Skip to main content

Advertisement

Log in

Willingness to Report Medical Incidents in Healthcare: a Psychological Model Based on Organizational Trust and Benefit/Risk Perceptions

  • Published:
The Journal of Behavioral Health Services & Research Aims and scope Submit manuscript

Abstract

Many healthcare organizations have incident reporting systems to reduce and prevent medical errors. However, many systems have failed or not been implemented due to medical professionals’ reluctance to report errors made by themselves or others. This study investigated the factors influencing their willingness to report incidents voluntarily. A psychological model based on the trust heuristic was proposed, hypothesizing that organizational trust could affect willingness to report based on the perceived benefits and risks of incident reporting or directly influence willingness to report. Three hundred twenty participants were recruited from 19 provinces in China to participate in an online survey conducted between June and July 2018. Participants included doctors, nurses, medical technicians, medical service staff, and administrative staff from different hospitals. All had access to incident reporting systems. Partial least squares structural equation modeling (PLS-SEM) was applied to examine the proposed psychological model. Participants had a modest willingness of reporting. Organizational trust was found to, directly and indirectly, affect participants’ willingness to report their own incidents. Compared with perceived risk, perceived benefit was a more important predictor for willingness of reporting and a more important mediator in the effect of organizational trust on willingness of reporting. Our results highlight the importance of increasing the perceived benefit from incident reporting and building a “trust culture” for improving incident reporting.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Kohn LT, Corrigan JM, Donaldson MS. To Err Is Human: Building a Safer Health System. Washington, D.C.: National Academies Press; 2000.

    Google Scholar 

  2. Leape LL. Editorial: Why should we report adverse incidents? Journal of Evaluation in Clinical Practice. 1999;5(1):1–4.

    Article  CAS  PubMed  Google Scholar 

  3. Leistikow I, Mulder S, Vesseur J et al. Learning from incidents in healthcare: The journey, not the arrival, matters. BMJ Quality & Safety. 2017;26(3):252–256.

    Article  Google Scholar 

  4. Waring JJ. Beyond blame: Cultural barriers to medical incident reporting. Social Science & Medicine. 2005;60(9):1927–1935.

    Article  Google Scholar 

  5. Vincent C, Stanhope N, Crowley-Murphy M. Reasons for not reporting adverse incidents: An empirical study. Journal of Evaluation in Clinical Practice. 1999;5(1):13–21.

    Article  CAS  PubMed  Google Scholar 

  6. Yung H-P, Yu S, Chu C et al. Nurses’ attitudes and perceived barriers to the reporting of medication administration errors. Journal of Nursing Management. 2016;24(5):580–588.

    Article  PubMed  Google Scholar 

  7. Chiang H-Y, Lee H-F, Lin S-Y et al. Factors contributing to voluntariness of incident reporting among hospital nurses. Journal of Nursing Management. 2019;27(4):806–814.

    Article  PubMed  Google Scholar 

  8. Hung C-C, Chu T-P, Lee B-O et al. Nurses’ attitude and intention of medication administration error reporting. Journal of Clinical Nursing. 2016;25(3-4):445–453.

    Article  PubMed  Google Scholar 

  9. Vincent C, Amalberti R. Safer Healthcare: Strategies for the Real World. London, UK: Springer; 2016.

    Book  Google Scholar 

  10. Vrbnjak D, Denieffe S, O’Gorman C et al. Barriers to reporting medication errors and near misses among nurses: A systematic review. International Journal of Nursing Studies. 2016;63:162–178.

    Article  PubMed  Google Scholar 

  11. Chiang H-Y, Lin S-Y, Hsu S-C et al. Factors determining hospital nurses' failures in reporting medication errors in Taiwan. Nursing Outlook. 2010;58(1):17–25.

    Article  PubMed  Google Scholar 

  12. Hartnell N, MacKinnon N, Sketris I et al. Identifying, understanding and overcoming barriers to medication error reporting in hospitals: A focus group study. BMJ Quality & Safety. 2012;21(5):361–368.

    Article  Google Scholar 

  13. Barach P, Small SD. Reporting and preventing medical mishaps: Lessons from non-medical near miss reporting systems. BMJ. 2000;320(7237):759–763.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Edmondson A. Psychological safety and learning behavior in work teams. Administrative Science Quarterly. 1999;44(2):350–383.

    Article  Google Scholar 

  15. Kingston MJ, Evans SM, Smith BJ et al. Attitudes of doctors and nurses towards incident reporting: A qualitative analysis. Medical Journal of Australia. 2004;181(1):36–39.

    Article  Google Scholar 

  16. Wakefield DS, Wakefield BJ, Uden-Holman T et al. Understanding why medication administration errors may not be reported. American Journal of Medical Quality. 1999;14(2):81–88.

    Article  CAS  PubMed  Google Scholar 

  17. Chiang H-Y, Pepper GA. Barriers to nurses’ reporting of medication administration errors in Taiwan. Journal of Nursing Scholarship. 2006;38(4):392–399.

    Article  PubMed  Google Scholar 

  18. Gronewold U, Gold A, Salterio SE. Reporting self-made errors: The impact of organizational error-management climate and error type. Journal of Business Ethics. 2013;117(1):189–208.

    Article  Google Scholar 

  19. Evans SM, Berry JG, Smith BJ et al. Attitudes and barriers to incident reporting: A collaborative hospital study. Quality and Safety in Health Care. 2006;15(1):39–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Reason J. Human error: Models and management. British Medical Journal. 2000;320(7237):768–770.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Heard GC, Sanderson PM, Thomas RD. Barriers to adverse event and error reporting in Anesthesia. Anesthesia & Analgesia. 2012;114(3):604–614.

    Article  Google Scholar 

  22. Pfeiffer Y, Manser T, Wehner T. Conceptualising barriers to incident reporting: A psychological framework. Quality and Safety in Health Care. 2010;19(6):e60.

    CAS  PubMed  Google Scholar 

  23. Lawton R, Parker D. Barriers to incident reporting in a healthcare system. Quality and Safety in Health Care. 2002;11(1):15–18.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Kreckler S, Catchpole K, McCulloch P et al. Factors influencing incident reporting in surgical care. Quality and Safety in Health Care. 2009;18(2):116–120.

    Article  CAS  PubMed  Google Scholar 

  25. Haw C, Stubbs J, Dickens GL. Barriers to the reporting of medication administration errors and near misses: An interview study of nurses at a psychiatric hospital. Journal of Psychiatric and Mental Health Nursing. 2014;21:797–805.

    Article  CAS  PubMed  Google Scholar 

  26. Lee Y-H, Yang C-C, Chen T-T. Barriers to incident-reporting behavior among nursing staff: A study based on the theory of planned behavior. Journal of Management & Organization. 2016;22(1):1–18.

    Article  CAS  Google Scholar 

  27. Karsh B-T, Escoto KH, Beasley JW et al. Toward a theoretical approach to medical error reporting system research and design. Applied Ergonomics. 2006;37(3):283–295.

    Article  PubMed  Google Scholar 

  28. Wu J-H, Shen W-S, Lin L-M et al. Testing the technology acceptance model for evaluating healthcare professionals' intention to use an adverse event reporting system. International Journal for Quality in Health Care. 2008;20(2):123–129.

    Article  PubMed  Google Scholar 

  29. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991;50(2):179–211.

    Article  Google Scholar 

  30. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989;13(3):319–340.

    Article  Google Scholar 

  31. Rogers EM. Diffusion of Innovations. New York: Simon & Schuster; 2003.

    Google Scholar 

  32. Siegrist M. A causal model explaining the perception and acceptance of gene technology. Journal of Applied Social Psychology. 1999;29(10):2093–2106.

    Article  Google Scholar 

  33. Siegrist M. The influence of trust and perceptions of risks and benefits on the acceptance of gene technology. Risk Analysis. 2000;20(2):195–204.

    Article  CAS  PubMed  Google Scholar 

  34. Bronfman NC, Vázquez EL. A cross-cultural study of perceived benefit versus risk as mediators in the trust-acceptance relationship. Risk Analysis. 2011;31(12):1919–1934.

    Article  PubMed  Google Scholar 

  35. Liu P, Yang R, Xu Z. Public acceptance of fully automated driving: Effects of social trust and risk/benefit perceptions. Risk Analysis. 2019;39(2):326–341.

    Article  PubMed  Google Scholar 

  36. Rousseau DM, Sitkin SB, Burt RS et al. Not so different after all: A cross-discipline view of trust. Academy of Management Review. 1998;23(3):393–404.

    Article  Google Scholar 

  37. Firth-Cozens J. Organisational trust: The keystone to patient safety. Quality and Safety in Health Care. 2004;13(1):56–61.

    Article  CAS  PubMed  Google Scholar 

  38. Pfeiffer Y, Briner M, Wehner T et al. Motivational antecedents of incident reporting: Evidence from a survey of nurses and physicians. Swiss Medical Weekly. 2013;143:w13881.

    PubMed  Google Scholar 

  39. Cummings L. The “trust” heuristic: Arguments from authority in public health. Health Communication. 2014;29(10):1043–1056.

    Article  PubMed  Google Scholar 

  40. Clark RE, Xie H, Becker DR et al. Benefits and costs of supported employment from three perspectives. Journal of Behavioral Health Services & Research. 1998;25(1):22–34.

    Article  CAS  Google Scholar 

  41. Zhao B, Olivera F. Error reporting in organizations. Academy of Management Review. 2006;31(4):1012–1030.

    Article  Google Scholar 

  42. Uribe CL, Schweikhart SB, Pathak DS et al. Perceived barriers to medical-error reporting: An exploratory investigation. Journal of Healthcare Management. 2002;47(4):263–279.

    Article  PubMed  Google Scholar 

  43. Mayer RC, Davis JH, Schoorman FD. An integrative model of organizational trust. Academy of Management Review. 1995;20(3):709–734.

    Article  Google Scholar 

  44. Siegrist M, Cvetkovich G, Roth C. Salient value similarity, social trust, and risk/benefit perception. Risk Analysis. 2000;20(3):353–362.

    Article  CAS  PubMed  Google Scholar 

  45. Robinson SL. Trust and breach of the psychological contract. Administrative Science Quarterly. 1996;41(4):574–599.

    Article  Google Scholar 

  46. Cook J, Wall T. New work attitude measures of trust, organizational commitment and personal need non-fulfilment. Journal of Occupational Psychology. 1980;53(1):39–52.

    Article  Google Scholar 

  47. Nyhan RC, Marlowe HA. Development and psychometric properties of the organizational trust inventory. Evaluation Review. 1997;21(5):614–635.

    Article  Google Scholar 

  48. Wilson B, Bekker HL, Fylan F. Reporting of Clinical Adverse Events Scale: A measure of doctor and nurse attitudes to adverse event reporting. Quality and Safety in Health Care. 2008;17:364–367.

    Article  CAS  PubMed  Google Scholar 

  49. Hair JF, Hult GTM, Ringle CM et al. A Primer on Partial Least Squares Structural Equation Model (PLS-SEM). London, UK: SAGE; 2014.

    Google Scholar 

  50. Lindell MK, Whitney DJ. Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology. 2001;86(1):114–121.

    Article  CAS  Google Scholar 

  51. Podsakoff PM, Organ DW. Self-reports in organizational research: Problems and prospects. Journal of Management. 1986;12(4):531–544.

    Article  Google Scholar 

  52. Podsakoff PM, MacKenzie SB, Lee J-Y et al. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology. 2003;88(5):879–903.

    Article  Google Scholar 

  53. Liang H, Saraf N, Hu Q et al. Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management. MIS Quarterly. 2007;31(1):59–88.

    Article  Google Scholar 

  54. Falk RF, Miller NB. A Primer for Soft Modeling. Akron, OH: University of Akron Press; 1992.

    Google Scholar 

  55. Hu Lt, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. 1999;6(1):1–55.

    Article  Google Scholar 

  56. Chin WW, Todd PA. On the use, usefulness, and ease of use of structural equation modeling in MIS research: A note of caution. MIS Quarterly. 1995;19(2):237–246.

    Article  Google Scholar 

  57. Benn J, Koutantji M, Wallace L et al. Feedback from incident reporting: Information and action to improve patient safety. Quality and Safety in Health Care. 2009;18(1):11–21.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank all medical staffs who participated in the survey.

Funding

This work was supported by the National Natural Science Foundation of China (Project No. 71871158) and Philosophy and Social Science Planning Project Fund Office of Tianjin (Project No. TJGL19-017).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peng Liu PhD.

Ethics declarations

Declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, X., Zhao, S., Liu, N. et al. Willingness to Report Medical Incidents in Healthcare: a Psychological Model Based on Organizational Trust and Benefit/Risk Perceptions. J Behav Health Serv Res 48, 583–596 (2021). https://doi.org/10.1007/s11414-021-09753-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11414-021-09753-5

Navigation