Gender differences in HIV testing service visits and its related factors among adults: a cross-sectional study in Homa Bay, Kenya

Pan Afr Med J. 2021 Dec 9:40:217. doi: 10.11604/pamj.2021.40.217.28331. eCollection 2021.

Abstract

Introduction: at least 90% of people living with human immunodeficiency virus (HIV) were expected to know their HIV status by 2020. However, only 84% are aware of their status. This study determined the frequency of HIV testing services visits (HTS) and its related factors to HTS visits among adults in Homa Bay County, Kenya.

Methods: this was a cross-sectional study. Quantitative and qualitative data were collected. A backward stepwise logistic regression analysis was conducted for quantitative data by gender. Qualitative data were thematically categorised into factors of HTS visits by gender.

Results: a total of 645 adults participated in quantitative survey and 17 in qualitative survey. There were no gender differences in the frequency of HTS visits (males=56.3%; females= 58.7%, P=0.785). The frequency of visits was however significantly different between the rural-based (Rachuonyo North=87.5%; Ndhiwa=58.7%) and urban-based (Homa Bay Town=36.8%) facilities at P<0.001. In males, HTS visits were positively associated with ´being in Protestant church´, ´partner´s attitude´, and ´being accompanied by a friend to HTS´. ´Distance to HTS´ was negatively associated with HTS visits in males. For females, 'sexual intercourse in the past 2-5 months´ was positively associated with HTS visits. ´Being in a polygamous marriage´, ´not married´, ´community HIV testing´, and ´affordability of transport cost to HTS centre´ were negatively associated with HTS visits.

Conclusion: there were no gender differences in the frequency of HTS visits. Social position for males and position in the family for females are suggested as the factors influencing HTS visits in Homa Bay County.

Keywords: HIV testing services; Homa Bay; factors; gender differences; testing behaviour.

MeSH terms

  • Adult
  • Bays*
  • Cross-Sectional Studies
  • Female
  • HIV Infections* / diagnosis
  • HIV Infections* / epidemiology
  • HIV Testing
  • Humans
  • Kenya / epidemiology
  • Male
  • Sex Factors