Table 1

Baseline characteristics of the studies used to assess the pooled prevalence of neonatal hyperbilirubinaemia in sub-Saharan Africa

Author/publication yearCountryRegionStudy designTotal sample sizeFinal included sample sizePrevalence
(%)
Response rateContributions
Lake et al 20197EthiopiaTigrayCross-sectional20920978 (37.3)100For estimating pooled prevalence and associated factories
Kassa et al 20189EthiopiaAddis AbabaCross-sectional356356160 (44.9)100For estimating pooled prevalence and associated factories
Onyearugha et al 20118NigeriaSoutheast NigeriaCross-sectional457457160 (35)100For estimating the pooled prevalence
Osuorah et al 20186NigeriaIbadanCross-sectional23223279 (34.1)100For estimating the pooled prevalence
Diala et al 201810NigeriacosmopolitanCohort11061106159 (15.3)100For estimating pooled prevalence and associated factories
Badejoko et al 201416NigeriaAwolowo UniversityCohort644639129 (20)99.3For estimating pooled prevalence and associated factories
Emokpae et al 201611NigeriaLagosCross-sectional522952291153 (22.1)100For estimating pooled prevalence and associated factories
Osuorah et al 20186NigeriaEnugu State UniversityCohort19201920480 (25)100For estimating pooled prevalence and associated factories
Mutombo et al 20144CongoCongoCross-sectional24102410120 (4.9)100For estimating the pooled prevalence
Wolf et al 19975ZimbabweanZimbabweanCohort1201105091.7For estimating the pooled prevalence
Woimo TT et al (2015)SuadnCase control243243100For estimating the pooled Associated factories
Farouk et al (2018) (2016)17NigeriaKanoCase control551551100For estimating the pooled prevalence