Andrés Santiago Cisneros-Barahona, Luis Marqués-Molías, Nicolay Samaniego-Erazo, Catalina Mejía-Granizo, Gabriela De la Cruz-Fernández
Multivariate data analysis: Validation of an instrument for the evaluation of teaching digital competence
F1000Research
studies nigeria elsewhere subsaharan africa ssa explored factors influencing usage intermittent preventive treatment malaria pregnancy iptp studies however model theorybased provides less satisfactory guidance malaria control programming study fills knowledge gap adapting andersens behavioral model health care use iptp usage nigeria study adopted crosssectional design utilized secondary data extracted 2018 nigeria demographic health survey ndhs weighted sample 4772 women given birth past year preceding survey analyzed outcome variable usage iptp dichotomized optimal otherwise explanatory variables cut across individual community levels divided predisposing enabling need factors line theoretical constructs andersen model two multilevel mixedeffects logistic regression models fitted identify factors influenced optimal usage iptp analyses performed using stata 14 statistical significance set 5 realised level optimal iptp usage 218 factors either predispose enable pregnant women take optimal doses iptp maternal education employed autonomous healthcare health insurance enrolment partner education receiving antenatal care public health facilities rural residence resident northern geopolitical zones community literacy level community perception consequences malaria two significant need factors affecting optimal usage iptp timing first antenatal care visit sleeping mosquito bed nets optimal usage iptp low among pregnant women nigeria need devise additional public health educational programs promoting iptp usage formation advocacy communication social mobilisation acsm every ward local government areas particularly rural northern parts country addition health planners adopt andersen model assessing key determinants iptp usage among childbearing women nigeria