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Public Administration Review
Article . 2016 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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The Theory and Practice of “Nudging”: Changing Health Behaviors

Authors: Vlaev, Ivo; King, Dominic; Dolan, Paul; Darzi, Ara;

The Theory and Practice of “Nudging”: Changing Health Behaviors

Abstract

Abstract Many of the most significant challenges in health care—such as smoking, overeating, and poor adherence to evidence‐based guidelines—will only be resolved if we can influence behavior. The traditional policy tools used when thinking about influencing behavior include legislation, regulation, and information provision. Recently, policy analysts have shown interest in policies that “nudge” people in particular directions, drawing on advances in understanding that behavior is strongly influenced in largely automatic ways by the context within which it is placed. This article considers the theoretical basis for why nudges might work and reviews the evidence in health behavior change. The evidence is structured according to the Mindspace framework for behavior change. The conclusion is that insights from behavioral economics offer powerful policy tools for influencing behavior in health care. This article provides public administration practitioners with an accessible summary of this literature, putting these insights into practical use.

Country
United Kingdom
Keywords

Public Administration, POPULATION HEALTH, Social Sciences, Political Science & Public Administration, SELF-EFFICACY, SMOKING-CESSATION, DECISION-MAKING, RANDOMIZED-TRIAL, 1606 Political Science, 1605 Policy And Administration, PUBLIC-POLICY, FINANCIAL INCENTIVES, CHANGE INTERVENTIONS, LARGE SOCIAL NETWORK, BOUNDED RATIONALITY

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    160
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
160
Top 1%
Top 10%
Top 10%
Green
bronze