Determinants of institutional delivery service utilization among pastorals of Liben Zone, Somali Regional State, Ethiopia, 2015

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Study Justification:
– Maternal health service utilization is lacking in the pastoral society and is poorly documented.
– This study aims to identify the determinants of institutional delivery among pastoralists in Liben Zone, Somali Regional State, Ethiopia.
– The study is funded by the project “Fostering health care for refugees and pastoral communities in Somali Region, Ethiopia”.
Study Highlights:
– The study used a quantitative and qualitative approach to collect data through interviews and focus group discussions.
– The major determinants of institutional delivery in the study area include lack of knowledge, long waiting time, poor quality services, cultural beliefs, religious misconception, partner decision, and long travel.
– Only a third of the women had visited health facilities for their pregnancy, and the majority preferred to give birth at home.
– Women who attended antenatal care were more likely to deliver at health facilities.
– Women whose family members preferred health facilities had a higher probability of giving birth in health institutions.
– Women living in proximity to a health facility were more likely to give birth at health facilities.
Recommendations for Lay Reader and Policy Maker:
– Increase access to delivery services for pastoral women.
– Provide information, education, and communication to reach pastoral women in need.
– Improve the quality of services and reduce waiting time.
– Address cultural beliefs and religious misconceptions that hinder institutional delivery.
– Involve family members in promoting the use of health facilities for delivery.
Key Role Players:
– Project coordinators and managers
– Health professionals and staff
– Traditional birth attendants
– Community leaders
– Clan leaders
– Religious leaders
– Woreda or kebele officials
Cost Items for Planning Recommendations:
– Training and capacity building for health professionals and staff
– Awareness campaigns and educational materials
– Infrastructure development and improvement of health facilities
– Transportation and logistics for reaching remote pastoral communities
– Monitoring and evaluation activities
– Research and data collection expenses

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 clearly described, and both quantitative and qualitative data collection methods were used. The sample size calculation is provided, and the sampling technique is explained. The data collection process is well-documented, including the use of trained data collectors and supervisors. However, the analysis methods are not described in detail, and it is unclear how the associations between variables were examined. To improve the evidence, the abstract could include more information on the analysis methods used, such as the specific statistical tests employed and how confounders were controlled for. Additionally, providing more details on the study findings, such as the magnitude of the associations and their statistical significance, would enhance the evidence.

Maternal health service utilizations are poorly equipped, inaccessible, negligible, and not well documented in the pastoral society. This research describes a quantitative and qualitative study on the determinants of institutional delivery among pastoralists of Liben Zone with special emphasis on Filtu and Deka Suftu woredas of Somali Region, Ethiopia. The study was funded by the project “Fostering health care for refugees and pastoral communities in Somali Region, Ethiopia”. This community-based cross-sectional study was conducted during November 2015. Interviews through a questionnaire and focus group discussions were used to collect the data. Proportional to size allocation followed by systematic sampling technique was used to identify the study units. The major determinants of institutional delivery in the study area were as follows: being apparently healthy, lack of knowledge, long waiting time, poor quality services, cultural beliefs, religious misconception, partner decision, and long travel. Around one-third (133, 34.5%) of the women had visited at least once for their pregnancy. More than half (78, 58.6%) of the women had visited health facilities due to health problems and only 27 (19.9%) women had attended the recommended four antenatal care visits. Majority (268, 69.6%) of the pregnant women preferred to give birth at home. Women who attended antenatal care were two times more likely to deliver at health facilities (AOR, 95% confidence interval [CI] =2.38, 1.065–4.96). Women whose family members preferred health facilities had 14 times more probability to give birth in health institutions (AOR, 95% CI =13.79, 5.28–35.8). Women living in proximity to a health facility were 13 times more likely to give birth at health facilities than women living far away (AOR, 95% CI =13.37, 5.9–29.85). Nomadic way of life, service inaccessibility, and sociodemographic and cultural obstacles have an effect on the utilization of delivery services. Increasing access, information, education, and communication need to reach pastoral women in need.

A cross-sectional community-based quantitative and qualitative study design was used to assess the determinants of institutional delivery in Liben Zone, Somali Region, eastern Ethiopia. All women of reproductive age (15–49 years) residing in Filtu and Deka Suftu districts were the source population, and pregnant women residing in Filtu and Deka Suftu districts as permanent residents were selected as the study population. The sample size was determined using the single population proportion formula n=Z(α/2)2p(1−p)w2, where n is the sample size, z is the standard normal deviation, set at 1.96 (for 95% confidence interval [CI]), w is the desired degree of accuracy (taken as 0.05) and p is the estimate prevalence of institutional delivery (50%), and the required total sample size was 385 women. Multistage sampling method was used for the Liben Zone, which consists of six woredas. Two woredas were selected by purposive sampling technique. The calculated sample sizes (385) were proportionally allocated to each selected woreda based on its size of households. A systematic sampling technique was then used to identify the study households. In the event where there was no pregnant woman in the selected household, the next household was visited. Moreover, in cases where the selected household was closed or the eligible person was absent, two attempts were made to find the respondents. Data were collected by 15 female data collectors who were familiar with the study area and local language. A standardized structured questionnaire was developed after serious revision and investigation of existing relevant studies. The original English version of the questionnaire was translated into local language (Somali version), and then the local version was translated back into English by professionals to check its consistency. Interviewer-administered exit interview was conducted in a private and quiet room for audio privacy. Supervisors and the principal investigator monitored data collection very closely. The questionnaire was pretested in 10% of the sample size in other kebeles before the actual study and appropriate modifications were made accordingly. Highly structured four focus group discussions (FGDs) (Filtu, Malkahagar [Baladulamin], Ayinle, and Deka Suftu) were used to collect relevant data from the informants. The FGD participants were composed of different groups such as women in childbearing age, health professionals working in health institutions, traditional birth attendants, community leaders, clan leaders, religious leaders, and woreda or kebele officials in the study areas. Four FGDs were conducted in both woredas, and the participants were drawn from different groups as mentioned earlier. There were 31 group discussants and the maximum number of participants in each group were 6–8 in order to make it manageable in size. The questionnaire was pretested a week before the actual data collection time on a sampled unit in a kebele, which was not selected for the actual study, and modification was done accordingly. Data collectors and supervisors were trained by the principal investigator. During data collection, trained supervisors strictly supervised the correctness of the questionnaire and the procedure every day. The principal investigator also checked the completeness and correctness of the filled questionnaire. Data were entered using the EpiData software, version 3.02. Finally, data were cleaned before the actual analysis. The collected data were entered into a computer using the EpiData software; the data were cleaned and then exported to SPSS software, version 20 (IBM Corporation, Armonk, NY, USA) for further analysis. The frequencies and percentages were calculated for all variables that were related to the objectives of the study. Odds ratio (OR) with 95% CI was used to examine the associations between dependent and independent variables. To confirm the association, variables found to have a strong association in the bivariate analysis were transferred to a final multivariate model. Moreover, multivariate logistic regression analysis was done to control confounders and study the separate effects of the various factors associated with the intentions of pregnant women about the place of delivery. For multivariable analysis, statistical significance was considered when P-value was <0.05. The study obtained ethical clearance from the zonal and woreda administration, as well as from the woreda Health Bureau and Filtu Hospital Administration. A formal letter was submitted to all concerned bodies in the region to obtain their cooperation in facilitating the study. All interviews were conducted after obtaining a written signed informed consent from the respondents. Data were then collected by respecting the rights of the respondents by making the information provided by the respondents anonymous.

Based on the provided description, here are some potential recommendations for innovations to improve access to maternal health:

1. Mobile health clinics: Implementing mobile health clinics that can travel to remote areas and provide maternal health services, including antenatal care and delivery services.

2. Telemedicine: Utilizing telemedicine technology to connect pregnant women in remote areas with healthcare professionals who can provide guidance and support throughout their pregnancy and delivery.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and referrals in underserved areas.

4. Health education campaigns: Conducting targeted health education campaigns to raise awareness about the importance of institutional delivery and antenatal care, addressing cultural beliefs and misconceptions.

5. Improving infrastructure: Investing in the development and improvement of healthcare facilities, including maternity wards, in areas with limited access to maternal health services.

6. Transportation support: Providing transportation support for pregnant women in remote areas to access healthcare facilities for antenatal care and delivery.

7. Partnerships with traditional birth attendants: Collaborating with traditional birth attendants to ensure they are trained and equipped to provide safe delivery services and to facilitate referrals to healthcare facilities when necessary.

8. Strengthening referral systems: Establishing and strengthening referral systems between community health workers, traditional birth attendants, and healthcare facilities to ensure seamless access to maternal health services.

9. Financial incentives: Introducing financial incentives, such as cash transfers or vouchers, to encourage pregnant women to seek institutional delivery services.

10. Data collection and monitoring: Implementing robust data collection and monitoring systems to track maternal health indicators and identify areas for improvement in access to maternal health services.

These recommendations aim to address the determinants of institutional delivery identified in the study, such as lack of knowledge, long waiting times, poor quality services, cultural beliefs, religious misconceptions, partner decision-making, and long travel. By implementing these innovations, access to maternal health services can be improved, leading to better health outcomes for pregnant women and their babies.
AI Innovations Description
Based on the research findings, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Increase access to health facilities: Develop mobile health clinics or outreach programs that can reach pastoral communities in remote areas. These clinics can provide essential maternal health services, including antenatal care, delivery services, and postnatal care.

2. Improve knowledge and awareness: Implement community-based education programs to raise awareness about the importance of institutional delivery and the benefits of antenatal care. This can be done through community health workers, traditional birth attendants, and local leaders who can disseminate information and address cultural beliefs and misconceptions.

3. Reduce waiting time and improve quality of services: Strengthen health systems by ensuring an adequate number of skilled health professionals, improving infrastructure, and providing necessary medical equipment and supplies. This will help reduce waiting times and ensure that women receive high-quality care during childbirth.

4. Involve partners and family members: Engage partners and family members in decision-making processes regarding maternal health. Educate them about the benefits of institutional delivery and involve them in antenatal care visits to increase their support for delivering at health facilities.

5. Improve transportation: Address the challenge of long travel distances by providing transportation services or establishing referral systems that can quickly transfer women in need of emergency obstetric care to nearby health facilities.

6. Tailor interventions to nomadic lifestyles: Develop innovative strategies that can adapt to the nomadic way of life of pastoral communities. This can include mobile health services that can follow nomadic populations or establishing temporary health facilities in areas where pastoral communities frequently gather.

7. Strengthen information, education, and communication (IEC) efforts: Use various communication channels, such as radio, community meetings, and mobile technology, to disseminate information about maternal health services and promote behavior change among pastoral women.

By implementing these recommendations, it is possible to improve access to maternal health services and reduce maternal mortality rates among pastoral communities in Liben Zone, Somali Regional State, Ethiopia.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Increase awareness and knowledge: Implement educational programs and campaigns to raise awareness about the importance of institutional delivery and the benefits of antenatal care. This can be done through community health workers, local leaders, and mass media.

2. Improve quality of services: Enhance the quality of maternal health services by providing adequate training and resources to healthcare providers. This includes ensuring the availability of skilled birth attendants, essential equipment, and necessary medications.

3. Reduce waiting time: Implement strategies to reduce waiting time at healthcare facilities, such as improving appointment systems, streamlining administrative processes, and increasing the number of healthcare providers.

4. Address cultural and religious beliefs: Engage with community leaders, religious leaders, and traditional birth attendants to address cultural and religious beliefs that may hinder institutional delivery. This can be done through sensitization programs and community dialogues.

5. Improve accessibility: Increase the number of health facilities in rural and remote areas to improve accessibility for pregnant women. This can be achieved by establishing mobile clinics, expanding existing facilities, and providing transportation services for pregnant women.

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

1. Define indicators: Identify key indicators to measure the impact of the recommendations, such as the percentage of women receiving antenatal care, the percentage of institutional deliveries, and the reduction in maternal mortality rates.

2. Baseline data collection: Collect baseline data on the current status of maternal health access in the target area, including the percentage of women receiving antenatal care, the percentage of institutional deliveries, and the maternal mortality rate.

3. Intervention implementation: Implement the recommended interventions, such as awareness campaigns, training programs for healthcare providers, and infrastructure improvements. Monitor the implementation process to ensure adherence to the planned interventions.

4. Data collection after intervention: Collect data after the implementation of the interventions to measure the impact. This can be done through surveys, interviews, and health facility records. Collect data on the same indicators as the baseline data to compare the changes.

5. Data analysis: Analyze the collected data to assess the impact of the interventions. Compare the post-intervention data with the baseline data to determine the changes in access to maternal health services.

6. Evaluation and reporting: Evaluate the results of the analysis and report the findings. This can include the percentage increase in antenatal care coverage, the percentage increase in institutional deliveries, and any changes in maternal mortality rates. Provide recommendations for further improvements based on the evaluation results.

By following this methodology, it is possible to simulate the impact of the recommendations on improving access to maternal health and assess the effectiveness of the interventions implemented.

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