Partial vaccination and associated factors among children aged 12–23 months in eastern Ethiopia

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Study Justification:
– Vaccine-preventable diseases cause millions of deaths each year, and vaccination is an effective way to prevent these diseases.
– Immunization coverage in Ethiopia is below the level needed to prevent the spread of vaccine-preventable diseases.
– This study aimed to assess the partial immunization and associated factors among children aged 12-23 months in Eastern Ethiopia.
Highlights:
– The prevalence of partial immunization was found to be 31.4%.
– The dropout rate between the first and third pentavalent vaccine was 17%.
– Factors significantly associated with partial vaccination included being a female child, being 18-20 months old, having a mother who heard about vaccination, not receiving immunization counseling, and having a mother who had to walk a certain distance to reach health facilities.
Recommendations:
– To decrease the proportion of defaulters and increase immunization coverage, maternal health care utilization, such as antenatal care follow-up, should be encouraged.
– Mothers should be educated about the importance of vaccines and the benefits of immunization.
– Immunization counseling should be provided to mothers to address any concerns or misconceptions they may have.
– Efforts should be made to improve access to health facilities, especially for mothers who have to walk long distances.
Key Role Players:
– Ministry of Health
– District health offices
– Health centers
– Health posts
– Community health workers
– Non-governmental organizations (NGOs)
– Community leaders
Cost Items for Planning Recommendations:
– Training and capacity building for health workers and community health workers
– Educational materials and campaigns
– Transportation and logistics for outreach programs
– Monitoring and evaluation activities
– Communication and awareness campaigns
– Infrastructure improvements for health facilities
– Staff salaries and incentives

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is community-based cross-sectional, which allows for data collection from a representative sample. The sample size calculation is appropriate, and data were collected using a structured questionnaire. The statistical analysis was conducted using appropriate methods. However, the study could be improved by including more information on the sampling technique and the response rate. Additionally, the abstract could provide more details on the limitations of the study and suggestions for future research.

Background: Vaccine prevents about 2–3 million deaths from vaccine-preventable diseases each year. However, immunization coverage in Ethiopia is lower than the herd immunity level required to prevent the spread of all vaccine-preventable diseases. Thus, this study aimed to assess the partial immunization and associated factors among 12–23-month-old children in Eastern Ethiopia. Method: A community-based cross-sectional study design was carried out among 874 randomly selected mothers/caregivers of children aged 12–23 months. A structured questionnaire was adapted and data were collected through face-to-face interviews and review of vaccination cards. Data were coded and analyzed using the Stata version 14 software. A binary logistic regression model was utilized to identify the determinant factors. The predictor of partial immunization was presented by an adjusted odds ratio with a 95% confidence interval. A p-value of 60 min to reach nearby health facilities [AOR = 1.94, 95% CI: 1.1–3.45], [AOR = 4.5, 95% CI: 2.47–8.15], and [AOR = 3.45, 95% CI: 1.59- 7.48] respectively were factors significantly associated with partial vaccination. Conclusions: The prevalence of partial immunization is high compared to other studies. As a result, to decrease the proportion of defaulters and to increase immunization coverage, maternal health care utilization like antenatal care follow-up and mother knowledge about the importance of the vaccine need to be sought cautiously.

A community-based cross-sectional study was conducted in Haramaya District, East Hararge zone; Oromia Region in Ethiopia from January 1st to January 30, 2021. The district is 506 km away from Addis Ababa, the capital of Ethiopia. Haramaya district has 2 urban and 32 rural kebeles. According to the 2007 national census, the total population of Haramaya district is 304, 849; of which 152,119(49.9%) and 152,729(51.01%) were males and females respectively; with 9,816 (3.22%) 12 to 23-month-old children. There are 8 health centers, 38 health posts, and 13 low-level private clinics in the district (Haramaya administrative health office report for 2018). Mothers/caregivers with children aged between 12 to23 months who lived in Haramaya district during the study period comprised the study population. Mothers who had an alive child aged between 12–23 months and lived in the area were eligible. The sample size was calculated by using a single population proportion formula with assumptions of confidence level at 95% = 1.96, a margin of error (d) = 0.03, and a proportion of children aged 12–23 months with immunization coverage (P = 0.383) was taken from a study conducted by Tamirat, K.S and Sisay M.M [14] and by adding 5% non-response rate and design effect 1.5, the final sample size became 892. From 34 kebeles of Haramaya district, 5 of them were selected randomly. There were 7675 households in those five kebeles. The calculated sample size (892) was then allocated proportionally to the selected kebeles based on their population (number of mothers/caregivers). Individual study participants were chosen at random from each kebele using a simple random sampling technique. For households with more than one eligible member, an interview was conducted by selecting one woman through a lottery method. The data were collected using a structured questionnaire adapted from the Ethiopian demographic health survey (EDHS [19] and previous literature [20]. It is divided into five sections: socio-demographic data, vaccination knowledge, maternal health care utilization, access and quality of vaccination services, and child vaccination. The questionnaire was written in English, translated to the local languages (Afan Oromo and Amharic) in the study area, and then translated back to English to ensure consistency. Five nurses collected data through face-to-face interviews. Vaccination data were collected from the child’s immunization card, or through an interview if the immunization card was not accessible. Where vaccination card was not accessible, confirmation was done by observing BCG scar. Data collectors and supervisors were trained on how to ask and fill questions, how to select households and children, and how to approach mothers/caregivers. Before the actual data collection, the questionnaire was pre-tested on 5% of non-selected households. The completeness of filled questionnaires was verified. Twelve to twenty-three months old child who received at least one vaccine, but not all the EPI vaccines. In this study, those children who belong to defaulters/do not belong to fully vaccinated were leveled as partially vaccinated were as those children not belongs to the above definition were leveled as not partially vaccinated. A 12–23 months old child who received one dose of BCG and measles, three doses each of the Pentavalent, four doses of OPV, three doses of PCV, and two doses of Rota vaccine before his/her first birthday. A 12–23-month-old child who did not receive any of the EPI vaccines. The vaccination coverage calculated with numerator based only on mothers/caregivers’ reports. Represent the percentage of a target population that has been vaccinated. Coverage is usually calculated for each vaccine and the number of doses received. It is, therefore, the percentage of children within the target population who received vaccinations against specific vaccine-preventable diseases by a certain age and who were reported and documented. Is the rate difference between the initial vaccines (BCG or Pentavalent I) and the final vaccines (Pentavalent III or Measles). BCG to Measles dropout rate: the percent of children vaccinated for BCG who don’t receive measles vaccine. Pentavalent I to Pentavalent III dropout rate: the percent of children vaccinated for Pentavalent I, but who did not receive Pentavalent III. Knowledge of mothers/ caregivers on immunization were measured through 5 knowledge-related questions and the correct answer was level as 1 and the incorrect answer is leveled as 0 and the result was described. The data were coded, cleaned, edited, and entered into Epi data statistical software version 3.1 and then exported to STATA version 14 for analysis. Summary statistics were presented with percentages, mean, standard deviation, median and interquartile range. Binary logistic regression was used to find out predictors of vaccination status. The outcome variable was dichotomized into “Yes (partially vaccinated)” and “No (not partially vaccinated)”. Bivariate analysis and multivariate analysis were done to see the association between each independent variable and partial vaccination by using binary logistic regression. Variables with p-values less than 0.25 in the bivariable analysis were selected for further inclusion in the multivariable model. The multi-co-linearity test was carried out to see the correlation between independent variables by using the standard error (standard error > 2 was considered as suggestive of the existence of multi-co-linearity). The association between outcome and predictors was reported by AOR with a 95% confidence interval. P-value less than 0.05 was considered as a cut-off point for statistical significance. Likewise, after fitting the model goodness of the final model was checked by using the Hosmer- Lemeshow test. The Hosmer–Lemeshow statistic indicates a good fit at a p-value of 0.05 or greater. Ethical clearance to conduct this study was obtained from Haramaya University, College of Health and Medical Sciences, Institutional Health Research Ethics Review Committee (HU-IHRERC). A permission letter was obtained from the district administration and district health office. Informed, voluntary, written, and signed consent was obtained from individuals that were going to be involved in the study, following an explanation about the purpose of the study, risk, and benefit. Confidentiality was kept throughout the data collection and the entire study period. The right to participate or not to participate in the study was explained to the participants.

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

1. Mobile Health (mHealth) Applications: Develop and implement mobile applications that provide information and reminders about maternal health, including vaccination schedules, antenatal care visits, and postnatal care. These apps can also provide access to telemedicine services, allowing mothers to consult healthcare professionals remotely.

2. Community Health Workers: Train and deploy community health workers to educate and support mothers in remote areas. These workers can provide information about the importance of vaccination, assist with scheduling appointments, and offer transportation services to healthcare facilities.

3. Telemedicine Services: Establish telemedicine services that allow pregnant women and new mothers to consult healthcare professionals remotely. This can help overcome geographical barriers and provide timely advice and support.

4. Improving Transportation Infrastructure: Invest in improving transportation infrastructure, especially in rural areas, to ensure that pregnant women have easier access to healthcare facilities. This can include building roads, providing transportation vouchers, or implementing ambulance services.

5. Health Education Campaigns: Conduct targeted health education campaigns to raise awareness about the importance of maternal health and vaccination. These campaigns can use various mediums, such as radio, television, community gatherings, and social media, to reach a wide audience.

6. Strengthening Health Systems: Invest in strengthening healthcare systems, including increasing the number of healthcare facilities, improving the availability of vaccines, and training healthcare professionals on maternal health and vaccination.

7. Maternal Health Vouchers: Implement voucher programs that provide financial assistance to pregnant women for accessing maternal health services, including vaccinations. These vouchers can cover the cost of transportation, consultations, and vaccines.

8. Public-Private Partnerships: Foster partnerships between the public and private sectors to improve access to maternal health services. This can involve collaborating with private healthcare providers to expand service delivery and ensure availability of vaccines.

9. Mobile Clinics: Set up mobile clinics that travel to remote areas, providing maternal health services, including vaccinations, to underserved populations. These clinics can be equipped with necessary medical equipment and staffed by healthcare professionals.

10. Maternal Health Hotlines: Establish toll-free hotlines that provide information and support to pregnant women and new mothers. Trained professionals can answer questions, provide guidance, and refer women to appropriate healthcare services.

It is important to note that the implementation of these innovations should be context-specific and consider the local healthcare infrastructure, cultural norms, and resource availability.
AI Innovations Description
The study titled “Partial vaccination and associated factors among children aged 12–23 months in eastern Ethiopia” aimed to assess the partial immunization and factors associated with it among children aged 12–23 months in Eastern Ethiopia. The study found that the prevalence of partial immunization was 31.4%, indicating a high proportion of children not fully vaccinated. Factors associated with partial vaccination included being a female child, being 18–20 months old, having mothers who heard about vaccination, not receiving immunization counseling, and having mothers who had to walk a certain distance to reach nearby health facilities.

Based on the findings of this study, the following recommendations can be made to improve access to maternal health and increase immunization coverage:

1. Strengthen maternal health care utilization: Encourage pregnant women to attend antenatal care follow-up visits regularly. Antenatal care visits provide an opportunity to educate mothers about the importance of vaccination and address any concerns or misconceptions they may have.

2. Increase awareness about vaccination: Conduct community-based awareness campaigns to educate mothers and caregivers about the benefits of vaccination and address any myths or misconceptions. This can be done through health education sessions, community meetings, and the use of local media channels.

3. Improve access to immunization services: Enhance the availability and accessibility of vaccination services by establishing more health centers, health posts, and low-level private clinics in the area. This will reduce the distance mothers have to travel to reach vaccination facilities, making it easier for them to access immunization services.

4. Provide immunization counseling: Ensure that mothers receive proper counseling on immunization during antenatal care visits and other healthcare encounters. This counseling should include information on the importance of vaccination, the recommended immunization schedule, and any potential side effects or concerns.

5. Address gender disparities: Pay attention to gender disparities in immunization coverage and address any barriers that may prevent girls from receiving vaccinations. This may involve community engagement and education to challenge cultural norms and promote gender equality in healthcare access.

By implementing these recommendations, it is expected that the proportion of children who are partially vaccinated will decrease, leading to improved immunization coverage and better access to maternal health services in the study area.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthening Health Education: Implement comprehensive health education programs that focus on the importance of maternal health, including antenatal care, immunization, and the benefits of vaccination for both mothers and children. This can be done through community outreach programs, workshops, and awareness campaigns.

2. Improving Antenatal Care Services: Enhance the availability and quality of antenatal care services by ensuring that pregnant women have access to regular check-ups, screenings, and counseling on immunization. This can be achieved by training healthcare providers, increasing the number of healthcare facilities, and improving the infrastructure and equipment in existing facilities.

3. Enhancing Vaccine Delivery Systems: Strengthen the vaccine delivery systems by improving the availability and accessibility of vaccines in health facilities. This can be done by establishing cold chain systems to maintain the quality of vaccines, ensuring an adequate supply of vaccines, and implementing efficient distribution mechanisms to reach remote areas.

4. Addressing Barriers to Healthcare Access: Identify and address the barriers that prevent mothers from accessing maternal health services, such as long distances to healthcare facilities, lack of transportation, and cultural or social factors. This can be achieved by establishing mobile clinics, providing transportation services, and engaging community leaders and influencers to promote the importance of maternal health.

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

1. Define the indicators: Identify specific indicators that measure access to maternal health, such as immunization coverage rates, antenatal care utilization, and distance to healthcare facilities.

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

3. Develop a simulation model: Create a simulation model that incorporates the identified recommendations and their potential impact on the indicators. This model should consider factors such as population size, geographical distribution, and existing healthcare infrastructure.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. This can involve adjusting variables such as the coverage of health education programs, the number of healthcare facilities, and the availability of vaccines.

5. Analyze results: Analyze the results of the simulations to determine the potential improvements in access to maternal health. This can include assessing changes in immunization coverage rates, antenatal care utilization, and reduction in barriers to healthcare access.

6. Validate the model: Validate the simulation model by comparing the simulated results with real-world data or expert opinions. This can help ensure the accuracy and reliability of the model.

7. Refine and iterate: Based on the results and validation, refine the simulation model and iterate the process to further optimize the recommendations and their potential impact on improving access to maternal health.

It is important to note that the methodology described above is a general framework and can be customized based on the specific context and available data.

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