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OBJECTIVE: To evaluate in a rural Tanzanian birth cohort the association between birth timing in relation to the preharvest lean season and early-life growth and cognitive development. STUDY DESIGN: Children were enrolled within 14 days of birth and followed up for 18 months. Child anthropometry was measured every 3 months. The Malawi Developmental Assessment Test was administered at the end of follow-up. We estimated the association between timing of birth in the context of other early childhood risk factors and both growth and Malawi Developmental Assessment Test scores. RESULTS: Children born in the preharvest months September and October had the lowest cognitive scores at 18 months, compared with birth in July and August (-1.05 change in overall Malawi Developmental Assessment Test development-for-age Z score, 95% CI: -1.23, -0.86). This association was observed for the language (-1.67 change in development-for-age Z score; 95% CI: -1.93, -1.40) and fine motor subcomponent scores (-1.67; 95% CI: -1.96, -1.38) but not for gross motor (-0.07; 95% CI: -0.23, 0.10) or social subcomponents (-0.07; 95% CI: -0.23, 0.10). Children born in September and October were the longest at birth but had the largest declines in growth Z scores during the first 6 months. CONCLUSIONS: There was a strong association between birth at the beginning of the preharvest season and poor growth and cognitive development. If these associations were mediated by the preharvest postnatal environment, targeted maternal and child interventions for children born during high-risk periods may improve these outcomes. TRIAL REGISTRATION: NCT03268902 (https://clinicaltrials.gov/study/NCT03268902).
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This paper examines changes in the completeness of documentation in clinical practice before and during the implementation of the Safer Births Bundle of Care (SBBC) project. This observational study enrolled parturient women with a gestation age of at least 28 weeks at the onset of labour. Data collectors extracted information from facility registers and then a central data manager summarised and reported weekly statistics. Variables of clinical significance for CQI were selected, and the proportion of non-documentation was analysed over time. A Pearson chi-square test was used to test for significant differences in non-documentation between the periods. Between 1 March 2021 and 31 July 2022, a total of 138,442 deliveries were recorded. Overall, 75% of all patient cases had at least one missing variable among the selected variables across both periods. A lack of variable documentation occurred more frequently at the district hospital level (81% of patient cases) and health centres (74%) than at regional referral hospitals (56%) (p < 0.001). Non-documentation decreased significantly from 79% to 70% after the introduction of the SBBC (p < 0.001). A tendency towards negative correlations was noted for most variables. We noted an increased attention to data quality and use which may have a positive impact on the completeness of documentation. However, halfway through the project's implementation, the completeness of documentation was still low. Our findings support the recommendation to establish short-spaced feedback loops of locally collected data using one data platform.