Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya

Authors

  • Michelle Meyer School of Medicine, University of California, San Francisco, CA 94143USA
  • Molly Elmer-DeWitt School of Medicine, University of California, San Francisco, CA 94143USA
  • Cinthia Blat Kenya Medical Research Institute (KEMRI), Family AIDS Care and Education Services (FACES), Kisumu, KENYA
  • Starley B Shade Department of Medicine, University of California, San Francisco, CA 94143, USA
  • Ijaa Kapule Kenya Medical Research Institute (KEMRI), Family AIDS Care and Education Services (FACES), Kisumu, KENYA
  • Elizabeth Bukusi Kenya Medical Research Institute (KEMRI), Family AIDS Care and Education Services (FACES), Kisumu, KENYA
  • Craig R Cohen Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, CA 94143, USA
  • Lisa Abuogi Department of Pediatrics, University of Colorado, Denver, CO 80045, USA

DOI:

https://doi.org/10.21106/ijma.30

Keywords:

  • Family Information Table,
  • Pediatrics,
  • HIV/AIDS,
  • Linkage,
  • Kenya,
  • HIV Testing

Abstract

Background: Effective strategies to identify and screen children at risk for HIV are needed. The objectives of this study were to evaluate the utilization of a family information table (FIT) to identify and test at-risk children in Kenya and identify factors associated with child testing. Methods: A cross-sectional study was conducted among HIV-infected adults with children at five Kenyan clinics. HIV testing status for children aged ≤18 years was gathered from the patients’ FITs and compared to reports from in-person clinic visits as the gold standard. Generalized estimating equations were used to assess predictors for HIV testing of children adjusted for confounders and within parent correlation. Results: Our sample included 384 HIV-infected adults enrolled in care with 933 reported children. Overall, 323 FITs (84%) correctly listed all children in the family and 340 (89%) documented an HIV testing status (including untested) for all children. Seventy-five percent of parents verbally reported all children tested, compared to only 46% of FITs (OR=13.5, 95% CI 6.5-27.8). Verbal reports identified 739 (79%) children tested, with 55 (7.4%) HIV-positive and 17 (2.3%) HIV-exposed infants (HEI). Of 63 adults with HIV-positive children or HEI, 60 (95%) reported enrolling children into care. Likelihood that children had been tested was higher for younger children (≤4y vs. > 4y, aOR=2.0; 95% CI 1.4-2.9) and lower if the partner’s serostatus was unknown vs. seropositive (aOR=0.3; 95% CI: 0.1-0.8). Conclusions: Although the FIT may be a useful tool to identify children at risk for HIV, this study found underutilization by providers. To maximize impact of this tool, documentation of follow-up for untested and positive children is essential. Global Health Implications: Through early documentation of at-risk children and follow up of untested and infected children, the FIT may serve as an effective resource for improving HIV testing and linkage to care.

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Published

2015-11-13
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How to Cite

Meyer, M., Elmer-DeWitt, M., Blat, C., Shade, S. B., Kapule, I., Bukusi, E., … Abuogi, L. (2015). Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya. International Journal of Maternal and Child Health and AIDS, 2(2), 236–243. https://doi.org/10.21106/ijma.30

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Copyright © 2015 Michelle Meyer, Molly Elmer-DeWitt, Cinthia Blat, Starley B Shade, Ijaa Kapule, Elizabeth Bukusi, Craig R Cohen, Lisa Abuogi. Published by Global Health and Education Projects, Inc., USA.

Creative Commons License

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.