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

Holden, Richard J.; Karsh, Ben-Tzion

doi:10.1080/01449290601138245

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

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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“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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Kaplan, H. (2002) · BMJ Quality & Safety · doi:10.1136/qhc.11.2.144 · Cited by 33 · see citing works
Understanding the Organisational Ramifications of Implementing Information Technology Systems
Eason, K. (1997) · Elsevier eBooks · doi:10.1016/b978-044481862-1.50127-8 · Cited by 33 · see citing works
A macro-ergonomic work system analysis of the diagnostic testing process in an outpatient health care facility for process improvement and patient safety
Hallock, M., Alper, S. J., & Karsh, B.-T. (2006) · Ergonomics · doi:10.1080/00140130600568832 · Cited by 30 · see citing works
Self-citation
Multiple User Considerations and Their Implications in Medical Error Reporting System Design
Escoto, K. H., Karsh, B., & Beasley, J. W. (2006) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872006776412207 · Cited by 22 · see citing works
Self-citation
“Smart” pumps: A cautionary tale of human factors engineering*
Leape, L. L. (2005) · Critical Care Medicine · doi:10.1097/01.ccm.0000155779.07020.9e · Cited by 22 · see citing works
Benefiting from the "Gift of Failure"
Kaplan, H. S. (2003) · Journal of Legal Medicine · doi:10.1080/713832121 · Cited by 14 · see citing works
Motivation and Personality
(1997) · Naming the Mind: How Psychology Found its Language · doi:10.4135/9781446221815.n7 · Cited by 3 · see citing works

Flagged first, then by citations

2 of the 125 references couldn’t be matched to a known paper.

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 · see citing works
“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-citation
SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients
Holden, 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 · see citing works
“…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-citation
A new sociotechnical model for studying health information technology in complex adaptive healthcare systems
Sittig, D. F., & Singh, H. (2010) · Quality and Safety in Health Care · doi:10.1136/qshc.2010.042085 · Cited by 897 · see citing works
“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…”
Background
A 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 · see citing works
Self-citation
Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA
Middleton, 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 · see citing works
Cloud computing adoption and usage in community colleges
Behrend, T. S., Wiebe, E., London, J., & Johnson, E. C. (2010) · Behaviour and Information Technology · doi:10.1080/0144929x.2010.489118 · Cited by 383 · see citing works
“For example, Holden and Karsh (2009) used TAM2 to help develop a testable, theoretical multilevel model of health IT usage behaviour.”
Method
Health information technology: fallacies and sober realities
Karsh, B.-T., Weinger, M. B., Abbott, P. A., & Wears, R. L. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.005637 · Cited by 365 · see citing works
Self-citation
Factors affecting home care patients' acceptance of a web-based interactive self-management technology
Or, C. K., Karsh, B., Severtson, D. J., Burke, L. J., Brown, R., & Brennan, P. F. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.007336 · Cited by 310 · see citing works
Self-citation
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation
Liberati, E. G., Ruggiero, F., Galuppo, L., Gorli, M., González-Lorenzo, M., Maraldi, M., Ruggieri, P., Polo Friz, H., Scaratti, G., Kwag, K. H., et al. (2017) · Implementation Science · doi:10.1186/s13012-017-0644-2 · Cited by 301 · see citing works
A literature review for large-scale health information system project planning, implementation and evaluation
Sligo, J. L., Gauld, R. D. C., Roberts, V., & Villa, L. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.09.007 · Cited by 277 · see citing works
A human factors framework and study of the effect of nursing workload on patient safety and employee quality of working life
Holden, R. J., Scanlon, M. C., Patel, N., Kaushal, R., Escoto, K. H., Brown, R. L., Alper, S. J., Arnold, J. M., Shalaby, T. M., Murkowski, K., et al. (2011) · BMJ Quality & Safety · doi:10.1136/bmjqs.2008.028381 · Cited by 253 · see citing works
Self-citation
The Balance Theory and the Work System Model … Twenty Years Later
Carayon, P. (2009) · International Journal of Human-Computer Interaction · doi:10.1080/10447310902864928 · Cited by 188 · see citing works
Facilitators and Barriers to Adopting Robotic-Assisted Surgery: Contextualizing the Unified Theory of Acceptance and Use of Technology
BenMessaoud, C., Kharrazi, H. H. K., & MacDorman, K. F. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016395 · Cited by 175 · see citing works
“So far, little research has been conducted on this topic and, as with other health technologies, the application of theory to the study of physicians' behavior has been limited”
Background
Physicians’ beliefs about using EMR and CPOE: In pursuit of a contextualized understanding of health IT use behavior
Holden, R. J. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2009.12.003 · Cited by 162 · see citing works
“Instead, they result from tractable motivational and decision-making processes [2] and individuals' beliefs and experiences serve as input into those processes [16,17].”
BackgroundInfluentialSelf-citation
Crossing levels in systems ergonomics: A framework to support ‘mesoergonomic’ inquiry
Karsh, B., Waterson, P. E., & Holden, R. J. (2013) · Applied Ergonomics · doi:10.1016/j.apergo.2013.04.021 · Cited by 150 · see citing works
“Each broader level of the system provides context for the systems nestedwithin it, and that context includes policies and procedures, norms, technologies, physical environments and people specific to that level (Carayon et al., 2006; Holden and Karsh, 2009; Karsh et al., 2006).”
BackgroundMethodSelf-citation
Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM)
Malatji, W. R., Eck, R. V., & Zuva, T. (2020) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj050612 · Cited by 136 · see citing works
“that they can improve acceptance and therefore multiply IT utilization [14].”
Background
Cognitive performance-altering effects of electronic medical records: an application of the human factors paradigm for patient safety
Holden, R. J. (2010) · Cognition Technology & Work · doi:10.1007/s10111-010-0141-8 · Cited by 134 · see citing works
“…much attention in information science research (Goodhue and Thompson 1995; Ivari 1992; Markus and Robey 1983) and is a promising approach for health IT research and practice (Aarts et al. 2004; Ammenwerth et al. 2006; Holden and Karsh 2009, 2010; Kaplan 2001; Karsh et al. 2006a; Karsh et al. 2009).”
BackgroundSelf-citation
A multi-level socio-technical systems telecommuting framework
Bélanger, F., Watson‐Manheim, M. B., & Swan, B. R. (2012) · Behaviour and Information Technology · doi:10.1080/0144929x.2012.705894 · Cited by 121 · see citing works
“The theory has evolved through time as it has been used and tested by researchers from various ﬁelds (e.g. Markham 1988, Hendrick and Kleiner 2001, Holden and Karsh 2009).”
Background
Towards reinforcing telemedicine adoption amongst clinicians in Nigeria
Adenuga, K. I., Iahad, N. A., & Miskon, S. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.05.008 · Cited by 120 · see citing works
Factors that affect the use of electronic personal health records among patients: A systematic review
Abd-Alrazaq, A. A., Bewick, B. M., Farragher, T. M., & Gardner, P. H. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.03.014 · Cited by 108 · see citing works
“Or and Karsh adopted this framework from other frameworks developed by Holden and Karsh [16] and Karsh [17].”
MethodInfluential
Digital health technology enhances resilient behaviour: evidence from the ward
Rubbio, I., Bruccoleri, M., Pietrosi, A., & Ragonese, B. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-02-2018-0057 · Cited by 104 · see citing works
What Stands in the Way of Technology-Mediated Patient Safety Improvements? A Study of Facilitators and Barriers to Physicians’ Use of Electronic Health Records
Holden, R. J. (2011) · Journal of Patient Safety · doi:10.1097/pts.0b013e3182388cfa · Cited by 95 · see citing works
“( Of course, there are other factors besides use that affect EHR’s safety benefits, for example, EHR design and implementation, 14,15 the degree to which EHR supports cognition, 16 Y 18 and the fit between the EHR and the clinical work system 19,20 ).”
BackgroundSelf-citation
Using a sociotechnical framework to understand adaptations in health IT implementation
Novak, L. L., Holden, R. J., Anders, S. H., Hong, J. Y., & Karsh, B. (2013) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2013.01.009 · Cited by 97 · see citing works
“With these analyses we aim to complement the sociotechnical frameworks that have been applied to health IT (14-21) by contributing insights into some fundamental reasons for adaptations and exploring the potential value of adaptations.”
MethodSelf-citation
Health information technology and sociotechnical systems: A progress report on recent developments within the UK National Health Service (NHS)
Waterson, P. E. (2013) · Applied Ergonomics · doi:10.1016/j.apergo.2013.07.004 · Cited by 96 · see citing works
Macroergonomic factors in the patient work system: examining the context of patients with chronic illness
Holden, R. J., Valdez, R. S., Schubert, C. C., Thompson, M. J., & Hundt, A. S. (2016) · Ergonomics · doi:10.1080/00140139.2016.1168529 · Cited by 92 · see citing works
“Some models combine levels and domains (Henriksen, Joseph, and Zayas-Cabán 2009; Holden and Karsh 2009; Karsh et al. 2006; Moray 2000).”
Self-citation
Macroergonomics in Health Care Quality and Patient Safety
Carayon, P., Karsh, B., Gürses, A. P., Holden, R. J., Hoonakker, P., Hundt, A. S., Montague, E. N. H., Rodriguez, A. J., & Wetterneck, T. B. (2013) · Reviews of Human Factors and Ergonomics · doi:10.1177/1557234x13492976 · Cited by 85 · see citing works
Self-citation
Healthcare workers' perceptions of lean: A context-sensitive, mixed methods study in three Swedish hospitals
Holden, R. J., Eriksson, A., Andreasson, J., Williamsson, A., & Dellve, L. (2014) · Applied Ergonomics · doi:10.1016/j.apergo.2014.09.008 · Cited by 79 · see citing works
“It is possible that lean's ultimate success is greatly influenced by frontline staff perceptions and acceptance, much as is the case for other healthcare innovations such as new technology (Holden, 2010; Holden and Karsh, 2009).”
Self-citation
A change management framework for macroergonomic field research
Holden, R. J., Or, C. K., Alper, S. J., Rivera, A. J., & Karsh, B. (2008) · Applied Ergonomics · doi:10.1016/j.apergo.2008.02.016 · Cited by 74 · see citing works
Self-citation
Nurses’ perceptions, acceptance, and use of a novel in-room pediatric ICU technology: testing an expanded technology acceptance model
Holden, R. J., Asan, O., Wozniak, E. M., Flynn, K. E., & Scanlon, M. C. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0388-y · Cited by 85 · see citing works
“The field of dreams fallacy [1] applied to health information technology (IT) states it is not the case that “ If you build IT, will they come (to use it) ” [2].”
BackgroundSelf-citation
Modeling nurses' acceptance of bar coded medication administration technology at a pediatric hospital
Holden, R. J., Brown, R., Scanlon, M. C., & Karsh, B. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000754 · Cited by 73 · see citing works
Self-citation
Macroergonomics and patient safety: The impact of levels on theory, measurement, analysis and intervention in patient safety research
Karsh, B., & Brown, R. (2010) · Applied Ergonomics · doi:10.1016/j.apergo.2009.12.007 · Cited by 61 · see citing works
Self-citation
Predictors and outcomes of nurses’ use of smartphones for work purposes
Bautista, J. R., Rosenthal, S., Lin, T. T. C., & Theng, Y. L. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.008 · Cited by 62 · see citing works
Social and personal normative influences on healthcare professionals to use information technology: towards a more robust social ergonomics
Holden, R. J. (2011) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2010.549249 · Cited by 56 · see citing works
“purchasing and installing) of EHR or another technology does not guarantee that it will be appropriately used (Holden and Karsh 2009 , Holden 2010 ).”
MethodSelf-citation
Do hospital physicians’ attitudes change during PACS implementation? A cross-sectional acceptance study
Pynoo, B., Devolder, P., Duyck, W., van Braak, J., Sijnave, B., & Duyck, P. (2011) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2011.10.007 · Cited by 55 · see citing works
That’s nice, but what does IT do? Evaluating the impact of bar coded medication administration by measuring changes in the process of care
Holden, R. J., Brown, R., Alper, S. J., Scanlon, M. C., Patel, N., & Karsh, B. (2011) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2011.02.007 · Cited by 53 · see citing works
Self-citation
Human Factors and Health Information Technology: Current Challenges and Future Directions
Kannampallil, T., & Patel, V. L. (2014) · Yearbook of Medical Informatics · doi:10.15265/iy-2014-0005 · Cited by 48 · see citing works
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:10.1016/j.rai.2016.02.002 · Cited by 49 · see citing works
“Another elevant factor refers to the training or time to practice using he system, defined by Aggelidis and Chatzoglou (2009) and olden and Karsh (2009) as the realization of training programs n the use of IS before their introduction and during its operating eriod.”
Background
Human Factors Analysis, Design, and Evaluation of Engage, a Consumer Health IT Application for Geriatric Heart Failure Self-Care
Srinivas, P., Cornet, V. P., & Holden, R. J. (2016) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2016.1265784 · Cited by 47 · see citing works
“…was performed on the premise that HFE methods and a user-centered design approach enhance the ease of use and effectiveness of CHIT, ensure better integration of CHIT into daily life, and promote acceptance and use (Holden & Karsh, 2009; Marquard & Zayas Cabán, 2012; Zayas Cabán & Dixon, 2010).”
MethodSelf-citation
Retail pharmacy staff perceptions of design strengths and weaknesses of electronic prescribing
Abraham, O., & Chui, M. A. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000779 · Cited by 46 · see citing works
“These methods tend to have strong face validity.(16) 17 We used a qualitative approach to characterize the design strengths and weaknesses of pharmacy e-prescribing technology design interface, and compare the e-prescribing design features among three major pharmacy computer systems.”
Method
Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study
Safi, S., Danzer, G., & Schmailzl, K. J. G. (2019) · JMIR Human Factors · doi:10.2196/13472 · Cited by 43 · see citing works
“It may serve to derive predictions about the end user acceptance and to evaluate and confirm already accepted apps [6,7].”
e-Prescribing: characterisation of patient safety hazards in community pharmacies using a sociotechnical systems approach
Abraham, O., & Chui, M. A. (2013) · BMJ Quality & Safety · doi:10.1136/bmjqs-2013-001834 · Cited by 42 · see citing works
Medication-related cognitive artifacts used by older adults with heart failure
Mickelson, R. S., Willis, M., & Holden, R. J. (2015) · Health Policy and Technology · doi:10.1016/j.hlpt.2015.08.009 · Cited by 39 · see citing works
“To put it another way, a human factors analysis looks at how cognitive artifacts fit in their surrounding sociotechnical system [10,11] to inform system (re)design that optimizes performance and well-being [12,13].”
BackgroundSelf-citation
Mediation of adoption and use: a key strategy for mitigating unintended consequences of health IT implementation: Table 1
Novak, L. L., Anders, S. H., Gadd, C. S., & Lorenzi, N. M. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000575 · Cited by 38 · see citing works
Pharmacy workers’ perceptions and acceptance of bar-coded medication technology in a pediatric hospital
Holden, R. J., Brown, R., Scanlon, M. C., & Karsh, B. (2012) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2012.01.004 · Cited by 37 · see citing works
Self-citation
Adoption of online health management tools among healthy older adults: An exploratory study
Zettel‐Watson, L., & Tsukerman, D. (2014) · Health Informatics Journal · doi:10.1177/1460458214544047 · Cited by 35 · see citing works
Evaluating the use of a computerized clinical decision support system for asthma by pediatric pulmonologists
Lomotan, E. A., Hoeksema, L. J., Edmonds, D., Ramírez-Garnica, G., Shiffman, R. N., & Horwitz, L. I. (2011) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2011.11.004 · Cited by 35 · see citing works
Helping the Helpers – A research protocol for user-centered technology to aid caregiver management of medications for people with Alzheimer's disease and related dementias
Werner, N. E., Campbell, N. L., Boustani, M., Ganci, A., & Holden, R. J. (2022) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2022.03.014 · Cited by 27 · see citing works
Self-citation
Cultural and Contextual Adaptation of an eHealth Intervention for Youth Receiving Services for First-Episode Psychosis: Adaptation Framework and Protocol for Horyzons-Canada Phase 1
Lal, S., Gleeson, J., MALLA, A. K., Rivard, L., Joober, R., Chandrasena, R. D., & Álvarez‐Jiménez, M. (2018) · JMIR Research Protocols · doi:10.2196/resprot.8810 · Cited by 28 · see citing works
“We also identified frameworks evaluating Web-based tools [24,25], implementation research models (eg, Revised Ottawa Model of Research Use) [26], and technology and innovation models (eg, technology acceptance model) [27].”
BackgroundMethod
Medical error reporting among doctors and nurses in a Nigerian hospital: A cross‐sectional survey
Afolalu, O. O., Jordan, S. E., & Kyriacos, U. (2020) · Journal of Nursing Management · doi:10.1111/jonm.13238 · Cited by 28 · see citing works
Design of a patient-centric, service-oriented health care navigation system for a local health integration network
Bhandari, G., & Snowdon, A. W. (2011) · Behaviour and Information Technology · doi:10.1080/0144929x.2011.563798 · Cited by 27 · see citing works
“While several studies in the past have extensively studied technology adoption in health care (e.g. Dixon 1999, Succi and Walter 1999, Yarbrough and Smith 2007, Holden and Karsh 2009), there is no study that posits or examines a potential link between service design and the antecedents of the UTAUT.”
Background
Human Factors Engineering and Human–Computer Interaction: Supporting User Performance and Experience
Holden, R. J., Voida, S., Savoy, A., Jones, J., & Kulanthaivel, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-22753-5_13 · Cited by 24 · see citing works
Self-citation
Perceptions regarding the ease of use and usefulness of health information exchange systems among medical providers, case managers and non-clinical staff members working in HIV care and community settings
Myers, J. J., Koester, K. A., Chakravarty, D., Pearson, C., Maiorana, A., Shade, S. B., & Steward, W. T. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.07.005 · Cited by 23 · see citing works
“Our study supports others [17–20] demonstrating that when the specific needs of users are met, usefulness and use is high, although these dimensions varied in our study according to provider type and work setting.”
Result
The Effect of Electronic Health Record Use and Patient-Centered Communication on Cancer Screening Behavior: An Analysis of the Health Information National Trends Survey
Totzkay, D., Silk, K. J., & Sheff, S. E. (2017) · Journal of Health Communication · doi:10.1080/10810730.2017.1338801 · Cited by 23 · see citing works
The influence of peer beliefs on nurses' use of new health information technology: A social network analysis
Yuan, C. T., Nembhard, I. M., & Kane, G. C. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113002 · Cited by 23 · see citing works
Drivers of the Technology Adoption In Healthcare
Almeida, J., Farias, J. S., & Carvalho, H. S. (2017) · Brazilian Business Review · doi:10.15728/bbr.2017.14.3.5 · Cited by 21 · see citing works
Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review
Ramasawmy, M., Poole, L., Thorlu-Bangura, Z., Chauhan, A., Murali, M., Jagpal, P., Bijral, M., Prashar, J., G-Medhin, A., Murray, E., et al. (2022) · JMIR Cardio · doi:10.2196/37360 · Cited by 18 · see citing works
“New frameworks, developed from the review and synthesis of existing frameworks or from empirical research, were proposed by 26 papers [14,15,44-67].”
Background
Relationships between leadership and culture, human resources and process improvement in lean healthcare
Vanichchinchai, A. (2023) · Business Process Management Journal · doi:10.1108/bpmj-07-2022-0328 · Cited by 25 · see citing works
Do Beliefs About Hospital Technologies Predict Nurses' Perceptions of Quality of Care? A Study of Task-Technology Fit in Two Pediatric Hospitals
Karsh, B., Holden, R., Escoto, K. H., Alper, S. J., Scanlon, M. C., Arnold, J., Skibinski, K. A., & Brown, R. (2009) · International Journal of Human-Computer Interaction · doi:10.1080/10447310902864993 · Cited by 21 · see citing works
“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 21 · see citing works
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 · see citing works
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 20 · see citing works
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 · see citing works
“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 · see citing works
“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 · see citing works
“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 · see citing works
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 · see citing works
“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].”
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“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 · see citing works
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“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
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“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 · see citing works
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“Simply implementing a technology does not guarantee its use [8, 9].”
Self-citation
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“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 · see citing works
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“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
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“Table 1 presents common factors related to each subsystem as reported by Holden and Karsh [23] and Karsh [24].”
Method
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“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
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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 · see citing works
“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
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“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
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Self-citation
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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 › Sociology and Political Science › 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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