Home delivery practice and its predictors in South Ethiopia

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Study Justification:
The study titled “Home delivery practice and its predictors in South Ethiopia” aimed to investigate the prevalence and determinants of home delivery in three districts in Sidama administration, Southern Ethiopia. This study is important because institutional delivery is a key intervention to reduce maternal death and ensure safe birth. Understanding the factors associated with home delivery can help inform strategies to expand access to and utilization of institutional delivery services.
Highlights:
– The study found that 22.8% of women in the study area gave birth at home in the past year.
– Rural residence, lack of maternal education or only elementary school education, unknown expected date of delivery, being employed, and not planning the place of delivery were independently associated with home delivery.
– The prevalence of institutional delivery in the study area has improved compared to previous reports, but there are still significant proportions of home deliveries.
– Strategies should be designed to target uneducated, rural, and employed women to increase access to and utilization of institutional delivery services.
Recommendations:
– Develop targeted interventions to increase awareness and knowledge about the importance of institutional delivery among uneducated women.
– Improve access to healthcare facilities in rural areas to reduce the barriers to institutional delivery.
– Strengthen antenatal care services to ensure that women have accurate information about their expected date of delivery and the importance of planning the place of delivery.
– Implement community-based programs to promote the benefits of institutional delivery and address misconceptions or cultural beliefs that may discourage women from seeking institutional care.
Key Role Players:
– Ministry of Health: Responsible for developing and implementing policies and programs related to maternal and child health.
– Regional Health Bureaus: Responsible for overseeing healthcare delivery in the region and coordinating with district health offices.
– District Health Offices: Responsible for implementing healthcare programs at the district level and ensuring access to healthcare services.
– Health Facilities: Hospitals, health centers, and health posts play a crucial role in providing maternal healthcare services and promoting institutional delivery.
– Community Health Workers: They can play a vital role in raising awareness about the benefits of institutional delivery and providing support to pregnant women in the community.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers on maternal healthcare and delivery services.
– Infrastructure development and improvement of healthcare facilities in rural areas.
– Outreach and community engagement programs to raise awareness and promote institutional delivery.
– Development and dissemination of educational materials on the importance of institutional delivery.
– Monitoring and evaluation activities to assess the impact of interventions and ensure quality of care.
Please note that the cost items provided are general suggestions and may vary based on the specific context and resources available in South Ethiopia.

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 conducted a cross-sectional survey with a large sample size and a high response rate. The statistical analysis used multivariate logistic regression models to identify independent predictors of home delivery. The study also provides specific prevalence rates and adjusted odds ratios. However, the abstract does not mention the representativeness of the sample or the generalizability of the findings. Additionally, the abstract could benefit from including information about the limitations of the study and suggestions for future research.

Background Institutional delivery is one of the key interventions to reduce maternal death. It ensures safe birth, reduces both actual and potential complications, and decreases maternal and newborn death. However, a significant proportion of deliveries in developing countries like Ethiopia are home deliveries and are not attended by skilled birth attendants. We investigated the prevalence and determinants of home delivery in three districts in Sidama administration, Southern Ethiopia. Methods Between 15–29 October 2018, a cross sectional survey of 507 women who gave birth within the past 12 months was conducted using multi-stage sampling. Sociodemographic and childbirth related data were collected using structured, interviewer administered tools. Uni-variate and backward stepwise multivariate logistic regression models were run to assess independent predictors of home delivery. Results The response rate was 97.6% (495). In the past year, 22.8% (113), 95% confidence interval (CI) (19%, 27%) gave birth at home. Rural residence, adjusted odds ratio (aOR) = 13.68 (95%CI:4.29–43.68); no maternal education, aOR = 20.73(95%CI:6.56–65.54) or completed only elementary school, aOR = 7.62(95% CI: 2.58–22.51); unknown expected date of delivery, aOR = 1.81(95% CI: 1.03–3.18); being employed women (those working for wage and self-employed), aOR = 2.79 (95%CI:1.41–5.52) and not planning place of delivery, aOR = 26.27, (95%CI: 2.59–266.89) were independently associated with place of delivery. Conclusion The prevalence of institutional delivery in the study area has improved from the 2016 Ethiopian Demography Health Survey report of 26%. Uneducated, rural and employed women were more likely to deliver at home. Strategies should be designed to expand access to and utilization of institutional delivery services among the risky groups.

This survey was conducted at KMC implementation sites in SNNPR, which included Hawassa City Administration, Dale and Shebedino districts. Hawassa Comprehensive Specialized Hospital, Adare General Hospital, Yirgalem General Hospital, and Leku Primary Hospital served as KMC implementation centers. Hawassa is the capital city of SNNPR/Sidama Administration and it is located 275 km South of Addis Ababa, the capital of Ethiopia. Hawassa City Administration has eight sub-cities divided in 32 kebeles (the lowest administration unit in Ethiopia). The estimated total population size of Hawassa city in 2017 was 455,658 as projected from the 2007 Ethiopian national census [18]. It is estimated that there are over 10,000 deliveries taking place in Hawassa every year. There are 3 public hospitals and 12 health centers in the city. Shebedino district, the second study area is located 30km South of Hawassa city and has 32 Kebeles. Leku town is the capital of the district. There is one primary hospital, 9 health centers and 32 health posts in the district. An estimate of 121 deliveries is attended per month at Leku Primary Hospital. The total population of Dale district in 2017 was 317,246 with 11,104 expected deliveries per year (18). Yirgalem town is the capital of the district and it is located 45kms south of Hawassa City. There is one general hospital, 10 health centers and 36 health posts in the district. A community based cross-sectional survey was conducted during 15th- 20thOctober, 2018. Randomly selected women who gave birth in the last one year and residing at least 6 months in the area were included in the survey. Non-consenting mothers were excluded from the study. The sample size was calculated using Epi info 7 Statistical software for population survey. Considering 72.5% home delivery in SNNPR (EDHS 2016), 95% confidence interval (CI), margin of error of 5%, design effect of 1.5 for a cluster of 10 and 10% non-response rate, a total of 507 women were needed [3]. A multistage sampling technique was used to enroll study participants. There are 32 kebeles in Hawassa city, 35 in Dale and 32 in Shebedino districts. We selected 11 kebeles [4 kebeles from Hawassa City, representing urban households (36%); 4 from Dale and 3 from Shebedino districts, both representing rural households (64%)] using simple random sampling techniques. Households of women who gave birth during the last 12months preceding the study were identified and listed with the help of family folders available at the health posts of the selected 11 kebeles. Finally, the calculated sample size was proportionally allocated to the kebeles based on the identified number of eligible women. Women in each of the selected kebeles were randomly selected by simple random sampling technique using the list as a sampling frame. The questionnaires were first prepared in English and then translated to local languages: “Sidamu Afoo” for rural residents and “Amharic” for urban residents. Six data collectors who completed at least first degree in public health disciplines interviewed the participants. Data analysis was done using SPSS version 25. Descriptive, bivariate, and multivariate analyses were done to assess association between sociodemographic variables and place of delivery. Odds ratios and 95% CIs were computed. A backward stepwise multivariate regression model was run using variables with P-value <0.2 in the bivariate analysis, which included place of residence, age, education and occupation of women, paternal education, distance of health center from home, family size, number of ANC follow up, knowing the due date, planned place of birth and birth order. Model fitness was checked using Hosmer and Lemeshow test of goodness of fit which yielded a p-value = 0;889. Level of significance for independent associations was set at p<0.05. This study was approved by Institutional Review Board (IRB) of Hawassa University. Considering non-invasive nature of data collection procedures, which is a case in most surveys conducted in Ethiopia, a verbal consent, which was approved by the IRB, was obtained from all women participated in the survey after detailed introduction of the objectives of the study and the right to withdraw from the study at any time. The information sheet and consent was read slowly and loudly by the data collector to the participants. Then, they were asked if there were any queries. After the mothers had confirmed that all is clear, they were asked one last question if they were willing to participate in the survey or not. The data collectors circled either ‘yes’ or ‘no’ based on whichever is selected and the interview was conducted only if the data collector was told to circle the response ‘yes’. This was attached to the questionnaire and documented. Seven (1.4%) mothers were less than 18 years old, but the consent was obtained from these women since they have been married and do not live with the family. The IRB was aware of this situation and approved the verbal consent obtained from mothers less than 18 years old. Confidentiality was maintained by decoding study subjects’ identifiers and the consent form and questionnaires were kept in locked file cabinets.

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

1. Mobile Health (mHealth) Applications: Develop and implement mobile applications that provide pregnant women with information about prenatal care, safe delivery practices, and postnatal care. These apps can also include features such as appointment reminders, medication reminders, and emergency contact information.

2. Telemedicine Services: Establish telemedicine services that allow pregnant women in remote areas to consult with healthcare professionals via video calls. This can help address the lack of skilled birth attendants in home deliveries and provide guidance and support during childbirth.

3. Community Health Workers: Train and deploy community health workers to provide education and support to pregnant women in rural areas. These workers can conduct home visits, provide basic prenatal care, and refer women to healthcare facilities for delivery.

4. Transportation Solutions: Develop innovative transportation solutions to overcome geographical barriers and improve access to healthcare facilities. This could include initiatives such as mobile clinics, ambulance services, or partnerships with local transportation providers to ensure pregnant women can reach healthcare facilities in a timely manner.

5. Financial Incentives: Implement financial incentives, such as cash transfers or vouchers, to encourage pregnant women to seek institutional delivery services. This can help address financial barriers and increase the utilization of healthcare facilities for childbirth.

6. Public Awareness Campaigns: Launch public awareness campaigns to educate communities about the importance of institutional delivery and the potential risks associated with home deliveries. These campaigns can use various media channels, including radio, television, and community gatherings, to reach a wide audience.

7. Strengthening Healthcare Infrastructure: Invest in improving healthcare infrastructure, particularly in rural areas, by constructing or upgrading healthcare facilities, ensuring the availability of essential medical equipment and supplies, and training healthcare professionals to provide quality maternal healthcare services.

It is important to note that the specific context and needs of the target population should be considered when implementing these innovations.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Strengthening Health Facilities: Focus on improving the infrastructure and capacity of health facilities in the study area, including the public hospitals and health centers. This can involve providing necessary equipment, supplies, and trained healthcare professionals to ensure safe and effective delivery services.

2. Increasing Awareness and Education: Implement community-based education programs to raise awareness about the importance of institutional delivery and the risks associated with home deliveries. This can include conducting workshops, seminars, and campaigns to educate women and their families about the benefits of skilled birth attendance and the availability of maternal health services.

3. Addressing Socioeconomic Factors: Develop interventions to address the socioeconomic factors that contribute to home deliveries, such as rural residence, low education levels, and employment status. This can involve providing financial incentives or subsidies to encourage women to seek institutional delivery services, as well as implementing strategies to improve access to education and employment opportunities for women in the study area.

4. Strengthening Antenatal Care Services: Enhance antenatal care services to ensure that pregnant women receive adequate and timely care throughout their pregnancy. This can involve improving the availability and accessibility of antenatal care clinics, as well as training healthcare providers to deliver comprehensive antenatal care services that include education on the benefits of institutional delivery.

5. Mobile Health Solutions: Utilize mobile health technologies to improve access to maternal health services, especially in remote or underserved areas. This can include implementing mobile health clinics or telemedicine programs that allow pregnant women to receive prenatal care and consultations with healthcare professionals remotely.

6. Community Engagement and Support: Engage community leaders, traditional birth attendants, and other stakeholders in promoting institutional delivery and supporting pregnant women in accessing maternal health services. This can involve establishing community-based support networks, providing training to traditional birth attendants on safe delivery practices, and involving community leaders in advocating for the importance of institutional delivery.

By implementing these recommendations, it is expected that access to maternal health services will be improved, leading to a reduction in home deliveries and better health outcomes for mothers and newborns in the study area.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Strengthening education and awareness programs: Implementing comprehensive education and awareness programs targeting rural and uneducated women to increase their knowledge about the importance of institutional delivery and the risks associated with home deliveries.

2. Improving access to healthcare facilities: Expanding the number of healthcare facilities, particularly in rural areas, and ensuring that they are equipped with skilled birth attendants and necessary resources for safe deliveries.

3. Enhancing transportation services: Improving transportation infrastructure and services to ensure that pregnant women can easily access healthcare facilities, especially in remote areas.

4. Promoting community-based interventions: Engaging community health workers and volunteers to provide antenatal care services, conduct home visits, and educate women and their families about the benefits of institutional delivery.

5. Addressing socio-economic barriers: Implementing interventions to address socio-economic factors that contribute to home deliveries, such as poverty, lack of employment opportunities, and limited access to healthcare financing options.

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

1. Data collection: Gather data on the current prevalence of home deliveries, socio-demographic characteristics of the target population, healthcare infrastructure, transportation availability, and other relevant factors.

2. Model development: Develop a simulation model that incorporates the identified recommendations and their potential impact on improving access to maternal health. This could involve using statistical techniques, such as regression analysis, to estimate the relationship between the recommendations and the outcome variables.

3. Parameter estimation: Estimate the parameters of the simulation model using the collected data and statistical analysis techniques. This would involve quantifying the effect of each recommendation on the outcome variables, taking into account the specific context and characteristics of the target population.

4. Scenario analysis: Conduct scenario analysis by simulating different scenarios based on variations in the implementation of the recommendations. This could involve adjusting the levels of intervention coverage, healthcare facility availability, transportation services, and other relevant factors to assess their impact on improving access to maternal health.

5. Impact assessment: Analyze the simulation results to assess the potential impact of the recommendations on improving access to maternal health. This could involve comparing the outcomes of different scenarios and identifying the most effective combination of interventions.

6. Policy recommendations: Based on the simulation results, provide evidence-based policy recommendations for improving access to maternal health. These recommendations should consider the feasibility, cost-effectiveness, and sustainability of the interventions.

It is important to note that the methodology for simulating the impact of recommendations may vary depending on the specific context and available data. Therefore, it is recommended to consult with experts and stakeholders in the field of maternal health to ensure the accuracy and relevance of the simulation methodology.

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