Magnitude and factors associated with institutional delivery service utilization among childbearing mothers in Cheha district, Gurage zone, SNNPR, Ethiopia: A community based cross sectional study

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Study Justification:
– Ethiopia has a high maternal mortality rate, with more than half of all births taking place at home.
– The aim of the study was to measure the prevalence and identify factors associated with institutional delivery service utilization in Cheha District, Ethiopia.
Study Highlights:
– 31% of women in Cheha District gave birth at a health facility.
– Factors such as place of residence, affordability, travel time, husband’s attitude, counseling during ANC visits, and previous place of birth were associated with institutional delivery.
Study Recommendations:
– Improve access to health services by reducing travel time to health facilities.
– Provide health education and behavior change communication (BCC) services to husbands and the community to promote the importance of using health institutions for delivery.
– Work to improve women’s economic status to increase their ability to afford delivery services.
– Counsel women during ANC visits about the benefits of delivering at a health institution.
– Explore the overall quality of ANC services to ensure they are meeting the needs of pregnant women.
Key Role Players:
– District Health Office
– Health extension workers
– Female nurses
– Male supervisors
– Ethical review committee
– Gurage Zone Health Department
Cost Items for Planning Recommendations:
– Transportation costs for improving access to health facilities
– Costs for health education and BCC services
– Costs for training health extension workers, nurses, and supervisors
– Costs for improving economic opportunities for women
– Costs for monitoring and evaluating the quality of ANC services

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 is a community-based cross-sectional survey, which provides valuable information. The sample size calculation and sampling method are appropriate. The statistical analysis using logistic regression is also appropriate. However, the abstract does not provide information on the response rate or any potential biases in the sample. Additionally, the abstract does not mention any limitations of the study. To improve the evidence, it would be helpful to include information on the response rate and potential biases, as well as any limitations of the study. This would provide a more comprehensive understanding of the study’s findings and increase the strength of the evidence.

Background: Ethiopia is one of the six countries that contributes’ to more than 50 % of worldwide maternal deaths. While it is revealed that delivery attended by skilled provider at health facility reduced maternal deaths, more than half of all births in Ethiopia takes place at home. According to EDHS 2011 report nine women in every ten deliver at home in Ethiopia. The situation is much worse in southern region. The aim of our study is to measure the prevalence and to identify factors associated with institutional delivery service utilization among childbearing mothers in Cheha District, SNNPR, Ethiopia. Methods: A community based cross sectional survey was conducted in Cheha District from Dec 22, 2012 to Jan 11, 2013. Multistage sampling method was employed and 816 women who gave birth within the past 2years and lived in Cheha district for minimum of one year prior to the survey were involved in the study. Data was entered and analyzed using Epi Info Version 7 and SPSS Version 16. Frequencies and binary logistic regression were done. Factors affecting institutional delivery were determined using multivariate logistic regression. Results: A total of 31 % of women gave birth to their last child at health facility. Place of residence, ability to afford for the whole process to get delivery service at health facility, traveling time that takes to reach to health institution which provides delivery service, husband’s attitude towards institutional delivery, counseling about where to deliver during ANC visit and place of birth of the 2nd youngest child were found to have statistically significant association with institutional delivery. Conclusion: Institutional delivery is low in the study area. Access to health service was found to be the most important predictor of institutional delivery among others. Accessing health facility within reasonable travel time; providing health education and BCC services to husbands and the community at large on importance of using health institution for delivery service; working to improve women’s economic status; counseling women to give birth at health institution during their ANC visit and exploring the overall quality of ANC service are some of the areas where much work is needed to improve institutional delivery.

Cheha District is located in Gurage Zone, Southern Nations Nationalities and Peoples Region (SNNPR)-Ethiopia. Emdebir town the capital city of Cheha District is located 182 Km south west to Addis Ababa. The district has 2 small towns, of which one is the capital city, and 39 rural “kebeles” (smallest administrative units). It has a population of 138,054 out of which 67,094 of them are male and 70, 960 are female. Out of the total population childbearing mothers comprises 23.3 % (32,167). Most people are economically dependent on Agriculture. There is 1 hospital (owned by Faith Based Organization), 6 health centers, 7 clinics and 38 health posts in the district. Initial assessment of health institutions was done in collaboration with the District Health Office; then those institutions that can actually provide safe delivery service, out of the aforementioned health institutions, were identified. Community based cross sectional survey was conducted in Cheha District from December 22, 2012 to January 11, 2013. The source populations were all women of childbearing age (15–49 years) in Cheha District who had experience of at least one birth. The actual study populations were a randomly selected women who had given birth in the past 2 years in Cheha District prior to the survey and who lived at least 1 year in the district prior to the survey. Women who were mentally or physically ill and not capable to be interviewed were excluded from the study. The sample size was calculated using Epi Info version 7. A sample size of 845 was calculated using formula for single population proportion, taking the largest p value, prevalence (P) of delivery attended by skilled personnel which is 10 % for the country, assuming a design effect of 2, a margin of error of 3 % at 95 % confidence interval, and a non-response rate of 10 %. Multistage sampling method with stratification of the district into rural and urban areas was used. From the district’s 39 rural kebeles, 8 rural kebeles were selected randomly and from the two urban areas having 3 kebeles, 2 kebeles’ were randomly selected and included in the study. In the selected kebeles, households having the target were identified by house to house visit (i.e. by census) using 30 health extension workers (high school graduates who undergo one year training program to deliver mainly packages of preventive and health promotion services and few basic curative services). In the census women who gave birth within the past 2 years in Cheha district, and lived a minimum of 1 year in the district, prior to the survey were identified and this was used to randomly select the study subjects. Then sample size was allocated to each urban and rural area proportional to size of the target households, and simple random sampling was applied to get the required households from households having the target. Whenever two or more eligible women were found in the same household only one of them was selected randomly and included in the study. Interviewer administered pre-tested structured questionnaire which was used in previous studies and adapted according to the facts obtained from literature review was employed to collect data. The questionnaire was translated to local languages (Amharic and Guragigna) to facilitate the interview. The data was collected by female nurses who can read and fluently speak both Amharic and Guragigna languages after providing them with a three days of training on objective of the study, techniques of survey interviewing using the questionnaire and on the overall data collection procedures by the principal investigator. Care was taken not to assign the nurse in the catchment kebele of the health institution where they work. In addition, six male supervisors (BSc nurses and BSc in Public Health) were trained on supervision techniques in addition to training on data collection procedures. The training was complemented by practical session. Moreover, Pre – testing of the questionnaire had been conducted in one rural kebele of Eza district which is neighbor to Cheha district, before the actual data collection date, and accordingly correction, such us adjustment of skip points, improvement in translation to local lanquage and other improvements had been made on the final version of the questionnaire. The data was collected in mothers own home at their convenient time. A strong supervision of the data collection process had been carried out by principal investigator and all supervisors. Information were pre coded, the data was checked for errors, and missing values had been dealt with. Categorization was made for those data that were not pre-categorized. Coded data was entered using Epi Info version 7 and was exported to SPSS for Windows version 16 for analysis. Data cleaning, recoding and verification were done accordingly. Frequency and measure of variations were used to describe the study population. Bivariate analysis using logistic regression technique was done to see the association of each independent variables with the outcome variable and crude odds ratio with 95 % CI were computed. Those variables which had a significant association (with p value of less than 0.05) with the outcome variable including the well known confounders were included in multivariate logistic regression model. In doing multivariate logistic regression each independent variables having p value of less than 0.05 in bivariate analysis and the well known confounders were grouped (Group of independent variables include: Socio-demographic variables including access related factors, health care behaviours and cultural factors; obstetric variables including characteristics of ANC service; knowledge and attitude of respondents) and each of these group of independent variables were entered in different blocks in SPSS covariate box and we ran SPSS to see whether or not all those variables which had statistically significant association with the outcome variable in bivariate analysis, maintained their association in the multivariate logistic regression. Adjusted odds ratio with 95 % confidence interval (statistical significance was declared at P < 0.05) was used to show the significance of the association. The results were presented using absolute numbers, proportions, medians, mean, standard deviation, odds ratio and confidence intervals. Tables, figures and graphs were produced. The study was conducted after getting approval of the proposal from ethical review committee of Hawassa University. Written consent was obtained from Gurage Zone Health Department. Involvement into the study was on the basis of an informed consent that was obtained from each respondent, and for those age less than 18 the consent was obtained from the guardian or parents accordingly. Confidentiality was assured by avoiding personal identifier of the data and the data was kept in a secure place by the principal investigator.

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Based on the provided information, here are some potential innovations that could improve access to maternal health in Cheha District, SNNPR, Ethiopia:

1. Mobile Health Clinics: Implementing mobile health clinics that can travel to remote areas of the district, providing essential maternal health services and education to women who may not have easy access to healthcare facilities.

2. Telemedicine: Introducing telemedicine services that allow pregnant women to consult with healthcare professionals remotely, reducing the need for travel and increasing access to medical advice and support.

3. Community Health Workers: Training and deploying community health workers who can provide basic maternal health services, education, and support to women in their own communities.

4. Financial Assistance Programs: Establishing financial assistance programs to help women afford the costs associated with accessing maternal health services, such as transportation, hospital fees, and medications.

5. Health Education Campaigns: Conducting targeted health education campaigns to raise awareness about the importance of institutional delivery and the availability of maternal health services in the district.

6. Improving Infrastructure: Investing in the improvement of healthcare infrastructure, including the construction and renovation of health centers and clinics, to ensure that there are enough facilities available to meet the needs of the population.

7. Strengthening ANC Services: Enhancing the quality and accessibility of antenatal care (ANC) services, including providing comprehensive counseling on the benefits of institutional delivery and addressing any concerns or misconceptions women may have.

8. Partnerships with NGOs and International Organizations: Collaborating with non-governmental organizations (NGOs) and international organizations that specialize in maternal health to leverage their expertise, resources, and support in improving access to maternal health services in the district.

These innovations, if implemented effectively, have the potential to improve access to maternal health services and reduce maternal mortality rates in Cheha District, SNNPR, Ethiopia.
AI Innovations Description
Based on the description provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Improve access to health facilities: Focus on increasing the number of health facilities in Cheha District, particularly in rural areas. This can be done by building new health centers or upgrading existing health posts to provide comprehensive maternal health services.

2. Reduce travel time: Address the issue of long travel time to reach health institutions by establishing mobile clinics or outreach programs that bring maternal health services closer to remote communities. This can help overcome geographical barriers and ensure that pregnant women have timely access to care.

3. Increase awareness and education: Implement health education and behavior change communication (BCC) programs targeting husbands and the community at large. This can help address cultural beliefs and misconceptions surrounding institutional delivery, and emphasize the importance of using health facilities for safe deliveries.

4. Improve economic status: Work towards improving women’s economic status by providing income-generating opportunities and financial support for transportation costs. This can help alleviate financial barriers that prevent women from seeking institutional delivery services.

5. Strengthen antenatal care (ANC) services: Enhance the quality of ANC services by providing comprehensive counseling on the benefits of institutional delivery. This can be done by training healthcare providers on effective communication and counseling techniques, and ensuring that ANC visits include discussions on the importance of delivering in a health facility.

By implementing these recommendations, it is expected that access to maternal health services, particularly institutional delivery, will improve in Cheha District, leading to a reduction in maternal mortality and morbidity rates.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health in Cheha District, SNNPR, Ethiopia:

1. Strengthening Health Facilities: Improve the infrastructure, equipment, and staffing of health facilities in the district to ensure they can provide safe and quality maternal health services.

2. Increasing Awareness and Education: Conduct health education campaigns to raise awareness about the importance of institutional delivery and the risks associated with home births. This can be done through community outreach programs, radio broadcasts, and educational materials.

3. Improving Transportation: Address the issue of traveling time and distance to health institutions by improving transportation infrastructure and providing transportation services for pregnant women in remote areas.

4. Engaging Husbands and Families: Conduct community engagement activities to involve husbands and families in the decision-making process regarding institutional delivery. This can include counseling sessions, workshops, and support groups.

5. Enhancing Antenatal Care Services: Strengthen the quality and accessibility of antenatal care services by training healthcare providers, improving the availability of essential supplies and equipment, and ensuring that women receive counseling on the benefits of institutional delivery during ANC visits.

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

1. Baseline Data Collection: Collect data on the current utilization of institutional delivery services, including factors influencing access, such as distance to health facilities, affordability, and knowledge levels.

2. Define Indicators: Identify specific indicators to measure the impact of the recommendations, such as the percentage increase in institutional delivery rates, reduction in home births, and improvement in transportation infrastructure.

3. Develop a Simulation Model: Create a simulation model that incorporates the baseline data and the potential impact of each recommendation. This model should consider factors such as population size, geographical distribution, and existing healthcare infrastructure.

4. Input Data and Scenarios: Input the baseline data into the simulation model and define different scenarios based on the implementation of the recommendations. For example, simulate the impact of improving transportation infrastructure alone, or in combination with other recommendations.

5. Run Simulations: Run the simulations to estimate the potential impact of each scenario on improving access to maternal health. This can be done by analyzing the changes in the defined indicators.

6. Analyze Results: Analyze the simulation results to determine the effectiveness of each recommendation and identify the most impactful combination of interventions. This analysis can help prioritize resources and guide decision-making for implementing the recommendations.

7. Monitoring and Evaluation: Continuously monitor and evaluate the progress of the implemented recommendations to assess their actual impact on improving access to maternal health. Adjustments can be made based on the findings to optimize the outcomes.

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

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