Factors associated with non-attendance at scheduled infant follow-up visits in an observational cohort of HIV-exposed infants in South Africa, 2012-2014

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Study Justification:
The study aimed to understand the factors associated with non-attendance at scheduled follow-up visits for HIV-exposed infants in South Africa. This information is important for improving child health and preventing vertical HIV transmission. By identifying the factors contributing to missed visits, targeted interventions can be developed to reduce non-attendance and improve HIV care for infants.
Study Highlights:
1. The proportion of eligible infants with missed visits was lowest at 3 months (32.7%) and 18 months (31.0%), and highest at 12 months (37.6%).
2. HIV-positive mothers not on triple antiretroviral therapy (ART) by 6 weeks postpartum had a significantly increased occurrence rate of missed visits.
3. Unknown infant nevirapine-intake status increased the rate of missed visits.
4. Mothers older than 24 years had lower rates of missed visits.
5. Shorter travel time to health facility lowered the occurrence of missed visits.
Study Recommendations:
1. Targeted interventions should be developed to address the factors contributing to missed visits, such as late initiation of maternal ART and infant prophylaxis, and extended travel time to clinics.
2. The current PMTCT Option B+ policy should be evaluated and modified to address the identified risk factors and reduce missed visits during HIV care for infants.
Key Role Players:
1. Healthcare providers: They play a crucial role in implementing targeted interventions and ensuring follow-up visits for HIV-exposed infants.
2. Policy makers: They need to review and modify the PMTCT policies based on the study findings to improve attendance at scheduled follow-up visits.
3. Community health workers: They can assist in educating and supporting caregivers to ensure regular attendance at follow-up visits.
4. Caregivers: They need to be actively involved in their infant’s healthcare and attend scheduled follow-up visits.
Cost Items for Planning Recommendations:
1. Training and capacity building for healthcare providers and community health workers to implement targeted interventions.
2. Development and dissemination of educational materials for caregivers.
3. Transportation support for caregivers who have longer travel times to health facilities.
4. Monitoring and evaluation of the interventions to assess their effectiveness and make necessary adjustments.
Please note that the cost items provided are general suggestions and may vary based 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 fairly strong, but there are some areas for improvement. The study conducted a secondary analysis of data from a nationally representative observational cohort study, which adds credibility to the findings. The study design and methods are described in detail, allowing for replication and evaluation of the study. The statistical analyses used appropriate models to assess factors associated with missed visits. However, the abstract could be improved by providing more specific information about the sample size, the magnitude of the associations found, and the implications of the findings. Additionally, it would be helpful to include information about any limitations of the study and suggestions for future research.

BACKGROUND: Since 2001 the South African guidelines to improve child health and prevent vertical HIV transmission recommended frequent infant follow-up with HIV testing at 18 months postpartum. We sought to understand non-attendance at scheduled follow-up study visits up to 18 months, and for the 18-month infant HIV test amongst a nationally representative sample of HIV exposed uninfected (HEU) infants from a high HIV-prevalence African setting. METHODS: Secondary analysis of data drawn from a nationally representative observational cohort study (conducted during October 2012 to September 2014) of HEU infants and their primary caregivers was undertaken. Participants were eligible (N = 2650) if they were 4-8 weeks old and HEU at enrolment. All enrolled infants were followed up every 3 months up to 18 months. Each follow-up visit was scheduled to coincide with each child’s routine health visit, where possible. The denominator at each time point comprised HEU infants who were alive and HIV-free at the previous visit. We assessed baseline maternal and early HIV care characteristics associated with the frequency of ‘Missed visits’ (MV-frequency), using a negative binomial regression model adjusting for the follow-up time in the study, and associated with missed visits at 18 months (18-month MV) using a logistic regression model. RESULTS: The proportion of eligible infants with MV was lowest at 3 months (32.7%) and 18 months (31.0%) and highest at 12 months (37.6%). HIV-positive mothers not on triple antiretroviral therapy (ART) by 6-weeks postpartum had a significantly increased occurrence rate of ‘MV-frequency’ (adjusted incidence rate ratio, 1.2 (95% confidence interval (CI), 1.1-1.4), p  24 years had a significantly reduced rate of ‘MV-frequency’ (p ≤ 0.01) and risk of ’18-month-MV’ (p < 0.01) compared to younger women. Shorter travel time to health facility lowered the occurrence of 'MV-frequency' (p ≤ 0.004). CONCLUSION: Late initiation of maternal ART and infant prophylaxis under the Option- A policy and extended travel time to clinics (measured at 6 weeks postpartum), contributed to higher postnatal MV rates. Mothers older than 24 years had lower MV rates. Targeted interventions may be needed during the current PMTCT Option B+ (lifelong ART to pregnant and lactating women at HIV diagnosis) to circumvent these risk factors and reduce missed visits during HIV-care.

Secondary analysis of data drawn from a nationally representative observational cohort study of HEU infants and their primary caregivers was conducted. The main study, conducted between October 2012 and September 2014, aimed to measure postnatal mother-to-child transmission of HIV (MTCT) between 6 weeks and 18 months postpartum and these primary results are being presented in a separate manuscript. The cohort was recruited from 6 weeks postpartum cross-sectional survey conducted in 2012 whose methods have been previously published [8]; briefly, the study was conducted at public primary health care clinics and community health centres nationwide offering immunisation services. A nationally-representative sample of facilities was selected through a multistage probability proportional to size sampling approach. HIV Enzyme-linked immunosorbent assay (EIA) was used to confirm infant HIV exposure at 6 weeks of age. Infants who were HIV-exposed but not HIV PCR positive (i.e., HEU infants) at 6 weeks old were eligible for postnatal follow-up. Ethics approval for the study was granted by the South African Medical Research Council Ethics Committee, and approval was also obtained from the Centers for Disease Control and Prevention. All caregivers signed informed consent. The 6 week and 18 month HIV tests in this study were routine tests. A final sample of 2650 eligible caregiver-infant pairs who provided signed informed consent to take part in the cohort study was used in this secondary analysis. The cohort was followed up from October 2012 until September 2014. Participants were given study inconvenience allowances at each visit of USD$2.50 in October 2012, increased to USD$6.00 in January 2014. PMTCT Option A policy (maternal AZT plus infant ARV prophylaxis to prevent MTCT and infant prophylaxis until 1 week after cessation of breastfeeding) was in use in South Africa during the start of the study to March 2013. Subsequently, PMTCT Option B (maternal triple ARV prophylaxis to prevent MTCT and infant prophylaxis for the first 4–6 weeks regardless of feeding status) was adopted in April 2013 and was in use during the remainder of the study period [9]. The recruited HEU infants and their caregivers were followed up at 3, 6, 9, 12, 15 and 18 months post-partum. Data collectors attempted to coincide these study follow-up visits with routine follow-up visits during the same time interval and drew blood for infant HIV testing at each of the visits. Socio-demographic background information were collected at 6 weeks postpartum (baseline). Since the primary outcome for the cohort study was HIV incidence and death in HIV-exposed infants, the length of follow-up for each infant was determined by one of the following three scenarios: (i) until study end-point at 18 months postpartum if they remained HIV negative; (ii) up-to-the time point of infant seroconversion where after they presented for one exit interview to assess access to care or lastly, (iii) up-to-the time of death if they died before the study end-point or before HIV seroconversion. This secondary analysis focusses on non-attendance of the six scheduled postnatal care study visits (at 3, 6, 9, 12, 15 and 18 months postpartum) and non-attendance of the 18-month postpartum visit. We studied non-attendance at scheduled visits, operationalised as ‘missed visit’, (abbreviated here as MV), for an infant who was eligible for that visit. Infants eligible for a visit were those enrolled at baseline who were alive and free of HIV at the previous visit. Repeated MV was observed for some participants; therefore, we also present simple proportions with 95% confidence intervals (CI) of MV at each follow-up study time point, i.e., per time-point MV. Two scenarios of MV were of primary interest: The first, (i) ‘MV frequency’ defined as the number of MV across a participant’s exposure time over the study period. Exposure time is simply the number of months linked to scheduled eligible study visit points up to the end of the study (18 months postpartum) or time of death or HIV-infection. In this case, MV was a count variable, counting the number of missed eligible visits from 0 (attended all of them) through to 6 (was eligible for all study visits and never attended any of them). Exposure time ranged from 1 (if death or HIV-infection occurred at the 3-month point) to 6 (if either HIV-infection or death occurred after 18 months or never occurred during the study period. The second, (ii) 18-month MV, was a binary variable of failure to attend or not among those still eligible to attend this visit. The 18-month MV was of special interest because this visit was scheduled to coincide with the routine 18-month postpartum rapid HIV testing of the enrolled infant and the exit point from the PMTCT programme. Purposively selected baseline socio-demographic characteristics, and health-care information was assumed to have some direct or indirect influence on the uptake of scheduled visits. The independent variables were evaluated for potential association with MV including relationship between the caregiver and the infant at the six-week enrolment, mother’s age, mother’s highest education level, marital status. We also evaluated whether infant was ever breastfed, disclosure of maternal HIV status to family or friends, ever facing discrimination due to HIV status, knowledge of MTCT modes, maternal ART use at 6 weeks postpartum, whether infant had been given nevirapine after birth, infant birth weight, infant hospitalization, means of transport used and time taken to access the facility, socio-economic status (SES) ranking and province. SES was extracted from a calculation using the full cross-sectional sample available at 6 weeks postpartum. In the full cross-sectional dataset, SES was calculated using principal component analyses from household characteristics (which included the type of housing, sanitation, water and fuel), household possessions (such as TV, stove, radio), any food shortage and source of income [10]. A Chi-squared test was used in the descriptive statistics of these independent variables at baseline and by ‘per time-point MV’. None of the chosen independent variables had more than 10% missing data. Of those with some missing data, if excluding missing data changed the 95% CI of observed estimates on known categories of the variable, then an additional category for ‘unknown’ responses was added to the variable in the statistical and descriptive analyses in order to minimise deviation from actual observed estimates and to keep the survey structure and sampling weights accurate on the rest of the data. Two sets of analyses were conducted, to assess factors associated with ‘MV frequency’, and ‘18-month MV’, separately. To assess the former, a regression model for a count outcome variable allowing varying exposure time periods was most suitable for the data. However, the assumption of a Poisson regression model for a count outcome (i.e., data are not overly dispersed), was not met. Considering that the outcome was expected to have zeros from participants who missed all their eligible visits (exposed), a zero-inflated binomial regression model was used to confirm whether the data were zero-inflated. The assumption of zero-inflation was rejected (z = 6.44, p < 0.0001). The final model used for identifying predictors of MV frequency was, therefore, a negative binomial regression, with survey set functions and exposure times specified [11, 12]. Bivariate analyses were first run between each independent factor and the primary outcome and a Wald test (corrected for survey structure and including the exposure time variable) performed to see if the coefficients were significantly non-zero using a p-value cut-off of < 0.25. Independent factors with a Wald test p < 0.25 were then included in a multivariable analysis model. Those factors which had overall non-significant Wald tests but with p < 0.05 for the coefficients of sub-categories were then included in the multivariable model and retained if they caused a large change (a shift of the 95% CI) on the coefficients of any variables which were already in the model. The final multivariable model included seven of the 15 independent variables; maternal age, caregiver status, the disclosure of maternal HIV status, infant ever being on nevirapine, the mother being on ART, common means of transport and province. Adjusted point estimates are presented here. To identify factors associated with ‘18-month MV’, a logistic regression model, with survey settings specified, was used. For ‘18-month MV’, ten factors (maternal age, education level, whether infant ever breastfed, disclosure of maternal HIV status, being discriminated against, knowledge of MTCT modes, mother being on ART at 6 weeks, infant having taken nevirapine by 6 weeks, SES and province) were eligible for inclusion in the final multivariable model. All analyses were performed in STATA SEv13. Sampling weights were applied to all reported proportions and statistical analyses to adjust for sample ascertainment in the original cohort and non-consent for postnatal follow-up amongst all those eligible for postnatal enrolment.

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

1. Mobile Health (mHealth) Solutions: Develop mobile applications or SMS-based systems to send reminders and provide information about scheduled follow-up visits. This can help caregivers stay informed and ensure they don’t miss important appointments.

2. Community Health Workers: Train and deploy community health workers to provide education, support, and reminders to caregivers in their local communities. These workers can help address barriers to accessing maternal health services and provide personalized care.

3. Transportation Support: Establish transportation services or subsidies to help caregivers overcome travel barriers and reach healthcare facilities for scheduled visits. This can include providing vouchers for public transportation or arranging community-based transportation options.

4. Integrated Care: Implement integrated care models where maternal health services are provided alongside other essential services, such as immunizations or well-child visits. This can reduce the need for multiple visits and make it easier for caregivers to access the care they need.

5. Peer Support Groups: Create peer support groups for caregivers to share experiences, provide emotional support, and exchange information about maternal health services. These groups can help reduce stigma, increase knowledge, and encourage attendance at scheduled visits.

6. Telemedicine: Utilize telemedicine technologies to provide virtual consultations and follow-up visits. This can be particularly beneficial for caregivers who face geographical or logistical challenges in accessing healthcare facilities.

7. Health Education Campaigns: Launch targeted health education campaigns to raise awareness about the importance of maternal health services and the potential consequences of missed visits. These campaigns can be conducted through various channels, including community events, radio, television, and social media.

8. Financial Incentives: Explore the use of financial incentives, such as conditional cash transfers or reimbursement for transportation costs, to motivate caregivers to attend scheduled visits. This can help alleviate financial barriers and increase attendance rates.

9. Home-Based Care: Offer home-based maternal health services for caregivers who are unable to visit healthcare facilities due to various reasons. This can include home visits by healthcare providers or the use of telemedicine technologies for remote consultations.

10. Quality Improvement Initiatives: Implement quality improvement initiatives at healthcare facilities to ensure that services are accessible, efficient, and patient-centered. This can involve streamlining processes, reducing waiting times, and improving the overall patient experience.

It is important to note that the specific context and needs of the target population should be considered when implementing these innovations.
AI Innovations Description
Based on the provided description, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Implement targeted interventions: Based on the findings of the study, targeted interventions should be developed and implemented to address the factors associated with non-attendance at scheduled infant follow-up visits. These interventions should focus on improving maternal ART initiation and infant prophylaxis, as well as reducing travel time to health facilities.

2. Improve maternal ART initiation: Late initiation of maternal ART was found to be associated with higher rates of missed visits. To address this, innovative strategies can be developed to ensure timely initiation of ART for HIV-positive mothers, such as mobile clinics or community-based ART initiation programs.

3. Enhance infant prophylaxis: Unknown infant nevirapine-intake status was found to increase the rate of missed visits. To improve infant prophylaxis, innovative approaches can be implemented, such as mobile clinics or home-based visits, to ensure that infants receive the necessary medication.

4. Reduce travel time to health facilities: Shorter travel time to health facilities was associated with lower rates of missed visits. To address this, innovative solutions can be implemented, such as providing transportation vouchers or establishing satellite clinics in remote areas to reduce the travel burden for mothers.

5. Increase awareness and education: Improving knowledge of MTCT modes and promoting disclosure of maternal HIV status to family and friends can help reduce stigma and discrimination, which may contribute to missed visits. Innovative approaches, such as community-based education programs or mobile health apps, can be utilized to increase awareness and provide support to HIV-positive mothers.

By implementing these recommendations as innovative solutions, access to maternal health can be improved, leading to better outcomes for both mothers and infants.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations for improving access to maternal health:

1. Strengthening maternal ART initiation: Ensuring that HIV-positive mothers initiate antiretroviral therapy (ART) early in the postpartum period can help reduce missed visits and improve access to maternal health services. This could involve targeted interventions to promote early ART initiation and improve adherence to treatment.

2. Improving infant prophylaxis: Enhancing the provision of nevirapine to infants after birth can contribute to reducing missed visits and improving access to maternal health. This may involve strategies such as training healthcare providers on the importance of infant prophylaxis and ensuring the availability of nevirapine at healthcare facilities.

3. Reducing travel time to healthcare facilities: Shorter travel time to health facilities has been associated with lower rates of missed visits. Implementing measures to reduce travel time, such as establishing satellite clinics or mobile healthcare units in remote areas, can help improve access to maternal health services.

4. Targeted interventions for younger mothers: Younger mothers have been found to have higher rates of missed visits. Implementing targeted interventions, such as peer support programs or educational campaigns, specifically tailored to younger mothers can help address this issue and improve access to maternal health services.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the outcome measure: Determine a specific outcome measure that reflects improved access to maternal health, such as the percentage of scheduled visits attended or the time taken to access healthcare facilities.

2. Collect baseline data: Gather data on the current state of access to maternal health services, including the frequency of missed visits, travel time to healthcare facilities, and demographic information of the target population.

3. Implement interventions: Implement the recommended interventions, such as strengthening maternal ART initiation, improving infant prophylaxis, and reducing travel time to healthcare facilities.

4. Monitor and collect data: Continuously monitor the implementation of interventions and collect data on the outcome measure. This could involve tracking the attendance of scheduled visits, measuring travel time to healthcare facilities, and collecting demographic information of the target population.

5. Analyze the data: Analyze the collected data to assess the impact of the interventions on the outcome measure. This could involve comparing the pre-intervention and post-intervention data to determine any changes in access to maternal health services.

6. Evaluate the results: Evaluate the results of the analysis to determine the effectiveness of the interventions in improving access to maternal health. This could involve assessing the percentage change in the outcome measure and identifying any significant differences between the pre-intervention and post-intervention data.

7. Refine and iterate: Based on the evaluation results, refine the interventions if necessary and iterate the process to further improve access to maternal health services.

It is important to note that this methodology is a general framework and the specific details may vary depending on the context and resources available.

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