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. 2020 Dec 2;10(12):e039693.
doi: 10.1136/bmjopen-2020-039693.

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

Luke M Shenton #  1 , Abram L Wagner #  2 , Mengdi Ji  1 , Bradley F Carlson  1 , Matthew L Boulton  1   3
Affiliations

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

Luke M Shenton et al. BMJ Open. .

Abstract

Objective: To characterise studies which have used Demographic and Health Survey (DHS) datasets to evaluate vaccination status.

Design: Scoping review.

Data sources: Electronic databases including PubMed, EBSCOhost and POPLINE, from 2005 to 2018.

Study selection: All English studies with vaccination status as the outcome and the use of DHS data.

Data extraction: Studies 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.

Results: A 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.

Conclusions: Researchers 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.

Keywords: international health services; paediatric infectious disease & immunisation; public health.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Diagram of studies’ selection into a scoping review of vaccination studies using the Demographic and Health Surveys.
Figure 2
Figure 2
Map of countries by the number of published studies using Demographic and Health Survey (DHS) datasets. Shading corresponds to number of studies using DHS data from only one country; hash marks indicate a study using multiple countries.
Figure 3
Figure 3
Commonly reported predictors of vaccination status used in studies using the Demographic and Health Survey.
See this image and copyright information in PMC

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