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Predictive and spatial analysis for estimating the impact of sociodemographic factors on contraceptive use among women living with HIV/AIDS (WLWHA) in Kenya: Implications for policies and practice
  1. Menkeoma Laura Okoli1,
  2. Samuel Alao2,
  3. Somtochukwu Ojukwu1,
  4. Nnadozie C Emechebe1,
  5. Asuelimen Ikhuoria3,
  6. Kevin E Kip1
  1. 1 Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, Florida, USA
  2. 2 Department of Global Health, College of Public Health, University of South Florida, Tampa, Florida, USA
  3. 3 Leidos Inc., Alexandria, Virginia, USA
  1. Correspondence to Dr Menkeoma Laura Okoli; lauraokoli{at}health.usf.edu

Abstract

Background Despite the availability and knowledge of various contraceptive methods, consistent utilisation in women living with HIV/AIDS (WLWHA) within the reproductive age group remains below the Sustainable Development Goals (SDGs) and Family Planning 2020 goals. This study examines the association between sociodemographic factors and contraceptive use including the effect of clustering tendencies of these factors on contraceptive usage among WLWHA in Kenya.

Methods Weighted multivariate logistic regression models were conducted to determine the association of sociodemographic factors on contraception use among WLWHA using the 2008–2009 Kenya Demographic Health Survey. Spatial autocorrelation techniques were used to explore clustering tendencies of these factors on contraception utilisation. Our study population included 304 HIV positive women, aged 15–49 years.

Results Among 304 HIV-positive women in our study population, 92 (30.3%) reported using one method of contraception. Contraceptive use was significantly associated with wealth and education after adjustment for other sociodemographic variables. Women classified as having low and middle wealth index were less likely to use contraceptives (OR=0.17, 95% CI 0.07 to 0.43; OR=0.33, 95% CI 0.11 to 0.98, respectively) compared with women classified as having high wealth index. Similarly, women with primary education only were less likely to use contraceptives compared with women with secondary or higher education (OR=0.42, 95% CI 0.18 to 0.98). Spatial autocorrelation revealed significant positive clusters with weak clustering tendencies of non-contraceptive use among different levels of wealth index and education within different regions of Kenya.

Conclusion These findings underscores the need for intervention programmes to further target socially disadvantaged WLWHA, which is necessary for achieving the SDGs.

  • HIV/AIDS
  • wlwha
  • contraception
  • maternal health
  • spatial analysis

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Patient consent for publication Not required.

  • Contributors MLO conceptualised the study and was involved in all aspect of the analysis, findings and manuscript preparation. SA was involved in all aspects of spatial analysis and manuscript review. SO conducted the statistical analysis. NCE created the statistical analysis plan and reviewed all aspects of the statistical analysis. AI was involved in some aspects of the spatial analysis. KEK performed critical review, editing and study interpretation of the manuscript.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Ethics approval The Kenya Medical Research Institute reviewed and approved this project.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional data are available.

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