Prevalence, Indications, and Community Perceptions of Caesarean Section Delivery in Ngora District, Eastern Uganda: Mixed Method Study

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Study Justification:
– Uganda has a high maternal mortality ratio (MMR) of 336/100,000 live births.
– Caesarean section is essential for emergency obstetric care services and achieving equity and equality.
– The study aimed to determine the prevalence, indications, and community perceptions of caesarean section delivery in Eastern Uganda.
Study Highlights:
– The study was conducted in Ngora District, Eastern Uganda.
– It was a cross-sectional descriptive study using both health facility and community-based data.
– Quantitative data was collected by reviewing maternity charts, while qualitative data was collected through focus group discussions.
– The study found that 14% of deliveries were by caesarean section.
– The major indications for caesarean section were obstructed labor, fetal distress, big baby, and cephalopelvic disproportion (CPD).
– Community perceptions of caesarean section varied, with some considering it lifesaving and others associating it with negative beliefs and misconceptions.
– The study highlighted the need for more counseling, male involvement, and efforts to demystify community misconceptions about caesarean section.
Recommendations:
– Increase counseling and education about caesarean section to address misconceptions and improve access.
– Involve men in the counseling and consent process for caesarean section.
– Address the rise in caesarean section rates by promoting vaginal delivery when appropriate.
– Collaborate with community leaders and health workers to demystify misconceptions about caesarean section.
Key Role Players:
– Health facility staff (doctors, nurses, midwives) for counseling and education.
– Community leaders for advocacy and community engagement.
– Village health team members for community mobilization and selection of participants.
– Research assistants for data collection and analysis.
Cost Items for Planning Recommendations:
– Training for health facility staff on counseling and education: budget for training materials, facilitators, and logistics.
– Community engagement activities: budget for meetings, transportation, and communication materials.
– Research assistants: budget for their compensation, training, and travel expenses.
– Data analysis software (NVIVO) and statistical software (SPSS): budget for software licenses or subscriptions.
– Translation services: budget for translating focus group discussions from the local language to English.
– Printing and dissemination of educational materials: budget for printing and distribution costs.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design includes both quantitative and qualitative methods, which provides a comprehensive understanding of the prevalence, indications, and community perceptions of caesarean section delivery in Eastern Uganda. The quantitative data was collected through a retrospective review of maternity charts, and the qualitative data was collected through focus group discussions. The data analysis was done using appropriate software. However, there are some areas for improvement. First, the sample size and selection process for the focus group discussions could be further explained to ensure representativeness. Second, the limitations of the study should be mentioned, such as any potential biases or generalizability issues. Finally, providing more details on the statistical analysis methods used for the quantitative data would enhance the transparency and replicability of the study.

Background. Uganda has a high maternal mortality ratio (MMR) of 336/100,000 live births. Caesarean section is fundamental in achieving equity and equality in emergency obstetric care services. Despite it being a lifesaving intervention, it is associated with risks. There has been a surge in caesarean section rates in some areas, yet others remain underserved. Studies have shown that rates exceeding 15% do not improve maternal and neonatal morbidity and mortality. Our study aimed at determining the prevalence, indications, and community perceptions of caesarean section delivery in Eastern Uganda. Methods and Materials. It was both health facility and commuity based cross-sectional descriptive study in Ngora district, Eastern Uganda. Mixed methods of data collection were employed in which quantitative data were collected by retrospectively reviewing all charts of all the mothers that had delivered at the two comprehensive emergency obstetric care service facilities between April 2018 and March 2019. Qualitative data were collected by focus group discussions till point of saturation. Data were entered into EpiData (version 3.1) and analyzed using SPSS software (version 24). Qualitative data analysis was done by transcribing and translating into English verbatim and then analyzed into themes and subthemes with the help of NVIVO 12. Results. Of the total 2573 deliveries, 14% (357/2573) were by CS. The major single indications were obstructed labour 17.9%, fetal distress 15.3%, big baby 11.6%, and cephalopelvic disproportion (CPD) 11%. Although appreciated as lifesaving for young mothers, those with diseases and recurrent intrauterine fetal demise, others considered CS a curse, marriage-breaker, misfortune, money-maker and a sign of incompetent health workers, and being for the lazy women and the rich civil servants. The rise was also attributed to intramuscular injections and contraceptive use. Overall, vaginal delivery was the preferred route. Conclusion. Several misconceptions that could hinder access to CS were found which calls for more counseling and male involvement. Although facility based, the rate is higher than the desired 5-15%. It is higher than the projected increase of 36% by 2021. It highlights the need for male involvement during counseling and consent for CS and concerted efforts to demystify community misconceptions about women that undergo CS. These misconceptions may be a hindrance to access to CS.

This was a both a community and health facility based cross-sectional study design with mixed methods (qualitative and quantitative methods). For quantitative data, we did a retrospective review of all the maternity charts of mothers that had delivered between April 2018 and March 2019. This was done at the two major health centers, Ngora health Centre IV and Ngora district Maternity Unit—the two are the only ones that provide comprehensive emergency obstetric care services (CEmOC) in the district. From these charts, we were able to review the demographics, obstetric factors, and the indications for the CS. Quantitative data collected from the charts were double-checked for completeness and later entered into EpiData (version 3.1) and analyzed using SPSS software (version 24). Tables and frequencies were used for data summarization. The study design for the qualitative part was phenomenological. We held focus group discussions (FGDs) with men and women at different times using the interview guides that were developed with the aid of the Busitema University Community Based Education and Research Services (COBERS) department that is experienced in phenomenological studies (Supplementary Materials (available here)). The research assistants were trained in guiding interviews prior to this exercise. We selected community participants with the aid of the village health team members. The participants in these FGDs were purposively selected targeting those mothers who had undergone caesarean section and men whose wives had undergone caesarean section in a period not exceeding one year prior to the study period. One year was considered not too long for a person to remember the events surrounding the event. Each FGD had 6–12 participants and lasted about 1-2 hours. We held two FDGs for men and three for women. We stopped after reaching the point of saturation. Each focus group discussion had a research assistant who also did the recording of the proceedings. The FGDs led by research assistants were held in the major local language Ateso and recorded, transcribed, and translated into English verbatim. Each transcript was analyzed by two researchers working independently to reduce bias using NVIVO software version 12. Coding was done manually based on the key words and phrases developed from the data. The codes were then grouped together into higher-order headings. Accordingly, on a higher logical level of abstractions codes, subcategories, categories, and themes were formed. The themes were categorized according to the perceptions, indications, risk factors, and advantages relating to the caesarean section. The data were sorted out thematically by clustering material with similar content. At this stage, we used creative and analytical reasoning to determine categories of the meaning.

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

1. Male involvement during counseling and consent: Encourage the involvement of male partners in the decision-making process for caesarean section (CS) delivery. This could help address misconceptions and increase support for CS among the community.

2. Increased counseling services: Provide comprehensive counseling services to pregnant women and their families, addressing misconceptions and providing accurate information about the benefits and risks of CS. This could help demystify community misconceptions and promote informed decision-making.

3. Community education and awareness campaigns: Conduct community-wide education and awareness campaigns to address misconceptions about CS and promote understanding of its importance in saving lives. This could involve community meetings, workshops, and the use of various media channels to disseminate information.

4. Training and capacity building for health workers: Provide training and capacity building programs for health workers, focusing on CS delivery and counseling skills. This could help improve the quality of care provided and ensure that accurate information is shared with pregnant women and their families.

5. Strengthening referral systems: Improve the referral systems between lower-level health facilities and comprehensive emergency obstetric care service facilities. This could ensure timely access to CS for women who require it and reduce delays in receiving appropriate care.

6. Integration of maternal health services: Integrate maternal health services, including CS delivery, with other healthcare services such as family planning and immunization. This could improve access to comprehensive care and ensure that women receive the necessary services at the same facility.

7. Mobile health (mHealth) interventions: Utilize mobile health technologies to provide information, reminders, and support to pregnant women and their families. This could include SMS reminders for antenatal care visits, educational videos, and access to teleconsultations with healthcare providers.

8. Financial support and incentives: Explore options for providing financial support or incentives to pregnant women who require CS, especially those from low-income backgrounds. This could help reduce financial barriers and improve access to timely and safe CS delivery.

It is important to note that these recommendations are based on the information provided and may need to be adapted to the specific context and resources available in Eastern Uganda.
AI Innovations Description
Based on the study findings, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Increase male involvement and counseling: The study found that community misconceptions about caesarean sections (CS) were hindering access to this life-saving intervention. To address this, it is recommended to involve men in the counseling and consent process for CS. This can be done by implementing innovative strategies such as male-focused educational campaigns, support groups, and involving male partners in antenatal care visits.

By actively involving men in the decision-making process and addressing their concerns and misconceptions, it is possible to improve community acceptance and support for CS, ultimately increasing access to maternal health services.

It is important to note that this recommendation is based on the specific findings of the study mentioned and may need to be further evaluated and adapted to the local context before implementation.
AI Innovations Methodology
Based on the study described, here are some potential recommendations for improving access to maternal health:

1. Increase availability of comprehensive emergency obstetric care services (CEmOC) facilities: Expand the number of health centers that provide CEmOC services in Ngora district, Eastern Uganda. This will ensure that more women have access to life-saving interventions like caesarean sections when needed.

2. Strengthen health worker training and capacity: Provide additional training and support for health workers in CEmOC facilities to improve their skills and knowledge in conducting caesarean sections. This will help ensure that the procedure is performed safely and effectively.

3. Improve community education and awareness: Conduct community outreach programs to educate both men and women about the benefits and importance of caesarean sections in saving lives during childbirth. Address misconceptions and cultural beliefs that may hinder access to caesarean sections.

4. Enhance male involvement in decision-making: Encourage men to be actively involved in discussions and decision-making regarding caesarean sections. This can help overcome barriers related to cultural norms and misconceptions, and ensure that women receive the necessary support and consent for the procedure.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Baseline data collection: Gather data on the current access to maternal health services, including the number of caesarean sections performed, the reasons for the procedure, and community perceptions. This can be done through retrospective chart reviews and qualitative interviews.

2. Define indicators: Identify specific indicators that will measure the impact of the recommendations, such as the number of CEmOC facilities established, the percentage of health workers trained in CEmOC, and changes in community perceptions towards caesarean sections.

3. Develop a simulation model: Create a simulation model that incorporates the baseline data and the potential impact of the recommendations. This model should consider factors such as population demographics, health facility capacity, and community attitudes.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. Adjust the parameters related to the recommendations (e.g., number of CEmOC facilities, level of health worker training) and observe the changes in the outcomes.

5. Analyze results: Analyze the simulation results to determine the projected impact of the recommendations on improving access to maternal health. Assess the changes in indicators such as the number of caesarean sections performed, reduction in maternal mortality ratio, and improvements in community perceptions.

6. Refine and validate the model: Continuously refine and validate the simulation model based on real-world data and feedback from stakeholders. This will ensure that the model accurately represents the dynamics of maternal health access in the context of Ngora district, Eastern Uganda.

By using this methodology, policymakers and healthcare providers can gain insights into the potential impact of different recommendations on improving access to maternal health. This can inform decision-making and resource allocation to effectively address the challenges identified in the study.

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