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Observational Study
. 2020 Jan-Dec:19:2325958220906030.
doi: 10.1177/2325958220906030.

Point-of-Care Early Infant Diagnosis Improves Adherence to the Testing Algorithm in Kenya

Collins Otieno Odhiambo  1 , George Githuka  2 , Nancy Bowen  3 , Leonard Kingwara  3 , Jared Onsase  1 , Bernard Ochuka  1 , Michael Waweru  1 , Rose Masaba  1 , Lucy Matu  1 , Eliud Mwangi  1 , Jennifer Cohn  4
Affiliations
Observational Study

Point-of-Care Early Infant Diagnosis Improves Adherence to the Testing Algorithm in Kenya

Collins Otieno Odhiambo et al. J Int Assoc Provid AIDS Care. 2020 Jan-Dec.

Abstract

Introduction: We determine the level of adherence to the revised Kenya early infant diagnosis (EID) algorithm during implementation of a point-of-care (POC) EID project.

Methods: Data before (August 2016 to July 2017) and after (August 2017 to July 2018) introduction of POC EID were collected retrospectively from the national EID database and registers for 33 health facilities. We assessed the number of HIV-infected infants who underwent confirmatory testing and received baseline viral load test and proportion of infants with an initial negative result who had a subsequent test.

Results and discussion: Significantly higher number of infants accessed confirmatory testing (94.2% versus 38.6%; P < .0001) with POC EID. Baseline viral load test and follow-up testing at 6 months, although higher with POC EID, were not significantly different from the pre-POC EID intervention period.

Conclusion: The POC EID implementation has the potential to increase proportion of infants who receive confirmatory testing, thus reducing the risk of false-positive results.

Keywords: HIV; adherence; algorithm; early infant diagnosis; point of care.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Kenya national early infant diagnosis (EID) algorithm.
See this image and copyright information in PMC

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