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Better Medicine by Default

Author

Listed:
  • Cara Ansher
  • Dan Ariely
  • Alisa Nagler
  • Mariah Rudd
  • Janet Schwartz
  • Ankoor Shah

Abstract

Background. American health care is transitioning to electronic physician ordering. These computerized systems are unique because they allow custom order interfaces. Although these systems provide great benefits, there are also potential pitfalls, as the behavioral sciences have shown that the very format of electronic interfaces can influence decision making. The current research specifically examines how defaults in electronic order templates affect physicians’ treatment decisions and medical errors. Methods. Forty-five medical residents completed order sets for 3 medical case studies. Participants were randomly assigned to receive order sets with either “opt-in†defaults (options visible but unselected) or “opt-out†defaults (options visible and preselected). Results compare error rates between conditions and examine the type and severity of errors most often made with opt-in versus opt-out defaults. Results. Opt-out defaults resulted in a greater number of items ordered and specifically increased commission errors (overordering) compared with opt-in defaults. However, while opt-in defaults resulted in fewer orders, they also increased omission errors. When the severity of the errors is taken into account, the default effects seem limited to less severe errors. Conclusion. The defaults used in electronic order sets influence medical treatment decisions when the consequences to a patient’s health are low. This pattern suggests that physicians cognitively override incorrect default choices but only to a point, and it implies tradeoffs that maximize accuracy and minimize cognitive effort. Results indicate that defaults for low-impact items on electronic templates warrant careful attention because physicians are unlikely to override them.

Suggested Citation

  • Cara Ansher & Dan Ariely & Alisa Nagler & Mariah Rudd & Janet Schwartz & Ankoor Shah, 2014. "Better Medicine by Default," Medical Decision Making, , vol. 34(2), pages 147-158, February.
  • Handle: RePEc:sae:medema:v:34:y:2014:i:2:p:147-158
    DOI: 10.1177/0272989X13507339
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    References listed on IDEAS

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    1. Brigitte C. Madrian & Dennis F. Shea, 2001. "The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1149-1187.
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    1. Rosanna Nagtegaal & Lars Tummers & Mirko Noordegraaf & Victor Bekkers, 2019. "Nudging healthcare professionals towards evidence-based medicine: A systematic scoping review," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 2(2).

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