Clinical predictor score to identify patients at risk of poor viral load suppression at six months on antiretroviral therapy: results from a prospective cohort study in Johannesburg, South Africa

Predicting Lost to Follow-Up Status Using an Adolescent HIV Psychosocial Attrition Risk Assessment Tool: Results From a Mixed Methods Prospective Cohort Study in Uganda

BACKGROUND

Low retention in care for adolescents living with HIV (ALHIV) has been a key driver of suboptimal viral load suppression rates in Uganda. The objective of this study was to develop a psychosocial risk assessment tool and evaluate its ability to predict the risk of attrition of ALHIV between the ages 15 and 19 years.

SETTING

The study was conducted in 20 facilities in Central and Western Uganda from August 2021 through July 2022.

METHODS

A mixed methods prospective cohort study was conducted in two phases. In the first phase, the Adolescent Psychosocial Attrition Risk Assessment tool was developed and revised using feedback from focus group discussions and interviews. In the second phase, the ability of the Adolescent Psychosocial Attrition Risk Assessment tool to predict attrition among ALHIV was evaluated using diagnostic accuracy tests.

RESULTS

A total of 597 adolescents between the ages 15 and 19 years were enrolled, of which 6% were lost to follow-up at the end of the study period. A 20-question tool was developed, with 12 questions being responded to affirmatively by >50% of all participants. Using a cut-off score of 6 or more affirmative answers translated to an area under the curve of 0.58 (95% CI: 0.49 to 0.66), sensitivity of 55% (95% CI: 36% to 72%), and specificity of 61% (95% CI: 56% to 65%).

CONCLUSION

Although the Adolescent Psychosocial Attrition Risk Assessment tool was not effective at predicting lost to follow-up status among ALHIV, the tool was useful for identifying psychosocial issues experienced by ALHIV and may be appropriate to administer during routine care visits to guide action.

Exploring HIV disease indicators at MDR-TB treatment initiation in South Africa

BACKGROUND: Understanding relationships between HIV and multidrug-resistant TB (MDR-TB) is crucial for ensuring successful MDR-TB outcomes.METHODS: We used a cross-sectional analysis to evaluate sociodemographic and clinical characteristics as correlates of antiretroviral therapy (ART) use, having an HIV viral load (VL) result, and HIV viral suppression in a cross-sectional sample of people with HIV (PWH) and MDR-TB enrolled in a cluster-randomized trial of nurse case management to improve MDR-TB outcomes.RESULTS: Among 1,479 PWH, the mean age was 37.1 years; 809 (54.7%) were male, and 881 (59.6%) were taking ART. Housing location, employment status, and CD4 count differed significantly between those taking vs. those not taking ART. Among the 881 taking ART, 681 (77.3%) had available HIV VL results. Housing location, CD4 count, and prior history of TB differed significantly between those with and without a VL result. Among the 681 with a VL result, 418 (61.4%) were virally suppressed. Age, education level, CD4 count, TB history, housing location, and ART type differed significantly between those with and without viral suppression.CONCLUSION: PWH presenting for MDR-TB treatment with a history of TB, taking a protease inhibitor, or living in a township may risk poor MDR-TB outcomes.

Predictors of Viral Load and Medication Adherence Among HIV-Positive Adults Under Treatment at Felege-Hiwot Comprehensive Specialized Hospital, North-West, Ethiopia

Background

Maintaining good medication adherence and decreasing viral load in patients living with HIV/AIDS are critical to ensuring antiretroviral therapy's preventive and therapeutic benefits. The main objective of this study was to assess the predictors of viral load and medication adherence among HIV-positive adults under treatment at Felege Hiwot Comprehensive Specialized Hospital (FHCSH).

Methods

A retrospective cohort study design was conducted from a random sample of 281 adult HIV-infected patients under treatment at FHCSH in northwest Ethiopia from June 2017 to June 2021. Separate GLMM was used in analysis of viral load and medication adherence, and joint mode was applied to fit those two outcomes jointly. The potential correlation of those two outcomes was linked by random intercepts. Information criteria (AIC and BIC) were used for model comparison and covariance structure selection.

Results

The small standard error of significant predictors and significant correlation between viral load and medication adherence over time provide evidence for joint model selection. The correlation between viral load and medication adherence was -0.7688 (P-value=< 0.05), which indicates that the decrement of viral load tends to increase good medication adherence. Patient substance use, visit time, baseline CD4 cell, baseline hemoglobin, and the interaction of visit time by substance use were significantly associated with viral load and medication adherence jointly.

Conclusion

The study revealed that substance user adult patients, patients with low baseline CD4 cells, and patients with low baseline hemoglobin were with high viral loads and poor medication adherence. Therefore, health officials and other concerned bodies should give special attention and high intervention to patients with low baseline hemoglobin; poor adherence and low baseline CD4 cell count.

Development and validation of a prediction tool to support engagement in HIV care among young people ages 10-24 years in Kenya

INTRODUCTION

Loss to follow-up (LTFU) among adolescents and young adults living with HIV (AYALWH) is a barrier to optimal health and HIV services. We developed and validated a clinical prediction tool to identify AYALWH at risk of LTFU.

METHODS

We used electronic medical records (EMR) of AYALWH ages 10 to 24 in HIV care at 6 facilities in Kenya and surveys from a subset of participants. Early LTFU was defined as >30 days late for a scheduled visit in the last 6 months, which accounts for clients with multi-month refills. We developed a tool combining surveys with EMR ('survey-plus-EMR tool'), and an 'EMR-alone' tool to predict high, medium, and low risk of LTFU. The survey-plus-EMR tool included candidate sociodemographics, partnership status, mental health, peer support, any unmet clinic needs, WHO stage, and time in care variables for tool development, while the EMR-alone included clinical and time in care variables only. Tools were developed in a 50% random sample of the data and internally validated using 10-fold cross-validation of the full sample. Tool performance was evaluated using Hazard Ratios (HR), 95% Confidence Intervals (CI), and area under the curve (AUC) ≥ 0.7 for good performance and ≥0.60 for modest performance.

RESULTS

Data from 865 AYALWH were included in the survey-plus-EMR tool and early LTFU was (19.2%, 166/865). The survey-plus-EMR tool ranged from 0 to 4, including PHQ-9 ≥5, lack of peer support group attendance, and any unmet clinical need. High (3 or 4) and medium (2) prediction scores were associated with greater risk of LTFU (high, 29.0%, HR 2.16, 95%CI: 1.25-3.73; medium, 21.4%, HR 1.52, 95%CI: 0.93-2.49, global p-value = 0.02) in the validation dataset. The 10-fold cross validation AUC was 0.66 (95%CI: 0.63-0.72). Data from 2,696 AYALWH were included in the EMR-alone tool and early LTFU was 28.6% (770/2,696). In the validation dataset, high (score = 2, LTFU = 38.5%, HR 2.40, 95%CI: 1.17-4.96) and medium scores (1, 29.6%, HR 1.65, 95%CI: 1.00-2.72) predicted significantly higher LTFU than low-risk scores (0, 22.0%, global p-value = 0.03). Ten-fold cross-validation AUC was 0.61 (95%CI: 0.59-0.64).

CONCLUSIONS

Clinical prediction of LTFU was modest using the surveys-plus-EMR tool and the EMR-alone tool, suggesting limited use in routine care. However, findings may inform future prediction tools and intervention targets to reduce LTFU among AYALWH.

Conceptualising engagement with HIV care for people on treatment: the Indicators of HIV Care and AntiRetroviral Engagement (InCARE) Framework

BACKGROUND

As the crisis-based approach to HIV care evolves to chronic disease management, supporting ongoing engagement with HIV care is increasingly important to achieve long-term treatment success. However, 'engagement' is a complex concept and ambiguous definitions limit its evaluation. To guide engagement evaluation and development of interventions to improve HIV outcomes, we sought to identify critical, measurable dimensions of engagement with HIV care for people on treatment from a health service-delivery perspective.

METHODS

We used a pragmatic, iterative approach to develop a framework, combining insights from researcher experience, a narrative literature review, framework mapping, expert stakeholder input and a formal scoping review of engagement measures. These inputs helped to refine the inclusion and definition of important elements of engagement behaviour that could be evaluated by the health system.

RESULTS

The final framework presents engagement with HIV care as a dynamic behaviour that people practice rather than an individual characteristic or permanent state, so that people can be variably engaged at different points in their treatment journey. Engagement with HIV care for those on treatment is represented by three measurable dimensions: 'retention' (interaction with health services), 'adherence' (pill-taking behaviour), and 'active self-management' (ownership and self-management of care). Engagement is the product of wider contextual, health system and personal factors, and engagement in all dimensions facilitates successful treatment outcomes, such as virologic suppression and good health. While retention and adherence together may lead to treatment success at a particular point, this framework hypothesises that active self-management sustains treatment success over time. Thus, evaluation of all three core dimensions is crucial to realise the individual, societal and public health benefits of antiretroviral treatment programmes.

CONCLUSIONS

This framework distils a complex concept into three core, measurable dimensions critical for the maintenance of engagement. It characterises elements that the system might assess to evaluate engagement more comprehensively at individual and programmatic levels, and suggests that active self-management is an important consideration to support lifelong optimal engagement. This framework could be helpful in practice to guide the development of more nuanced interventions that improve long-term treatment success and help maintain momentum in controlling a changing epidemic.

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study

INTRODUCTION

Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation.

METHODS

We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders.

RESULTS AND DISCUSSION

We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients.

CONCLUSIONS

Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study

INTRODUCTION

Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation.

METHODS

We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders.

RESULTS AND DISCUSSION

We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients.

CONCLUSIONS

Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.

Accuracy of measures for antiretroviral adherence in people living with HIV

BACKGROUND

Good patient adherence to antiretroviral (ART) medication determines effective HIV viral suppression, and thus reduces the risk of progression and transmission of HIV. With accurate methods to monitor treatment adherence, we could use simple triage to target adherence support interventions that could help in the community or at health centres in resource-limited settings.

OBJECTIVES

To determine the accuracy of simple measures of ART adherence (including patient self-report, tablet counts, pharmacy records, electronic monitoring, or composite methods) for detecting non-suppressed viral load in people living with HIV and receiving ART treatment.

SEARCH METHODS

The Cochrane Infectious Diseases Group Information Specialists searched CENTRAL, MEDLINE, Embase, LILACS, CINAHL, African-Wide information, and Web of Science up to 22 April 2021. They also searched the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) and ClinicalTrials.gov for ongoing studies. No restrictions were placed on the language or date of publication when searching the electronic databases.

SELECTION CRITERIA

We included studies of all designs that evaluated a simple measure of adherence (index test) such as self-report, tablet counts, pharmacy records or secondary database analysis, or both, electronic monitoring or composite measures of any of those tests, in people living with HIV and receiving ART treatment. We used a viral load assay with a limit of detection ranging from 10 copies/mL to 400 copies/mL as the reference standard. We created 2 × 2 tables to calculate sensitivity and specificity.

DATA COLLECTION AND ANALYSIS

We screened studies, extracted data, and assessed risk of bias using QUADAS-2 independently and in duplicate. We assessed the certainty of evidence using the GRADE method. The results of estimated sensitivity and specificity were presented using paired forest plots and tabulated summaries. We encountered a high level of variation among studies which precluded a meaningful meta-analysis or comparison of adherence measures. We explored heterogeneity using pre-defined subgroup analysis.

MAIN RESULTS

We included 51 studies involving children and adults with HIV, mostly living in low- and middle-income settings, conducted between 2003 and 2021. Several studies assessed more than one index test, and the most common measure of adherence to ART was self-report. - Self-report questionnaires (25 studies, 9211 participants; very low-certainty): sensitivity ranged from 10% to 85% and specificity ranged from 10% to 99%. - Self-report using a visual analogue scale (VAS) (11 studies, 4235 participants; very low-certainty): sensitivity ranged from 0% to 58% and specificity ranged from 55% to 100%. - Tablet counts (12 studies, 3466 participants; very low-certainty): sensitivity ranged from 0% to 100% and specificity ranged from 5% to 99%. - Electronic monitoring devices (3 studies, 186 participants; very low-certainty): sensitivity ranged from 60% to 88% and the specificity ranged from 27% to 67%. - Pharmacy records or secondary databases (6 studies, 2254 participants; very low-certainty): sensitivity ranged from 17% to 88% and the specificity ranged from 9% to 95%. - Composite measures (9 studies, 1513 participants; very low-certainty): sensitivity ranged from 10% to 100% and specificity ranged from 49% to 100%. Across all included studies, the ability of adherence measures to detect viral non-suppression showed a large variation in both sensitivity and specificity that could not be explained by subgroup analysis. We assessed the overall certainty of the evidence as very low due to risk of bias, indirectness, inconsistency, and imprecision. The risk of bias and the applicability concerns for patient selection, index test, and reference standard domains were generally low or unclear due to unclear reporting. The main methodological issues identified were related to flow and timing due to high numbers of missing data. For all index tests, we assessed the certainty of the evidence as very low due to limitations in the design and conduct of the studies, applicability concerns and inconsistency of results.

AUTHORS' CONCLUSIONS

We encountered high variability for all index tests, and the overall certainty of evidence in all areas was very low. No measure consistently offered either a sufficiently high sensitivity or specificity to detect viral non-suppression. These concerns limit their value in triaging patients for viral load monitoring or enhanced adherence support interventions.

An empiric tool to identify Kenyans living with HIV who will have unsuppressed viremia 18 months following treatment initiation to guide differentiated care models

Background

With the global push towards universal access to Antiretroviral Treatment (ART), patient numbers are increasing, further straining already under-resourced healthcare systems in sub-Saharan Africa. A simple scoring tool could be useful in optimizing differentiated service delivery by identifying individuals likely to have unsuppressed viral load.

Methods

Using existing data of patients accessing ART at public health facilities that were extracted from the Kenya Electronic Medical Record (KenyaEMR) and standard methods of developing a clinical prediction tool; we created and validated a risk scoring tool to identify persons likely to be virally unsuppressed at 18 months post-ART initiation. Data from the KenyaEMR were cleaned, merged and reviewed for completeness. We utilized multivariate modelling to determine key predictors of viral load suppression that could be measured in clinical settings.

Results

We assessed clinical reports of 3,968 patients on ART who had been on ART for at least 18 months and had at least one viral load result and were ≥ 18 years old. Of these, the majority (81%) were virally suppressed 18 months post-ART initiation. The final risk score included age, sex, body mass index at HIV diagnosis, number of years of formal education, disclosure status, and duration of time between HIV diagnosis and initiating ART. The maximum risk score was 78; a risk score of ≥22 was associated with unsuppressed viral load (>1000copies/mL). The area under the curve (AUC) for the probability of the risk score to correctly predict unsuppressed viral load was 0.55 (95% CI: 0.52 to 0.56). Internal and external validation showed similar predictive ability.

Conclusions

Routinely collected variables in a public HIV clinic medical record predicts, with modest accuracy, individuals likely to have unsuppressed HIV viremia 18 months after they initiate ART. The use and application of this tool could improve and complement efficiency in differentiated care models for patients on ART.

Men missing from the HIV care continuum in sub-Saharan Africa: a meta-analysis and meta-synthesis

Introduction

Men are missing along the HIV care continuum. However, the estimated proportions of men in sub‐Saharan Africa meeting the UNAIDS 95‐95‐95 goals vary substantially between studies. We sought to estimate proportions of men meeting each of the 95‐95‐95 goals across studies in sub‐Saharan Africa, describe heterogeneity, and summarize qualitative evidence on factors influencing care engagement.

Methods

We systematically searched PubMed and Embase for peer‐reviewed articles published between 1 January 2014 and 16 October 2020. We included studies involving men ≥15 years old, with data from 2009 onward, reporting on at least one 95‐95‐95 goal in sub‐Saharan Africa. We estimated pooled proportions of men meeting these goals using DerSimonion‐Laird random effects models, stratifying by study population (e.g. studies focusing exclusively on men who have sex with men vs. studies that did not), facility setting (healthcare vs. community site), region (eastern/southern Africa vs. western/central Africa), outcome measurement (e.g. threshold for viral load suppression), median year of data collection (before vs. during or after 2017) and quality criteria. Data from qualitative studies exploring barriers to men's HIV care engagement were summarized using meta‐synthesis.

Results and discussion

We screened 14,896 studies and included 129 studies in the meta‐analysis, compiling data over the data collection period. Forty‐seven studies reported data on knowledge of serostatus, 43 studies reported on antiretroviral therapy use and 74 studies reported on viral suppression. Approximately half of men with HIV reported not knowing their status (0.49 [95% CI, 0.41–0.58; range, 0.09–0.97]) or not being on treatment (0.58 [95% CI, 0.51–0.65; range, 0.07–0.97]), while over three‐quarters of men achieved viral suppression on treatment (0.79 [95% CI, 0.77–0.81; range, 0.39–0.97]. Heterogeneity was high, with variation in estimates across study populations, settings and outcomes. The meta‐synthesis of 40 studies identified three primary domains in which men described risks associated with engagement in HIV care: perceived social norms, health system challenges and poverty.

Conclusions

Psychosocial and systems‐level interventions that change men's perceptions of social norms, improve trust in and accessibility of the health system, and address costs of accessing care are needed to better engage men, especially in HIV testing and treatment.

Secondary Overtriage of Trauma Patients to a Central Hospital in Malawi

INTRODUCTION

Secondary overtriage (OT) is the unnecessary transfer of injured patients between facilities. In low- and middle-income countries (LMICs), which shoulder the greatest burden of trauma globally, the impact of wasted resources on an overburdened system is high. This study determined the rate and associated characteristics of OT at a Malawian central hospital.

METHODS

A retrospective analysis of prospectively collected data from January 2012 through July 2017 was performed at Kamuzu Central Hospital (KCH) in Lilongwe, Malawi. Patients were considered OT if they were discharged alive within 48 h without undergoing a procedure, and were not severely injured or in shock on arrival. Factors evaluated for association with OT included patient demographics, injury characteristics, and transferring facility information.

RESULTS

Of 80,915 KCH trauma patients, 15,422 (19.1%) transferred from another facility. Of these, 8703 (56.2%) were OT. OT patients were younger (median 15, IQR: 6-31 versus median 26, IQR: 11-38, p < 0.001). Patients with primary extremity injury (5308, 59.9%) were overtriaged more than those with head injury (1991, 51.8%) or torso trauma (1349, 50.8%), p < 0.001. The OT rate was lower at night (18.9% v 28.7%, p < 0.001) and similar on weekends (20.4% v 21.8%, p = 0.03). OT was highest for penetrating wounds, bites, and falls; burns were the lowest. In multivariable modeling, risk of OT was greatest for burns and soft tissue injuries.

CONCLUSIONS

The majority of trauma patients who transfer to KCH are overtriaged. Implementation of transfer criteria, trauma protocols, and interhospital communication can mitigate the strain of OT in resource-limited settings.

Current Status Towards 90-90-90 UNAIDS Target and Factors Associated with HIV Viral Load Suppression in Kediri City, Indonesia

INTRODUCTION

In 2016, UN Member States committed to reduce new HIV infections to fewer than 500,000 annually by 2020, a 75% reduction compared with 2010, reduce AIDS-related deaths to fewer than 500,000 globally as a means of ending AIDS by 2030. The UNAIDS 2020 target is to have 90% of the people living with HIV know their status, 90% of the people living with HIV (who know their HIV status as positive) are already on ART treatment, 90% of people on treatment are virally suppressed. The objective of this study is to determine the current status towards the 2020 90-9-90 UNAIDS target and the factors associated with HIV viral load suppression in Kediri city.

METHODS

The study was a cross-sectional study in Kediri city. The researcher collected secondary data, carried in-depth interviews, then determined the percentage of HIV-positive patients that did a HIV test and received their results as Positive, the percentage of HIV-positive patients that started ART treatment, the percentage of HIV-positive patients that have viral load suppression from the viral load tests done. A simple bivariate logistic and multivariate logistic regression was used to determine the significant factors that determine viral suppression.

RESULTS

The progress towards the 90-90-90 UNAIDS target was at 6.4%, 74.9%, 9.9%. The time taken by the HIV-positive patient to start ART treatment from the time of confirmation of HIV positive (AOR= 83.191, CI: 1.617-4280.115) and decrease in body weight of the patient (AOR=29.636, CI: 1.193-736.167) were found to significantly influence viral load suppression.

CONCLUSION

There is a need to scale up HIV case-detection capacity through creating awareness about HIV, HIV testing and counselling and expand the ART services so as to achieve the 90-0-90 UNAIDS target. Early initiation to ART treatment (Test and Treat) and encouraging body gaining behaviors are needed to achieve viral load suppression.

Using a Self-Administered Electronic Adherence Questionnaire to Identify Poor Adherence Amongst Adolescents and Young Adults on First-Line Antiretroviral Therapy in Johannesburg, South Africa

INTRODUCTION

The best method to measure adherence to antiretroviral therapy (ART) in resource-limited settings has not yet been established, particularly among adolescents and young adults (AYAs). The use of mobile technology may address the need for standardized tools in measuring adherence in this often marginalized population.

METHODS

We conducted a cross-sectional validation study among AYAs (18-35 years) attending a South African HIV clinic between 07/2015-09/2017. We determine the diagnostic accuracy of two modes of delivering an adherence questionnaire (self-administered electronic vs interviewer-administered paper-adherence questionnaire) comprising two self-reported adherence tools (South African National Department of Health (NDoH) adherence questionnaire and the Simplified Medication Adherence Questionnaire (SMAQ)) to identify poor adherence compared to; 1) a detectable viral load (≥1000 copies/mL) and 2) a sub-optimal concentration of efavirenz (EFV) (EFV ≤1.00 µg/mL) measured by therapeutic drug monitoring (TDM).

RESULTS

Of 278 included participants, 7.1% and 7.3% completing the electronic- and paper-questionnaires had a detectable viral load, while 14.7% and 16.5% had a sub-optimal concentration of EFV, respectively. According to viral load monitoring, the electronic-adherence questionnaire had a higher sensitivity (Se) in detecting poor adherence than the paper-based version across the NDoH adherence questionnaire (Se: 63.6% vs 33.3%) and SMAQ (Se: 90.9% vs 66.7%). In contrast, when using blood drug concentration (EFV ≤1.00 µg/mL), the paper-adherence questionnaire produced a higher sensitivity across both adherence tools; namely the NDoH adherence questionnaire (Se: 50.0% vs 38.1%) and SMAQ (Se: 75.0% vs 57.1%).

CONCLUSION

When using more accurate real-time measures of poor adherence such as TDM in this young adult population, we observe a higher sensitivity of an interviewer-administered paper-adherence questionnaire than an identical set of self-administered adherence questions on an electronic tablet. An interviewer-administered questionnaire may elicit more accurate responses from participants through a sense of increased accountability when engaging with health care workers.