Antiretroviral treatment attrition in Swaziland: a population-based study

Antiretroviral therapy programme outcomes at Senkatana antiretroviral therapy clinic, Lesotho: a four-year retrospective cohort study

Introduction

sub-Saharan Africa, home to over 10% of the world´s population, is the worst Human Immunodeficiency Virus (HIV)-affected region in the world. HIV/AIDS is a major public health challenge in Lesotho, with an HIV prevalence of 25.6% in 2018. The aim of this study was to evaluate the treatment outcomes of people living with HIV (PLHIV) on antiretroviral therapy (ART) after 48 months of initiation.

Methods

we conducted a register-based retrospective cohort study for all patients registered at the Senkatana ART Clinic from January to December 2014 and followed them for 48 months until 2018. The ART treatment register and treatment cards were the primary source of data. Data were captured and cleaned in Epi info version 7 and exported into Stata version 14 for analysis. Descriptive statistics were used to describe participant characteristics. Due to the lack of incident data, the factors associated with treatment outcomes were determined using Chi-square tests and logistic regression.

Results

in 2014, 604 patients were enrolled on ART, of which the majority were female (59.4%) and married (54.8%). The mean age (standard deviation (SD)) at which ART was started was 36 years (10.5) years. After 48 months of initiation, the cohort consisted of 387 patients of which 365 (94.3%) were retained on treatment. In the multivariable logistic regression model, neither demographic characteristics nor clinical factors were associated with ART treatment outcome (viral load suppression, adherence, or ART retention), however, the univariable analysis showed that higher CD4 count at initiation was associated with viral load suppression.

Conclusion

retention, viral load suppression, and adherence were generally good in this cohort after 48 months of initiation. CD4 at initiation was a significant predictor of viral load suppression at 48 months. The ART programme has managed to maintain high viral load suppression and improve immunity in patients who are immunocompromised. Proper data quality management is required for adequate patient monitoring to enable clinical personnel to record and use individual patient data for guiding the clinical management of such patients. Strengthening patient support and tracing will help to reduce the number of patients lost to follow-up.

Incidence and predictors of attrition among patients receiving ART in eastern Zimbabwe before, and after the introduction of universal 'treat-all' policies: A competing risk analysis

As HIV treatment is expanded, attention is focused on minimizing attrition from care. We evaluated the impact of treat-all policies on the incidence and determinants of attrition amongst clients receiving ART in eastern Zimbabwe. Data were retrospectively collected from the medical records of adult patients (aged≥18 years) enrolled into care from July 2015 to June 2016-pre-treat-all era, and July 2016 to June 2017-treat-all era, selected from 12 purposively sampled health facilities. Attrition was defined as an absence from care >90 days following ART initiation. Survival-time methods were used to derive incidence rates (IRs), and competing risk regression used in bivariate and multivariable modelling. In total, 829 patients had newly initiated ART and were included in the analysis (pre-treat-all 30.6%; treat-all 69.4%). Incidence of attrition (per 1000 person-days) increased between the two time periods (pre-treat-all IR = 1.18 (95%CI: 0.90-1.56) versus treat-all period IR = 1.62 (95%CI: 1.37-1.91)). In crude analysis, patients at increased risk of attrition were those enrolled into care during the treat-all period, <34 years of age, WHO stage I at enrolment, and had initiated ART on the same day as HIV diagnosis. After accounting for mediating clinical characteristics, the difference in attrition between the pre-treat-all, and treat-all periods ceased to be statistically significant. In a full multivariable model, attrition was significantly higher amongst same-day ART initiates (aSHR = 1.47, 95%CI:1.05-2.06). Implementation of treat-all policies was associated with an increased incidence of ART attrition, driven largely by ART initiation on the same day as HIV diagnosis which increased significantly in the treat all period. Differentiated adherence counselling for patients at increased risk of attrition, and improved access to clinical monitoring may improve retention in care.

Risk factors for loss to follow-up from antiretroviral therapy programmes in low-income and middle-income countries

INTRODUCTION

Loss to follow-up (LTFU) rates from antiretroviral treatment (ART) programmes in low- and middle-income countries (LMIC) are high, leading to poor treatment outcomes and onward transmission of HIV. Knowledge of risk factors is required to address LTFU. In this systematic review, risk factors for LTFU are identified and meta-analyses performed.

METHODS

PubMed, Embase, Psycinfo and Cochrane were searched for studies that report on potential risk factors for LTFU in adults who initiated ART in LMICs. Meta-analysis was performed for risk factors evaluated by at least five studies. Pooled effect estimates and their 95% confidence intervals (95% CI) were calculated using random effect models with inverse variance weights. Risk of bias was assessed and sensitivity analyses performed.

RESULTS

Eighty studies were included describing a total of 1 605 320 patients of which 87.4% from sub-Saharan Africa. The following determinants were significantly associated with an increased risk of LTFU in meta-analysis: male sex, older age, being single, unemployment, lower educational status, advanced WHO stage, low weight, worse functional status, poor adherence, nondisclosure, not receiving cotrimoxazole prophylactic therapy when indicated, receiving care at secondary level and more recent year of initiation. No association was seen for CD4 cell count, tuberculosis at baseline, regimen, and geographical setting.

CONCLUSION

There are several sociodemographic, clinical, patient behaviour, treatment-related and system level risk factors for LTFU from ART programs. Knowledge of risk factors should be used to better target retention interventions and develop tools to identify high-risk patients.

Programmatic outcomes and impact of rapid public sector antiretroviral therapy expansion in adults prior to introduction of the WHO treat-all approach in rural Eswatini

OBJECTIVES

To assess long-term antiretroviral therapy (ART) outcomes during rapid HIV programme expansion in the public sector of Eswatini (formerly Swaziland).

METHODS

This is a retrospectively established cohort of HIV-positive adults (≥16 years) who started first-line ART in 25 health facilities in Shiselweni (Eswatini) between 01/2006 and 12/2014. Temporal trends in ART attrition, treatment expansion and ART coverage were described over 9 years. We used flexible parametric survival models to assess the relationship between time to ART attrition and covariates.

RESULTS

Of 24 772 ART initiations, 6% (n = 1488) occurred in 2006, vs. 13% (n = 3192) in 2014. Between these years, median CD4 cell count at ART initiation increased (113-265 cells/mm3 ). The active treatment cohort expanded 8.4-fold, ART coverage increased 8.0-fold (7.1% in 2006 vs. 56.8% in 2014) and 12-month crude ART retention improved from 71% to 86%. Compared with the pre-decentralisation period (2006-2007), attrition decreased by 5% (adjusted hazard ratio [aHR] 0.95, 95% confidence interval 0.88-1.02) during HIV-TB service decentralisation (2008-2010), by 17% (aHR 0.83, 0.75-0.92) during service consolidation (2011-2012), and by 20% (aHR 0.80, 0.71-0.90) during further treatment expansion (2013-2014). The risk of attrition was higher for young age, male sex, pathological baseline haemoglobin and biochemistry results, more toxic drug regimens, WHO III/IV staging and low CD4 cell count; access to a telephone was protective.

CONCLUSIONS

Programmatic outcomes improved during large expansion of the treatment cohort and increased ART coverage. Changes in ART programming may have contributed to better outcomes.