The Hidden Costs of a Free Caesarean Section Policy in West Africa (Kayes Region, Mali)

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Study Justification:
– The study aimed to evaluate the direct and indirect expenses associated with caesarean interventions performed in EmONC (Emergency Obstetric and Newborn Care) in the Kayes region of Mali.
– The fee exemption policy for EmONC in Mali aims to lower the financial barrier to care, but it was important to assess whether this policy was benefiting all women and identify any barriers to access for women of the lowest socio-economic group.
Study Highlights:
– The study found that women in the Kayes region spent on average 77,017 FCFA (163 USD) for a caesarean episode in EmONC, with 70% of the expenses being for treatment.
– Despite the caesarean fee exemption, 91% of the women still had to pay for their treatment.
– The largest treatment-related direct expenses were for prescriptions, transfusion, antibiotics, and antihypertensive medication.
– Near-misses, women who presented with hemorrhage or infection, and women living in rural areas spent significantly more than others.
Study Recommendations:
– The study highlights the need to address the barriers to EmONC access for women of the lowest socio-economic group, despite the fee exemption policy.
– Recommendations include addressing the direct expenses for drug prescriptions and treatment, as well as the indirect expenses for transport and food.
Key Role Players:
– Health workers in EmONC facilities
– Community health centers (CSCom)
– District health centers
– Regional hospitals
– Head of households and household members
Cost Items for Planning Recommendations:
– Drug prescriptions
– Treatment expenses
– Transportation expenses
– Other expenses related to caesarean intervention
Please note that the above information is a summary of the study and its findings. For more detailed information, please refer to the publication “Maternal and Child Health Journal, Volume 19, No. 8, Year 2015”.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study population is clearly described, and the data collection methods are explained. The study findings are supported by statistical analyses. However, the abstract lacks information on the sample size calculation and the representativeness of the study population. To improve the evidence, the authors could provide more details on the sampling strategy and the generalizability of the findings. Additionally, including information on the statistical significance of the associations found would further strengthen the evidence.

The fee exemption policy for EmONC in Mali aims to lower the financial barrier to care. The objective of the study was to evaluate the direct and indirect expenses associated with caesarean interventions performed in EmONC and the factors associated with these expenses. Data sampling followed the case control approach used in the large project (deceased and near-miss women). Our sample consisted of a total of 190 women who underwent caesarean interventions. Data were collected from the health workers and with a social approach by administering questionnaires to the persons who accompanied the woman. Household socioeconomic status was assessed using a wealth index constructed with a principal component analysis. The factors significantly associated with expenses were determined using multivariate linear regression analyses. Women in the Kayes region spent on average 77,017 FCFA (163 USD) for a caesarean episode in EmONC, of which 70 % was for treatment. Despite the caesarean fee exemption, 91 % of the women still paid for their treatment. The largest treatment-related direct expenses were for prescriptions, transfusion, antibiotics, and antihypertensive medication. Near-misses, women who presented a hemorrhage or an infection, and/or women living in rural areas spent significantly more than the others. Although abolishing fees of EmONC in Mali plays an important role in reducing maternal death by increasing access to caesarean sections, this paper shows that the fee policy did not benefit to all women. There are still barriers to EmONC access for women of the lowest socio-economic group. These included direct expenses for drugs prescription, treatment and indirect expenses for transport and food.

The study population in the larger project consisted of 484 women, who were both maternal deaths and near-misses and experienced a caesarean section in the latter case–control study. A near-miss was defined as a pregnant women who survived to severe medical complications such as prenatal or postpartum hemorrhage, severe pre-eclampsia, eclampsia, miscarriage, or uterine rupture of the uterus or obstructed. Cases were restricted to the following four obstetric complications—hemorrhage, eclampsia, postpartum infection and uterine rupture—as their first signs were easily recognized by the community and health professionals when following the national clinical guideline. When a woman had experienced two or more complications, the most serious or the lethal one was selected. Since the criterion of inclusion in the present study included only women who delivered by caesarean in EmONC, a total of 190 women were finally selected (95 deceased and 95 near-misses). For consistency purposes, one same sampling design was conducted for near-misses and deceased women. The interviewer traced back the woman’s steps and conducted the investigation starting in the last place the woman was treated (district health center or regional hospital), moving on to the community health center (CSCom) and ending at the woman’s household. Medical records were recorded from the health professionals who treated the woman. A social interview was conducted with the head of the household and/or any household member who was present during the caesarean episode. The questionnaire administered during the interview recorded socio-demographic data, information on the episode, such as transport time, and any data of expenses related to caesarean intervention. Because household incomes were not available, the socio-economic status was estimated using a wealth index based on assets. This estimated wealth index was obtained using principal components analysis (PCA), as commonly performed in some other studies [26–28]. This index has been calculated based on the possession (Yes/No) of eight variables assets as follow: the household’s items (cellular phone, stereo, motorcycle), the quality of the home’s building materials (roof and floor), ownership of the house, cattle for commerce and cattle for consumption. The first two dimensions of the PCA explained 55.26 % of the total variation after varimax rotation (37.14 % for dimension 1 and 18.12 % for dimension 2). Only the dimensions with an eigenvalue greater than 1 were retained for further analyses. For each selected dimension, responses to the items were weighted and averaged to create an overall score and thus an integrative wealth index was calculated. The wealth index was used as a categorical variable for analysis purposes (three categories). Although the women were paired in the larger project (Causes et effets du premier retard sur la létalité des urgencies obstétricales dans la region de Kayes (Mali)), the present analyses based on the caesarean sections used the variable near-misses versus deceased women as a covariate in statistical analyses. One woman was excluded from the analyses as an outlier due to extremely high treatment expenses (356,000 FCFA-754 USD) (1 USD = 472 FCFA, 2008–2011 average). Four categories of expenses were considered in the statistical analyses, as follow: total amount of expenses, expenses for treatment, transportation and other expenses. For a total of six women for who only the total amount of expenses was available, a mean imputation procedure was computed to replace missing values in the other categories of expenses such as treatment, transportation and others. Descriptive analyses were used to display the profile of factors Figs. 1, ​,22 and Tables 1, ​,3,3, ​,4.4. For the Figs. 3 and ​and4,4, marginal predicted values, that are the expected value of a typical observation from some level of a categorical factor when all the other factors have been set to neutral values, were used. Mann–Whitney U test was used to compare the four categories of expenses between women according to their residence or the diagnosis. Following a forward stepwise procedure, a series of multivariate linear regression analyses were completed to identify which factors were significantly associated with each category of expense. Outcomes of the caesarean episode (near-misses versus deceased women), diagnosis, permanent residence of the parturient, and wealth index were considered as potential factors and In all regression analyses, the absence of collinearity among variables was assessed with the tolerance and variance inflation factor (VIF) measures. Homoscedasticity of residuals was also verified. Finally, any influential data was tested with Cook’s distance. Mean proportion of expenses by residence (n = 190, FCFA*) Mean proportion of expenses by diagnosis (n = 190, FCFA*) Characteristics of the two-dimension of the principal component analysis (factorial loading of selected items, eigenvalues, % of variance explained and Cronbach’s alpha values on each dimension are provided), varimax rotation Marginal predicted values of expenses by residence with 95 % confidence interval (n = 190, FCFA*) Marginal predicted values of treatment expenses with 95 % confidence interval (n = 190, FCFA*) Factors associated with the expenses of women who had caesareans in Kayes region aStandardized beta, b Student’s t test, * p < 0.05, ** p  < 0.01 Treatment expenses for women by type of treatment in FCFA*, for women with positive expenses (n = 174) * 1 FCFA = 0,00212 USD The limit of significance for statistical tests was set at ≤0.05. Analyses were performed using SPSS version 20 (SPSS Inc., Chicago, IL) and JMP software package version 5.1 (SAS institute INC, Cary, NC, USA). This study was approved by the research ethics committee of the University of Montreal Hospital Research Centre (CRCHUM, Canada) and by the ethics committee of the Faculty of Medicine, Pharmacy and Dentistry of the University of Bamako (Mali).

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Based on the information provided, it seems that the study is focused on evaluating the direct and indirect expenses associated with caesarean interventions in the Kayes region of Mali. The study found that despite the caesarean fee exemption policy, women still had to pay for their treatment, and there were barriers to accessing emergency obstetric and neonatal care (EmONC) for women in the lowest socio-economic group.

To improve access to maternal health in this context, here are some potential innovations that could be considered:

1. Financial support programs: Implementing targeted financial support programs that provide assistance to women from low socio-economic backgrounds to cover the costs associated with caesarean interventions. This could include subsidies or vouchers that cover the expenses for treatment, prescriptions, transportation, and other related costs.

2. Strengthening health infrastructure: Investing in improving the availability and quality of EmONC facilities in the Kayes region. This could involve upgrading existing health centers, ensuring they have the necessary equipment, supplies, and skilled healthcare professionals to provide safe and timely caesarean interventions.

3. Community-based interventions: Implementing community-based interventions to raise awareness about the importance of maternal health and the availability of EmONC services. This could involve training community health workers to provide education and support to pregnant women and their families, promoting early antenatal care visits, and facilitating referrals to EmONC facilities.

4. Telemedicine and mobile health technologies: Exploring the use of telemedicine and mobile health technologies to improve access to maternal health services in remote areas. This could involve establishing teleconsultation services, where healthcare providers can remotely assess and provide guidance to women in need of caesarean interventions, reducing the need for long-distance travel.

5. Collaborations and partnerships: Strengthening collaborations and partnerships between government agencies, non-governmental organizations, and international stakeholders to mobilize resources and expertise to address the barriers to accessing EmONC services. This could involve joint initiatives to improve transportation infrastructure, increase the availability of essential medications, and enhance the capacity of healthcare providers.

It is important to note that these recommendations are based on the limited information provided and may need to be further tailored and adapted to the specific context and needs of the Kayes region in Mali.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health in the Kayes region of Mali is to address the barriers that prevent women from benefiting from the caesarean fee exemption policy. Specifically, the following actions can be taken:

1. Increase awareness: Many women in the lowest socio-economic group are still paying for their caesarean treatment despite the fee exemption. This suggests a lack of awareness about the policy. Implementing targeted awareness campaigns can help ensure that all eligible women are aware of their entitlement to free caesarean sections.

2. Reduce indirect expenses: In addition to treatment costs, women also incur indirect expenses such as transportation and food. These expenses can be a significant barrier for women living in rural areas. Interventions such as providing transportation subsidies or establishing mobile clinics in remote areas can help reduce these indirect expenses and improve access to maternal health services.

3. Improve availability of essential medications: The study identified prescriptions, transfusion, antibiotics, and antihypertensive medication as the largest treatment-related direct expenses. Ensuring the availability of these essential medications in EmONC facilities can help reduce the financial burden on women seeking caesarean interventions.

4. Target high-risk groups: Near-misses, women with hemorrhage or infection, and women living in rural areas were found to spend significantly more on caesarean interventions. Targeting these high-risk groups with additional support, such as financial assistance or specialized care, can help ensure that they have equal access to maternal health services.

By implementing these recommendations, it is possible to improve access to maternal health and reduce the financial burden on women seeking caesarean interventions in the Kayes region of Mali.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthening the fee exemption policy: The study highlights that despite the caesarean fee exemption, 91% of women still paid for their treatment. It is important to address the barriers that prevent women from benefiting from the fee exemption policy. This could involve improving the implementation and communication of the policy, ensuring that healthcare providers are aware of the policy and do not charge women for services covered by the exemption.

2. Addressing direct expenses: The study found that the largest treatment-related direct expenses were for prescriptions, transfusion, antibiotics, and antihypertensive medication. To improve access to maternal health, efforts should be made to reduce the cost of these essential medications and treatments. This could involve negotiating lower prices with pharmaceutical companies, exploring generic alternatives, or providing subsidies for these medications.

3. Addressing indirect expenses: The study also identified indirect expenses such as transportation and food as barriers to accessing maternal health services. To address this, transportation services could be provided or subsidized for pregnant women to ensure they can reach healthcare facilities. Additionally, providing meals or food vouchers to women during their hospital stay could help alleviate the financial burden.

Methodology to simulate the impact of these recommendations on improving access to maternal health:

1. Define the target population: Determine the specific population that will be the focus of the simulation, such as pregnant women in the Kayes region of Mali.

2. Collect baseline data: Gather data on the current access to maternal health services, including the number of women seeking caesarean sections, the expenses they incur, and any barriers they face.

3. Develop a simulation model: Create a mathematical or computational model that simulates the impact of the recommendations on access to maternal health. This model should consider factors such as the number of women benefiting from the fee exemption policy, the reduction in direct and indirect expenses, and the potential increase in the utilization of maternal health services.

4. Input data and parameters: Input the baseline data and parameters into the simulation model. This includes information on the current expenses, the proportion of women benefiting from the fee exemption policy, and the potential reduction in expenses based on the recommendations.

5. Run the simulation: Execute the simulation model to simulate the impact of the recommendations on improving access to maternal health. This will provide estimates of the potential changes in the number of women seeking caesarean sections, the expenses they incur, and the overall improvement in access.

6. Analyze the results: Analyze the output of the simulation to understand the potential impact of the recommendations. This could involve comparing the baseline data with the simulated data to identify any significant changes in access to maternal health.

7. Refine and validate the model: Review the simulation model and its results to ensure accuracy and reliability. Validate the model by comparing the simulated results with real-world data, if available.

8. Communicate the findings: Present the findings of the simulation to relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Use the results to advocate for the implementation of the recommendations and to inform decision-making processes.

Note: The above methodology is a general framework and may need to be adapted based on the specific context and available data.

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