Systematic review of multilevel models involving contextual characteristics in African demographic research

Clifford Odimegwu (), Marifa Muchemwa () and Joshua O. Akinyemi ()
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Clifford Odimegwu: University of the Witwatersrand
Marifa Muchemwa: University of the Witwatersrand
Joshua O. Akinyemi: University of Ibadan

Journal of Population Research, 2023, vol. 40, issue 2, No 5, 29 pages

Abstract: Abstract Multilevel modelling has become a popular analytical approach for many demographic and health outcomes. The objective of this paper is to systematically review studies which used multilevel modelling in demographic research in Africa in terms of the outcomes analysed, common findings, theoretical rationale, questions addressed, methodological approaches, study design and data sources. The review was conducted by searching electronic databases such as Ebsco hosts, Science Direct, ProQuest, Scopus, PubMed and Google scholar for articles published between 2010 and 2021. Search terms such as neighbourhood, social, ecological and environmental context were used. The systematic review consisted of 35 articles, with 34 being peer-reviewed journal articles and 1 technical report. Based on the systematic review community-level factors are important in explaining various demographic outcomes. The community-level factors such as distance to the health facility, geographical region, place of residence, high illiteracy rates and the availability of maternal antenatal care services influenced several child health outcomes. The interpretation of results in the reviewed studies mainly focused on fixed effects rather than random effects. It is observed that data on cultural practices, values and beliefs, are needed to enrich the robust evidence generated from multilevel models.

Keywords: Demographic research; Modelling; Multilevel; Africa (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12546-023-09305-y

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