There were some significant differences between BCTs reported in implementation and de-implementation interventions suggesting that researchers may have implicit theories about different BCTs required for de-implementation and implementation. These findings do not imply that the BCTs identified as targeting implementation or de-implementation are effective, rather simply that they were more frequently used. These findings require replication for a wider range of clinical behaviours. The continued accumulation of additional knowledge and evidence into whether implementation and de-implementation is different will serve to better inform researchers and, subsequently, improve methods for intervention design.
Psychological reactance theory (PRT; Brehm, 1966) posits that when something threatens or eliminates people’s freedom of behavior, they experience psychological reactance, a motivational state that drives freedom restoration. Complementing recent, discipline-specific reviews (e.g., Quick, Shen, & Dillard, 2013; Steindl, Jonas, Sittenthaler, Traut-Mattausch, & Greenberg, 2015), the current analysis integrates PRT research across fields in which it has flourished: social psychology and clinical psychology, as well as communication research.
The key in all this is crossing the chasm—performing the acts that allow the first shoots of that mainstream market to emerge. This is a do-or-die proposition for high-tech enterprises; hence it is logical that they be the crucible in which “chasm theory” is formed. But the principles can be generalized to other forms of marketing, so for the general reader who can bear with all the high-tech examples in this book, useful lessons may be learned.
SHIFT is an acronym for five psychological factors that make consumers more inclined to engage in pro-environmental behaviours: social influence, habit formation, individual self, feelings and cognition, and tangibility.
The behavioural change enterprise disproportionately focuses on promoting successes at the expense of examining the failures of behavioural change interventions. We review the literature across different fields through a causal explanatory approach to identify structural relations that impede (or promote) the success of interventions. Based on this analysis we present a taxonomy of failures of behavioural change that catalogues different types of failures and backfiring effects. Our analyses and classification offer guidance for practitioners and researchers alike, and provide critical insights for establishing a more robust foundation for evidence-based policy. Behavioural change techniques are currently used by many global organisations and public institutions. The amassing evidence base is used to answer practical and scientific questions regarding what cognitive, affective, and environment factors lead to successful behavioural change in the laboratory and in the field. In this piece we show that there is also value to examining interventions that inadvertently fail in achieving their desired behavioural change (e.g., backfiring effects). We identify the underlying causal pathways that characterise different types of failure, and show how a taxonomy of causal interactions that result in failure exposes new insights that can advance theory and practice.
Includes “periodic table“ of behavior change techniques
not really a lit review, but covers key behavior change concepts and how they can be applied to covid
The Patient Activation Measure is a valid, highly reliable, unidimensional, probabilistic Guttman‐like scale that reflects a developmental model of activation. Activation appears to involve four stages: (1) believing the patient role is important, (2) having the confidence and knowledge necessary to take action, (3) actually taking action to maintain and improve one's health, and (4) staying the course even under stress. The measure has good psychometric properties indicating that it can be used at the individual patient level to tailor intervention and assess changes. (https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1475-6773.2004.00269.x)
We are a global collaboration aimed at improving evaluation practice and theory through co-creation, curation, and sharing information.
theory of change
A CONCEPTUAL FRAMEWORK FOR SOCIAL AND BEHAVIOUR CHANGE PROGRAMMING Corrected URL: https://www.unicef.org/mena/reports/behavioural-drivers-model
a measurement instrument for evaluating susceptibility to seven social influence principles, namely social learning, social comparison, social norms, social facilitation, social cooperation, social competition, and social recognition
Systems theory, rebalancing the whole
Behavioral spillovers refer to the influence that a given intervention targeting behavior 1 exerts on a subsequent, non-targeted, behavior 2, which may or may not be in the same domain (health, finance, etc.) as one another. So, a nudge to exercise more, for example, could lead people to eat more or less, or possibly even to give more or less to charity depending on the nature of the spillover. But what if spillovers also operate backward; that is, if the expectation of behavior 1 influences behavior 0 that precedes it? For example, a person may form an intention to exercise prompted by a policy intervention but overeat at present as a result. We define such a possibility as a “spillunder.” In the proposed article, we critically review the few papers that we have identified through a narrative literature review which have demonstrated spillunder effects to date, and we propose a conceptual framework.
Diverse guidance exists on how to best design and use a TOC. In this curriculum (Theory of Change: Facilitator’s Guide and all accompanying materials), we present one method that does its best to align to the requirements of creating a development hypothesis for Development Food Security Activities (DFSA) funded by USAID’s Office of Food for Peace (FFP). Previous experience in program and TOC development, participant feedback from six years of TOPS workshops, and input from the FFP Monitoring and Evaluation Team all helped craft this curriculum. We update it each year to align to the most current FFP guidance for DFSA implementers and to share newly discovered training tips.
“I realized that when you're not in pain or cold or experiencing a powerful emotion like anger or fear, it's very difficult to imagine yourself in that situation,“ he says. This phenomenon can help us understand why we sometimes act in ways that mystify us, whether it's making an impulsive decision when we're hungry or freezing in a moment when we expected to be assertive. This week on Hidden Brain, we explore how certain situations cause us to become strangers to ourselves. We hear from people who can't reconcile the person they believe themselves to be with their actions while in the grip of an intense feeling. And we look at the deep psychological mystery that occurs during these moments: no matter how many times we discover the strangers living inside us, the next time always catches us by surprise.
there is no clear consensus on how long it takes to form a habit is because this has nothing to do with the behavior pattern itself and everything to do with the underlying coherence of the values dictating that behavior.
Extension of System 1/System 2 thinking model from a social ecological perspective - Systems 1-5
Nearly every major challenge the United States faces—from alleviating unemployment to protecting itself from terrorism—requires understanding the causes and consequences of people’s behavior. Even societal challenges that at first glance appear to be issues only of medicine or engineering or computer science have social and behavioral components. Having a fundamental understanding of how people and societies behave, why they respond the way they do, what they find important, what they believe or value, and what and how they think about others is critical for the country’s well-being in today’s shrinking global world. The diverse disciplines of the social, behavioral, and economic (SBE) sciences ―anthropology, archaeology, demography, economics, geography, linguistics, neuroscience, political science, psychology, sociology, and statistics―all produce fundamental knowledge, methods, and tools that provide a greater understanding of people and how they live.
A habit is not necessarily a single action. Many behaviors that you may want to turn into habits have sub-actions involved in either instigating or executing the behavior. So there are a number of possible entry points to intervene to support the development of that habit.
However, when the ZCCP video was combined with the social nudge : “Many people in your community have also watched this video,’’ the video shifted the perception of social norms towards less acceptance of GBV i.e. people were more likely to believe that their community found GBV unacceptable and more likely to think that their community thought GBV was a serious issue.
research on health comm messaging effects
To do so, we drew on a theoretical framework which highlights that defaults operate through three channels: first, defaults work because they reflect an implicit endorsement from the choice architect—your company’s HR department, your city’s policy office, your credit card company, your child’s school. Second, defaults work because staying with the defaulted choice is easier than switching away from it. Third, defaults work because they endow decision makers with an option, meaning they’re less likely to want to give it up, now that it’s theirs. As a result, we hypothesized that default designs that trigger more of these channels (also called the three Es: endorsement, ease, and endowment) would be more effective. In our analysis, we find partial support for this idea. That is, we find that studies that were designed to trigger endorsement (defaults that are seen as conveying what the choice architect thinks the decision maker should do) or endowment (defaults that are seen as reflecting the status quo) were more likely to be effective. In addition, we find that defaults in consumer domains tend to be more effective, and that defaults in pro-environmental domains (such as green energy defaults) tend to be less effective.
This commentary argues that social marketing and the application of behavioural sciences to policy constitute two converging paths towards better policies. It highlights points of convergence and divergence between both disciplines and the potential benefits of further embedding social marketing principles and methods within the recent trend of applying behavioural sciences to policy.
If marketers were all playing a fantasy nerd version of rock-paper-scissors, then “heart” would almost always beat “head.”
Fear appeals are effective. The present meta-analysis found that fear appeals were successful at influencing attitudes, intentions, and behaviors across nearly all conditions that were analyzed. Even when a moderator was unrelated to fear appeal effectiveness, fear appeals were still more effective than comparison treatments. Further, there was not one level of any moderator that we tested for which fear appeals backfired to produce worse outcomes relative to the comparison groups.
In a meta-analysis of real-life experiments drawn from food science, nutrition, health economics, marketing and psychology, the authors find that behavioural nudges - facilitating action rather than providing knowledge or inducing feelings - can reduce daily energy intake by up to 209 kcal, the same number of calories as in 21 cubes of sugar.
Social networks provide a powerful approach for health behavior change. This article documents how social network interventions have been successfully utilized for a range of health behaviors including HIV risk practices, smoking, exercise, dieting, family planning, bullying, and mental health. We review the literature that suggests relationship between health behaviors and social network attributes demonstrate a high degree of specificity. The article then examines hypothesized social influence mechanisms including social norms, modeling, and social rewards and the factors of social identity and social rewards that can be employed to sustain social network interventions. Areas of future research avenues are highlighted, including the need to examine and analytically adjust for contamination and social diffusion, social influence versus differential affiliation, and network change. Use and integration of mhealth and face-to-face networks for promoting health behavior change are also critical research areas.
Successfully adopting a complex, positive behavior involves (I) making a DECISION to adopt the new behavior, (II) performing a number of ACTIONs that comprise the new behavior, and (III) ensuring the CONTINUATION of the relevant conditions for success as time passes. More specifically, a person will very likely engage in a new positive behavior if ten conditions are met. There are three conditions to meet in the DECISION phase (Considers, Desires, Intends), six conditions to meet for every ACTION (Remembers, Believes, Chooses, Knows, Has, Embodies), and one condition to meet for CONTINUATION (Maintains).
We applied a Hidden Markov Model* (see Figure 1) to examine how and why behaviours did or did not change. The longitudinal repeated measure design meant we knew about food waste behaviour at two points (the amount of food wasted before and after the program), changes in the amount of food wasted reported over time for each household (more or less food wasted) and other factors (e.g. self-efficacy). By using a new method we could extend our understanding beyond the overall effect (households in the Waste Not Want Not program group wasted less food after participating when compared to the control group).
“Tracking your daily activity with a pedometer, wearable, or smartphone is an important part of any physical activity program,” Patel said by email. “However, it should be combined with other behavior change strategies such as goal-setting, coaching, or social interventions to increase sustainability.”