Choosing not to follow rules that will reduce the spread of COVID-19

Effective health communication depends on the interaction of message source and content: two experiments on adherence to COVID-19 measures in Türkiye

OBJECTIVE

Following the COVID-19 outbreak, authorities recommended preventive measures to reduce infection rates. However, adherence to calls varied between individuals and across cultures. To determine the characteristics of effective health communication, we investigated three key features: message source, content, and audience.

METHODS

Using a pre-test and two experiments, we tested how message content (emphasizing personal or social benefit), audience (individual differences), message source (scientists or state officials), and their interaction influence adherence to preventive measures. Using fliers advocating preventive measures, Experiment 1 investigated the effects of message content and examined the moderator role of individual differences. Experiment 2 presented the messages using news articles and manipulated sources.

RESULTS

Study 1 found decreasing adherence over time, with no significant impact from message content or individual differences. Study 2 found messages emphasizing 'protect yourself' and 'protect your country' to increase intentions for adherence to preventive measures. It also revealed an interaction between message source and content whereby messages emphasizing personal benefit were more effective when they came from healthcare professionals than from state officials. However, message source and content did not affect vaccination intentions or donations for vaccine research.

CONCLUSION

Effective health communication requires simultaneous consideration of message source and content.

A Process-Based Analysis of Cognitive Defusion in Acceptance and Commitment Therapy

Cognitive defusion is among the main components of Acceptance and Commitment Therapy (ACT), a contextual behavioral approach to psychotherapy. Defusion serves as a middle-level term, and, as such, may be useful for applying and disseminating behavior science, despite its lower precision. However, some authors argue that for middle-level terms in psychotherapy to be useful to clinicians, they need to be clearly linked to basic behavioral concepts, with higher precision; and that this is not currently the case with defusion. Our objective is to increase the pragmatic utility of the concept of "cognitive defusion" by providing a more nuanced, multifaceted and process-based definition of the term. In order to do this, we surveyed the ACT literature regarding defusion and critically examined it through the lens of conceptual analysis. This culminated in a revised and updated conceptualization of defusion in terms of its relationship to basic behavioral concepts, in which defusion is an outcome that may be achieved through different processes.

Rule-Governed Behavior and Climate Change: Why Climate Warnings Fail to Motivate Sufficient Action

Climate scientists warn of dire consequences for ecological systems and human well-being if significant steps to mitigate greenhouse gas emissions are not taken immediately. Despite these warnings, greenhouse gas concentrations continue to rise, indicating that current responses are inadequate. Climate warnings and reactions to them may be analyzed in terms of rules and rule-governed behavior. The literature on rule-governed behavior in behavior analysis has identified a variety of factors that can reduce rule following, including insufficient rule exposure, insufficient learning history and rule complexity, incomplete rules, instructed behavior not sufficiently learned, rules having weak function-altering effects, conflicting rules, lack of speaker credibility, rule plausibility and inconsistency with prior learning, and insufficient reinforcement for rule following. The present paper aims to analyze how these factors might impact responses to climate change, and possible solutions and strategies are discussed. Much of the theory and research on climate-change communication has come from outside of behavior analysis. Thus, the paper also aims to integrate findings from this literature with a behavior-analytic approach to rule control. Interpreting climate warnings and climate solutions in terms of rule-governed behavior may improve our understanding of why such rules are not more effective, and aid in the development of verbal and nonverbal strategies for changing behavior and reducing greenhouse gas emissions.

Influence of diverse kinds of persuasive messages on intention to stay home during COVID-19 pandemic: Moderating role of media type

This study highlights the influence of diverse kinds of persuasive messages on intention to stay home during COVID-19 pandemic. The COVID-19 pandemic is believed to be the top modern societal challenge necessitating extensive collective action and collaboration. The statistical population included Iranian individuals by answering our online survey questionnaires at diverse phases of the COVID-19 pandemic. 406 completed questionnaires were gathered and analyzed. Note that, according to the official reports, Iran encountered COVID-19 disease since February 19, 2020. Data collection was started on July 18, 2020 (at the beginning of second wave of COVID-19 in Iran) and lasted until October 30, 2020. Various social network platforms including Instagram, WhatsApp, Facebook and Telegram were used for distribution of the questionnaires. According to the results, perceived severity and perceived self-efficacy had an insignificant direct influence on intention to stay home. From another perspective, perceived vulnerability (β = 0.261, CI = 0.059; 0.242]) and perceived response efficacy (β = 0.502, CI = 0.347; 0.656]) positively and significantly affected the intention to stay home. Moreover, no significant difference was found between these two kinds of media messages in research sample. Our findings showed that “perceived response efficacy” has the highest importance score of 0.502; if the perceived response efficacy performance is boosted by one unit point by individuals during COVID-19 pandemic, its overall intention to stay home will increase by 0.502. Besides, our results showed that lowest performance (78.104) is associated with perceived vulnerability highlighting an excellent opportunity for improvement in this area.

Exploring the relationships between rule-governed behavior and adherence to guidelines aiming to reduce the spread of COVID-19

Research demonstrates that socially mediated consequences impact adherence to health mandates during pandemics. However, no published research has examined whether adherence varies based on the extent to which an individual relies on arbitrary social approval (i.e., displays generalized pliance). The present study explored the relationships between adherence to COVID-19 public health measures, two types of rule-following (pliance and tracking), and perceived peer behavior in a sample of adults (n = 288). Findings revealed that adherence was negatively correlated with generalized pliance and tracking was unrelated to adherence. Pliance did not moderate the relationship between peer adherence and individual adherence. Findings are discussed with reference to the need to develop easily adaptable and context sensitive measures of types of rule-following, in addition to a measure of social tracking.

Countercontrol: A Relational Frame Theory (RFT) Account and Revival of a 70-Year-Old Skinnerian Term

Countercontrol is a Skinnerian operant concept that posits that an individual's attempts to exert control over another person's behavior may evoke a countercontrolling response from the person being controlled that functions to avoid or escape the potentially aversive conditions generated by the controller. Despite Skinner's historical concerns regarding the detrimental effects of countercontrol in terms of hindering optimal societal growth and cultural evolution, the concept has not been widely applied within behavior analysis. Drawing from recent developments in rule-governed behavior and relational frame theory, this article seeks to explicate countercontrol from a contemporary behavior analytic perspective and presents several modern-day societal applications. In particular, a relational frame theory account of rule-governed behavior is used as a framework to elucidate the behavioral processes by which rule-following occurs (or fails to occur) in the context of countercontrol. Implications of a renewed focus on countercontrol for understanding pressing societal issues are also discussed.

Dificuldades no engajamento às medidas contra a COVID-19

Como motivação pró-social, a compaixão tende a promover maior envolvimento em mentalidades de cuidado e ações de senso coletivo, capacidades prejudicadas pelos medos da compaixão. O estudo objetivou investigar o papel dos medos da compaixão em fatores envolvidos no engajamento às medidas de distanciamento social. 284 adultos (idade média = 36,47) responderam as Escalas de Medos da Compaixão, Escala de Dificuldades de Regulação Emocional e um questionário sobre engajamento aos protocolos contra a COVID-19. Um modelo de path analysis explicou 32% da variância na adesão aos protocolos por duas vias: o medo de ser compassivo por outros diminui o engajamento por motivações pró-sociais; enquanto os medos de expressar compaixão por si e outros predizem maiores dificuldades de regulação emocional, diminuindo a aderência por exaustão emocional. Oportunizar o desenvolvimento da compaixão pode contribuir para um enfrentamento mais saudável às dificuldades emocionais suscitadas pela pandemia e no envolvimento em ações coletivas.

Ensuring Effective Public Health Communication: Insights and Modeling Efforts From Theories of Behavioral Economics, Heuristics, and Behavioral Analysis for Decision Making Under Risk

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.

A Proposed Functional Analysis of Transmission Prevention Behaviors for a Respiratory Virus (SARS-CoV-2)

The coronavirus (SARS-CoV-2) pandemic has had a global impact on lives everywhere and has led to the disruption of, and interference with, virtually every aspect of life. In response, leading experts, political leaders, doctors, and scientists have released guidelines that attempt to prevent and mitigate the exponential rate of infection. The response to these safety recommendations has produced tremendous behavior variability as a society. Although a plethora of factors are likely relevant, a more complete analysis of human behavior during this time might help explain this disparity. The principles of applied behavior analysis allow for a functional analysis of an individual's use of transmission prevention behaviors (TPBs) during the SARS-CoV-2 pandemic. Thus, the purpose of this discussion is to provide a conceptual analysis for some possible explanations for why individuals might or might not engage in virus TPBs, as well as some recommendations to help combat the current pandemic, as well as those in the future.

Heterogeneity in preventive behaviors during COVID-19: Health risk, economic insecurity, and slanted information

The present study examines whether people respond heterogeneously to statewide social distancing mandates as a function of factors that proxy for health risk, economic insecurity, and media consumption. Using longitudinal data of 7400 American adults between March 10 and June 23, 2020, the study examines social-distancing and mask-wearing behaviors. We use a staggered difference-in-difference model to explore whether state policies lead to preventive behaviors. We further examine heterogeneity in individual responses to state mandates by including interaction terms with health risk, economic insecurity, and media consumption. The study finds that state policies lead to increased adoption of these behaviors. Our findings also suggest that old age and living with the elderly are key predictors of preventive behavior adoption in the presence or even absence of state mandates. However, the economically insecure, such as the unemployed, those with low incomes and net worth, or without health insurance, are less likely to adopt preventive behaviors regardless of the mandates. The adoption of the behaviors is also polarized between CNN users and Fox News/Social Media users, with greater compliance by the former.