Performance of HIV rapid testing algorithm in Nigeria: Findings from a household-based Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS).
Hetal K Patel, Sunday Ikpe, Megan Bronson, Sehin Birhanu, Alash'le Abimiku, Ibrahim Jahun, Mervi Detorio, Kathryn Lupoli, Daniel Yavo, Orji O Bassey, Tapdiyel D Jelpe, Brian Kagurusi, Nnaemeka C Iriemenam, Divya Patel, McPaul I Okoye
July 2022 PLOS Glob Public HealthSynopsis of Social media discussions
Several discussions cite the study's findings about the high false-positive rate and the need to reevaluate testing protocols, with phrases like 'significant implications for diagnosis' and 'urgent need for improvement.' The tone is serious and reflective, emphasizing the importance of accurate testing methods for public health.
Agreement
Moderate agreementMost discussions acknowledge the validity of the study and agree on concerns about the accuracy of HIV testing in Nigeria.
Interest
Moderate level of interestParticipants show moderate interest, discussing methodological details and implications for public health.
Engagement
Moderate level of engagementComments include references to the testing algorithms and potential improvements, indicating a thoughtful engagement.
Impact
Moderate level of impactThe discussions highlight the importance of accurate HIV testing, suggesting a meaningful impact on healthcare practices.
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Evaluating the Effectiveness of Nigeria's HIV Rapid Testing Algorithm
The Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) in 2018 assessed the performance of the national HIV rapid testing algorithm, revealing a high false-positive rate of 55%. The study tested nearly 205,000 people and confirmed HIV status with additional tests, highlighting the need for improved testing protocols.
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Hetal K. Patel et al conducted retrospective analysis of the performance of HIV rapid tests and the national HIV testing algorithm used in Nigeria. https://t.co/OGgrzZwzdv https://t.co/XqIiCtdtYE
view full postAugust 4, 2022
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Abstract Synopsis
- The Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS) conducted in 2018 evaluated how well the national HIV rapid testing algorithm works, finding that it has a high false-positive rate of around 55%, which affects the accuracy of HIV diagnosis.
- The survey tested nearly 205,000 participants and confirmed HIV status using additional tests like Geenius HIV1/2 and Western blot, revealing that about 95% of those initially identified as HIV-positive by the algorithm truly had HIV, but there was significant inconsistency between the initial rapid tests.
- The study suggests that the current testing method in Nigeria may lead to misdiagnosis, highlighting the need for further evaluation and possible improvements to the HIV testing protocols to ensure more accurate diagnosis in routine HIV testing services.]
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