Geospatial patterns, and individual and community levels factors of cesarean section deliveries in Ethiopia: A spatial and multilevel analysis
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ABSTRACT:
SUBMITTER: Endawkie A
PROVIDER: S-EPMC11349178 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:BackgroundThe lives of babies and mothers are at risk due to the uneven distribution of healthcare facilities required for emergency cesarean sections (CS). However, CS without medical indications might cause complications for mothers and babies, which is a global health problem. Identifying spatiotemporal variations of CS rates in each geographical area could provide helpful information to understand the status of using CS services.MethodsThis cross-sectional study explored spatiotemporal patterns of CS in northeast Iran from 2016 to 2020. Space-time scan statistics and spatial interaction analysis were conducted using geographical information systems to visualize and explore patterns of CS services.ResultsThe temporal analysis identified 2017 and 2018 as the statistically significant high clustered times in terms of CS rate. Five purely spatial clusters were identified that were distributed heterogeneously in the study region and included 14 counties. The spatiotemporal analysis identified four clusters that included 13 counties as high-rate areas in different periods. According to spatial interaction analysis, there was a solid spatial concentration of hospital facilities in the political center of the study area. Moreover, a high degree of inequity was observed in spatial accessibility to CS hospitals in the study area.ConclusionsCS Spatiotemporal clusters in the study area reveal that CS use in different counties among women of childbearing age is significantly different in terms of location and time. This difference might be studied in future research to identify any overutilization of CS or lack of appropriate CS in clustered counties, as both put women at risk. Hospital capacity and distance from population centers to hospitals might play an essential role in CS rate variations and spatial interactions among people and CS facilities. As a result, some healthcare strategies, e.g., building new hospitals and empowering the existing local hospitals to perform CS in areas out of service, might be developed to decline spatial inequity.
| S-EPMC9302231 | biostudies-literature
Project description:ObjectiveTo evaluate the existence of statistically significant clusters of Cesarean section rates at the county level and assess the relationship of such clusters with previously implicated socioeconomic factors.ResultsCounty-level obstetrics data was extracted from March of Dimes, originally sourced from National Center for Health Statistics. County-level demographic data were extracted from the US Census Bureau. Access to obstetricians was extracted from National Provider Identifier records. Rural counties were identified using Rural Urban Commuting Area codes developed by the department of agriculture. The dataset was geospatially analyzed using Moran's I statistic, a metric of local spatial autocorrelation, to identify clusters of increased or decreased Cesarean section rates. The American South, especially the Deep South, is a major cluster of increased Cesarean section rates. As a general but not absolute pattern, the American West and Midwest had lower Cesarean section rates than the Northeast. Focal areas of increased Cesarean section rates included the Kansas-Nebraska border, Michigan's upper peninsula, and the New York City metropolitan area. The gross geospatial differences were not explained by rurality, obstetric access, or ethnic and racial factors alone.
| S-EPMC9284873 | biostudies-literature
Project description:BackgroundInstitutional delivery is an important indicator in monitoring the progress towards Sustainable Development Goal 3.1 to reduce the global maternal mortality ratio to less than 70 per 100,000 live births. Despite the international focus on reducing maternal mortality, progress has been low, particularly in Sub-Saharan Africa (SSA), with more than 295,000 mothers still dying during pregnancy and childbirth every year. Institutional delivery has been varied across and within the country. Therefore, this study aimed to investigate the individual and community level determinants, and spatial distribution of institutional delivery in Ethiopia.MethodsA secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 11,022 women was included in this study. For spatial analysis, ArcGIS version 10.6 statistical software was used to explore the spatial distribution of institutional delivery, and SaTScan version 9.6 software was used to identify significant hotspot areas of institutional delivery. For the determinants, a multilevel binary logistic regression analysis was fitted to take to account the hierarchical nature of EDHS data. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), Proportional Change in Variance (PCV), and deviance (-2LL) were used for model comparison and for checking model fitness. Variables with p-values<0.2 in the bi-variable analysis were fitted in the multivariable multilevel model. Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) were used to declare significant determinant of institutional delivery.ResultsThe spatial analysis showed that the spatial distribution of institutional delivery was significantly varied across the country [global Moran's I = 0.04 (p<0.05)]. The SaTScan analysis identified significant hotspot areas of poor institutional delivery in Harari, south Oromia and most parts of Somali regions. In the multivariable multilevel analysis; having 2-4 births (AOR = 0.48; 95% CI: 0.34-0.68) and >4 births (AOR = 0.48; 95% CI: 0.32-0.74), preceding birth interval ≥ 48 months (AOR = 1.51; 95% CI: 1.03-2.20), being poorer (AOR = 1.59; 95% CI: 1.10-2.30) and richest wealth status (AOR = 2.44; 95% CI: 1.54-3.87), having primary education (AOR = 1.47; 95% CI: 1.16-1.87), secondary and higher education (AOR = 3.44; 95% CI: 2.19-5.42), having 1-3 ANC visits (AOR = 3.88; 95% CI: 2.77-5.43) and >4 ANC visits (AOR = 6.53; 95% CI: 4.69-9.10) were significant individual-level determinants of institutional delivery while being living in Addis Ababa city (AOR = 3.13; 95% CI: 1.77-5.55), higher community media exposure (AOR = 2.01; 95% CI: 1.44-2.79) and being living in urban area (AOR = 4.70; 95% CI: 2.70-8.01) were significant community-level determinants of institutional delivery.ConclusionsInstitutional delivery was low in Ethiopia. The spatial distribution of institutional delivery was significantly varied across the country. Residence, region, maternal education, wealth status, ANC visit, preceding birth interval, and community media exposure were found to be significant determinants of institutional delivery. Therefore, public health interventions should be designed in the hotspot areas where institutional delivery was low to reduce maternal and newborn mortality by enhancing maternal education, ANC visit, and community media exposure.
| S-EPMC7660564 | biostudies-literature
Project description:Postpartum anemia is associated with maternal and perinatal morbidity. Population-level data may inform guideline development for postpartum anemia screening. Our objectives were to evaluate the associations between potential predictors (predelivery anemia and postpartum hemorrhage [PPH]) with severe postpartum anemia after Cesarean section.Data were collected from 70,939 hospitalizations for Cesarean section performed at Kaiser Permanente Northern California facilities between 2005 and 2013. Severe postpartum anemia was defined as a hemoglobin (Hb) level of less than 8 g/dL before hospital discharge. Using multivariable logistic regression, we assessed the associations between predelivery anemia and PPH with severe postpartum anemia. Distributions of these characteristics among women with severe postpartum anemia were evaluated.The overall rate of severe postpartum anemia was 7.3% (95% confidence interval [CI], 7.1%-7.4%). Severe postpartum anemia was strongly associated with a predelivery Hb level between 10 and 10.9 g/dL (adjusted odds ratio [aOR], 5.4; 95% CI, 4.89-5.91), predelivery Hb level of less than 10 g/dL (aOR, 30.6; 95% CI, 27.21-34.6), and PPH (aOR, 8.45; 95% CI, 7.8-9.16). The proportions of women with severe postpartum anemia were highest for those experiencing PPH but no predelivery anemia (12.2%; 95% CI, 11.0%-13.6%) and those who did not incur PPH nor predelivery anemia (10.7%; 95% CI, 9.6%-12.0%).Our findings suggest that PPH and predelivery anemia are strong independent risk factors for severe postpartum anemia. Optimization of patients' Hb before delivery may reduce the incidence of severe anemia after Cesarean section.
| S-EPMC5243180 | biostudies-literature
Project description:BackgroundSimulation-based education enhances fundamental and clinical knowledge, procedural abilities, teamwork, and communication skills, as well as quality of care and patient safety. Due to excessive clinical loads and a lack of physicians, even classic teaching methods like bedside instruction are constrained in low-income settings. Thus, this study aimed to ascertain if simulation-based cesarean section education successfully raises non-physician clinician midwives' competency in Ethiopia.MethodsA quasi-experimental study design triangulated with a qualitative design was implemented. Sixty Masters Clinical Midwifery students (29 intervention and 31 control) were taken in 5 universities. Three questionnaires (knowledge, confidence levels, and skills) were used. Qualitative data was also collected from 14 participants. The data were analyzed using SPSS version 25. Descriptive and inferential analyses were conducted. P < 0.05 was used for statistical significance. A difference-in-difference with a 95% confidence level was employed to control the potential confounders for knowledge and self-confidence. Multiple linear regression was fitted to identify the independent effect of simulation-based education interventions while controlling for other variables. Thematic analysis was performed using MAXQDA 2020.ResultThe age of the respondents varies from 24 to 34 years, with the control group's mean age being 28.8 (± 2.3) years and the intervention group's mean age being 27.2 (± 2.01) years. The intervention and control groups' pre-intervention and post-intervention knowledge scores showed a statistically significant difference. There was a substantial increase in self-confidence mean scores in both the intervention and control groups and between the pre-intervention and post-intervention periods in both the intervention and control groups. Furthermore, there was a substantial improvement in cesarean section skills in the intervention group as compared to the control group (59.6 (3.3) vs. 51.5 (4.8). The qualitative findings supported these.ConclusionsThe study showed that simulation-based education improved students' procedural knowledge, self-confidence, and skills. As a result, professional care teams can create simulation-based teaching packages to help students prepare for their residency.
| S-EPMC10722683 | biostudies-literature
Project description:Background:Caesarean section rates have increased worldwide in recent decades. Caesarean section is an essential maternal healthcare service. However, it has both maternal and neonatal adverse outcomes. Therefore this systematic review and meta-analysis aimed to estimate the prevalence, indication, and outcomes of caesarean section in Ethiopia. Methods:Twenty three cross-sectional studies with a total population of 36,705 were included. Online databases (PubMed/Medline, Hinari, Web of Science, and Google Scholar) and online university repository was used. All the included papers were extracted and appraised using the standard extraction sheet format and Joanna Briggs Institute respectively. The pooled prevalence of the caesarean section, indications, and outcomes was calculated using the random-effect model. Result:The overall pooled prevalence of Caesarean section was 29.55% (95% CI: 25.46-33.65). Caesarean section is associated with both maternal and neonatal complications. Cephalopelvic disproportion [18.13%(95%CI: 12.72-23.53] was the most common indication of Caesarean section followed by non-reassuring fetal heart rate pattern [19.57% (95%CI: 16.06-23.08]. The common neonatal complications following Caesarean section included low APGAR score, perinatal asphyxia, neonatal sepsis, meconium aspiration syndrome, early neonatal death, stillbirth, and prematurity whereas febrile morbidity, surgical site infection, maternal mortality, severe anemia, and postpartum hemorrhage were the most common maternal complications following Caesarean section. Conclusion:In this systematic review and meta-analysis, the rate of Cesarean section was high. Cephalopelvic disproportion, low Apgar score, and febrile morbidity were the most common indication of Caesarean section, neonatal outcome and maternal morbidity following Caesarean section respectively. Increasing unjustified Caesarean section deliveries as a way to increase different neonatal and maternal complications, then several interventions needed to target both the education of professionals and the public.
| S-EPMC7140488 | biostudies-literature
Project description:Cesarean section is the commonest obstetric operative procedure worldwide. When used appropriately cesarean sections can improve infant and/or maternal outcomes. However, when used inappropriately the potential harm may exceed the potential benefit of cesarean section. Appreciating the limited information in this area the current study assessed the rate and factors associated with cesarean section in Felegehiwot referral hospital, Bahir Dar, northwest Ethiopia.The study was a retrospective analysis of eligible patient records that included 2967 pregnant women who had underwent either cesarean or vaginal delivery from July 1, 2012 to June 31, 2013. The data were double entered to EPI-INFO 3.5.2 and analyzed with SPSS. Binary logistic regression model was fitted to identify independent factors associated with cesarean section.The proportion of women who underwent cesarean section in this study was 25.4%. Obstructed labor (30.7%), fetal distress (15.9%) and abnormal presentation (13.4%) were the major obstetric indications for cesarean section. The odd of undergoing cesarean section was higher among mothers in rural residence (AOR = 1.63, 95% CI: 1.21, 2.20), mothers reported to have pregnancy risk factors (AOR = 2.31, 95% CI: 1.74, 3.07) and lower among mothers in age category of 15-19 (AOR = 0.63, 95% CI: 0.43, 0.93).Obstetric factors occurring around birth, including obstructed labor and fetal distress were the main reasons leading to Cesarean Section rather than background characteristics assumed to be a risk. The results imply that there is a need for timely and accurate screening of women during obstetric care and, decision to perform cesarean section should be based on clear, compelling and well-supported justifications.
| S-EPMC4721205 | biostudies-other
Project description:BackgroundThe National guidelines of most developed countries suggest a target of 30 minutes of the decision to delivery interval for emergency cesarean section. Such guidelines may not be feasible in poorly resourced countries and busy obstetric settings. It is generally accepted that the decision to delivery interval should be kept to the minimum time achievable to prevent adverse outcomes. Therefore, this study aimed to determine the average decision to delivery interval and its effect on perinatal outcomes in emergency cesarean section.MethodsA prospective cohort study was conducted from May to July 2020 at Bahir Dar City Public Hospitals. A total of 182 participants were enrolled, and data were collected using a structured and pre-tested questionnaire. A systematic sampling technique was applied to select the study subjects. Data were cleaned and entered into Epi-Data version 4.6 and exported to SPSS version 25 software for analysis. Logistic regression analysis was performed to identify predictors of outcome variables, and variables with a p-value of <0.05 were considered statistically significant.ResultsThe average decision to delivery interval was 43.73 ±10.55 minutes. Anesthesia time [AOR = 2.1, 95%CI = (1.3-8.4)], and category of emergency cesarean section [AOR = 3, 95% CI = (2.1-11.5)] were predictors of decision to delivery interval. The prolonged decision to delivery interval had a statistically significant association with composite adverse perinatal outcomes (odds ratio [OR] = 1.8, 95% confidence interval [CI] = (1.2-6.5).ConclusionThe average decision to delivery interval was longer than the recommended time. It should always be considered an important factor contributing to perinatal outcomes. Therefore, to prevent neonatal morbidity and mortality, a time-dependent action is needed.
| S-EPMC8575252 | biostudies-literature
Project description:ObjectiveAlthough the rate of stillbirth has decreased globally, it remains unacceptably high in developing countries. Today, only 10 countries share the burden of more than 65% of the global rate of stillbirth and these include Ethiopia. Ethiopia ranks seventh in terms of high rate of stillbirths. Exploring the spatial distribution of stillbirth is critical to developing successful interventions and monitoring public health programmes. However, there is no study on the spatial distribution and the associated factors of stillbirth in Ethiopia. Therefore, this study aimed to explore the spatial distribution and the associated factors of stillbirth.MethodsSecondary data analysis was conducted based on the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 11 375 women were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify hotspot areas and ArcGIS V.10.6 to explore the spatial distribution of stillbirth. For associated factors, a multilevel binary logistic regression model was fitted using STATA V.14 software. Variables with a p value of less than 0.2 were considered for the multivariable multilevel analysis. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of stillbirth.ResultsThe spatial analysis showed that stillbirth has significant spatial variation across the country. The SaTScan analysis identified significant primary clusters of stillbirth in the Northeast Somali region (log likelihood ratio (LLR)=13.4, p<0.001) and secondary clusters in the border area of Oromia and Amhara regions (LLR=8.8, p<0.05). In the multilevel analysis, rural residence (AOR=4.83, 95% CI 1.44 to 16.19), primary education (AOR=0.39, 95% CI 0.20 to 0.74), no antenatal care (ANC) visit (AOR=2.77, 95% CI 1.70 to 4.51), caesarean delivery (AOR=5.07, 95% CI 1.65 to 15.58), birth interval <24 months (AOR=1.95, 95% CI 1.20 to 3.10) and height <150 cm (AOR=2.73, 95% CI 1.45 to 4.97) were significantly associated with stillbirth.Conclusion and recommendationIn Ethiopia, stillbirth had significant spatial variations across the country. Residence, maternal stature, preceding birth interval, caesarean delivery, education and ANC visit were significantly associated with stillbirth. Therefore, public health interventions that enhance maternal healthcare service utilisation and maternal education in hotspot areas of stillbirth are crucial to reducing stillbirth in Ethiopia.
| S-EPMC7594361 | biostudies-literature
Project description:BackgroundThe world health organization considers cesarean section (CS) prevalence of less than 5% suggests an unmet need. On the other hand, a prevalence of more than 15% may pose to risk to mother and child, however, access to CS in a resource-limited country like Ethiopia was much lower than the aforementioned level, Therefore, this was the first study to determine the trend of CS, and factors that influence it.MethodsThis was done based on the five Ethiopia Demographic and Health Surveys. Trend analysis was done separately for rural and urban. The significance of the trend was assessed using the Extended Mantel-Haenszel chi-square test. The factors on CS delivery were identified based on DHS 2016 data. A multi-level logistic regression analysis technique was used to identify the factors associated with cesarean section delivery. The analysis was adjusted for the different individual- and community-level factors affecting cesarean section delivery. Data analysis was conducted using STATA 14.1 software.ResultThe rate of cesarean section increased from 5.1% in 1995 to 16% in 2019 in an urban area and 0.001 in 1995 to 3% in a rural area, the overall increment of CS rate was 0.7% in 1995 to 2019 at 6%. The odds of cesarean section were higher among 25-34 years (AOR = 2.79; 95% CI: 1.92, 4.07) and 34-49 years (AOR = 5.23;95% CI: 2.85,9.59), among those educated at primary school level (AOR = 1.94; 95% CI: 1.23,3.11), secondary education (AOR = 2.01; 95% CI: 1.17, 3.56) and higher education (AOR = 4.12; 95% CI: 2.33-7.29)with multiple pregnancies (AOR = 11.12; 95% CI: 5.37, 23.), with obesity (AOR = 1.73; 95% CI: 1.22, 2.45), living in an urban area (AOR = 2.28; /95% CI: 1.35-3.88), and increased with the number of ANC visit of 1-3 and 4th(AOR = 2.26; 95% CI: 1.12, 4.58), (AOR = 3.34; 95% CI: 1.12, 4.58), respectively. The odds of cesarean section are lower among parity of 2-4 children (AOR = 0.54; 95% CI: 0 .37, 0.80) and greater than four birth order (AOR = 0.42;95% CI: 0.21,0.84).ConclusionIn Ethiopia, the CS rate is below the WHO recommended level in both urban and rural areas, thus, intervention efforts need to be prioritized for women living in a rural area, empowering women's education, encouraging co-services such as ANC usage could all help to address the current problem.
| S-EPMC10019649 | biostudies-literature