ArticleBMC medical informatics and decision making2015
Modeling antecedents of electronic medical record system implementation success in low-resource setting hospitals.
Article in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 101 citations in OpenAlex.
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Exploring facilitators and barriers of the sustainable acceptance of e-health system solutions in Ethiopia: A systematic review.PloS one · 2023Pooled it
- Predicting Electronic Health Record Usability: Scoping Review of Adoption Models, Metrics, and Future Directions.JMIR human factors · 2026Article
- Bridging the data-power paradox: a conceptual-empirical analysis of solar-powered digital health systems in low-resource settings.Frontiers in digital health · 2026Article
- The Role of Information Technology in Strengthening Vital Statistics in Public Health Institutions in Sana'a, Yemen.Risk management and healthcare policy · 2026Article
- Developing a new pragmatic tool for assessing contextual fit and feasibility of evidence-based interventions towards effective implementation in global health.BMJ global health · 2025Article
- The Impact of Provider's Quality of Information System on User Satisfaction and Perceived Net Benefits in Malaysian Public Hospitals.The Malaysian journal of medical sciences : MJMS · 2025Article
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- Factors influencing clinician performance post-electronic health record implementation: an empirical analysis in Moroccan hospitals.BMC health services research · 2025Article
- 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
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- Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting.BMC medical informatics and decision making · 2024Article
- Analyzing health service employees' intention to use e-health systems in southwest Ethiopia: using UTAUT-2 model.BMC health services research · 2024Article
- An integration of expectation confirmation model and information systems success model to explore the factors affecting the continuous intention to utilise virtual classrooms.Scientific reports · 2024Article
- Article
- Data management practice of health extension workers and associated factors in Central Gondar Zone, northwest Ethiopia.Frontiers in digital health · 2024Article
- Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM.Frontiers in public health · 2024Article
- Determinants of Continuous Usage Intention in Community Group Buying Platform in China: Based on the Information System Success Model and the Expanded Technology Acceptance Model.Behavioral sciences (Basel, Switzerland) · 2023Article
- User Satisfaction of Using Electronic Medical Record System and Its Associated Factors among Healthcare Professionals in Ethiopia: A Cross-Sectional Study.BioMed research international · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the increasing implementation of Electronic Medical Record Systems (EMR) in developing countries, there is a growing need to identify antecedents of EMR success to measure and predict the level of adoption before costly implementation. However, less evidence is available about EMR success in the context of low-resource setting implementations. Therefore, this study aims to fill this gap by examining the constructs and relationships of the widely used DeLone and MacLean (D&M) information system success model to determine whether it can be applied to measure EMR success in those settings.
methodsA quantitative cross sectional study design using self-administered questionnaires was used to collect data from 384 health professionals working in five governmental hospitals in Ethiopia. The hospitals use a comprehensive EMR system since three years. Descriptive and structural equation modeling methods were applied to describe and validate the extent of relationship of constructs and mediating effects.
resultsThe findings of the structural equation modeling shows that system quality has significant influence on EMR use (β = 0.32, P < 0.05) and user satisfaction (β = 0.53, P < 0.01); information quality has significant influence on EMR use (β = 0.44, P < 0.05) and user satisfaction (β = 0.48, P < 0.01) and service quality has strong significant influence on EMR use (β = 0.36, P < 0.05) and user satisfaction (β = 0.56, P < 0.01). User satisfaction has significant influence on EMR use (β = 0.41, P < 0.05) but the effect of EMR use on user satisfaction was not significant. Both EMR use and user satisfaction have significant influence on perceived net-benefit (β = 0.31, P < 0.01; β = 0.60, P < 0.01), respectively. Additionally, computer literacy was found to be a mediating factor in the relationship between service quality and EMR use (P < 0.05) as well as user satisfaction (P < 0.01). Among all the constructs, user satisfaction showed the strongest effect on perceived net-benefit of health professionals.
conclusionEMR implementers and managers in developing countries are in urgent need of implementation models to design proper implementation strategies. In this study, the constructs and relationships depicted in the updated D&M model were found to be applicable to assess the success of EMR in low resource settings. Additionally, computer literacy was found to be a mediating factor in EMR use and user satisfaction of health professionals. Hence, EMR implementers and managers in those settings should give priority in improving service quality of the hospitals like technical support and infrastructure; providing continuous basic computer trainings to health professionals; and give attention to the system and information quality of the systems they want to implement.
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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.