Incidence and determinants of stillbirth among women who gave birth in jimma university specialized hospital, Ethiopia

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Study Justification:
– Stillbirth is a significant global issue, with the majority of cases occurring in developing countries.
– Understanding the incidence and determinants of stillbirth is crucial for addressing this problem.
– This study aims to assess the incidence and determinants of stillbirth among women who gave birth in Jimma University specialized hospital in Ethiopia.
Highlights:
– The study found that the incidence rate of stillbirth in the hospital during the study period was 8% or 80 per 1000 total births.
– Factors associated with a higher risk of stillbirth included the presence of complications, not having antenatal care, and not being referred from another health facility.
– Normal vaginal delivery was associated with a lower risk of stillbirth.
Recommendations:
– Efforts should be made to improve antenatal and obstetric services, as well as delivery services, in terms of awareness, access, timing, and referral systems to emergency care and specialized services.
– Increasing awareness and access to antenatal care can help reduce the risk of stillbirth.
– Strengthening referral systems from other health facilities can improve outcomes for pregnant women.
– Providing specialized training for healthcare providers in obstetrics and gynecology can enhance the quality of care and reduce stillbirth rates.
Key Role Players:
– Obstetricians and gynecologists
– Nurse/midwives
– Specialty training residents in obstetrics and gynecology
– Hospital administrators and management
– Public health officials
– Policy makers
Cost Items for Planning Recommendations:
– Training programs for healthcare providers
– Equipment and supplies for antenatal and obstetric services
– Infrastructure improvements for delivery services
– Awareness campaigns and educational materials
– Referral system development and maintenance
– Monitoring and evaluation activities to assess the impact of interventions

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is relatively strong, but there are some areas for improvement. The study design is a cross-sectional study, which is appropriate for assessing incidence and determinants of stillbirth. The sample size of 413 mothers is adequate for this type of study. The data collection methods are described, including the use of a pretested and structured questionnaire. The data analysis is also mentioned, with the use of SPSS-20 statistical software. The results are presented, including the incidence rate of stillbirth and the predictors associated with stillbirth. The conclusion provides a summary of the findings and suggests areas for improvement in antenatal and obstetric services. However, there are some limitations to consider. The study was conducted at a single hospital, which may limit the generalizability of the findings. 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 or potential sources of bias. To improve the evidence, future studies could consider a larger sample size and include multiple hospitals to increase the generalizability of the findings. It would also be helpful to provide information on the response rate and any potential biases in the sample. Finally, the abstract should include a section on limitations and potential sources of bias.

Introduction: Worldwide approximately 2.7 million are stillborn, more than 98% of these occur in developing countries. To address the problem, incidence and determinants of stillbirth must be understood. Therefore the aim of this study was to assess incidence and determinants of stillbirth among women who gave birth in Jimma University specialized hospital. Methods: A cross-sectional study design among 413 mothers who gave birth in Jimma specialized hospital was employed. Study subjects were selected by systematic sampling technique from the list of women who gave birth in hospital in one month study period. Data were collected by using pretested and structured questionnaire. Data were edited, cleaned, coded, entered and analyzed using SPSS-20 statistical software. Univarate and bivariate (logistic regressions) analysis was employed. Results: The incidence rate of stillbirth in the Hospital during a month period was 8% or 80 per 1000 total births. The predictors that showed an independent close association with stillbirth were absence of complication (OR = 0.1, 95% CI (0.04-0.2)), referral from other health facility (OR = 0.3, 95% CI (0.1-0.7)), having antenatal care (OR = 0.3, 95% CI (0.1-0.7)) and normal vaginal delivery (OR = 0.2, 95% CI (0.1-0.8)). Conclusion: The incidence rate of stillbirths in our setting is high and the identified determinants were related to both ante-partum and intra-partum-period. Therefore, effort should be made to improve antenatal, obstetric services and delivery services in terms awareness, access, timing and referral system to emergency care and specialized service to reduce the number of stillbirths.

Facility based cross sectional study was conducted at Jimma University specialized Hospital maternity unit in the department of obstetrics and gynecology in south-west Ethiopia. The hospital is the only teaching and referral hospital for south western part of Ethiopia and gives different specialized clinical services including maternal and child service for about 15 million population including referral cases from different region including the South Sudanese refuges. The maternity unit in the Department of Obstetrics and Gynecology at the hospital has between 4 and 8 specialist physicians. There are between four and eight nurse and midwives nurse for each shift. The department also has specialty training in obstetrics and gynecology residents which took four year to finish the specialty training that means in the departments there are resident specialty from 1st year to 4th year. Jimma University specialized Hospital is a 500 bedded hospital with 45 maternity beds, 5 delivery tables. During admission, detail history regarding age, parity, obstetric history and other reproductive health status are taken. Regular checks up are done by obstetrician, resident obstetricians and medical interns. Most deliveries are conducted by resident doctors (obstetricians) with the help of midwife/nurses on duty. The sample size was determined using single population proportion formula assuming; 95% level of confidence, 50% proportion of antenatal care (ANC) and non-response of 10%. This made the final sample size 422 women. A systematic sampling technique was used to identify study participants. Participant mothers were identified using delivery registration record book. Every one mother who gave birth or delivered was interviewed, until the required sample size was attained. The data were collected using structured questionnaires and check lists which were adapted from similar survey used by similar studies [9, 11]. The questioners contain the following parts: Socio demographic factors (respondents’ age, marital status, religion, ethnicity, education status, income, the number of children a woman has, occupation and other information). Obstetric and reproductive factors (ANC follow up, number of pregnancy, parity, means of transport to hospital, cause of complication mother experienced). Infant and delivery related issues (history of still birth, type of delivery, delivery outcome of the mother, delivery outcome of the fetus, type of skilled personnel). The data were collected using pre-tested structured questionnaires which were adapted from similar survey used by similar studies [9, 11]. The questionnaires were prepared in English and translated in to Amharic and retranslated back to English to check its consistency. The interview was conducted after delivery and before the mother left delivery unit. All mothers were informed about the purpose of the study, importance of their participation and consent was ensured. Based on their willingness to participate in the study, they were interviewed by the interviewer. After they have completed the interview, the questionnaires were returned to the supervisors. Data collectors were recruited from other nearby institutions who were working in delivery unit. Training for data collectors and supervisors were given for two days, to make them familiar with the study instrument, consent form, how to interview, where to interview, when to interview, and on data collection procedure in general, by the principal investigator. All filled questioners were checked daily for completeness, accuracy, clarity and consistency by the supervisors and investigator. Necessary correction and changes were made on time. The data was cleaned, checked for inconsistencies and missing values, coded and entered in to statistical package for social sciences (SPSS) for versions 20.0. The data was organized and presented by using tables and frequencies to see the overall distribution of the study subject with the variables under study. For bivaret analysis, crude odds ratio was computed to assess the presence and degree of association between different variables with 95% confidence interval. Alpha value of 0.05 was considered for statistical significance. Logistic regression analysis was used to identify the independent risk factors or predictors variables on still birth. Research ethical clearance and approval was obtained from ethical clearance committee of Public Health and medical science college, Jimma University after submission of the proposal. A written consent was obtained from Jimma specialized hospital. All the study participants were informed about the purpose of the study and their consent were obtained before interview. Written informed consent was obtained from every study subject before the interview by explaining the objective of the research. All the information collected from the study subjects was handled confidentially through omitting their personal identification, conducting the interview in private place and the data were used for the research purpose only.

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

1. Telemedicine: Implementing telemedicine services can allow pregnant women in remote areas to access healthcare professionals and receive prenatal care through virtual consultations. This can help address the issue of limited access to healthcare facilities.

2. Mobile health (mHealth) applications: Developing mobile applications that provide information and resources related to maternal health can empower women with knowledge and support. These apps can provide guidance on prenatal care, nutrition, and warning signs during pregnancy, improving access to information and promoting healthier pregnancies.

3. Community health workers: Training and deploying community health workers can help bridge the gap between healthcare facilities and pregnant women in rural areas. These workers can provide education, support, and basic healthcare services, ensuring that women receive the necessary care during pregnancy.

4. Transportation solutions: Improving transportation infrastructure and implementing innovative transportation solutions, such as mobile clinics or ambulances, can help pregnant women in remote areas reach healthcare facilities in a timely manner. This can reduce delays in receiving emergency obstetric care and improve maternal outcomes.

5. Health education campaigns: Conducting targeted health education campaigns can raise awareness about the importance of prenatal care and the availability of healthcare services. These campaigns can be tailored to specific communities and address cultural beliefs and barriers to accessing maternal health services.

6. Strengthening referral systems: Enhancing the referral system between primary healthcare facilities and specialized hospitals can ensure that pregnant women with complications are promptly referred to appropriate facilities for specialized care. This can help reduce delays in receiving life-saving interventions.

7. Task-shifting and skill enhancement: Training and empowering healthcare workers, such as midwives and nurses, with additional skills and responsibilities can help alleviate the shortage of specialized healthcare professionals. This can improve access to quality maternal health services, especially in resource-limited settings.

8. Public-private partnerships: Collaborating with private healthcare providers and organizations can help expand access to maternal health services. Public-private partnerships can leverage the resources and expertise of both sectors to improve the availability and quality of care for pregnant women.

These are just a few potential innovations that can be considered to improve access to maternal health based on the provided information. It is important to assess the local context, resources, and needs to determine the most appropriate and effective solutions.
AI Innovations Description
Based on the study conducted at Jimma University specialized Hospital in Ethiopia, the following recommendations can be developed into an innovation to improve access to maternal health:

1. Strengthen Antenatal Care (ANC) Services: Enhance awareness and access to ANC services by providing comprehensive information to pregnant women about the importance of regular check-ups, early detection of complications, and the benefits of ANC for both the mother and the baby. This can be done through community outreach programs, health education campaigns, and mobile health clinics.

2. Improve Referral System: Establish a well-functioning referral system between primary healthcare facilities and specialized hospitals to ensure timely access to emergency obstetric care. This can be achieved by training healthcare providers on the identification and referral of high-risk pregnancies, improving communication channels between facilities, and providing transportation support for pregnant women in need of emergency care.

3. Enhance Obstetric Services: Invest in training and capacity building for healthcare providers in obstetric care, including midwives, nurses, and resident obstetricians. This can be done through continuous professional development programs, mentorship, and on-the-job training. Additionally, ensure that delivery units are adequately staffed and equipped with essential supplies and equipment to provide safe and quality care during childbirth.

4. Promote Community Engagement: Engage communities in maternal health initiatives by raising awareness about the importance of skilled birth attendance, encouraging community members to support pregnant women in accessing healthcare services, and addressing cultural and social barriers that may hinder women from seeking care. This can be achieved through community dialogues, women’s support groups, and the involvement of community leaders and influencers.

5. Strengthen Data Collection and Analysis: Establish a robust system for collecting, analyzing, and utilizing maternal health data to inform evidence-based decision-making and monitor progress towards reducing stillbirths. This can be done by implementing electronic health records, training healthcare providers on data collection and management, and establishing a centralized database for maternal health indicators.

By implementing these recommendations, access to maternal health can be improved, leading to a reduction in stillbirths and better health outcomes for mothers and babies.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for improving access to maternal health:

1. Strengthen antenatal care services: Efforts should be made to improve awareness and access to antenatal care services. This can be achieved through community education programs, mobile clinics, and outreach services to remote areas.

2. Enhance referral system: Improving the referral system from other health facilities to Jimma University specialized hospital can help ensure that pregnant women with complications receive timely and appropriate care. This can be done by establishing clear communication channels, providing training to healthcare providers on referral protocols, and improving transportation options for referrals.

3. Increase availability of obstetric services: To reduce the incidence of stillbirths, it is important to ensure that obstetric services are readily available. This can be achieved by increasing the number of specialist physicians, nurse-midwives, and delivery tables in the maternity unit. Additionally, efforts should be made to provide continuous training and support to healthcare providers to enhance their skills and knowledge in managing obstetric emergencies.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the indicators: Identify specific indicators that can measure the impact of the recommendations, such as the number of women receiving antenatal care, the number of successful referrals, and the reduction in stillbirth rates.

2. Collect baseline data: Gather data on the current status of maternal health access, including the number of women receiving antenatal care, the number of referrals, and the stillbirth rates. This data will serve as a baseline for comparison.

3. Implement the recommendations: Put the recommendations into action, such as improving antenatal care services, strengthening the referral system, and increasing the availability of obstetric services.

4. Monitor and evaluate: Continuously monitor the implementation of the recommendations and collect data on the indicators identified in step 1. This can be done through routine data collection, surveys, and interviews with healthcare providers and pregnant women.

5. Analyze the data: Use statistical analysis software, such as SPSS, to analyze the collected data. Compare the baseline data with the data collected after implementing the recommendations to assess the impact on improving access to maternal health.

6. Interpret the results: Interpret the findings of the analysis to determine the effectiveness of the recommendations in improving access to maternal health. Identify any challenges or barriers that may have affected the outcomes.

7. Make adjustments and improvements: Based on the results and analysis, make any necessary adjustments or improvements to the recommendations. This could involve refining strategies, reallocating resources, or addressing identified barriers.

8. Continuously monitor and evaluate: Establish a system for ongoing monitoring and evaluation to ensure that access to maternal health continues to improve over time. This can involve regular data collection, feedback mechanisms, and quality improvement initiatives.

By following this methodology, it will be possible to simulate the impact of the recommendations on improving access to maternal health and make evidence-based decisions for further improvements.

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