Save Face or Save Life: Physicians’ Dilemma in Using Clinical Decision Support Systems

Published Online:https://doi.org/10.1287/isre.2021.1082

References

  • Aiken L, West S, Reno R (1991) Multiple Regression: Testing and Interpreting Interactions (Sage Publications).Google Scholar
  • Alexander GC, Humensky J, Guerrero C, Park H, Loewenstein G (2010) Brief report: Physician narcissism, ego threats, and confidence in the face of uncertainty. J. Appl. Soc. Psych. 40(4):947–955.CrossrefGoogle Scholar
  • Ali SM, Giordano R, Lakhani S, Walker DM (2016) A review of randomized controlled trials of medical record powered clinical decision support system to improve quality of diabetes care. Internat. J. Medical Inform. (87):91–100.CrossrefGoogle Scholar
  • Alqahtani DA, Rotgans JI, Mamede S, Alalwan I, Magzoub ME, Altayeb FM, Mohamedani MA, et al. (2021) Does time pressure have a negative effect on diagnostic accuracy? Acad. Medicine 91(5):710–716.Google Scholar
  • Babbott S, Manwell LB, Brown R, Montague E, Williams E, Schwartz M, Hess E, et al.. (2014) Electronic medical records and physician stress in primary care: results from the memo study. J. Amer. Medical Inform. Assoc. 21(e1):e100–e106.Google Scholar
  • Bai J (2014) Docotors, please take a break. People's Daily. Accessed November 21, 2021, http://opinion.people.com.cn/n/2014/1121/c1003-26068164.html.Google Scholar
  • Baumeister RF (1982) A self-presentational view of social phenomena. Psych. Bull. 91(1):3.CrossrefGoogle Scholar
  • Berner ES, Graber ML (2008) Overconfidence as a cause of diagnostic error in medicine. Amer. J. Medicine 121(5):S2–S23.CrossrefGoogle Scholar
  • Bhattacherjee A, Hikmet N (2007) Physicians’ resistance toward healthcare information technology: A theoretical model and empirical test. Eur. J. Inform. Systems 16(6):725–737.CrossrefGoogle Scholar
  • Boonstra A, Broekhuis M (2010) Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Services Res. 10(1):1.CrossrefGoogle Scholar
  • Bracha A, Fershtman C (2013) Competitive incentives: Working harder or working smarter? Management Sci. 59(4):771–781.LinkGoogle Scholar
  • Bright TJ, Wong A, Dhurjati R, Bristow E, Bastian L, Coeytaux RR, Samsa G, et al. (2012) Effect of clinical decision-support systems: A systematic review. Ann. Internal Medicine 157(1):29–43.CrossrefGoogle Scholar
  • Brown P, Levinson SC, Levinson SC (1987) Politeness: Some Universals in Language Usage (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Cabana MD, Rand CS, Powe NR, Wu AW, Wilson MH, Abboud P-AC, Rubin HR (1999) Why don’t physicians follow clinical practice guidelines?: A framework for improvement. JAMA 282(15):1458–1465.CrossrefGoogle Scholar
  • Cenfetelli RT (2004) Inhibitors and enablers and dual factor concepts in technology usage. J. Assoc. Inform. Systems 5(11):472–492.Google Scholar
  • Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, Morton SC, et al. (2006) Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Ann. Internal Medicine 144(10):E12–E22.CrossrefGoogle Scholar
  • Chiang HY, Pepper GA (2006) Barriers to nurses’ reporting of medication administration errors in Taiwan. J. Nursing Scholarship 38(4):392–399.CrossrefGoogle Scholar
  • Cohen J (1988) Statistical Power Analysis for the Behavioral Sciences (Lawrence Erlbaum, Hillsdale, NJ).Google Scholar
  • Coiera E (2015) Guide to Health Informatics (CRC Press, Boca Raton, FL).CrossrefGoogle Scholar
  • Croskerry P, Norman G (2008) Overconfidence in clinical decision making. Amer. J. Medicine 121(5):S24–S29.CrossrefGoogle Scholar
  • Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Inform. Systems Quart. 13(3):319–338.CrossrefGoogle Scholar
  • Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: A comparison of two. Management Sci. 35(8):982–1003.LinkGoogle Scholar
  • Deci EL, Ryan RM (2000) The “what” and” why” of goal pursuits: Human needs and the self-determination of behavior. Psych. Inquiry 11(4):227–268.CrossrefGoogle Scholar
  • Ding G, Liu H, Huang Q, Gu J (2017) Moderating effects of guanxi and face on the relationship between psychological motivation and knowledge-sharing in China. J. Knowledge Management. 21(5):1077–1097.CrossrefGoogle Scholar
  • Earley PC (1997) Face, Harmony, and Social Structure: An Analysis of Organizational Behavior Across Cultures (Oxford University Press on Demand, Oxford, UK).Google Scholar
  • Eckhardt A, Laumer S, Weitzel T (2009) Who influences whom? Analyzing workplace referents’ social influence on it adoption and non-adoption. J. Inform. Tech. 24(1):11–24.CrossrefGoogle Scholar
  • Edwards N, Kornacki MJ, Silversin J (2002) Unhappy doctors: What are the causes and what can be done? BMJ 324:835–838.CrossrefGoogle Scholar
  • Emanuel EJ, Emanuel LL (1992) Four models of the physician-patient relationship. JAMA 267(16):2221–2226.CrossrefGoogle Scholar
  • Epstein S, Pacini R, Denes-Raj V, Heier H (1996) Individual differences in intuitive–experiential and analytical–rational thinking styles. J. Personality Soc. Psych. 71(2):390–405.CrossrefGoogle Scholar
  • Essl A, Jaussi S (2017) Choking under time pressure: The influence of deadline-dependent bonus and malus incentive schemes on performance. J. Econom. Behav. Organ. 133:127–137.CrossrefGoogle Scholar
  • Evans JSB (2008) Dual-processing accounts of reasoning, judgment, and social cognition. Annu. Rev. Psych. (59):255–278.CrossrefGoogle Scholar
  • Evans JSB, Stanovich KE (2013) Dual-process theories of higher cognition: Advancing the debate. Perspectives Psych. Sci. 8(3):223–241.CrossrefGoogle Scholar
  • Faraj S, Xiao Y (2006) Coordination in fast response organizations. Management Sci. 52(8):1155–1169.LinkGoogle Scholar
  • Filieri R, Chen W, Dey BL (2017) The importance of enhancing, maintaining and saving face in smartphone repurchase intentions of Chinese early adopters. Inform. Tech. People. 30(3):629–652.CrossrefGoogle Scholar
  • Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J. Marketing Res. 18(1):39–50.CrossrefGoogle Scholar
  • Froehle CM, Roth AV (2004) New measurement scales for evaluating perceptions of the technology-mediated customer service experience. J. Oper. Management 22(1):1–21.CrossrefGoogle Scholar
  • Garg A, Adhikari NKJ, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, Sam J, et al. (2005) Effects of computerized clinical decision support systems on practitioner performance and patient outcomes. JAMA 293(10):1223–1238.CrossrefGoogle Scholar
  • Goffman E (1955) On face-work: An analysis of ritual elements in social interaction. Psychiatry 18(3):213–231.CrossrefGoogle Scholar
  • Goffman E (1978) The Presentation of Self in Everyday Life (Harmondsworth).Google Scholar
  • Graham J (2007) Doctors try new word: Sorry. Chicago Tribune. Accessed August 19, 2021, https://www.chicagotribune.com/news/ct-xpm-2007-08-19-0708180303-story.html.Google Scholar
  • Greenwald AG, Banaji MR (1995) Implicit social cognition: attitudes, self-esteem, and stereotypes. Psych. Rev. 102(1):4.CrossrefGoogle Scholar
  • Grol R (2001) Improving the quality of medical care: Building bridges among professional pride, payer profit, and patient satisfaction. JAMA 286(20):2578–2585.CrossrefGoogle Scholar
  • Hair J, Anderson R, Tatham R, Black W (1998) Multivariate Data Analysis, 5th ed. (Prentice Hall, Englewood Cliffs, NJ).Google Scholar
  • Hayes AF (2017) Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Guilford Publications).Google Scholar
  • Hesketh T, Wu D, Mao L, Ma N (2012) Violence against doctors in China. BMJ 345:e5730.CrossrefGoogle Scholar
  • Ho DY-f (1976) On the concept of face. Amer. J. Sociol. 81(4):867–884.CrossrefGoogle Scholar
  • Holroyd-Leduc JM, Lorenzetti D, Straus SE, Sykes L, Quan H (2011) The impact of the electronic medical record on structure, process, and outcomes within primary care: A systematic review of the evidence. J. Amer. Medical Inform. Assoc. 18(6):732–737.CrossrefGoogle Scholar
  • Hong W, Chan FKY, Thong JYL, Chasalow LC, Dhillon G (2013) A framework and guidelines for context-specific theorizing in information systems research. Inform. Systems Res. 25(1):111–136.LinkGoogle Scholar
  • Hu HC (1944) The Chinese concepts of “face.” Amer. Anthropology 46(1):45–64.CrossrefGoogle Scholar
  • Huang Q, Davison RM, Gu J (2008) Impact of personal and cultural factors on knowledge sharing in China. Asia Pacific J. Management 25(3):451–471.CrossrefGoogle Scholar
  • Huang Q, Davison RM, Gu J (2011) The impact of trust, guanxi orientation and face on the intention of Chinese employees and managers to engage in peer‐to‐peer tacit and explicit knowledge sharing. Inform. Systems J. 21(6):557–577.CrossrefGoogle Scholar
  • Hui VKY, Bond MH (2009) Target's face loss, motivations, and forgiveness following relational transgression: Comparing Chinese and US cultures. J. Soc. Personal Relationships 26(2-3):123–140.CrossrefGoogle Scholar
  • Hwang K-K (2012) Face and morality in Confucian society. Hwang K-K, ed. Foundations of Chinese Psychology (Springer, New York, NY), 265–295.CrossrefGoogle Scholar
  • Isaac T, Weissman JS, Davis RB, Massagli M, Cyrulik A, Sands DZ, Weingart SN (2009) Overrides of medication alerts in ambulatory care. Arch. Internal Medicine 169(3):305–311.CrossrefGoogle Scholar
  • Jin WW, Chen J (2016) How busy are doctors? 70 patients in a half day. Zhejiang Online. Accessed March 14, https://zjnews.zjol.com.cn/system/2016/03/14/021064528.shtml.Google Scholar
  • John J (1996) A dramaturgical view of the health care service encounter: cultural value-based impression management guidelines for medical professional behaviour. Eur. J. Marketing 30(9):60–74.CrossrefGoogle Scholar
  • Johns G (2017) Reflections on the 2016 Decade Award: Incorporating context in organizational research. Acad. Management Rev. 42(4):577–595.CrossrefGoogle Scholar
  • Joshi K (1991) A Model of User Perspective on Change: The Case of Information Systems Technology Implementation. MIS Quart. 15(2):229–242.Google Scholar
  • Kahneman D (2011) Thinking, Fast and Slow (Macmillan).Google Scholar
  • Kaplan B, Brennan PF, Dowling AF, Friedman CP, Peel V (2001) Toward an informatics research agenda: Key people and organizational issues. J. Amer. Medicine Inform. Assoc. 8(3):235–241.CrossrefGoogle Scholar
  • Kawamoto K, Houlihan CA, Balas EA, Lobach DF (2005) Improving clinical practice using clinical decision support systems: A systematic review of trials to identify features critical to success. BMJ 330(7494):765.CrossrefGoogle Scholar
  • Keil M, Im GP, Mähring M (2007) Reporting bad news on software projects: The effects of culturally constituted views of face‐saving. Inform. Systems J. 17(1):59–87.CrossrefGoogle Scholar
  • Kim H-W, Kankanhalli A (2009) Investigating user resistance to information systems implementation: A status quo bias perspective. Management Inform. Systems Quart. 33(3):567–582.CrossrefGoogle Scholar
  • Kim JY, Nam SH (1998) The concept and dynamics of face: implications for organizational behavior in Asia. Organ. Sci. 9(4):522–534.LinkGoogle Scholar
  • Kirschbaum K (2012) Physician communication in the operating room: expanding application of face-negotiation theory to the health communication context. Health Comm. 27(3):292–301.CrossrefGoogle Scholar
  • Kirschbaumphd K (2018) Team communication in the operating room: A measure of latent factors from a national sample of nurse anesthetists. AANA J. 86(1):11–18.Google Scholar
  • Kohli R, Tan SS-L (2016) Electronic health records: How can is researchers contribute to transforming healthcare? Management Inform. Systems Quart. 40(3):553–573.CrossrefGoogle Scholar
  • Koole SL, Dijksterhuis A, Van Knippenberg A (2001) What’s in a name: Implicit self-esteem and the automatic self. J. Personality Soc. Psych. 80(4):669.CrossrefGoogle Scholar
  • Lapointe L, Beaudry A (2014) Identifying IT user mindsets: Acceptance, resistance and ambivalence. Proc. 47th Hawaii Internat. Conf. on System Sci. (IEEE, New York), 4619–4628.Google Scholar
  • Lapointe L, Rivard S (2005) A multilevel model of resistance to information technology implementation. Management Inform. Systems Quart. 29(3):461–491.CrossrefGoogle Scholar
  • Laumer S, Eckhardt A (2012) Why do people reject technologies: A review of user resistance theories. Information Systems Theory (Springer, Berlin), 63–86.CrossrefGoogle Scholar
  • Leary MR (2019) Self-Presentation: Impression Management and Interpersonal Behavior (Routledge).CrossrefGoogle Scholar
  • Leung TKP, Chan RY-k (2003) Face, favour and positioning: A Chinese power game. Eur. J. Marketing 37(11/12):1575–1598.Google Scholar
  • Liang H, Xue Y (2009) Avoidance of information technology threats: A theoretical perspective. Management Inform. Systems Quart. 33(1):71–90.CrossrefGoogle Scholar
  • Liang H, Xue Y, Ke W, Wei KK (2010) Understanding the influence of team climate on IT use. J. Assoc. Inform. Systems 11(8):414–432.Google Scholar
  • Lieberman MD (2007) Social cognitive neuroscience: A review of core processes. Annu. Rev. Psych. 58:259–289.CrossrefGoogle Scholar
  • Lieberman MD, Gaunt R, Gilbert DT, Trope Y (2002) Reflexion and reflection: A social cognitive neuroscience approach to attributional inference. Advances in Experimental Social Psychology (Elsevier, New York), 199–249.Google Scholar
  • Markus ML (1983) Power, politics, and MIS implementation. Comm. ACM 26(6):430–444.CrossrefGoogle Scholar
  • Markus ML (2004) Technochange management: Using it to drive organizational change. J. Inform. Tech. 19:3–19.Google Scholar
  • Medlock S, Eslami S, Askari M, Arts DL, van de Glind EM, Brouwer HJ, van Weert HC, et al. (2019) For which clinical rules do doctors want decision support, and why? A survey of Dutch general practitioners. Health Informatics J. 25(3):1076–1090.CrossrefGoogle Scholar
  • Metraux GP (1995) Sculptors and Physicians in Fifth-Century Greece: A Preliminary Study (McGill-Queen's Press).Google Scholar
  • Meyer AN, Payne VL, Meeks DW, Rao R, Singh H (2013) Physicians’ diagnostic accuracy, confidence, and resource requests: A vignette study. JAMA Internal Medicine 173(21):1952–1958.CrossrefGoogle Scholar
  • Mirvis DM (1993) Physicians’ autonomy: The relation between public and professional expectations. New England J. Medicine 328(18):1346–1349.CrossrefGoogle Scholar
  • Mishra AN, Anderson C, Angst CM, Agarwal R (2012) Electronic health records assimilation and physician identity evolution: An identity theory perspective. Inform. Systems Res. 23(3):738–760.Google Scholar
  • Morgeson FP, Humphrey SE (2006) The work design questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of work. J. Appl. Psych. 91(6):1321.CrossrefGoogle Scholar
  • NHC (2019) Statistical Statement on the Development of China’s Healthcare Industry in 2018. National Health Commission of China. Government Document.Google Scholar
  • Nunnally J (1978) Psychometric Theory, 2nd ed. (McGraw-Hill, New York).Google Scholar
  • Osheroff JA, Teich JM, Middleton B, Steen EB, Wright A, Detmer DE (2007) A roadmap for national action on clinical decision support. J. Amer. Medical Inform. Assoc. 14(2):141–145.CrossrefGoogle Scholar
  • Park D-H, Lee J, Han I (2007) The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. Internat. J. Electronic Commerce 11(4):125–148.CrossrefGoogle Scholar
  • Payne JW, Bettman JR, Johnson EJ (1993) The Adaptive Decision Maker (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Peng DX, Lai F (2012) Using partial least squares in operations management research: A practical guideline and summary of past research. J. Oper. Management 30(6):467–480.CrossrefGoogle Scholar
  • Petty RE, Cacioppo JT, Schumann D (1983) Central and peripheral routes to advertising effectiveness: The moderating role of involvement. J. Consumer Res. 10(2):135–146.CrossrefGoogle Scholar
  • Polites GL, Karahanna E (2012) Shackled to the status quo: The inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. Management Inform. Systems Quart. 36(1):21–42.CrossrefGoogle Scholar
  • Poon E, Blumenthal D, Jaggi T, Honour M, Bates D, Kaushal R (2004) Overcoming barriers to adopting and implementing computerized physician order entry systems in US hospitals. Health Affairs 23(4):184–190.CrossrefGoogle Scholar
  • Protzko J, Zedelius CM, Schooler JW (2019) Rushing to appear virtuous: Time pressure increases socially desirable responding. Psych. Sci. 30(11):1584–1591.CrossrefGoogle Scholar
  • Ramani S, Könings KD, Mann KV, Pisarski EE, van der Vleuten CP (2018) About politeness, face, and feedback: Exploring resident and faculty perceptions of how institutional feedback culture influences feedback practices. Acad. Medicine 93(9):1348–1358.CrossrefGoogle Scholar
  • Rand DG, Greene JD, Nowak MA (2012) Spontaneous giving and calculated greed. Nature. 489(7416):427–430.CrossrefGoogle Scholar
  • Romano MJ, Stafford RS (2011) Electronic Health Records and Clinical Decision Support Systems Impact on National Ambulatory Care Quality. Arch. Intern. Med. 171(2).Google Scholar
  • Roshanov PS, Fernandes N, Wilczynski JM, Hemens BJ, You JJ, Handler SM, Nieuwlaat R, Souza NM, Beyene J, Van Spall HG (2013) Features of Effective Computerised Clinical Decision Support Systems: Meta-Regression of 162 Randomised Trials. BMJ. (346):f657.CrossrefGoogle Scholar
  • Saqib NU, Chan EY (2015) Time Pressure Reverses Risk Preferences. Organ. Behav. Human Decision Processes. (130):58–68.CrossrefGoogle Scholar
  • Sharma A (1997) Professional as Agent: Knowledge Asymmetry in Agency Exchange. Acad. Manage. Rev. 22(3):758–798.CrossrefGoogle Scholar
  • Shibl R, Lawley M, Debuse J (2013) Factors influencing decision support system acceptance. Decision Support Systems 54(2):953–961.CrossrefGoogle Scholar
  • Stoddard JJ, Hargraves JL, Reed M, Vratil A (2001) Managed care, professional autonomy, and income. J. General Internal Medicine 16(10):675–684.CrossrefGoogle Scholar
  • Svenson O, Maule AJ (1993) Time Pressure and Stress in Human Judgment and Decision Making (Springer, New York).CrossrefGoogle Scholar
  • Tuncel E, Kong DT, Parks JM, van Kleef GA (2020) Face threat sensitivity in distributive negotiations: Effects on negotiator self-esteem and demands. Organ. Behav. Human Decision Processes 161:255–273.CrossrefGoogle Scholar
  • Venkatesh V, Rai A, Sykes TA, Aljafari R (2016) Combating infant mortality in rural India: Evidence from a field study of ehealth kiosk implementations. Management Inform. Systems Quart. 40(2):353–380.CrossrefGoogle Scholar
  • Vroom VH (1964) Work and Motivation (Wiley, New York).Google Scholar
  • Wallace JE (1995) Organizational and professional commitment in professional and nonprofessional organizations. Admin. Sci. Quart. 40(2):228–255.CrossrefGoogle Scholar
  • Walter Z, Lopez MS (2008) Physician acceptance of information technologies: Role of perceived threat to professional autonomy. Decision Support Systems 46(1):206–215.CrossrefGoogle Scholar
  • Witman Y (2014) What do we transfer in case discussions? The hidden curriculum in medicine. Perspectives Medical Edu. 3(2):113–123.CrossrefGoogle Scholar
  • Xu B, Xu Z, Li D (2016) Internet aggression in online communities: A contemporary deterrence perspective. Inf. Syst. J. 26(6):641–667.CrossrefGoogle Scholar
  • Xue Y, Liang H, Mbarika V, Hauser R, Schwager P, Getahun MK (2015) Investigating the resistance to telemedicine in Ethiopia. Internat. J. Medical Inform. 84(8):537–547.CrossrefGoogle Scholar
  • Yang Q, Steinfeld A, Zimmerman J (2019) Unremarkable AI: Fitting intelligent decision support into critical, clinical decision-making processes. Brewster S, Fitzpatrick G, eds. Proc. CHI Conf. on Human Factors in Comput. Systems (Association for Computing Machinery, New York, NY), 1–11.Google Scholar
  • Yang R, Pepper GA, Wang H, Liu T, Wu D, Jiang Y (2020) The mediating role of power distance and face-saving on nurses’ fear of medication error reporting: A cross-sectional survey. Internat. J. Nursing Stud. 105:103494.CrossrefGoogle Scholar
  • Young M-L, Kuo F-Y, Myers MD (2012) To share or not to share: A critical research perspective on knowledge management systems. Eur. J. Inform. Systems 21(5):496–511.CrossrefGoogle Scholar
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