The DOI matches its Crossref record; 123 of the 125 references it cites were found in a registry or an index.
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.
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
“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]
Citations
Cites
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
Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 54,599
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
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422
Maslow, A. H. (1943) · Psychological Review · doi:10.1037/h0054346 · Cited by 21,563
(1997) · Naming the Mind: How Psychology Found its Language · doi:10.4135/9781446221815.n7 · Cited by 15,148
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,390
Research works printed but not linked: 20
- Agency for Healthcare Research and Quality . 2005 Annual Patient Safety and Health IT Conference: Making the Health Care System Safer Through Implementation and Innovation . Available online at: http://www.ahrq.gov/about/ptsafconf05.htm (accessed August, 2005)
- Alderfer , C. P. 1972 . Existence, Relatedness, and Growth , New York : Free Press .
- Carayon , P. , Alvarado , C. , Brennan , P. , Gurses , A. , Hundt , A. , Karsh , B. and Smith , M. J. Work system and patient safety . Proceedings of Human Factors in Organizational Design and Management-VII . October 1–2 . pp. 583 – 588 . Germany : Aachen .
- Eastman Kodak Company . 2004 . Ergonomic Design for People at Work , 2nd edition , Hoboken, NJ : John Wiley and Sons .
- Franken , R. 2001 . Human Motivation , 5th edition , Pacific Grove, CA : Brooks/Cole .
- Holden , R. J. and Karsh , B. Applying a theoretical framework to the research and design of medical error reporting systems . Proceedings of the International Conference on Healthcare Systems Ergonomics and Patient Safety . 30 March–2 April . pp. 131 – 134 . Italy : Florence .
- House , R. , Rousseau , D. M. and Thomas-Hunt , M. 1995 . The meso paradigm: a framework for the integration of micro and macro organizational behavior . Research in Organizational Behavior , 17 : 71 – 114 .
- Johnson , C. W. 2003a . Failure in Safety Critical System: A Handbook of Accident and Incident Reporting , Glasgow : University of Glasgow Press .
- Johnson , C. W. 2003b . How will we get the data and what will we do with it then? Issues in the reporting at adverse healthcare events . Quality and Safety in Healthcare , 12 ( Supplement 2 ) : ii64 – ii67 .
- Karsh , B. and Brown , R. The impact of organizational hierarchies on the design and analysis of medical error research . Proceedings of Human Factors in Organizational Design and Management-VIII . June 22–26 . pp. 293 – 298 . Maui, Hawaii
- Katz , D. and Kahn , R. L. 1966 . “ Common characteristics of open systems ” . In The Social Psychology of Organizations , Edited by: Katz , D. and Kahn , R. L. 14 – 29 . New York : John Wiley & Sons .
- Kilbridge , P. 2002 . Crossing the Chasm with Information Technology: Bridging the Quality Gap in Health Care , California HealthCare Foundation .
- Majchrzak , A. 1992 . “ Management of technological and organizational change ” . In Handbook of Industrial Engineering , Edited by: Salvendy , G. 767 – 797 . New York : John Wiley and Sons .
- Marx , D. A. 1999 . Maintenance Error Causation , Washington, DC : Federal Aviation Authority Office of Aviation Medicine .
- Murray , E. J. 1964 . Motivation and Emotion , Englewood Cliffs, NJ : Prentice Hall .
- Rousseau , D. M. 1985 . Issues of level in organizational research: multilevel and cross level perpectives . Research in Organizational Behavior , 7 : 1 – 37 .
- 10.1037/0003-066X.55.1.68 · DOI · Paper page
- Triandis , H. C. 1977 . Interpersonal Behavior , Monterey, CA : Brooks/Cole .
- von Bertalanffy , L. 1968 . General Sytems Theory: Foundations, Development, Applications , New York : George Braziller .
- 10.1037/0021-9010.92.5.1414 · DOI
Cited by
Sorted by citations
Items 101–128 of 128
Chiu, W.-H., Chi, H., Chu, L.-S., & Chen, C. (2013) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2013.6602552 · Cited by 1
“Along this line, Holden and Karsh (2009) use behavioral theory to develop a model of health information technology usage.”
Service innovation in the lodging industry: A perspective of customer value
Chiu, W.-H., Lai, Y.-T., & Chi, H. (2017) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2017.7996226 · Cited by 1
WHY DO THEY RESIST? EXAMINING THE SALIENT FACTORS OF PHYSICIANS’ IT ADOPTION BEHAVIOUR
Neff, A., Gewald, H., & Haase, U. (2014) · Pacific Asia Conference on Information Systems · Cited by 1
CONCEPTUAL FOUNDATION OF SAFER GUIDES
Sittig, D. F., & Singh, H. (2015) · Apple Academic Press eBooks · doi:10.1201/b18371-5 · Cited by 1
Ma, X. (2024) · Emerging Media · doi:10.1177/27523543241300478 · Cited by 1
“Holden and Karsh (2009) found no evidence that either patient – healthcare provider interaction or EMR adoption in fl uenced the fi nal heath outcome of diseases.”
Hsu, S.-F., Wang, X.-Y., Yang, C.-H., & Liou, S. (2024) · International Journal of Humanities and Social Science · doi:10.30845/ijhss.v14p27 · Cited by 1
Weber, M., Gewald, H., & Weeger, A. (2015) · Journal of the Association for Information Systems · doi:10.18151/7217519 · Cited by 1
“However, as several studies show, clinicians often do not employ available information systems (IS) as planned, work around it, or only use a limited number of the features the systems provide (bvitg, 2012; Fadel, 2012; Holden, 2010; Holden and Karsh, 2009).”
Patient safety and health information technology conceptual framework
Opoku-Agyemang, E., Dordunoo, D., Ahmelich, A., Carey, J., Mallidou, A. A., & |, |. (2021) · Knowledge Management & E-Learning An International Journal · doi:10.34105/j.kmel.2021.13.021 · Cited by 1
“Building upon prior theoretical models (Holden & Karsh, 2009; Singh & Sittig, 2016), while considering the World Health Organization’s (WHO) (2021) initiative on Global Patient Action Plan 2021-2030, we propose a specific, testable, and multilevel conceptual framework to guide the designing of HIT…”
MethodWagner, J., & Moore, D. L. (2011) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181311551169
“In describing the development of their theoretical model of HIT use in health care, Holden and Karsh (2009) outline 12 principles.”
UK National Health Service information systems implementation: Emergence of and in informal groups
Wilegoda-Wickramage, A. S., & Patel, N. V. (2010) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii.2010.5708325
Factors That Predict Incident Reporting Behavior in Certified Registered Nurse Anesthetists
Damico, N. K. (2014) · VCU Scholars Compass (Virginia Commonwealth University) · doi:10.25772/c255-2q12 · Cited by 1
“It has also recently been applied as a model for understanding and predicting clinical practice decisions (Perkins et al.) and incident reporting in health care providers (Gavaza et al., 2011; Gavaza et al., 2012; Holden & Karsh, 2009).”
MethodCarney, T. J. (2013) · IUScholarWorks (Indiana University) · doi:10.7912/c2/939
Medical Decision Making: When Evidence and Medical Culture Clash
Bland, A., & Paris, B. L. (2015) · Springer eBooks · doi:10.1007/978-3-319-23329-1_7
Technology validation for e-trial systems
Algharibi, A. J. H. (2016) · University of Birmingham Institutional Research Archive (University of Birmingham)
SCAFFOLDING IN INTERPROFESSIONAL EDUCATION: IMPLICATIONS FOR SOCIAL WORK EDUCATION
Anderson, J. (2015) · IUScholarWorks (Indiana University) · doi:10.7912/c2bs40 · Cited by 2
Healthcare Technology Adoption at the Group Level
Araujo, A. L. (2014) · Advances in information quality and management · doi:10.4018/978-1-4666-5888-2.ch333
Nurses? use of smartphones for work purposes in the Philippines : predictors, outcomes, and issues
Bautista, J. R. (2019) · doi:10.32657/10220/48111 · Cited by 1
Systems-Based Patient Work Analyses of Older Adults with Heart Failure
Mickelson, R. S. (2017)
Remembering Ben-Tzion Karsh's scholarship, impact, and legacy
Valdez, R. S., Holden, R. J., Rivera, A. J., Ho, C. H., Madray, C. R., Bae, J., Wetterneck, T. B., Beasley, J. W., & Carayon, P. (2020) · Applied Ergonomics · doi:10.1016/j.apergo.2020.103308
Self-citationASAYİŞ HİZMETLERİNDE TEKNOLOJİ KABUL MODELİ: GEÇERLİK VE GÜVENİRLİK ÇALIŞMASI
Arık, G., & Seferoğlu, S. S. (2021) · Güvenlik Bilimleri Dergisi · doi:10.28956/gbd.1028635
Boutilier, J. J., Loganathar, P., Linden, A. R., Scheer, E. R., Nojoevich, S., Elliott, C., Zuraw, M., & Werner, N. E. (2022) · doi:10.2196/preprints.36975
Customer Strategy Definition in Elderly Care
Khashab, B. M., Joshi, U. B., & Gulliver, S. R. (2014) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-4666-4546-2.ch015
Technology Acceptance Models to Improve Adoption of Health Information Systems
Rashid, A. H. (2021) · Journal of Advanced Sciences and Engineering Technologies · doi:10.32441/jaset.01.01.03
Optimalisasi Tracking Rekam Medis Dengan Barcode di Puskesmas Lendah II
Ilmi, L. R., Praptana, P., Sari, R. Y., Herawan, H., Pramono, A. E., & Indriyani, M. (2023) · Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) · doi:10.52943/jipiki.v8i2.1149
“Manfaat besar yang diterima yaitu efisiensi waktu dan peningkatan performa layanan [28].”
BackgroundYu, H. W. (2023) · Perspectives in law, business and innovation · doi:10.1007/978-981-99-6540-3_5
End Users Complaint and Design Input of Information Technology Projects in Lagos State
Oluwaseun, O. S., & Tunde, O. T. (2025) · International Journal of Latest Technology in Engineering Management & Applied Science · doi:10.51583/ijltemas.2025.140300039
Customer Strategy Definition in Elderly Care
Khashab, B. M., Joshi, U. B., & Gulliver, S. R. (2014) · IGI Global eBooks · doi:10.4018/978-1-4666-6339-8.ch061
Alfarwan, N., Hassan, L., Panagioti, M., Zghebi, S. S., Hodkinson, A., & Kontopantelis, E. (2025) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2025.100333
“15 The framework identifies 6 key domains that influence implementation: individual factors, technological factors, task-related factors, organizational factors, social factors, and environmental factors.”
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
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
