ArticleBMC health services research2025
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.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- E-learning utilization and associated factors among obstetrics and gynecology residents and consultants in Ethiopian teaching hospitals.BMC medical education · 2026Article
- E-Learning Acceptance among Oncology Healthcare Professionals in Europe.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- AI in Fracture Detection: A Cross-Disciplinary Analysis of Physician Acceptance Using the UTAUT Model.Diagnostics (Basel, Switzerland) · 2025Article
- Intention to use picture archiving and communication system and its predictors among physicians and nurses at specialized teaching hospitals in Amhara region, Northwest Ethiopia.SAGE open medicine · 2024Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundContinuing Professional Development (CPD) is provided through in-service programs organized based on competency development and lifelong learning for healthcare professionals to stay fit with the required knowledge and skills. However, healthcare professionals' financial constraints and tight schedules sending them away from the workplace for CPD training is a challenge. eLearning is becoming the best solution to overcome those barriers and create accessible, efficient, flexible, and convenient professional development. However, evidence is limited on health professionals' intention to use eLearning-based CPD and its predictors. Hence this study aimed to assess healthcare professionals' intention to use eLearning-based CPD and its predictors in Amhara region referral hospitals, in Ethiopia.
methodsA cross-sectional study was conducted from March 28 to April 28, 2023. A total of 976 healthcare professionals participated in this study. Proportional allocation and simple random sampling were used to select participants for the study. UTAUT2 model was applied to develop a theoretical framework. A structured self-administered questionnaire was used and a 5% pretest was performed. Data were entered into Epi data 4.6 and exported to SPSS 26 for descriptive analysis. AMOS 23 SEM was also used to describe and assess the degree and significance of relationships between variables.
resultsAbout 51.8% (506/976) (95% CI: 48.7-55.0) of participants have the intention to use eLearning for CPD. Performance expectancy (β = 0.233, p-value < 0.01), effort expectancy (β = 0.082, p-value < 0.05), facilitating condition (β = 0.102, p-value < 0.05), hedonic motivation (β = 0.199, P-value < 0.001), habit (β = 0.473, P-value < 0.001), and computer literacy (β = 0.116, p-value < 0.001) had a positive relationship with intention to use eLearning based CPD. Age and gender were also a moderator of the habit of using eLearning based on CPD.
conclusionand recommendation. Overall, healthcare professionals' intention to use eLearning-based CPD was found low. Performance expectancy, effort expectancy, facilitating condition, hedonic motivation, habit, and computer literacy had a significantly positive influence on the intention to use eLearning-based CPD. The development of a user-friendly eLearning-based CPD development that meets user expectations can enhance the intention to use.
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