Vaccination status and factors associated among children age 12–23 months in Ethiopia, based on 2016 EDHS: Logit based multinomial logistic regression analysis

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Study Justification:
– Childhood immunization is a cost-effective measure for preventing mortality and morbidity in children.
– Ethiopia has a high under-five mortality rate, with approximately 190,000 children dying each year.
– Previous studies in Ethiopia have focused on individual vaccine coverage or complete/incomplete vaccination, but there is limited research on the factors associated with vaccination status among children aged 12-23 months.
Study Highlights:
– The study analyzed data from the 2016 Ethiopian Demographic and Health Survey (EDHS).
– A total of 1,911 children aged 12-23 months were included in the analysis.
– The prevalence of fully vaccinated children was 35%, while 49% were partially vaccinated and 16% were non-vaccinated.
– Factors associated with vaccination status included focused antenatal care (ANC) visits, visits by field workers, visits to health facilities in the last 12 months, and wealth status.
Study Recommendations:
– Increase the frequency of ANC visits to improve vaccination coverage.
– Strengthen the role of field workers in promoting and facilitating vaccination.
– Improve access to health facilities and encourage regular visits for vaccination.
– Address socioeconomic disparities to ensure equitable vaccination coverage.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation of vaccination programs.
– Health workers: Involved in providing vaccination services and counseling to parents.
– Community health workers: Engaged in community outreach and education on vaccination.
– Non-governmental organizations: Support vaccination campaigns and advocacy efforts.
– Donors and international organizations: Provide funding and technical support for vaccination programs.
Cost Items for Planning Recommendations:
– Training and capacity building for health workers and community health workers.
– Outreach and awareness campaigns to promote vaccination.
– Infrastructure and equipment for health facilities.
– Monitoring and evaluation systems to track vaccination coverage.
– Research and data analysis to inform evidence-based decision-making.
– Coordination and collaboration between stakeholders for effective implementation.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study is based on a secondary data analysis of the 2016 Ethiopian Demographic and Health Survey (EDHS), which provides a representative sample of children aged 12-23 months in Ethiopia. The study used a logit-based multinomial logistic regression analysis to identify factors associated with vaccination status. The prevalence of full vaccination, partially vaccination, and non-vaccination was reported, and adjusted odds ratios were used to present the results. However, the abstract does not provide information on the sample size, response rate, or potential limitations of the study. To improve the evidence, the authors could include these details and discuss any potential biases or limitations in the study design.

Background Childhood immunization is one of the most cost-effective prevention measures for children’s mortality and morbidity, saving 2–3 million lives per year. In Ethiopia, under-five mortality rates, about 190,000 children die each year. Different research conducted in Ethiopia on childhood vaccination have focused on either vaccination coverage of individual vaccine or complete and incomplete vaccination. As far as my literature searching, studies separated the vaccination status into non-vaccinated, partially vaccinated and full vaccinated and assorted factors among children age 12–23 month in Ethiopia were limited. Therefore, the aim of this study was to identify factors associated with vaccination status among children 12–23 months of age in Ethiopia. Method A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS). A total weighted sample of 1911 children age 12–23 months of age were included in the study. Logit based Multinomial logistic regression analysis was computed to distinguish factors associated with routine vaccination of children aged 12–23 months. P-value less than 0.05 was used to declare statistical significance of each independent variables, and adjusted odd ratio (AOR) with 95% confidence interval were used to present the result and STATA 14 was utilized for data management and analysis. Result Overall the prevalence of full vaccinated children was 35%, while 49% of children were partially vaccinated and 16% were non-vaccinated. In multinomial analysis, having focused ANC (at least four visits) contrasted to no ANC visits at all had 9.7 higher odd of being fully vaccinated than not vaccinated [AOR = 9.74, 95% CI = 3.52–26.94], and 5 times higher odd of being partially vaccinated than not vaccinated [AOR = 4.97, 95% CI = 2.00–12.33]. Conclusion The present study found that childhood full vaccination status was low compared with the World Health Organization targets. Frequency of ANC visit and visited by field worker were significantly associated both partially and full vaccination whereas, visited health facility last 12 months and wealth status were significantly associated with childhood full vaccination.

The study was conducted in Ethiopia. Ethiopia is located in the Horn of Africa. The current population of Ethiopia is 116,870,377 in 2021, with 78.3% living in rural areas based on World meter elaboration of the latest United Nations data. It has nine Regional states (A far, Amhara, Benishangul-Gumuz, Gambella, Harari, Oromia, Somali, Southern Nations, Nationalities, and People’s Region (SNNP) and Tigray) and two city Administrative (Addis Ababa and Dire-Dawa). Ethiopia has followed 3 tiers of preventive healthcare system approaches. These are primary-level healthcare comprising of a primary hospital, health center, and health post; secondary-level healthcare (general hospital); and tertiary-level healthcare (specialized hospital). A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS). In 2016 EDHS, a two stage stratified sampling technique was employed to select representative samples for the country as whole. The regions in the country were stratified into urban and rural areas. Then, samples of enumeration areas (EAs) were selected in each stratum in two stages. In the first stage, 645 EAs were selected with probability proportional to the EA size. The EA size is the number of residential households in the EA as determined in the 2007 Ethiopian Population and Housing Census. In the second stage, a fixed number of 28 households per cluster were selected randomly from the household listing [10]. All women aged 15–49 years who were usual members of the selected households were eligible for female survey. Out of 7,193 women who gave birth in the past 5 years preceding of the survey, 5,980 were interviewed about the vaccination status of their children and children of age 12–23 months with missing age of child and outcome variable were excluded from the study. A total weighted sample of 1911 children age 12–23 months of age were included in the study. Vaccination status. Number of children aged 12–23 months received one dose of BCG vaccine, three doses of polio vaccine, and three doses of pentavalent vaccine (DTP-hepB-Hib), three dose of pneumococcal conjugate vaccine (PCV), two dose of virus vaccine and one dose of measles vaccine was considered as “fully vaccinated”; partially vaccinated status was defined as having received some but not all vaccines; and non-vaccinated status was defined as not having received any vaccines. Fully vaccination definition is adopted from Ethiopian national HMIS (health management information system) indicators guideline [16]. But, the vaccine IPV (injectable polio vaccine) was not collected in 2016 EDHS and not included in this analysis. The independent variables included in this study were: maternal age, women educational status, husband/partner’s education status, place of residence, women working status, wealth status, media exposure, frequency of ANC visit, region, and visited health facility last 12 months, visited by field worker, child sex, and place of delivery and participation of decision-making. Participation on decision making. women who decided their health issue alone are labeled as”yes” and coded as “1”, who decide jointly with their partner were labeled as “some” and coded as “2”, while those responded their partner alone decide on their health issue were labeled as “no” and coded as “0”. Logit based Multinomial (polytomous) logistic regression analysis was computed to distinguish factors associated with routine vaccination of children aged 12–23 months. Multinomial Logistic Regression is a simple continuation of binomial logistic regression model to be used when the dependent variable is nominal and has more than two categories. Children who were not vaccinated to any routine vaccination were considered as referent category and specified as “0” and the remaining categories i.e. fully vaccinated and partially vaccinated were considered as alternative category (not the reference category). Variance inflation factors (VIF) were assessed to check multicollinearity among the variables. A VIF value greater than 10 was considered as an indication of multi-collinearity; however, no significant multicollinearity was observed. P-value less than 0.05 was used to declare statistical significance of each independent variables, and adjusted Odd ratio (AOR) with 95% confidence interval were used to present the result. The parameter AOR indicates the likely to membership of one category of the independent variable compared reference category. The closer a value of AOR to zero the less effect of the explanatory variable has on the dependent variable’s alternative category as compared to reference category [17]. Authors have requested DHS Program through an online request by written letter of objective and significance of the study. Permission for data access was granted to download and use the data from http://www.dhsprogram.com. The DHS programs permitted data access, and data were used for only the current study.

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

1. Mobile Health (mHealth) Solutions: Develop mobile applications or SMS-based platforms to provide pregnant women and new mothers with information on prenatal care, vaccinations, and postnatal care. These platforms can also send reminders for appointments and provide access to teleconsultations with healthcare providers.

2. Community Health Workers: Train and deploy community health workers to remote and underserved areas to provide maternal health education, promote vaccinations, and conduct regular check-ups. These workers can also facilitate referrals to healthcare facilities when necessary.

3. Telemedicine: Establish telemedicine networks to connect healthcare providers in urban areas with pregnant women and new mothers in rural areas. This can help address the shortage of healthcare professionals in remote areas and provide access to specialized care and consultations.

4. Mobile Clinics: Set up mobile clinics equipped with basic medical equipment and staffed by healthcare professionals. These clinics can travel to remote areas and provide essential maternal health services, including vaccinations, prenatal care, and postnatal care.

5. Health Financing Innovations: Develop innovative financing models, such as microinsurance or community-based health financing schemes, to make maternal health services more affordable and accessible to low-income individuals and families.

6. Public-Private Partnerships: Foster collaborations between the government, private sector, and non-profit organizations to improve access to maternal health services. This can involve leveraging private sector resources and expertise to expand healthcare infrastructure, improve service delivery, and increase vaccination coverage.

7. Maternal Health Information Systems: Implement robust information systems to collect, analyze, and disseminate data on maternal health indicators, including vaccination coverage. This can help identify gaps in service delivery, monitor progress, and inform evidence-based decision-making.

8. Maternal Health Education Campaigns: Launch targeted education campaigns to raise awareness about the importance of maternal health, including vaccinations, among pregnant women, families, and communities. These campaigns can address misconceptions, cultural beliefs, and barriers to accessing healthcare services.

9. Strengthening Health Facilities: Invest in improving the infrastructure, equipment, and staffing of healthcare facilities, particularly in rural areas. This can enhance the quality of maternal health services and increase the capacity to provide vaccinations and other essential interventions.

10. Policy and Advocacy: Advocate for policies and regulations that prioritize maternal health and ensure equitable access to services. This can involve engaging with policymakers, healthcare providers, and community leaders to address systemic barriers and promote evidence-based practices.

It is important to note that the implementation of these innovations should be context-specific and tailored to the unique needs and challenges of the Ethiopian healthcare system.
AI Innovations Description
The study titled “Vaccination status and factors associated among children age 12–23 months in Ethiopia, based on 2016 EDHS: Logit based multinomial logistic regression analysis” aimed to identify factors associated with vaccination status among children aged 12–23 months in Ethiopia. The study used secondary data analysis based on the 2016 Ethiopian Demographic and Health Survey (EDHS).

The study found that the prevalence of fully vaccinated children was 35%, while 49% were partially vaccinated and 16% were non-vaccinated. Factors associated with vaccination status included having focused antenatal care (ANC) with at least four visits, which was associated with higher odds of being fully vaccinated and partially vaccinated compared to not being vaccinated. Other factors associated with childhood full vaccination included being visited by a field worker and visiting a health facility in the last 12 months. Wealth status was also found to be significantly associated with childhood full vaccination.

Based on these findings, a recommendation to improve access to maternal health and increase childhood vaccination rates in Ethiopia could be to strengthen and promote focused ANC services. This could include increasing awareness and education about the importance of ANC visits, ensuring that ANC services are easily accessible to pregnant women, and providing comprehensive ANC services that include vaccination counseling and provision. Additionally, efforts should be made to increase the presence of field workers who can provide information and support for vaccination, and to improve access to health facilities for vaccination services.

By implementing these recommendations, it is possible to improve vaccination coverage among children aged 12–23 months in Ethiopia, ultimately reducing childhood mortality and morbidity and contributing to improved maternal and child health outcomes.
AI Innovations Methodology
Based on the information provided, here are some potential recommendations for improving access to maternal health in Ethiopia:

1. Strengthen Antenatal Care (ANC) Services: Increase the frequency and quality of ANC visits, ensuring that pregnant women receive the recommended number of visits (at least four visits) to improve their vaccination status and overall maternal health.

2. Enhance Health Facility Visits: Encourage women to visit health facilities regularly, especially within the first 12 months after delivery, to receive postnatal care and vaccinations for their children.

3. Improve Health Worker Outreach: Increase the involvement of field workers in educating and reaching out to communities, particularly in rural areas, to raise awareness about the importance of childhood vaccinations and maternal health.

4. Address Socioeconomic Factors: Implement interventions to improve the wealth status of households, as it was found to be significantly associated with childhood full vaccination. This could include poverty reduction programs and initiatives to improve access to education and employment opportunities for women.

5. Strengthen Media Exposure: Utilize various media platforms to disseminate information about the benefits of childhood vaccinations and maternal health, targeting both urban and rural populations.

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 measure access to maternal health, such as vaccination coverage rates, ANC visit frequency, and utilization of health facilities.

2. Collect baseline data: Gather data on the current status of the indicators in the target population. This could be done through surveys, interviews, or analysis of existing data sources.

3. Develop a simulation model: Create a mathematical or statistical model that incorporates the identified indicators and their interrelationships. This model should simulate the impact of the recommendations on the indicators over a specified time period.

4. Input the intervention scenarios: Input the proposed recommendations into the simulation model as intervention scenarios. This could involve adjusting variables such as ANC visit frequency, health worker outreach efforts, and media exposure levels.

5. Run the simulations: Execute the simulation model with the intervention scenarios to estimate the potential impact on the indicators. This could involve running multiple iterations or scenarios to account for different population groups or geographical areas.

6. Analyze the results: Analyze the simulation results to assess the projected changes in the indicators. Evaluate the effectiveness of the recommendations in improving access to maternal health and identify any potential challenges or limitations.

7. Refine and validate the model: Refine the simulation model based on the analysis and feedback from stakeholders. Validate the model by comparing the simulated results with real-world data or expert opinions.

8. Communicate the findings: Present the findings of the simulation study to relevant stakeholders, such as policymakers, healthcare providers, and community leaders. Use the results to inform decision-making and prioritize interventions for improving access to maternal health.

It is important to note that the methodology for simulating the impact of recommendations may vary depending on the specific context and available data. It is recommended to consult with experts in the field of maternal health and utilize rigorous research methods to ensure the accuracy and reliability of the simulation study.

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