Kirubel Biruk Shiferaw|Eden Abetu Mehari
Modeling predictors of acceptance and use of electronic medical record system in a resource limited setting: Using modified UTAUT model
Debre Markos University|University of Gondar
growing application electronic medical record systems nonindustrialized nations marked important area interest determine factors associated acceptance use systems studies done area yet sufficient fully understand antecedents resource limited settings aim study introduce modified utaut model show applicability assess acceptance use electronic medical record emr systems resource limited settings institutional based crosssectional study conducted assess acceptance emr system among potential frontline users doctors nurses three selected health facilities descriptive analysis performed describe characteristics participants using structural equation modeling sem explain extent relationship among latent variables total 423 participants 956 405 responded jun 14 august 28 2018 nine participants data excluded outliers majority participants male 649 257 participants work experience less five years 527 209 constructs exhibited acceptable level reliability validity c cr 07 ave 05 although selfefficacy surprisingly insignificant effect participants attitude use emr system performance expectancy social influence effort expectancy demonstrated significant influence 0278 p 001 0397 p 001 0124 p 05 respectively actual use emr system directly significantly influenced selfefficacy effort expectancy facilitating condition intention use 0701 p 001 0145 p 05 0125 p 05 0539 p 05 respectively 402 variance intention use emr system 585 variance emr use explained model could helpful determining factors associated emr acceptance use