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ObjectiveTo develop and validate a risk prediction model for the prediction of preterm birth using maternal characteristics.DesignThis was a retrospective follow-up study. Data were coded and entered into EpiData, V.3.02, and were analysed using R statistical programming language V.4.0.4 for further processing and analysis. Bivariable logistic regression was used to identify the relationship between each predictor and preterm birth. Variables with p≤0.25 from the bivariable analysis were entered into a backward stepwise multivariable logistic regression model, and significant variables (p<0.05) were retained in the multivariable model. Model accuracy and goodness of fit were assessed by computing the area under the receiver operating characteristic curve (discrimination) and calibration plot (calibration), respectively.Setting and participantsThis retrospective study was conducted among 1260 pregnant women who did prenatal care and finally delivered at Felege Hiwot Comprehensive Specialised Hospital, Bahir Dar city, north-west Ethiopia, from 30 January 2019 to 30 January 2021.ResultsResidence, gravidity, haemoglobin <11 mg/dL, early rupture of membranes, antepartum haemorrhage and pregnancy-induced hypertension remained in the final multivariable prediction model. The area under the curve of the model was 0.816 (95% CI 0.779 to 0.856).ConclusionThis study showed the possibility of predicting preterm birth using maternal characteristics during pregnancy. Thus, use of this model could help identify pregnant women at a higher risk of having a preterm birth to be linked to a centre.

The purpose of the research was to pool the intention to receive the COVID-19 vaccine and its health belief model (HBM)-based predictors, which is helpful for decision-makers and program managers around the globe. The relevant database was searched and Joanna Briggs Institute (JBI) appraisal checklist was used to evaluate the studies. I2 test and funnel plot was utilized to check heterogeneity and publication bias, respectively. DerSimonian and Laird random-effects model was used. The overall pooled intention to receive COVID-19 vaccine globally was 67.69%. Higher levels of perceived susceptibility (AOR = 1.85), perceived severity (AOR = 1.45), perceived benefits (AOR = 3.10), and cues to action (AOR = 3.40) positively predicted the intention; whereas high level of perceived barrier negatively predicted it (AOR = 0.53). Health beliefs influenced COVID-19 vaccine intention globally. This implies that individuals need sound health education and publicity about vaccines before vaccination.

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Background Although long-acting contraceptive methods are highly effective, safe, and provide uninterrupted protection from unintended pregnancy compared to short-acting methods, evidences suggest that majority of women were relayed on short-acting contraceptive methods. Thus, this study aimed to determine the level of long-acting contraceptive methods utilization and associated factors among married women in Farta Woreda, Northwest Ethiopia, 2021. Methods A community-based cross-sectional study supplemented with qualitative data was performed among 556 married women from March 1 to 31, 2021. A semi-structured interviewer-administered questionnaire and interview guides were used to collect the data. The data were entered into Epi data version 4.6 and analyzed by SPSS version 23 software. The association between variables was analyzed using bivariate and multivariable binary logistic regression. The level of statistically significant association was determined at a P-value < 0.05. After translation and transcription, manual thematic analysis was applied to the qualitative data. Results The magnitude of long-acting contraceptive methods among married women in Farta Woreda was found to be 14.3% [95% CI 11.5–17.6]. Previous use of long-acting contraceptive methods (AOR = 5.83, 95% CI 3.03, 11.21), positive attitude towards long-acting contraceptives (AOR = 2.74, 95% CI 1.48, 5.07), having formal education for husbands’ (AOR = 3.05, 95% CI 1.5, 6.21), and poor wealth index (AOR = 3.39, 95% CI 1.33, 8.67) were positively associated with utilization of long-acting contraceptive methods. Moreover, fear of side effects, misconceptions, and partner opposition were the most commonly identified barriers by the qualitative data. Conclusion Utilization of long-acting contraceptives among married women in Farta Woreda was low as compared to the 2020/21 national reproductive health strategy plan to increase the long-acting reversible and permanent contraceptive methods use to 50%. Previous use of long-acting contraceptives, positive attitude towards long-acting contraceptives, husband education, and household wealth index was found to be significantly associated with long-acting contraceptive utilization. Hence, it is better to work more on changing women's attitudes and increasing husband education.

Background. The average duration of recovery from COVID-19 and influencing factors, which would help inform optimal control strategies, remain unclear. Moreover, studies regarding this issue are limited in Ethiopia, and no region-wise studies were conducted. Hence, this study aimed to investigate the median recovery time from COVID-19, and its predictors among patients admitted to Amhara regional state COVID-19 treatment centers, Ethiopia. Methods. A facility-based retrospective follow-up study was conducted at Amhara regional state COVID-19 treatment centers from 13 March 2020 through 30 March 2021. Data were entered using EpiData version 3.1, and STATA version 14 was used for analysis. A Kaplan–Meier curve was used to estimate survival time, and the Cox regression model was fitted to identify independent predictors. P value with 95% CI for the hazard ratio was used for testing the significance at alpha 0.05. Results. Six hundred twenty-two cases followed, and 540 observations developed an event at the end of the follow-up. The median time to recovery was 11 days with an interquartile range of 9–14 days. Most of the patients were recovered from COVID-19 between days seven and fourteen. In the first six days of admission, only 4.2% of cases had recovered, but by day 14, 73.8% had recovered. Patients without comorbid illness/s were faster to recover than their counterparts (AHR = 1.44 : 95% CI: 1.10, 1.91) and those who have signs and symptoms on admission (AHR = 0.42 : 95% CI: 0.30, 0.60) and old-aged (AHR = 0.988; 95% CI: 0.982, 0.994) took longer to recover. Conclusion. In conclusion, a relatively short median recovery time was found in this study. Significant predictors for delayed recovery from COVID-19 were older age, presence of symptoms at admission, and having at least one comorbid condition. These factors should be placed under consideration while developing a strategy for quarantining and treating COVID-19 patients.

Background Esophageal atresia is an upper gastrointestinal tract developmental abnormality in which the upper and lower esophagus do not connect. Esophageal atresia has a higher incidence of death in sub-Saharan Africa, ranging from 30% to 80%. In Ethiopia, infants with esophageal atresia had a higher mortality rate. The assessment of time to death and predictors of esophageal atresia can help to reduce newborn mortality. Objective This study was aimed to investigate the time to death and predictors of neonates with esophageal atresia admitted to Tikur Anbessa Specialized Hospital, Ethiopia. Methods An institutional-based retrospective follow-up study was conducted among 225 neonates diagnosed with esophageal atresia. The median survival time, Kaplan–Meier failure estimation curve, and Log rank test were computed. Bivariable and multivariable Cox regression hazards models were fitted to identify the predictors of time to death. Hazard ratio with a 95% confidence interval was calculated and p-values <0.05 were considered statistically significant. Results In the study, the incidence density rate of neonates diagnosed with esophageal atresia was 5.5 (95% CI, 4.7–6.4) per 100-neonates day. The median time to death was 11 days (95% confidence interval (CI), 8.92–13.08). Birth weight <2500 g (adjusted hazard ratio (AHR)=1.49, 95% CI, 1.02 −2.21), having sepsis (AHR=1.67,95% CI, 1.15–2.44), being malnourished (AHR = 1.61, 95% CI, 1.03 −2.58), esophageal atretic neonates without surgery (AHR = 3.72, 95% CI, 1.34–10.38), diagnosis time at >48 hours of admission (AHR = 1.48, 95% CI, 1.01–2.15) and being dehydrated (AHR = 2.38, 95% CI, 1.63–3.46) were significant predictors of time to death among esophageal atretic neonates. Conclusion The findings in this study highlighted the necessity of early diagnosis, proper comorbidity treatment, and timely surgical intervention to reduce infant deaths due to esophageal atresia.