ArticleBMC medical informatics and decision making2020
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.
Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.
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Who cites it
52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review.BMJ health & care informatics · 2023Pooled it
- Exploring facilitators and barriers of the sustainable acceptance of e-health system solutions in Ethiopia: A systematic review.PloS one · 2023Pooled it
- Utilisation of electronic health record systems in clinical nursing practice in Ghana: predictors, benefits, and challenges.BMC nursing · 2026Article
- Physician-Patient Communication and Physicians' Acceptance of a Tailored Digital Health Information Service: Quantitative Online Survey.JMIR human factors · 2026Article
- Knowledge, Utilisation, and Challenges of Medical Doctors Using Picture Archiving and Communication Systems at a Tertiary Academic Hospital in the Eastern Cape, South Africa.Journal of imaging informatics in medicine · 2026Article
- Intention to use smartphone medical applications among patients with chronic disease in southwest Ethiopia: an extended UTAUT2 model approach.BMC medical informatics and decision making · 2026Article
- Factors Associated With the Usability and Adoption of Continuous Monitoring Devices With Deterioration Alerting Systems in Acute Hospital Non-ICU Settings: A Mixed Methods Study.Journal of nursing management · 2026Article
- Electronic medical record (EMR) pre-deployment assessment for adoption readiness, acceptability, and associated factors at Hiwot Fana comprehensive specialized university hospital.BMC medical informatics and decision making · 2025Article
- Relationship Between Fear of Coronavirus Disease 2019 and Patient Preferences for Medical Services in Ghana: A Cross-Sectional Study.Health science reports · 2025Article
- Factors influencing clinician performance post-electronic health record implementation: an empirical analysis in Moroccan hospitals.BMC health services research · 2025Article
- Intention to use eLearning-based continuing professional development and its predictors among healthcare professionals in Amhara region referral hospitals, Ethiopia, 2023: using modified UTAUT-2 model.BMC health services research · 2025Article
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- Implementation research logic model in the design and execution of eHealth innovations for maternal and newborn healthcare in Ethiopia.Health research policy and systems · 2025Article
- A modified UTAUT model for acceptance to use telemedicine services and its predictors among healthcare professionals at public hospitals in North Shewa Zone of Oromia Regional State, Ethiopia.Frontiers in digital health · 2025Article
- The impact of confidentiality and privacy concerns on behavioral intention to adopt electronic personal health records among chronic patients in southwest Ethiopia in 2023: an application of the UTAUT2 model.Frontiers in digital health · 2025Article
- Facilitator and Barrier to Health Information System Use from Health Professionals Perspective: A Scoping Review.Journal of multidisciplinary healthcare · 2025Review
- Intention to use telemonitoring for chronic illness management and its associated factors among nurses and physicians at public hospitals in Bahir Dar, northwest Ethiopia: using a modified UTAUT2 model.Frontiers in health services · 2025Article
- Intention to use personal health records and associated factors among healthcare providers in southwest Oromia region referral hospitals, Ethiopia: using the modified unified theory of acceptance and use technology 2 model.Frontiers in digital health · 2025Article
- Unlocking health insights: exploring intention to adopt district health information systems in Bahir Dar City, northwest Ethiopia.Frontiers in digital health · 2025Article
- Health Workers' Acceptance and Satisfaction on the Usability of the Digital Health Goods, in Kono District, Sierra Leone.Journal of multidisciplinary healthcare · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectronic 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.
objectiveThe 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 north-west, Ethiopia, 2019.
methodsInstitutional based cross-sectional explanatory study design was conducted from March to September among 420 health care providers working at three referral hospitals in north-west 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.
resultThe mean age of the study subjects was 32.4 years ±8.3 SD. More than 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). Performance expectancy was highly associated with intention to use EMRs.
conclusionGenerally, about 40 % of health care providers were scored above the mean of intention to use EMRs. Performance expectancy played a major role in determining health care providers' intention to use EMRs. The intention of health care providers to use EMRs was attributed by social influence, facilitating condition in the organization, effort expectancy, performance expectancy and computer literacy. Therefore, identifying necessary prerequisites before the actual implementation of EMRs will help to improve the implementation status.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.