Factors influencing the use of HIV self-testing kits among adolescents: a case of Kalingalinga compound, Lusaka.
Date Issued
2024
Author(s)
Mwansa, Ethel
Abstract
In Zambia, HIV self-testing is vital for HIV prevention, but there's limited understanding of its use among adolescents. In Zambia, HIV self-testing has become integral to HIV prevention and control, yet a knowledge gap exists regarding its prevalence, utilization trends, and determinants among adolescents. This cross-sectional investigation, conducted in the Kalinglinga compound of Lusaka district, engaged 391 participants, with a robust response rate of 97.7%. Employing a
pretested questionnaire, data were analyzed at univariate, bivariate, and multivariate levels. Univariate analysis revealed a 79% non-usage prevalence. Bivariate analysis showed significant associations between non-usage and marital status (χ² = 7.064, p = 0.029), monthly income (χ² = 11.058, p = 0.030), kit availability (χ² = 16.868, p = 0.000), accessibility (χ² = 12.066, p = 0.002), and cost perception (χ² = 10.016, p = 0.007). Age, gender, education, religion, having a sexual
partner, unprotected sex, and drug use didn't significantly affect usage (p > 0.05). The analysis identified several key factors associated with a higher prevalence of non-usage of HIV self-test kits among the study participants. These factors included being aged 18-19 years, male gender, having primary or no formal education, being single, having a higher income, lacking a sexual partner, never engaging in unprotected sex, residing in areas with limited availability and
accessibility of self-test kits, and having uncertainty about the cost of acquiring these kits. These demographic and situational characteristics collectively contributed to a greater likelihood of non usage among the surveyed individuals. Multivariate analysis found higher income as a barrier (OR = 1.473, 95% CI: 1.222 - 2.252), while being single increased non-usage odds (OR = 2.424, 95% CI: 1.432 - 4.102). Areas without kits had higher non-usage odds (OR = 1.827, 95% CI: 1.129 - 2.956). Uncertainty about kit costs led to higher non-usage odds (OR = 2.708, 95% CI: 1.230 - 5.964). These findings underscore the need for tailored interventions addressing specific demographic, socioeconomic, and predisposing factors impeding HIV self-testing. The study enriches the body of knowledge on HIV self-testing, offering insights for policy and program development to bolster public health strategies for HIV prevention and control.
pretested questionnaire, data were analyzed at univariate, bivariate, and multivariate levels. Univariate analysis revealed a 79% non-usage prevalence. Bivariate analysis showed significant associations between non-usage and marital status (χ² = 7.064, p = 0.029), monthly income (χ² = 11.058, p = 0.030), kit availability (χ² = 16.868, p = 0.000), accessibility (χ² = 12.066, p = 0.002), and cost perception (χ² = 10.016, p = 0.007). Age, gender, education, religion, having a sexual
partner, unprotected sex, and drug use didn't significantly affect usage (p > 0.05). The analysis identified several key factors associated with a higher prevalence of non-usage of HIV self-test kits among the study participants. These factors included being aged 18-19 years, male gender, having primary or no formal education, being single, having a higher income, lacking a sexual partner, never engaging in unprotected sex, residing in areas with limited availability and
accessibility of self-test kits, and having uncertainty about the cost of acquiring these kits. These demographic and situational characteristics collectively contributed to a greater likelihood of non usage among the surveyed individuals. Multivariate analysis found higher income as a barrier (OR = 1.473, 95% CI: 1.222 - 2.252), while being single increased non-usage odds (OR = 2.424, 95% CI: 1.432 - 4.102). Areas without kits had higher non-usage odds (OR = 1.827, 95% CI: 1.129 - 2.956). Uncertainty about kit costs led to higher non-usage odds (OR = 2.708, 95% CI: 1.230 - 5.964). These findings underscore the need for tailored interventions addressing specific demographic, socioeconomic, and predisposing factors impeding HIV self-testing. The study enriches the body of knowledge on HIV self-testing, offering insights for policy and program development to bolster public health strategies for HIV prevention and control.
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