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Cited by 215

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

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

Open access
Vlaev, Ivo, King, Dominic, Dolan, Paul, Darzi, Ara·2016·Public Administration Review

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.

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Metadata

Authors
Vlaev, I., King, D., Dolan, P., & Darzi, A.
Venue
Public Administration Review
Publisher
Wiley
Published
2016-05-12
Volume
76
Issue
4
Pages
550-561
ISSN
  • 0033-3352 (ISSN-L)
  • 1540-6210
OpenAlex
W2376333580
Cited by
215
References
35
FWCI
9.16
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Theory and Practice of “Nudging”: Changing Health Behaviors. https://app.cochat.ai/papers/10.1111/puar.12564
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Vlaev, I., King, D., Dolan, P., & Darzi, A. (2016). The Theory and Practice of “Nudging”: Changing Health Behaviors. Public Administration Review. https://doi.org/10.1111/puar.12564

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.