Neurodevelopmental Outcomes of Young Children Born to HIV-Infected Mothers: A Pilot Study

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Study Justification:
This pilot study aimed to investigate the neurodevelopmental outcomes of young children born to HIV-infected mothers in Kenya. With over 15 million children worldwide who were exposed to HIV but uninfected, there is a need to understand the potential risk factors for poor neurodevelopment in this population. By comparing the neurodevelopmental scores of children who are HIV-positive, HIV-exposed uninfected, and unexposed and uninfected with HIV, this study provides valuable insights into the impact of HIV exposure on neurodevelopment.
Highlights:
– The study included 172 children aged 18-36 months who were HIV-positive, HIV-exposed uninfected, or unexposed and uninfected with HIV.
– Mothers of HIV-exposed uninfected children experienced more depressive symptoms.
– The only significant neurodevelopmental difference found was that HIV-positive children had higher receptive language scores.
– Lower height-for-age z-scores and being left home alone for at least an hour were associated with worse neurodevelopmental scores.
– The study highlights the importance of addressing stunting, caregiver supervision, and sociodemographic factors for promoting optimal neurodevelopment in children.
Recommendations:
– Further investigation is needed to understand the higher levels of depressive symptoms among mothers of HIV-exposed uninfected children.
– Interventions should focus on improving height-for-age z-scores and ensuring adequate caregiver supervision to support better neurodevelopmental outcomes.
– Attention should be given to addressing sociodemographic factors that may influence neurodevelopment, such as access to resources and support.
Key Role Players:
– Researchers and scientists specializing in child neurodevelopment and HIV/AIDS.
– Healthcare providers and clinicians involved in the care of children born to HIV-infected mothers.
– Policy makers and government officials responsible for implementing interventions and programs for HIV-exposed children.
– Community organizations and support groups working with families affected by HIV.
Cost Items for Planning Recommendations:
– Development and implementation of intervention programs targeting stunting and caregiver supervision.
– Training and capacity building for healthcare providers and clinicians on addressing neurodevelopmental outcomes in HIV-exposed children.
– Research and data collection to further investigate the impact of depressive symptoms among mothers of HIV-exposed uninfected children.
– Resources for addressing sociodemographic factors, such as access to education, healthcare, and social support.
– Monitoring and evaluation of interventions to assess their effectiveness and make necessary adjustments.

The strength of evidence for this abstract is 6 out of 10.
The evidence in the abstract is based on a small descriptive pilot study, which limits its generalizability. However, the study used statistical analysis and included a diverse range of participants. To improve the evidence, a larger sample size and a longitudinal study design could be implemented.

Introduction: Over 15 million children who were exposed to HIV perinatally but uninfected (HEU) are alive globally, and they are faced with multiple risk factors for poor neurodevelopment. While children who are HIV-infected (HIV+) appear to have worse neurodevelopmental scores compared to children unexposed and uninfected with HIV (HUU), the evidence is mixed in children who are HEU. This small descriptive pilot study aimed to compare neurodevelopmental scores of children who are HIV+, HEU, and HUU in Kenya. Methods: This cross-sectional pilot study included children ages 18–36 months who were HIV+, HEU, or HUU. Neurodevelopment was assessed, along with sociodemographic, lab, and growth data. Statistical analysis included descriptive statistics, one-way ANOVA, chi-squared, and adjusted linear regression models. Results: One hundred seventy two were included (n = 24 HIV+; n = 74 HEU; n = 74 HUU). Mothers of children who were HEU experienced more depressive symptoms (p < 0.001). The only neurodevelopmental differences were found among groups was that children who were HIV+ had higher receptive language scores (p = 0.007). Lower height-for-age z-scores and being left home alone were associated with worse neurodevelopmental scores. Conclusions: Being stunted, left completely alone for at least an hour within the last week, and having higher sociodemographic status were associated with worse neurodevelopmental scores. The higher levels of depressive symptoms within mothers of children who are HEU warrants further investigation.

This was a descriptive cross-sectional pilot study assessing neurodevelopment among young children in Kenya as part of the Academic Model Providing Access to Healthcare (AMPATH) consortium. The AMPATH HIV care program represents a 20-year partnership among Indiana University School of Medicine (IUSM), Moi University School of Medicine (MUSM), and the Moi Teaching and Referral Hospital (MTRH) in Eldoret, Kenya. AMPATH has enrolled over 200,000 patients and currently provides care for approximately 15,000 children who are HEU and HIV+ in 65 clinics in western Kenya (9, 10). The children and their caregivers were recruited from the MTRH and AMPATH pediatric HIV clinics between 12/2017 and 9/2019, where care for prevention of mother-to-child transmission (PMTCT) of HIV has been freely provided since 2003 (11). Mixed convenience sampling of potential participants occurred within these clinics, with periods of consecutive sampling by study team members positioned within the clinic along with the clinic staff notifying the study team of eligible participants when the team was not physically present. Inclusion criteria included: (1) child between 18 and 36 months of age; (2) Kiswahili or English are the primary languages; (3) attending the MTRH maternal-child health (MCH) clinic or AMPATH HIV clinics; and (4) primary caregiver ≥18 years of age. Children aged 18–36 months are the population of interest in this study for the following reasons: (1) The young age ( ≤3 years) promotes early referral to intervention services during a critical period of child neurodevelopment, when intervention is most cost- and time-effective; (2) With 18 months as the lower age limit, cognitive and language domains may be tested with greater rigor and persisting delays will be more perceptible, while still allowing adequate time for intervention during this critical period; (3) From a feasibility standpoint, 18–36 months is the upper age limit of children born to mothers living with HIV routinely attending the MCH clinics in Kenya, due to the timing of their final HIV testing. We aimed to recruit 75 participants from each group (HEU, HIV+, and HUU), with HIV status obtained from maternal report. In total, 187 children were recruited. Twelve children could not complete ≥1 sub-sections of the Bayley-3, despite an additional time allowed to rest; two were excluded due to over-recruitment within the HEU cohort; and one did not return after consenting, resulting in 172 remaining study participants. Perinatal data were not collected from participants. However, standard PMTCT guidelines at this time included an efavirenz-based first-line ART for adults living with HIV ≥15 years of age (12, 13). The Bayley Scales of Infant and Toddler Development, 3rd edition (Bayley-3) is a neurodevelopment assessment that is internationally known and commonly used in research settings (1, 14). Our research team conducted a psychometric analysis of this culturally-adapted Bayley-3 within this setting in Kenya and found it to be valid and internally reliable (15). The cognitive, language (receptive/expressive), and motor (fine/gross) domains of the Bayley-3 were selected for use within this study, as they were the domains which had been culturally adapted. The Social-Emotional and Adaptive Behavior domains were not adapted due to the cross-cultural challenges in interpreting appropriate emotional status and behavior when compared to the normative population. One research assistant received training and approval to administer the Bayley-3 by a certified trainer and was blinded to study participants' HIV status prior to Bayley-3 administration. Caregivers completed a questionnaire containing demographic information and basic medical history, including birth history and HIV status. While clinical staff aided in identifying potentially eligible study participants, the HIV status was self-reported by caregivers. The caregiver also provided information on depressive symptoms using the Patient Health Questionnaire (PHQ-9) (16), UNICEF multiple cluster survey questions related to child stimulation (17), and socioeconomic status (SES), measured using the Wealth-Assets-Maternal Education-Income (WAMI index) (18). Anthropometric measurements were obtained at study staff. Each child's body mass and standing height was measured twice and if a discrepancy existed between the two measurements, the average was taken. Standing height was obtained in children <24 months to optimize measurement precision within the cohort. Weight was recorded to 0.1 kg and height was recorded to the 5 mm. Scale used: Salter 9,028 Razor Ultra Slim Technology Electronic Scale. Height measured with Seca 213 Portable Stadiometer Height-Rod. A blood sample was taken at enrollment to measure iron-deficiency anemia (IDA) using hemoglobin and serum ferritin. While the primary data regarding IDA is presented elsewhere (19), this variable was included within the regression analysis, as it is a known risk factor for worse neurodevelopmental outcomes (20). We classified a child as having IDA if (1) hemoglobin concentration was <118 g/L, based on World Health Organization-published algorithm for individuals living ≥2,000 meters in elevation, consist with local elevation (16); and (2) ferritin concentrations <12 μg/L. Study data were managed using REDCap, hosted at IUSM (21). At the time of this study's inception, data were limited regarding Bayley-3 scores within an international setting with children who were HEU and HUU. We used differences in rates of developmental delay among children who were HIV+ and HEU (22) to perform sample size calculations. With a margin of error of 5 points and 95% confidence interval, a sample size of 72 individuals per group was needed to determine a difference among groups. We aimed to recruit 75 per group to allow for a number who may not complete all study activities. Characteristics of children and caregivers were summarized for the total cohort and by HIV status. For continuous variables, the mean and standard deviation (SD) were reported, and differences among HIV groups were assessed using one-way ANOVA. For categorical variables, the frequency and percentage were presented, and proportions were compared using the chi-square test. Anthropometric measurements (height and weight) were converted to height-for-age z-scores, weight-for-age z-scores, and weight-for-height z-scores using the modeling defined by the WHO (23). Multivariable linear regression models were used to examine the associations between scores from neurodevelopmental subtests and predictors. Potential predictors were identified using two methods: (1) a priori using clinical judgement and (2) when corresponding p-values of 0.05 were found among the three groups (HIV+, HEU, and HUU) within univariable analyses. Main effect estimates, standard errors (SE), 95% confidence intervals (CI), and significance tests for the predictors were produced. All caregivers provided written informed consent for their child's participation in this study. The study was approved by Institutional Review Boards at IUSM in Indianapolis, USA and MUSM in Eldoret, Kenya.

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Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Telemedicine: Implementing telemedicine services can allow pregnant women in remote areas to access prenatal care and consultations with healthcare providers without the need for travel.

2. Mobile clinics: Setting up mobile clinics that travel to rural and underserved areas can provide essential prenatal care, including check-ups, vaccinations, and education on maternal health.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in their communities, especially in areas with limited access to healthcare facilities.

4. Mobile applications: Developing mobile applications that provide information and resources on maternal health, including prenatal care guidelines, nutrition advice, and appointment reminders.

5. Maternal health vouchers: Introducing voucher programs that provide financial assistance to pregnant women, enabling them to access quality prenatal care and essential services.

6. Public-private partnerships: Collaborating with private healthcare providers to expand access to maternal health services, such as offering subsidized or free prenatal care to low-income women.

7. Maternal health awareness campaigns: Conducting targeted awareness campaigns to educate women and their families about the importance of prenatal care, early detection of complications, and available support services.

8. Maternal health clinics within existing healthcare facilities: Establishing dedicated maternal health clinics within existing healthcare facilities to ensure specialized care and resources for pregnant women.

9. Transportation support: Providing transportation services or subsidies to pregnant women in remote areas to overcome geographical barriers and enable them to access healthcare facilities for prenatal care and delivery.

10. Strengthening healthcare infrastructure: Investing in improving healthcare infrastructure, including the construction and renovation of healthcare facilities, to ensure adequate and accessible maternal health services.

It’s important to note that the specific context and needs of the community should be considered when implementing these innovations to ensure their effectiveness and sustainability.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health and address the neurodevelopmental outcomes of young children born to HIV-infected mothers is as follows:

1. Strengthen maternal mental health support: Given the higher levels of depressive symptoms observed among mothers of children who are HIV-exposed but uninfected (HEU), it is important to prioritize mental health support for these mothers. This can be done through the integration of mental health services within maternal health programs, providing counseling and support groups, and training healthcare providers to identify and address maternal mental health issues.

2. Enhance early childhood development interventions: Early intervention is crucial for promoting optimal neurodevelopment in young children. Implementing comprehensive early childhood development interventions that focus on cognitive, language, and motor development can help mitigate the potential negative effects of HIV exposure. These interventions can include play-based learning activities, stimulation programs, and parent-child interaction programs.

3. Improve access to HIV prevention and treatment services: Ensuring that pregnant women have access to HIV prevention and treatment services is essential for reducing the risk of HIV transmission to their children. This can be achieved by strengthening the implementation of prevention of mother-to-child transmission (PMTCT) programs, providing antiretroviral therapy (ART) to pregnant women living with HIV, and promoting HIV testing and counseling during pregnancy.

4. Enhance healthcare provider training: Healthcare providers play a critical role in identifying and addressing the neurodevelopmental needs of children born to HIV-infected mothers. Providing training and capacity-building opportunities for healthcare providers on early childhood development, HIV-related neurodevelopmental risks, and appropriate screening and referral processes can improve the quality of care provided to these children.

5. Strengthen collaboration and coordination: Collaboration between different stakeholders, including healthcare providers, researchers, policymakers, and community organizations, is essential for developing and implementing effective interventions to improve access to maternal health and address neurodevelopmental outcomes. Strengthening coordination mechanisms, sharing best practices, and fostering partnerships can enhance the overall impact of efforts to improve maternal and child health.

It is important to note that these recommendations are based on the findings of the pilot study described and may need to be further validated and adapted to the specific context and resources available in different settings.
AI Innovations Methodology
In order to improve access to maternal health, here are some potential recommendations:

1. Strengthening healthcare infrastructure: Investing in healthcare facilities, equipment, and trained healthcare professionals in areas with limited access to maternal health services can help improve access and quality of care.

2. Mobile health (mHealth) interventions: Utilizing mobile technology to provide maternal health information, reminders for prenatal care appointments, and access to telemedicine consultations can help overcome geographical barriers and improve access to maternal health services.

3. Community-based interventions: Implementing community-based programs that provide education, support, and resources for pregnant women and new mothers can help improve access to maternal health services, especially in remote or underserved areas.

4. Financial incentives: Providing financial incentives, such as cash transfers or vouchers, to pregnant women and new mothers who seek maternal health services can help overcome financial barriers and increase access to care.

5. Transportation support: Establishing transportation services or subsidies for pregnant women to access healthcare facilities can help overcome transportation barriers and improve access to maternal health services.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population or region for which access to maternal health services needs improvement.

2. Collect baseline data: Gather data on the current state of access to maternal health services in the target population, including factors such as distance to healthcare facilities, availability of healthcare professionals, utilization rates, and health outcomes.

3. Introduce the recommendations: Implement the recommended interventions, such as strengthening healthcare infrastructure, implementing mHealth interventions, community-based programs, financial incentives, or transportation support.

4. Monitor and collect data: Continuously monitor the implementation of the interventions and collect data on key indicators, such as the number of healthcare facilities established or upgraded, the number of women reached through mHealth interventions, the participation rates in community-based programs, the utilization rates of financial incentives, or the number of women utilizing transportation support.

5. Analyze the data: Analyze the collected data to assess the impact of the interventions on access to maternal health services. This can include comparing pre- and post-intervention data, conducting statistical analyses to determine changes in utilization rates or health outcomes, and identifying any disparities or challenges that may have arisen.

6. Evaluate the results: Evaluate the effectiveness of the interventions in improving access to maternal health services based on the analyzed data. Assess the extent to which the recommendations have addressed the identified barriers and improved access to care.

7. Refine and adjust: Based on the evaluation results, refine and adjust the interventions as needed to further improve access to maternal health services. This may involve scaling up successful interventions, addressing any challenges or barriers that were identified, or exploring additional strategies to enhance access.

By following this methodology, it is possible to simulate the impact of recommendations on improving access to maternal health and make informed decisions on how to best allocate resources and implement interventions.

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