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Objective: To assess the quality of childbirth care and its determinants along the continuum of care in Gondar town public health facility in Ethiopia., Design: An institution-based, cross-sectional study was employed. Completed data were imported to Stata V.16 for cleaning and analysis. A generalised structural equation model was employed to examine the relationships along the continuum of childbirth care and to determine the factors affecting the quality of childbirth care., Setting and Participants: This study was conducted among a total of 865 women who delivered in the public health facility of Gondar, Ethiopia, from 19 May to 30 June 2022., Results: The study revealed the proportion of good-quality childbirth care during admission, intrapartum and immediate postpartum period was 59% (95% CI 55.7, 62.4), 76.8% (95% CI 73.8, 79.5) and 45% (95% CI 41.7, 48.5), respectively. Postsecondary educational status of mothers (β=0.60, 95% CI 0.16, 1.04) and maternal age of 25-35 (β=0.68, 95% CI 0.33, 1.02) were predictors of quality of care at admission. Referral hospital (β=0.43, 95% CI 0.10, 0.76), presence of guidelines (β=1.36, 95% CI 0.72, 1.99) and provider age of 25-35 (β=0.61, 95% CI 0.12, 1.10) affected the quality of care during the intrapartum period. Urban residence (β=0.52, 95% CI 0.12, 0.93), skilled birth attendant experience (β=0.19, 95% CI 0.11, 0.28) and number of delivery couches (β=-0.29, 95% CI -0.44, -0.13) had significant associations with the quality of childbirth care during the immediate postpartum period., Conclusions: Although our study found improvements in the quality of childbirth care along the continuum compared with previous studies, more workers are needed to alleviate the problem of poor-quality service. Different maternal, provider and facility factors were found to be predictors of the quality of childbirth care., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Antenatal depression is a serious problem worldwide that has devastating consequences not only for the mother but also for the child and family. The pooled evidence regarding the prevalence and associated factors of antenatal depression is rare in Africa. Hence this review aimed to investigate the prevalence and associated factors of antenatal depression in Africa.Methods: We searched CINHAL, MEDLINE, PsycINFO, Psychiatry online, PubMed, SCOPES, and Emcare databases for English written observational studies conducted in Africa from 2007 to 2018.Quality of studies was assessed using the Newcastle Ottawa Scale (NOS), and studies with good quality were included in the final review. Heterogeneity across studies was assessed using the I2 and Higgins test. Publication bias was checked using Funnel plot symmetry, and Egger's regression test and adjustment was made by using Duval and Tweedie's Trim and Fill analysis. A random effect Meta-analysis was employed to determine the pooled estimates with 95% confidence interval (CI). Stata 14 was used for analysis. The review protocol has been registered in PROSPERO number CRD42018106717.Result: Of the 175 studies identified, 28 studies with an overall sample size of 17,938 were included. According to the random effect model following trim and fill analysis, the pooled prevalence of antenatal depression in Africa was 26.3% (95%CI: 22.2, 30.4%). Economic difficulties [POR = 1.87;95%CI:1.25,2.78,I2 = 88.1%], unfavorable marital condition [POR = 4.17;95% CI:1.75, 9.94, I2 = 81.2%], poor support from relatives [POR = 1.36;95% CI:1.18, 1.56, I2 = 78.0%], bad obstetric history [POR = 2.30;95% CI:1.81, 2.92), I2 = 81.7%], and history of mental health problem [POR = 2.97; 95% CI:1.74, 5.06, I2 = 92.0%]were the factors associated with antenatal depression.Conclusion: The prevalence of antenatal depression is high in Africa, which showed that one in four pregnant women had depression. Pregnant mothers who had economic difficulties, bad obstetric history, poor support from relatives, previous mental health problems, and unfavorable marital conditions were at higher risk of antenatal depression. Therefore these factors should be considered while designing mental health care services for pregnant mothers. [ABSTRACT FROM AUTHOR]