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Background: Despite progress in reducing maternal and child mortality worldwide, adverse birth outcomes such as preterm birth, low birth weight (LBW), small for gestational age (SGA), and stillbirth continue to be a major global health challenge. Developing a prediction model for adverse birth outcomes allows for early risk detection and prevention strategies. In this systematic review, we aimed to assess the performance of existing prediction models for adverse birth outcomes and provide a comprehensive summary of their findings., Methods: We used the Population, Index prediction model, Comparator, Outcome, Timing, and Setting (PICOTS) approach to retrieve published studies from PubMed/MEDLINE, Scopus, CINAHL, Web of Science, African Journals Online, EMBASE, and Cochrane Library. We used WorldCat, Google, and Google Scholar to find the grey literature. We retrieved data before 1 March 2022. Data were extracted using CHecklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies. We assessed the risk of bias with the Prediction Model Risk of Bias Assessment tool. We descriptively reported the results in tables and graphs., Results: We included 115 prediction models with the following outcomes: composite adverse birth outcomes (n = 6), LBW (n = 17), SGA (n = 23), preterm birth (n = 71), and stillbirth (n = 9). The sample sizes ranged from composite adverse birth outcomes (n = 32-549), LBW (n = 97-27 233), SGA (n = 41-116 070), preterm birth (n = 31-15 883 784), and stillbirth (n = 180-76 629). Only nine studies were conducted on low- and middle-income countries. 10 studies were externally validated. Risk of bias varied across studies, in which high risk of bias was reported on prediction models for SGA (26.1%), stillbirth (77.8%), preterm birth (31%), LBW (23.5%), and composite adverse birth outcome (33.3%). The area under the receiver operating characteristics curve (AUROC) was the most used metric to describe model performance. The AUROC ranged from 0.51 to 0.83 in studies that reported predictive performance for preterm birth. The AUROC for predicting SGA, LBW, and stillbirth varied from 0.54 to 0.81, 0.60 to 0.84, and 0.65 to 0.72, respectively. Maternal clinical features were the most utilised prognostic markers for preterm and LBW prediction, while uterine artery pulsatility index was used for stillbirth and SGA prediction., Conclusions: A varied prognostic factors and heterogeneity between studies were found to predict adverse birth outcomes. Prediction models using consistent prognostic factors, external validation, and adaptation of future risk prediction models for adverse birth outcomes was recommended at different settings., Registration: PROSPERO CRD42021281725., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)

Background: Maternal continuum of care (MCC) is the utilisation of maternal health care services, including 4+ antenatal care (ANC) visits, skilled birth attendants (SBAs), and postnatal care (PNC). This systematic review and meta-analysis assessed the pooled proportion of MCC utilisation among women in sub-Saharan Africa (SSA) and its association with selected sociodemographic factors., Methods: We identified keywords and MeSH terms related to the condition (MCC), the context (SSA), and population (women with history of childbirth) to search for published or unpublished observational studies. We used the Joanna Briggs Institute tool to extract data and the Newcastle Ottawa Scale for quality assessment. Meta-analysis was used to compute pooled estimates (MCC utilisation and odds ratio (OR) associates) with 95% confidence intervals (CI) using Stata 17., Results: Of 45 402 studies identified, we included 23 involving 320 353 women. The pooled estimate of MCC utilisation across SSA was 18.72% (95% CI = 14.51, 22.93), showing a significant increase (P < 0.05) from 2015 to 2022. Southern Africa had the highest MCC utilisation (38%; 95% CI = 36.59, 39.41), while East Africa had the lowest (17.5%; 95% CI = 12.22, 22.75). Maternal continuum of care utilisation was associated with maternal age 25-34 years (pooled odds ratio (POR) = 1.27), urban residence (POR = 2.69), richer/richest wealth status (POR = 1.68), as well as higher level of education and employment (POR = 1.32)., Conclusions: MCC utilisation in SSA remains low, with significant variation across the sub-regions and sociodemographic strata. Context-specific interventions targeting identified factors are essential to enhance MCC utilisation in SSA., Registration: PROSPERO: CRD42021272708., Competing Interests: Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests., (Copyright © 2024 by the Journal of Global Health. All rights reserved.)