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Many low- and middle-income countries face challenges in attaining adequate levels of vaccination coverage, and the factors driving this under-coverage have not been completely elucidated. In this cross-sectional study, we investigated factors associated with vaccination coverage in Mopani District, Limpopo Province, South Africa. Between July and October 2017, we surveyed 317 caregivers (83% of whom were mothers) of seven-month-old infants in Mopani District about barriers faced when attaining vaccines and attitudes towards vaccination, and reviewed the infants’ documented vaccination history. Caregiver and child demographic data were collected shortly after birth. We described the coverage for vaccines that should be received by age seven months, according to South Africa’s Expanded Programme on Immunization schedule, and explored the relationship between coverage and caregiver characteristics, behavioral factors (e.g. attitudes towards vaccination), and structural factors (e.g. vaccination stock-outs at clinics). We found that caregivers reported positive attitudes towards vaccination, based on a seven-question survey of vaccination attitudes. Although coverage was high for most recommended vaccines, it was low for pneumococcal conjugate vaccine (PCV), with just 36% of children having received it by age seven months. This appears to have been due to PCV stock-outs at government clinics. For vaccines other than PCV, children were more likely to be up-to-date on vaccinations if a community health worker (CHW) had visited their home in the past month (adjusted odds ratio (OR) 1.24, confidence interval (CI) (1.10–1.41); p

A growing body of evidence shows that early child development varies along a socioeconomic gradient, with poorest outcomes observed in chil- dren from the most disadvantaged environments in low-income countries. Most of this evidence comes from studies using caregiver reports or expert judgments of child behavior. We used eye tracking to examine whether and at what age direct measures of elementary visual behav- ior begin to differ in children experiencing different levels of poverty in rural South Africa. Saccadic reaction times (SRTs) were assessed at child age 7, 17, and 36 months. Mean SRT was inversely associ- ated with household wealth, with slower SRTs observed in children from less wealthy households. This gradient was detectable from 17 months onward, tended to increase in magnitude by age, was not explained by differences in screen time, and was comparable to gradients seen in other developmental outcomes. The results point to pervasive socioeconomic gradient effects in early child development, including objective measures of behaviors that are foundational to early interactions and learning.

This study aimed to characterize patterns of worsening mental health during the postpartum period among women in rural areas of Limpopo Province, South Africa, and to identify correlates with household demographic factors. We collected data on maternal mental health symptoms shortly after birth and then again 7 months postpartum using the World Health Organization self-reporting questionnaire (SRQ-20) from December 2017 to November 2018. The absolute change in SRQ-20 symptom score was calculated to determine worsening mental health over the postpartum period. Linear regressions were performed to investigate factors associated with mental health symptom scores at varying postpartum time points. We found increased reporting of poor mental health symptoms at 7 months postpartum as compared to shortly after birth (n = 224). Worsening maternal mental health over the postpartum period was associated with higher SRQ-20 symptom score shortly after birth (p

Background Effective integration of home visit interventions focused on early childhood development into existing service platforms is important for expanding access in low- and middle-income countries (LMICs). We designed and evaluated a home visit intervention integrated into community health worker (CHW) operations in South Africa. Methods and findings We conducted a cluster-randomized controlled trial in Limpopo Province, South Africa. CHWs operating in ward-based outreach teams (WBOTs; clusters) and caregiver–child dyads they served were randomized to the intervention or control group. Group assignment was masked from all data collectors. Dyads were eligible if they resided within a participating CHW catchment area, the caregiver was at least 18 years old, and the child was born after December 15, 2017. Intervention CHWs were trained on a job aid that included content on child health, nutrition, developmental milestones, and encouragement to engage in developmentally appropriate play-based activities, for use during regular monthly home visits with caregivers of children under 2 years of age. Control CHWs provided the local standard of care. Household surveys were administered to the full study sample at baseline and endline. Data were collected on household demographics and assets; caregiver engagement; and child diet, anthropometry, and development scores. In a subsample of children, electroencephalography (EEG) and eye-tracking measures of neural function were assessed at a lab concurrent with endline and at 2 interim time points. Primary outcomes were as follows: height-for-age z-scores (HAZs) and stunting; child development scores measured using the Malawi Developmental Assessment Tool (MDAT); EEG absolute gamma and total power; relative EEG gamma power; and saccadic reaction time (SRT)—an eye-tracking measure of visual processing speed. In the main analysis, unadjusted and adjusted impacts were estimated using intention-to-treat analysis. Adjusted models included a set of demographic covariates measured at baseline. On September 1, 2017, we randomly assigned 51 clusters to intervention (26 clusters, 607 caregiver–child dyads) or control (25 clusters, 488 caregiver–child dyads). At endline (last assessment June 11, 2021), 432 dyads (71%) in 26 clusters remained in the intervention group, and 332 dyads (68%) in 25 clusters remained in the control group. In total, 316 dyads attended the first lab visit, 316 dyads the second lab visit, and 284 dyads the third lab visit. In adjusted models, the intervention had no significant impact on HAZ (adjusted mean difference (aMD) 0.11 [95% confidence interval (CI): −0.07, 0.30]; p = 0.220) or stunting (adjusted odds ratio (aOR) 0.63 [0.32, 1.25]; p = 0.184), nor did the intervention significantly impact gross motor skills (aMD 0.04 [−0.15, 0.24]; p = 0.656), fine motor skills (aMD −0.04 [−0.19, 0.11]; p = 0.610), language skills (aMD −0.02 [−0.18, 0.14]; p = 0.820), or social–emotional skills (aMD −0.02 [−0.20, 0.16]; p = 0.816). In the lab subsample, the intervention had a significant impact on SRT (aMD −7.13 [−12.69, −1.58]; p = 0.012), absolute EEG gamma power (aMD −0.14 [−0.24, −0.04]; p = 0.005), and total EEG power (aMD −0.15 [−0.23, −0.08]; p < 0.001), and no significant impact on relative gamma power (aMD 0.02 [−0.78, 0.83]; p = 0.959). While the effect on SRT was observed at the first 2 lab visits, it was no longer present at the third visit, which coincided with the overall endline assessment. At the end of the first year of the intervention period, 43% of CHWs adhered to monthly home visits. Due to the COVID-19 pandemic, we were not able to assess outcomes until 1 year after the end of the intervention period. Conclusions While the home visit intervention did not significantly impact linear growth or skills, we found significant improvement in SRT. This study contributes to a growing literature documenting the positive effects of home visit interventions on child development in LMICs. This study also demonstrates the feasibility of collecting markers of neural function like EEG power and SRT in low-resource settings. Trial registration PACTR 201710002683810; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=2683; South African Clinical Trials Registry, SANCTR 4407

This study aimed to characterize patterns of worsening mental health during the postpartum period among women in rural areas of Limpopo Province, South Africa, and to identify correlates with household demographic factors.We collected data on maternal mental health symptoms shortly after birth and then again 7 months postpartum using the World Health Organization self-reporting questionnaire (SRQ-20) from December 2017 to November 2018. The absolute change in SRQ-20 symptom score was calculated to determine worsening mental health over the postpartum period. Linear regressions were performed to investigate factors associated with mental health symptom scores at varying postpartum time points.We found increased reporting of poor mental health symptoms at 7 months postpartum as compared to shortly after birth (n = 224). Worsening maternal mental health over the postpartum period was associated with higher SRQ-20 symptom score shortly after birth (p 0.001) and reported food insecurity at 7 months (p 0.001). SRQ-20 symptom scores in the postpartum period were not associated with breastfeeding in the past 24 h reported at 7 months postpartum (p = 0.08).Women in rural South Africa, like women in many settings, may be vulnerable to worsening postpartum mental health when they lack sufficient socioeconomic resources and when they have pre-existing depressive/anxiety symptoms.

Background Assessment of data quality is essential to successful monitoring & evaluation of tuberculosis (TB) services. South Africa uses the Three Interlinked Electronic Register (TIER.Net) to monitor TB diagnoses and treatment outcomes. We assessed the quality of routine programmatic data as captured in TIER.Net. Methods We reviewed 277 records from routine data collected for adults who had started TB treatment for drug-sensitive (DS-) TB between 10/2018-12/2019 from 15 facilities across three South African districts using three sources and three approaches to link these (i.e., two approaches compared TIER.NET with the TB Treatment Record while the third approach compared all three sources of TB data: the TB treatment record or patient medical file; the TB Identification Register; and the TB module in TIER.Net). We report agreement and completeness of demographic information and key TB-related variables across all three data sources. Results In our first approach we selected 150 patient records from TIER.Net and found all but one corresponding TB Treatment Record (99%). In our second approach we were also able to find a corresponding TIER.Net record from a starting point of the paper-based, TB Treatment Record for 73/75 (97%) records. We found fewer records 55/75 (73%) in TIER.Net when we used as a starting point records from the TB Identification Register. Demographic information (name, surname, date of birth, and gender) was accurately reported across all three data sources (matching 90% or more). The reporting of key TB-related variables was similar across both the TB Treatment Record and the TB module in TIER.Net (p>0.05). We observed differences in completeness and moderate agreement (Kappa 0.41–0.60) for site of disease, TB treatment outcome and smear microscopy or X-ray as a diagnostic test (p Discussion and conclusion Our key finding was that the TB Module in TIER.Net was more complete in some key variables including TB treatment outcome. Most TB patient records we reviewed were found on TIER.Net but there was a noticeable gap of TB Identification patient records from the paper register as compared to TIER.Net, including those who tested TB-negative or HIV-negative. There is evidence of complete and “good/substantial” data quality for key TB-related variables, such as “First GeneXpert test result” and “HIV status.” Improvements in data completeness of TIER.Net compared to the TB Treatment Record are the most urgent area for improvement, especially recording of TB treatment outcomes.