Prevalence and determinants of incomplete or not at all vaccination among children aged 12-36 months in Dabat and Gondar districts, northwest of Ethiopia: Findings from the primary health care project

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Study Justification:
– Ethiopia is a signatory country for the implementation of primary healthcare strategies, including immunization.
– Vaccine-preventable diseases contribute to 16% of child deaths in Ethiopia.
– Understanding the prevalence and determinants of incomplete or not at all vaccination is crucial for improving immunization rates and reducing vaccine-preventable diseases.
Study Highlights:
– The study was conducted in Dabat and Gondar districts, Northwest Ethiopia.
– A total of 603 mothers/caregivers with children aged 12-36 months were included in the analysis.
– The prevalence of incomplete or not at all vaccinated children was 23.10%.
– Lack of antenatal care (ANC) and postnatal care (PNC) visits were identified as key determinants of incomplete or not at all vaccination.
Recommendations for Lay Reader and Policy Maker:
– Intensify health system approaches to improve ANC and PNC services.
– Provide more effective advice on child immunization to reduce vaccine-preventable diseases.
– Increase awareness among mothers/caregivers about the importance of ANC and PNC visits for vaccination.
Key Role Players:
– Ministry of Health: Responsible for policy development and implementation.
– Health Extension Workers: Provide community-level healthcare services and education.
– Primary Healthcare Centers: Deliver ANC, PNC, and immunization services.
– Community Leaders and Volunteers: Assist in raising awareness and promoting immunization.
Cost Items for Planning Recommendations:
– Training and capacity building for healthcare providers.
– Outreach programs to reach remote areas.
– Information and education campaigns.
– Vaccine supply and logistics.
– Monitoring and evaluation systems.
– Support for community engagement activities.
Please note that the provided information is based on the given description and publication. For specific details and accurate cost estimations, it is recommended to refer to the original research publication or consult relevant authorities.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study design is a community-based cross-sectional study, which provides valuable information. The sample size is adequate, and statistical analysis was conducted. However, the study relies on self-reported data, which may introduce bias. To improve the strength of the evidence, future studies could consider using a longitudinal design to establish causality and verify the reported vaccination status through medical records or immunization cards.

Objective Ethiopia is one of the Africa’s signatory countries for implementation of the primary healthcare strategy including immunisation. In Ethiopia, however, 16% of child death is due to vaccine-preventable disease. Thus, this study aimed to assess the prevalence and determinants of incomplete or not at all vaccination among children aged 12-36 months in Dabat and Gondar districts, Northwest Ethiopia. Study design The study is community-based cross-sectional study. Study setting Dabat and Gondar Zuria districts, Northwest Ethiopia. Participants Mothers/caregivers with children aged 12-36 months were enrolled in the study. Participants were randomly selected through systematic sampling and a total of 603 participants were included in the analysis. Methods A binary logistic regression analysis was done. In the multivariable logistic regression analysis, a p value of <0.05 and adjusted OR (AOR) with 95% CI were used to identify statistically associated factors with incomplete or not at all vaccination. Outcomes Incomplete or not at all vaccination. Results The prevalence of incomplete or not at all vaccinated children was 23.10% (95% CI 16.50 to 29.70). The multivariable analysis revealed that the odds of incomplete or not at all vaccination were higher among mothers who had no antenatal care (ANC) visit (AOR: 1.81, 95% CI 1.21 to 4.03) and no postnatal care (PNC) visit (AOR=1.52, 95% CI 1.05 to 2.25). Conclusions In the study area, nearly one-fourth of children are incompletely or not at all vaccinated. Our finding suggests that ANC and PNC visits are key determinants of incomplete or not at all vaccination. Thus, in low-resource settings like Ethiopia, the health system approaches to improved ANC and PNC services should be intensified with more effective advice on child immunisation to reduce vaccine preventable disease.

A community-based cross-sectional study was conducted from May 1 to 29 June 2019 in Dabat and Gondar Zuria districts, Northwest Ethiopia (figure 1). Dabat and Gondar Zuria districts, 2 of the total 23 districts in North Gondar zone of the Amhara region, consist of 30 and 38 kebeles (the smallest administrative units), respectively, located in different ecological zones (high, middle and low land). The districts have 145 509 (Dabat) and 231 324 (Gondar Zuria) inhabitants who are largely depended on agriculture. Of the total inhabitants, 3973 in Dabat and 6180 in Gondar Zuria district are children aged 12–36 months, respectively. Map of the study areas. Mothers/caregivers with children aged 12–36 months who lived in study area for at least 6 months were included in the study. Thus, a total of 603 children aged 12–36 months fulfilling the eligibility criteria were included. However, those who were unable to respond or very sick were excluded. Initially, the study was aimed to assess accessibility and availability of primary healthcare services at the community level, in Dabat and Gondar Zuria districts, Northwest Ethiopia. Of the total kebeles, 8 in Dabat and 10 kebeles in Gondar Zuria district were selected randomly. Systematic sampling was used to select the study participants. For households with more than one child who fulfilled the inclusion criteria, a child was selected randomly. As part of the original survey, this particular study used the data extracted from the original survey database. Accordingly, only mothers with children aged 12–36 months were considered to investigate the magnitude of incomplete or not at all vaccination and associated factors. To this effect, sample size was calculated using Epi-info V.3.7 by considering the assumptions: 24.3% prevalence of incomplete immunisation among children aged 12–23 months in Gondar Town,16 95% level of confidence and 5% margin of error. A design effect of 1.5% and 10% non-response rate were also anticipated to obtain the final sample size of 622. Data from the mothers or caregivers of the children were collected through home-to-home visits using a structured interviewer-administered questionnaire adapted from the Ethiopian Demography and Health Survey (EDHS). The questionnaire was designed to capture sociodemographic characteristics, health service utilisation and physical access to maternal health services and visits by health extension workers. The questionnaire was prepared in English, translated to Amharic (the local language) and was administered, and the responses were translated back to English for analysis. A 2-day training on sampling procedure and data collection techniques was given to data collectors and supervisors. The acceptability and the logical structure of the questionnaire were checked on the field, during pretesting. Fifteen data collectors and three field supervisors were recruited for the study. The data collectors checked for the presence of child’s immunisation card. Data on child vaccination (timing and type of vaccines received) were collected from vaccination cards and, if unavailable, by only interviewing parent’s, as suggested by WHO.10 Data were checked for completeness and quality, on daily basis, by the field supervisors. The outcome variable, incomplete vaccination or not at all vaccination, was defined as: a child aged 12–36 months who had missed at least one dose of the eight vaccines was considered to be incomplete vaccination and a child aged 12–36 months who did not receive any vaccine before this study was considered to be not at all vaccination. The prevalence of incomplete or not at all vaccination was computed as the ratio of children with incomplete or received no vaccination to the total number of children included in the study. However, fully vaccinated was defined as: a child aged 12–36 months who received the following vaccines: one dose of BCG, one dose of measles, two doses of rota, at least three doses of pentavalent, three doses of OPV and three doses of PCV. Partially vaccinated was defined as a child aged 12–36 months who received at least one dose of the above six vaccines. Antenatal care (ANC) was defined as women who received at least one maternal healthcare service during the pregnancy. Likewise, postnatal care (PNC) also defined as women who received at least one maternal health services within 48 hours after delivery by an appropriate health provider in the health facilities. Finally, formal education was also defined as study participants at least completed grade one or attending formal learning in the school. Epi-data V.3.1 was used for data entry, and data were exported to SPSS V.21 for analysis. Descriptive statistics were computed. Binary logistic regression model was used to identify the relationship between dependent (incomplete vaccination or not vaccinating) and independent variables. Those independent variables with p value <0.2 in the bivariable analysis in regard to the association with the dependent variable were included in the final multivariable analysis. In the binary logistic regression model, backward-stepwise multivariable analysis was used to elicit associated factors of incomplete vaccination or not vaccinating. In the final model, a significant association was declared at a p value <0.05, and finally, the results were presented in texts and tables with adjusted OR (AOR) and the corresponding 95% CI. Patients were not involved in this study. We are unable to disseminate the results of the research directly to study participants.

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

1. Mobile Health (mHealth) Applications: Develop and implement mobile applications that provide information and reminders about maternal health services, including antenatal care (ANC) and postnatal care (PNC) visits. These apps can also provide educational resources and connect women to healthcare providers.

2. Telemedicine Services: Establish telemedicine services that allow pregnant women in remote areas to consult with healthcare professionals through video calls or phone calls. This can help address the issue of limited access to healthcare facilities.

3. Community Health Workers: Train and deploy community health workers who can provide basic maternal health services, such as ANC and PNC visits, in underserved areas. These workers can also educate women about the importance of vaccination and help address any concerns or misconceptions.

4. Mobile Clinics: Set up mobile clinics that travel to remote areas to provide maternal health services, including vaccinations. This can help overcome geographical barriers and reach women who may not have easy access to healthcare facilities.

5. Public Awareness Campaigns: Launch public awareness campaigns to educate communities about the importance of maternal health services and vaccinations. These campaigns can use various media channels, such as radio, television, and social media, to reach a wide audience.

6. Strengthening Health Systems: Invest in improving the overall health system infrastructure, including healthcare facilities, equipment, and trained healthcare professionals. This can help ensure that maternal health services, including vaccinations, are readily available and accessible to all women.

It’s important to note that these are general recommendations and may need to be tailored to the specific context and needs of the communities in Dabat and Gondar districts, Northwest Ethiopia.
AI Innovations Description
Based on the research findings, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Strengthen Antenatal Care (ANC) and Postnatal Care (PNC) Services: The study found that the odds of incomplete or not at all vaccination were higher among mothers who had no ANC visit and no PNC visit. To improve access to maternal health, health systems should focus on improving ANC and PNC services. This can be done by increasing the availability and accessibility of these services, providing more effective advice on child immunization during ANC and PNC visits, and ensuring that mothers/caregivers are aware of the importance of these visits for their child’s vaccination.

2. Community-Based Interventions: Since the study was community-based, it is important to develop community-based interventions to improve access to maternal health. This can include training and empowering community health workers to provide education and support to mothers/caregivers regarding immunization and maternal health services. Community engagement and mobilization can also play a crucial role in raising awareness and addressing barriers to accessing maternal health services.

3. Integration of Immunization Services: Integrating immunization services with other maternal health services can help improve access. This can be done by ensuring that immunization services are available at ANC and PNC clinics, as well as other maternal health service delivery points. This integration can streamline the process for mothers/caregivers, making it easier for them to access both immunization and other maternal health services in one location.

4. Health Education and Communication: Effective health education and communication strategies should be developed to raise awareness about the importance of immunization and maternal health services. This can include community campaigns, use of local media, and targeted messaging to address misconceptions and myths related to immunization. Health education should also focus on the benefits of ANC and PNC visits for both the mother and the child.

5. Strengthening Health Systems: To improve access to maternal health, it is essential to strengthen health systems at all levels. This includes ensuring an adequate supply of vaccines, improving cold chain management, training healthcare providers on immunization practices, and addressing infrastructure and logistical challenges. Strengthening health systems will contribute to the overall improvement of maternal health services and access to immunization.

By implementing these recommendations, it is possible to develop innovative approaches that can improve access to maternal health and reduce vaccine-preventable diseases among children in low-resource settings like Ethiopia.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthen Antenatal Care (ANC) Services: Increase awareness and utilization of ANC services by providing education and counseling to pregnant women, promoting early and regular ANC visits, and improving the quality of care provided during ANC visits.

2. Enhance Postnatal Care (PNC) Services: Increase access to PNC services by ensuring that all women receive postnatal check-ups within 48 hours after delivery, providing comprehensive postnatal care including immunization counseling, and addressing any barriers to accessing PNC services.

3. Community Health Worker (CHW) Programs: Implement and expand CHW programs to reach remote and underserved areas, where access to maternal health services is limited. CHWs can provide education, counseling, and basic maternal health services, including immunization support.

4. Mobile Health (mHealth) Interventions: Utilize mobile technology to improve access to maternal health information and services. This can include sending reminders and educational messages to pregnant women and new mothers, facilitating appointment scheduling, and providing access to teleconsultations with healthcare providers.

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 the percentage of pregnant women receiving ANC visits, the percentage of women receiving PNC visits, and the percentage of children fully vaccinated.

2. Collect baseline data: Gather data on the current status of access to maternal health services and vaccination rates in the target population. This can be done through surveys, interviews, or analysis of existing data sources.

3. Define the intervention scenarios: Develop different scenarios based on the recommendations mentioned above. For each scenario, determine the expected changes in access to maternal health services and vaccination rates.

4. Simulate the impact: Use statistical modeling or simulation techniques to estimate the potential impact of each intervention scenario on the defined indicators. This can involve analyzing the data collected in step 2 and applying the changes expected from the intervention scenarios.

5. Evaluate the results: Compare the simulated outcomes of each intervention scenario to the baseline data to assess the potential impact on improving access to maternal health. Consider factors such as the magnitude of change, feasibility of implementation, and cost-effectiveness.

6. Refine and prioritize interventions: Based on the simulation results, identify the most effective and feasible interventions for improving access to maternal health. Consider the potential benefits, challenges, and resources required for each intervention.

7. Implement and monitor: Implement the selected interventions and closely monitor their implementation and impact. Continuously collect data to assess the actual changes in access to maternal health services and vaccination rates, and make adjustments as needed.

By following this methodology, policymakers and healthcare providers can make informed decisions on which interventions to prioritize and implement to improve access to maternal health.

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