ArticleBMC medical informatics and decision making2021
Users' perception on factors contributing to electronic medical records systems use: a focus group discussion study in healthcare facilities setting in Kenya.
Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Acceptability of ambulatory surgery provided in freestanding ambulatory surgical centers and its associated factors among surgical healthcare providers in Uganda.Surgical endoscopy · 2026Article
- Investigating Strategies for Sustaining Modern Health Information Systems for Enhanced Care Delivery in Fragile Resource-Constrained Settings Through Electronic Medical Record Implementation in Haiti: Qualitative Study.Online journal of public health informatics · 2026Article
- Maturity assessment of KenyaEMR: advancing digital health solutions through continuous improvement in Kenya.BMC health services research · 2026Article
- Article
- Evaluating the knowledge and usage of digital health tools in rural Oyo State, Nigeria: a cross-sectional study of healthcare professionals and residents.BMC public health · 2025Article
- Factors influencing the availability and use of electronic medical records systems in public health facilities in Uganda: a cross-sectional assessment.BMC medical informatics and decision making · 2025Article
- Perception and barriers to electronic medical record use among physicians and nurses in General Hospitals in Lagos State.African health sciences · 2025Article
- Increasing Utilization of Standardized Tools for Measurement-Based Care in the Management of Generalized Anxiety Disorder.Global journal on quality and safety in healthcare · 2025Article
- Missed opportunities for digital health data use in healthcare decision-making: A cross-sectional digital health landscape assessment in Homa Bay county, Kenya.PLOS digital health · 2025Article
- Insights into healthcare workers' perceptions of electronic medical record system utilization: a cross-sectional study in Mafeteng district, Lesotho.BMC medical informatics and decision making · 2025Article
- Facilitators and Barriers to the Implementation of Digital Health Technologies in Hospital Settings in Lower- and Middle-Income Countries Since the Onset of the COVID-19 Pandemic: Scoping Review.Journal of medical Internet research · 2025Article
- Strengthening health information systems and inherent statistical outputs for improved malaria control and interventions in western Kenya.Frontiers in epidemiology · 2025Review
- Electronic medical record systems data use in decision-making and associated factors among health managers at public primary health facilities, Dodoma region: a cross-sectional analytical study.Frontiers in digital health · 2023Article
- An Assessment of Success Factors and Challenges in Implementation of Electronic Medical Record System in Referral Hospital in Northern Tanzania.The East African health research journal · 2023Article
- Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectronic medical records systems (EMRs) adoption in healthcare to facilitate work processes have become common in many countries. Although EMRs are associated with quality patient care, patient safety, and cost reduction, their adoption rates are comparatively low. Understanding factors associated with the use of the implemented EMRs are critical for advancing successful implementations and scale-up sustainable initiatives. The aim of this study was to explore end users' perceptions and experiences on factors facilitating and hindering EMRs use in healthcare facilities in Kenya, a low- and middle-income country.
methodsTwo focus group discussions were conducted with EMRs users (n = 20) each representing a healthcare facility determined by the performance of the EMRs implementation. Content analysis was performed on the transcribed data and relevant themes derived.
resultsSix thematic categories for both facilitators and barriers emerged, and these related to (1) system functionalities; (2) training; (3) technical support; (4) human factors; (5) infrastructure, and (6) EMRs operation mode. The identified facilitators included: easiness of use and learning of the system complemented by EMRs upgrades, efficiency of EMRs in patient data management, responsive information technology (IT) and collegial support, and user training. The identified barriers included: frequent power blackouts, inadequate computers, retrospective data entry EMRs operation mode, lack of continuous training on system upgrades, and delayed IT support.
conclusionsUsers generally believed that the EMRs improved the work process, with multiple factors identified as facilitators and barriers to their use. Most users perceived system functionalities and training as motivators to EMRs use, while infrastructural issues posed as the greatest barrier. No specific EMRs use facilitators and/or barriers could be attributed to facility performance levels. Continuous evaluations are necessary to assess improvements of the identified factors as well as determine emerging issues.
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