The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians
Abstract
Physicians' acceptance of telemedicine constitutes a prerequisite for its diffusion on a national scale. Based upon the Theory of Interpersonal Behavior, this study was aimed at assessing the predictors of physicians' intention to use telemedicine in their clinical practice. All of the physicians involved in the RQTE, the extended provincial telemedicine network of Quebec (Canada) were mailed a questionnaire to identify the psychosocial determinants of their intention to adopt telemedicine. Confirmatory factor analysis (CFA) was performed to assess the measurement model and structural equation modelling (SEM) was applied to test the theoretical model. The adapted theoretical model explained 81% (P<0.001) of variance in physicians' intention to use telehealth. The main predictors of intentions were a composite normative factor, comprising personal as well as social norms (beta=1.08; P<0.001) and self identity (beta=-0.33; P<0.001). Thus, physicians who perceived professional and social responsibilities regarding adoption of telehealth in their clinical practice had stronger intention to use this technology. However, it is likely that personal identity had a suppression effect in the regression equation, indicating that physicians' intention to use telemedicine was better predicted if their self-perception as telemedicine users was considered. These results have several implications at the theoretical and practical levels that are discussed in this paper.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Few have done this kind of beliefs elicitation work with respect to health IT [70, 72, 76, 96, 102], and none to our knowledge have revised TAM based on such work.”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [76]
Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
(1998) · Cited by 36,049
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Kemp, F. (2003) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.1046/j.1467-9884.2003.t01-2-00383_4.x · Cited by 9,294
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Tufte, E. R., Cohen, J., & Cohen, P. (1979) · Journal of the American Statistical Association · doi:10.2307/2286442 · Cited by 5,214
The self and social behavior in differing cultural contexts.
Triandis, H. C. (1989) · Psychological Review · doi:10.1037/0033-295x.96.3.506 · Cited by 5,019
The Theory of Planned Behaviour
Conner, M. T., & McMillan, B. (2004) · Research Explorer (The University of Manchester) · Cited by 4,462
Book Review: Structural Equation Modeling: Concepts, Issues, and Applications
Rigdon, E. E., & Hoyle, R. H. (1997) · Journal of Marketing Research · doi:10.2307/3151904 · Cited by 4,088
(1995) · Cited by 4,008
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814
The Theory of Planned Behavior: A Review of its Applications to Health-Related Behaviors
Godin, G., & Kok, G. (1996) · American Journal of Health Promotion · doi:10.4278/0890-1171-11.2.87 · Cited by 3,185
Self-citationExamining the technology acceptance model using physician acceptance of telemedicine technology
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518247 · Cited by 1,951
Readings in attitude theory and measurement
Jahoda, M., & Fishbein, M. (1968) · British Journal of Sociology · doi:10.2307/588703 · Cited by 1,287
Use of Structure Coefficients in Published Multiple Regression Articles: Β Is Not Enough
Courville, T., & Thompson, B. (2001) · Educational and Psychological Measurement · doi:10.1177/0013164401612006 · Cited by 460
Suppressor Variables in Path Models: Definitions and Interpretations
MAASSEN, G. H., & BAKKER, A. B. (2001) · Sociological Methods & Research · doi:10.1177/0049124101030002004 · Cited by 407
Ybarra, O., & Trafimow, D. (1998) · Personality and Social Psychology Bulletin · doi:10.1177/0146167298244003 · Cited by 270
Cross‐cultural model testing: toward a solution of the etic‐emic dilemma
Davidson, A. R., Jaccard, J. J., Triandis, H. C., Morales, M. L., & Díaz‐Guerrero, R. (1976) · International Journal of Psychology · doi:10.1080/00207597608247343 · Cited by 247
On the Occurrence of Standardized Regression Coefficients Greater Than One
Deegan, J. (1978) · Educational and Psychological Measurement · doi:10.1177/001316447803800404 · Cited by 227
Determinants of EIS use: Testing a behavioral model
Bergeron, F., Raymond, L., Rivard, S., & Gara, M.-F. (1995) · Decision Support Systems · doi:10.1016/0167-9236(94)00007-f · Cited by 173
Theory of user acceptance of information technologies: an examination of health care professionals
Succi, M. J., & Walter, Z. D. (2003) · Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers · doi:10.1109/hicss.1999.773013 · Cited by 145
The Theory of Planned Behavior: Some Measurement Issues Concerning Belief‐Based Variables
Gagné, C., & Godin, G. (2000) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2000.tb02431.x · Cited by 128
Self-citation"A Telemedicine Primer: Understanding the Issues"
Tangalos, E. G., & Tangalos, E. G. (1996) · Telemedicine Journal · doi:10.1089/tmj.1.1996.2.331 · Cited by 108
PARE, G., & ELAM, J. J. (1995) · Behaviour & Information Technology · doi:10.1080/01449299508914635 · Cited by 84
Physician acceptance of telemedicine technology: an empirical investigation.
Hu, P. J., & Chau, P. Y. K. (1999) · PubMed · Cited by 81
Telemedicine adoption by different groups of physicians
Croteau, A., & Vieru, D. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2002.994121 · Cited by 80
Physician Participation in Research Surveys
Donaldson, G. W., Moinpour, C. M., Bush, N. E., Chapko, M. K., Jocom, J., Siadak, M. F., Nielsen-Stoeck, M., Bradshaw, J. M., Bichindaritz, I., & Sullivan, K. M. (1999) · Evaluation & the Health Professions · doi:10.1177/01632789922034392 · Cited by 60
Investigation of factors affecting healthcare organization's adoption of telemedicine technology
Hu, P. J., Chau, P. Y. K., & Sheng, O. R. L. (2005) · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.1109/hicss.2000.926799 · Cited by 48
The Triandis model for the study of health and illness behavior
Facione, N. C. (1993) · Advances in Nursing Science · doi:10.1097/00012272-199303000-00007 · Cited by 40
Internal structure of a measure of self-efficacy in physical activity among high school students
Dwyer, J. J. M., Allison, K. R., & Makin, S. R. (1998) · Social Science & Medicine · doi:10.1016/s0277-9536(97)10045-4 · Cited by 39
Prediction of intern attendance at a seminar‐based training programme: a behavioural intention model
Boots, R. J., & Treloar, C. (2000) · Medical Education · doi:10.1046/j.1365-2923.2000.00567.x · Cited by 19
Creation of professional networks: an emergent model using telemedicine as a case
Tanriverdi̇, H., & Venkatraman, N. V. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.1999.773025 · Cited by 15
Robustness of a model of exercise
Hays, R. D. (1989) · Journal of Behavioral Medicine · doi:10.1007/bf00844828 · Cited by 10
Research works printed but not linked: 1
- H.C. Triandis, Values, attitudes and interpersonal behaviour, in: M.M. Page. (Ed.), Nebraska Symposium on Motivation, 1979: Beliefs, attitudes and values, University of Nebraska Press, Lincoln, 1980.
Cited by
Sorted by citations
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
Godin, G., Bélanger-Gravel, A., Eccles, M., & Grimshaw, J. (2008) · Implementation Science · doi:10.1186/1748-5908-3-36 · Cited by 1,096
Self-citationMobile computing acceptance factors in the healthcare industry: a structural equation model
Wu, J.-H., Wang, S.-C., & Lin, L.-M. (2007) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.06.006 · Cited by 603
Using a modified technology acceptance model in hospitals
AGGELIDIS, V, & CHATZOGLOU, P. (2009) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.06.006 · Cited by 553
Technology Acceptance among Physicians: A New Take on TAM
Yarbrough, A. K., & Smith, T. B. (2007) · Medical Care Research and Review · doi:10.1177/1077558707305942 · Cited by 482
Metadata
- Authors
- Gagnon, M.-P., Godin, G., Gagné, C., Fortin, J.-P., Lamothe, L., Reinharz, D., & Cloutier, A.
- Affiliations
- Université Laval (CA)
- Université de Montréal (CA)
- Corresponding author
- Gagnon, Marie-Pierre
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2003-09
- Volume
- 71
- Issue
- 2-3
- Pages
- 103-115
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2095058980
- Cited by
- 304
- References
- 33
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 12 · 2023: 21 · 2022: 18 · 2021: 8 · 2020: 10 · 2019: 13 · 2018: 11 · 2017: 18 · 2016: 14 · 2015: 12 · 2014: 21 · 2013: 18 · 2012: 24
- FWCI
- 7.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- 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 › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Keywords
- telehealth adoption, physicians, intention to use, social norms, personal norms, self-identity, technology acceptance, telemedicine
- MeSH terms
- Adult, Attitude of Health Personnel, Attitude to Computers, Diffusion of Innovation, Factor Analysis, Statistical, Female, Humans, Male, Middle Aged, Models, Theoretical, Physicians, Psychometrics, Quebec, Surveys and Questionnaires, Self Concept, Telemedicine, Intention
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review