Abstract

Public health (PH) messaging can have an enormous impact on shaping how individuals within society behave, and can ensure it is in a safe and responsible way, consistent with up-to-date evidence-based PH guidelines. If done effectively, messaging can save lives and improve the health of those within society. However, unfortunately, those within Government PH bodies typically have little training about how to effectively represent PH messages in a way that is consistent with psychological theories of cognitive bias, in order to avoid cognitively biasing the public through their messages. As a result of this, inadequate representation of PH messages can result, which can often lead to cognitive bias in those from the public who read or listen to the message information. This can lead to poor decision making of the pubic as a whole, which can then further lead to harm and even death of public members as a result of these poor decisions. One way to minimize the problem of bias in decision making is to explore psychology theories that model how bias can occur from PH messaging, and identify ways in which PH agencies can utilize such approaches to improve the effectiveness of their messages. Previous focus has been largely on behavioral economic theories, however, here, other accounts are offered in addition to these. These include theories of heuristics and theories from the behavior analysis domain, which may increase the predictive power of modeling bias, and have applications for how best to represent PH message information which minimize bias.

Highlights

  • Effective public health (PH) messaging can have a very positive impact on the health of those within society who follow the evidence-based guidelines contained within the messages (Chambers et al, 2005; Rimal and Lapinski, 2009; Bassil and Cole, 2010)

  • One model which maybe be useful in providing this contextual information is behavioral analysis (BA), and this may be helpful in offering an alternative perspective of why biases occur, and how best Public health (PH) messages can be improved through such an approach

  • From this relational frame theory (RFT) perspective of rule-governed behavior, humans as verbal organisms can learn through applicable relational responding (AARR) any arbitrary rule, for example, they can learn that a five-cent coin is worth less than a 10-cent coin despite the fact that the five-cent coin is physically larger than the 10-cent coin in physical size (Hayes et al, 2003; Vilardaga et al, 2007)

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Summary

INTRODUCTION

Effective public health (PH) messaging can have a very positive impact on the health of those within society who follow the evidence-based guidelines contained within the messages (Chambers et al, 2005; Rimal and Lapinski, 2009; Bassil and Cole, 2010). PH messaging that is ineffective can lead to higher stress and stigma (Puhl and Heuer, 2010; Coupet et al, 2021) as well as facilitate cognitive bias (Garcia-Retamero and Galesic, 2010; McKee and Stuckler, 2010; Luz et al, 2020)

Effective Communication
BIASED DECISIONS FROM BEHAVIORAL ECONOMIC PERSPECTIVES
Simple HeurisƟcs
True PosiƟve
BIASED DECISIONS FROM A BEHAVIORAL ANALYSIS PERSPECTIVE
Behavioral decision resultant from relaƟonal framing network
Types of rules
MATHEMATICAL CONSIDERATIONS FOR RELATIONAL FRAME MODELING OF RISKY DECISIONS
Markov decision process opƟmizaƟon strategies
Findings
AARR REC Model
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