Prevalence of Caesarean sections in Enugu, southeast Nigeria: Analysis of data from the Healthy Beginning Initiative

listen audio

Study Justification:
The study aimed to investigate the prevalence of Caesarean sections (CS) in Enugu, southeast Nigeria, and identify socioeconomic and medical risk factors associated with CS. This research is important because increasing access to obstetric interventions like CS is crucial for reducing maternal mortality, which is a Sustainable Development Goal. Nigeria has limited access to routine and emergency obstetric services, contributing to a high burden of maternal mortality. Understanding the rates and determinants of CS in this region can help inform interventions to improve access to this life-saving procedure.
Study Highlights:
– The study found that only 7.22% of women in Enugu, southeast Nigeria had a CS, indicating limited access to this intervention in the region.
– Women living in rural areas had significantly lower odds of having a CS compared to those in urban areas.
– Higher odds of having a CS were observed among women with high peripheral malaria parasitemia.
– Increasing age and socioeconomic factors such as having a tertiary-level education, full-time employment, and urban residence were identified as key determinants of access to CS.
Study Recommendations:
– Further research is needed to understand the specific obstetric conditions under which women in this region receive CS.
– More investigation is required to elucidate the role of socioeconomic factors in accessing CS.
Key Role Players:
– Researchers and research staff involved in data collection and analysis
– Health policymakers and government officials responsible for maternal health programs
– Healthcare providers and facilities involved in obstetric care
– Community leaders and organizations advocating for improved maternal health
Cost Items for Planning Recommendations:
– Research funding for additional studies to investigate obstetric conditions and socioeconomic factors related to CS access
– Budget allocation for implementing interventions to improve access to CS, such as increasing healthcare facilities and training healthcare providers
– Funding for community outreach and education programs to raise awareness about the importance of CS and reduce stigma or misconceptions surrounding the procedure

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study provides data from the Healthy Beginning Initiative study, which included a large sample size of 2300 women. The study used logistic regression analysis to determine the factors associated with having a Caesarean section (CS) in Enugu, southeast Nigeria. However, the study did not include information on the specific obstetric conditions under which women in the region receive CS, which could have provided more insight into the findings. To improve the strength of the evidence, future research could include a more detailed analysis of the obstetric conditions and factors influencing access to CS in the region.

Background In order to meet the Sustainable Development Goal to decrease maternal mortality, increased access to obstetric interventions such as Caesarean sections (CS) is of critical importance. As a result of women’s limited access to routine and emergency obstetric services in Nigeria, the country is a major contributor to the global burden of maternal mortality. In this analysis, we aim to establish rates of CS and determine socioeconomic or medical risk factors associated with having a CS in Enugu, southeast Nigeria. Methods Data for this study originated from the Healthy Beginning Initiative study. Participant characteristics were obtained from 2300 women at baseline via a semi-structured questionnaire. Only women between the ages of 17-45 who had singleton deliveries were retained for this analysis. Post-delivery questionnaires were used to ascertain mode-of-delivery. Crude and adjusted logistic regressions with Caesarean as the main outcome are presented. Results In this sample, 7.22% women had a CS. Compared to women who lived in an urban setting, those who lived in a rural setting had a significant reduction in the odds of having a CS (aOR: 0.58; 0.38-0.89). Significantly higher odds of having a CS were seen among those with high peripheral malaria parasitemia compared to those with low parasitemia (aOR: 1.54; 1.04-2.28) Conclusion This study revealed that contrary to the increasing trend in use of CS in low-income countries, women in this region of Nigeria had limited access to this intervention. Increasing age and socioeconomic proxies for income and access to care (e.g., having a tertiary-level education, full-time employment, and urban residence) were shown to be key determinants of access to CS. Further research is needed to ascertain the obstetric conditions under which women in this region receive CS, and to further elucidate the role of socioeconomic factors in accessing CS.

Enugu State is in the southeastern part of Nigeria. With a population between 3–6 million, according the state government, Enugu has predominately rural agrarian households with some urban centers [29]. Data for this study were derived from the Healthy Beginning Initiative study (HBI), which has been described in detail elsewhere [30]. Briefly, the parent study was a two-arm randomized cluster trial aimed to assess rates of HIV testing. HBI used congregation-based sampling to recruit pregnant women and their partners in 40 churches from four dioceses (the Anglican Diocese of Enugu, the Catholic Diocese of Enugu, the Anglican Diocese of Oji-River, and the Catholic Diocese of Agwu). Women who were self-identified as pregnant were included in the study. Recruitment occurred at the level of the churches and participants (in that order), while randomization occurred only at the church level—that is, churches were randomly assigned to either the intervention or control groups. The intervention group participated in educational games about healthy pregnancy habits in addition to HIV acquisition modes, and effective prevention of mother-to-child transmission. They were also offered free prenatal care in the form of blood samples taken on-site to test for HIV, hemoglobin, malaria, hepatitis B, sickle cell gene, and syphilis. Women who tested positive for HIV were linked to local HIV care. Women in the control group were encouraged to attend prenatal care through nearby health facilities and were also referred to the health facility for testing. The research team maintained direct contact with health facilities to confirm HIV testing and prevention of mother-to-child transmission completion. Women in both the control and intervention groups completed a post-delivery questionnaire, which was available every 2 to 3 months at church. Maternal mortality was not ascertained in the parent study. In Nigeria, approximately 35% of pregnant women deliver at a healthcare facility; therefore, a community-based sampling technique was employed to obtain a more representative sample of pregnant women [31]. Also, because pregnant women were recruited from churches in Enugu State, Nigeria, a more representative sample of pregnant women was expected as the population is more than 95% Christian and church attendance approaches 90% [30]. Pregnant women interested in the study were asked to read and sign a consent form in either English or the local language, Ibo. If the participant was illiterate, the consent form was read aloud to her in the local language; then the participant affixed her thumb print as an indication of her consent to participate in the study [30]. Demographic characteristics of participants were obtained at baseline via a semi-structured questionnaire [30]. Trained research staff and church-based health advisors administered this questionnaire written at a 6th grade reading level. Participants had the option of reading the survey themselves or having study personnel read to them. Because of inherent risks associated with having multiples (i.e. twins, triplets etc.), only women between the ages of 17–45 at baseline, who had singleton deliveries, were retained for this analysis. The length of pregnancy at baseline was not ascertained. Participants remained in the study until post-delivery. Post-delivery questionnaires were used to ascertain the mode of delivery, i.e., CS or vaginal birth, and singleton or multiple deliveries. Gravidity was dichotomized as primigravida and multigravida. Overall 76.6% (n = 2300) of participants who gave informed consent answered questions regarding their mode of delivery (Control n = 1042; Intervention n = 1258). Only women who answered the question regarding mode of delivery on the post-delivery questionnaire were retained for the analysis described in Table 1. However, not all women had complete data on socioeconomic and comorbid conditions; therefore, only 1,680 women were retained for the analysis described in Table 2. The study took place from January 2013 to August 2014. Notes: * Significance based on Pearson’s Chi-square for Fisher’s Exact p<0.05 significant aIndicates p-value based on Fishers Exact Notes: a. Models adjusted for other variables in the table *Indicates significance at p<0.05 Variables assessed by laboratory tests were hemoglobin, malaria parasitemia, human immunodeficiency virus (HIV), and sickle cell disease/trait (SCD). Participants were tested either at baseline—following recruitment into the study—or during their prenatal visits, whereupon records were obtained from the participant’s corresponding hospital. Hemoglobin was assessed using the standard cyanmethemoglobin method [32]. WHO guidelines for anemia were employed [33], and pregnant woman were classified as anemic if they had a hemoglobin level below 11g/dl. Peripheral parasitemia levels were assessed using the malaria plus system [34]. Because results indicated that 99% of this sample showed malaria parasitemia, malaria parasitemia was reclassified as low and high based on the malaria plus system with those in the 0 and + group classified as low parasitemia and those in the ++ and +++ groups classified as high parasitemia. HIV testing was performed using the Rapid Testing Serial Algorithm II [35]. If both tests were positive for HIV, the individual was considered HIV positive; if both tests were negative, the individual was considered HIV negative. When the tests showed conflicting results, they were both repeated and the results were read by another technician, who did not know the results of the first series of tests. EDTA-treated venous blood samples were used to screen for SCD. To decrease the chances of a false positive or negative of SCD, each sample was tested twice. If incongruent results occurred, the test was rerun. Univariate analyses were based on Pearson's Chi-square test for comparison of proportions for all variables. Fisher's exact tests for contingency tables were used to test for significance in proportions when the expected cell counts were less than 5. Chi-square analyses with p<0.10 were further analyzed using crude and adjusted logistic regression with CS as the main outcome. Having a CS in previous pregnancies is known to predict current CS; therefore, gravida was included in logistic regression models. Because no information was collected specifically regarding previous CS, a sensitivity analysis was performed among those experiencing their first pregnancy. Statistical significance was set at p<0.05. An adjusted trend in the Odds Ratio (OR) was conducted to determine whether there was an increasing trend in the odds of having a CS as a participant’s age and education level increased by using the “tabodds” function in Stata [Stata Corporation, College Station, TX]. Participant’s age was recorded during pregnancy on the baseline survey and was categorized as 17–24, 25–34, and 35–45. Only one women who had a CS had no formal education; therefore, education was categorized as none/primary, secondary and tertiary and above. Age and education were retained as categorical variables for inclusion in multivariable models. Birthweight was collected as part of the parent study; however, because it was self-reported and most newborns were not weighed at birth, birthweight was not deemed reliable. Therefore, birthweight was not included in this analysis. A power analysis was conducted in the parent study [30]; because mode of delivery was not the main outcome of the trial, no additional power analyses were completed before data collection. No difference was observed in mode of delivery between the control and intervention groups (CS intervention group 7.20%, control group 8.54%; mode of delivery chi-square: p = 0.27). Therefore, data was not restricted to only the control group and all analyses treated the sample as a cohort. Data analyses were conducted using Stata version 12.0. The parent study was approved by the Institutional Review Board of the University of Nevada, Reno, and the Nigerian National Health Research Ethics Committee. This secondary data-analysis was appraised by Research Office of the Mel and Enid Zuckerman College of Public Health, and was considered exempt. This research was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), the National Institute of Mental Health (NIMH) and the President’s Emergency Plan for AIDS Relief (PEPFAR) under award number R01HD075050 to Echezona Ezeanolue, MD.

Based on the information provided, here are some potential innovations that could be recommended to improve access to maternal health in Enugu, southeast Nigeria:

1. Mobile health clinics: Implementing mobile health clinics that can travel to rural areas and provide obstetric services, including Caesarean sections, to women who have limited access to healthcare facilities.

2. Telemedicine: Utilizing telemedicine technology to connect pregnant women in rural areas with healthcare professionals in urban centers, allowing for remote consultations and guidance throughout pregnancy and childbirth.

3. Community health workers: Training and deploying community health workers in rural areas to provide basic obstetric care, educate women about maternal health, and facilitate referrals to healthcare facilities for more complex cases.

4. Public-private partnerships: Collaborating with private healthcare providers to establish satellite clinics or maternity centers in rural areas, ensuring that women have access to obstetric interventions such as Caesarean sections closer to their homes.

5. Transportation support: Implementing transportation support programs to help pregnant women in rural areas reach healthcare facilities for prenatal care, delivery, and postnatal care, including emergency obstetric services.

6. Health education campaigns: Conducting targeted health education campaigns to raise awareness about the importance of maternal health, including the availability and benefits of obstetric interventions like Caesarean sections, in order to reduce stigma and increase demand for these services.

7. Strengthening healthcare infrastructure: Investing in the improvement and expansion of healthcare facilities in rural areas, including the availability of trained healthcare professionals and necessary medical equipment for safe and effective obstetric interventions.

It is important to note that these recommendations are based on the information provided and may need to be further assessed and tailored to the specific context and needs of Enugu, southeast Nigeria.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health in Enugu, southeast Nigeria is to focus on increasing access to Caesarean sections (CS) for women in rural areas. The study found that women living in rural settings had a significant reduction in the odds of having a CS compared to those in urban areas. Therefore, efforts should be made to improve access to obstetric interventions, such as CS, in rural communities.

To implement this recommendation, the following steps can be taken:

1. Improve infrastructure: Enhance the healthcare infrastructure in rural areas by establishing well-equipped medical facilities that can perform Caesarean sections. This includes ensuring the availability of skilled healthcare professionals, necessary medical equipment, and adequate facilities for safe surgeries.

2. Increase awareness and education: Conduct awareness campaigns to educate women and their families about the importance of timely access to obstetric interventions, including Caesarean sections. This can be done through community outreach programs, health education sessions, and partnerships with local organizations and community leaders.

3. Strengthen referral systems: Develop and strengthen referral systems between primary healthcare centers in rural areas and higher-level healthcare facilities that can perform Caesarean sections. This will ensure that women who require obstetric interventions are promptly referred to the appropriate facilities.

4. Provide financial support: Implement measures to reduce the financial burden associated with accessing Caesarean sections. This can include providing financial assistance or health insurance coverage specifically for maternal health services, including CS, for women in rural areas.

5. Improve transportation: Address transportation challenges by providing reliable and affordable transportation options for pregnant women in rural areas to access healthcare facilities that offer Caesarean sections. This can be achieved through partnerships with transportation providers or by establishing community-based transportation services.

6. Strengthen healthcare workforce: Invest in training and capacity building for healthcare professionals, particularly in rural areas, to ensure that they have the necessary skills and knowledge to perform Caesarean sections safely. This can be done through targeted training programs, continuing education, and incentives to attract and retain healthcare professionals in rural areas.

By implementing these recommendations, access to Caesarean sections and overall maternal health can be improved in Enugu, southeast Nigeria, leading to a reduction in maternal mortality and better health outcomes for women and their babies.
AI Innovations Methodology
Based on the information provided, here are some potential recommendations to improve access to maternal health in Enugu, southeast Nigeria:

1. Strengthen healthcare infrastructure: Invest in improving healthcare facilities, especially in rural areas, by providing necessary equipment, supplies, and trained healthcare professionals.

2. Increase awareness and education: Implement comprehensive maternal health education programs to raise awareness about the importance of prenatal care, safe delivery practices, and the availability of obstetric interventions like Caesarean sections.

3. Improve transportation services: Enhance transportation networks and services to ensure that pregnant women can easily access healthcare facilities, especially in remote areas.

4. Expand access to prenatal care: Establish more prenatal care clinics and mobile health units to provide regular check-ups, screenings, and counseling services to pregnant women, regardless of their location.

5. Strengthen referral systems: Develop effective referral systems between primary healthcare centers and higher-level facilities to ensure timely access to emergency obstetric care, including Caesarean sections, when needed.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Data collection: Collect baseline data on the current state of maternal health access, including the prevalence of Caesarean sections, socio-economic factors, and geographical distribution of healthcare facilities.

2. Model development: Develop a simulation model that incorporates the various factors influencing access to maternal health, such as distance to healthcare facilities, availability of transportation, awareness and education levels, and healthcare infrastructure.

3. Parameter estimation: Estimate the parameters of the simulation model based on available data and expert knowledge. This may involve conducting surveys, interviews, or analyzing existing data sources.

4. Scenario analysis: Use the simulation model to simulate different scenarios based on the recommended interventions. For example, simulate the impact of improving transportation services on reducing travel time to healthcare facilities for pregnant women.

5. Impact assessment: Analyze the simulation results to assess the potential impact of the recommended interventions on improving access to maternal health. This could include measuring changes in the prevalence of Caesarean sections, reduction in maternal mortality rates, and improvements in overall maternal health outcomes.

6. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the simulation results and identify key factors that have the most significant impact on improving access to maternal health.

7. Policy recommendations: Based on the simulation results, provide evidence-based policy recommendations to stakeholders, such as government agencies, healthcare providers, and non-governmental organizations, to guide decision-making and resource allocation for improving access to maternal health.

It is important to note that the methodology described above is a general framework and may need to be tailored to the specific context of Enugu, southeast Nigeria.

Yabelana ngalokhu:
Facebook
Twitter
LinkedIn
WhatsApp
Email