Pregnant women’s preference and factors associated with institutional delivery service utilization in Debra Markos Town, North West Ethiopia: A community based follow up study

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Study Justification:
– Majority of deaths from obstetric complications are preventable.
– Presence of a skilled birth attendant in every delivery is critical in reducing maternal mortality and morbidity.
– Proportion of births attended by skilled personnel in Ethiopia is very low, even for women who have access to the services.
Study Highlights:
– Community-based follow-up study conducted in Debra Markos town, North West Ethiopia.
– Sample size of 393 pregnant women.
– 74.3% of pregnant women planned to deliver in a health institution.
– 80.14% of those who planned to deliver in a health institution actually did so.
– Preference for institutional delivery is low in the study area.
– Sociodemographic factors, perception about delivery complications, ANC follow-up, and intentions for institutional delivery are important predictors of institutional delivery.
Study Recommendations:
– Increase awareness and education about the importance of institutional delivery.
– Improve access to health institutions for pregnant women.
– Strengthen ANC services and follow-up.
– Address sociodemographic factors that influence institutional delivery.
Key Role Players:
– Ministry of Health
– Regional Health Bureau
– Local Health Department
– Health facilities in Debra Markos town
– Community health workers
– Non-governmental organizations (NGOs) working in maternal health
Cost Items for Planning Recommendations:
– Awareness and education campaigns
– Infrastructure improvement for health institutions
– Training and capacity building for health workers
– ANC services and follow-up programs
– Community outreach programs
– Monitoring and evaluation activities

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design, a community-based follow-up study, provides valuable information on pregnant women’s preference and factors associated with institutional delivery service utilization. The sample size of 393 pregnant women is relatively large, increasing the generalizability of the findings. The study also includes statistical analysis, presenting the results in the form of tables, figures, and text. However, there are a few areas that could be improved. First, the abstract does not provide information on the specific methods used for data collection and analysis, which could affect the reliability and validity of the findings. Second, the abstract does not mention any limitations of the study, which is important for interpreting the results. To improve the evidence, the authors could provide more details on the methods used, including the questionnaire used for data collection and the statistical tests performed. Additionally, they should include a section on the limitations of the study, such as any potential biases or confounding factors.

Background: Majority of deaths from obstetric complications are preventable. But every pregnant woman face risks which may not always be detected through the risk assessment approach during antenatal care (ANC). Therefore, the presence of a skilled birth attendant in every delivery is the most critical intervention in reducing maternal mortality and morbidity. In Ethiopia the proportion of births attended by skilled personnel, is very low, even for women who have access to the services. Methods: A community-based follow up study was conducted from January 17, 2012 to July 30, 2012, among 2 and 3 trimester’s pregnant women in Debre-Markos town, east Gojam Zone, Amhara Region, North West Ethiopia. Simple random sampling technique was used to get a total sample size of 422 participants. Results: A total of 393 pregnant women were included in the study. The study revealed that 292(74.3%) of the pregnant women planned to deliver in a health institution. Of these 292 pregnant women 234 (80.14%) actually delivered in a health facility. Conclusions: Preference for institutional delivery is low in the study area. Sociodemographic factors, perception about delivery complication, ANC follow up and their intentions for institutional delivery are among important predictors of institutional delivery.

A community based follow up study was conducted in Debra Markos town from January17, 2012 to July 30, 2012. Debre Markos is the capital city of East Gojam zone located about 300 km from Addis Ababa, the capital city of Ethiopia. The town is divided into 7 kebeles (the smallest administrative unit) with a population estimated to be 62,469 (Census 2007). The town has one referral hospital, three health centers, three private clinics and one family guidance association clinic (FGA). All these institutions except the private clinics and FGA provide delivery service. The study population was comprised of all pregnant women in Debre Markos, who were in their second and third trimester of pregnancy at the time of survey. Subjects were selected using simple random sampling technique from a list which included all second and third trimester pregnant women. The sample size was determined by using a single population proportion formula considering the following assumptions: magnitude of intention for institutional delivery 50%, (p = 0.5), 5% level of significance (α = 0.05). The final sample size was adjusted for none response rate of 10% and it was 422. All eligible pregnant women were initially asked about their preference regarding their place of delivery (home or health institution). These mothers were visited again after six months to check on their actual place of delivery. Data was collected through face to face interview using a structured and pre-tested questionnaire while conducting house to house survey. The data collection process had two phases. Phase I- Interview of pregnant women to assess their socio-demographic profile, preference about place of delivery and some factors associated with their choice of place for delivery. Phase II. Interview of mothers after they deliver: The pregnant women who had been interviewed in phase I were interviewed again to determine their actual place of delivery and associated factors for their choice. Data was collected by 7 accelerated midwifery students from January 17, 2012 to July 30, 2012. Two midwives from Debra Markos Hospital supervised the data collection process. Data was organized using EPI Info 2002 and exported to SPSS version 16.0 software package for analysis. Variables found significant (p–value ≤ 0.05) on bivariate analysis was included in multiple logistic regression analysis to determine the effect of various factors on the outcome variable and to control confounding effect. The results were presented in the form of tables, figures and text using frequency and summary statistics such as mean, standard deviation and percentage. These describes the study population in relation to the independent variables, like: age, education, income, age at first pregnancy, parity, any obstetric complication. Variables were categorized in the context of the constructs of the health belief model and other literature. The degree of association between the independent and dependent variables was analyzed using odds ratio with 95% confidence interval. Ethical clearance was obtained from Institutional Review Board (IRB) of University of Gondar. A letter of cooperation was written for East Gojam Health Department and Debre Markos Wereda Health Office. Finally written consent was obtained from each study pregnant woman.

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

1. Mobile health clinics: Implementing mobile health clinics that travel to different communities, including rural areas, to provide prenatal care and delivery services. This would increase access to skilled birth attendants and reduce the need for pregnant women to travel long distances to reach healthcare facilities.

2. Community-based education programs: Developing community-based education programs to raise awareness about the importance of institutional delivery and the risks associated with home births. These programs could include workshops, seminars, and information sessions to educate pregnant women and their families about the benefits of delivering in a health institution.

3. Transportation support: Providing transportation support for pregnant women who live in remote areas and have limited access to healthcare facilities. This could involve establishing a system where pregnant women can request transportation assistance to reach the nearest health institution for delivery.

4. Strengthening referral systems: Improving the referral systems between health centers and hospitals to ensure that pregnant women who require specialized care during delivery can be transferred to higher-level facilities in a timely manner. This would help ensure that all pregnant women have access to the appropriate level of care based on their needs.

5. Financial incentives: Introducing financial incentives, such as cash transfers or vouchers, to encourage pregnant women to deliver in health institutions. This could help offset the costs associated with institutional delivery, making it more affordable for women from low-income backgrounds.

6. Quality improvement initiatives: Implementing quality improvement initiatives in healthcare facilities to enhance the overall experience of pregnant women during delivery. This could involve training healthcare providers on respectful maternity care, improving the availability of essential supplies and equipment, and ensuring a clean and safe environment for delivery.

These are just a few potential innovations that could be considered to improve access to maternal health based on the study findings and the context of Debra Markos town in Ethiopia. It is important to assess the feasibility and effectiveness of these innovations in the local context before implementing them.
AI Innovations Description
Based on the information provided, the recommendation to improve access to maternal health in Debra Markos Town, North West Ethiopia is to focus on addressing the low preference for institutional delivery. This can be achieved through the following steps:

1. Increase awareness: Implement community-based awareness campaigns to educate pregnant women and their families about the importance of delivering in a health institution. This can include disseminating information through various channels such as community meetings, radio programs, and posters.

2. Improve perception of delivery complications: Address misconceptions and fears surrounding delivery complications by providing accurate information and counseling services during antenatal care visits. This can help pregnant women understand the potential risks associated with home deliveries and the benefits of skilled birth attendance.

3. Strengthen antenatal care follow-up: Enhance the quality and accessibility of antenatal care services to ensure regular follow-up and monitoring of pregnant women. This can be achieved by training healthcare providers on comprehensive antenatal care practices and ensuring the availability of necessary equipment and supplies.

4. Enhance institutional delivery services: Improve the quality and availability of delivery services in health institutions by training healthcare providers on safe delivery practices, ensuring the presence of skilled birth attendants, and addressing infrastructure and equipment gaps. This can help build trust and confidence among pregnant women in the healthcare system.

5. Address sociodemographic factors: Consider the sociodemographic factors identified in the study, such as age, education, and income, when designing interventions. Tailor strategies to specifically target vulnerable populations and address their unique needs and barriers to accessing institutional delivery services.

6. Monitor and evaluate: Establish a system for monitoring and evaluating the implementation and impact of the recommended interventions. Regularly assess the progress made in increasing institutional delivery rates and identify areas for improvement.

By implementing these recommendations, it is expected that the preference for institutional delivery will increase, leading to improved access to maternal health services and a reduction in maternal mortality and morbidity in Debra Markos Town, North West Ethiopia.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Strengthening Health Infrastructure: Invest in improving and expanding healthcare facilities, particularly in rural areas, to ensure that pregnant women have access to skilled birth attendants and necessary medical equipment.

2. Community-Based Education Programs: Implement community-based education programs to raise awareness about the importance of institutional delivery and the risks associated with home births. These programs can also provide information on available maternal health services and how to access them.

3. Mobile Health (mHealth) Solutions: Utilize mobile technology to provide pregnant women with information, reminders, and support throughout their pregnancy and during the postpartum period. This can include text messages or mobile apps that provide guidance on prenatal care, nutrition, and reminders for antenatal and postnatal appointments.

4. Transportation Support: Address transportation barriers by providing transportation vouchers or subsidies for pregnant women to travel to healthcare facilities for antenatal care and delivery. This can help overcome geographical barriers and ensure timely access to maternal health services.

5. Community Health Workers: Train and deploy community health workers who can provide basic antenatal care, education, and referrals for pregnant women in remote areas. These workers can also conduct home visits to monitor the health of pregnant women and provide support during labor and delivery.

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 state of maternal health access in the target area, including the proportion of institutional deliveries, reasons for home births, and barriers to accessing maternal health services.

2. Intervention Design: Develop a detailed plan for implementing the recommended interventions, including timelines, target populations, and expected outcomes.

3. Simulation Modeling: Use simulation modeling techniques to estimate the potential impact of the interventions on improving access to maternal health. This can involve creating a mathematical model that incorporates data on population demographics, healthcare infrastructure, and the proposed interventions. The model can then simulate different scenarios to estimate the potential increase in institutional deliveries and reduction in maternal mortality and morbidity.

4. Sensitivity Analysis: Conduct sensitivity analysis to assess the robustness of the simulation model and evaluate the potential impact of uncertainties or variations in key parameters.

5. Evaluation and Monitoring: Implement the interventions and continuously monitor and evaluate their effectiveness. Collect data on key indicators such as the proportion of institutional deliveries, maternal mortality rates, and satisfaction levels among pregnant women. Compare the observed outcomes with the simulated results to assess the accuracy of the model and make any necessary adjustments.

By following these steps, policymakers and healthcare providers can gain insights into the potential impact of different interventions and make informed decisions to improve access to maternal health.

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