Making Electronic Health Records (EHRs) Work: Informal Talk and Workarounds in Healthcare Organizations

References

• Ahern, D. K., Woods, S. S., Lightowler, M. C., Finley, S. W., & Houston, T. K. (2011). Promise of and potential for patient-facing technologies to enable meaningful use. American Journal of Preventative Medicine, 40, S162–S172. doi:10.1016/j.amepre.2011.01.005
   Web of Science ®Google Scholar
• Armenakis, A. A., Harris, S. G., & Mossholder, K. W. (1993). Creating readiness for organizational change. Human Relations, 46, 681–703. doi:10.1177/001872679304600601
   Web of Science ®Google Scholar
• Bauman, L. J., Stein, R. E. K., & Ireys, H. T. (1991). Reinventing fidelity: The transfer of social technology among settings. American Journal of Community Psychology, 19, 619–639. doi:10.1007/BF00937995
   PubMed Web of Science ®Google Scholar
• Burt, R. S. (1987). Social contagion and innovation: Cohesion versus structural equivalence. American Journal of Sociology, 92, 1287–1335. doi:10.1086/228667
   Web of Science ®Google Scholar
• Chin, W. W., Gopal, A., & Salisbury, W. D. (1997). Advancing the theory of adaptive structuration: The development of a scale to measure faithfulness of appropriation. Information Systems Research, 8, 342–367. doi:10.1287/isre.8.4.342
   Web of Science ®Google Scholar
• Crook, B., Stephens, K. K., Pastorek, A. E., Mackert, M., & Donovan, E. E. (2015). Sharing health information and influencing behavioral intensions: The role of health literacy, information overload, and the internet in the diffusion of healthy heart information. Health Communication, 31, 60–71. doi:10.1080/10410236.2014.936336
   PubMed Web of Science ®Google Scholar
• De Vaus, D. A. (1993). Surveys in social research (3rd ed.). London, UK: UCL Press.
   Google Scholar
• del Val, M. P., & Fuentes, C. M. (2003). Resistance to change: A literature review and empirical study. Management Decision, 41, 148–155. doi:10.1108/00251740310457597
   Google Scholar
• Erskine, J., Hunter, D. J., Small, A., Hicks, C., McGovern, T., Lugsden, E., & Eccles, M. P. (2013). Leadership and transformational change in healthcare organizations: A qualitative analysis of the North East Transformation system. Health Services Management Research, 26, 29–37. doi:10.1177/0951484813481589
   PubMedGoogle Scholar
• Essen, A., & Lindblad, S. (2013). Innovation as emergence in healthcare: Unpacking change from within. Social Science & Medicine, 93, 203–211. doi:10.1016/j.socscimed.2012.08.035
   PubMed Web of Science ®Google Scholar
• Ford, E. W., Menachemi, N., Peterson, L. T., & Huerta, T. R. (2009). Resistance is futile: But it is slowing the pace of EHR adoption nonetheless. Journal of the American Medical Informatics Association, 16, 274–281. doi:10.1197/jamia.M3042
   PubMed Web of Science ®Google Scholar
• Fulk, J., Schmitz, J., & Ryu, D. (1995). Cognitive elements in the social construction of communication technology. Management Communication Quarterly, 8, 259–288. doi:10.1177/0893318995008003001
   Google Scholar
• Fulk, J., Schmitz, J. A., & Steinfield, C. W. (1990). A social influence model of technology use. In J. Fulk & C. W. Steinfield (Eds.), Organizations and communication technology (pp. 117–140). Newbury Park, CA: Sage.
   Google Scholar
• Geist-Martin, P., Bollinger, B. J., Wiechert, K. N., Plump, B., & Sharf, B. F. (2015). Challenging integration: Clinicians’ perspectives of communicating collaboration in a center for integrative medicine. Health Communication, 31, 544–556. doi:10.1080/10410236.2014.976605
   PubMed Web of Science ®Google Scholar
• Glaser, E. M., & Backer, T. E. (1977). Innovation redefined: Durability and local adaptation. Evaluation, 4, 131–135.
   Google Scholar
• Goh, J. M., Gao, G., & Agarwal, R. (2011). Evolving work routines: Adaptive routinization of information technology in healthcare. Information Systems Research, 22, 565–585. doi:10.1287/isre.1110.0365
   Web of Science ®Google Scholar
• Greenhalgh, T., Robert, G., MacFarlane, F., Bate, P., & Kyriakidou, O. (2005). Diffusion of innovations in health service organizations: Systematic review and recommendations. The Milbank Quarterly, 82, 581–629. doi:10.1111/j.0887-378X.2004.00325.x
   Web of Science ®Google Scholar
• Greenhalgh, T., Robert, G., Bate, P., Macfarlane, F., & Kyriakidou, O. (2008). Diffusion of innovations in health service organizations. Malden, MA: Blackwell Publishing.
   Google Scholar
• Gregg, H. (2014, April). 10 things to know about Epic. Becker’s Hospital Review. Retrieved from http://www.beckershospitalreview.com/lists/10-things-to-know-about-epic.html
   Google Scholar
• Halbesleben, J. R. B., & Cheryl, R. (2008). The role of continuous quality improvement and psychological safety in predicting work-arounds. Health Care Management Review, 33, 134–144. doi: 10.1097/01.HMR.0000304505.04932.62
   Google Scholar
• Halbesleben, J. R. B., Wakefield, D. S., & Wakefield, B. J. (2008). Workarounds in healthcare settings: Literature review and research agenda. Healthcare Management Review, 33, 2–12. doi:10.1097/01.HMR.0000304495.95522.ca
   PubMed Web of Science ®Google Scholar
• Horwitz, J. R. (2005). Making profits and providing care: Comparing nonprofit, for-profit, and government hospitals. Health Affairs, 24, 790–801. doi:10.1377/hlthaff.24.3.790
   Web of Science ®Google Scholar
• Hoyle, R. H., & Smith, G. T. (1994). Formulating clinical research hypotheses as structural equation models: A conceptual overview. Journal of Consulting & Clinical Psychology, 62, 429–440. doi:10.1037/0022-006X.62.3.429
   PubMed Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Kvedar, J., Coye, M. J., & Everett, W. (2014). Connected health: A review of technologies and strategies to improve patient care with telemedicine and telehealth. Health Affairs, 33, 194–199. doi:10.1377/hlthaff.2013.0992
   PubMed Web of Science ®Google Scholar
• Lewis, L. K. (2011). Organizational change: Creating change through strategic communication. Chichester, UK: Wiley-Blackwell.
   Google Scholar
• Lewis, L. K., & Seibold, D. R. (1993). Innovation modification during intra-organizational adoption. Academy of Management Review, 18, 322–354. doi:10.5465/AMR.1993.3997518
   Web of Science ®Google Scholar
• Makowsky, M. J., Guirguis, L. M., Hughes, C. A., Sadowski, C. A., & Yuksel, N. (2013). Factors influencing pharmacists’ adoption of prescribing: Qualitative application of the diffusion of innovations theory. Implementation Science, 8, 109–120. doi:10.1186/1748-5908-8-109
   PubMed Web of Science ®Google Scholar
• Marcus, A. A. (1988). Implementing externally induced innovations: A comparison of rule-bound and autonomous approaches. Academy of Management Journal, 31, 235–256. doi:10.2307/256547
   Web of Science ®Google Scholar
• McMullen, H., Griffiths, C., Leber, W., & Greenhalgh, T. (2015). Explaining high and low performers in complex intervention trials: A new model based on diffusion of innovations theory. Trials, 16, 242–258. doi:10.1186/s13063-015-0755-5
   PubMed Web of Science ®Google Scholar
• Meeks, D. W., Smith, M. W., Taylor, L., Sittig, D. F., Scott, J. M., & Singh, H. (2014). An analysis of electronic health record-related patient safety concerns. Journal of the American Medical Informatics Association, 21, 1053–1059. doi:10.1136/amiajnl-2013-002578
   PubMed Web of Science ®Google Scholar
• Menachemi, N., & Collum, T. H. (2011). Benefits and drawbacks of electronic health record systems. Risk Management Healthcare Policy, 4, 47–55. doi:10.2147/RMHP.S12985
   PubMedGoogle Scholar
• Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perception of adopting an information technology innovation. Information Systems Research, 2, 192–222. doi:10.1287/isre.2.3.192
   Web of Science ®Google Scholar
• Morath, J. M., & Turnbull, J. E. (2005). To do no harm. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Mwachofi, A. K., Khaliq, A. A., Carrillo, E. R., & Winfree, W. (2016). Technology versus humanism: How patients perceive the use of electronic health records in physicians’ offices—A qualitative study. Health Communication, 31, 257–264. doi:10.1080/10410236.2014.947467
   PubMed Web of Science ®Google Scholar
• Noyes, J., Lewis, M., Bennett, V., Widdas, D., & Brombley, K. (2013). Realistic nurse-led implementation, optimization and evaluation: Novel methodological exemplar. Journal of Advanced Nursing, 70, 220–237. doi:10.1111/jan.12169
   PubMed Web of Science ®Google Scholar
• Oreg, S. (2006). Personality, context, and resistance to organizational change. European Journal of Work & Organizational Psychology, 15, 73–101. doi:10.1080/13594320500451247
   Web of Science ®Google Scholar
• Parkin, P. (2009). Managing change in healthcare: Using action research. London, UK: Sage Publications.
   Google Scholar
• Qian, Y. (2013). Beyond the BOHICA syndrome: Social construction of employee cynicism toward organizational change. Florida Communication Journal, 41, 67–79.
   Google Scholar
• Ray, E. B., & Miller, K. I. (1994). Social support, home/work stress, and burnout: Who can help? The Journal of Applied Behavioral Science, 30, 357–373. doi:10.1177/0021886394303007
   Google Scholar
• Rice, R. E., & Rogers, E. M. (1980). Re-invention in the innovation process. Knowledge: Creation, Diffusion, Utilization, 1, 499–514. doi:10.1177/107554708000100402
   Google Scholar
• Robert, G., Greenhalgh, T., Macfarlane, F., & Peacock, R. (2010). Adopting and assimilating new non-pharmaceutical technologies into health care: A systematic review. Journal of Health Services Research & Policy, 15, 243–250. doi:10.1258/jhsrp.2010.009137
   PubMed Web of Science ®Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: The Free Press.
   Google Scholar
• Root, J., Oster, N. V., Jackson, S. L., Mejilla, R., Walker, J., & Elmore, J. G. (2015). Characteristics of patients who report confusion after reading their primary care clinic notes online. Health Communication. Online first. doi:10.1080/10410236.2014.990078
   PubMed Web of Science ®Google Scholar
• Salancik, G. R., & Pfeffer, J. (1978). A social information processing approach to job attitudes and task design. Administrative Science Quarterly, 23, 224–253. doi:10.2307/2392563
   PubMed Web of Science ®Google Scholar
• Salas, E., Rosen, M. A., & King, H. (2007). Managing teams managing crises: Principles of teamwork to improve patient safety in the emergency room and beyond. Theoretical Issues in Ergonomics Science, 8, 381–394. doi:10.1080/14639220701317764
   Google Scholar
• Salisbury, W. D., Chin, W. W., Gopal, A., & Newsted, P. R. (2002). Research report: Better theory through measurement—Developing a scale to capture consensus on appropriation. Information Systems Research, 13, 91–103. doi:10.1287/isre.13.1.91.93
   Web of Science ®Google Scholar
• Salisbury, W. D., Gopal, A., & Chin, W. W. (1996). Are we all working from the same script? Developing an instrument to measure consensus on the appropriation of an electronic meeting system. Proceedings of the 29th Annual Hawaii International Conference on System Sciences, (HICSS-29). doi:10.1109/hicss.1996.493172
   Google Scholar
• Schmitz, J. A., & Fulk, J. (1991). Organizational colleagues, information richness, and electronic mail: A test of the social influence model of technology use. Communication Research, 18, 487–523. doi:10.1177/009365091018004003
   Web of Science ®Google Scholar
• Shinn, M., Wong, N. W., Simko, P. A., & Ortiz-Torres, B. (1989). Promoting the well-being of working parents: Coping, social support, and flexible job schedules. American Journal of Community Psychology, 17, 31–55. doi:10.1007/BF00931201
   Web of Science ®Google Scholar
• Steelman, L. A., Levy, P. E., & Snell, A. F. (2004). The feedback environment scale: Construct definition, measurement, and validation. Educational & Psychological Measurement, 64, 165–184. doi:10.1177/0013164403258440
   Web of Science ®Google Scholar
• Steinbrook, R. (2009). Health care and the American Recovery and Reinvestment Act. New England Journal of Medicine, 360, 1057–1060. doi:10.1056/NEJMp0900665
   PubMed Web of Science ®Google Scholar
• Stutzer, K., & Rushton, C. H. (2015). Ethical implications of workarounds in critical care. AACN Advanced Critical Care, 26, 372–375. doi:10.1097/NCI.0000000000000107
   PubMedGoogle Scholar
• Tucker, A. L., & Edmondson, A. C. (2003). Why hospitals don’t learn from failures: Organizational and psychological dynamics that inhibit system change. California Management Review, 45, 55–72. doi:10.2307/41166165
   Web of Science ®Google Scholar
• Vicente, K. J. (1999). Cognitive work analysis: Toward safe, productive, and healthy computer-based work. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Wakefield, B. J., Blegen, M. A., Uden-Holman, T., Vaughn, T., Chrischilles, E., & Wakefield, D. S. (2001). Organizational culture, continuous quality improvement, and medication administration error reporting. American Journal of Medical Quality, 16, 128–134. doi:10.1177/106286060101600404
   PubMed Web of Science ®Google Scholar