AI Article Synopsis

  • * The analysis used data from the 2019 Sierra Leone Demographic and Health Survey, employing spatial autocorrelation and mixed-effect regression methods to identify factors influencing HIV testing prevalence.
  • * Results showed a national HIV testing prevalence of 42.1%, with notable regional hotspots and cold spots, and identified key factors associated with higher testing rates, including age, education level, and internet usage.

Article Abstract

Background: Sierra Leone faces a significant challenge in addressing HIV/AIDS, particularly among adolescent girls and young women. This age group is considered highly vulnerable due to biological factors and social inequalities. Understanding the prevalence of HIV testing in this demographic is crucial for designing effective prevention and treatment strategies. This study investigated the spatial distribution of HIV testing and its associated factors among adolescent girls and young women in Sierra Leone.

Methods: Data from the 2019 Sierra Leone Demographic and Health Survey was used for the study. The sample comprised 6,062 adolescent girls and young women between the ages of 15 and 24. Spatial autocorrelation and Moran's I statistic were employed to analyze the spatial distribution of HIV testing. An analysis utilising mixed-effect multilevel binary logistic regression was performed to determine the factors associated with HIV testing. The findings were presented as adjusted odds ratios (aOR) and a 95% confidence interval (CI).

Results: The national prevalence of HIV testing among adolescents and young women in Sierra Leone was 42.1% [40.3,43.9]. Kailahun, Kambia, Tonkolil, some parts of the Western rural area, and Bonthe districts were found to be statistically significant hotspot for HIV testing. Whereas, Karene, Falaba, Bo, kenema, and some parts of Pujuhun were statistically cold spot districts. Adolescent girls and young women aged 20-24 [aOR = 1.63, 95% CI = 1.29, 2.07] had higher odds of HIV testing than those aged 15-19. Those with secondary/higher education [aOR = 1.87, 95% CI = 1.40, 2.51] had higher odds of HIV testing than those with no education. The odds of HIV testing was higher among adolescent girls and young women who use the Internet [aOR = 1.75, 95% CI = 1.32, 2.33] than those who did not use internet. Adolescent girls and young women with one [aOR = 16.56, 95% CI = 12.31, 22.29] and two or more parity [aOR = 16.37, 95% CI = 10.86, 24.68] had higher odds of HIV testing than those with no parity. The likelihood of HIV testing was higher among adolescent girls and young women who had sex below 18 [aOR = 4.54, 95% CI = 3.25, 6.34] and those who had sex at 18+ [aOR = 5.70, 95% CI = 3.84, 8.45] compared to those who had never had sex. Adolescent girls and young women who visited health facilities in the past 12 months [aOR = 1.82, 95% CI = 1.46, 2.26] had higher odds of HIV testing than those who did not.

Conclusion: Despite some positive trends, HIV testing rates among adolescent girls and young women in Sierra Leone remain moderate. Spatial autocorrelation analysis consistently revealed hotspots and cold spots for HIV testing, with Kailahun, Kambia, Tonkolil, some parts of the Western rural area, and Bonthe districts remaining persistent hotspots. Age, education, internet use, sexual history, parity, and healthcare access are significant factors influencing testing behaviour. To improve testing rates, the government and policymakers should prioritize educational campaigns, expand internet access, integrate HIV testing into routine healthcare, and address stigma associated with HIV.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11515748PMC
http://dx.doi.org/10.1186/s12879-024-10031-wDOI Listing

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