Skip to main content

Table 5 Analyses of secondary and exploratory aims

From: Facilitating HIV/AIDS and HIV testing literacy for emergency department patients: a randomized, controlled, trial

Secondary aims Measurements Analytic methods
Motivation
 (1) attitudes toward need for HIV testing for oneself, (2) beliefs regarding the value of HIV testing, and (3) self-perceived risk for having an HIV infection
HIV testing motivation and behavioral skills questionnaire;
post- vs. pre-information delivery
• Paired t-tests or signed rank tests
• Generalized linear mixed-effects regression
Behavioral skills
 (1) initiating or seeking of HIV testing, (2) interpretation and response to HIV test results, and (3) assessment of HIV risk and need for repeat testing
HIV testing motivation and behavioral skills questionnaire;
post- vs. pre-information delivery
• Paired t-tests or signed rank tests
• Generalized linear mixed-effects regression
Behaviors
 (1) testing uptake one-year post-enrollment when offered in the study, (2) testing utilization during the study period, and (3) change in testing utilization one-year pre- vs. post-enrollment
(1) Repeat rapid HIV testing acceptance questionnaire
(2) HIV test utilization questionnaire
(3) HIV testing history
• McNemar’s tests
• Cochran-Mantel-Haenszel’s test
• Generalized linear mixed-effects model
Exploratory aims Measurements Analytic methods
 Utility of brief health literacy instruments NVS and 3 single-item screens of health literacy level vs. SAHL-S&E and HIV/AIDS and HIV testing knowledge questionnaire • Pearson/Spearman correlation
• Cohen’s Kappa for agreement tests
• ROC analyses
• Test performance parameters
 Information delivery mode preferences and satisfaction HIV/AIDS and HIV testing information delivery mode preferences and satisfaction questionnaire; post- vs. pre-information delivery • Paired t-tests or signed rank tests
• Generalized linear mixed-effects regression
 HIV risk-taking behaviors HIV risk-taking questionnaire • McNemar’s tests
• Cochran-Mantel-Haenszel’s test
• Generalized linear mixed-effects model