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A reliable tool for assessment of acceptance of e-consultation service in hospitals: the modified e-consultation Technology Acceptance Model (TAM) questionnaire
Open accessAbstract
INTRODUCTION: Innovative approaches like e-consultation services are critical for improving access to healthcare and promoting equity, particularly in under-resourced settings. Despite their growing prominence, limited tools are available to assess healthcare professionals' acceptance and satisfaction with these services. This study aimed to validate the modified e-consultation TAM questionnaire as a reliable instrument for assessing physicians' perspectives on e-consultation service. METHODS: This study focuses exclusively on physicians receiving (not providing) e-consultation service within the Egyptian Ministry of Health and Population. The tool used for assessing their acceptance of the service consists of three sections: demographic data, items assessing perceived usefulness (PU) and perceived ease of use (PEU) of e-consultation, and questions addressing physicians' satisfaction, challenges, and suggestions to improve e-consultation services. The questionnaire was subjected to thorough validation, including face validity evaluated by an expert panel and construct validity which was assessed through factor analysis. RESULTS: The modified e-consultation TAM questionnaire demonstrated excellent internal reliability, with Cronbach's alpha coefficient exceeding 0.92 for both PU and PEU. Exploratory factor analysis identified two domains, PU and PEU, explaining 81.17% of the variance, with factor loadings ranging from 0.661 to 0.912. Confirmatory factor analysis (CFA) confirmed the two-factor model, with standardized factor loadings between 0.80 and 0.95, a Comparative Fit Index (CFI) of 0.95, and a Root Mean Square Error of Approximation (RMSEA) of 0.084. CONCLUSION: The modified e-consultation TAM questionnaire proves to be a reliable and valid tool for evaluating physicians' acceptance of and satisfaction with e-consultation service. This tool offers potential for future research and practical applications, providing valuable insights to improve the implementation of e-consultation services and inform strategies for advancing healthcare access and equity globally.
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“the questionnaire items were not newly developed in the present study but were adapted from established technology acceptance and digital health acceptance studies [49,119].”
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · cited 2×
“Later versions (TAM3, UTAUT) are more complex and comprehensive, suitable for diverse contexts [16, 27, 31, 32].”
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250
Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19)
Smith, A. C., Thomas, E., Snoswell, C. L., Haydon, H., Mehrotra, A., Clemensen, J., & Caffery, L. J. (2020) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x20916567 · Cited by 1,828
Telemedicine for Healthcare: Capabilities, Features, Barriers, and Applications
Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100117 · Cited by 1,638
Effects of Questionnaire Length on Participation and Indicators of Response Quality in a Web Survey
Galešić, M., & Bošnjak, M. (2009) · Public Opinion Quarterly · doi:10.1093/poq/nfp031 · Cited by 1,324
Chau, P. Y. K., & Hu, P. J. (2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045699 · Cited by 707
Use of Telehealth During the COVID-19 Pandemic: Scoping Review
Doraiswamy, S., Abraham, A., Mamtani, R., & Cheema, S. (2020) · Journal of Medical Internet Research · doi:10.2196/24087 · Cited by 698
Vimalananda, V. G., Gupte, G., Seraj, S. M., Orlander, J., Berlowitz, D., Fincke, B. G., & Simon, S. R. (2015) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15582108 · Cited by 437
Flagged first, then by citations
Research works printed but not linked: 5
- Kamal E, Aboelsaad IAF, El-Maradny YA, Ashmawy R, Gawish N, Selem AK, et al. An insight into the implementation, utilization, and evaluation of telemedicine e-consultation services in Egypt. Health Policy Techno. 2024;13(6): 100951. https://doi.org/10.1016/j.hlpt.2023.100951. · DOI
- Almutairi A, Alharbi S. Primary care physicians, perception and acceptance of telehealth in Buraidah, Saudi Arabia. J Res Medi Dent Sci. 2021;9(9):154–9. https://www.jrmds.in/articles/primary-care-physicians-perception-and-acceptance-of-telehealth-in-buraidah-saudi-arabia.pdf
- Lewis JR. Comparison of Four TAM Item Formats: effect of response option labels and order. J User Exp. 2019;14(4):224–36. https://uxpajournal.org/tam-formats-effect-response-labels-order/
- Brown JD. The Cronbach alpha reliability estimate. JALT Testing & Eval SIG Newsletter. 2002;6(1):17–8. https://teval.jalt.org/test/PDF/Brown13.pdf
- Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag Sci. 2000;46(2):186–204. https://doi.org/10.1287/mnsc46218611926. · DOI
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Bhadila, G. Y., Bahdila, D., Saber, N. O., & Alyafi, D. A. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1754136 · Cited by 2
Man, S. S., Wu, X., Chiu, K. T., Ma, Q., & Chan, A. H. S. (2026) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2026.2716566 · Cited by 1
Zhou, Z., Zhou, Y., Ouyang, B., Man, S. S., & Chan, A. H. S. (2026) · Healthcare · doi:10.3390/healthcare14131978
“Fourth, the questionnaire items were not newly developed in the present study but were adapted from established technology acceptance and digital health acceptance studies [49,119].”
Metadata
- Authors
- Ashmawy, R., Zeina, S., Kamal, E., Shelbaya, K., Gawish, N., Sharaf, S., Redwan, E. M., & Mehanna, A.
- Affiliations
- Ministry of Health and Population (EG)
- National Research Centre (EG)
- National Heart Institute (EG)
- King Abdulaziz University (SA)
- Alexandria University (EG)
- Corresponding author
- Ashmawy, Rasha
- ORCID
- Venue
- Journal of the Egyptian Public Health Association
- Published
- 2025-04-22
- Volume
- 100
- Issue
- 1
- Pages
- 6-6
- ISSN
- 0013-2446 (ISSN-L)
- 2090-262X
- PMC
- PMC12014876
- OpenAlex
- W4409666483
- Cited by
- 3
- References
- 26
- Citations by year
- 2026: 3
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of the Egyptian Public Health Association (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministry of Health and Population
- Alexandria University
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- e-consultation, technology acceptance model, questionnaire validation, perceived usefulness, perceived ease of use, physician satisfaction, physician acceptance
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