Pediatric HIV Case Identification Across 22 PEPFAR-Supported Countries During the COVID-19 Pandemic, October 2019-September 2020.

During 2020, an estimated 150,000 persons aged 0-14 years acquired HIV globally (1). Case identification is the first step to ensure children living with HIV are linked to life-saving treatment, achieve viral suppression, and live long, healthy lives. Successful interventions to optimize pediatric HIV testing during the COVID-19 pandemic are needed to sustain progress toward achieving Joint United Nations Programme on HIV/AIDS (UNAIDS) 95-95-95 targets.* Changes in HIV testing and diagnoses among persons aged 1-14 years (children) were assessed in 22 U.S. President's Emergency Plan for AIDS Relief (PEPFAR)-supported countries during October 1, 2019-September 30, 2020. This period corresponds to the two fiscal quarters before the COVID-19 pandemic (i.e., Q1 and Q2) and the two quarters after the pandemic began (i.e., Q3 and Q4). Testing was disaggregated by age group, testing strategy, and fiscal year quarter. During October 2019-September 2020, PEPFAR supported 4,312,343 HIV tests and identified 74,658 children living with HIV (CLHIV). The number of HIV tests performed was similar during Q1 and Q2, decreased 40.1% from Q2 to Q3, and increased 19.7% from Q3 to Q4. The number of HIV cases identified among children aged 1-14 years (cases identified) increased 7.4% from Q1 to Q2, decreased 29.4% from Q2 to Q3, and increased 3.3% from Q3 to Q4. Although testing in outpatient departments decreased 21% from Q1 to Q4, testing from other strategies increased during the same period, including mobile testing by 38%, facility-based index testing (offering an HIV test to partners and biological children of persons living with HIV) by 8%, and testing children with signs or symptoms of malnutrition within health facilities by 7%. In addition, most tests (61.3%) and cases identified (60.9%) were among children aged 5-14 years (school-aged children), highlighting the need to continue offering HIV testing to older children. These findings provide important information on the most effective strategies for identifying CLHIV during the COVID-19 pandemic. HIV testing programs should continue to use programmatic, surveillance, and financial data at both national and subnational levels to determine the optimal mix of testing strategies to minimize disruptions in pediatric case identification during the COVID-19 pandemic.

Adapting strategies for effective and efficient pediatric HIV case finding in low prevalence countries: risk screening tool for testing children presenting at high-risk entry points in Ethiopia.

BACKGROUND: Implementing effective and efficient case-finding strategies is crucial to increasing pediatric antiretroviral therapy coverage. In Ethiopia, universal HIV testing is conducted for children presenting at high-risk entry points including malnutrition treatment, inpatient wards, tuberculosis (TB) clinics, index testing for children of positive adults, and referral of orphans and vulnerable children (OVC); however, low positivity rates observed at inpatient, malnutrition and OVC entry points warrant re-assessing current case-finding strategies. The aim of this study is to develop HIV risk screening tool applicable for testing children presenting at inpatient, malnutrition and OVC entry points in low-HIV prevalence settings. METHODS: The study was conducted from May 2017-March 2018 at 29 public health facilities in Amhara and Addis Ababa regions of Ethiopia. All children 2-14 years presenting to five high-risk entry points including malnutrition treatment, inpatient wards, tuberculosis (TB) clinics, index testing for children of positive adults, and referral of orphans and vulnerable children (OVC) were enrolled after consent. Data were collected from registers, medical records, and caregiver interviews. Screening tools were constructed using predictors of HIV positivity as screening items by applying both logistic regression and an unweighted method. Sensitivity, specificity and number needed to test (NNT) to identify one new child living with HIV (CLHIV) were estimated for each tool. RESULTS: The screening tools had similar sensitivity of 95%. However, the specificities of tools produced by logistic regression methods (61.4 and 65.6%) which are practically applicable were higher than those achieved by the unweighted method (53.6). Applying these tools could result in 58‒63% reduction in the NNT compared to universal testing approach while maintaining the overall number of CLHIV identified. CONCLUSION: The screening tools developed using logistic regression method could significantly improve HIV testing efficiency among children presenting to malnutrition, inpatient, and OVC entry points in Ethiopia while maintaining case identification. These tools are simplified to practically implement and can potentially be validated for use at various entry points. HIV programs in low-prevalence countries can also further investigate and optimize these tools in their settings.

Rates of confirmatory HIV testing, linkage to HIV services, and rapid initiation of antiretroviral treatment among newly diagnosed children living with HIV in Ethiopia: perspectives from caregivers and healthcare workers.

BACKGROUND: Successful linkage to HIV services and initiation of antiretroviral treatment (ART) for children living with HIV (CLHIV) is critical to improve pediatric ART coverage. We aimed to assess confirmatory testing, linkage, and rapid ART initiation among newly diagnosed CLHIV in Ethiopia from the perspectives of caregivers and healthcare workers (HCWs). METHODS: We conducted standardized surveys with HCWs and caregivers of children 2-14 years who were diagnosed with HIV but not yet on ART who had been identified during a cross-sectional study in Ethiopia from May 2017-March 2018. Eight health facilities based on their HIV caseload and testing volume and 21 extension sites were included. Forty-one children, 34 care givers and 40 healthcare workers were included in this study. Three months after study enrollment, caregivers were surveyed about timing and experiences with HIV service enrollment, confirmatory testing, and ART initiation. Data collected from HCWs included perceptions of confirmatory testing in CLHIV before ART initiation. SPSS was used to conduct descriptive statistics. RESULTS: The majority of the 41 CLHIV were enrolled to HIV services (n = 34, 83%) and initiated ART by three months (n = 32, 94%). Median time from diagnosis to ART initiation was 12 days (interquartile range 5-18). Five children died before the follow-up interview. Confirmatory HIV testing was conducted in 34 children and found no discordant results; the majority (n = 23, 68%) received it within one week of HIV diagnosis. Almost all HCWs (n = 39/40, 98%) and caregivers (n = 31/34, 91%) felt better/the same about test results after conducting confirmatory testing. CONCLUSION: Opportunities remain to strengthen linkage for newly diagnosed CLHIV in Ethiopia through intensifying early follow-up to ensure prompt confirmatory testing and rapid ART initiation. Additional services could help caregivers with decision-making around treatment initiation for their children.

Pediatric and adolescent HIV viral load coverage and suppression rates in the context of the COVID-19 pandemic in 12 PEPFAR-supported sub-Saharan African countries in 2019 and 2020.

The early period of the COVID-19 pandemic limited access to HIV services for children and adolescents living with HIV (C/ALHIV). To determine progress in providing care and treatment services, we describe viral load coverage (VLC) and suppression (VLS) (<1000 copies/ mL) rates during the COVID-19 pandemic in 12 United States President's Emergency Plan for AIDS Relief (PEPFAR)-supported countries. Data for children (0-9 years) and adolescents (10-19 years) on VLC and VLS were analyzed for 12 sub-Saharan African (SSA) countries between 2019 (pre-COVID-19) and 2020 (during COVID-19). We report the number of viral load (VL) tests, and percent change in VLC and VLS for patients on ART. For 12 countries, 181,192 children had a VL test during the pre-COVID-19 period compared with 177,683 December 2020 during COVID-19. VLC decreased from 68.8% to 68.3% overall. However, 9 countries experienced an increase ranging from a 0.7%-point increase for Tanzania and Zimbabwe to a 15.3%-point increase for Nigeria. VLS increased for all countries from 71.2% to 77.7%. For adolescents the number with a VL test increased from 377,342 to 402,792. VLC decreased from 77.4% to 77.1%. However, 7 countries experienced an increase ranging from 1.8% for Mozambique to 13.8% for Cameroon. VLS increased for all countries from 76.8% to 83.8%. This analysis shows variation in HIV VLC across 12 SSA countries. VLS consistently improved across all countries demonstrating resilience of countries during 2020. Countries should continue to improve clinical outcomes from C/ALHIV despite service disruptions that may occur during pandemic response.

Finding Children Living With HIV in Low-prevalence Countries: HIV Prevalence and Testing Yield From 5 Entry Points in Ethiopia.

BACKGROUND: Limited data in low HIV prevalence settings such as Ethiopia limit policy development and implementation of optimized pediatric testing approaches to close the treatment gap. This study aimed to determine HIV prevalence, testing yield and factors associated with HIV among children at 5 entry points. METHODS: We conducted a cross-sectional study from May 2017 to March 2018 in 29 public health facilities in Amhara and Addis Ababa regions in Ethiopia. Children 2-14 years were enrolled through 5 entry points. Data were obtained from registers, medical records and interviews with caregivers. HIV prevalence and testing yields were calculated for each entry point. Mixed-effects logistic regression analysis identified factors associated with undiagnosed HIV. RESULTS: The study enrolled 2166 children, of whom 94 were HIV positive (40 newly diagnosed). HIV prevalence and testing yield were the highest among children of HIV-positive adults (index testing; 8.2% and 8.2%, respectively) and children presenting to tuberculosis clinics (7.9% and 1.8%) or with severe malnutrition (6.5% and 1.4%). Factors associated with undiagnosed HIV included tuberculosis or index entry point [adjusted odds ratio (aOR), 11.97; 95% CI 5.06-28.36], deceased mother (aOR 4.55; 95% CI 1.30-15.92), recurrent skin problems (aOR 17.71; 95% CI 7.75-40.43), severe malnutrition (aOR 4.56; 95% CI 2.04-10.19) and urban residence (aOR 3.47; 95% CI 1.03-11.66). CONCLUSIONS: Index testing is a critical strategy for pediatric case finding in Ethiopia. Strategies and resources can prioritize minimizing missed opportunities in implementing universal testing for very sick children (tuberculosis, severe malnutrition) and implementing targeted testing in other entry points through use of factors associated with HIV.