A: Predicting the absence or presence of REALM data (equation1) | |
---|---|
Variable* | |
REALM data available (% Yes) | 78 |
Female (%) | 59 |
Years of education, mean (SD)† | 11.80 (2.16) |
Age, mean (SD) | 26.36 (9.96) |
Clinic recruitment site (%) | 64 |
Enrolment location (%) | |
Denver | 24 |
Indianapolis | 21 |
New York | 31 |
Alabama | 34 |
B: Predictors of gonorrhoea testing in the previous year (equation 2) | |
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*n=1035,†n=930 because of missing data on years of education. All variables are dichotomies reflecting the characteristic except that self efficacy is a 1–7 Likert item, self rated health represents a “excellent” or “good” rating, and age and education are coded in years. | |
Variable | |
Gonorrhoea test in past year (% Yes) | 54 |
Suspected gonorrhoea (% Yes) | 28 |
Self inspection for gonorrhoea (% Yes) | 50 |
Self efficacy for healthcare seeking, mean (SD) | 5.64 (1.69) |
Assessment of health (% good/excellent) | 74 |
Source of payment for health care | |
Insurance (%) | 59 |
Free | 5 |
Self pay | 27 |
REALM, 9th grade or above (%) | 65 |
Clinic recruitment site (%) | 64 |
Age (years) mean (SD) | 26.36 (9.96) |