cell phones lost/stolen

improvement occurred

Presence of cellphone [binary]

Poisson regression

Stopped taking HAART

improvement occurred

Self-report [binary]

Chi-squared test

Required active tracing for 12 month follow-up

improvement occurred

Field officers [binary]

Chi-squared test

3) Subgroup Analyses:

  

Regression methods with appropriate interaction term

   Urban vs. rural

Distance affects adherence

  

Female vs. male

Sex affects adherence

  

Phone ownership (owned vs. shared)

Ownership affects adherence

  

Level of education

Low education affects adherence

  

4) Sensitivity Analyses:

improvement occurred

All outcomes

 

   a) Per protocol analysis

  

   a) Chi-squared/T-test test

   b) Adjusting for baseline covariates

  

   b) Multivariable regression

   c) clustering among individuals within a clinic

  

c) GEE

  1. IMPORTANT REMARKS:
  2. • The GEE[11] is a technique that allows to specify the correlation structure between patients within a hospital and this approach produces unbiased estimates under the assumption that missing observations will be missing at random. An amended approach of weighted GEE will be employed if missingness is found not to be at random.[12]
  3. • In all analyses results will be expressed as coefficient, standard errors, corresponding 95% and associated p-values.
  4. • Goodness-of-fit will be assessed by examining the residuals for model assumptions and chi-squared test of goodness-of-fit.
  5. Bonferroni method will be used to adjust the overall level of significance for multiple secondary outcomes.