Socio-Behavioural Barriers to Viral Suppression in the Older Adult Population in Rural South Africa.

South Africa has the largest share of people living with HIV in the world and this population is ageing. The social context in which people seek HIV care is often ignored. Apart from clinical interventions, socio-behavioural factors impact successful HIV care outcomes for older adults living with HIV. We use cross-sectional data linked with demographic household surveillance data, consisting of HIV positive adults aged above 40, to identify socio-behavioural predictors of a detectable viral load. Older adults were more likely to have a detectable viral load if they did not disclose their HIV positive status to close family members (aOR 2.56, 95% CI 1.89-3.46), resided in the poorest households (aOR 1.98, 95% CI 1.23-3.18), or were not taking medications other than ART (aOR 1.83, 95% CI 1.02-1.99) likely to have a detectable. Clinical interventions in HIV care must be supported by understanding the socio-behavioural barriers that occur outside the health facility. The importance of community health care workers in bridging this gap may offer more optimum outcomes for older adults ageing with HIV.

Risk factors for unsuppressed viral load after intensive adherence counseling among HIV infected persons in Kampala, Uganda: a nested case-control study.

BACKGROUND: Intensive adherence counseling (IAC) is the global standard of care for people living with human immunodeficiency virus (PLHIV) who have unsuppressed VL after ≥ 6 months of first-line anti-retroviral therapy (ART). We investigated whether the number of IAC sessions is associated with suppressed VL among PLHIV in Kampala, Uganda. METHODS: We conducted a nested case-control study among PLHIV with unsuppressed VL after ≥ 3 IAC sessions (cases) and a 2:1 random sample of PLHIV with suppressed VL after ≥ 3 IAC sessions (controls). Unsuppressed VL was defined as VL ≥ 1000 copies/ml. We performed multivariable logistic regression to identify factors that differed significantly between cases and controls. RESULTS: Demographic and clinical characteristics were similar among the 16 cases and 32 controls including mean age, sex, baseline CD4 count, VL before IAC, and WHO clinical stage. Only the number of IAC sessions differed significantly between cases and controls in unadjusted (p = 0.012) and adjusted (p = 0.016) analyses. Each unit increase in IAC session was associated with unsuppressed VL (Adjusted odds ratio 5.09; 95% CI 1.35-19.10). CONCLUSIONS: VL remained unsuppressed despite increasing IAC frequency. The fidelity to standardized IAC protocol besides drug resistance testing among PLHIV with unsuppressed VL before IAC commencement should be examined.

Viral load detection and management on first line ART in rural Rwanda.

BACKGROUND: To achieve the ambitious 90-90-90 UNAIDS targets, access to routine viral load (VL) is critical. To measure VL, Rwanda has relied on a national reference laboratory for years. In 2014, a VL testing platform was implemented in a rural District in the Northern Province. Here we analyze the uptake of VL testing, identification of risks for detectable VL (≥1000 copies/ml), and the management of patients with a detectable VL. METHODS: A retrospective cohort study of patients who started ART between July 2012 and June 2015 and followed until end December 2016. Using descriptive statistics, we describe the VL cascade, from VL uptake to the start of second-line ART in patients diagnosed with virological failure. We estimate predictors of having a detectable VL using logistic regression. RESULTS: The uptake of VL testing increased progressively between 2013 and 2016, raising from 25.6% (39/152) in 2013 up to 93.2% (510/547) in 2016.In 2016, 88.5% (n = 451) of patients tested, had a suppressed VL. Predictors of having a detectable VL included being male (aOR 2.1; 95%CI 1.12-4.02; p = 0.02), being a sex worker (aOR 6.4; 95%CI 1.1-36.0; p = 0.04), having a WHO clinical stage IV when starting ART (aOR 8.8; 95%CI 1.8-43.0; p < 0.001), having had a previous detectable VL (aOR 7.2; 95%CI 3.5-14.5; p < 0.001), and having had no VL before 2016 (aOR 3.1; 95%CI 1.2-8.1; p = 0.02). Among patients with initial detectable VL between 2013 and 2016, 88% (n = 103) had a follow-up VL, of whom 60.2% (n = 62) suppressed their VL below 1000 copies/ml. The median time between the initial and follow-up VL was of 12.5 months (IQR: 8.7-19.0). Among patients with confirmed treatment failure, 63.4% (n = 26) started second-line ART within the study period. CONCLUSION: VL uptake increased after decentralizing VL testing in rural Rwanda. Virological suppression was high. An individualized follow up of patients at risk of non-suppression and a prompt management of patients with detectable VL may help to achieve and sustain the third global UNAIDS target: virological suppression in 90% of patients on ART.

Low HIV viral suppression rates following the intensive adherence counseling (IAC) program for children and adolescents with viral failure in public health facilities in Uganda.

BACKGROUND: The UNAIDS 90-90-90 strategy clearly stipulates that 90% of all people on antiretroviral therapy (ART) should have a suppressed viral load. Intensified adherence counselling (IAC) was recently recommended by WHO to improve viral suppression among ART-treated paediatric and adolescent clients with virological failure. This paper describes the implementation and outcomes of IAC in the first year of implementation in a public ART program, to inform strategic interventions to reach the "third 90" among children. METHODS: A retrospective chart review was conducted for all children aged 9 months to 19 years with HIV viral loads (VL) ≥ 1000 copies/ml at 15 public health facilities from June 2015-December 2016. Data on initial VL test results, IAC sessions, repeat VL test results, and ART regimen switch were abstracted and analysed for completion of IAC and viral suppression after IAC. RESULTS: A total of 449 children had a detectable viral load above 1000 copies/ml, after an average of 3.5 years (SD 5.8) years of ART. 192 (43%) were 10-20 years of age, and 320 (71%) were receiving Nevirapine-based ART regimen. Out of 345 (77%) who completed the recommended three IAC sessions, 62 (23%) achieved viral suppression following IAC. The mean time from 1st to 3rd IAC session was 113 (SD 153) days and 172 (50%) of the children had completed the three sessions within 200 days. CONCLUSION: Suppression rates were low among ART-treated children with virological failure that completed the recommended three IAC sessions. As we move towards having 90% of ART-treated children and adolescents achieve and maintain viral suppression, there is need to re-evaluate the implementation of IAC among children and adolescents to consider both psychosocial and biological factors such as resistance testing for those with multiple detectable viral loads.

Which adherence measure - self-report, clinician recorded or pharmacy refill - is best able to predict detectable viral load in a public ART programme without routine plasma viral load monitoring?

OBJECTIVE: Combination antiretroviral therapy (cART) suppresses viral replication to an undetectable level if a sufficiently high level of adherence is achieved. We investigated which adherence measurement best distinguishes between patients with and without detectable viral load in a public ART programme without routine plasma viral load monitoring. METHOD: We randomly selected 870 patients who started cART between May 2009 and April 2012 in 10 healthcare facilities in Addis Ababa, Ethiopia. Six hundred and sixty-four (76.3%) patients who were retained in HIV care and were receiving cART for at least 6 months were included and 642 had their plasma HIV-1 RNA concentration measured. Patients' adherence to cART was assessed according to self-report, clinician recorded and pharmacy refill measures. Multivariate logistic regression model was fitted to identify the predictors of detectable viremia. Model accuracy was evaluated by computing the area under the receiver operating characteristic (ROC) curve. RESULT: A total of 9.2% and 5.5% of the 642 patients had a detectable viral load of ≥40 and ≥400 RNA copies/ml, respectively. In the multivariate analyses, younger age, lower CD4 cell count at cART initiation, being illiterate and widowed, and each of the adherence measures were significantly and independently predictive of having ≥400 RNA copies/ml. The ROC curve showed that these variables altogether had a likelihood of more than 80% to distinguish patients with a plasma viral load of ≥400 RNA copies/ml from those without. CONCLUSION: Adherence to cART was remarkably high. Self-report, clinician recorded and pharmacy refill non-adherence were all significantly predictive of detectable viremia. The choice for one of these methods to detect non-adherence and predict a detectable viral load can therefore be based on what is most practical in a particular setting.

Detectable Virological Load and Associated Factors among People Living with HIV on Antiretroviral Treatment: A Retrospective Study.

The complete and prolonged suppression of viral load is the primary objective of HAART in people living with HIV. Some people may experience therapeutic failure, while others may achieve virological suppression but are unable to maintain it, developing persistent or single detection of low-level viremia. This study aims to evaluate the determinants of a detectable viral load among patients on HAART to identify and address them promptly. In this retrospective study, all patients referring to the Infectious Disease Operative Unit of the Vito Fazzi Hospital in Lecce, Puglia, older than 18 years, receiving HAART for at least 12 months as of 30 June 2022, were included. For each patient, demographic characteristics such as age, sex, educational level, stable relationship, cohabitation, employment status, and information relating to habits and lifestyles such as physical activity, use of drugs, and substances or supplements for sport, abuse of alcohol, and smoking were collected. Degree of comorbidity was quantified according to the Charlson Comorbidity Index, and the presence of obesity and the COVID-19 infection was also considered. Univariable and multivariable logistic regression models were used to assess the association between patients' characteristics and the outcome. In the multivariable logistic regression model, the odds were lower for the duration of therapy (OR: 0.96; p = 0.0397), prescriber's perception of adherence to therapy (OR: 0.50; p < 0.0001), and Nadir CD4+ T-cell count (OR: 0.85; p = 0.0329), and higher for the presence of AIDS (OR: 1.89; p = 0.0423) and COVID-19 (OR: 2.31; p = 0.0182). Our findings support the early initiation of HAART to achieve virological suppression. Additionally, measures to improve adherence to therapy should be adopted to ensure better outcomes for patients.

Barriers and facilitators to viral load suppression among people living with HIV following intensive adherence counseling in Kampala, Uganda: A qualitative study.

We explored the barriers and facilitators to viral load (VL) suppression after three or more intensive adherence counseling (IAC) sessions among adolescents and adults living with human immunodeficiency virus (HIV) on a first-line anti-retroviral therapy (ART) with initially unsuppressed VL in Kampala, Uganda. Using a qualitative study, data were collected through in-depth interviews with people living with HIV (PLHIV) with unsuppressed and suppressed VL and caregivers of younger adolescents living with HIV after three or more IAC sessions. We held key informant interviews with health workers involved in IAC implementation, namely ART/HIV focal persons, IAC Team Leaders, and linkage facilitators. Guided by the socioecological model, we performed content analysis and reported the findings using themes along with the participants' quotes. We studied 24 participants and found the individual-level barriers as forgetting to take HIV medications, high pill burden, medication side effects, a lack of food, and HIV-related psychological distress. Undisclosed HIV status and broken families were the barriers at the interpersonal level. Institutional-level barriers included insufficient HIV and ART counseling. Stigma was considered a community-level barrier while nonadherence to HIV treatment guidelines was a policy-level barrier. Facilitators included personal reminders, knowing the importance of taking treatment, and the ability to deal with side effects of HIV medications at the personal level; treatment support, peer support clubs, and incentivized treatment at the interpersonal level; and mental health support club and explaining during counseling that HIV is a chronic disease at the institutional level. We found an unsuppressed VL after completing IAC was due to several barriers at the personal, interpersonal, health systems, community, and policy levels. Achieving ≥95% VL suppression necessitates tackling the barriers to VL suppression and scaling up the facilitators by HIV control programs.

Poor adherence to antiretroviral therapy among adult people living with HIV initiated during the COVID-19 epidemic waves - observations at the University Teaching Hospital in Lusaka, Zambia.

Background: Coronavirus disease 2019 (COVID-19)-related disruptions in healthcare services and clinical outcomes have been predicted and documented. However, little is known about how antiretroviral therapy (ART) adherence disruptions caused by the COVID-19 pandemic have manifested amidst the 'Undetectable = Untransmittable' campaign initiative. Using a patient's viral load as a proxy for medication adherence, our study aimed to determine the adherence to ART on first-line medications among adult people living with human immunodeficiency virus (PLWHIV) at the University Teaching Hospital in Lusaka, Zambia during the pandemic. Methods: This was a hospital-based cross-sectional study. Secondary data of PLWHIV registered to receive ART from the Adult Infectious Disease Centre was extracted from the SmartCare® electronic health record system to constitute a resultant data set that this study used. The data extraction form was used to extract values of dependent (ART adherence measured by viral load detectability) and independent variables and imported them into the statistical analysis tool, STATA version 16.1 MP. Descriptive statistics of individual characteristics, testing for associations using Pearson's chi-square test, and stratified and combined multivariable logistic regression were performed. Results: Of the 7,281 adult PLWHIV included in this study, 9.0% (95% CI 8.3-9.6%) were virally detectable. Estimates of the odds ratios of detectable viral load remained significantly higher among adult PLWHIV who were initiated on ART after the U=U campaign was launched in Zambia and were on a monthly 2.51 (1.31-9.03) or 6-monthly 4.75 (3.52-6.41) dispensing of a dolutegravir-based regimen and those on 6-monthly dispensing of an efavirenz-based regimen 4.67 (2.16-10.08) compared to their counterparts. Overall estimates showed us the same picture 4.14 (3.22-5.31), having adjusted for all other predictor variables. Conclusion: We found that a high proportion of people with detectable viral load in the study population, irrespective of medication refill interval and type of regimen, was concentrated among adult PLWHIV who started treatment during the COVID-19 epidemic waves, as compared to those who started treatment before the pandemic. This observed disparity suggests the inherent impact of the pandemic on the adherence to ART among adult PLWHIV in Lusaka, Zambia. This further illustrates how exposed program responses are to external shocks, especially in already weakened health systems, and the need to create program response buffers and resilient program-specific strategies to minimize the effect of external disruptions.

Predictive Factors of Detectable Viral Load in HIV-Infected Patients.

Despite availability of effective antiretroviral therapy (ART), many HIV patients still have a detectable viral load (VL). Predictive factors of detectable VL are not well documented. This study was done at two large multidisciplinary HIV outpatient clinics at the Centre hospitalier de l'Université de Montréal (CHUM) and the McGill University Health Centre (MUHC). This is a retrospective case-control study of patients treated between 2016 and 2018. Cases had a VL ≥50 copies/mL in 2018. Controls had an undetectable VL from 2016 to 2018. Matching was based on gender and year of HIV diagnosis. Primary objective was to identify predictive factors of detectable VL. Secondary objectives included to identify predictive factors of virologic failure, low persistent viremia, and viral blip. A forward stepwise model selection by the Akaike Information Criterion of the conditional logistic regression was used to identify predictive factors. Two hundred cases were identified and matched with 200 controls. The cohort was mostly male (68.0%) with a median age of 54 years (21-83 years). Among cases, viral blip was the most common type of detectable VL (43.0%). The strong predictive factors for a detectable VL were adherence to ART and seeking health care services. Asylum seekers were less at risk of detectable VL. Adherence to ART was the only strong predictive factor for virologic failure. Three main predictive factors of detectable VL were identified in two ambulatory clinic hospitals in Montreal. Ascertaining these factors will allow for identification of patients more at risk of detectable VL.

The Association Between the Social Determinants of Health and HIV Control in Miami-Dade County ZIP Codes, 2017.

BACKGROUND: There were 28,055 people living with HIV (PLWH) in Miami-Dade County (MDC) in 2017; 40.1% was either out of care or was not virally suppressed (uncontrolled HIV). The purpose of this study was to determine the association between the social determinants of health (SDOH) and the number of persons with uncontrolled HIV in MDC. SETTING: This cross-sectional study included PLWH 15 and older with uncontrolled HIV in MDC, 2017. Data on PLWH's viral load, age, gender, mode of HIV transmission, and race/ethnicity were aggregated to the ZIP code level. All five SDOH per HealthyPeople 2020 were represented: economic stability, education, social and community context, health and healthcare, and neighborhood and built environment. METHODS: Descriptive analyses on all study variables and a principal component analysis on the SDOH variables were performed. To account for overdispersion, multivariate negative binomial regressions were run while controlling for confounders and testing for significant interactions. RESULTS: The results of the regression analysis indicated that an increase in Factor 1 (economic stability, education, and health and healthcare determinants) was associated with a statistically significant increase in the number of PLWH with uncontrolled HIV. Additionally, we found a significant interaction between Factor 1 and White race. Among persons of low socioeconomic status, White race is associated with a reduction in PLWH with uncontrolled HIV. CONCLUSIONS: These results suggest that reducing poverty and increasing education and rates of health insurance should result in significant reductions in PLWH with uncontrolled HIV. These results have the potential to influence future policy, interventions for retention, adherence, and continuity of care to improve suppression rates in MDC.

The Effect of Detectable HIV Viral Load among HIV-Infected Children during Antiretroviral Treatment: A Cross-Sectional Study.

The RNA viral load of human immunodeficiency virus (HIV) is initially used to determine the status of the HIV infection. The goal of therapy following treatment failure is to achieve and maintain virologic suppression. A detectable viral load may relate to the progression of HIV infection. A cross-sectional survey was conducted from January 2013 to December 2014 at the Bamrasnaradura Infectious Diseases Institute, Thailand. The aim was to determine the prevalence of detectable HIV viral load (dVL) and analyze the factors associated with post-dVL conditions that occur independently of a switch to a new antiretroviral agent. The prevalence of dVL was 27% (27 of 101). The mean ages of dVL and non-dVL children were 12.0 and 12.3 years, respectively. Age, sex, body mass index for age z-scores, previous tuberculosis disease history and parental tuberculosis history of both groups were not significantly different (p > 0.05). The prevalence of poor adherence (<95%), influenza-like illness (ILI) and opportunistic infections were higher in dVL than non-dVL children (p < 0.05). The mean nadir CD4 cell count during the study was lower in dVL than non-dVL children (646 compared to 867, respectively; p < 0.05). Other factors were not significant (all p > 0.05). In multivariable analysis, dVL was significantly associated with ILI (odds ratio (OR) = 9.6, 95% confidence interval (CI) = 1.3-69.4), adherence (OR = 0.195, 95% CI = 0.047-0.811) and nadir CD4 during the study (OR = 1.102, 95% CI = 1.100-1.305). The prevalence of dVL was 27% with this dVL among HIV-infected children found to be associated with ILI, poor adherence and lower nadir CD4 during the study.