"Testing, Testing": Multiple HIV-Positive Tests among Patients Initiating Antiretroviral Therapy in Ethiopia

Reasons for, and factors associated with, positive HIV retesting: a cross-sectional study in Eswatini

Eswatini has a high HIV prevalence but has made progress towards improving HIV-status awareness, ART uptake and viral suppression. However, there is still a delay in ART initiation, which could partly be attributed to positive HIV-retesting. This study examines reasons for, and factors associated with, positive HIV-retesting among MaxART participants in Eswatini. Data from 601 participants is included in this cross-sectional study. Descriptive statistics and logistic regressions were used. Of the participants, 32.8% has ever retested after a previous positive result. Most participants who retested did this because they could not accept their results (61.9% of all retesters). Other main reasons are related to external influences, gender or the progression of their HIV infection (respectively 18.3%, 10.2%, and 6.1% of all retesters). Participants without a current partner and participants with less time since their first positive test have lower odds of retesting. To decrease retesting and reduce the delay in ART initiation resulting from it, efforts could be made on increasing the acceptance of positive HIV results. Providing more information on the process of testing and importance of early ART initiation, could be part of the solution.

Risk factors for late linkage to care and delayed antiretroviral therapy initiation amongst HIV infected adults in sub-Saharan Africa: a systematic review and meta-analyses

BACKGROUND

Late treatment initiation threatens the clinical and public health benefits of antiretroviral therapy (ART). Quantitative synthesises of the existing evidence related to this is lacking in sub-Saharan Africa (SSA), which would help ascertain the best evidence-based interventions. This review aimed to systematically synthesise the available literature on factors affecting linkage to care and ART initiation amongst HIV-infected adults in SSA.

METHODS

Systematic searches were undertaken on four databases to identify observational studies investigating factors affecting both HIV care outcomes amongst adults (age ≥19 years) in SSA, and were published between January 1, 2015 and June 1, 2021. RevMan-5 software was used to conduct meta-analyses and Mantel-Haenszel statistics to pool outcomes with 95% confidence interval and <0.05 level of significance.

RESULTS

Forty-six studies were included in the systematic review, of which 18 fulfilled requirements for meta-analysis. In both narrative review and meta-analyses, factors related to health care delivery, individual perception and sociodemographic circumstances were associated with late linkage to care and delays in ART initiation.

CONCLUSION

This review identified a range of risk factors for late linkage to care and delayed ART initiation amongst HIV-infected adults in SSA. We recommend implementation of patient-centred intervention approaches to alleviate these barriers.

Understanding Repeat Positive HIV Testing in South Africa Under Changing Treatment Guidelines

Some people with HIV (PWH) test positive multiple times without initiating antiretroviral therapy (ART). We surveyed 496 ART-eligible PWH following routine HIV testing at three clinics in Soweto and Gugulethu, South Africa in 2014-2015. Among repeat positive testers (RPTs) in this cohort, we compared rates of treatment initiation by prior treatment eligibility and assessed psychosocial predictors of treatment initiation in logistic regression models. RPTs represented 33.8% of PWH in this cohort. Less than half of those who reported eligibility for ART on prior testing started treatment upon retesting, in contrast to two thirds of RPTs who were previously ineligible for treatment who started treatment once they learned of their eligibility. Those who reported coping through substance use were more likely to decline treatment versus those not using substances. PWH who test repeatedly represent a vulnerable population at risk for ART non-initiation who may benefit from interventions addressing individualized coping strategies.

Pre-exposure prophylaxis (PrEP) uptake and service delivery adaptations during the first wave of the COVID-19 pandemic in 21 PEPFAR-funded countries

Background

Mitigation measures for the first wave of the COVID-19 pandemic and burden on health systems created challenges for pre-exposure prophylaxis (PrEP) service delivery. We examined PrEP uptake in PEPFAR programs before and after the start of the COVID-19 pandemic.

Methods

We studied two PEPFAR program monitoring indicators, using routine Monitoring, Evaluation, Reporting (MER) indicators capturing uptake of PrEP (PrEP_NEW) and overall use of PrEP (PrEP_CURR). We also analyzed descriptive program narratives to understand successes and challenges field teams encountered after the start of the COVID-19 pandemic. To assess changes in coverage of PrEP across 21 countries, we calculated the “PrEP to need ratio” (PnR) using a published methodology. We defined the pre-COVID time period as April 1, 2019 –March 31, 2020 and the COVID time period as April 1, 2020 –March 31, 2021.

Findings

The total number of persons who initiated PrEP increased by 157% from 233,250 in the pre-COVID-19 period compared with 599,935 in the COVID-19 period. All countries, except five, noted significant increases in PrEP uptake. PrEP uptake among adolescent girls and young women (AGYW) increased by 159% from 80,452 AGYW in the pre-COVID-19 period to 208,607 AGYW in the COVID-19 period. There were 77,430 key populations (KP) initiated on PrEP in the pre-COVID-19 period and 209,114 KP initiated in the COVID-19 period (a 170% increase). The PnR increased 214% in the COVID-19 period across all PEPFAR-supported countries. Adaptations, such as multi-month dispensing (MMD) of PrEP; virtual demand creation activities; decentralized, community-based and virtual service delivery, were implemented to maintain PrEP services.

Conclusions

PEPFAR programs continued to maintain and initiate new clients on PrEP despite the challenges posed by the COVID-19 pandemic. Adaptations such as MMD of PrEP and use of technology were vital in expanding service delivery and increasing PrEP coverage.

Funding

This project has been supported by the U.S. President’s Emergency Plan for AIDS Relief.

Treatment-adjusted prevalence to assess HIV testing programmes

Scale-up of human immunodeficiency virus (HIV) testing and antiretroviral therapy (ART) for people living with HIV has been increasing in sub-Saharan Africa. As a result, areas with high HIV prevalence are finding a declining proportion of people testing positive in their national testing programmes. In eastern and southern Africa, where there are settings with adult HIV prevalence of 12% and above, the positivity from national HIV testing services has dropped to below 5%. Identifying those in need of ART is therefore becoming more costly for national HIV programmes. Annual target-setting assumes that national testing positivity rates approximate that of population prevalence. This assumption has generated an increased focus on testing approaches which achieve higher rates of HIV positivity. This trend is a departure from the provider-initiated testing and counselling strategy used early in the global HIV response. We discuss a new indicator, treatment-adjusted prevalence, that countries can use as a practical benchmark for estimating the expected adult positivity in a testing programme when accounting for both national HIV prevalence and ART coverage. The indicator is calculated by removing those people receiving ART from the numerator and denominator of HIV prevalence. Treatment-adjusted prevalence can be readily estimated from existing programme data and population estimates, and in 2019, was added to the World Health Organization guidelines for HIV testing and strategic information. Using country examples from Kenya, Malawi, South Sudan and Zimbabwe we illustrate how to apply this indicator and we discuss the potential public health implications of its use from the national to facility level.

Reconfirming HIV serostatus in three West African Military ART clinics

BACKGROUND

HIV rapid diagnostic test (RDT) algorithms have been successfully employed worldwide to accelerate critically important HIV testing. Deviations from the algorithm and processing errors have been associated with inaccurate algorithm results. Positive RDT algorithm results should be confirmed prior to HIV clinic enrollment, but compliance varies. We sought to retest HIV status of patients in three West African military HIV clinics.

SETTING

Military HIV clinics in Lome, Togo; Freetown, Sierra Leone; and Monrovia, Liberia METHODS: Patients coming for routine HIV clinic visits were approached for enrollment. Consenting participants completed a 15-minute questionnaire and provided blood samples for both national and WHO-recommended HIV RDT algorithms, and HIV ELISA (plus HIV PCR if HIV ELISA negative).

RESULTS

In total, 817 participants provided data: 374 in Togo, 360 in Sierra Leone, and 83 in Liberia. One participant from Liberia was HIV-negative (although follow-up testing was positive). Two of 807 participants on antiretroviral treatment (ART) had inconclusive algorithms, while 2 of 10 participants not on ART had algorithms, for 4 total based on the WHO-approved algorithm. Using the national algorithms, only 3 were inconclusive. A substantial proportion of the cohort had taken ART for over 6 years (25-46%, depending on the site).

CONCLUSION

HIV RDT retesting in three military HIV clinics did not uncover significant numbers of misclassified HIV patients. There was no significant difference between national and WHO-recommended RDT algorithms, although the study was underpowered to detect a difference. Antiretroviral treatment was not associated with increased rates of inconclusive RDT algorithm results.

Trends in knowledge of HIV status and efficiency of HIV testing services in sub-Saharan Africa, 2000-20: a modelling study using survey and HIV testing programme data

BACKGROUND

Monitoring knowledge of HIV status among people living with HIV is essential for an effective national HIV response. This study estimates progress and gaps in reaching the UNAIDS 2020 target of 90% knowledge of status, and the efficiency of HIV testing services in sub-Saharan Africa, where two thirds of all people living with HIV reside.

METHODS

For this modelling study, we used data from 183 population-based surveys (including more than 2·7 million participants) and national HIV testing programme reports (315 country-years) from 40 countries in sub-Saharan Africa as inputs into a mathematical model to examine trends in knowledge of status among people living with HIV, median time from HIV infection to diagnosis, HIV testing positivity, and proportion of new diagnoses among all positive tests, adjusting for retesting. We included data from 2000 to 2019, and projected results to 2020.

FINDINGS

Across sub-Saharan Africa, knowledge of status steadily increased from 5·7% (95% credible interval [CrI] 4·6-7·0) in 2000 to 84% (82-86) in 2020. 12 countries and one region, southern Africa, reached the 90% target. In 2020, knowledge of status was lower among men (79%, 95% CrI 76-81) than women (87%, 85-89) across sub-Saharan Africa. People living with HIV aged 15-24 years were the least likely to know their status (65%, 62-69), but the largest gap in terms of absolute numbers was among men aged 35-49 years, with 701 000 (95% CrI 611 000-788 000) remaining undiagnosed. As knowledge of status increased from 2000 to 2020, the median time to diagnosis decreased from 9·6 years (9·1-10) to 2·6 years (1·8-3·5), HIV testing positivity declined from 9·0% (7·7-10) to 2·8% (2·1-3·9), and the proportion of first-time diagnoses among all positive tests dropped from 89% (77-96) to 42% (30-55).

INTERPRETATION

On the path towards the next UNAIDS target of 95% diagnostic coverage by 2025, and in a context of declining positivity and yield of first-time diagnoses, disparities in knowledge of status must be addressed. Increasing knowledge of status and treatment coverage among older men could be crucial to reducing HIV incidence among women in sub-Saharan Africa, and by extension, reducing mother-to-child transmission.

FUNDING

Steinberg Fund for Interdisciplinary Global Health Research (McGill University); Canadian Institutes of Health Research; Bill & Melinda Gates Foundation; Fonds the recherche du Québec-Santé; UNAIDS; UK Medical Research Council; MRC Centre for Global Infectious Disease Analysis; UK Foreign, Commonwealth & Development Office.

Barriers and Facilitators of Same-Day Antiretroviral Therapy Initiation Among People Newly Diagnosed with HIV in Ethiopia: Qualitative Study Using the Transtheoretical Model of Behavioral Change

Purpose

HIV test and treat approach is currently a strategy used as a part of the prevention and control program in Ethiopia. The strategy adopts initiating antiretroviral therapy (ART) on the same-day as HIV diagnosis or in the next visit. However, there is little evidence on barriers and facilitators of same-day (ART) initiation in Ethiopia. Therefore, this study aimed to investigate barriers and facilitators of same-day (ART) initiation in the northwest Ethiopia.

Patients and Methods

A qualitative study was conducted in East Gojjam Zone in northwest Ethiopia. Purposively selected HIV patients, healthcare workers, and treatment assistants participated in the qualitative study. Data were collected through in-depth interviews and focus group discussions (FGDs). Coding was done via ATLAS.ti software thematically. The interviews and FGDs were conducted in Amharic (local language) and then transcribed verbatim and translated into English. Coding was done via ATLAS.ti software. The thematic analysis approach was employed using the constructs of the transtheoretical behavioral model (TTM) to show stages of change that newly HIV diagnosed experienced in the course of preparation for treatment initiation.

Results

A total of 19 patients, 12 treatment supporters, and 9 healthcare workers participated in the qualitative study. Shocking due to the test result, having no symptoms, mistrust of the test result, and seeking spiritual healing from holy water were the major barriers to start ART in the same-day of diagnosis or within the next visit.

Conclusion

During HIV diagnosis, more barriers were observed in the early stages, while treatment facilitators emerged in the later stages of TTM. The TTM model can be applied to characterize where participants were in the stages of change.

Understanding Engagement in HIV Programmes: How Health Services Can Adapt to Ensure No One Is Left Behind

PURPOSE OF REVIEW

Despite the significant progress in the HIV response, gaps remain in ensuring engagement in care to support life-long medication adherence and viral suppression. This review sought to describe the different points in the HIV care cascade where people living with HIV were not engaging and highlight promising interventions.

RECENT FINDINGS

There are opportunities to improve engagement both between testing and treatment and to support re-engagement in care for those in a treatment interruption. The gap between testing and treatment includes people who know their HIV status and people who do not know their status. People in a treatment interruption include those who interrupt immediately following initiation, early on in their treatment (first 6 months) and late (after 6 months or more on ART). For each of these groups, specific interventions are required to support improved engagement. There are diverse needs and specific populations of people living with HIV who are not engaged in care, and differentiated service delivery interventions are required to meet their needs and expectations. For the HIV response to realise the 2030 targets, engagement will need to be supported by quality care and patient choice combined with empowered patients who are treatment literate and have been supported to improve self-management.

Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda

Background

National or regional population-based HIV prevalence surveys have small sample sizes at district or sub-district levels; this leads to wide confidence intervals when estimating HIV prevalence at district level for programme monitoring and decision making. Health facility programme data, collected during service delivery is widely available, but since people self-select for HIV testing, HIV prevalence estimates based on it, is subject to selection bias. We present a statistical annealing technique, Hybrid Prevalence Estimation (HPE), that combines a small population-based survey sample with a facility-based sample to generate district level HIV prevalence estimates with associated confidence intervals.

Methods

We apply the HPE methodology to combine the 2011 Uganda AIDS indicator survey with the 2011 health facility HIV testing data to obtain HIV prevalence estimates for districts in Uganda. Multilevel logistic regression was used to obtain the propensity of testing for HIV in a health facility, and the propensity to test was used to combine the population survey and health facility HIV testing data to obtain the HPEs. We assessed comparability of the HPEs and survey-based estimates using Bland Altman analysis.

Results

The estimates ranged from 0.012 to 0.178 and had narrower confidence intervals compared to survey-based estimates. The average difference between HPEs and population survey estimates was 0.00 (95% CI: − 0.04, 0.04). The HPE standard errors were 28.9% (95% CI: 23.4–34.4) reduced, compared to survey-based standard errors. Overall reduction in HPE standard errors compared survey-based standard errors ranged from 5.4 to 95%.

Conclusions

Facility data can be combined with population survey data to obtain more accurate HIV prevalence estimates for geographical areas with small population survey sample sizes. We recommend use of the methodology by district level managers to obtain more accurate HIV prevalence estimates to guide decision making without incurring additional data collection costs.

Methods, outcomes, and costs of a 2.5 year comprehensive facility-and community-based HIV testing intervention in Bukoba Municipal Council, Tanzania, 2014-2017

To diagnose ≥90% HIV-infected residents (diagnostic coverage), the Bukoba Combination Prevention Evaluation (BCPE) implemented provider-initiated (PITC), home- (HBHTC), and venue-based (VBHTC) HIV testing and counseling (HTC) intervention in Bukoba Municipal Council, a mixed urban and rural lake zone community of 150,000 residents in Tanzania. This paper describes the methods, outcomes, and incremental costs of these HTC interventions. PITC was implemented in outpatient department clinics in all eight public and three faith-based health facilities. In clinics, lay counselors routinely screened and referred eligible patients for HIV testing conducted by HTC-dedicated healthcare workers. In all 14 wards, community teams offered HTC to eligible persons encountered at 31,293 home visits and at 79 male- and youth-frequented venues. HTC was recommended for persons who were not in HIV care or had not tested in the prior 90 days. BCPE conducted 133,695 HIV tests during the 2.5 year intervention (PITC: 88,813, 66%; HBHTC: 27,407, 21%; VBHTC: 17,475, 13%). Compared with other strategies, PITC conducted proportionally more tests among females (65%), and VBHTC conducted proportionally more tests among males (69%) and young-adults aged 15-24 years (42%). Of 5,550 (4.2% of all tests) HIV-positive tests, 4,143 (75%) clients were newly HIV diagnosed, including 1,583 males and 881 young adults aged 15-24 years. Of HIV tests conducted 3.7%, 1.8%, and 2.1% of PITC, HBHTC, and VBHTC clients, respectively, were newly HIV diagnosed; PITC accounted for 79% of all new diagnoses. Cost per test (per new diagnosis) was $4.55 ($123.66), $6.45 ($354.44), and $7.98 ($372.67) for PITC, HBHTC, and VBHTC, respectively. In a task-shifting analysis in which lay counselors replaced healthcare workers, estimated costs per test (per new diagnosis) would have been $3.06 ($83.15), $ 4.81 ($264.04), and $5.45 ($254.52), for PITC, HBHTC, and VBHTC, respectively. BCPE models reached different target groups, including men and young adults, two groups with consistently low coverage. Implementation of multiple models is likely necessary to achieve ≥90% diagnostic coverage.

Depression and Anxiety as Risk Factors for Delayed Care-Seeking Behavior in Human Immunodeficiency Virus-Infected Individuals in South Africa

Background

Facility- and community-based efforts to improve human immunodeficiency virus (HIV) testing in sub-Saharan Africa may benefit from understanding how mental health influences HIV care-seeking behavior.

Methods

We conducted a study among adults presenting for HIV testing in the Umlazi township of South Africa. Prior to testing, we measured depression using the 9-item Patient Health Questionnaire and anxiety using the 7-item Generalized Anxiety Disorder scale. We categorized patients as delayed presenters (presenting to clinic >3 months after first HIV-positive test), late testers (presenting within 3 months of diagnosis with a CD4 count ≤200 cells per µL), or neither. We used multinomial logistic regression adjusting for sociodemographic and behavioral characteristics to determine the effects of depression and anxiety on HIV care-seeking behavior.

Results

Among 1482 HIV-infected adults, 59% were female and mean age was 33 years. The prevalence of depression in the cohort was 33% and anxiety was 9%. In adjusted models, mild to moderate depression was not associated with delayed presentation or late testing. HIV-infected adults with severe depression had 3.6 greater odds (95% confidence interval [CI], 1.2-10.2) of delayed presentation and 2.2 greater odds (95% CI, 1.01-4.8) of late testing compared with those without depression. Individuals with generalized anxiety had 2.3 greater odds (95% CI, 1.3-4.2) of delayed presentation compared with those without anxiety.

Conclusions

Severe depression was associated with delayed presentation and late testing, while anxiety was associated only with delayed presentation. Screening for mental health services may improve antiretroviral therapy initiation and linkage to care following HIV testing.