Cited by 128Technology Adoption and User BehaviourElectronic Health Records SystemsInformation Systems Theories and Implementation

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A theoretical model of health information technology usage behaviour with implications for patient safety

Holden, Richard J., Karsh, Ben-Tzion·2009·Behaviour & Information Technology

DOI 10.1080/01449290601138245

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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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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
Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.
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
The Principles of Psychology
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
Social Learning Theory
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422
A theory of human motivation.
Maslow, A. H. (1943) · Psychological Review · doi:10.1037/h0054346 · Cited by 21,563
Motivation and Personality
(1997) · Naming the Mind: How Psychology Found its Language · doi:10.4135/9781446221815.n7 · Cited by 15,148
To Err Is Human
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,390

Show all 125 references

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

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“Considerations of fit between IT and the work system should be central to IT research and design (Karsh, Hamilon-Escoto, et al., 2006; Holden & Karsh, 2009), not an afterthought to the predetermined future success of IT, as in Ball, Garets, and Handler (2003): “The future is bright!”
BackgroundInfluentialSelf-citation
Special issue on human factors and the implementation of health information technology (HIT): Comparing approaches across nations
Waterson, P. E., Hoonakker, P., & Carayon, P. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.01.001 · Cited by 23
Characterizing Workflow to Inform Clinical Decision Support Systems in Nursing Homes
Ozkaynak, M., Reeder, B., Drake, C., Ferrarone, P., Trautner, B. W., & Wald, H. L. (2018) · The Gerontologist · doi:10.1093/geront/gny100 · Cited by 20
Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy
Morris, A. H., Horvat, C. M., Stagg, B. C., Grainger, D. W., Lanspa, M. J., Orme, J. F., Clemmer, T. P., Weaver, L. K., Thomas, F. O., Grissom, C. K., et al. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac143 · Cited by 21
An empirically-derived approach for investigating Health Information Technology: the Elementally Entangled Organisational Communication (EEOC) framework
Georgiou, A., Westbrook, J. I., & Braithwaite, J. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-68 · Cited by 20
“The HIT challenge underscores the importance of employing theory-based approaches that can help to integrate and highlight the significance of findings and improve our understanding of how and why things happen [10-13].”
Background
Occupational Macroergonomics: Principles, Scope, Value, and Methods
Holden, R. J., Rivera, A. J., & Carayon, P. (2015) · IIE Transactions on Occupational Ergonomics and Human Factors · doi:10.1080/21577323.2015.1027638 · Cited by 20
“In a series of papers, Karsh argued both for examining phenomena at various levels of analysis and applying theories and multilevel statistical methods to understand the relationships between these levels (Holden et al., 2013; Holden & Karsh, 2009; Karsh, 2006; Karsh & Brown, 2010; Karsh, Escoto, Beasley, & Holden, 20…”
BackgroundMethodInfluentialSelf-citation
Willingness to Use Mobile based e-Partograph and Associated Factors among Care Providers in North Gondar Zone, Northwest Ethiopia
Endehabtu, B. F., Endehabtu, B. F., Tadesse, Y., Gelagay, A. A., Tilahun, B. C., Mekonnen, Z. A., & Gashu, K. D. (2019) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v11i2.9468 · Cited by 18
“Evidences showed that underuse, resistance, and overrides, sabotage, and abandonment of the technologies were some of the scenarios [25,26].”
Background
Human Factors Engineering and Human-Computer Interaction: Supporting User Performance and Experience
Holden, R. J., Abebe, E., Hill, J. R., Brown, J. C., Savoy, A., Voida, S., Jones, J., & Kulanthaivel, A. (2022) · Springer eBooks · doi:10.1007/978-3-030-93765-2_9 · Cited by 21
Self-citation
A Web-Based Platform (CareVirtue) to Support Caregivers of People Living With Alzheimer Disease and Related Dementias: Mixed Methods Feasibility Study
Boutilier, J. J., Loganathar, P., Linden, A. R., Scheer, E. R., Noejovich, S. I., Elliott, C., Zuraw, M., & Werner, N. E. (2022) · JMIR Aging · doi:10.2196/36975 · Cited by 16
“Second, we used the Behavioral Intention Scale, which included 4 statements (eg, “If it were up to you, to what extent would you want to use CareVirtue?”) and 5-point response scale from 1 (not at all) to 5 (a great deal) [30,31].”
Modeling the effect of electronic banking expansion on profitability using neural networks and system dynamics approach
Shahabi, V., & Razi, F. F. (2019) · Qualitative Research in Financial Markets · doi:10.1108/qrfm-11-2018-0117 · Cited by 16
Assessing lean satisfaction and its enablers: a care provider perspective
Vanichchinchai, A. (2021) · Operations Management Research · doi:10.1007/s12063-021-00185-0 · Cited by 16
Micro- and macroergonomic changes in mental workload and medication safety following the implementation of new health IT
Holden, R. J., Brown, R., Scanlon, M. C., Rivera, A. J., & Karsh, B. (2014) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2014.04.003 · Cited by 18
Self-citation
Interdisciplinary systematic review: does alignment between system and design shape adoption and use of barcode medication administration technology?
Williams, R., Aldakhil, R., BLANDFORD, A. E., & Jani, Y. H. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-044419 · Cited by 16
Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective
Salahuddin, L. B., Ismail, Z., Ikram, R. R. R., Hashim, U. R., Idris, A., Ismail, N. H., Hassan, N. H., & Rahim, F. A. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1597164 · Cited by 14
“In addition, health IT usage behaviour involves interactions between multiple environmental and personal factors (Holden and Karsh 2009).”
Background
Attitudes and Behavior of Health Care Workers Before, During, and After Implementation of Real-Time Location System Technology
Griffin, J. M., Hellmich, T. R., Pasupathy, K. S., Funni, S. A., Pagel, S. M., Srinivasan, S. S., Heaton, H. A., Sır, M. Y., Nestler, D. M., Blocker, R. C., et al. (2020) · Mayo Clinic Proceedings Innovations Quality & Outcomes · doi:10.1016/j.mayocpiqo.2019.10.007 · Cited by 15
User-centered design and usability testing of RxMAGIC: a prescription management and general inventory control system for free clinic dispensaries
Fisher, A. M., Mtonga, T. M., Espino, J. U., Jonkman, L. J., Connor, S. E., Cappella, N., & Douglas, G. P. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3517-8 · Cited by 16
TECHNOLOGY ADOPTION IN DIFFUSION OF INNOVATIONS PERSPECTIVE: INTRODUCTION OF AN ERP SYSTEM IN A NON-PROFIT ORGANIZATION
Miranda, M. Q., Farias, J. S., Schwartz, C. D. A., & de Almeida, J. P. L. (2016) · RAI revista de administração e inovação · doi:10.11606/rai.v13i1.110447 · Cited by 15
Counteracting noncommunicable diseases with front-of-pack nutritional labels' informativeness: an inquiry into the effects on food acceptance and portions selection
Mazzù, M. F., Baccelloni, A., & Romani, S. (2023) · British Food Journal · doi:10.1108/bfj-04-2023-0285 · Cited by 14
Ontology-based home service model
Wei, M., Xu, J., Yun, H., & Xu, L. (2012) · Computer Science and Information Systems · doi:10.2298/csis101222001w · Cited by 13
“Many researches have advanced Maslow’s theory and proposed several need theories [24-27] for different social formations and technology domains.”
Background
Preferences for Sun Protection With a Self-Monitoring App: Protocol of a Discrete Choice Experiment Study
Nittas, V., Mütsch, M., & Puhan, M. A. (2020) · JMIR Research Protocols · doi:10.2196/16087 · Cited by 10
“This is driven by individual, technical, social, and environmental factors, such as personal motivation, appropriate use, long-term engagement, and satisfaction [14,15].”
Background
BYOD usage and security behaviour of hospital clinical staff: An Australian survey
Wani, T. A., Mendoza, A., Gray, K. M., & Smolenaers, F. (2022) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2022.104839 · Cited by 10
Provider Use of a Novel EHR display in the Pediatric Intensive Care Unit
Holden, R., Flynn, K. E., Yang, Y., Azam, L. S., Scanlon, M. C., & Asan, O. (2016) · Applied Clinical Informatics · doi:10.4338/aci-2016-02-ra-0030 · Cited by 10
“Simply implementing a technology does not guarantee its use [8, 9].”
Self-citation
Beyond Brick and Mortar: Unveiling the Willingness to Adopt E-Banking Services
Awajneh, A. M. H., & Abdalrahman, M. (2024) · International Journal of Technology Innovation and Management (IJTIM) · doi:10.54489/0kgj6523 · Cited by 8
The role of information technology in translating educational interventions into practice: an analysis using the PRECEDE/PROCEED model
Weir, C. R., McLeskey, N., Brunker, C. P., Brooks, D., & Supiano, M. A. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2010-000076 · Cited by 8
Nurses' perceptions and attitudes towards new ADU technology and use
Sirois, P., Fournier, H., Lebouthilier, A., Guerette-Daigle, L., Robichaud, S., Leblanc-Cormier, G., Molyneaux, H., O’Donnell, S., & Mather, L. (2013) · Technology and Health Care · doi:10.3233/thc-120708 · Cited by 8
“According to these models acceptance is de ﬁ ned as perceived usefulness, perceived ease of use and as behavioral, normative or control beliefs [5,6,9].”
RAI - Revista de Administração e Inovação
Pereira, R. M. C., Geleilate, J. M. G., Leocádio, Á. L., & Gomes, D. M. D. O. A. (2013) · Cited by 8
Examining Social And Cognitive Aspects Determining Physician's Adoption Of Electronic Medical Records
Weeger, A., & Gewald, H. (2013) · European Conference on Information Systems · Cited by 7
Understanding facilitators and barriers to reengineering the clinical research enterprise in community-based practice settings
Kukafka, R., Allegrante, J. P., Khan, S. A., Bigger, J. T., & Johnson, S. B. (2013) · Contemporary Clinical Trials · doi:10.1016/j.cct.2013.06.008 · Cited by 7
“Since publication in 2003, the ITIF has gained popularity as an IT-Implementation Framework that has been applied to the study of adoption of electronic health records for case management of persons livingwithHIV [20], development of frameworks for the design and execution of informatics-enabled studies [21–23], under…”
Method
Strategies for Culture Change
Walker, P. H. (2010) · Health informatics · doi:10.1007/978-1-84996-278-0_2 · Cited by 7
A macroergonomics perspective for exploring safety culture factors: a qualitative content analysis approach
Kalteh, H. O., & Mokarami, H. (2021) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2021.1996070 · Cited by 5
“Table 1 presents common factors related to each subsystem as reported by Holden and Karsh [23] and Karsh [24].”
Method
Physicians’ motivations to use mobile health monitoring: a cross-country comparison
Okazaki, S., García, J. A. C., Blas, S. S., & Mukherji, P. (2016) · Behaviour and Information Technology · doi:10.1080/0144929x.2016.1171395 · Cited by 5
“Following unprecedented growth in information and communication technology (ICT) during the past decade, healthcare experts throughout the world have explored the possibilities of utilising telemedicine (Aas 2003; Holden and Karsh 2009).”
BackgroundInfluential
Beyond Disease: Technologies for Health Promotion
Holden, R. J., & Valdez, R. S. (2019) · Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · doi:10.1177/2327857919081014 · Cited by 5
“In contrast, believing that if you build information technology [IT], people will come to use it, is a case of magical thinking we have referred to as the Field of Dreams Fallacy (Holden et al., 2016; Holden & Karsh, 2009; Karsh et al., 2010).”
BackgroundSelf-citation
ENDÜSTRİ 4.0’IN SAĞLIK SEKTÖRÜNE ETKİSİNDE DEMOGRAFİK ÖZELLİKLERİN DÜZENLEYİCİ ROLÜ
Korkmaz, S., & Gedik, Ö. (2020) · Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · doi:10.17065/huniibf.684717 · Cited by 5
Clinical Decision Support for Surgery: A Mixed Methods Study on Design and Implementation Perspectives From Urologists
Tan, H., Spratte, B. N., Deal, A. M., Heiling, H., Nazzal, E. M., Meeks, W., Fang, R., Teal, R., Vu, M. B., Bennett, A. V., et al. (2024) · Urology · doi:10.1016/j.urology.2024.04.033 · Cited by 4
A Framework for Antecedents to Health Information Systems Uptake by Healthcare Professionals: An Exploratory Study of Electronic Medical Records
Torkman, R., Ghapanchi, A. H., & Ghanbarzadeh, R. (2024) · Informatics · doi:10.3390/informatics11030044 · Cited by 7
“The impact of computers in the healthcare sector brings new innovations to health information technology (HIT) applications, which aim to improve the quality of care [1,2].”
Background
Best Practice Recommendations for the Retention of Radiotherapy Records
Lockhart, E. A., Bak, K., Schreiner, L. J., Hodgson, D. C., Gutierrez, E., Warde, P. R., & Sharpe, M. B. (2017) · Clinical Oncology · doi:10.1016/j.clon.2017.06.013 · Cited by 3
Technology adoption in the academic community: a multi-perspective study
Prentice, C., Şengel, Ü., Çevrimkaya, M., & Kiper, V. O. (2024) · Anatolia · doi:10.1080/13032917.2024.2399553 · Cited by 4
Cognitive Behavior and Clinical Workflows
Horsky, J. (2019) · Health informatics · doi:10.1007/978-3-030-16916-9_2 · Cited by 3
What is IT? New Conceptualizations and Measures of Pediatric Nurses' Acceptance of Bar-Coded Medication Administration Information Technology
Holden, R. J., Scanlon, M. C., Brown, R., & Karsh, B. (2008) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120805201201 · Cited by 3
“Put this way, isolating user perceptions of new technology from perceptions of the entire post-implementation work system seems like an impossible task (Chaudhry et al., 2006; Holden & Karsh, 2008).”
BackgroundMethodSelf-citation
ELECTRONIC HEALTH RECORD (EHR) ADOPTION IN SOUTH AFRICAN HEALTHCARE CENTRES: A CASE OF NW PROVINCE
Modise, T., Mavetera, N., & Jantjies, M. (2019) · IADIS International Conference on e-Health (EH) · doi:10.33965/eh2019_201910l001 · Cited by 2
IT-acceptance by autonomous professionals: Factors that contribute to success or failure
Pynoo, B. (2012) · Ghent University Academic Bibliography (Ghent University) · Cited by 2
Knowledge, attitudes and usage of electronic medical records system at Ocean Road Cancer Institute in Tanzania; An example of EMR user satisfaction in sub-Saharan AfricaPreprint
Msami, K., Okoroafor, U., Mbwana, M., Ngowi, J. R., Lwanga, C., & Luziga, H. (2023) · medRxiv · doi:10.1101/2023.09.18.23295750 · Cited by 2
Cognitive Support for Decisions in the Context of Clinical Workflows
Horsky, J. (2025) · Cognitive informatics in biomedicine and healthcare · doi:10.1007/978-3-031-82971-0_2 · Cited by 1

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
DOI: 10.1080/01449290601138245
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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A theoretical model of health information technology usage behaviour with implications for patient safety

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