Full immunization coverage and its associated factors among children aged 12-23 months in Ethiopia: Further analysis from the 2016 Ethiopia demographic and health survey

listen audio

Study Justification:
– Vaccination is a cost-effective strategy for reducing childhood morbidity and mortality.
– Improving immunization coverage can prevent approximately 1.5 million additional deaths globally.
– Understanding the level of immunization among children is crucial for designing appropriate interventions.
Study Highlights:
– The overall full immunization coverage in Ethiopia was 38.3%.
– Factors significantly associated with full immunization included rural residence, employment, female household head, wealth index, maternal education, ANC follow-ups, and delivery at health facilities.
– Female household head and rural dwellings were negatively associated with full immunization, while higher maternal education, employment, middle and rich economic status, ANC follow-up, and delivery at health facilities were positively associated with full immunization.
Study Recommendations:
– Improve health education to increase awareness and knowledge about the importance of immunization.
– Expand healthcare services to remote areas to improve access to immunization.
– Target interventions towards rural areas and households headed by females to address the lower immunization coverage.
– Strengthen ANC follow-ups and encourage delivery at health facilities to improve immunization rates.
Key Role Players:
– Ministry of Health: Responsible for implementing and coordinating immunization programs.
– Healthcare providers: Deliver immunization services and provide health education.
– Community health workers: Educate and mobilize communities for immunization campaigns.
– Non-governmental organizations: Support immunization programs through funding and implementation.
Cost Items for Planning Recommendations:
– Health education materials: Development and distribution of educational materials.
– Training programs: Capacity building for healthcare providers and community health workers.
– Outreach programs: Mobile clinics and campaigns to reach remote areas.
– Infrastructure development: Construction and maintenance of health facilities.
– Vaccine procurement and logistics: Purchase and distribution of vaccines.
– Monitoring and evaluation: Data collection and analysis to assess program effectiveness.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it is based on secondary data analysis from the 2016 Ethiopia Demographic and Health Survey (EDHS), which provides a large sample size and representative data. The study utilized both bivariate and multivariable logistic regression models to assess the status and factors associated with full immunization. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were computed. However, the abstract does not provide information on the limitations of the study or potential biases in the data. To improve the evidence, the abstract could include a discussion of the study’s limitations, such as potential recall bias in mothers’ reports of vaccination status, and suggestions for future research to address these limitations.

Background: Vaccination is one of the cost effective strategies reducing childhood morbidity and mortality. Further improvement of immunization coverage would halt about 1.5 million additional deaths globally. Understanding the level of immunization among children is vital to design appropriate interventions. Therefore, this study aimed to assess full immunization coverage and its determinants among children aged 12-23 months in Ethiopia. Methods: The study was based on secondary data analysis from the 2016 Ethiopia Demographic and Health Survey (EDHS). Information about 1,909 babies aged 12-23 months was extracted from children dataset. Both bivariate and multivariable logistic regression models were utilized to assess the status and factors associated with full immunization. Adjusted odds ratio (AOR) with a 95% confidence interval (CI) was computed. Variables with less than 0.05 p-values in the multivariable logistic regression model were considered as statistically and significantly associated with the outcome variable. Results: The overall full immunization coverage was 38.3% (95% CI: 36.7, 41.2). Rural residence (AOR = 0.60, 95% CI: 0.43, 0.84), employed (AOR = 1.62, 95% CI: 1.31, 2.0), female household head (AOR = 0.58, 95% CI: 0.44, 0.76), wealth index [middle (AOR = 1.44, 95% CI: 1.07, 1.94) and richness (AOR = 1.65, 95% CI: 1.25,2.19)], primary school maternal education (AOR = 1.38,95% CI: 1.07, 1.78), secondary school maternal education (AOR = 2.19, 95% CI: 1.43, 3.36), diploma graduated mothers (AOR = 1.99, 95% CI: 1.09, 3.61), ANC follow ups (AOR = 2.79, 95% CI:2.17 3.59), and delivery at health facilities (AOR = 1.76, 95% CI: 1.36, 2.24) were significantly associated factors with full immunization. Conclusion: Full immunization coverage in Ethiopia was significantly lower than the global target. Female household head and rural dwellings were negatively associated with full immunization. In contrast higher maternal education, employment, middle and rich economic status, ANC follow up, and delivery at health facility were positively associated with full immunization among 12-23 months old children. This suggests that improved health education and service expansion to remote areas are necessary to step immunization access.

The data used in this paper is from the 2016 Ethiopian Demographic and Health Survey report. Ethiopia is the second largest populous country in Africa with 102.4 million people and an annual population growth rate of 2.5%. The country is divided into nine regional and two-city administrations and has a three-tier health care system with the primary care facilities situated in nearby communities. The two stage stratified sampling technique/ method was used for the survey. Initially, the enumeration area were stratified into urban and rural. The first stage involved selecting clusters, within the enumeration areas. The second stage was a systematic listing of households in the selected clusters. Out of each cluster 28 households were randomly selected to constitute the total sample size of households. 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 data gathered from 1,909 of the mothers who had children aged 12–23 months of were analyzed [23]. Full immunization was the response variable, whereas socio-demographic characteristics (age, residence, religion, marital status), reproductive health history (place of delivery, birth order, antenatal care and postnatal care follow up) were the independent variables. The information in the 2016 EDHS report on vaccination coverage was collected from immunization cards shown to the interviewers and from mothers’ verbal responses. When cards were available, the interviewer copied the vaccination dates directly onto questionnaires. When vaccination cards were not available for the child or if the vaccine was not recorded on the card as being given, the respondents were asked to recall if vaccine were given to her child. According to the WHO guideline [1], “complete or full immunization” coverage is defined as a child that has received one dose of BCG, three doses of pentavalent, pneumococcal conjugate (PCV), oral polio vaccines (OPV); two doses of Rota virus and one dose of measles vaccine. We recoded each variable (vaccinations) as “0” and “1” for children who didn’t take the recommended doses and those who took, respectively, on the basis of the reports of mothers and information in the child vaccination card. Then we added all “0” and “1”s and labeled the total as “Immunization status”. The immunization status was recoded as “1” if the child had received all the recommended doses of all vaccinations and categorized as “full immunization” or “0” if the child had missed one or more doses of vaccinations and categorized as “Incomplete immunization”. Descriptive statistics were used to describe the level of full immunization coverage by socio-demographic characteristics. Bivariate and multivariable logistic regression analyses were conducted to identify the determinants of full immunization. Logistic regression was chosen because our dependent variable was dichotomous (i.e., 0 and 1). Variables in bivariable logistic regression analysis with p-values less than 0.2 were entered into the multivariable analysis. Adjusted odds ratio (AOR) and 95% confidence Interval (CI) were used to assess the strength of associations between the outcome and the independent variables. The threshold for statistical significance was set at p < 0.05. The whole analysis was performed using STATA version 15.0.

N/A

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

1. Mobile Health (mHealth) Interventions: Develop and implement mobile health applications or text messaging services to provide information and reminders about immunization schedules, antenatal care visits, and postnatal care follow-ups. This can help improve communication and accessibility for mothers, especially in remote areas.

2. Community Health Workers (CHWs): Train and deploy community health workers to provide education and support to pregnant women and mothers regarding immunization and other maternal health services. CHWs can help bridge the gap between healthcare facilities and communities, ensuring that women receive the necessary information and care.

3. Outreach Programs: Organize regular outreach programs in rural and underserved areas to provide immunization services and antenatal care. These programs can include mobile clinics, vaccination drives, and health education sessions to reach women who may have limited access to healthcare facilities.

4. Strengthening Health Infrastructure: Invest in improving and expanding healthcare infrastructure, particularly in rural areas. This includes building and equipping more health facilities, ensuring the availability of trained healthcare providers, and improving transportation networks to facilitate access to maternal health services.

5. 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 support immunization campaigns, provide funding for healthcare infrastructure, and implement innovative solutions.

6. Maternal Health Education: Implement comprehensive maternal health education programs that target women, families, and communities. These programs should focus on raising awareness about the importance of immunization, antenatal care, and postnatal care, as well as addressing any misconceptions or cultural barriers that may hinder access to these services.

7. Data-driven Decision Making: Utilize data from surveys, such as the Ethiopia Demographic and Health Survey, to identify areas with low immunization coverage and develop targeted interventions. Regular monitoring and evaluation of immunization programs can help identify gaps and inform evidence-based strategies for improvement.

It is important to note that these recommendations are based on the information provided and may need to be further tailored and contextualized to the specific needs and challenges of maternal health in Ethiopia.
AI Innovations Description
The recommendation that can be developed into an innovation to improve access to maternal health based on the information provided is to focus on improving health education and expanding healthcare services to remote areas in Ethiopia. This is because the study found that factors such as higher maternal education, ANC follow-ups, and delivery at health facilities were positively associated with full immunization coverage among children aged 12-23 months. Therefore, by providing comprehensive health education to mothers and families, as well as ensuring that healthcare services are accessible in remote areas, it can help increase awareness and utilization of maternal health services, including immunization. Additionally, implementing mobile health clinics or telemedicine initiatives can also be considered to reach remote areas and provide necessary healthcare services.
AI Innovations Methodology
Based on the information provided, here is a potential recommendation to improve access to maternal health:

Recommendation: Strengthening Health Education and Service Expansion in Rural Areas

Description: One of the significant factors associated with lower full immunization coverage in Ethiopia is rural residence. To improve access to maternal health, it is recommended to focus on strengthening health education and expanding healthcare services in rural areas. This can be achieved through the following strategies:

1. Health Education: Implement comprehensive health education programs targeting rural communities. These programs should focus on raising awareness about the importance of immunization, dispelling myths and misconceptions, and addressing barriers to accessing healthcare services.

2. Community Health Workers: Train and deploy community health workers in rural areas to provide education, counseling, and support to pregnant women and mothers. These workers can play a crucial role in promoting immunization and ensuring that women receive antenatal care and postnatal care.

3. Mobile Clinics: Establish mobile clinics that can travel to remote rural areas, providing immunization services, antenatal care, and postnatal care. This will help overcome geographical barriers and ensure that women in hard-to-reach areas have access to essential healthcare services.

4. Infrastructure Development: Invest in improving healthcare infrastructure in rural areas, including the construction and upgrading of health facilities. This will increase the availability and accessibility of maternal health services, including immunization.

Methodology to Simulate the Impact of Recommendations on Improving Access to Maternal Health:

To simulate the impact of the above recommendations on improving access to maternal health, the following methodology can be used:

1. Data Collection: Collect baseline data on full immunization coverage, maternal health indicators, and socio-demographic characteristics in rural areas of Ethiopia. This can be done through surveys, interviews, and analysis of existing data sources.

2. Model Development: Develop a simulation model that incorporates the identified factors associated with full immunization coverage and maternal health access. This model should consider variables such as rural residence, health education, community health worker presence, mobile clinic availability, and healthcare infrastructure.

3. Parameter Estimation: Estimate the parameters of the simulation model based on available data and expert knowledge. This may involve statistical analysis, regression modeling, and expert consultations.

4. Scenario Testing: Simulate different scenarios by adjusting the parameters related to the recommended interventions. For example, simulate the impact of increasing the number of community health workers or expanding mobile clinic services in rural areas.

5. Impact Assessment: Analyze the simulation results to assess the impact of the recommended interventions on improving access to maternal health. This can be done by comparing the simulated outcomes (e.g., full immunization coverage rates, antenatal care utilization) under different scenarios.

6. Policy Recommendations: Based on the simulation results, provide policy recommendations on the most effective interventions to improve access to maternal health in rural areas. Consider factors such as cost-effectiveness, feasibility, and sustainability.

7. Monitoring and Evaluation: Continuously monitor and evaluate the implementation of the recommended interventions to assess their real-world impact on improving access to maternal health. Adjust the simulation model and interventions as needed based on the feedback and outcomes observed.

Note: The above methodology is a general framework and may require customization based on the specific context and available data in Ethiopia.

Partilhar isto:
Facebook
Twitter
LinkedIn
WhatsApp
Email