Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: using unified theory of acceptance and use technology 2(UTAUT2) model

Abstract

Background: Electronic Medical Records (EMRs) are systems to store patient information like medical histories, test results, and medications electronically. It helps to give quality service by improving data handling and communication in healthcare setting. EMR implementation in developing countries is increasing exponentially. But, only few of them are successfully implemented. Intention to use EMRs by health care provider is crucial for successful implementation and adoption of EMRs. However, intention of health care providers to use EMR in Ethiopia is unknown. Objective: The aim of this study was to assess health care provider's intention to use and its predictors towards Electronic Medical Record systems at three referral hospitals in northwest , Ethiopia, 2019. Methods: Institutional based cross-sectional explanatory study design was conducted from March to September among 420 health care providers working at three referral hospitals in northwest Ethiopia. Data were analyzed using structural equation model (SEM). Simple and multiple SEM were used to assess the determinants of health care providers intention to use EMRs. Critical ratio and standardized coefficients were used to measure the association of dependent and independent variables, 95% confidence intervals and P-value were calculated to evaluate statistical significance. Qualitative data was analyzed using thematic analysis.

Health Professionals’ Perspectives on Electronic Medical Record Infusion and Individual Performance: Model Development and Questionnaire Survey Study

“…O’Donnell et al [ 55 ] investigated primary care physicians’ attitudes toward EMR adoption and proposed a clinical adoption framework to understand the disparate performance among health care institutions in EMR implementation. Some studies have explored EMR adoption based on technological evaluation theories, namely the theory of planned behavior and the unified theory of acceptance and use of technology (UTAUT) [ 56 - 58 ]. Ahmed et al [ 56 ] investigated predicators of intention to use EMR based on the expanded UTAUT model (UTAUT2).…”

The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia

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Barriers for Using Electronic Health Records (EHRs) by Nurses in Qatar: A Cross Sectional Study

“…Moreover, the results of this study indicate that age may influence the ability in using EHR. The younger nurses tend to be more skilled than the older nurses in the use of EHR [24]. An assumption is that younger nurses are more exposed to information technology, giving them more confidence in using the system [25].…”