Prevalence and factors associated with early postnatal care utilization among women of reproductive age in Tanzania: analysis of Tanzania demographic health survey 2015/16.

Introduction: postnatal care (PNC) is critical for the health and survival of the mother and the newborn. The timing of the first postnatal checkup is crucial for the early identification and treatment of complications. Late or zero attendance of postnatal checkups negatively influences the health of the mother and the newborn. The study's purpose is to determine the prevalence and factors associated with early postnatal care utilization among women of reproductive age (WRA) in Tanzania. Methods: this is an analytical cross-sectional study, using Tanzania demographic health survey data for 2015/16. Women of reproductive age (15-49 years) who gave birth 5 years prior the survey were analyzed. Data analysis was performed using Stata software Version 15. The Poisson regression analysis was used to assess factors associated with early PNC. Results: the prevalence of early PNC utilization in Tanzania was 36%. The identified determinants for early PNC were geographical zone, place of residence, access to media, place of delivery and mode of delivery. The prevalence of early PNC was higher among mothers with access to media, with caesarian delivery and to those with facility delivery. The prevalence was low among mothers who lived in rural areas, from southwest and lake zones. Conclusion: the coverage of early PNC was found to be low in Tanzania. Interventions informed by the identified factors need to be designed and implemented to improve the coverage of early PNC.

Validation of the Pediatric Resuscitation and Trauma Outcome (PRESTO) model in injury patients in Tanzania.

INTRODUCTION: Sub-Saharan Africa has the highest rate of unintentional paediatric injury deaths. The Pediatric Resuscitation and Trauma Outcome (PRESTO) model predicts mortality using patient variables available in low-resource settings: age, systolic blood pressure (SBP), heart rate (HR), oxygen saturation, need for supplemental oxygen (SO) and neurologic status (Alert Verbal Painful Unresponsive (AVPU)). We sought to validate and assess the prognostic performance of PRESTO for paediatric injury patients at a tertiary referral hospital in Northern Tanzania. METHODS: This is a cross-sectional study from a prospective trauma registry from November 2020 to April 2022. We performed exploratory analysis of sociodemographic variables and developed a logistic regression model to predict mortality using R (V.4.1). The logistic regression model was evaluated using area under the receiver operating curve (AUC). RESULTS: 499 patients were enrolled with a median age of 7 years (IQR 3.41-11.18). 65% were boys, and in-hospital mortality was 7.1%. Most were classified as alert on AVPU Scale (n=326, 86%) and had normal SBP (n=351, 98%). Median HR was 107 (IQR 88.5-124). The logistic regression model based on the original PRESTO model revealed that AVPU, HR and SO were statistically significant to predict in-hospital mortality. The model fit to our population revealed AUC=0.81, sensitivity=0.71 and specificity=0.79. CONCLUSION: This is the first validation of a model to predict mortality for paediatric injury patients in Tanzania. Despite the low number of participants, our results show good predictive potential. Further research with a larger injury population should be done to improve the model for our population, such as through calibration.