Previously submitted to: JMIR Medical Informatics (no longer under consideration since Jan 11, 2020)
Date Submitted: Dec 4, 2019
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
«intention to use» electronic medical record system 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 is becoming the main system with the vision of giving quality service by improving data handling and communication in healthcare setting. Even though EMR implementation in developing countries increasing exponentially, only few of them are successfully implemented. Among the many factors, «intention to use» EMRs by health care provider is crucial for successful implementation and adoption of EMRs.
Objective:
The aim of this study was to assess health care provider’s intention to use and its predictors towards Electronic Medical Record systems (EMRs) at three referral hospitals in north-west, Ethiopia, 2019.
Methods:
Institutional based cross-sectional quantitative study design was conducted from January to June, 2019. A total of 420 health care providers working at three referral hospitals in north-west Ethiopia were included. Data were analyzed using structural equation model (SEM)., Simple and multiple SEM were used to describe the study objectives and 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.
Results:
The mean age of the study subjects were 32.4 years ±8.3 SD. Nearly two-third 293(69.8%) of the participants were Male. Among 420 health care providers, only 167 (39.8%) were scored above the mean of «intention to use» EMRs. Factors positively associated with «intention to use» EMRs were performance expectancy (β=0.39,p<0.001), effort expectancy (β=0.24,p<0.001),social influence (β=0.18,p<0.001),facilitating condition (β=0.23,p<0.001), and computer literacy (β=0.08,p<0.001). Among five influencing predictors, performance expectancy was highly associated with «intention to use» EMRs. The result of UTAUT2 model may be used to inform planning, decision-making, and evaluation of EMR implementations before actual utilization of EMRs.
Conclusions:
Among 420 health care providers, 167 (39.8%) respondents were scored above the mean of intention use. Performance expectancy played a major role in determining health care providers’ intention to use EMRs.
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