Estimating gestational age using the anthropometric measurements of newborns in North Shewa Zone public hospitals, Oromia, Ethiopia.

Background: The accurate estimation of gestational age is crucial in identifying prematurity and other health problems in newborns and in providing appropriate perinatal care. Although there are numerous methods for measuring gestational age, they are not always applicable. During these situations, it becomes challenging to ascertain whether a baby has been born prematurely or not. Therefore, this study aims to estimate gestational age by utilizing newborn anthropometric parameters. Purpose: The objective of this study is to estimate the gestational age of newborns in public hospitals located in the North Shewa Zone of the Oromia Region in Ethiopia, by using anthropometric parameters. Methods: A cross-sectional study was conducted at a facility from February 2022 to April 2022, using an interview-based questionnaire and anthropometric measurements. The anthropometric parameters that were measured include foot length (FL), mid-upper arm circumference (MUAC), and chest and head circumference (CHC). The study's sample size had a total of 420 participants. The data were cleaned, edited, manually checked for completeness, and entered into Epi-data version 3.1. Subsequently, the data were transferred into SPSS for analysis. The data were analyzed using descriptive analysis, simple linear regression, and multiple linear regressions. Finally, the data were presented using statements and tables. Results: There is a significant and positive correlation between anthropometric parameters, including head circumference (r: 0.483), MUAC (r: 0.481), foot length (r: 0.457), and chest circumference (r: 0.482) with gestational age. All anthropometric parameters demonstrated positive and significant estimates of gestational age. The combination of the four measurements yielded the strongest estimate of gestational age. Gestational age can be calculated by the formula: Gestational age (Weeks) = 9.78 + 0.209*CHC + 0.607*MUAC + 0.727*FL + 0.322*HC. Conclusion: Gestational age can be measured using head circumference, mid-upper arm circumference, foot length, and chest circumference. Utilizing the four anthropometric parameters in combination exhibits greater efficacy in estimating gestational age than using them individually. Therefore, it is recommended to use these alternative approaches when standard methods are not applicable.

Maternal satisfaction with intrapartum care and associated factors among mothers who gave birth in public hospitals of the South West Shewa Zone, Ethiopia, 2022.

Background: Maternal satisfaction with intrapartum care is a multidimensional assumption of satisfaction with self and with the physical environment of the delivery ward and quality of care. Maternal satisfaction with intrapartum care affects the selection of birthplace and helps to identify gaps between actual and intended healthcare outcomes. This study aims to assess factors that affect maternal satisfaction with intrapartum care. Objectives: To assess maternal satisfaction with intrapartum care and associated factors among mothers who gave birth in public hospitals in the South-west Shewa Zone, Ethiopia, 2022. Methods: A cross-sectional study approach among 420 mothers was conducted between April 14 and June 14, 2022. Systematic random sampling was used to select mothers for face-to-face interviews every two intervals. Bivariate and multivariable logistic regression analyses were carried out. P-values of <0.25 in association with study variables were transferred to multivariable logistic regression models. An adjusted odds ratio with a 95% confidence interval was computed, and p-values of <0.05 were considered statistically significant in the multivariable model. The results of this study are presented using text, tables, and charts. Results: Data were collected from 420 participants, and 413 mothers completed the interview, giving a response rate of 98.33%. The overall maternal satisfaction with intrapartum care was 245 (59.32%) [95% CI: 55-64]. Mothers who were considered normal during labor and delivery (AOR = 2.57 (95% CI: 1.30-5.07), had a labor duration of 12 h or less (AOR = 1.59 (95% CI: 1.03-2.44), and experienced a waiting time of <15 min (AOR = 2.06 (95% CI: 1.21-3.52) were significantly associated with maternal satisfaction with intrapartum care. Conclusion and Recommendations: More than half of mothers were satisfied with the overall intrapartum care they received. Health facility managers and healthcare providers work together to improve maternal satisfaction with intrapartum care.

Covid-19 related factors to food security and dietary diversity among urban households in western Oromia, Ethiopia.

Background: This study aims to assess factors associated with food security and dietary diversity among poor urban households of western Oromia, Ethiopia, after the outbreak of the Covid-19 pandemic. Method: A cross-sectional, community-based study was conducted in May to June 2021 with 361 poor urban households in the Horo Guduru Wollega zone, western Oromia, Ethiopia. A pre-tested structured questionnaire was used to collect primary data. Twenty-four hour reminder points were used to assess household dietary diversity, and household food security was assessed using the Household Food Insecurity Access Scale tool. Data were evaluated using the statistical software SPSS version 25.0. Results: This study showed a prevalence of food insecurity in households of 59.6%. The mean and standard deviation of household dietary diversity values were 4.19 ± 1.844. Family size (AOR = 8.5; 95% CI:3.295-21.92), monthly income (AOR = 3.52; 95% CI; 1.771-6.986), dietary diversity (AOR = 8.5; 95% CI; 3.92-18.59), knowledge (AOR = 3.0, 95% CI = 1.08-)8.347), attitude (AOR = 8.35, 95% CI:3.112-22.39) and practices against Covid-19 (AOR = 2.12; 95% CI:1.299-11.4) were factors significantly associated with food insecurity. Variables like educational status (AOR = 3.46; 95% CI:1.44-8.312), increased family size after the Covid-19 pandemic (AOR = 2.26; 95% CI:1.02-5.04), food security (AOR = 6.7; 95% CI:4.01-19.01), knowledge (AOR = 3.96; 95% CI:1.57-10.0), attitude (AOR = 3.9; 95% CI:1.75-8.82) and practices toward coronavirus (AOR = 2.23; 95% CI:2.18-23.95) were predictors significantly associated with dietary diversity. Conclusion: This study concluded that family size, monthly income, and dietary diversity were factors contributed to household food security. On the other hand, variables such as educational status, family size, and food security were highly relevant factors for dietary diversity after the outbreak of the Covid-19 pandemic. Knowledge, attitudes, and practices were also variables related to both household food security and dietary diversity. Therefore, immediate interventions such as nutrition-specific interventions can be suggested to address food insecurity and problems of inadequate food intake in poor urban households. In addition, governmental and non-governmental organizations should raise awareness and policies to support those at higher risk by developing affordable, sustainable and targeted social protection systems that ensure food security and adequate dietary intake at the household level.