An approach for evaluating early and long term mother-to-child transmission of HIV (MTCT) in low and middle income countries: a South African experience

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Study Justification:
– The study aims to evaluate the impact of programs to prevent mother-to-child transmission of HIV (PMTCT) in low and middle income countries, specifically in South Africa.
– This evaluation is important in order to monitor the effectiveness of PMTCT programs and work towards the global public health target of eliminating mother-to-child transmission of HIV.
Highlights:
– The study conducted three cross-sectional surveys in primary health care immunization service points in South Africa from 2010-2014.
– Infants aged 4-8 weeks receiving their six-week immunization at a sampled facility were eligible to participate.
– Trained research nurses conducted interviews and took infant dried blood spot samples for HIV testing.
– The study also established a national closed cohort of HIV-exposed infants to estimate longer-term PMTCT impact up to 18 months.
– Follow-up analyses were conducted to estimate cumulative mother-to-child transmission of HIV, postnatal transmission, and HIV-free survival.
– The study used a weighted cumulative incidence analysis, adjusting for survey design effects.
Recommendations:
– The study recommends the use of national surveys to monitor the effectiveness of PMTCT programs in the absence of robust routine medical recording systems.
– It highlights the importance of follow-up studies to estimate long-term PMTCT impact and HIV-free survival.
– The study emphasizes the need for improved retention in care to effectively monitor long-term outcomes.
Key Role Players:
– Trained research nurses
– Primary health care facilities
– National Health Laboratory services
– National Department of Health
Cost Items for Planning Recommendations:
– Training and salaries for research nurses
– Laboratory testing costs
– Mobile phone platform for data collection
– Data management and analysis
– Participant contact information database
– Referral cards for participants
– Situational assessment for mapping referral sites
– Sample weights calculation for adjusting study findings
– Ethical considerations and approval processes

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is fairly strong, but there are some areas for improvement. The study design is robust, with three cross-sectional surveys conducted over a period of four years. The surveys used a probability-based sampling method and included a large number of primary health care facilities. The surveys collected data on a range of variables related to mother-to-child transmission of HIV, including interviews and infant dried blood spot samples. The findings were adjusted for study design and weighted for the number of live births in each study round. However, the abstract does not provide information on the sample size or response rate, which could affect the generalizability of the findings. Additionally, the abstract mentions that poor retention in care makes monitoring long-term outcomes difficult, but does not provide any suggestions for improving retention rates. To improve the strength of the evidence, the authors could provide more details on the sample size, response rate, and strategies for improving retention in care.

BACKGROUND: Eliminating mother-to-child transmission of HIV is a global public health target. Robust, feasible methodologies to measure population level impact of programmes to prevent mother-to-child transmission of HIV (PMTCT) are needed in high HIV prevalence settings. We present a summary of the protocol of the South African PMTCT Evaluation (SAPMTCTE) with its revision over three repeated rounds of the survey, 2010-2014. METHODS: Three cross sectional surveys (2010, 2011-2012 and 2012-2013) were conducted in 580 primary health care immunisation service points randomly selected after stratified multistage probability proportional to size sampling. All infants aged 4-8 weeks receiving their six-week immunisation at a sampled facility on the day of the visit were eligible to participate. Trained research nurses conducted interviews and took infant dried blood spot (iDBS) samples for HIV enzyme immunoassay (EIA) and total nucleic acid polymerase chain reaction (PCR) testing. Interviews were conducted using mobile phones and iDBS were sent to the National Health Laboratory for testing. All findings were adjusted for study design, non-response, and weighted for number of South African live-birth in each study round. In 2012 a national closed cohort of these 4 to 8-week old infants testing EIA positive (HIV Exposed Infants) from the 2012-2013 cross-sectional survey was established to estimate longer-term PMTCT impact to 18 months. Follow-up analyses were to estimate weighted cumulative MTCT until 18 months, postnatal MTCT from 6 weeks until 18 months and a combined outcome of MTCT-or-death, using a competing risks model, with death as a competing risk. HIV-free survival was defined as a child surviving and HIV-negative up to 18 months or last visit seen. A weighted cumulative incidence analysis was conducted, adjusting for survey design effects. DISCUSSION: In the absence of robust high-quality routine medical recording systems, in the context of a generalised HIV epidemic, national surveys can be used to monitor PMTCT effectiveness; however, monitoring long-term outcomes nationally is difficult due to poor retention in care.

Cross-sectional national probability-based primary health care facility-based surveys, using an HIV biomedical marker (HIV antibody testing) to determine infant HIV exposure, and a virological test to measure perinatal HIV transmission amongst biomarker positive (HIV exposed) infants (HEI) were conducted at 4–8 weeks post-delivery from June–December 2010, August 2011–March 2012 and October 2012–May 2013 [15, 16]. The sampling frame for the primary sampling units (PSU) were public (government-funded) Primary Health Care (PHC) clinics and Community Health Centres (CHC) reportedly administering six-week immunisations (DPT1 or Pentaxim1 or the hexavalent vaccine), as documented in the South African National District Health Information System (DHIS). While other public facilities do administer immunizations (hospitals, mobile clinics), these PHC clinics and CHC are the primary locations for routine primary child health services. Data from the 2007 DHIS was used to obtain this sampling frame of eligible facilities and included the number of DTP1 administrations done in each facility for that year. The sampling design was stratified by the nine provinces. Eligible facilities were stratified on the number of annual immunizations reported with three strata based on reported annual DTP1 administration:  300 immunizations per annum. The stratum of the small facilities ( 300 immunizations per annum in the sampling frame were also stratified in two strata (≥29% or  95% coverage of 6 week immunisation (1stDTP dose) [19], making these clinics an ideal catchment point for young infants. Infants accessing selected public primary health care clinics or community health centres were eligible for the cross-sectional surveys if they were: a) receiving their six-week immunization on the day of data collection, and b) 4–8 weeks old, c) did not need emergency medical care, and d) their mother/legal caregiver consented to participate in the survey. Infants were enrolled into follow-up if: a) their mother reported as being HIV positive and/or their HIV antibody test was positive, and b) they consented to follow-up. Infants remained eligible for on-going follow-up until 18 months if their PCR tests remained negative (i.e. HIV exposed uninfected infants). As noted above, if the infant PCR was positive at 6 weeks or became positive at any follow-up visit they received one additional follow-up visit to assess access to paediatric treatment, with appropriate referrals if infants had not accessed HIV care. To determine the sample size for each province, HIV prevalence was calculated based on the provincial antenatal survey prevalence and coverage of PMTCT ARV prophylaxis. Estimates of transmission rates for Sd-NVP and no treatment were taken from Rollins [12] while the transmission rate for dual therapy came from a provincial survey from KwaZulu Natal province (unpublished data, 2009). To balance samples across the nine provinces, absolute precision specified varied from 1 to 2%, with relative precisions of 22 to 60%. In general, provinces with a higher prevalence will have a lower (better) relative precision. These specifications resulted in better equity in sample size between provinces. Using this approach, the largest sample in a province was 1800 (Gauteng) and the smallest was 700 (Northern Cape) with a total sample size of 12,200 across all provinces (Table 1). Sample size calculation for the cross-sectional surveys Table 2 illustrates the sample size calculation for valid national estimates of 18 month MTCT and HIV-free survival. The red box in Table ​Table22 highlights the target sample size selected for 18-month MTCT, and the green box highlights the target sample size selected for HIV-free survival estimates. These calculations demonstrated that assuming a design effect of 2, 18-month MTCT of 5% (3.5–6.5%) and 10% (7–13%) HIV infection or death, 1620 infants were needed to estimate MTCT and 768 infants are needed to estimate HIV infection or death with the indicated precision. Assuming 30% loss to follow-up, 2314 infants needed to be enrolled into the follow-up study to estimate both MTCT and HIV-free survival. Sample size calculation for follow-up component Footnote: The bolded boxes highlight the sample sizes selected to estimate HIV infection or death (green box) or 18-month MTCT only (red box), with 30% precision, a design effect of 2 and assuming 20 or 30% loss to follow-up. These show that assuming a design effect of 2, 18-month MTCT of 5% (3.5–6.5%) and 10% (7–13%) MTCT or death, 1620 infants are needed to estimate MTCT and 768 infants are needed to estimate HIV or death. Assuming 30% loss to follow-up, 2314 infants need to be enrolled to estimate MTCT and HIV-free survival. Sample size calculations were made using standard nQuery Version 4.0 Trained nurse data collectors recruited mothers/caregivers from the PHC/CHC waiting room during immunisation days. Data collectors introduced themselves and the study verbally and in written form using a standardised information sheet. A screening questionnaire was administered to determine eligibility and then full informed consent was completed for eligible infants (see below). If an eligible mother/legal caregiver-infant pair agreed to be interviewed, the interview was conducted in a private location. Data were gathered using a questionnaire adapted from several validated tools [11, 12, 20]. The questionnaire included information on maternal age, parity, socio-economic status, antenatal care, HIV testing, maternal HIV status, PMTCT care during pregnancy and delivery, infant feeding counseling, birth information, infant feeding practices, infant weight; immunisations, postnatal visits and illness since birth. Legal (non-maternal) caregivers were administered a shorter version of the questionnaire that excluded antenatal care and PMTCT programme information. Trained research nurses also collected infant heel prick dried blood spot samples during infant immunization visits, from all consented infants, regardless of reported maternal HIV status or ARV exposure. The blood testing replaced the routine testing for HIV PCR as part of the PMTCT programme during the period of the study as it was felt to be inappropriate to bleed a child twice during the same clinic visit. Trained research nurses worked from immunization clinics to facilitate standardization of procedure and data quality control. They offered routine HIV testing to all infants attending the clinic for immunization, thus preventing the testing of a potentially biased sample of infants: routine PMTCT EID clinics only test known HIV-exposed infants. Additionally, we found that maternal request for early infant diagnosis of HIV infection (EID) during the routine immunization services were low (47%) [21]. The mothers/caregivers were informed that the infant testing would also act as a biomedical marker for HIV status of the mother and that she may need to have further follow-up including HIV counselling and testing (HCT). For the cohort study, the same trained research nurses used contact details obtained at cohort enrollment to arrange to meet the mother/legal caregiver-infant pairs during routine follow-up for all HEU at the health facility at 3, 6, 9, 12, 15 and 18 months. Interviews were completed and iDBS were taken for HIV PCR at 3, 6, 9, 12 and 15 months as the national guidelines did not recommend routine blood testing during these visits. During the 18 month visit the routine in-clinic HIV rapid test was used to document 18-month infant HIV status. The iDBS were sent to a centralized accredited laboratory (National Institute for Communicable Diseases, a division of the National Health Laboratory services) for HIV enzyme immunoassay (EIA) testing, followed by HIV total nucleic acid polymerase chain reaction (TNA PCR) testing on EIA positive samples. All EIA positive samples were serially tested for HIV infection with a second HIV EIA test, and 10% of negative samples were re-tested using a second test. Discordant first and second EIA test results underwent additional testing using Western Blot. Details about laboratory procedures have been published previously [15, 16]. Questionnaire data were entered in a mobile phone platform and transferred electronically to a central server for data management and data analysis. This is described in detail in another paper in this supplement [Ref pending]. The Ethics Committee of the South African Medical Research Council (SAMRC), provincial Ethics Committees, and the Centers for Disease Control and Prevention, Atlanta, approved the study protocol. All eligible mothers/primary caregivers (14+ years of age) were taken through a written informed consent process. Pregnant adolescents age 14–17 are considered emancipated minors in South Africa and were eligible for study participation. The process was conducted in the language of the participant and information sheets were translated into all South African official 11 languages. Consent forms were completed in duplicate, and one copy was given to the participant and confidentiality discussed and the other sent to the SAMRC offices. At the end of the interview, if the mother reported being HIV-positive and hence eligible for the follow-up study, a second consent process was conducted, followed by the completion of a second consent form. A participant contact information form was completed for all participants who agreed to follow-up and this was stored in a password protected database and could only be accessed by the data collector allocated to that participant. All mothers and infants were referred into care (routine maternal HIV testing or CD4 cell count testing or ART) as appropriate using referral cards which stipulated the exact, most convenient and appropriate routine health care setting that could to be accessed for further care. These sites were determined following a situational assessment conducted prior to the surveys. Determining appropriate referral sites for each study clinic and establishing referral protocols for HIV-positive mothers and infants is an important ethical consideration for any PMTCT evaluation. If this information is not already established, then a situational assessment to map referral sites may be needed prior to PMTCT study implementation [21]. Sample weights were calculated for the cross-sectional surveys to adjust for differential sampling design across provinces and the sample realization. To achieve this, the data from provinces were weighted by using the proportional distribution of live births per province recorded in 2008. The realisation weights were done at various levels (district, provincial) depending on the sample size realisation within strata. All findings were adjusted for study design, non-response, and weighted for number of South African live-birth in each study round. For the cohort study, longitudinal data were weighted for ‘no consent’ and ‘loss to follow-up’ amongst HIV exposed uninfected infants eligible for follow-up. Follow-up analyses were to estimate weighted cumulative MTCT until 18 months, postnatal MTCT from 6 weeks until 18 months and a combined outcome of MTCT-or-death, using a competing risks model, with death as a competing risk. HIV-free survival was defined as a child surviving and HIV-negative up to 18 months or last visit seen. A weighted cumulative incidence analysis was conducted, adjusting for survey design effects. Specific details of each analysis will vary depending on analysis objective, but will generally include both descriptive (rates, means, 95% confidence intervals) and analytic analyses (chi-square, ANOVA or logistic regression, with 95% confidence intervals around adjusted estimates).

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Based on the provided information, it seems that the study protocol described in the title and description is focused on evaluating the early and long-term mother-to-child transmission of HIV (MTCT) in low and middle-income countries, specifically in South Africa. The study utilizes cross-sectional surveys and a closed cohort follow-up study to assess the impact of programs to prevent mother-to-child transmission of HIV (PMTCT). The surveys involve sampling primary health care immunization service points and conducting interviews and HIV testing on infants. The follow-up study tracks HIV-exposed infants to estimate MTCT and HIV-free survival rates up to 18 months.

Based on this information, here are some potential innovations that could be considered to improve access to maternal health:

1. Mobile Health (mHealth) Solutions: Utilize mobile phones or other digital technologies to conduct interviews, collect data, and provide health information to pregnant women and new mothers. This can improve access to care, provide timely reminders for appointments and medication adherence, and facilitate communication between healthcare providers and patients.

2. Telemedicine: Implement telemedicine services to enable remote consultations and follow-up visits for pregnant women and new mothers. This can help overcome geographical barriers and improve access to specialized care, especially in rural or underserved areas.

3. Community Health Workers: Train and deploy community health workers to provide maternal health education, support, and referrals in local communities. These workers can bridge the gap between healthcare facilities and communities, ensuring that pregnant women and new mothers receive the necessary care and information.

4. Integrated Health Services: Establish integrated health services that combine maternal health with other essential healthcare services, such as immunizations, family planning, and HIV testing and treatment. This approach can improve access to comprehensive care and increase the likelihood of early detection and treatment of maternal health issues.

5. Health Information Systems: Strengthen health information systems to improve data collection, analysis, and reporting on maternal health indicators. This can help identify gaps in access to care and inform evidence-based decision-making for targeted interventions.

6. Task-Shifting and Training: Expand the roles and responsibilities of healthcare providers, such as nurses and midwives, through task-shifting and training programs. This can help address healthcare workforce shortages and improve access to maternal health services in resource-limited settings.

7. Public-Private Partnerships: Foster collaborations between public and private sectors to leverage resources, expertise, and innovation for improving access to maternal health. This can involve partnerships with technology companies, pharmaceutical companies, and non-governmental organizations to develop and implement innovative solutions.

It’s important to note that these recommendations are general and may need to be tailored to the specific context and needs of the target population. Additionally, the feasibility and effectiveness of these innovations should be evaluated through rigorous research and pilot programs.
AI Innovations Description
Based on the provided description, the recommendation to improve access to maternal health is to conduct cross-sectional national surveys to monitor the effectiveness of programs aimed at preventing mother-to-child transmission of HIV (PMTCT) in low and middle-income countries. These surveys should include the following components:

1. Sampling: Use a stratified multistage probability proportional to size sampling method to select primary health care immunization service points. Randomly select facilities that administer six-week immunizations, which are the primary locations for routine primary child health services.

2. Data Collection: Train research nurses to conduct interviews with mothers/caregivers and collect infant dried blood spot samples for HIV testing. Use mobile phones for interviews and send the samples to a national health laboratory for testing.

3. Follow-up: Establish a closed cohort of HIV-exposed infants from the cross-sectional survey to estimate long-term PMTCT impact up to 18 months. Conduct follow-up visits at 3, 6, 9, 12, 15, and 18 months to assess maternal and child access to care and MTCT. Offer referrals for HIV-positive infants who have not accessed care.

4. Sample Size Calculation: Calculate the sample size needed to estimate MTCT and HIV-free survival with the desired precision. Consider factors such as design effect, transmission rates, and loss to follow-up.

5. Data Analysis: Analyze the collected data using appropriate statistical methods, such as weighted cumulative incidence analysis, to estimate MTCT rates, postnatal MTCT rates, and HIV-free survival. Adjust the findings for study design, non-response, and weighted for the number of live births in each study round.

By implementing these recommendations, policymakers and healthcare providers can obtain valuable data on the effectiveness of PMTCT programs and identify areas for improvement to ensure better access to maternal health services.
AI Innovations Methodology
Based on the provided description, it seems that the focus is on evaluating the impact of programs to prevent mother-to-child transmission of HIV (PMTCT) in South Africa. To improve access to maternal health in this context, here are a few potential recommendations:

1. Strengthening antenatal care services: Enhance the availability and quality of antenatal care services, including HIV testing and counseling, to ensure early identification and treatment of HIV-positive pregnant women.

2. Improving transportation infrastructure: Enhance transportation infrastructure to facilitate access to healthcare facilities, particularly in rural areas where access may be limited.

3. Mobile health (mHealth) interventions: Utilize mobile technology to provide information, reminders, and support to pregnant women, including appointment reminders, medication adherence reminders, and access to teleconsultations with healthcare providers.

4. Community-based interventions: Implement community-based interventions to raise awareness about maternal health, PMTCT, and the importance of seeking healthcare services during pregnancy.

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

1. Define the indicators: Identify specific indicators that reflect access to maternal health, such as the number of pregnant women receiving antenatal care, the percentage of HIV-positive pregnant women receiving PMTCT services, or the distance traveled to access healthcare facilities.

2. Collect baseline data: Gather data on the current status of the selected indicators before implementing the recommendations. This can be done through surveys, interviews, or analysis of existing data sources.

3. Implement the recommendations: Introduce the recommended interventions, such as strengthening antenatal care services, improving transportation infrastructure, implementing mHealth interventions, and community-based interventions.

4. Monitor and evaluate: Continuously monitor the implementation of the recommendations and collect data on the selected indicators. This can be done through regular surveys, interviews, or analysis of routine data.

5. Analyze the impact: Compare the data collected after implementing the recommendations with the baseline data to assess the impact of the interventions on improving access to maternal health. This can be done through statistical analysis, such as calculating changes in percentages or conducting regression analyses.

6. Adjust and refine: Based on the findings, make adjustments and refinements to the interventions as needed to further improve access to maternal health.

By following this methodology, it is possible to simulate the impact of the recommendations on improving access to maternal health and evaluate the effectiveness of the interventions implemented.

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