Evolution in caesarean section practices in North Kivu: Impact of caregiver training

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Study Justification:
– The study aims to assess the impact of health staff training on the quality of caesarean section (CS) procedures in North Kivu, Democratic Republic of Congo.
– The study is motivated by the need to address major inequalities in access to CS and significant variations in practices for determining the indications for the procedure in sub-Saharan Africa.
– Maternal and newborn deaths in the region are often due to suboptimal care, which is potentially preventable.
Study Highlights:
– The study compared two periods: group 1 (retrospective study from 01/11/2013 to 01/01/2016) and group 2 (prospective study from June 2019 to January 2020).
– CS frequency was approximately 17% in both study periods, with a higher frequency observed at North Kivu provincial hospital (34%).
– The main indications for CS were dystocia, fetal distress, and scarred uterus in both populations.
– After the implementation of health staff training, group 2 showed fewer incidences of dystocia, fetal distress, and neonatal death, as well as a more complete patient record, shorter hospital stay, and fewer blood transfusions.
– However, group 2 also had higher incidences of scarred uterus, post-operative complications, and low birth weight.
– The intervention did not have a statistically significant impact on low birth weight and neonatal mortality.
Recommendations for Lay Reader and Policy Maker:
– The study highlights the importance of health staff training in improving the quality of CS procedures and reducing maternal and neonatal morbidity and mortality.
– The findings suggest that training can lead to positive outcomes such as decreased neonatal deaths, dystocia, and fetal distress.
– However, there are also potential risks associated with training, such as increased post-operative complications and cases of scarred uterus and low birth weight.
– Further research and evaluation are needed to better understand the impact of training on these outcomes and to identify strategies for mitigating risks.
Key Role Players:
– Gynecologists, obstetricians, and midwives: Responsible for providing care during CS procedures and implementing the training.
– Pediatricians and anesthesiologists: Provide specialized support and expertise in managing neonatal care and anesthesia during CS.
– Health doctors and nurses in the operating room: Assist in the CS procedures and provide support to the trained staff.
– Provincial health department: Responsible for coordinating and overseeing the implementation of the training program.
– Provincial authority: Provides authorization and support for the research and implementation of the training program.
Cost Items for Planning Recommendations:
– Training materials and resources: Includes the development and distribution of educational materials, manuals, and guidelines.
– Training sessions and workshops: Covers the costs of organizing and conducting training sessions, including venue rental, transportation, and accommodation for trainers and participants.
– Staff salaries and allowances: Compensates the trainers and support staff involved in the training program.
– Equipment and supplies: Includes the procurement and maintenance of medical equipment and supplies needed for CS procedures.
– Monitoring and evaluation: Covers the costs of monitoring and evaluating the impact of the training program, including data collection and analysis.
– Infrastructure improvement: Budget items for improving working conditions, transfer conditions, and basic infrastructure at referral centers.
Please note that the provided cost items are general categories and the actual cost estimates would depend on the specific context and requirements of the training program.

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 retrospective and prospective analyses, which provides a good basis for comparison. The study population is clearly defined, and statistical analyses were performed to determine associations. However, the abstract does not provide specific details about the sample size or the training provided to health staff. To improve the evidence, it would be helpful to include more information about the training program, such as its duration, content, and methods of delivery. Additionally, providing the sample size for each group would enhance the clarity and reliability of the findings.

Introduction A caesarean section is a major obstetric procedure that can save the life of mother and child. Its purpose is to protect the mother’s health from the complications of childbirth and to protect the baby’s health. In sub-Saharan Africa (SSA), there are major inequalities in access to caesarean sections and significant variations in practices to determine the indications for the procedure. Periodic analyses of maternal deaths have shown that more than half of maternal and new born deaths are due to suboptimal care and are therefore potentially preventable. The objective of our study is to assess the impact of health staff training under the PADISS project (to support the health system’s integrated development) on the quality of CS procedures in North Kivu, by comparing two periods. Material and methods The populations compared were recruited from the referral hospitals in North Kivu, DRC (Democratic Republic of Congo). The first (group 1) was made up of patient files studied retrospectively for the period from 01/11/2013 to 01/01/2016. The second group (group 2), studied prospectively, comprised patient files from June 2019 to January 2020. Obstetric, maternal and foetal data were compared. Statistical analyses were performed using STATA/IC 15.0 for Windows. Univariate and multiple logistic regression was performed to determine which characteristics are associated with maternal and perinatal morbidity and mortality. A p value < 0.05 was considered statistically significant. Results CS frequency was approximately 17% in both study periods. We observed a CS frequency of about 34% at North Kivu provincial hospital for the two populations studied. The main indications for CS were dystocia, foetal distress and scarred uterus for both populations. In the population studied prospectively, after the implementation of health staff training, there were fewer incidence rate of dystocia, foetal distress and neonatal death, a more complete patient record, shorter hospital stay, and fewer blood transfusions but more incidence rate of scarred uterus, post-operative complications and low birth weight. Intervention had no statistically significant impact on low birth weight (OR = 1.9, p = 0.13), on neonatal mortality (OR = 0.69, p = 0.21). Conclusion Our study shows a decrease in neonatal deaths, dystocia and foetal distress, but an increase in post-operative complications, maternal deaths and cases of scarred uterus and low birth weight. However, multiple logistic regression did no support the conclusion.

The first, baseline population was recruited from referral hospitals in the city of Goma from the period 01/11/2013 to 01/01/2016 (group 1). It is a retrospective, descriptive and analytical study concerning all CS performed across all deliveries that occurred during the period under study [10]. Twin pregnancies were excluded from the study. The medical staffs in each hospital were capable of performing a CS. A data collection form was designed. Data collection was carried out by a team of investigators made up of doctors and midwives in these maternity units. The sources of information were the delivery record, partograph, surgical reports and neonatal records. The sociodemographic parameters (maternal age, marital status, level of education, ethnicity, occupation, primary residence, weight, height), medical and surgical history, obstetric environment (antenatal monitoring), and maternal and perinatal morbidity and mortality (complications and outcome) were analyzed. The data collection was anonymous for the retrospective study after the agreement of the provincial authority. For the prospective study, consent was verbal, free and informed after explaining the objectives of this research. After analysis of our retrospective study, cesarean section was not a factor in reducing maternal and perinatal morbidity and mortality, hence the benefit of improving working conditions at the level of referral centers, transfert conditions, basic infrastructure and caregiver training. Following these findings, specific training was given to the local health staff. The training was based around theory and clinical activities that were carried out during our various visits in order to increase the skills of the gynaecologists, obstetricians and midwives in the different health zones in North Kivu. This training was delivered by the team of gynaecologists, obstetricians, paediatricians, anaesthetists, hygienists, midwives and theatre nurses at Erasme hospital in Brussels as part of the PADISS project. For the theory activities, several seminars were held on the pedagogical elements with a continuing education frame of reference, on the organisation of clinical audits, the preparation of treatment protocols with all the gynaecologists and members of the provincial health department (DPS), the preparation of different themes for the continuing education, such as gestational hypertension, gestational diabetes, the management of antenatal and post-partum hemorrhage, caesarean section and its alternatives, echography in gynaecology and obstetrics, antenatal consultations, monitoring during labour, the use of obstetric manoeuvres, hospital hygiene, the maintenance of medical files, and neonatal care. The gynaecologists, obstetricians, midwives and maternity-paediatric nurses from these various health zones attended these non-certificate courses on a daily basis. For the clinical activities, the objective was to provide technical support to medical and midwifery trainers, establish the pedagogical method for the training linking the frame of reference and the different activities, and carry out individual skills assessments. The clinical activities were based around ward rounds with trainee doctors and by the provincial trainer, participation in gynaecological and obstetrical consultations, the approach to paraclinical tests taking into account the situation on the ground, assistance in the operating theatre and delivery room, as well as teaching obstetric maneuvers to all health staff using simulations on a manikin. A second population (group 2) was therefore selected prospectively in order to assess the benefit of the training provided. The training started from February 2016 until March 2020. The various teams of gynecologists, pediatricians, anesthesiologists, health doctors, midwives, nurses in the operating room had carried out several missions in the field. Each mission was for an average duration of 10 days, 8 hours of theoretical and practical training per day. The second group was recruited from the same hospitals in Goma for the period from June 2019 to January 2020 (group 2). This was a prospective, analytical, cross-disciplinary study concerning all CSs performed across all deliveries (2094) that occurred during the period under study. Twin pregnancies were excluded from the study. All the women who had a CS in the hospitals were included exhaustively in the study. Data collection was carried out by a team of investigators made up of doctors and midwives in these maternity units. The sources of information were the delivery record, partograph, surgical reports and neonatal records. The sociodemographic parameters (maternal age, marital status, level of education, ethnicity, occupation, primary residence, weight, height), medical and surgical history, obstetric environment (antenatal visits), and maternal and perinatal morbidity and mortality (complications and outcome) were analyzed and compared with group 1. The findings are reported as a percentage for the categorical variables, as average and standard deviation (SD) or median and interquartile range [25%-75%] for the quantitative variables depending on their respective distribution, Gaussian or otherwise. The categorical variables were compared between the two groups using the Chi2 Pearson test, or Fisher’s exact test for a small sample. The quantitative variables were compared using the Mann Whitney test depending on their respective distribution, Gaussian or otherwise. Univariate and multiple logistic regression was used to study the association between our variables (socio-demographic, medical and obstetric) and three other variables (low birth weight, neonatal mortality and post-operative complications). The variables with a high percentage of missing values were not included in the univariate analysis. The variables included in our multiple logistic regression model were selected according to the statistical association (p ≤ 0.05) with the result of the univariate analysis, and to the total number of cases. The odds ratios and their 95% confidence intervals were calculated using each variable coefficient (and standard errors) in the model. The significance of each coefficient was tested using the Wald test. The Hosmer and Lemeshow test was used to verify the model’s goodness of fit. A value of p < 0.05 was considered statistically significant. Statistical analyses were performed using STATA/IC 16.0 for Windows. Ethic statement: The provincial health division of North-Kivu in the democratic Republic of Congo does not have an ethics commitee. Authorization to conduct this research was obtained by the same provincial authority that had waived informed consent for the retrospective study. The data in this retrospective study was anonymised. For the prospective study, patients had given their informed verbal consent for data from their medical records to be used for research.

Based on the provided information, the innovation for improving access to maternal health is caregiver training. The study conducted in North Kivu, Democratic Republic of Congo, implemented health staff training under the PADISS project to support the integrated development of the health system. The training aimed to increase the skills of gynecologists, obstetricians, midwives, and other healthcare professionals involved in maternal care. The training included theory seminars on various topics related to maternal health, such as gestational hypertension, gestational diabetes, antenatal and postpartum hemorrhage management, caesarean section and its alternatives, hospital hygiene, and neonatal care. Clinical activities were also conducted, including ward rounds, participation in consultations, assistance in the operating theatre and delivery room, and teaching obstetric maneuvers using simulations. The impact of the caregiver training on the quality of caesarean section procedures and maternal and perinatal outcomes was assessed through a comparison of two study periods. The findings showed a decrease in neonatal deaths, dystocia, and fetal distress, but an increase in post-operative complications, maternal deaths, cases of scarred uterus, and low birth weight. However, the multiple logistic regression did not support a conclusive impact on low birth weight and neonatal mortality.
AI Innovations Description
The recommendation to improve access to maternal health in this context is to focus on caregiver training. The study mentioned in the description implemented health staff training under the PADISS project, which aimed to support the integrated development of the health system. The training included theory and clinical activities conducted by a team of healthcare professionals from Erasme hospital in Brussels. The training covered various topics such as gestational hypertension, gestational diabetes, management of antenatal and post-partum hemorrhage, caesarean section and its alternatives, echography in gynaecology and obstetrics, antenatal consultations, monitoring during labor, obstetric maneuvers, hospital hygiene, maintenance of medical files, and neonatal care.

The impact of the training was assessed by comparing two study periods. The results showed a decrease in neonatal deaths, dystocia, and fetal distress, indicating an improvement in the quality of caesarean section procedures. However, there was an increase in post-operative complications, maternal deaths, cases of scarred uterus, and low birth weight. The training did not have a statistically significant impact on low birth weight and neonatal mortality.

Based on these findings, it is recommended to continue and strengthen caregiver training programs to further improve access to maternal health. The training should focus on enhancing skills and knowledge related to safe delivery practices, proper management of complications, and post-operative care. Additionally, it is important to address the factors contributing to post-operative complications, maternal deaths, scarred uterus, and low birth weight to ensure comprehensive and effective maternal healthcare.
AI Innovations Methodology
Based on the provided description, the study aims to assess the impact of health staff training on the quality of caesarean section (CS) procedures in North Kivu, Democratic Republic of Congo. The study compares two periods: group 1 (retrospective study from 01/11/2013 to 01/01/2016) and group 2 (prospective study from June 2019 to January 2020). The methodology involves collecting data from patient files, analyzing obstetric, maternal, and fetal data, and performing statistical analyses using STATA/IC 15.0 for Windows.

To improve access to maternal health, here are some potential recommendations:

1. Strengthening healthcare infrastructure: Investing in healthcare facilities, equipment, and resources can improve access to maternal health services. This includes ensuring the availability of well-equipped maternity units, operating theaters, and neonatal care facilities.

2. Enhancing healthcare workforce: Training and capacity building programs for healthcare professionals, including doctors, midwives, and nurses, can improve the quality of maternal health services. This can involve providing specialized training in obstetric care, emergency obstetric care, and neonatal resuscitation.

3. Improving transportation and referral systems: Developing efficient transportation systems and referral networks can help pregnant women access timely and appropriate care. This can involve providing ambulances or other means of transportation for emergency cases and establishing clear protocols for referrals between healthcare facilities.

4. Increasing community awareness and engagement: Conducting community outreach programs to raise awareness about maternal health and the importance of antenatal care can encourage women to seek timely healthcare services. This can involve community health education sessions, mobile clinics, and community-based health workers.

5. Implementing telemedicine and digital health solutions: Utilizing telemedicine and digital health technologies can help overcome geographical barriers and improve access to maternal health services. This can involve remote consultations, telemonitoring of high-risk pregnancies, and mobile health applications for maternal health education and support.

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

1. Define the parameters: Identify the specific indicators or outcomes that will be used to measure the impact of the recommendations on improving access to maternal health. This could include indicators such as the number of CS procedures, maternal and neonatal mortality rates, complication rates, and patient satisfaction.

2. Collect baseline data: Gather data on the current state of maternal health access, including relevant indicators and demographic information. This can involve reviewing existing data sources, conducting surveys or interviews, and analyzing health facility records.

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the chosen indicators. This can involve using statistical modeling techniques, such as regression analysis or mathematical modeling, to estimate the expected changes in the indicators based on the implementation of the recommendations.

4. Validate the model: Validate the simulation model by comparing its predictions with real-world data or expert opinions. This can involve conducting sensitivity analyses or comparing the model’s outputs with observed changes in maternal health indicators in similar contexts.

5. Simulate different scenarios: Use the validated simulation model to simulate the impact of different combinations or variations of the recommendations. This can involve adjusting the parameters of the model to reflect different levels of implementation or different contextual factors.

6. Analyze the results: Analyze the simulated results to assess the potential impact of the recommendations on improving access to maternal health. This can involve comparing the outcomes of different scenarios, identifying key drivers of change, and evaluating the cost-effectiveness of the recommendations.

7. Communicate findings and make recommendations: Present the findings of the simulation analysis in a clear and concise manner. Use the results to inform decision-making and make recommendations for policy and programmatic interventions to improve access to maternal health.

It is important to note that the specific methodology for simulating the impact of recommendations may vary depending on the available data, resources, and context.

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