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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