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Vaccination assessments using the Demographic and Health Survey, 2005–2018: a scoping review

BMJ open, 2020-12, Vol.10 (12), p.e039693-e039693 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2020-039693 ;PMID: 33268412

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  • Title:
    Vaccination assessments using the Demographic and Health Survey, 2005–2018: a scoping review
  • Author: Shenton, Luke M ; Wagner, Abram L ; Ji, Mengdi ; Carlson, Bradley F ; Boulton, Matthew L
  • Subjects: Child ; Demography ; Ethiopia ; Global Health ; Health surveys ; Humans ; Immunization ; India ; Low income groups ; Maternal & child health ; Measles ; Nigeria ; Pakistan ; Pediatrics ; Poliomyelitis ; Population ; Public health ; Rubella ; Systematic review ; Tetanus ; Vaccination ; Vaccines ; Viruses ; Whooping cough
  • Is Part Of: BMJ open, 2020-12, Vol.10 (12), p.e039693-e039693
  • Description: ObjectiveTo characterise studies which have used Demographic and Health Survey (DHS) datasets to evaluate vaccination status.DesignScoping review.Data sourcesElectronic databases including PubMed, EBSCOhost and POPLINE, from 2005 to 2018.Study selectionAll English studies with vaccination status as the outcome and the use of DHS data.Data extractionStudies were selected using a predetermined list of eligibility criteria and data were extracted independently by two authors. Data related to the study population, the outcome of interest (vaccination) and commonly seen predictors were extracted.ResultsA total of 125 articles were identified for inclusion in the review. The number of countries covered by individual studies varied widely (1–86), with the most published papers using data from India, Nigeria, Pakistan and Ethiopia. Many different definitions of full vaccination were used although the majority used a traditional schedule recommended in the WHO’s Expanded Programme on Immunisation. We found studies analysed a wide variety of predictors, but the most common were maternal education, wealth, urbanicity and child’s sex. Most commonly reported predictors had consistent relationships with the vaccination outcome, outside of sibling composition.ConclusionsResearchers make frequent use of the DHS dataset to describe vaccination patterns within one or more countries. A clearer idea of past use of DHS can inform the development of more rigorous studies in the future. Researchers should carefully consider whether a variable needs to be included in the multivariable model, or if there are mediating relationships across predictor variables.
  • Publisher: England: BMJ Publishing Group LTD
  • Language: English
  • Identifier: ISSN: 2044-6055
    EISSN: 2044-6055
    DOI: 10.1136/bmjopen-2020-039693
    PMID: 33268412
  • Source: ProQuest One Psychology
    BMJ Journals (Open Access)
    PubMed Central (Open access)
    DOAJ Directory of Open Access Journals
    Geneva Foundation Free Medical Journals at publisher websites
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