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Table 1 Variables, measures, and methods of analysis for ESSAHM trial

From: Enhanced syphilis screening among HIV-positive men (ESSAHM): a study protocol for a clinic-randomized trial with stepped wedge design

Variable/outcome Hypothesis Outcome measure Methods of analysis
1) Primary: syphilis case detection 75 % increase over baseline rate New, previously untreated syphilis case as a binary measure GLMM models using SAS PROC GLIMMIX with logit function
2) Secondary:
a. screening coverage
Increase to 85 % of men testing annually Tested one or more times in 6-month study period as a binary measure GLMM models using SAS PROC GLIMMIX with logit function
Compare proportion tested and modify to annualized rates
b. screening frequency Increase to median of 3 tests per person/year Number of tests per year as Poisson count outcome data GLMM models using SAS PROC GLIMMIX with log link function
c. reached men at highest risk for syphilis by examining OHTN Cohort Studya subgroup Increases in screening coverage and frequency (2a&b) occur in the among men at highest risk for syphilis according to sexual behaviors Outcome measures for screening coverage and screening frequency GLMM models using SAS PROC GLIMMIX with logit and log link function
  1. GLMM general linear mixed models
  2. aOntario HIV Treatment Network Cohort Study, an ongoing clinical HIV cohort taking place at the four participating clinics of the trial [37]. An estimated 40 % of men in HIV care at these clinics are active participants of that cohort