Skip to main content
Top
Published in: Journal of General Internal Medicine 6/2019

01-06-2019 | Antibiotic | Editorial

So Many Nudges, So Little Time: Can Cost-effectiveness Tell Us When It Is Worthwhile to Try to Change Provider Behavior?

Author: David Atkins, MD, MPH

Published in: Journal of General Internal Medicine | Issue 6/2019

Login to get access

Excerpt

Interest in behavioral economics has grown steadily within health care. Policy makers, payers, and providers now recognize that the decisions of patients and of their doctors frequently deviate from the strictly “rational” choices that classical economic theory would predict. For example, patients rarely adhere to the medication regimens or health behaviors that would optimize their health outcomes, and clinicians often make decisions that conflict with evidence-based recommendations or even the practices they profess to endorse. The groundbreaking work of psychologist Daniel Kahneman and his collaborator Amos Tversky raised attention to this field, which was accelerated by Kahneman’s 2002 Nobel Prize in economics and his popular 2011 book “Thinking Fast and Slow” which reached a much broader audience. [1] Behavioral economics examines cognitive, psychological, and cultural factors that may influence how we make decisions, resulting in behavior that another Nobel laureate, economist Richard Thaler, has termed “predictably irrational.” Principles from behavioral economics have been adopted to health care, including the role of heuristics (rules of thumb), the importance of framing, and the effects of specific cognitive biases (for example, overconfidence and status quo bias) [2]. These principles have been incorporated into interventions that seek to use these insights to change health-related behaviors—these include nudges, where systems are redesigned to make the preferred choice the default choice (for example, making generic versions the default in electronic prescribing); incentive programs that reward patients for taking their medications on schedule or getting preventive interventions like immunizations; and specific interventions aimed at how clinicians respond to information or make decisions. …
Literature
1.
go back to reference Kahneman D. Thinking Fast and Slow. New York: Farrah, Straus and Giroux, 2011. Kahneman D. Thinking Fast and Slow. New York: Farrah, Straus and Giroux, 2011.
3.
go back to reference Havers FP, Hicks LA, Chung JR, Gaglani M, Murthy K, Zimmerman RK, et al. Outpatient antibiotic prescribing for acute respiratory infections during influenza seasons. JAMA Netw Open 2018;1(2):e180243.CrossRefPubMedPubMedCentral Havers FP, Hicks LA, Chung JR, Gaglani M, Murthy K, Zimmerman RK, et al. Outpatient antibiotic prescribing for acute respiratory infections during influenza seasons. JAMA Netw Open 2018;1(2):e180243.CrossRefPubMedPubMedCentral
4.
go back to reference Jones BE, Sauer B, Jones MM, Campo J, Damal K, He T, et al. Variation in outpatient antibiotic prescribing for acute respiratory infections in the veteran population: a cross-sectional study. Ann Intern Med 2015;163:73–80. Jones BE, Sauer B, Jones MM, Campo J, Damal K, He T, et al. Variation in outpatient antibiotic prescribing for acute respiratory infections in the veteran population: a cross-sectional study. Ann Intern Med 2015;163:73–80.
5.
go back to reference Tonkin-Crine SKG, Tan PS, van Hecke O, et al. Clinician-targeted interventions to influence antibiotic prescribing behavior for acute respiratory infections in primary care: an overview of systematic reviews. Cochrane Database of Systematic Reviews 2017, Issue 9. Art. No.: CD012252. Tonkin-Crine SKG, Tan PS, van Hecke O, et al. Clinician-targeted interventions to influence antibiotic prescribing behavior for acute respiratory infections in primary care: an overview of systematic reviews. Cochrane Database of Systematic Reviews 2017, Issue 9. Art. No.: CD012252.
7.
go back to reference Meeker D, Linder JA, Fox CR, Friedberg MW, Persell SD, Goldstein NJ, et al. Effect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial. JAMA 2016: 315(6):562–70.CrossRefPubMedPubMedCentral Meeker D, Linder JA, Fox CR, Friedberg MW, Persell SD, Goldstein NJ, et al. Effect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial. JAMA 2016: 315(6):562–70.CrossRefPubMedPubMedCentral
8.
go back to reference Gawande A. Why doctors hate their computers. New Yorker. https://www.newyorker.com/magazine/2018/11/12/why-doctors-hate-their-computers. Accessed 12 Nov 2018. Gawande A. Why doctors hate their computers. New Yorker. https://​www.​newyorker.​com/​magazine/​2018/​11/​12/​why-doctors-hate-their-computers.​ Accessed 12 Nov 2018.
Metadata
Title
So Many Nudges, So Little Time: Can Cost-effectiveness Tell Us When It Is Worthwhile to Try to Change Provider Behavior?
Author
David Atkins, MD, MPH
Publication date
01-06-2019
Publisher
Springer US
Keyword
Antibiotic
Published in
Journal of General Internal Medicine / Issue 6/2019
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-019-04871-5

Other articles of this Issue 6/2019

Journal of General Internal Medicine 6/2019 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine