Literature DB >> 24125790

Better medicine by default.

Cara Ansher1, 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.

Entities:  

Keywords:  default; electronic medical records; medical decision making; medical education; medical errors

Mesh:

Year:  2013        PMID: 24125790     DOI: 10.1177/0272989X13507339

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  8 in total

1.  Nudging physician prescription decisions by partitioning the order set: results of a vignette-based study.

Authors:  David Tannenbaum; Jason N Doctor; Stephen D Persell; Mark W Friedberg; Daniella Meeker; Elisha M Friesema; Noah J Goldstein; Jeffrey A Linder; Craig R Fox
Journal:  J Gen Intern Med       Date:  2014-11-14       Impact factor: 5.128

2.  The Effect of a Mobile Health Decision Support System on Diagnosis and Management of Obesity, Tobacco Use, and Depression in Adults and Children.

Authors:  Suzanne Bakken; Haomiao Jia; Elizabeth S Chen; Jeeyae Choi; Rita Marie John; Nam-Ju Lee; Eneida Mendonca; William Dan Roberts; Olivia Velez; Leanne M Currie
Journal:  J Nurse Pract       Date:  2014       Impact factor: 0.767

3.  Can Behavioral Research Improve Transplant Decision-Making? A Mock Offer Study on the Role of Kidney Procurement Biopsies.

Authors:  Darren Stewart; Brian Shepard; John Rosendale; Harrison McGehee; Isaac Hall; Gaurav Gupta; Kunam Reddy; Bertram Kasiske; Kenneth Andreoni; David Klassen
Journal:  Kidney360       Date:  2020-01-06

4.  Architecting Process of Care: A randomized controlled study evaluating the impact of providing nonadherence information and pharmacist assistance to physicians.

Authors:  Margaret McConnell; William Rogers; Emilia Simeonova; Ira B Wilson
Journal:  Health Serv Res       Date:  2019-12-13       Impact factor: 3.402

5.  Nudge, nudge, wink, wink: Nudging is giving reasons.

Authors:  Neil Levy
Journal:  Ergo (Ann Arbor)       Date:  2019

6.  Screening for Hepatitis C Virus: How Universal Is Universal?

Authors:  Ravi Jhaveri
Journal:  Clin Ther       Date:  2020-07-23       Impact factor: 3.393

7.  Using behavioral insights to design implementation strategies in public mental health settings: a qualitative study of clinical decision-making.

Authors:  Briana S Last; Simone H Schriger; Carter E Timon; Hannah E Frank; Alison M Buttenheim; Brittany N Rudd; Sara Fernandez-Marcote; Carrie Comeau; Sosunmolu Shoyinka; Rinad S Beidas
Journal:  Implement Sci Commun       Date:  2021-01-11

8.  Australian health care providers' views on opt-out HIV testing.

Authors:  Stacy Leidel; Ruth McConigley; Duncan Boldy; Sally Wilson; Sonya Girdler
Journal:  BMC Public Health       Date:  2015-09-14       Impact factor: 3.295

  8 in total

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