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Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Global Health and Education Projects, Inc
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4948150/ https://www.ncbi.nlm.nih.gov/pubmed/27621978 |
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author | Meyer, Michelle Elmer-DeWitt, Molly Blat, Cinthia Shade, Starley B. Kapule, Ijaa Bukusi, Elizabeth Cohen, Craig R. Abuogi, Lisa |
author_facet | Meyer, Michelle Elmer-DeWitt, Molly Blat, Cinthia Shade, Starley B. Kapule, Ijaa Bukusi, Elizabeth Cohen, Craig R. Abuogi, Lisa |
author_sort | Meyer, Michelle |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4948150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Global Health and Education Projects, Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-49481502016-09-12 Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya Meyer, Michelle Elmer-DeWitt, Molly Blat, Cinthia Shade, Starley B. Kapule, Ijaa Bukusi, Elizabeth Cohen, Craig R. Abuogi, Lisa Int J MCH AIDS Original Article 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. Global Health and Education Projects, Inc 2014 /pmc/articles/PMC4948150/ /pubmed/27621978 Text en Copyright: © 2014 Meyer et al. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Meyer, Michelle Elmer-DeWitt, Molly Blat, Cinthia Shade, Starley B. Kapule, Ijaa Bukusi, Elizabeth Cohen, Craig R. Abuogi, Lisa Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya |
title | Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya |
title_full | Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya |
title_fullStr | Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya |
title_full_unstemmed | Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya |
title_short | Evaluation and Utility of a Family Information Table to Identify and Test Children at Risk for HIV in Kenya |
title_sort | evaluation and utility of a family information table to identify and test children at risk for hiv in kenya |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4948150/ https://www.ncbi.nlm.nih.gov/pubmed/27621978 |
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