Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya
Author(s) -
M. Renée Umstattd Meyer,
Molly E. DeWittFoy,
Cinthia Blat,
Starley B. Shade,
Ijaa Kapule,
Elizabeth A. Bukusi,
Craig R. Cohen,
Lisa Abuogi
Publication year - 2013
Publication title -
international journal of maternal and child health and aids
Language(s) - English
Resource type - Journals
eISSN - 2161-8674
pISSN - 2161-864X
DOI - 10.21106/ijma.30
Subject(s) - medicine , serostatus , kenya , confounding , pediatrics , test (biology) , human immunodeficiency virus (hiv) , cross sectional study , gold standard (test) , demography , family medicine , viral load , paleontology , pathology , sociology , political science , law , biology
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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