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      Timeliness of Childhood Vaccinations in Kampala Uganda: A Community-Based Cross-Sectional Study

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          Abstract

          Background

          Child survival is dependent on several factors including high vaccination coverage. Timely receipt of vaccines ensures optimal immune response to the vaccines. Yet timeliness is not usually emphasized in estimating population immunity. In addition to examining timeliness of the recommended Expanded Programme for Immunisation (EPI) vaccines, this paper identifies predictors of untimely vaccination among children aged 10 to 23 months in Kampala.

          Methods

          In addition to the household survey interview questions, additional data sources for variables included data collection of child's weight and length. Vaccination dates were obtained from child health cards. Timeliness of vaccinations were assessed with Kaplan–Meier time-to-event analysis for each vaccine based on the following time ranges (lowest–highest target age): BCG (birth–8 weeks), polio 0 (birth–4 weeks), three polio and three pentavalent vaccines (4 weeks–2 months; 8 weeks–4 months; 12 weeks–6 months) and measles vaccine (38 weeks–12 months). Cox regression analysis was used to identify factors associated with vaccination timeliness.

          Results

          About half of 821 children received all vaccines within the recommended time ranges (45.6%; 95% CI 39.8–51.2). Timely receipt of vaccinations was lowest for measles (67.5%; 95% CI 60.5–73.8) and highest for BCG vaccine (92.7%: 95% CI 88.1–95.6). For measles, 10.7% (95% CI 6.8–16.4) of the vaccinations were administered earlier than the recommended time. Vaccinations that were not received within the recommended age ranges were associated with increasing number of children per woman (adjusted hazard ratio (AHR); 1.84, 95% CI 1.29–2.64), non-delivery at health facilities (AHR 1.58, 95% CI 1.02–2.46), being unmarried (AHR 1.49, 95% CI 1.15–1.94) or being in the lowest wealth quintile (AHR 1.38, 95% CI 1.11–1.72).

          Conclusions

          Strategies to improve vaccination practices among the poorest, single, multiparous women and among mothers who do not deliver at health facilities are necessary to improve timeliness of vaccinations.

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          Most cited references23

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          Estimating wealth effects without expenditure data--or tears: an application to educational enrollments in states of India.

          Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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            Physical Status: The Use and Interpretation of Antropometry

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              A simplified general method for cluster-sample surveys of health in developing countries.

              General guidelines are presented for the use of cluster-sample surveys for health surveys in developing countries. The emphasis is on methods which can be used by practitioners with little statistical expertise and no background in sampling. A simple self-weighting design is used, based on that used by the World Health Organization's Expanded Programme on Immunization (EPI). Topics covered include sample design, methods of random selection of areas and households, sample-size calculation and the estimation of proportions, ratios and means with standard errors appropriate to the design. Extensions are discussed, including stratification and multiple stages of selection. Particular attention is paid to allowing for the structure of the survey in estimating sample size, using the design effect and the rate of homogeneity. Guidance is given on possible values for these parameters. A spreadsheet is included for the calculation of standard errors.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                23 April 2012
                : 7
                : 4
                : e35432
                Affiliations
                [1 ]School of Public Health, Makerere University College of Health Sciences, Kampala Uganda
                [2 ]Centre for International Health, University of Bergen, Bergen, Norway
                [3 ]Department of Child and Adolescent Psychiatry, Haukeland University Hospital, Bergen, Norway
                Laboratory of Malaria Immunology and Vaccinology, United States of America
                Author notes

                Conceived and designed the experiments: JNB IMSE LTF TT FN. Performed the experiments: JNB IMSE TT FN. Analyzed the data: JNB IMSE FM LTF HW TT FN. Contributed reagents/materials/analysis tools: JNB IMSE FM LTF HW TT FN. Wrote the paper: JNB IMSE FM LTF HW TT FN.

                Article
                PONE-D-12-01285
                10.1371/journal.pone.0035432
                3335141
                22539972
                e9c663cd-0e1a-4c98-9ec4-c0a101183995
                Babirye et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 5 January 2012
                : 16 March 2012
                Page count
                Pages: 6
                Categories
                Research Article
                Medicine
                Clinical Immunology
                Immunity
                Vaccination
                Clinical Research Design
                Cross-Sectional Studies
                Epidemiology
                Epidemiological Methods
                Survey Methods
                Non-Clinical Medicine
                Health Care Policy
                Child and Adolescent Health Policy
                Health Education and Awareness
                Health Informatics
                Health Services Administration and Management
                Health Services Research
                Pediatrics
                Public Health
                Child Health
                Immunizations
                Preventive Medicine

                Uncategorized
                Uncategorized

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