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A theoretical model of health information technology usage behaviour with implications for patient safety
Abstract
Primary objective: Much research and practice related to the design and implementation of information technology in health care has been atheoretical. It is argued that using extant theory to develop testable models of health information technology (HIT) benefits both research and practice. Methods and procedures: several theories of motivation, decision making, and technology acceptance are reviewed and associated theory-based principles of HIT usage behaviour are produced. Main outcomes and results: the case of medical error reporting technology is used to support the validity of the proposed HIT usage behaviour principles. Further, combining these principles produces a testable, theoretical multilevel model of HIT usage behaviour. The model provides an alternative to atheoretical research and practice related to HIT. Conclusions: developing, testing, and revising models of HIT like the one presented here is suggested to be beneficial to researchers and practitioners alike.
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“Almost every study used well validated questionnaire items from previous studies, something that has been discussed as a major benefit of the penetration of TAM in IT research [32], and of the use of theory in health IT research, generally [28].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [28]
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Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
“In reviewing TAM’s application to health care settings, we cannot overlook the excellent recent review by Yarbrough and Smith [30] of various studies of physicians’ acceptance and use of health IT, which included four datasets that have been statistically analyzed using TAM as a theoretical base.1 (a) Technology Accep…”
InfluentialSelf-citationHolden, R. J., Carayon, P., Gurses, A. P., Hoonakker, P., Hundt, A. S., Ozok, A. A., & Rivera-Rodriguez, A. J. (2013) · Ergonomics · doi:10.1080/00140139.2013.838643 · Cited by 1,221
“…of lean in healthcare (Holden, 2011b) Health information technology and medical devices References Technology acceptance and implementation (Holden & Karsh, 2009; Karsh & Holden, 2007) Electronic health record (EHR) implementation in a small clinic (Carayon, Smith, Hundt, Kuruchittham, &…”
BackgroundSelf-citationSittig, D. F., & Singh, H. (2010) · Quality and Safety in Health Care · doi:10.1136/qshc.2010.042085 · Cited by 897
“An ongoing challenge to the design, development, implementation and evaluation of health information technology (HIT) interventions is to operationalise their use within the complex adaptive healthcare system that consists of high-pressured, fast-paced and distributed settings of care delivery. Many conceptual models…”
BackgroundA Systematic Review of Patient Acceptance of Consumer Health Information Technology
Or, C. K. L., & Karsh, B.-T. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m2888 · Cited by 586
Self-citationMiddleton, B., Bloomrosen, M., Dente, M. A., Hashmat, B., Koppel, R., Overhage, J. M., Payne, T. H., Rosenbloom, S. T., Weaver, C., & Zhang, J. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001458 · Cited by 618
Metadata
- Authors
- Holden, R. J., & Karsh, B.-T.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Karsh, Ben-Tzion
- ORCID
- Holden, Richard J.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2009-01
- Volume
- 28
- Issue
- 1
- Pages
- 21-38
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W1987895952
- Cited by
- 128
- References
- 125
- Citations by year
- 2025: 3 · 2024: 6 · 2023: 5 · 2022: 7 · 2021: 6 · 2020: 7 · 2019: 9 · 2018: 5 · 2017: 7 · 2016: 9 · 2015: 7 · 2014: 9 · 2013: 14 · 2012: 9
- FWCI
- 18.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour and Information Technology (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Keywords
- health information technology, patient safety, medical error reporting, technology acceptance, motivation, decision-making, multilevel models, theory-based model, health information systems
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