Determinants of incomplete childhood immunization among children aged 12–23 months in Dabat district, Northwest Ethiopia: Unmatched case- control study

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Study Justification:
– Despite efforts to increase access to routine immunization, a significant number of children in low-resource countries, including Ethiopia, remain unvaccinated or under-vaccinated.
– The completion rate of routine childhood immunization in rural areas of Ethiopia has remained low for the past four decades.
– Limited evidence exists regarding the socioeconomic, maternal continuum care, and caregiver characteristics that affect child immunization in the study setting.
– This study aimed to identify the determinants of incomplete vaccination among children aged 12-23 months in Dabat district, Northwest Ethiopia.
Highlights:
– The study used a community-based unmatched case-control study design.
– The study included 132 cases (children aged 12-23 months who defaulted recommended vaccination) and 262 controls (children aged 12-23 months who completed recommended vaccination).
– Logistic regression analysis was used to identify the determinants of incomplete childhood vaccination.
– The statistically significant factors associated with incomplete vaccination were caregivers’ attitude towards vaccines, knowledge on the schedule of vaccination, place of delivery, and marital status.
– Home delivery, caregivers’ poor knowledge on the schedule of vaccination, caregivers’ negative perception towards vaccines, and unmarried marital status were predictors of incomplete vaccination.
Recommendations:
– Enhance full vaccination coverage by addressing vaccine-related safety inquiries in immunization health education programs.
– Provide targeted education and support to caregivers to improve their knowledge and attitudes towards vaccines.
– Strengthen postnatal care services to ensure that caregivers receive appropriate information and support regarding childhood immunization.
Key Role Players:
– Ministry of Health: Responsible for policy development, coordination, and implementation of immunization programs.
– District Health Office: Responsible for planning, coordination, and monitoring of immunization activities at the district level.
– Health Centers and Health Posts: Provide immunization services and play a crucial role in delivering vaccines to the community.
– Community Health Workers: Engage in community mobilization, education, and outreach activities to promote immunization.
– Non-Governmental Organizations (NGOs): Support immunization programs through advocacy, capacity building, and resource mobilization.
Cost Items for Planning Recommendations:
– Training and Capacity Building: Budget for training healthcare providers and community health workers on immunization education and counseling.
– Information, Education, and Communication (IEC) Materials: Allocate funds for the development and dissemination of educational materials on vaccines and immunization.
– Outreach and Mobilization Activities: Include costs for community engagement, awareness campaigns, and mobilization efforts to reach underserved populations.
– Monitoring and Evaluation: Set aside funds for monitoring and evaluating the impact of immunization programs and interventions.
– Infrastructure and Equipment: Consider budgeting for the improvement of health facilities, cold chain storage, and transportation systems for vaccines.
– Collaboration and Partnerships: Allocate resources for collaboration with NGOs, development partners, and other stakeholders to support immunization efforts.
Please note that the provided cost items are general suggestions and may vary based on the specific context and needs of the immunization program in Dabat district, Northwest Ethiopia.

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 unmatched case-control study, which is a robust design for identifying determinants of incomplete childhood immunization. The study includes a relatively large sample size of 132 cases and 262 controls, which enhances the statistical power. The study also uses logistic regression analysis to identify significant associations. However, the abstract lacks information on the representativeness of the sample and the generalizability of the findings. Additionally, the abstract does not provide information on the validity and reliability of the data collection tools. To improve the strength of the evidence, the authors could provide more details on the sampling method and the selection criteria for cases and controls. They could also include information on the validity and reliability of the data collection tools used in the study.

Background Despite the effort to increase access to routine immunization, majority of children in low-resource countries including Ethiopia are still either unvaccinated or under-vaccinated. In Ethiopia for the past four decades, the completion rate of routine childhood immunization remains low particularly in a rural area. In this study setting, evidence regarding the socioeconomic, maternal continuum care, and caregiver characteristics effect on child immunization is limited. Hence, this study aimed to identify the determinants of incomplete vaccination among children aged 12–23 months in Dabat district, Northwest Ethiopia. Methods A community-based unmatched case-control study design was employed among 132 cases and 262 controls. Multi-stage sampling method was used to recruit eligible study participants. Logistic regression analysis was used to identify the determinants to children’s incomplete vaccination. Results Caregivers’ attitude towards vaccine (AOR: 6.1, 95% CI 3.4 to 11.1), knowledge on the schedule of vaccination (AOR: 4, 95% CI 2.2 to 7.1), Place of delivery (AOR: 2.7, 95% CI 1.3 to 5.5), and marital status (AOR: 2.36, 95% CI 1.22 to 4.56) were statistically significant association with incomplete childhood vaccination. Conclusion Home delivery, caregivers’ poor knowledge on the schedule of vaccination, caregivers’ negative perception towards vaccine and unmarried marital status were predictors to incomplete vaccination. Therefore, to enhance full vaccination coverage, immunization health education program needs to address vaccine related safety enquiries in a meaningful

A Community based unmatched case control study design was conducted with ratio of case to control 1:2 in Dabat district, from April to May 2021. Dabat district found in Northwest Ethiopia. It has 4 urban, and 32 rural kebeles (the smallest unit of administration); 145,458 total population, and 17,112 children age 12–23 months. The district has six health centers, one primary hospital and 35 health posts and more than 650 health care providers. All children aged 12–23 months with their caretakers and who had taken at least one dose of routine vaccination were considered as a source population. Study populations were children aged 12–23 months with mothers/caregivers residing in randomly selected kebele’s of the district in northwest Ethiopia. Cases were children aged 12–23 months and defaulted recommended vaccination before their 1st birthday. In contrast, those children aged 12–23 months and completed the recommended vaccination before their 1st birthday were considered as controls. Caregivers who were critically ill, and unable to communicate were excluded from the study. To estimate the sample size; 95% confidence level, 80% power, 2 design effect, case to control ratio of 1:2 and 10% of non-response rate assumptions were used. Moreover, to estimate the sample size all significantly associated factors in previous studies were considered [12, 15–20]. Finally, using independent variable not attending postnatal care (PNC), 394 (132 cases and 262 controls) sample size was estimated. Multi-stage sampling technique was employed to select cases and controls. Initially, the kebeles in the district were stratified into urban and rural. Six rural and two urban kebeles were randomly selected by a lottery method from each stratum. To identify all eligible cases and controls health facility the EPI registration books were used. Then, proportional allocation of simple size employed to each selected kebeles based on number of eligible children. Finally, to get study participants from selected kebele simple random sampling method were employed. A child who received ten basic vaccines (one dose of BCG, three doses each of the DPT-HepB-Hib (pentavalent), three doses of polio vaccines, three doses of PCV, two doses of Rota vaccine, and one dose of measles vaccine before her/his 1st birthday) was considered as completely vaccinated [21]. A child between 12–23 months old who missed at least one dose of the ten vaccines before their 1st birthday [17]. To assess the knowledge of caregivers were used four items’ questions. Caregivers who score greater than 50% were categorized as good knowledge [22]. Six perception related questions were asked using Likert scale items. Each item has five response options. Caregivers who score 70% and above were categorized as positive attitude [22]. Six misconception related questions were asked using Likert scale tool. Each item has five response options. Caregivers who score 70% and above were categorized as having misconception [22]. To collect data, pretested, structured interviewer administered questionnaires were used. A questionnaire was developed through reviewing different literatures [10–13, 15–19, 21–23]. The questionnaire initially developed in English and translated to local Amharic language, and then translated back to English language to check consistency. The questionnaire has three sections; socio-demographic characteristics, obstetric history, and health service-related variables. Six Bsc nurses and two public health officers were involved on data collection and supervision activities. Caregivers who were not present at home during the first day of data collection were revisited in the subsequent days until the final day of data collection. To ensure quality of data, training was given for data collectors and supervisor on data collection technique. The Pretest was done on 5% (20) of sample size at Wegera district and some minor modifications were made after pretest. The data collection process was supervised by supervisor and principal investigator daily. At the end of each data collection day, the principal investigator and supervisors checked the completeness of questionnaires daily. Data were checked for completeness and consistency before entered into EpiData version 4.6 software and then exported to SPSS version 20 for further analysis. Data were cleaned for missing value, outlier, and inconsistency before analysis. Descriptive statistics such as means, median, proportion, percentage, and interquartile range were computed and presented in text, table and graph. To assess the association of covariates and dependent variables bi-variable logistic regression analysis was performed. A p-value of less than 0.05 and Adjusted Odds Ratios (AOR) with a 95% confidence interval (CI) were used to report significantly associated variables. Moreover, Hosmer and Lemeshow goodness fitted to check model fitness and variance inflation factor (VIF) to assess multi-collinearity were also performed. To estimate household wealth status principal component analysis was done. Finally, the wealth status was ranked into three quantiles. Ethical clearance was obtained from ethics committee of the University of Gondar, College of Medicine and Health Science, Institute of Public Health. Permission letter to conduct the study was also be taken from Dabat Woreda Health office. Before data collection, adequate information was given on study procedure, data storage, benefit, privacy concern and voluntary participation. Verbal informed consent was obtained from study participants before data collection. In the Informed consent the purpose of study, risk and benefit of the study, procedures, interview taking time, and the right of participants rights were explained. To ensure study participants confidentiality and privacy, the data was stored in separate computer and the access was restricted using password. Furthermore, the personal name and other identification of the participants were not recorded on the data collection format.

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, postnatal care, and general health tips. These apps can be easily accessible to caregivers, even in remote areas, and can help improve knowledge and awareness.

2. Community Health Workers: Train and deploy community health workers who can provide education and support to mothers and caregivers in rural areas. These workers can conduct home visits, provide counseling, and assist with vaccination registration and follow-up.

3. Telemedicine: Establish telemedicine services that allow mothers and caregivers to consult with healthcare professionals remotely. This can help address barriers to accessing healthcare, such as distance and transportation issues, and provide timely advice and guidance.

4. Health Education Programs: Develop and implement comprehensive health education programs that target mothers, caregivers, and the community at large. These programs can focus on topics such as the importance of vaccination, safe delivery practices, postnatal care, and nutrition during pregnancy.

5. Strengthening Health Infrastructure: Invest in improving and expanding health facilities, particularly in rural areas, to ensure that mothers have access to quality maternal healthcare services. This includes increasing the number of health centers, hospitals, and skilled healthcare providers.

6. Public-Private Partnerships: Foster collaborations between the public and private sectors to improve access to maternal health services. This can involve leveraging private sector resources, expertise, and networks to enhance service delivery and reach underserved populations.

7. Maternal Health Financing: Develop innovative financing mechanisms, such as health insurance schemes or conditional cash transfer programs, to reduce financial barriers to accessing maternal healthcare services. This can help ensure that cost does not prevent mothers from seeking necessary care.

8. Maternal Health Information Systems: Implement robust information systems that capture and analyze data on maternal health indicators, including vaccination coverage rates. This can help identify gaps and monitor progress towards improving access to maternal healthcare.

9. Partnerships with Non-Governmental Organizations (NGOs): Collaborate with NGOs that specialize in maternal and child health to leverage their expertise, resources, and networks. NGOs can play a crucial role in implementing and scaling up innovative interventions.

10. Maternal Health Advocacy: Advocate for policy changes and increased investment in maternal health at the national and international levels. This can help create an enabling environment for innovation and ensure sustained commitment to improving access to maternal healthcare.
AI Innovations Description
The study titled “Determinants of incomplete childhood immunization among children aged 12–23 months in Dabat district, Northwest Ethiopia: Unmatched case-control study” aimed to identify the factors contributing to incomplete vaccination among children in a rural area of Ethiopia. The study used a community-based unmatched case-control study design, with a ratio of 1 case to 2 controls. The study was conducted in Dabat district, which is located in Northwest Ethiopia and has a population of 145,458, including 17,112 children aged 12–23 months. The district has six health centers, one primary hospital, and 35 health posts, with more than 650 healthcare providers.

The study included children aged 12–23 months who had taken at least one dose of routine vaccination. Cases were defined as children who had defaulted on recommended vaccination before their 1st birthday, while controls were children who had completed the recommended vaccination before their 1st birthday. Caregivers who were critically ill or unable to communicate were excluded from the study.

To estimate the sample size, assumptions such as a 95% confidence level, 80% power, a design effect of 2, a case to control ratio of 1:2, and a 10% non-response rate were used. The sample size was estimated based on previous studies that identified significant factors associated with incomplete vaccination. The study used a multi-stage sampling technique, stratifying the kebeles (administrative units) into urban and rural areas. Six rural and two urban kebeles were randomly selected, and eligible study participants were recruited using proportional allocation based on the number of eligible children. Simple random sampling was then used to select study participants from the selected kebeles.

The study considered a child to be completely vaccinated if they had received ten basic vaccines before their 1st birthday, including one dose of BCG, three doses each of the DPT-HepB-Hib (pentavalent) vaccine, three doses of polio vaccines, three doses of PCV, two doses of Rota vaccine, and one dose of measles vaccine. A child aged 12–23 months who had missed at least one dose of these vaccines before their 1st birthday was considered incompletely vaccinated.

Data were collected using pretested, structured interviewer-administered questionnaires. The questionnaires included sections on socio-demographic characteristics, obstetric history, and health service-related variables. The knowledge of caregivers was assessed using four items, with caregivers scoring greater than 50% categorized as having good knowledge. Attitude towards vaccination was assessed using Likert scale items, with caregivers scoring 70% and above categorized as having a positive attitude. Misconceptions related to vaccination were also assessed using Likert scale items, with caregivers scoring 70% and above categorized as having misconceptions.

Data collection was conducted by trained data collectors and supervisors, and a pretest was conducted on 5% of the sample size to ensure questionnaire validity. Data were entered into EpiData software and then exported to SPSS for analysis. Descriptive statistics were computed, and bi-variable logistic regression analysis was performed to assess the association between covariates and the dependent variable. Adjusted odds ratios (AOR) with a 95% confidence interval (CI) were used to report significantly associated variables. Model fitness was assessed using the Hosmer and Lemeshow goodness-of-fit test, and multi-collinearity was assessed using the variance inflation factor (VIF). Household wealth status was estimated using principal component analysis and ranked into three quantiles.

Ethical clearance was obtained from the ethics committee of the University of Gondar, and permission was obtained from the Dabat Woreda Health office. Verbal informed consent was obtained from study participants, and measures were taken to ensure confidentiality and privacy.

In conclusion, the study identified factors associated with incomplete childhood immunization in a rural area of Ethiopia. The findings can be used to inform interventions and strategies aimed at improving access to maternal health and increasing vaccination coverage.
AI Innovations Methodology
The study titled “Determinants of incomplete childhood immunization among children aged 12–23 months in Dabat district, Northwest Ethiopia: Unmatched case-control study” aimed to identify the factors contributing to incomplete vaccination among children in the study area. The study used a community-based unmatched case-control study design, with a ratio of 1 case to 2 controls.

The study was conducted in Dabat district, located in Northwest Ethiopia. The district has a total population of 145,458, with 17,112 children aged 12–23 months. It has six health centers, one primary hospital, and 35 health posts, with more than 650 healthcare providers.

The study population consisted of children aged 12–23 months and their mothers/caregivers residing in randomly selected kebeles (administrative units) of the district. Cases were defined as children who had defaulted on recommended vaccination before their 1st birthday, while controls were children who had completed the recommended vaccination before their 1st birthday. Caregivers who were critically ill or unable to communicate were excluded from the study.

To estimate the sample size, assumptions such as a 95% confidence level, 80% power, a design effect of 2, a case to control ratio of 1:2, and a 10% non-response rate were used. Previous studies’ significantly associated factors were also considered. The final sample size was estimated to be 394 (132 cases and 262 controls).

Multi-stage sampling technique was employed to select cases and controls. The kebeles in the district were stratified into urban and rural, and six rural and two urban kebeles were randomly selected. The EPI (Expanded Program on Immunization) registration books were used to identify eligible cases and controls. Proportional allocation of sample size was done for each selected kebele based on the number of eligible children. Simple random sampling method was then used to select study participants from the selected kebeles.

The study used specific criteria to define complete vaccination and incomplete vaccination. A child who received all ten basic vaccines (BCG, DPT-HepB-Hib, polio, PCV, Rota, and measles) before their 1st birthday was considered completely vaccinated. A child aged 12–23 months who missed at least one dose of the ten vaccines before their 1st birthday was considered incompletely vaccinated.

Data were collected using pretested, structured interviewer-administered questionnaires. The questionnaire included sections on socio-demographic characteristics, obstetric history, and health service-related variables. The data collection process involved trained data collectors and supervisors. Quality assurance measures, such as training, pretesting, and daily supervision, were implemented to ensure data quality.

Descriptive statistics were computed to summarize the data, and bi-variable logistic regression analysis was performed to assess the association between covariates and the dependent variable. Adjusted Odds Ratios (AOR) with a 95% confidence interval (CI) were used to report significantly associated variables. Model fitness and multi-collinearity were also assessed.

To estimate household wealth status, principal component analysis was conducted, and the wealth status was ranked into three quantiles.

Ethical clearance was obtained from the ethics committee of the University of Gondar, College of Medicine and Health Science, Institute of Public Health. Permission was also obtained from the Dabat Woreda Health office. Verbal informed consent was obtained from study participants, and measures were taken to ensure confidentiality and privacy.

In conclusion, this study aimed to identify the determinants of incomplete childhood immunization in Dabat district, Northwest Ethiopia. The study used a community-based unmatched case-control study design and collected data through structured questionnaires. The findings of this study can contribute to improving vaccination coverage and addressing the factors that contribute to incomplete vaccination among children in the study area.

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