Childhood vaccination in rural southwestern Ethiopia: the nexus with demographic factors and women’s autonomy

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Study Justification:
– Vaccination is a cost-effective way to improve child health and reduce child mortality.
– More than 22 million children worldwide do not receive basic recommended vaccinations.
– Vaccination coverage in Ethiopia remains low.
– Previous research on child health has focused on socio-economic factors, but little attention has been given to demographic factors and women’s autonomy within the household.
– This study aims to examine the influences of demographic factors and women’s autonomy on childhood vaccination in rural Ethiopia.
Study Highlights:
– The study was conducted in the Gilgel Gibe Health and Demographic Surveillance System in southwestern Ethiopia.
– A sample size of 1,456 women was used for the study.
– Data were collected from March to May 2012 using a structured questionnaire.
– The main outcome variable was full vaccination coverage of children aged 12-24 months.
– The main explanatory variables were women’s pregnancy intention, number of under-five children in the household, and women’s participation in household decision making.
– Socio-economic status and maternal health seeking behavior were also measured.
– Data analysis was done using STATA software version 11.
Study Recommendations:
– Increase vaccination coverage in rural Ethiopia by addressing demographic factors and women’s autonomy within the household.
– Promote family planning and reproductive health education to improve women’s pregnancy intention.
– Provide targeted interventions for households with multiple under-five children.
– Empower women to participate in household decision making, especially regarding health care and purchases.
– Improve access to antenatal care, delivery services, and postnatal check-ups.
– Consider socio-economic factors, education, wealth index, parity, and distance from health facilities in vaccination programs.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation of vaccination programs.
– Regional and District Health Offices: Provide support and coordination at the local level.
– Jimma University: Conducts research and runs the Gilgel Gibe Health and Demographic Surveillance System.
– Data Collectors and Supervisors: Collect and manage data for the study.
Cost Items for Planning Recommendations:
– Training: Budget for training data collectors and supervisors.
– Questionnaire Development: Allocate funds for developing and finalizing the structured questionnaire.
– Ethical Approval: Cover the costs associated with obtaining ethical approval.
– Support Letters: Obtain support letters from regional and district health offices.
– Participant Compensation: Consider providing compensation or incentives for study participants.
– Data Analysis: Allocate resources for data analysis using STATA software.
– Implementation of Interventions: Budget for implementing targeted interventions based on study recommendations.

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 described, including the sampling frame and data collection methods. The sample size is also provided. However, the abstract does not mention specific results or statistical analyses conducted. To improve the evidence, the abstract could include a summary of the main findings and any significant associations identified in the logistic regression models. Additionally, providing the p-values for the associations would further strengthen the evidence.

INTRODUCTION: Vaccination can reduce child mortality significantly and is a cost effective way to improve child health.Worldwide, more than 22 million children do not receive the basic recommended vaccinations.Vaccination coverage in Ethiopia remains low. Research on child health has focused on socio-economic factors such as maternal education and access to health care, but little attention has been given to demographic factors and women’s autonomy within the household. The purpose of this study was to examine the influences of demographic factors and women’s autonomy on the completion of childhood vaccination in rural Ethiopia.

A cross-sectional survey was conducted in the Gilgel Gibe Health and Demographic Surveillance System (HDSS) which is located 260 kilometers to the southwest of Addis Ababa (the capital) in southwestern Ethiopia. The Gilgel Gibe HDSS, which is run by Jimma University, is used to collect vital events data. The HDSS covers more than 10,000 households and a population of over 55,000 people. Women residing in the demographic surveillance area who had a live birth in the two years before the survey served as a sampling frame for the present study. The data used for this study were collected as part of a larger study on the effects of unintended pregnancy and related socio-demographic factors on maternal and child health in the HDSS. A sample size of 1,456 women was estimated for the study. Participants were drawn from eleven kebeles (smallest administrative unit in Ethiopia) in the HDSS area using simple random sampling. There were 1,370 women interviewed in the main study who gave birth to 1,382 children in the two years before the survey. A sub-sample of 889 children of age 12-24 months were eligible for the present analysis. Data collection took place from March to May 2012. Data were collected by ten trained female data collectors who had a diploma-level training and data collection experience. They were closely supervised by supervisors who had similar or higher level of education and experience in supervision of data collection. The data collectors and supervisors participated in 5 days of training focusing on questionnaire administration and ethical considerations. After the training, a pre-test of the questionnaire was conducted. Information from the pre-test was used to finalize the questionnaire. Data were collected using a structured questionnaire originally developed in English and translated to Oromo. Vaccination data were recorded from cards if the mother was able to present a card or reported verbally. All study participants were interviewed at their home in private area. Ethical approval was obtained from the College of Health Sciences, Addis Ababa University. Support letters were obtained from regional and district health offices. Local (kebele) administrations were informed about the study. Participants were briefed on the study and provided informed consent. The main outcome variable was full vaccination coverage of children age 12-24 months. We used the WHO definition of full vaccination which states that children are considered to be fully vaccinated when they have received a vaccination against tuberculosis (BCG), three doses each of DPT-HepB-Hib vaccine and polio vaccines, and a measles vaccination by the age of 12 months. The main explanatory variables were women’s pregnancy intention for the index child, number of under-five children in the household and women’s participation in household decision making. Pregnancy intention was measured using the standard DHS approach, which asks women to recall their feelings at the time they became pregnant; “At the time you became pregnant, did you want to become pregnant then, did you want to wait until later, or did you not want to have any (more) children at all?” Women’s participation in decision making was measured by asking the following questions; “who makes decisions in your household about: (1) obtaining health care for yourself; (2) large household purchases; (3) household purchases for daily needs; and (4) visits to family or relatives?” The responses were: (1) respondent alone, (2) respondent and husband/partner, (3) husband/partner alone, (4) someone else. Women were considered to participate in a decision if they usually make that decision alone or jointly with their husbands. A composite index was constructed by grouping women into two categories: women who participate in all four household decisions, indicating a higher level of autonomy, and women who do not have any say in one or more decisions. The internal consistency of the scale, as assessed using Cronbach’s alpha, was 0.82. Socio-economic status was measured using a household assets index derived using principal components analysis. Maternal health seeking behaviour included antenatal care, place of delivery and postnatal check up. We also included several control variables including education, wealth index, parity, and distance from health facility. Data analysis Data were analyzed using STATA software version 11. Bivariate associations between child vaccination and the explanatory and control variables were assessed using Chi-square analyses. At the multivariate level, two logistic regression models were run to identify factors associated with complete versus incomplete vaccination and receipt of at least one vaccination versus no vaccination. Variables were entered into the models based on their association in the bivariate analysis (at p < 0.20). Adjusted odds ratio and 95% confidence intervals are reported.

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

1. Mobile clinics: Implementing mobile clinics that can travel to rural areas, such as the Gilgel Gibe Health and Demographic Surveillance System (HDSS) in southwestern Ethiopia, can provide essential maternal health services, including vaccinations, to women who may have limited access to healthcare facilities.

2. Community health workers: Training and deploying community health workers in rural areas can help bridge the gap in healthcare access. These workers can provide education on maternal health, including the importance of childhood vaccinations, and assist in administering vaccines.

3. Telemedicine: Utilizing telemedicine technology can connect healthcare providers in urban areas with women in rural areas. This can enable remote consultations, monitoring, and guidance on maternal health, including vaccination schedules.

4. Health education campaigns: Conducting targeted health education campaigns in rural communities can raise awareness about the importance of childhood vaccinations and maternal health. These campaigns can address cultural beliefs and misconceptions, promoting informed decision-making.

5. Improving transportation infrastructure: Enhancing transportation infrastructure, such as roads and transportation networks, can facilitate easier access to healthcare facilities for women in rural areas. This can help overcome geographical barriers and ensure timely access to maternal health services, including vaccinations.

6. Strengthening supply chains: Improving the supply chains for vaccines and other maternal health resources can ensure consistent availability in rural areas. This includes establishing efficient distribution systems and storage facilities to maintain the integrity of vaccines.

7. Empowering women: Promoting women’s autonomy within households and decision-making processes can positively impact maternal health outcomes. Encouraging women’s participation in household decision-making, including healthcare decisions, can lead to increased awareness and utilization of maternal health services, including vaccinations.

These innovations can help address the challenges of low vaccination coverage and limited access to maternal health services in rural areas, ultimately improving maternal and child health outcomes.
AI Innovations Description
Based on the description provided, the recommendation to improve access to maternal health would be to focus on increasing childhood vaccination coverage in rural southwestern Ethiopia. This can be achieved by addressing the following factors:

1. Demographic Factors: Consider the demographic factors that may influence childhood vaccination rates, such as the number of under-five children in the household. Implement targeted interventions to ensure that families with multiple children are aware of and have access to vaccination services.

2. Women’s Autonomy: Recognize the importance of women’s autonomy within the household in decision-making regarding healthcare, including childhood vaccination. Promote women’s participation in household decision-making processes and empower them to have a say in healthcare-related decisions for themselves and their children.

3. Awareness and Education: Conduct awareness campaigns to educate the community about the benefits of childhood vaccination and address any misconceptions or concerns. Provide information on the recommended vaccination schedule and the importance of completing all vaccinations.

4. Accessibility: Improve access to vaccination services by ensuring that healthcare facilities are easily accessible to rural communities. This may involve establishing mobile vaccination clinics or increasing the number of healthcare facilities in the area.

5. Collaboration and Partnerships: Foster collaboration between healthcare providers, community leaders, and local organizations to ensure a coordinated approach to improving childhood vaccination coverage. Engage community leaders and influencers to promote vaccination and address any cultural or social barriers.

6. Monitoring and Evaluation: Implement a robust monitoring and evaluation system to track vaccination coverage rates and identify any gaps or challenges. Regularly assess the impact of interventions and make necessary adjustments to ensure continuous improvement.

By addressing these recommendations, it is expected that access to maternal health will be improved through increased childhood vaccination coverage in rural southwestern Ethiopia.
AI Innovations Methodology
Based on the provided information, the study aims to examine the influences of demographic factors and women’s autonomy on the completion of childhood vaccination in rural Ethiopia. The methodology used in the study includes a cross-sectional survey conducted in the Gilgel Gibe Health and Demographic Surveillance System (HDSS) in southwestern Ethiopia. Here is a brief description of the methodology used:

1. Sampling: The study used a sampling frame of women residing in the demographic surveillance area who had a live birth in the two years before the survey. A sample size of 1,456 women was estimated, and participants were drawn from eleven kebeles (smallest administrative unit in Ethiopia) in the HDSS area using simple random sampling.

2. Data Collection: Data collection took place from March to May 2012. Ten trained female data collectors and supervisors collected data using a structured questionnaire. The questionnaire was originally developed in English and translated to Oromo. Vaccination data were recorded from cards if available or reported verbally by the mothers.

3. Variables: The main outcome variable was full vaccination coverage of children aged 12-24 months, defined by the WHO as receiving vaccinations against tuberculosis (BCG), DPT-HepB-Hib vaccine, polio vaccines, and measles vaccination by the age of 12 months. The main explanatory variables included women’s pregnancy intention for the index child, number of under-five children in the household, and women’s participation in household decision making.

4. Data Analysis: Data were analyzed using STATA software version 11. Bivariate associations between child vaccination and the explanatory and control variables were assessed using Chi-square analyses. Two logistic regression models were run to identify factors associated with complete versus incomplete vaccination and receipt of at least one vaccination versus no vaccination. Adjusted odds ratios and 95% confidence intervals were reported.

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

1. Identify the recommendations: Based on the study findings and existing literature, identify potential recommendations to improve access to maternal health. These recommendations could include interventions such as increasing awareness about the importance of vaccinations, improving transportation to healthcare facilities, enhancing women’s autonomy in decision-making, and strengthening healthcare infrastructure.

2. Define the simulation model: Develop a simulation model that incorporates key variables and factors related to maternal health access, such as demographic factors, women’s autonomy, healthcare availability, and socio-economic status. The model should be designed to simulate the impact of the identified recommendations on improving access to maternal health.

3. Data collection: Collect relevant data to populate the simulation model. This may include data on vaccination coverage, demographic factors, women’s autonomy, healthcare infrastructure, and other relevant variables. Ensure that the data is accurate, representative, and up-to-date.

4. Model implementation: Implement the simulation model using appropriate software or programming languages. Input the collected data into the model and simulate the impact of the identified recommendations on improving access to maternal health. The model should provide outputs that quantify the potential improvements in access to maternal health based on different scenarios and interventions.

5. Analysis and interpretation: Analyze the simulation results and interpret the findings. Assess the effectiveness of the recommendations in improving access to maternal health and identify any potential limitations or challenges. Use the results to inform decision-making and prioritize interventions for improving maternal health access.

6. Validation and refinement: Validate the simulation model by comparing the simulated results with real-world data and existing evidence. Refine the model as needed to improve its accuracy and reliability.

By following this methodology, policymakers and healthcare professionals can gain insights into the potential impact of recommendations on improving access to maternal health and make informed decisions to address the identified gaps.

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