Where and why do we lose women from the continuum of care in maternal health? A mixed-methods study in Southern Benin

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Study Justification:
The study aimed to investigate the gaps in the continuum of care (CoC) in maternal health in Southern Benin. The CoC is based on integrating effective interventions across pregnancy, childbirth, and the postnatal period to improve perinatal health outcomes. Understanding these gaps is crucial for improving maternal healthcare in the region.
Study Highlights:
1. The Benin Demographic and Health Survey (BDHS) analysis revealed that although 89% of women reported at least one antenatal care (ANC) visit, only half initiated ANC in the first trimester and completed 4 or more visits.
2. Only 85% of women reported facility-based childbirth, and 69% had a postnatal check within 48 hours after childbirth.
3. The qualitative study confirmed that early initiation of ANC and the transition from facility-based childbirth to postnatal care are important gaps in the CoC. It also highlighted late arrival at health facilities for childbirth as an additional gap.
4. Spiritual and alternative care practices, aimed at safeguarding pregnancy and preventing complications, interacted with these gaps.
5. Structural factors related to poverty and disrespectful care in health facilities further limited the utilization of formal healthcare.
Recommendations:
1. Integrate spiritual or alternative aspects of care into biomedical services to address the gaps in the CoC.
2. Address structural factors such as poverty and disrespectful care in health facilities to improve access to healthcare.
3. Promote early initiation of ANC and ensure women complete the recommended number of visits.
4. Improve the transition from facility-based childbirth to postnatal care.
5. Enhance awareness and education about the importance of timely and appropriate maternal healthcare.
Key Role Players:
1. Health authorities: They play a crucial role in supporting and implementing the recommended interventions.
2. Healthcare providers: They need to be trained and equipped to provide integrated care and ensure respectful treatment.
3. Community leaders and traditional birth attendants: Their involvement is important in promoting awareness and acceptance of formal maternal healthcare.
4. Non-governmental organizations (NGOs): They can provide support and resources for implementing the recommendations.
Cost Items for Planning:
1. Training and capacity building for healthcare providers.
2. Infrastructure improvement in health facilities.
3. Awareness campaigns and educational materials.
4. Community engagement and mobilization activities.
5. Monitoring and evaluation systems to track progress and outcomes.
Please note that the provided cost items are general categories and not actual cost estimates. The actual budget would depend on the specific context and resources available in Southern Benin.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a mixed-methods study that includes both qualitative and quantitative data. The quantitative analysis of Benin Demographic and Health Survey (BDHS) data provides statistical information on the use of services along the continuum of care (CoC) in maternal health. The qualitative study complements the quantitative findings by exploring gaps and variations in the use of health services and identifying additional factors that impede access to healthcare. The integration of both types of data strengthens the evidence. However, to improve the rating, the abstract could provide more specific details about the sample size, data collection methods, and analysis techniques used in both the qualitative and quantitative strands of the study.

Objective: Continuum of care (CoC) in maternal health is built on evidence suggesting that the integration of effective interventions across pregnancy, childbirth, and the postnatal period leads to better perinatal health outcomes. We explored gaps along the CoC in maternal health in Benin. Methods: A mixed-methods study triangulating results from a qualitative study in southern Benin with a quantitative analysis of Benin Demographic and Health Survey (BDHS) data on the use of services along the CoC was conducted. Results: Benin Demographic and Health Survey analysis showed that although 89% of women reported at least one antenatal care (ANC) visit, only half initiated ANC in the first trimester and completed 4 or more visits. 85% reported facility-based childbirth and 69% a postnatal check within 48 h after childbirth. Our qualitative study confirms early initiation of ANC and the transition from facility-based childbirth to postnatal care are important gaps along the CoC and reveals late arrival at health facility for childbirth as an additional gap. These gaps interact with spiritual and alternative care practices that aim to safeguard pregnancy and prevent complications. Structural factors related to poverty and disrespectful care in health facilities compounded to limit the utilisation of formal healthcare. Conclusions: The combined use of BDHS and qualitative data contributed to highlighting critical gaps along the maternal CoC. A lack of integration of spiritual or alternative aspects of care into biomedical services, as well as structural factors, impeded access to healthcare in Benin.

This mixed‐methods study employed a triangulation design, in standard notation QUAL + quan. Primary data collection in the qualitative strand and the analysis of secondary data in the quantitative strand occurred separately. The results from the qualitative study prompted a targeted exploration of certain variables (i.e. identified gaps and variations in the use of health services) in the BDHS. Findings from each strand were integrated during interpretation. Data were collected between 2018 and 2019 in selected villages in the Atlantique region in the South of Benin. Study sites were selected in light of observed variations in the use of services along the CoC of maternal health [20]. Moreover, the ancient kingdom of Allada is still considered a reference point for pre‐colonial cultures and practices related to birth, life, sexuality, reproduction, and death in southern Benin. The research team was composed of three anthropologists and three public health physicians. Three of the researchers were able to speak the Fon language with participants. Prior to the start of data collection, political and health authorities in the three communes of the Allada‐Toffo‐Zè health zone were contacted to negotiate their support and assistance throughout the study, a crucial step. Potential participants were approached at the community level and in healthcare facilities for social interaction. Access to participants was achieved primarily through snowball sampling. Fieldwork continued until theoretical saturation was reached. The following ethnographic techniques were used: The target population for this study was healthcare users and non‐users and providers in the public, private, traditional and home care sectors, targeting pre‐pregnancy, pregnancy, childbirth and postnatal care. Participants were selected based on the principles of theoretical sampling, where the researcher simultaneously collects and analyses data based on existing theories to guide the next phase of the research and selection of new participants. Sampling also aimed to progressively select for maximum variation in profiles in terms of localities, gender, age, marital status, socioeconomic status, occupation, religious beliefs, ethnicity and (non‐)use of formal maternal health services (Table ​(Table11). Participant profiles In the initial phase of research, inductive coding of raw data was done. When new hypotheses and theories were formed, question guides were adapted accordingly, and further tested in the field until theoretical saturation was reached. After all data were collected, deductive coding was done on all raw data in Nvivo 12 Qualitative Analysis Software. A final coding framework was constructed based on the results of the analytic process during fieldwork and an analytical workshop in which all researchers involved in the project participated. Coding queries were performed to test relationships between codes or between codes and attributes of respondents. We used the most recent BDHS from 2017 to 2018. The DHS are nationally representative surveys of households. We identified five CoC elements or steps from ANC to PNC (details in File S1) and estimated the percentage of women receiving each of the five steps separately, and then cumulatively. Analysis was conducted in STATA v14. The BDHS 2017–18 received approvals from the National Statistics Council and the National Ethics Committee for Health Research in Benin. As DHS data are secondary data, our analyses did not require any additional ethical approvals. The ethnographic study protocol was approved by the Local Ethics Committee for Biomedical Research of the University of Parakou in Benin (approval number: 0092/CLERB‐UP/P/SP/R/SA), and the Institute of Tropical Medicine Antwerp in Belgium (approval number: IRB/AB/AC/044). All participants were thoroughly informed about the study aims, content, benefits, risks and confidentiality issues including their right to withdraw consent at any time without having to provide a reason for withdrawal or having to fear negative consequences. Written informed consent was sought from interviewees participating in in‐depth interviews, while participants in informal conversation as part of participant observation provided oral consent, documented by the researcher and a witness.

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

1. Integration of spiritual or alternative aspects of care: Recognizing and incorporating spiritual or alternative care practices into biomedical services can help address cultural beliefs and preferences related to pregnancy and childbirth. This could involve training healthcare providers to understand and respect these practices, as well as creating spaces within healthcare facilities for spiritual or alternative care.

2. Addressing structural factors: Poverty and disrespectful care in health facilities were identified as factors that limit the utilization of formal healthcare. Innovations could include implementing poverty reduction programs that provide financial support for maternal health services, as well as improving the quality of care in health facilities through training and accountability measures.

3. Early initiation of antenatal care (ANC): Promoting early initiation of ANC visits can help ensure that women receive timely and comprehensive prenatal care. Innovations could include community-based outreach programs that educate women about the importance of early ANC and provide support for accessing these services.

4. Improving transportation to healthcare facilities: Late arrival at health facilities for childbirth was identified as a gap in the continuum of care. Innovations could include providing transportation services or subsidies for pregnant women to ensure they can reach healthcare facilities in a timely manner.

5. Enhancing community engagement: Engaging communities in maternal health initiatives can help increase awareness, promote positive health-seeking behaviors, and address cultural barriers. Innovations could include community health worker programs, community-based education campaigns, and the establishment of community-led support groups for pregnant women.

These are just a few potential innovations that could be considered to improve access to maternal health based on the findings of the study in Southern Benin. It is important to note that the specific context and needs of the community should be taken into account when implementing any innovation.
AI Innovations Description
Based on the information provided, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Integration of spiritual and alternative aspects of care: Recognize and integrate spiritual and alternative care practices into biomedical services. This can be done by training healthcare providers to understand and respect these practices, and incorporating them into the standard care protocols. This will help address the gaps in access to healthcare caused by the lack of integration of these aspects.

By integrating spiritual and alternative aspects of care, healthcare facilities can create a more inclusive and culturally sensitive environment for pregnant women, which may encourage more women to seek formal healthcare services.

It is important to note that this recommendation should be implemented in conjunction with addressing structural factors such as poverty and disrespectful care in health facilities, which also contribute to limited utilization of formal healthcare.
AI Innovations Methodology
Based on the provided description, here are some potential recommendations to improve access to maternal health:

1. Strengthening Antenatal Care (ANC) Services: Focus on promoting early initiation of ANC visits and ensuring that women complete the recommended number of visits during pregnancy. This can be achieved through community outreach programs, education campaigns, and improving the availability and quality of ANC services.

2. Enhancing Facility-Based Childbirth: Address the barriers that prevent women from accessing health facilities for childbirth. This may involve improving transportation infrastructure, providing financial support for transportation costs, and addressing cultural beliefs and practices that discourage facility-based childbirth.

3. Promoting Postnatal Care (PNC): Increase awareness and utilization of postnatal check-ups within 48 hours after childbirth. This can be done through community education, training healthcare providers to deliver quality PNC services, and ensuring that postnatal care is easily accessible and affordable.

4. Integrating Spiritual and Alternative Care: Recognize and integrate spiritual and alternative aspects of care into biomedical services. This can involve training healthcare providers to be culturally sensitive and respectful of traditional practices, as well as collaborating with traditional birth attendants and healers to provide comprehensive maternal health services.

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

1. Define the indicators: Identify specific indicators that measure access to maternal health, such as the percentage of women initiating ANC in the first trimester, completing the recommended number of ANC visits, delivering in a health facility, and receiving postnatal check-ups.

2. Collect baseline data: Gather data on the current status of these indicators using surveys, interviews, and existing data sources like the Benin Demographic and Health Survey (BDHS).

3. Develop a simulation model: Create a mathematical or statistical model that simulates the impact of the recommendations on the selected indicators. This model should take into account factors such as population demographics, healthcare infrastructure, cultural practices, and socioeconomic conditions.

4. Input intervention scenarios: Input different scenarios into the simulation model to represent the implementation of the recommendations. For example, simulate the impact of increasing ANC coverage, improving facility-based childbirth rates, and promoting postnatal care utilization.

5. Analyze the results: Evaluate the simulated outcomes of each intervention scenario and compare them to the baseline data. Assess the potential improvements in access to maternal health services, such as increased ANC initiation rates, higher facility-based childbirth rates, and improved postnatal care utilization.

6. Validate the model: Validate the simulation model by comparing the simulated results with real-world data or expert opinions. Adjust the model parameters if necessary to ensure accuracy and reliability.

7. Communicate findings: Present the findings of the simulation study, including the potential impact of the recommendations on improving access to maternal health. Use the results to inform policy decisions, program planning, and resource allocation for maternal health interventions.

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

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