Predictors and consequences of HIV status disclosure to adolescents living with HIV in Eastern Cape, South Africa: a prospective cohort study

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Study Justification:
This study aimed to investigate the predictors and consequences of disclosing HIV-positive status to adolescents living with HIV (ALHIV) in Eastern Cape, South Africa. The World Health Organization recommends disclosure of HIV status to ALHIV by age 12, but disclosure rates are low. Understanding the factors associated with disclosure and its impact on adherence, viral suppression, and mental health outcomes is crucial for improving the care and support provided to ALHIV.
Study Highlights:
– The study included three rounds of data collection from a closed cohort of ALHIV in Eastern Cape, South Africa, spanning from 2014 to 2018.
– The proportion of ALHIV aware of their HIV-positive status increased from 63.1% at the first round to 85.5% by the third round.
– Older age and living in an urban location were associated with disclosure between interviews.
– Awareness of HIV-positive status was not associated with higher rates of mental health symptoms or lower rates of viral suppression among all ALHIV interviewed.
– Among ALHIV who were unaware of their status at baseline, adherence decreased at the second round among those who were disclosed to and increased among those not disclosed to.
– There was no significant difference in the change in mental health symptoms between study rounds and disclosure groups.
Study Recommendations:
– The findings support the recommendation for timely disclosure of HIV-positive status to ALHIV.
– Adherence support post-disclosure is important to ensure that ALHIV maintain their medication regimen.
– Mental health support should be provided to all ALHIV, regardless of their awareness of their HIV-positive status.
Key Role Players:
– Healthcare providers: They play a crucial role in facilitating disclosure and providing support to ALHIV.
– Caregivers: They are responsible for making decisions about disclosure and providing ongoing care and support to ALHIV.
– Community organizations: They can provide additional support and resources for ALHIV and their families.
– Policy makers: They can develop policies and guidelines that promote timely disclosure and ensure adequate support for ALHIV.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers on disclosure and adherence support.
– Development and dissemination of educational materials for caregivers and ALHIV.
– Mental health services and counseling for ALHIV.
– Community outreach programs and support groups for ALHIV and their families.
– Monitoring and evaluation of disclosure and support programs.
Please note that the cost items provided are general suggestions and may vary depending on the specific context and resources available.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study includes a large sample size and multiple rounds of data collection, which increases the reliability of the findings. The study also uses logistic regression to identify factors associated with disclosure and assess differences in outcomes between disclosure groups. However, the study relies on self-reported measures of adherence and mental health symptoms, which may be subject to bias. To improve the strength of the evidence, future studies could consider using objective measures of adherence and mental health outcomes, such as viral load testing and clinical assessments. Additionally, including a control group of adolescents without HIV could provide a better comparison for assessing the impact of disclosure on outcomes.

Introduction: The World Health Organization recommends full disclosure of HIV-positive status to adolescents who acquired HIV perinatally (APHIV) by age 12. However, even among adolescents (aged 10–19) already on antiretroviral therapy (ART), disclosure rates are low. Caregivers often report the child being too young and fear of disclosure worsening adolescents’ mental health as reasons for non-disclosure. We aimed to identify the predictors of disclosure and the association of disclosure with adherence, viral suppression and mental health outcomes among adolescents in sub-Saharan Africa. Methods: Analyses included three rounds (2014–2018) of data collected among a closed cohort of adolescents living with HIV in Eastern Cape, South Africa. We used logistic regression with respondent random-effects to identify factors associated with disclosure, and assess differences in ART adherence, viral suppression and mental health symptoms between adolescents by disclosure status. We also explored differences in the change in mental health symptoms and adherence between study rounds and disclosure groups with logistic regression. Results: Eight hundred and thirteen APHIV were interviewed at baseline, of whom 769 (94.6%) and 729 (89.7%) were interviewed at the second and third rounds, respectively. The proportion aware of their HIV-positive status increased from 63.1% at the first round to 85.5% by the third round. Older age (adjusted odds ratio [aOR]: 1.27; 1.08–1.48) and living in an urban location (aOR: 2.85; 1.72–4.73) were associated with disclosure between interviews. There was no association between awareness of HIV-positive status and ART adherence, viral suppression or mental health symptoms among all APHIV interviewed. However, among APHIV not aware of their status at baseline, adherence decreased at the second round among those who were disclosed to (N = 131) and increased among those not disclosed to (N = 151) (interaction aOR: 0.39; 0.19–0.80). There was no significant difference in the change in mental health symptoms between study rounds and disclosure groups. Conclusions: Awareness of HIV-positive status was not associated with higher rates of mental health symptoms, or lower rates of viral suppression among adolescents. Disclosure was not associated with worse mental health. These findings support the recommendation for timely disclosure to APHIV; however, adherence support post-disclosure is important.

The study traced all ALHIV (aged 10–19 at baseline) who had initiated ART from all 52 ART clinics in a large urban, peri‐urban and rural district in Eastern Cape, South Africa [33]. Adolescents were identified via paper and computerized records and traced home. At baseline (2014–2015), 1046 ALHIV were recruited, representing 90% of the 1176 patient records identified. These ALHIV were followed‐up over a 4‐year period for three rounds of data collection (Round 1: 2014–2015, Round 2: 2016–2017 and Round 3: 2017–2018). Quantitative interviews were self‐administered using standardized questionnaires on tablet devices. Available viral load data were extracted from participants’ clinical records in rounds 1 and 2 and linked to their questionnaire data [33, 34]. This analysis was restricted to APHIV (Figure 1) determined by ART initiation age ≤10 years and validated using supporting evidence, such as history of parental death, maternal HIV status and self‐reported sexual history [33, 35]. Flow diagram of study and analytic sample. The outcome for the first objective was learning one’s HIV‐positive status (disclosure). Mental health symptomology (anxiety, depression and suicidality) and HIV treatment outcomes (ART adherence and viral suppression) were the outcomes for the second objective, while mental health symptomology and ART adherence were outcomes for the third objective. At baseline, awareness of HIV status was assessed firstly through clinic records and healthcare worker interviews, and then with primary caregivers during the consent process. In cases of discrepancies, interviewers asked adolescents if they knew what their illness was, if they had ever tested for HIV and if they knew what their medication was [36]. Adolescents were considered fully aware if they reported both knowledge of living with HIV and knowledge of their medication being ART used to treat HIV. For APHIV unaware at baseline, awareness was reassessed at subsequent study rounds from primary caregivers and adolescents during the consent process. Adolescents unaware of their HIV‐positive status were asked about “illness” and “medication” as opposed to “HIV” and “ART” in study questionnaires. Disclosure was defined as being unaware of one’s HIV‐positive status at baseline or the second round and being aware at the subsequent study round. Anxiety symptoms in the past month were assessed using a 14‐item abbreviated version of the Children’s Manifest Anxiety Scale‐Revised [37]. This scale, which has previously been validated in studies among children living with HIV [38], included “no” and “yes” responses to the experience of each symptom, coded as “0” and “1” with a total score range of 0–14. Depression symptoms in the past 2 weeks were assessed using the Child Depression Inventory (short form) 10‐item version [39]. This scale, which has also been used and validated in other SSA populations [40, 41, 42, 43], had a 3‐point Likert‐type scale ranging from 0 to 2 with a total score range of 0–20. Suicidality symptoms in the past months were assessed using the Mini International Psychiatric Interview for Children and Adolescents suicidality and self‐harm subscale [44]. This 5‐item scale, which has been validated in developed world populations and adapted in SSA settings [45, 46, 47], included “no” and “yes” responses to the experience of each symptoms, coded as “0” and “1” with a total score range of 0–5. All symptoms in these measures had equal weight. Due to the small number of participants endorsing the most severe symptoms, we created binary variables for any symptoms versus none on each of three scales. An adapted version of the standardized Patient Medication Adherence Questionnaire was used to assess self‐reported ART adherence in the past week, alongside measures developed in Botswana [48, 49]. Adherence was defined by reporting currently taking ART and not having missed any doses in the past 7 days (including weekdays and weekend) [34]. We included the closest viral load results that were no more than 3 months before or 1 year after the questionnaire interview dates for the respective study rounds. Viral suppression was defined as viral load <1000 copies/ml. The main explanatory variable of interest for the mental health and HIV treatment outcomes was awareness of HIV‐positive status, as described above. Other control variables were age, age at ART initiation, sex, dwelling type, orphanhood status, relationship with primary caregiver and household poverty. Household poverty was assessed by measuring access to the top eight socially perceived necessities for children as defined by the Centre for South African Social Policy [50]. Adolescents were classified as living in poverty if they reported not having access to all eight necessities. We also included measures of abuse (physical and emotional) and stigma (anticipated and secondary) as control variables. Physical and emotional abuse were measured using items from the UNICEF Measures for National‐level Monitoring of Orphans and Vulnerable Children [51]. Anticipated stigma was measured using two items from the ALHIV‐Stigma Scale, which assessed adolescents’ views of the community's perception towards HIV and has been used previously among ALHIV in SSA [52]. Secondary stigma due to HIV in families/households was measured using the 6‐item Stigma‐By‐Association scale, which has been validated in South Africa [53]. Adolescents were categorized as having experienced physical or emotional abuse and anticipated or secondary stigma if they self‐reported at least one experience of these in the past year. Characteristics of study participants overall and by awareness of HIV status in each round were summarized using means, standard deviations, median, interquartile ranges and proportions. Differences between participant characteristics by awareness of HIV status and availability of viral load results at all study rounds were calculated using t‐tests for continuous variables and chi‐square tests for categorical variables. Second, among APHIV who were unaware of their HIV status at rounds 1 and 2, we used random‐intercepts logistic regression to identify factors associated with disclosure between rounds. The outcome was learning one's HIV status at round 2 or 3, and the explanatory variables were demographic, psychological and social factors at the survey prior to disclosure. Individual‐level random intercepts were used to account for the repeated observations of the same individuals. Variables identified a priori to be associated with disclosure, such as age, age at ART initiation, sex, dwelling location, caregiver relationship and orphanhood status [12, 14, 15, 54, 55], and the study round, were included in a multivariate regression model. Third, to assess if awareness of HIV‐positive status was associated with self‐reported ART adherence or poor mental health symptoms, data for all APHIV who were interviewed at any of the three rounds were analysed. Analysis of the association between awareness of HIV‐positive status and viral suppression was restricted to APHIV with viral load results. Logistic regression with individual‐level random intercepts was used to estimate the odds of ART adherence, viral suppression and reporting any symptom of depression, anxiety and suicidality. We adjusted for potential confounders identified from our conceptual framework and the study round in a multivariate random‐intercepts logistic regression model. A sensitivity analysis was conducted using only those interviewed at all three rounds. Lastly, again among those who were unaware of their HIV status at rounds 1 and 2, we analysed whether there was a differential change in reporting any mental health problems symptom or ART adherence between study rounds for APHIV who were disclosed to versus those who were not. We did not examine the differential change in viral suppression between disclosure groups due to the paucity of viral load results and wide interval between result dates and interviews. We specified the following logistic regression model to estimate if the odds of reporting any anxiety, depression or suicidality symptom, or adherence between study rounds (rounds 1–2 and 2–3), was different between those who learnt their HIV status and those who did not: where Y represents our mental health outcomes or ART adherence, time is a dummy variable indicating round 1 or 2 and awareness is a dummy variable indicating awareness of status at round 2. β 3 indicates the difference between the log‐odds ratio comparing round 1 versus 2 in those who learnt their status at 2 and the log‐odds ratio comparing round 1 versus 2 in those who did not. We reported exponentiated β 3 estimates (both crude and adjusted for factors hypothesized to be associated with mental health symptoms and adherence from our conceptual framework [Figure S1]). We considered p‐values ≤0.05 as statistically significant, and all p‐values are two‐sided. Analyses were conducted in R version 3.6.1 [56]. Ethical approval for the study was granted by the Institutional Review Boards at the Universities of Cape Town (CSSR 2013/4) and Oxford (SSD/CUREC2/12‐21). Provincial approval was obtained from the Eastern Cape Departments of Education and Health and participating health facilities to conduct the study and access medical records. Written informed consent for the interviews and to access clinical records was obtained from participants and their primary caregivers. Ethical approval for the secondary analyses of study data was obtained from the Imperial College Research Governance and Integrity Team (20IC6451).

Based on the provided information, it seems that the study focuses on understanding the predictors and consequences of HIV status disclosure to adolescents living with HIV in Eastern Cape, South Africa. The study aims to improve access to maternal health by identifying factors associated with disclosure and assessing the impact of disclosure on adherence to antiretroviral therapy (ART), viral suppression, and mental health outcomes among adolescents.

To improve access to maternal health in this context, the following innovations could be considered:

1. Mobile Health (mHealth) Interventions: Develop and implement mobile phone-based interventions to provide information, reminders, and support to adolescents and their caregivers regarding HIV status disclosure, ART adherence, and maternal health services. This could include text messages, interactive voice response systems, or mobile applications.

2. Peer Support Programs: Establish peer support programs where adolescents living with HIV can connect with and receive support from peers who have already undergone HIV status disclosure. Peer support can help reduce stigma, provide emotional support, and share experiences and strategies for managing HIV and maternal health.

3. Community Engagement and Education: Conduct community engagement activities and educational campaigns to raise awareness about the importance of HIV status disclosure, address misconceptions and fears, and promote acceptance and support for adolescents living with HIV. This can involve community meetings, workshops, and media campaigns.

4. Mental Health Screening and Support: Integrate mental health screening and support services into maternal health programs for adolescents living with HIV. This can help identify and address mental health issues such as anxiety and depression, which may be associated with HIV status disclosure and adherence to ART.

5. Strengthening Health Systems: Improve the capacity and resources of health systems to provide comprehensive maternal health services to adolescents living with HIV. This includes ensuring access to HIV testing and counseling, ART, viral load monitoring, and psychosocial support services.

It is important to note that these recommendations are general and may need to be adapted to the specific context and resources available in Eastern Cape, South Africa.
AI Innovations Description
The study mentioned focuses on the disclosure of HIV-positive status to adolescents living with HIV (ALHIV) in Eastern Cape, South Africa, and its association with various outcomes such as adherence to antiretroviral therapy (ART), viral suppression, and mental health symptoms. The study found that awareness of HIV-positive status was not associated with higher rates of mental health symptoms or lower rates of viral suppression among adolescents. However, timely disclosure to ALHIV was still recommended, with the importance of providing adherence support post-disclosure emphasized.

Based on this study, a recommendation to improve access to maternal health could be to implement a similar approach for disclosing maternal health information to pregnant women. Just as timely disclosure of HIV-positive status to ALHIV was found to be beneficial, timely disclosure of maternal health information to pregnant women could help improve their access to appropriate healthcare services and support. This could include providing information about the mother’s health status, potential risks during pregnancy, and available interventions or treatments. By ensuring that pregnant women are well-informed about their health and the necessary steps to take, they can make informed decisions and seek appropriate care, ultimately improving maternal health outcomes.
AI Innovations Methodology
The study you provided focuses on the predictors and consequences of HIV status disclosure to adolescents living with HIV in Eastern Cape, South Africa. While the study does not directly address access to maternal health, I can provide some general recommendations for improving access to maternal health and a brief methodology to simulate the impact of these recommendations.

Recommendations for improving access to maternal health:

1. Strengthening healthcare infrastructure: Invest in improving healthcare facilities, equipment, and resources in areas with limited access to maternal health services. This includes ensuring the availability of skilled healthcare professionals, essential medications, and necessary medical equipment.

2. Community-based interventions: Implement community-based programs that provide education and support for maternal health. This can include training community health workers to provide antenatal and postnatal care, promoting awareness about maternal health issues, and facilitating access to healthcare services.

3. Telemedicine and mobile health solutions: Utilize telemedicine and mobile health technologies to provide remote access to maternal health services. This can include virtual consultations, remote monitoring of maternal health parameters, and delivering health information through mobile applications.

4. Financial support and insurance coverage: Implement policies that provide financial support and insurance coverage for maternal health services. This can help reduce financial barriers and ensure that all women have access to necessary prenatal, delivery, and postnatal care.

Methodology to simulate the impact of recommendations on improving access to maternal health:

1. Define the target population: Identify the specific population for which access to maternal health needs to be improved. This can include pregnant women in a particular region or community.

2. Collect baseline data: Gather data on the current state of maternal health access in the target population. This can include information on healthcare infrastructure, availability of services, utilization rates, and health outcomes.

3. Identify key indicators: Determine the key indicators that will be used to measure the impact of the recommendations. This can include indicators such as the number of antenatal visits, percentage of deliveries attended by skilled birth attendants, maternal mortality rates, and postnatal care utilization.

4. Develop a simulation model: Create a simulation model that incorporates the recommendations for improving access to maternal health. This model should consider factors such as population size, healthcare infrastructure, availability of resources, and the effectiveness of interventions.

5. Simulate the impact: Run the simulation model to assess the potential impact of the recommendations on the selected indicators. This can involve adjusting parameters related to healthcare infrastructure, community-based interventions, telemedicine, financial support, and insurance coverage.

6. Analyze the results: Evaluate the simulation results to determine the potential improvements in access to maternal health. This can include comparing the simulated outcomes with the baseline data and identifying areas of significant improvement or areas that require further intervention.

7. Refine and iterate: Based on the simulation results, refine the recommendations and simulation model as needed. Repeat the simulation process to assess the impact of the refined recommendations and make further adjustments if necessary.

It’s important to note that the methodology described above is a general framework and may need to be adapted based on the specific context and data availability. Additionally, conducting real-world evaluations and monitoring the implementation of recommendations is crucial to validate the simulation results and ensure the effectiveness of interventions in improving access to maternal health.

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