Materials and methods
A cross-sectional descriptive study design was used to generate both
quantitative and qualitative data through self-administered
questionnaires, focus group discussions and in-depth interviews
respectively. The study population in this study was youths between 18
and 35 years of age in selected tertiary training institutions in Migori
County. Youths in tertiary colleges come from diverse backgrounds and
regions, are accessible and most of them have the knowledge about HIV/
AIDstransmission and its prevention mechanisms.
The study employed two sampling techniques: Purposeful sampling of the
tertiary institutes in Migori County and proportionate random sampling
of research participants. Purposive sampling was used to identify the
target study population (the youths) on the basis of specific
considerations by the researcher such as, the health of the youths is of
paramount importance to the building our nation since they represent
majority work force and professionals.
Reliability of the instrument was estimated using the split half method.
Odd-even split method was used to obtain the two halves. The following
Spearman Brown prophecy formula is used to calculate the reliability
coefficient. The Cronbach’s alpha was calculated and was found to be at
(α =0.817) which showed a high degree of reliability of the variables.
The questionnaire comprised of sections that looked into the demographic
characteristics of the youths, accessibility of the female condom by the
youths, the cost of the female condom, and socio-cultural barriers to
use of the female condoms. Qualitative data were collected from the
youths using open ended questions, focused group discussions and in
depth interviews with the health care workers at the tertiary institute
health clinics. The study was done in two phases; phase one involved
data collection using self-administered questionnaires administered to
youths (18 - 35 years of age) and the second phase involved conducting
two Focus Group Discussions (FGDs) and in-depth interviews with women of
18 - 35 years of age in each of the selected institutions.
The data collected was then grouped into categories, tested for
homogeneity and normality of distribution, Chi Square was used to check
for the significant associations between the variables at 95 percent
confidence interval, a p value of p ˂ 0.05 was used. The qualitative
information collected was coded into the respective categories
illustrating the various themes, then was entered into computer for
thematic analysis using N-Vivo version 11. Quantitative data was
analyzed using Statistical Package for Social Sciences (SPSS version
23). Bivariate analysis was used to measure the strength of associations
while the multivariate analysis was used to adjust the confounders.
Descriptive statistics specifically tables and bar graphs were used to
present the findings.