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Individual- and Community-Level Determinants for Complete Vaccination among Children Aged 12-23 Months in Ethiopia: A Multilevel Analysis

ABSTRACT: Background Childhood vaccination continues to increase dramatically. In spite of the success of immunization programs to date, millions of children continued to die each year, and sub-Saharan Africa (SSA) accounted for the world's highest neonatal deaths. Childhood vaccination was designed as one of the most effective ways to reduce child mortalities from fatal vaccine-preventable diseases. Therefore, this study is aimed at investigating the individual- and community-level determinants of childhood complete vaccination in Ethiopia. Methods A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS). A total weighted sample of 1,984 children aged 12-23 months was included for analysis. Considering the hierarchical nature of EDHS data, a two-level multilevel analysis for assessing individual- and community-level determinants of childhood complete vaccination was done. The intraclass correlation coefficient (ICC), Median Odds Ratio (MOR), Proportional Change in Variance (PCV), and deviance (-2LL) were used for model comparison and for checking model fitness. Variables with p value < 0.2 in the bivariable multilevel analysis were considered for the multivariable multilevel analysis. In the multivariable multilevel logistic regression analysis, the Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) was reported to declare significant determinants of complete childhood vaccination. Results Overall complete vaccination status among children aged 12-23 months was 39% (95% CI: 36.8, 41.2). In the multilevel analysis, secondary or above educated mothers (AOR = 2.48; 95% CI: 1.41, 4.36), richest wealth status (AOR = 2.24; 95% CI: 1.16, 4.32), ?four ANC visits (AOR = 2.77; 95% CI: 1.90-4.02), employed mothers (AOR = 1.66; 95% CI: 1.26, 2.18), urban residence (AOR = 1.84; 95% CI: 1.00, 3.51), and children in city administration (AOR = 2.66; 9% CI: 1.53, 4.62) were positively associated with vaccination status. On the other hand, children with a female household head (AOR = 0.68; 95% CI: 0.48, 0.96) were negatively associated. Conclusion Overall, childhood full vaccination status was low compared with the WHO targets. Maternal education, wealth status, ANC visit, maternal occupation, residence, region, and sex of household head were significant predictors of childhood complete vaccination. As a result, it is better to design a compensation mechanism to the costs associated with childhood vaccination for the poor households and strengthen awareness creation for rural residents to improve the access, utilization, and continuum of vaccination service.

SUBMITTER: Debie A

PROVIDER: S-EPMC7545462 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Project description:BackgroundComplete childhood vaccination considerably aids in the reduction of morbidity and mortality from vaccine-preventable childhood diseases. Understanding the geographical disparity of complete basic childhood vaccination and Identifying associated factors is vital to designing appropriate interventions. This study aimed to assess the spatial distribution and associated factors of complete basic childhood vaccination among children aged 12-23 months in Ethiopia.MethodsA two-stage stratified sampling technique was used based on the 2019 Ethiopian mini demographic and health survey data. A total weighted sample of 1,028 children was included in the analysis. ArcGIS version 10.8 software was used to visualize the spatial distribution of complete basic childhood vaccination. The Bernoulli-based model was used to detect significant clusters of areas using SaTScan version 9.6 software. To identify associated factors, multilevel logistic regression analyses were used, and all variables with a p-value less than 0.05 were reported as statistically significant predictors.ResultsComplete basic childhood vaccination among children aged 12-23 months had a significant variation in Ethiopia (Moran's I = 0.276, p<0.001). The spatial scan analysis identified the most likely significant primary clusters with low complete basic childhood vaccination coverage in the Somali region's Afder, Liben, Shabelle, and Nogobe zones; the Southern Nation Nationality and Peoples Region's (SNNPR) Gedeo and Sidama zones; and the Oromia region's Bale and Guji zones. The second significant cluster was found in the Afar region's zones 1, 4, and 5, as well as the northern Somali region's Siti zone. In the multivariable multilevel analysis, maternal age 20-24, 25-29, 35-39, and 40-44 years, delivery at a health facility, four or more antenatal care (ANC) visits, orthodox religion fellowship, maternal primary education, Muslim religion fellowship, living in the Afar, Somalia, and Oromia regions, and living in rural areas were all found to be significantly associated with complete basic childhood vaccination.ConclusionA geographically significant variation of complete basic childhood vaccination was observed. Maternal age, maternal education, religion, place of delivery, ANC visit, region, and residence were significantly associated with complete basic childhood vaccination. Developing immunization campaigns targeting areas that had low basic vaccination coverage and designing healthcare programs that can motivate facility-based delivery and ANC follow-up is recommended.

Project description:In nations like Ethiopia, vaccination rates are low despite being one of the most effective public health treatments to protect infants from common infectious diseases that can be prevented by immunization. In Worebabo District, the reasons of the underutilization of vaccination programs are poorly understood. Therefore, this study aimed to identify determinants of incomplete childhood vaccination in the study setting. Community based unmatched case-control study was carried out among 441 mothers of children aged 12–23 months old (147 cases and 294 controls) in Worebabo District, Ethiopia from March 1—April 30, 2020. Using a multistage sampling process, mothers were chosen. Health professionals were trained to collect data using a pre-tested standardized questionnaire. Data entered into Epi Info version 7.2 and put through statistical analysis in SPSS version 23. Binary logistic regression was performed to determine the odds ratio with a 95%CL. A p-value of under 0.05 was estimated statistically significant. The study found that older moms (>35 years old) were more likely than younger mothers to fail to properly immunize their children (AOR = 2.4, 95% CI: 1.09, 5.28). In addition, mothers with incomplete vaccinations had lower knowledge of the benefits of vaccination (AOR = 2.02, 95% CI: 1.20, 3.39), Negative attitudes towards immunization (AOR = 4.9, 95% CI: 2.82, 8.49), less access to prenatal care (AOR = 3.68, 95% CI: 1.58, 8.54), home delivery (AOR = 5.47, 95% CI: 2.58)., 11.58), absent home visits (AOR = 3.56, 95% CI: 1.69, 7.48), and longer time to reach vaccination site (>1 h) (AOR = 10.07)., 95% CI: 1.75, 57.79) were found associated with mother incomplete vaccination of the child. Mothers being older age, less access to antenatal care services, place of home delivery, longer time to reach vaccination site, negative attitude and poor knowledge towards the benefit of vaccination were associated with mothers’ incomplete vaccination of the child. Therefore, health professionals should inform and counsel mothers about the advantages of childhood immunization as well as the consequences of incomplete or not vaccination of children at the time of the facility visit and by community health workers during the routine home visit.

Project description:BACKGROUND:Vaccination is one of the most cost-effective means of public health interventions to prevent childhood deaths from infectious diseases. Although several fragmented studies have been conducted concerning full vaccination coverage among children aged 12-23 months in Ethiopia, the pooled estimate has not been determined so far. Therefore, this systematic review and meta-analysis aims to estimate the pooled prevalence of full vaccination coverage among children aged 12-23 months in Ethiopian. METHODS:To find potentially relevant studies, we systematically searched five major databases (i.e., PubMed/MEDLINE, CINAHL, EMBASE, Google Scholar, and Science Direct). This review included community based cross-sectional studies reported in English language; had good quality, and published from the 1st of January 2000 to the 20th of November 2019. Data were analyzed using Stata™ Version 14.1 software. The pooled estimates with 95% confidence intervals (CIs) were presented using forest plots. Higgins and Egger's tests were used to assess heterogeneity and publication bias, respectively. Primary estimates were pooled using a random effects meta-analysis model. RESULTS:Of the total of 851 identified articles 21 studies involving 12,094 children met the inclusion criteria and were included in this meta-analysis. The included studies sample size ranged from 173 to 923. The lowest proportion of full vaccination coverage was reported from Afar Region [21% (95% CI: 18, 24%)], whereas the highest proportion of full vaccination coverage was reported from Amhara Region [73% (95% CI: 67, 79%)]. The overall prevalence of full vaccination coverage among children in Ethiopia was 60% (95% CI: 51, 69%). CONCLUSIONS:Our finding suggested that six in every 10 children in Ethiopia were fully vaccinated. However, this finding is much lower than the World Health Organization recommended rate. Moreover, high regional variations in terms of full vaccination coverage across the country was observed. Therefore, a special attention should be given to improve the overall childhood vaccination coverage.

Project description:IntroductionDespite Ethiopia's policy intention to provide recommended vaccination services to underprivileged populations, inequity in polio immunisation persists.ObjectiveThis study examined inequity and trends in polio immunisation and determinant factors among children aged 12-23 months in Ethiopia between 2000 and 2019.MethodsCross-sectional data from 2000, 2005, 2011, 2016 and 2019 Ethiopian demographic and health surveys were analysed with the updated version of the WHO's Health Equity Assessment Toolkit software. Six standard equity measures: equity gaps, equity ratios, population attributable risk, population attributable fraction, slope index of inequality and relative index of inequality were used. Datasets were analysed and disaggregated by the five equality stratifiers: economic status, education, place of residence, sex of the child and regions. Multilevel logistic regression analysis was used to identify determinant factors.ResultsPolio immunisation coverage was increased from 34.5% (2000) to 60.0% (2019). The wealth index-related inequity, in coverage of polio immunisation between quintiles 5 and 1, was 20 percentage points for most surveys. The population attributable risk and population attributable fraction measure in 2011 indicate that the national polio immunisation coverage in that year could have been improved by nearly 36 and 81 percentage points, respectively, if absolute and relative wealth-driven inequity, respectively, had been avoided. The absolute difference between Addis Ababa and Afar Region was 74 percentage points in 2000 and 60 percentage points in 2019. In multilevel analysis result, individual-level factors like wealth index, maternal education antenatal care and place of delivery showed statistical significance.ConclusionAlthough polio immunisation coverage gradually increased over time, in the 20-year survey periods, still 40% of children remained unvaccinated. Inequities in coverage by wealth, educational status, urban-rural residence and administrative regions persisted. Increasing service coverage and improving equitable access to immunisations services may narrow the existing inequity gaps.

Project description:ObjectiveDespite those efforts in expanded programs of immunization, nearly one fifth of children in developing countries miss out basic vaccines. Moreover, many children who started vaccination fail to complete immunization.Identifying associated factorswhich is scarce in the study area, is crucial for interventions. This study assessed full-immunization and associated factors among children aged 12-23 months in Somali region, Eastern Ethiopia.MethodsA community-based cross-sectional study design was conducted from October 1-30, 2018, in selected rural and urban kebeles in Somali regionamong 612 children. Cluster sampling was employed and data was collected using structured questionnaire. Full-immunization was measured by maternal recall and vaccination card.Data entry and analysis was done by EpiData3.1 and SPSSversion.20 respectively. Binary logistic regression with Bivariate and Multivariable model was usedto identify predictors of full-immunization. Odd ratios were computed and P-value <0.05 was considered as statistically significant.ResultsBased on maternal recall plus vaccination card 249(41.4%) of children were completed immunization, while vaccination only by card was 87(29.7%). Only 238(39.5%) of participants had good knowledge about vaccination. Not knowing to come back for next visits 197(55.8%) were the major reason for dropout. Residing in urban (AOR = 2.0, 95%CI: 1.0, 3.9),primary educated mothers(AOR = 2.2, 95%CI: 1.0, 5.0), married mothers (AOR = 4.2, 95%CI:1.0, 18), higher average monthly income (AOR = 2.5, 95%CI 1.1, 5.2)and delivered at health facilities (AOR = 3.8, 95%CI 1.9, 7.3)were significantly associated with full-immunization.ConclusionCoverage of full immunization was found to be low compared to the targets set in the Global Vaccine Action Plan(2011-2020).Two-third of the participants has poor knowledge about vaccination. Urban residence, mother education, higher family income, male child and institutional delivery were factors. This study suggests that awareness creation, behaviour change on vaccination and enhancing utilization of maternal health service including delivery service, should be stressed.

Project description:IntroductionChildhood vaccination is a cost-effective public health intervention to reduce child mortality and morbidity. But, vaccination coverage remains low, and previous similar studies have not focused on machine learning algorithms to predict childhood vaccination. Therefore, knowledge extraction, association rule formulation, and discovering insights from hidden patterns in vaccination data are limited. Therefore, this study aimed to predict childhood vaccination among children aged 12-23 months using the best machine learning algorithm.MethodsA cross-sectional study design with a two-stage sampling technique was used. A total of 1617 samples of living children aged 12-23 months were used from the 2016 Ethiopian Demographic and Health Survey dataset. The data was pre-processed, and 70% and 30% of the observations were used for training, and evaluating the model, respectively. Eight machine learning algorithms were included for consideration of model building and comparison. All the included algorithms were evaluated using confusion matrix elements. The synthetic minority oversampling technique was used for imbalanced data management. Informational gain value was used to select important attributes to predict childhood vaccination. The If/ then logical association was used to generate rules based on relationships among attributes, and Weka version 3.8.6 software was used to perform all the prediction analyses.ResultsPART was the first best machine learning algorithm to predict childhood vaccination with 95.53% accuracy. J48, multilayer perceptron, and random forest models were the consecutively best machine learning algorithms to predict childhood vaccination with 89.24%, 87.20%, and 82.37% accuracy, respectively. ANC visits, institutional delivery, health facility visits, higher education, and being rich were the top five attributes to predict childhood vaccination. A total of seven rules were generated that could jointly determine the magnitude of childhood vaccination. Of these, if wealth status = 3 (Rich), adequate ANC visits = 1 (yes), and residency = 2 (Urban), then the probability of childhood vaccination would be 86.73%.ConclusionsThe PART, J48, multilayer perceptron, and random forest algorithms were important algorithms for predicting childhood vaccination. The findings would provide insight into childhood vaccination and serve as a framework for further studies. Strengthening mothers' ANC visits, institutional delivery, improving maternal education, and creating income opportunities for mothers could be important interventions to enhance childhood vaccination.

Project description:Background Traditional measurement of vaccine coverage can mask the magnitude of timely uptake of vaccine. Hence, the optimal measurement of timeliness is unclear due to variations in vaccine schedule among countries in the world. In Ethiopia, Oral Polio Virus (OPV), Pentavalent, Tetanus, H. influenza type B, Hepatitis B, and Pneumonia-Conjugate Vaccine (PCV) are basic vaccines which are taken at birth, six weeks, ten weeks, and fourteen weeks respectively. Despite its importance, information is scarce about on-time vaccination in the study area. Therefore, this study aimed to assess prevalence and factors associated with on-time vaccination among children of age 12–23 months in Boricha district, Sidama Ethiopia, in 2019. Methods A community based survey was conducted in Boricha district, Sidama region Ethiopia from January 1–30 in 2019. Study participants were selected using stratified multistage sampling technique. Kebeles were stratified based on residence. First, Kebeles were selected using random sampling. Then, systematic random sampling was employed to reach each household. Data were collected using structured and interviewer administered questionnaire. Logistic regression analysis was employed to identify factors associated with timely vaccination. Then, independent variables with p-value < 0.25 in COR were fitted further into multivariate logistic regression analysis model to control the possible cofounders. AOR with 95% CI and p-value < 0.05 was computed and reported as the level of statistical significance. Results From a total of 614 study participants, only 609 study participants have responded to questions completely making a response rate of 99.2%. Prevalence of timeliness of vaccination was 26.8% (95% CI: 25, 28) in this study. Factors like children of women with formal education (AOR = 5.3, 95%CI,2.7, 10.4), absence of antenatal care visit (AOR = 4.2,95%CI, 1.8,9.8), home delivery (AOR = 6.2,95%CI,4.0,9.3), lack of postnatal care (AOR = 3.7,95%CI,1.1,13.3), and lack of information about when vaccines completion date (AOR = 2.0, 95% CI,1.13,3.8) were factors influences timely vaccination among children of age 12–23 months. Conclusion Prevalence of on-time vaccination among children of age 12–23 months is lower than national threshold. Therefore, sustained health education on vaccination schedule and reminder strategies should be designed and implemented. Furthermore, maternal and child health care services should be enhanced and coordinated to improve on-time uptake of vaccine. Supplementary Information The online version contains supplementary material available at 10.1186/s12887-023-04234-4.

Project description:Background:Dietary diversity (DD) is among the core infant and young child feeding (IYCF) indicators. However, in many developing countries, meeting the minimum standards of DD is challenging and information concerning its determinants is limited. Objective:To assess the level and predictors of DD among children aged 6-23 months in rural communities of Aleta Wondo district, Sidama zone, Southern Ethiopia. Method:A community-based cross-sectional study was conducted in rural Aleta Wondo in February 2016. Multistage sampling was employed to recruit 502 children aged 6-23 months. DD was assessed by asking the mother whether the index child had received food from the standard seven food groups in the previous day, without setting minimum intake restrictions. Ultimately, the dietary diversity score (DDS) was rated on a 7-point scale, and it was modeled using linear regression analysis. The outputs are presented using adjusted regression coefficients (?). Results:Only 12.0% (95% confidence interval: 9.0-15.0%) of the children met the minimum recommended DD, receiving from four or more from seven food groups. The analysis identified eleven significant predictors of DDS. As the maternal knowledge of IYCF increases by a unit, DDS raised by 0.21 units (p = 0.004). Unit increment in the husband's involvement in the IYCF score was linked with 0.32 units improvement in DDS (p = 0.016). One unit change in the ordinal category of household food insecurity was associated with 0.13 reduction in DDS (p = 0.001). Similarly, household wealth index (??=?0.54, p = 0.041), father's literacy (??=?0.48, p = 0.002), ownership of home garden (??=?0.38, p = 0.01), mother's participation in cooking demonstrations (??=?0.19, p = 0.036), and child age in months (??=?0.04, p = 0.001) were all positively associated with DDS. Furthermore, receiving IYCF information via mass media (??=?0.04, p = 0.001) and during antenatal (??=?0.91, p = 0.022) and postnatal checkups (??=?0.21, p = 0.043) were positive predictors of DDS. Conclusions:Promoting the socioeconomic status of the community, strengthening of home gardening, involving husbands in IYCF, and enhancing maternal knowledge of IYCF may advance DD.

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Individual- and Community-Level Determinants for Complete Vaccination among Children Aged 12-23 Months in Ethiopia: A Multilevel Analysis

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