Caesarean section performed by medical doctors and associate clinicians in Sierra Leone

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Study Justification:
– Many countries lack sufficient medical doctors to provide safe and affordable surgical and emergency obstetric care.
– Task-sharing with associate clinicians (ACs) has been suggested as a solution to fill this gap.
– This study aimed to assess the maternal and neonatal outcomes of caesarean sections performed by ACs and doctors.
Study Highlights:
– The study included all nine hospitals in Sierra Leone where both ACs and doctors performed caesarean sections.
– A total of 1282 patients were enrolled in the study between October 2016 and May 2017.
– Data for 1274 caesarean sections were analyzed, with 443 performed by ACs and 831 by doctors.
– The primary outcome, maternal mortality, was significantly lower in the AC group compared to the doctor group.
– There were fewer stillbirths in the AC group, but patients were readmitted twice as often.
– The study concluded that caesarean sections performed by ACs are not inferior to those performed by doctors, suggesting that task-sharing can be a safe strategy to improve access to emergency surgical care in areas with a shortage of doctors.
Recommendations for Lay Reader and Policy Maker:
– Task-sharing with associate clinicians can be an effective strategy to address the shortage of doctors and improve access to emergency surgical care.
– The study findings support the implementation of policies and programs that promote and facilitate task-sharing in healthcare settings.
– Further research and evaluation are needed to assess the long-term impact and sustainability of task-sharing initiatives.
– Collaboration between healthcare providers, policymakers, and stakeholders is crucial to ensure the successful implementation of task-sharing programs.
Key Role Players:
– Medical doctors
– Associate clinicians
– Anaesthesia team members
– Primary investigator
– Research nurses
– Sierra Leone Ethics and Scientific Review Committee
– Regional Committees for Medical and Health Research Ethics
– International Clinical Trial Registry
Cost Items for Planning Recommendations:
– Training and capacity building for associate clinicians and anaesthesia team members
– Financial incentives for healthcare providers involved in the study
– Health promotion packages for women during home visits
– Data collection and management tools (e.g., Microsoft Excel® database)
– Supervision and mentoring of research nurses
– Administrative and logistical support for hospital visits and follow-up home visits
– Research ethics review and registration fees
– Statistical analysis software (e.g., Stata®)
– Communication and coordination expenses for collaboration between stakeholders

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, as it is based on a prospective observational multicentre non-inferiority study with a large sample size. The study protocol was approved by ethics committees and registered in a clinical trial registry. The primary outcome and secondary outcomes were clearly defined and analyzed. However, to improve the evidence, it would be beneficial to provide more details on the study methodology, such as the inclusion and exclusion criteria, data collection procedures, and statistical analysis methods.

Background: Many countries lack sufficient medical doctors to provide safe and affordable surgical and emergency obstetric care. Task-sharing with associate clinicians (ACs) has been suggested to fill this gap. The aim of this study was to assess maternal and neonatal outcomes of caesarean sections performed by ACs and doctors. Methods: All nine hospitals in Sierra Leone where both ACs and doctors performed caesarean sections were included in this prospective observational multicentre non-inferiority study. Patients undergoing caesarean section were followed for 30 days. The primary outcome was maternal mortality, and secondary outcomes were perinatal events and maternal morbidity. Results: Between October 2016 and May 2017, 1282 patients were enrolled in the study. In total, 1161 patients (90⋅6 per cent) were followed up with a home visit at 30 days. Data for 1274 caesarean sections were analysed, 443 performed by ACs and 831 by doctors. Twin pregnancies were more frequently treated by ACs, whereas doctors performed a higher proportion of operations outside office hours. There was one maternal death in the AC group and 15 in the doctor group (crude odds ratio (OR) 0⋅12, 90 per cent confidence interval 0⋅01 to 0⋅67). There were fewer stillbirths in the AC group (OR 0⋅74, 0⋅56 to 0⋅98), but patients were readmitted twice as often (OR 2⋅17, 1⋅08 to 4⋅42). Conclusion: Caesarean sections performed by ACs are not inferior to those undertaken by doctors. Task-sharing can be a safe strategy to improve access to emergency surgical care in areas where there is a shortage of doctors.

This was a prospective observational multicentre non‐inferiority study of women who underwent caesarean section, including laparotomy for uterine rupture. All hospitals in Sierra Leone where both ACs trained in surgery and doctors were performing caesarean section at the start of the study interval were invited to participate in the study. Women who had caesarean sections done by either an AC or doctor as the primary surgical provider were eligible for inclusion. Patients were excluded if the fetus weighed less than 500 g or if essential data were missing. After oral explanation of the study, written consent was obtained either before, or as soon as possible after, the procedure. The study protocol (Appendix S1, supporting information) was approved by the Sierra Leone Ethics and Scientific Review Committee and the Regional Committees for Medical and Health Research Ethics in central Norway (ethical clearance number 2016/1163), and registered at the International Clinical Trial Registry (ISRCTN16157971). In each hospital, anaesthesia team members were trained to enrol patients in the study and to collect the in‐hospital data. The primary investigator collected and reviewed the data by undertaking hospital visits at 1–3‐week intervals, at which time the anaesthesia nurses were also mentored in enrolment and data collection. The data were entered into a Microsoft Excel® (Microsoft, Redmond, Washington, USA) database on location. Missing or inconsistent data were supplemented from operation logbooks or patient files. Financial incentives were given to the anaesthesia nurses based on the number of patients included in the study. Follow‐up home visits were done from 30 days after the caesarean section by one of four trained research nurses, who also assisted the anaesthesia team members with the collection of in‐hospital data. The research nurses were supervised by the primary investigator biweekly. During the home visits, women received an incentive in the form of a health promotion package with basic sanitary items. In‐hospital outcome data were validated during the follow‐up home visits. For patients lost to follow‐up, only the data collected during hospital admission were analysed. The primary outcome of the study was perioperative maternal mortality, defined as maternal death during caesarean section or within 30 days after the operation. Perioperative maternal mortality was subdivided into intraoperative death, in‐hospital death and death after discharge. Secondary outcomes were perinatal events and maternal morbidity parameters. Perinatal events included stillbirth, perinatal death and neonatal death. Stillbirth was classified as macerated where the fetus showed skin and soft tissue changes suggesting death occurred before the start of the delivery, and fresh where the fetus lacked such skin changes15. Neonatal deaths were divided into early (within 7 days after delivery) and late (between 8 and 28 days after delivery) deaths. Perinatal deaths were defined as the sum of fresh stillbirths and early neonatal deaths. Maternal morbidity parameters included: blood loss exceeding 600 ml, reoperation, readmission, wound infection and postoperative pain. Presence of persistent postoperative abdominal pain and readmission were surveyed during home visits. Wound infections and reoperations were either reported during admission or assessed during the home visit. In addition, duration of operation (interval from incision to final closure) and duration of hospital stay (excluding readmission) were recorded. The sample size calculation was based on the non‐inferiority assumption that caesarean sections performed by ACs are non‐inferior to those done by doctors for the primary outcome perioperative maternal mortality. Comparable studies reported a maternal mortality rate after caesarean section between 0·8 and 2·0 per cent16, 17. As Sierra Leone has the world’s highest maternal mortality rate, the upper limit of 2·0 per cent was used. In a previous meta‐analysis9, the lower bound of the confidence interval was an odds ratio (OR) of 2·75, which, with an average mortality rate of 2·0 per cent, led to a suggested non‐inferiority margin of 5·5 per cent. By applying a conservative approach and taking into account the importance of the outcome measure mortality, the non‐inferiority margin was set at 2·5 per cent (equivalent to an OR of 2·31 with a 2·0 per cent mortality rate)18. With α = 0·05 and β = 0·10, an expected success rate in both groups of 98 per cent and a non‐inferiority limit of 2·5 per cent, the total required sample size was calculated to be 107619. With an anticipated loss to follow‐up of 10 per cent, inclusion of a total of 1195 patients was required. Baseline and operative characteristics are presented as numbers with percentages and mean(s.d.) values. Missing data are indicated in the tables. Student’s t test was used for comparison of numerical means and Fisher’s exact test to compare categorical data. ORs were calculated by exact logistic regression and presented with 90 per cent confidence intervals, corresponding to a significance of 0·05 (α) for testing in a non‐inferiority analysis18. For the primary outcome, perioperative maternal death, both crude ORs and ORs adjusted for clusters using exact logistic regression are presented. P < 0·050 was considered statistically significant for equality tests. Statistical analyses were performed with Stata® 15.1 (StataCorp, College Station, Texas, USA). The primary data are available from the corresponding author on request.

The recommendation from the study is to implement task-sharing with associate clinicians (ACs) to perform caesarean sections in areas with a shortage of medical doctors. The study conducted in Sierra Leone found that caesarean sections performed by ACs were not inferior to those performed by doctors in terms of maternal and neonatal outcomes. The study suggests that task-sharing can be a safe strategy to improve access to emergency surgical care in areas where there is a shortage of doctors.

To develop this recommendation into an innovation, training programs can be implemented for ACs in surgical skills. This would involve establishing standardized training curricula, conducting regular assessments and evaluations, and providing ongoing mentorship and supervision for ACs. Additionally, it may be beneficial to establish referral systems and protocols to ensure that cases requiring specialized care can be appropriately managed.

By implementing this innovation, access to maternal health services, particularly caesarean sections, can be improved in areas with limited access to medical doctors. This has the potential to reduce maternal and neonatal mortality and morbidity rates, as well as improve overall maternal health outcomes.
AI Innovations Description
The recommendation from the study is to implement task-sharing with associate clinicians (ACs) to perform caesarean sections in areas with a shortage of medical doctors. The study conducted in Sierra Leone found that caesarean sections performed by ACs were not inferior to those performed by doctors in terms of maternal and neonatal outcomes. The study suggests that task-sharing can be a safe strategy to improve access to emergency surgical care in areas where there is a shortage of doctors.

This recommendation can be developed into an innovation by implementing training programs for ACs in surgical skills and providing them with the necessary resources and support to perform caesarean sections. This could involve establishing standardized training curricula, conducting regular assessments and evaluations, and ensuring ongoing mentorship and supervision for ACs. Additionally, it may be beneficial to establish referral systems and protocols to ensure that cases requiring specialized care can be appropriately managed.

By implementing this innovation, it is expected that access to maternal health services, particularly caesarean sections, can be improved in areas with limited access to medical doctors. This can potentially reduce maternal and neonatal mortality and morbidity rates, as well as improve overall maternal health outcomes.
AI Innovations Methodology
To simulate the impact of the main recommendations of this abstract on improving access to maternal health, you could consider the following methodology:

1. Identify the target population: Determine the specific areas or regions with a shortage of medical doctors where the task-sharing intervention will be implemented. This could be based on existing data on healthcare workforce distribution and access to maternal health services.

2. Establish a control group: Select a comparable group of healthcare facilities or regions where the task-sharing intervention will not be implemented. This will serve as a control group to compare the impact of the intervention.

3. Develop a training program: Design a comprehensive training program for associate clinicians (ACs) in surgical skills related to caesarean sections. This program should include theoretical and practical components, as well as ongoing mentorship and supervision.

4. Implement the intervention: Roll out the training program and provide the necessary resources and support to the ACs in the intervention group. Ensure that standardized training curricula are followed, and regular assessments and evaluations are conducted to monitor progress and identify areas for improvement.

5. Monitor and collect data: Establish a system to collect data on maternal and neonatal outcomes, including maternal mortality, perinatal events, and maternal morbidity. This data should be collected for both the intervention and control groups.

6. Analyze the data: Compare the maternal and neonatal outcomes between the intervention and control groups using appropriate statistical methods. This analysis should assess the impact of task-sharing on improving access to maternal health services and determine if there are any significant differences in outcomes between the two groups.

7. Evaluate the results: Interpret the findings of the analysis and assess the overall impact of the task-sharing intervention on improving access to maternal health services. Consider factors such as changes in maternal and neonatal mortality rates, reduction in maternal morbidity, and improvements in overall maternal health outcomes.

8. Disseminate the findings: Share the results of the simulation study through publications, conferences, and other relevant platforms to inform policymakers, healthcare providers, and stakeholders about the potential benefits of implementing task-sharing interventions in areas with a shortage of medical doctors.

It is important to note that this methodology is a simulation based on the recommendations from the abstract. The actual implementation of the intervention may require additional considerations and adaptations based on the specific context and resources available in the target areas.

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