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BACKGROUND: Physical activity is associated with a lower risk of major adverse cardiovascular events, but few individuals achieve guideline-recommended levels of physical activity. Strategies informed by behavioral economics increase physical activity, but their longer-term effectiveness is uncertain. We sought to determine the effect of behaviorally designed gamification, loss-framed financial incentives, or their combination on physical activity compared with attention control over 12-month intervention and 6-month postintervention follow-up periods. METHODS: Between May 2019 and January 2024, participants with clinical atherosclerotic cardiovascular disease or a 10-year risk of myocardial infarction, stroke, or cardiovascular death of ≥7.5% by the Pooled Cohort equation were enrolled in a pragmatic randomized clinical trial. Participants received a wearable device to track daily steps, established a baseline, selected a step goal increase, and were randomly assigned to control (n=151), behaviorally designed gamification (n=304), loss-framed financial incentives (n=302), or gamification+financial incentives (n=305). The primary outcome of the trial was the change in mean daily steps from baseline through the 12-month intervention period. RESULTS: A total of 1062 patients (mean±SD age, 67±8; 61% female; 31% non-White) were enrolled. Compared with control subjects, participants had significantly greater increases in mean daily steps from baseline during the 12-month intervention in the gamification arm (adjusted difference, 538.0 [95% CI, 186.2–889.9]; P =0.0027), financial incentives arm (adjusted difference, 491.8 [95% CI, 139.6–844.1]; P =0.0062), and gamification+financial incentives arm (adjusted difference, 868.0 [95% CI, 516.3–1219.7]; P <0.0001). During the 6-month follow-up, physical activity remained significantly greater in the gamification+financial incentives arm than in the control arm (adjusted difference, 576.2 [95% CI, 198.5–954]; P =0.0028), but it was not significantly greater in the gamification (adjusted difference, 459.8 [95% CI, 82.0–837.6]; P =0.0171) or financial incentives (adjusted difference, 327.9 [95% CI, −50.2 to 706]; P =0.09) arms after adjustment for multiple comparisons. CONCLUSIONS: Behaviorally designed gamification, loss-framed financial incentives, and the combination of both increased physical activity compared with control over a 12-month intervention period, with the largest effect in gamification+financial incentives. These interventions could be a useful component of strategies to reduce cardiovascular risk in high-risk patients. REGISTRATION: URL: https://clinicaltrials.gov; Unique Identifier: NCT03911141. [ABSTRACT FROM AUTHOR]

Introduction: Annual influenza vaccination reduces disease burden but vaccination rates are suboptimal, with persistent disparities among subpopulations. The purpose of this trial is to evaluate multicomponent behavioural economic nudge interventions to clinicians and patients to increase influenza vaccination. This trial also includes an intensification nudge to reduce disparities in vaccination among older adult, primary care patients., Methods: This is a two-part, multisite cluster randomised, pragmatic clinical trial. In the first part, a multicomponent nudge intervention will be tested over approximately 6 months (September 2023-February 2024). The second part consists of a replication trial conducted at an additional site during the following influenza season (September 2024-February 2025). Primary care clinics will be randomised to the nudge intervention or usual care. Eligible clinicians and patients at intervention clinics will receive the intervention, and patients deemed high risk for not receiving a vaccine will be further randomised to receive an intensification nudge. The primary outcome is vaccine completion during the eligible visit and the secondary outcome is vaccine completion within 3 months of the eligible visit., Analysis: The effect of the clinic-level nudge intervention on the primary and secondary outcomes will be evaluated using generalised estimating equations (GEEs) with a clinic-level exchangeable working correlation to account for clustering of observations within the clinic. GEE models with an independent working correlation will be used to evaluate the impact of the additional intensification nudge on the primary and secondary outcomes., Ethics and Dissemination: The University of Pennsylvania Institutional Review Board (IRB) approved this trial and serves as the single IRB of record (IRB #851838). Results will be disseminated via peer-reviewed publication and conference presentations., Trial Registration Number: NCT06057727., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Studies suggest that reduced-nicotine cigarettes decrease nicotine intake and dependence. However, questions remain about reduced-nicotine cigarette abuse liability, whether reduced-nicotine cigarette exposure lowers reduced- and full-nicotine cigarette use, and whether reduced-nicotine cigarettes substitute for full-nicotine cigarettes. This randomized, double-blind laboratory study used operant behavioral economics to examine abuse liability of cigarettes with varying nicotine content. Non-treatment-seeking smokers (N = 43) self-administered reduced- (5.2, 2.4, or 1.3 mg/g) and full-nicotine (15.8 mg/g) cigarettes before and after 3 weeks of at-home exposure. Participants were randomized to full-nicotine or one of the reduced-nicotine cigarettes to determine the effect of exposure on abuse liability and substitutability. Abuse liability was assessed in single-commodity sessions, and substitutability was measured in concurrent-commodity sessions. In the self-administration sessions, concurrently available reduced-nicotine cigarettes attenuated full-nicotine cigarette demand and rendered reduced-nicotine cigarettes partial substitutes for full-nicotine cigarettes. Exposure to study cigarettes for 3 weeks marginally reduced demand for reduced- and full-nicotine cigarettes irrespective of nicotine content. Results suggest a limited influence of nicotine content on smoking behavior in established smokers and highlight the role of nonpharmacological factors (e.g., taste/smell) on the maintenance of smoking. These results should be considered in determining whether a nicotine-reduction standard is a feasible path for reducing cigarette demand., (© 2024 Society for the Experimental Analysis of Behavior.)

Cognitive economics is an emerging interdisciplinary field that uses the tools of cognitive science to study economic and social decision-making. Although most strains of cognitive economics share commitments to bridging levels of analysis (cognitive, behavioral, and systems) and embracing interdisciplinary approaches, we review a newer strand of cognitive economic thinking with a further commitment: conceptualizing minds and markets each as complex adaptive systems. We describe three ongoing research programs that strive toward these goals: (i) studying narratives as a cognitive and social representation used to guide decision-making; (ii) building cognitively informed agent-based models; and (iii) understanding markets as an extended mind - the Market Mind Hypothesis - analyzed using the concepts, methods, and tools of Coordination Dynamics., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Objectives: Unlike the United States general population, veteran women - as opposed to veteran men - have greater smoking prevalence; yet, little is known regarding factors that influence smoking in veteran women. The purpose of this study was to begin examining the relationship between a psychological concept known as moral injury and demand for cigarettes among veteran women., Methods: Veteran women who smoke (n = 44) were recruited for this cross-sectional study from Amazon MTurk, Reddit, and a veteran-serving non-profit organization in June-July 2023. Consenting participants received $2 for completing the cigarette purchase task (CPT), Fagerstrom Test for Nicotine Dependence (FTND), and the military version of the Moral Injury Symptom Scale (MISS-M-SF). We examined five CPT demand indices and calculated a modified exponential demand model stratified by moral injury severity status (i.e., probable vs. unlikely)., Results: Probable morally injured women exhibited significantly higher relative reinforcing value (RRV) for smoking than unlikely morally injured women (F 1, 920  = 9.16, p = 0.003). Average cigarette consumption at $0 (i.e., Q 0 ) was 48.56% higher (M = 22.24 vs. M = 13.55) in probable compared to unlikely morally injured women (p = 0.04, Hedge's g = 0.74). FTND scores were significantly correlated with P max (i.e., demand elasticity point) and O max (i.e., maximum expenditure) values in both populations (rs = 0.42-0.68, ps < 0.05)., Conclusions: We provide preliminary evidence of the relatively high RRV of smoking in morally injured veteran women. Continued research is needed to refine the characterization of this relationship., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Adolescent girls and young women (AGYW) in southern Africa face triple the HIV incidence of their male peers due to multiple factors, including economic deprivation and age-disparate relationships. A new study by Aurélia Lépine and colleagues has demonstrated that addressing healthcare costs among AGYW has the potential to reduce HIV incidence., Competing Interests: RVB reports that Regeneron Pharmaceuticals covered the cost of conference abstract and manuscript writing, outside of the submitted work. RVB serves on a Gilead Sciences DMC for which she is paid an honorarium., (Copyright: © 2024 Heitner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Suicide is a leading cause of death for young people globally. Professional organizations such as the American Academy of Pediatrics (AAP) recommend suicide screening for every young person at every healthcare contact and these guidelines are now being implemented across the US. To optimize deployment of these guidelines, we draw on insights from two parallel fields, implementation science - or the study of how to support clinicians in providing evidence-based care within organizational constraints - and behavioral economics, which centers human decision-making. In this brief review, we offer potential barriers to suicide screening and strategies to address barriers drawing on these two literatures, illustrating how best to integrate insights from these fields for maximal impact., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Social norms and financial incentives are both known to shape the decisions people make about prosocial actions. This paper reviews the financial incentives in normative systems (FINS) model, which integrates theories of social norms from communication, social psychology, and behavioral economics to predict relationships among incentives, norms, and behaviors. It addresses how incentives can affect norms and how they change the effects of norms on behaviors. The model shows how strategic communication (framing) of social norms and incentives can shape the way people respond to incentives, minimizing unwanted outcomes and even enhancing the effectiveness of behavioral incentive payments. These insights can guide hypothesis testing and application to real-world use of incentives for behavior change., Competing Interests: Declaration of competing interest The authors declare no conflict of interest exists in relation to the content of this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Behavioral economic demand for cannabis and alcohol is robustly associated with cannabis use and alcohol use, respectively. However, few studies have examined the contributions of cannabis and alcohol demand to simultaneous cannabis and alcohol use, which is common among young adults. We examined prospective associations of cannabis demand and alcohol demand with propensity for simultaneous use (broadly defined as using both cannabis and alcohol in the same day) and with cannabis and alcohol consumption during simultaneous use days among young adults. Young adults reporting simultaneous use ( N = 107) completed a Marijuana Purchase Task assessing cannabis demand and an Alcohol Purchase Task assessing alcohol demand. They then completed daily smartphone surveys over 21 days assessing cannabis and alcohol use. Multilevel models revealed that higher cannabis demand (i.e., higher O max , P max , and intensity; lower elasticity) was uniquely associated with greater propensity for simultaneous use relative to nonuse. In addition, higher alcohol demand (lower elasticity) was uniquely associated with greater propensity for simultaneous use relative to cannabis-only use, and higher cannabis demand (higher break point and intensity, lower elasticity) was uniquely associated with greater propensity for simultaneous use relative to alcohol-only use. Furthermore, in models limited to simultaneous use days, greater cannabis demand (higher O max , lower elasticity) and lower alcohol demand (higher elasticity) were uniquely associated with greater overall cannabis flower consumption, and higher alcohol demand (higher O max , lower elasticity) was uniquely associated with greater overall alcohol consumption. Results suggest that individual differences in cannabis and alcohol demand may contribute to simultaneous cannabis and alcohol use behaviors in a substance-specific pattern. Furthermore, cannabis demand may more strongly drive the tendency to engage in simultaneous use (vs. nonuse) relative to alcohol demand. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Pre-trained large language models (LLMs) have garnered significant attention for their ability to generate human-like textand responses across various domains. This study delves into examines the social and strategic behavior of the commonly used LLM GPT-3.5 by investigating its suggestions in well-established behavioral economics paradigms. Specifically, we focus on socialpreferences, including altruism, reciprocity, and fairness, in the context of two classic economic games: the Dictator Game(DG) and the Ultimatum Game (UG). Our research aims to answer three overarching questions: (1) To what extent do GPT-3.5suggestions reflect human social preferences? (2) How do socio-demographic features of the advisee and (3) technicalparameters of the model influence the suggestions of GPT-3.5? We present detailed empirical evidence from extensiveexperiments with GPT-3.5, analyzing its responses to various game scenarios while manipulating the demographics of theadvisee and the model temperature. Our findings reveal that, in the DG Dictator Game, model suggestions are more altruistic than in humans.We further show that it also picks up on more subtle aspects of human social preferences: fairness and reciprocity. Thisresearch contributes to the ongoing exploration of AI-driven systems' alignment with human behavior and social norms,providing valuable insights into the behavior of pre-trained LLMs and their implications for human-AI interactions.Additionally, our study offers a methodological benchmark for future research examining human-like characteristics andbehaviors in language models., (© 2024. The Author(s).)

There is a need for theory-based approaches to reduce heavy drinking in youths. Anchoring is a process in which people make estimates by starting from an initial value that is adjusted to yield a final answer. In this study, we determined the effectiveness of anchoring heuristics in estimating the price of a bottle of alcohol and its effect on heavy drinking in young people. In a sample of 327 young people in Mexico, participants completed a survey on alcohol drinking and anchoring heuristics. We found that when the anchor was shown and the participants were explicitly directed to the anchor value, the mean estimates of the price reported by the participants increased, indicating that the participants were pulled up toward the anchor. Anchoring effects were found to affect on the willingness of the alcohol consumers to pay. In this context, alcohol prices (anchor condition) were higher for heavy drinking. We discuss the implications of our results and future directions for research on anchoring effects in heavy drinking. We concluded that anchoring provides novel insights into the consequences of anchoring effects in alcohol drinking.

Introduction: Considering recent and proposed bans on menthol cigarettes, methods are needed to understand the substitutability of potential menthol cigarette alternatives (MCAs) for menthol cigarettes. This study examined the prospective relationship between behavioral economic demand indices and subjective effects of usual brand menthol cigarettes (UBMC) and preferred MCAs with subsequent performance on a laboratory-based concurrent-choice task comparing UBMC and MCAs., Methods: Eighty participants who typically smoked menthol cigarettes completed this clinical laboratory study. After sampling each product, participants completed the cigarette purchase task (CPT) and modified cigarette evaluation questionnaire (mCEQ). Following 1 week of substituting their preferred MCA for their UBMC, participants completed a 90-minute concurrent-choice self-administration (SA) task comparing their UBMC and preferred MCA. Linear regression models explored associations between CPT demand indices and mCEQ subjective effects in the laboratory with subsequent response effort for UBMCs on the concurrent-choice task., Results: Three demand indices for UBMC were positively associated with UBMC response effort: essential value (EV; p = .02), Omax (p = .02), and breakpoint (p = .04). Four CPT demand indices for the preferred MCA significantly corresponded with UBMC response effort: EV (p = .03), price associated with maximal expenditure (Pmax) (p = .04), maximal expenditure (Omax) (p = .03), and breakpoint (p = .03). Subjective effects captured by the mCEQ were not associated with response effort., Conclusions: Demand indices reflecting Persistence (ie, sensitivity to escalating price) predicted effort to obtain UBMC puffs on the concurrent-choice task. Among this sample, the CPT captured information on the relative reinforcing value (ie, addiction potential) of combustible tobacco products similar to the longer SA task., Implications: In an ever-changing product market, assessing the reinforcing efficacy of menthol cigarettes and putative substitutes quickly and with validity is an important methodological tool for understanding abuse liability. Results suggest that behavioral economic demand indices of CPT efficiently capture information on the relative reinforcing value of UBMC and plausible alternative tobacco products, similar to a 90-minute in-laboratory SA task., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Literature concerning operant behavioral economics shows a strong preference for the coefficient of determination (R 2 ) metric to (a) describe how well an applied model accounts for variance and (b) depict the quality of collected data. Yet R 2 is incompatible with nonlinear modeling. In this report, we provide an updated discussion of the concerns with R 2 . We first review recent articles that have been published in the Journal of the Experimental Analysis of Behavior that employ nonlinear models, noting recent trends in goodness-of-fit reporting, including the continued reliance on R 2 . We then examine the tendency for these metrics to bias against linear-like patterns via a positive correlation between goodness of fit and the primary outputs of behavioral-economic modeling. Mathematically, R 2 is systematically more stringent for lower values for discounting parameters (e.g., k) in discounting studies and lower values for the elasticity parameter (α) in demand analysis. The study results suggest there may be heterogeneity in how this bias emerges in data sets of varied composition and origin. There are limitations when using any goodness-of-fit measure to assess the systematic nature of data in behavioral-economic studies, and to address those we recommend the use of algorithms that test fundamental expectations of the data., (© 2024 Society for the Experimental Analysis of Behavior.)

Improving intimate partner violence interventions requires understanding pathways to change among couples participating in these interventions. This article presents qualitative data from 18 males and 16 females who participated in a combined behavioral economics (contingency management) and cognitive behavioral therapy alcohol and violence reduction intervention trial in Bengaluru, India. Results confirmed several theorized pathways of change, as well as identified further mechanisms through which the intervention supported the change. These included the emotional impacts of incentives, perceived and actual accountability via breathalyzers and family involvement, and enhanced support gained through counseling skills. Findings reveal critical insights into intervention design for future implementation., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Low loss aversion (LA) and high delay discounting (DD) are behavioral-economic decision-making biases that independently predict cigarette smoking and other risky substance use. Here we examine (1) whether low-LA and high-DD co-occur, (2) does co-occurrence increase the odds of current smoking and other substance use compared to only low-LA, high-DD, or neither; and (3) potential gender differences in these associations., Method: Data are from five studies with U.S. adults who currently smoked or never-smoked cigarettes recruited using online convenience sampling matching on gender and education. Participants completed identical sociodemographic, substance use (cigarette, other drugs, alcohol), and LA (hypothetical 50-50 gambles) and DD (monetary-choice questionnaire) measures. LA and DD scores were dichotomized as low and high using Receiver-Operating-Characteristic Curve logistic regression., Results: LA and DD each independently predicted substance use and with few exceptions were not influenced by gender. Low-LA compared to high-LA predicted two-fold greater odds of co-occurring high-DD (AOR = 2.120, 95%CI:1.749-2.571, p < .0001). Similarly, high-DD compared to low DD predicted two-fold greater odds of low-LA (AOR = 2.118, 95%CI:1.747-2.568, p < .0001). Among those with co-occurring low-LA and high-DD, odds of substance use were 5-10 times greater than those exhibiting neither, and 2-3 times greater than those exhibiting only low-LA or high-DD., Conclusions: Low-LA and high-DD cluster in women and men such that exhibiting one of these decision-making biases doubles the odds of exhibiting the other. These results demonstrate reliable clustering of low-LA and high-DD and a striking increase in risk for substance use relative to having only one or neither decision-making bias., Competing Interests: Declaration of competing interest Funding was provided by a Mentored Research Scientist Development award (K01-DA044456 to E.A.T.) from the National Institute on Drug Abuse, Tobacco Centers of Regulatory Science award (U54-DA036114 to S.T.H.) from the National Institute on Drug Abuse and Food and Drug Administration, and Centers of Biomedical Research Excellence award (P30-GM149331 to S.T.H.) from the National Institute on General Medical Sciences. The content of this report is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or Food and Drug Administration. The authors declare no conflicts of interest. The author [Stephen Higgins] is an Editorial Board Member/Editor-in-Chief/Associate Editor/Guest Editor for Preventive Medicine and was not involved in the editorial review or the decision to publish this article., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Germline genetic testing is recommended for an increasing number of conditions with underlying genetic etiologies, the results of which impact medical management. However, genetic testing is underutilized in clinics due to system, clinician, and patient level barriers. Behavioral economics provides a framework to create implementation strategies, such as nudges, to address these multi-level barriers and increase the uptake of genetic testing for conditions where the results impact medical management., Methods: Patients meeting eligibility for germline genetic testing for a group of conditions will be identified using electronic phenotyping algorithms. A pragmatic, type 3 hybrid cluster randomization study will test nudges to patients and/or clinicians, or neither. Clinicians who receive nudges will be prompted to either refer their patient to genetics or order genetic testing themselves. We will use rapid cycle approaches informed by clinician and patient experiences, health equity, and behavioral economics to optimize these nudges before trial initiation. The primary implementation outcome is uptake of germline genetic testing for the pre-selected health conditions. Patient data collected through the electronic health record (e.g. demographics, geocoded address) will be examined as moderators of the effect of nudges., Discussion: This study will be one of the first randomized trials to examine the effects of patient- and clinician-directed nudges informed by behavioral economics on uptake of genetic testing. The pragmatic design will facilitate a large and diverse patient sample, allow for the assessment of genetic testing uptake, and provide comparison of the effect of different nudge combinations. This trial also involves optimization of patient identification, test selection, ordering, and result reporting in an electronic health record-based infrastructure to further address clinician-level barriers to utilizing genomic medicine. The findings may help determine the impact of low-cost, sustainable implementation strategies that can be integrated into health care systems to improve the use of genomic medicine., Trial Registration: ClinicalTrials.gov. NCT06377033. Registered on March 31, 2024. https://clinicaltrials.gov/study/NCT06377033?term=NCT06377033&rank=1., (© 2024. The Author(s).)

The deleterious health effects of prolonged sitting and physical inactivity are well-established, yet these behaviors are pervasive in modern culture. To inform interventions aimed at reducing sedentary behavior and increasing lifestyle activity, this study examined psychological and behavioral economic factors that may be associated with these behaviors. This cross-sectional study was conducted among 4072 adults in Israel. Participants completed a survey pertaining to lifestyle behaviors and economic preferences using an online platform in September 2020. The psychological and behavioral economic factors of interest were patience, self-control, risk-taking, grit, and general self-efficacy. Sedentary behavior and lifestyle activity (e.g., time spent moving about) was assessed using the Rapid Assessment Disuse Index (RADI) tool (higher score indicative of more sitting and less activity). Multivariable linear and logistic regression analyses examined the association between psychological and behavioral economic factors and RADI score. Among 4072 participants, those who were impatient (vs. patient, β: -1.13; 95% CI: -1.89, -0.38) had higher grit (β: -1.25, 95% CI: -1.73, -0.77), and those who were more risk-seeking (β: -0.23; 95% CI: -0.33, -0.13) had lower RADI scores (i.e., less sedentary, more active). Significant associations for grit and risk-taking were also observed when the RADI score was dichotomized, such that individuals who had higher grit or were more risk-seeking were more likely to be non-sedentary/active. No significant associations were observed for self-control or general self-efficacy. Higher grit and more risk-seeking were associated with a decreased propensity for sedentary behaviors and inactivity; these factors may provide targets for interventions aimed at reducing sedentary behavior and increasing lifestyle activity.

Behavioral economics offers a unique opportunity to understand the social, cognitive, and psychological nuances that may influence health behavior. The purpose of this article is to demonstrate the application of NUDGE, a novel behavioral economics and design thinking framework, to address barriers to antiretroviral therapy adherence among adolescents living with HIV in eSwatini. NUDGE comprises five steps: (1) Narrow the focus to a specific target behavior, (2) Understand the context of the behavior through inquiry, (3) Discover behavioral insights related to the target behavior, (4) Generate intervention design features to address behavioral barriers to the target behavior, and (5) Evaluate the design features through iterative pilot testing. This article demonstrates the application of the Discover and Generate steps using qualitative data. In showing the utility of the NUDGE framework, we provide a practical tool for creating interventions informed by behavioral insights.

Behavioral economic frameworks emphasize the importance of contextual influences on alcohol use; therefore, identifying relative demand for alcohol versus other commodities is of importance. Cross-commodity purchase tasks allow participants to make choices across multiple concurrently available commodities and can thereby pinpoint interactions among those commodities. These tasks may help identify relevant substance-free alternative activities to target in alcohol treatment by determining whether the activity functions as a substitute for alcohol use. While substance-free activity promotion is a promising behavioral component of alcohol interventions, no research to-date has used behavioral economic methods to assess the substitutability of alternative activities for alcohol use. The present studies were preliminary assessments of novel single- and cross-commodity purchase tasks of various alternative activities (e.g., exercise, hobbies, civic involvement). Participants in Study 1 recruited from Amazon's Mechanical Turk ( n = 110) were administered a series of novel activity purchase tasks and an alcohol purchase task. Results showed excellent fit of the exponential demand equation to activity purchase task data and provided initial support for adaptation of purchase task methodology to alternative activity demand. In Study 2, participants recruited from Amazon's Mechanical Turk ( n = 108) were administered both single-commodity and cross-commodity purchase tasks of alcohol and exercise. While most participants demonstrate independent consumption of alcohol and exercise, a subset of participants substituted exercise for alcohol as indicated by quantitative cross-price elasticity indices. These response patterns highlight the importance of individual differences and hold implications for recovery efforts that promote alternative activity engagement and public policy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objectives: This integrative scoping review explores the applications of behavioral economics within higher education, particularly, through the lens of nudging (a concept that leverages insights from economics and psychology to guide individuals' decisions subtly). The primary objective is to provide a broad overview of interventions that use behavioral economics principles and, secondarily, discuss their potential to improve pharmacy education and create a foundation for future research in this area., Findings: The review analyzed 89 studies that applied behavioral economics principles in higher education settings. Reminders and prompts were the most frequently used principles, with generally positive outcomes, especially in enrollment management. Framing, incentives, and salience also demonstrated effectiveness, depending on the context. Social norms and simplification showed mixed results, whereas priming, loss aversion, feedback, comparison, and commitment had varying degrees of success in influencing behavior., Summary: Behavioral economics principles offer valuable insights and tools for enhancing various aspects of education. The review highlights the potential for using these principles to improve student engagement, enrollment processes, and health and well-being initiatives. However, it emphasizes the importance of context-specific design and careful implementation when applying these interventions. Future research opportunities exist to further explore the applications of behavioral economics in pharmacy education and beyond., Competing Interests: Declaration of Competing Interest None declared., (Copyright © 2024 American Association of Colleges of Pharmacy. Published by Elsevier Inc. All rights reserved.)

Behavioral economic theory has been extensively applied to understand alcohol use disorder (AUD). Applications of behavioral economic theory conceptualize AUD as a pattern of harmful alcohol use over extended periods of time in which choices between drinking or engaging in alcohol-free activities favor drinking. Recovery, in contrast, entails a sustained shift toward a pattern of selecting rewarding alcohol-free activities. The present study examined whether alcohol-free activity engagement and the relative-reinforcement value (RRV) of engaging in those activities predicted AUD treatment outcomes via secondary analysis of data from Project MATCH, a multisite randomized clinical trial examining behavioral treatments for AUD ( N = 1,279, 75.8% male, 81.0% non-Hispanic White, 9.5% Black, 7.7% Hispanic/Latino, 1.5% American Indian/Alaska Native, < 1% Asian American, and other race/ethnicity). Regression analyses indicated that every additional alcohol-free activity reported at 6 months posttreatment was associated with 7% fewer drinking days, 5% fewer heavy drinking days, and approximately one less drink per drinking day, as well as with significant improvements in depression, purpose in life, and psychosocial functioning at 12 months following treatment. Consistent with behavioral economic theory, higher RRV of alcohol-free activities also predicted significant reductions in drinking and improvements in functioning, and these associations were stronger compared to results for alcohol-free activity frequency only. The findings highlight the importance of understanding environmental contexts conducive to recovery and support the value of increasing alcohol-free activity engagement and the RRV of engaging in such activities to facilitate reductions in drinking and improved functioning among individuals with AUD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: Social behaviour plays a key role in mental health and wellbeing, and developing greater understanding of mechanisms underlying social interaction-particularly social motivation-holds substantial transdiagnostic impact. Common rodent behavioural assays used to assess social behaviour are limited in their assessment of social motivation, whereas the social operant conditioning model can provide unique and valuable insights into social motivation. Further characterisation of common experimental parameters that may influence social motivation within the social operant model, as well as complementary methodological and analytical approaches, are warranted., Methods: This study investigated the effects of biological sex, housing condition, and time-of-day, on social motivation using the social operant model. This involved training rats to lever press (FR1) for 60-s access to a social reward (same-sex conspecific stimulus). Subjects were male and female Wistar rats, housed under individual or paired conditions, and sessions were conducted either in the mid-late light phase (ZT6-10) or early-mid dark phase (ZT13-17). A behavioural economics approach was implemented to measure social demand and the influence of stimulus partner sex (same- vs. opposite-sex stimulus) on social operant responding. Additionally, video tracking analyses were conducted to assess the degree of convergence between social appetitive and consummatory behaviours., Results: Biological sex, housing conditions, the interaction between sex and housing, and stimulus partner sex potently influenced social motivation, whereas time-of-day did not. Behavioural economics demonstrated that sex, housing, and their interaction influence both the hedonic set-point and elasticity of social demand. Video analysis of social interaction during social operant sessions revealed that social appetitive and consummatory behaviours are not necessarily convergent, and indicate potential social satiety. Lastly, oestrus phase of female experimental and stimulus rats did not impact social motivation within the model., Conclusions: Social isolation-dependent sex differences exist in social motivation for rats, as assessed by social operant conditioning. The social operant model represents an optimal preclinical assay that comprehensively evaluates social motivation and offers a platform for future investigations of neurobiological mechanisms underlying sex differences in social motivation. These findings highlight the importance of continued consideration and inclusion of sex as a biological variable in future social operant conditioning studies. Humans are social creatures-our everyday interactions with others and the support this provides play a key role in our wellbeing. For those experiencing mental health conditions, people's motivation to engage with others can wane, which can lead them to withdraw from those who support them. Therefore, to develop better treatment strategies for these conditions, we need to gain a deeper understanding of social motivation. Studying social behaviour in animals can facilitate this investigation of social motivation as it allows for a causal understanding of underlying neurobiology that is not possible in human experiments. An optimal way to study social motivation in animals is using the social operant conditioning model, where rats learn to press a lever that opens a door and allows them to interact with another rat for a short time. This study characterised the social operant model by testing whether sex, housing conditions, time-of-day, and the sex of the stimulus partner influence rats' motivation to seek interaction with another rat. We found that female rats were more socially motivated than males, and that rats living alone were more motivated than those living with another rat; interestingly, this effect of housing affected females more than males. Regardless of sex, rats were more motivated to interact with a rat of the opposite sex. These findings provide insights into sex differences in social motivation in rats and new insights into the social operant model which will help guide future research into social motivation and other mental health conditions., (© 2024. The Author(s).)

Purpose of Review: The 'PrEP cliff' phenomenon poses a critical challenge in global HIV PrEP implementation, marked by significant dropouts across the entire PrEP care continuum. This article reviews new strategies to address 'PrEP cliff'., Recent Findings: Canadian clinicians have developed a service delivery model that offers presumptive PEP to patients in need and transits eligible PEP users to PrEP. Early findings are promising. This service model not only establishes a safety net for those who were not protected by PrEP, but it also leverages the immediate salience and perceived benefits of PEP as a natural nudge towards PrEP use. Aligning with Behavioral Economics, specifically the Salience Theory, this strategy holds potential in tackling PrEP implementation challenges., Summary: A natural pathway between PEP and PrEP has been widely observed. The Canadian service model exemplifies an innovative strategy that leverages this organic pathway and enhances the utility of both PEP and PrEP services. We offer theoretical insights into the reasons behind these PEP-PrEP transitions and evolve the Canadian model into a cohesive framework for implementation., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Background: This study tests behavioral economics incentives to improve adherence to antiretroviral treatment (ART), with 1 approach being low cost., Setting: Three hundred twenty-nine adults at Mildmay Hospital in Kampala, Uganda, on ART for at least 2 years and showing adherence problems received the intervention for about 15 months until the study was interrupted by a nation-wide COVID-19 lockdown., Methods: We randomized participants into 1 of 3 (1:1:1) groups: usual care ("control" group; n = 109) or 1 of 2 intervention groups where eligibility for nonmonetary prizes was based on showing at least 90% electronically measured ART adherence ("adherence-linked" group, n = 111) or keeping clinic appointments as scheduled ("clinic-linked"; n = 109). After 12 months, participants could win a larger prize for consistently high adherence or viral suppression. Primary outcomes were mean adherence and viral suppression. Analysis was by intention-to-treat using linear regression. This trial is registered with ClinicalTrials.gov, NCT03494777 ., Results: Neither incentive arm increased adherence compared with the control; we estimate a 3.9 percentage point increase in "adherence-linked" arm [95% confidence interval (CI): -0.70 to 8.60 ( P = 0.10)] and 0.024 in the "clinic-linked" arm [95% CI: -0.02 to 0.07 ( P = 0.28)]. For the prespecified subgroup of those with initial low adherence, incentives increased adherence by 7.60 percentage points (95% CI: 0.01, 0.15; P = 0.04, "adherence-linked") and 5.60 percentage points (95% CI: -0.01, 0.12; P = 0.10, "clinic-linked"). We find no effects on clinic attendance or viral suppression., Conclusions: Incentives did not improve viral suppression or ART adherence overall but worked for the prespecified subgroup of those with initial low adherence. More effectively identifying those in need of adherence support will allow better targeting of this and other incentive interventions., Competing Interests: The authors have no funding or conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Hypertensive patients often do not make the most favorable choices and behaviors for managing disease. Behavioral economics strategies offer new ideas for guiding patients toward health behavior. The scoping review aimed to summarize behavioral economics strategies designed to improve hypertension self-management behaviors. A literature search was conducted in September 2022 using the following electronic databases: Embase, Medline, CINAHL, PsycINFO, Web of Science, Cochrane Library, CNKI, Wan Fang Database for Chinese Periodicals, and CBM-SinoMed. We screened the literature for experimental studies written in Chinese or English reporting on BE strategies designed to improve self-management behavior in hypertension. We searched 17 820 records and included 18 articles in the final scoping review. We performed qualitative synthesis by the categories of choice architecture. The most common BE strategies were those targeting decision information and decision assistance, such as changing the presentation of information, making information visible, and providing reminders for actions. Most strategies targeted BP, diet, medication adherence, and physical activity behavior. Ten out of 18 studies reported statistically significant improvement in self-management behavior. Further research on BE strategies should focus on addressing the challenges, including changing the decision structure, encompassing a more comprehensive range of target behaviors, and examining the long-term effects of BE strategies., (© Society of Behavioral Medicine 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Gambling disorder (GD) is a pressing public health concern with significant societal costs. The recently developed nudge theory, which is rooted in behavioral economics, aims to influence the decision-making behaviors of individuals by implementing changes in the environment., Aim: This scoping review aims to synthesize the literature on nudge theory as it relates to gambling., Methods: This scoping review accords with the Arksey and O'Malley framework, as refined by Levac et al. It includes only articles from peer-reviewed journals that focus, as main themes, on both nudge theory and gambling. The final study selection includes six articles., Results: The scoping review process led to studies explaining how (1) nudges aim to prod people toward healthier gambling choices, fostering the adoption of more responsible gambling practices, and (2) some gambling features, called dark nudges (or sludges), exploit and harm the decision-making processes of people who gamble., Conclusion: This scoping review highlights the fact that many stakeholders are involved in the field of gambling, and that better cooperation between them would promote safer and more responsible gambling practices. Future research is also needed to empirically test nudges to develop a better understanding of their impact on those who gamble., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Fortier, Audette-Chapdelaine, Auger and Brodeur.)

Objective: Behavioral economic theory suggests that alcohol risk is related to elevated alcohol reinforcing efficacy (demand) combined with diminished availability of reinforcing substance-free activities, but little research has examined these reward-related processes at the daily level in association with comorbid conditions that might influence behavioral patterns and reward. Young people with attention-deficit/hyperactivity disorder (ADHD) report high levels of risky drinking, and this risk may be due in part to elevated demand for alcohol and diminished engagement in enjoyable and valued substance-free activities., Method: College student drinkers ( N = 101; 48.5% female; 68.3% White; 18-22 years old) with ( n = 51) and without ( n = 50) ADHD completed 14 consecutive daily diaries (diary entry n = 1,414). We conducted a series of multilevel path models to examine (a) the associations among ADHD and average daily alcohol demand, substance-free enjoyment, and response contingent positive reinforcement (RCPR) for goal-directed behaviors; (b) the associations among concurrent daily alcohol demand, substance-free reinforcement, and RCPR for goal-directed behaviors and daily alcohol use and alcohol-related negative consequences; and (c) the moderating effect of ADHD on these within-day associations., Results: ADHD was significantly associated with more daily alcohol-related negative consequences and less daily substance-free enjoyment and RCPR. Regardless of ADHD status, there were significant associations among behavioral economic risk factors and alcohol use and negative consequences, though effects differed within and between persons. There were no moderating effects of ADHD on within-person associations., Conclusions: Results expose areas of impairment specific to drinkers with ADHD and advance theory on ADHD and hazardous drinking. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background and Aims: Behavioral economic theory predicts that high alcohol demand and high proportionate alcohol-related reinforcement are important determinants of risky alcohol use in emerging adults, but the majority of research to date has been cross-sectional in nature. The present study investigated prospective and dynamic relationships between alcohol demand and proportionate alcohol-related reinforcement in relation to heavy drinking days and alcohol problems., Design: Longitudinal cohort with assessments every 4 months for 20 months., Setting: Ontario, Canada., Participants: Emerging adults reporting regular heavy episodic drinking (n = 636, M age  = 21.44; 55.8% female)., Measurements: Heavy drinking days (HDD; Daily Drinking Questionnaire), alcohol problems (Brief Young Adult Alcohol Consequences Questionnaire), alcohol demand (Alcohol Purchase Task) and proportionate alcohol-related reinforcement (Activity Level Questionnaire)., Findings: Linear mixed effects models revealed that behavioral economic indicators and alcohol-related outcomes significantly decreased over the study, consistent with 'aging out' of risky alcohol use. Random intercept cross-lagged panel models revealed significant between-person relationships, such that higher alcohol demand and alcohol-related reinforcement were positively associated with HDD and alcohol problems (random intercepts = 0.187-0.534, Ps < 0.01). Moreover, alcohol demand indicators (particularly the rate of change in elasticity of the demand curve, as measured by α, and the maximum expenditure, O max ) and proportionate alcohol-related reinforcement significantly forecasted changes in HDD at all time points (|βs| = 0.063-0.103, Ps < 0.05) in cross-lagged relationships, with bidirectional associations noted for the rate of change in elasticity (βs = -0.085 to -0.104, Ps < 0.01). Proportionate alcohol-related reinforcement also significantly forecasted changes in alcohol problems at all time points (βs = 0.072-0.112, Ps < 0.01)., Conclusions: Multiple behavioral economic indicators (demand elasticity, maximum expenditure and reinforcement ratio) forecast changes in heavy episodic drinking and alcohol problems over the course of emerging adulthood. These results further implicate alcohol demand and proportionate alcohol-related reinforcement as etiologically and developmentally important mechanisms in alcohol use trajectories., (© 2024 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Objective: It is hypothesized that alcohol use is reinforcing when used as a strategy to cope with negative affect. Although the evidence for this hypothesis in observational data is weak, some experimental evidence suggests that the behavioral economic demand for alcohol increases immediately following a negative emotional event. We hypothesized that people show a higher demand for alcohol following negative (vs. neutral) mood inductions and that this effect is stronger in people who report heavier drinking compared to people who report lighter drinking as well as stronger on days characterized by higher coping motives and negative urgency., Method: 309 college students who reported recent alcohol consumption ( M AUDIT = 6.86) completed the alcohol purchase task after being subjected to 12 mood inductions (six negative, six neutral, order randomized) on 12 separate days., Results: In our preregistered analyses, we found no evidence that the behavioral economic demand for alcohol was elevated following negative mood inductions. The mood inductions in our study were not as strong as has been reported in previous research, weakening the preregistered inferences. In exploratory analyses performed on a subset of the data in which the mood inductions worked as intended, demand was higher following negative mood inductions., Conclusions: The results of this study are not conclusive. In light of previous research, we consider these data to slightly increase our confidence that demand for alcohol is increased immediately following a negative emotional event. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Behavioral economic demand for cannabis is robustly associated with cannabis consumption and cannabis use disorder (CUD). However, few studies have examined the processes underlying individual differences in the relative valuation of cannabis (i.e., demand). This study examined associations between executive functions and cannabis demand among young adults who use cannabis. We also examined indirect associations of executive functions with cannabis consumption and CUD symptoms through cannabis demand. Young adults ( N = 113; 58.4% female; mean age 22 years) completed a Marijuana Purchase Task. Participants also completed cognitive tasks assessing executive functions (set shifting, inhibitory control, working memory) and semistructured interviews assessing past 90-day cannabis consumption (number of grams used) and number of CUD symptoms. Poorer inhibitory control was significantly associated with greater O max (peak expenditure on cannabis) and greater intensity (cannabis consumption at zero cost). Poorer working memory was significantly associated with lower elasticity (sensitivity of consumption to escalating cost). Lower inhibitory control was indirectly associated with greater cannabis consumption and CUD symptoms through greater O max and intensity, and poorer working memory was indirectly associated with greater cannabis consumption and CUD symptoms through reduced elasticity. This study provides novel evidence that executive functions are associated with individual differences in cannabis demand. Moreover, these results suggest that cannabis demand could be a mechanism linking poorer executive functioning with heavier cannabis use and CUD, which should be confirmed in future longitudinal studies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Population drinking trends show clear developmental periodicity, with steep increases in harmful alcohol use from ages 18 to 22 followed by a gradual decline across the 20s, albeit with persistent problematic use in a subgroup of individuals. Cross-sectional studies implicate behavioral economic indicators of alcohol overvaluation (high alcohol demand) and lack of alternative substance-free reinforcers (high proportionate alcohol-related reinforcement) as potential predictors of change during this developmental window, but longitudinal evidence is sparse., Method: Using a sample of emerging adults ( N = 497, M age = 22.61 years, 62% female, 48.69% White, 40.44% Black), this study examined prospective, bidirectional relations between both past-week heavy drinking days (HDD) and alcohol problems and proportionate alcohol-related reinforcement (reinforcement ratio), alcohol demand intensity (consumption at zero price), alcohol demand O max (maximum expenditure), and change in demand elasticity (rate of change in consumption across escalating price) over five assessments (every 4 months) using random intercept cross-lagged panel models., Results: Alcohol problems and HDD decreased across assessments. Significant between-person effects indicated that each behavioral economic variable was associated with increased drinking risk. Change in reinforcement ratio was positively associated with decreases in alcohol problems. Multigroup invariance modeling revealed distinct risk pathways in that change in demand intensity and O max predicted change in alcohol problems for male participants and change in intensity predicted change in alcohol problems for non-White participants., Conclusion: The study provides consistent support for proportionate alcohol-related reinforcement and mixed support for demand as within-person predictors of reductions in drinking. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objectives　The study aim was to explore effective measures to promote job seekers' participation in the Care Worker Initial Training course provided by Hello Work.Methods　In this study, we adopted the nudge approach as a method to promote behavioral changes based on a knowledge of behavioral economics. Additionally, we tested the effectiveness of nudge-based measures compared to that of conventional measures. The survey was conducted through two rounds of Web distribution. In the first Web distribution, we consistently implemented the following, in order: 1) recruited individuals who agreed to participate in the study, 2) distributed the first Web questionnaire regarding basic attributes and eligibility criteria in terms of the target individuals, and 3) distributed course guidance. Individuals who responded to the first Web questionnaire (n=50,000) were randomly assigned to eight groups. The intervention groups were presented with course guidance based on loss-aversion nudge, empathy nudge, long-term gain nudge, and their combinations. The control group was presented with traditional course guidance used by the Ministry of Health, Labour and Welfare over the Web. Two weeks after the intervention, we identified 2,404 individuals who met the eligibility criteria and assessed their behavioral changes (pre-contemplation, contemplation/preparation, information-gathering, action); we received responses from 1,995 individuals. Binomial logistic regression analyses were performed using nudge-based interventions and behavioral change stages as dependent and independent variables, respectively. Sex, age, education level, marital status, interest in caregiving before the intervention, and behavioral change stages before the intervention were included as moderator variables.Results　A total of 1,995 individuals were included in the analysis. Among the 1,756 participants in the intervention groups, 321 (18.3%) took on contemplation/preparation behavior, 102 (5.8%) took on information-gathering behavior, and 50 (2.8%) took action by participating in the course. Among the 239 individuals in the control group, 38 (15.9%) took on contemplation/preparation behavior, 31 (13.0%) took on information-gathering behavior, and 2 (0.8%) took action by participating in the course. Binomial logistic regression analyses showed that while traditional measures were effective in promoting information-gathering behavior toward participation, nudge-based measures combining loss-aversion nudge, long-term gain nudge, and empathy nudge were effective in motivating individuals to participate in the course (odds ratio: 5.39, 95%CI: 1.18-24.74, P=0.03).Conclusion　The introduction of measures combining multiple types of nudges is necessary to promote participation in the Care Worker Initial Training course, rather than traditional measures or a nudge in isolation.

Changes in risk preference have been reported when making a series of independent risky choices or non-foraging economic decisions. Behavioral economics has put forward various explanations for specific changes in risk preference in non-foraging tasks, but a consensus regarding the general principle underlying these effects has not been reached. In contrast, recent studies have investigated human economic risky choices using tasks adapted from foraging theory, which require consideration of past choices and future opportunities to make optimal decisions. In these foraging tasks, human economic risky choices are explained by the ethological principle of fitness maximization, which naturally leads to dynamic risk preference. Here, we conducted two online experiments to investigate whether the principle of fitness maximization can explain risk preference dynamics in a non-foraging task. Participants were asked to make a series of independent risky economic decisions while the environmental richness changed. We found that participants' risk preferences were influenced by the current and past environments, making them more risk-averse during and after the rich environment compared to the poor environment. These changes in risk preference align with fitness maximization. Our findings suggest that the ethological principle of fitness maximization might serve as a generalizable principle for explaining dynamic preferences, including risk preference, in human economic decision-making., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Mochizuki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The adulteration of illicit fentanyl with the alpha-2 agonist xylazine has been designated an emerging public health threat. The clinical rationale for combining fentanyl with xylazine is currently unclear, and the inability to study fentanyl/xylazine interactions in humans warrants the need for preclinical research. We studied fentanyl and xylazine pharmacodynamic and pharmacokinetic interactions in male and female rats using drug self-administration behavioral economic methods. Fentanyl, but not xylazine, functioned as a reinforcer under both fixed-ratio and progressive-ratio drug self-administration procedures. Xylazine combined with fentanyl at three fixed dose-proportion mixtures did not significantly alter fentanyl reinforcement as measured using behavioral economic analyses. Xylazine produced a proportion-dependent decrease in the behavioral economic Q 0 endpoint compared to fentanyl alone. However, xylazine did not significantly alter fentanyl self-administration at FR1. Fentanyl and xylazine co-administration did not result in changes to pharmacokinetic endpoints. The present results demonstrate that xylazine does not enhance the addictive effects of fentanyl or alter fentanyl plasma concentrations. The premise for why illicitly manufacture fentanyl has been adulterated with xylazine remains to be determined., Competing Interests: Declaration of Competing Interest The author has no conflicts of interest to declare., (Copyright © 2024. Published by Elsevier B.V.)

Consumer-directed Care (CDC) empowers older people to flexibly arrange services and enhances their well-being. Prior studies have suggested that limited attention and hassle costs are major demand-side barriers to using CDC. However, many other psychosocial factors were unexplored. In this study, we explore associations between CDC utilization and a wider range of psychosocial factors based on behavioral economics theories. A cross-sectional telephone survey of older persons (or family members that represent them) was conducted in Guangzhou, China in 2021. We adopted a two-stage sampling method based on administrative records and analyzed the data using multivariate logistic models. Procedural literacy, hassle costs, and social norms regarding CDC were associated with using CDC. The findings reveal nuances in the decision-making process, and people are not unboundedly rational in making care-related decisions. Policymakers could employ cost-effective tools to facilitate CDC utilization and optimize resources to address the most crucial service barriers., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The long-term economic viability of modern health care systems is uncertain, in part due to costs of health care at the end of life and increasing health care utilization associated with an increasing population prevalence of multiple chronic diseases. Control of health care spending and sustaining delivery of health care services will require strategic investments in prevention to reduce the risk of disease and its complications over an individual's life course. Behavior change interventions aimed at reducing a range of harmful and risky health-related behaviors including smoking, physical inactivity, excess alcohol consumption, and excess weight, are one approach that has proven effective at reducing risk and preventing chronic disease. However, large-scale efforts to reduce population-level chronic diseases are challenging and have not been very successful at reducing the burden of chronic diseases. A new approach is required to identify when, where, and how to intervene to disrupt patterns of behavior associated with high-risk factors using context-specific interventions that can be scaled. This paper introduces the need to integrate theoretical and methodological principles of health geography and behavioral economics as opportunities to strengthen behavior change interventions for the prevention of chronic diseases. We discuss how health geography and behavioral economics can be applied to expand existing behavior change frameworks and how behavior change interventions can be strengthened by characterizing contexts of time and activity space., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.)

Background: Implementation science in health is an interdisciplinary field with an emphasis on supporting behavior change required when clinicians and other actors implement evidence-based practices within organizational constraints. Behavioral economics has emerged in parallel and works towards developing realistic models of how humans behave and categorizes a wide range of features of choices that can influence behavior. We argue that implementation science can be enhanced by the incorporation of approaches from behavioral economics. Main body First, we provide a general overview of implementation science and ways in which implementation science has been limited to date. Second, we review principles of behavioral economics and describe how concepts from BE have been successfully applied to healthcare including nudges deployed in the electronic health record. For example, de-implementation of low-value prescribing has been supported by changing the default in the electronic health record. We then describe what a behavioral economics lens offers to existing implementation science theories, models and frameworks, including rich and realistic models of human behavior, additional research methods such as pre-mortems and behavioral design, and low-cost and scalable implementation strategies. We argue that insights from behavioral economics can guide the design of implementation strategies and the interpretation of implementation studies. Key objections to incorporating behavioral economics are addressed, including concerns about sustainment and at what level the strategies work., Conclusion: Scholars should consider augmenting implementation science theories, models, and frameworks with relevant insights from behavioral economics. By drawing on these additional insights, implementation scientists have the potential to boost efforts to expand the provision and availability of high quality care., (© 2024. The Author(s).)

Communities may often lack the resources to deliver intensive programs to assist teen mothers, and many eligible adolescents may decline participation in lengthy interventions. Therefore, alternative approaches involving less resource and time may be needed. Behavioral economics (BE) can inform the development of such novel interventions. BE often feature low-intensity approaches designed to "nudge" people to help them reach their long-term goals. Nudges can include giving reminders, making the desired behavior more convenient, and optimizing the verbal presentation of recommended options. Three hundred thirty-one American adolescents (ages 14 to 19) who were 22 to 35 weeks pregnant were enrolled in the present trial. One hundred sixty-six participants were randomly assigned to the intervention condition featuring a three-month BE intervention delivered by a registered nurse and social worker. The remaining 165 youths were assigned usual care. Surveys were completed at baseline, 3 months, 12 months, and 18 months. Data collection occurred from 2017 to 2021. Qualitative feedback indicated that the BE intervention was well-received by adolescents. However, there were no significant differences between the intervention and control groups at any time point regarding repeat pregnancy, contraceptive usage, financial literacy, school completion, job attainment, HPV vaccinations, nicotine usage, perception of having a medical home, urgent care/ED usage, and nutritional intake (all p > .05). Our findings suggest that a BE-based intervention may not be sufficient to facilitate change for teen mothers. Future programs should consider lasting longer, featuring a higher dose, and/or incorporating systems-level changes. This trial was prospectively registered (NCT03194672 clinicaltrials.gov)., (© 2024. The Author(s).)

Pre-exposure prophylaxis (PrEP) use may be associated with condom use decisions. The current investigation examined sexual decision-making in the context of PrEP among young adult men who have sex with men (MSM) between 18 and 30 years old, using an explanatory sequential mixed methods design. For the quantitative aim, 99 MSM currently taking PrEP (i.e., PrEP-experienced) and 140 MSM not currently taking PrEP (i.e., PrEP-naive) completed an online survey, including the Sexual Delay Discounting Task (SDDT), which captures likelihood of condom use. For the qualitative aim, 15 people from each group were interviewed about their (1) conceptualizations of risky sex and (2) ways they manage their sexual risk. Participants were, on average, 25.69 years old (SD = 3.07) and 64% White. Results from the quantitative aim revealed, controlling for covariates, PrEP-experienced participants exhibited significantly lower likelihood of (1) using an immediately available condom and (2) waiting for a delayed condom (i.e., sexual delay discounting) compared to PrEP-naive participants. Qualitative themes explaining what young adult MSM consider to be risky sex included: (1) any sex as risky sex, (2) risky sex as "sex without a conversation," and (3) risky sex as sex with risk for physical harm. Themes on ways young adult MSM manage sexual risk were classified as proactive, reactive, and passive. Results suggest that PrEP use is related to condom use decisions. Taken together, quantitative differences in sexual delay discounting, but qualitatively similar conceptualizations and management of risky sex, suggest that the SDDT may be a useful tool in sex research to capture processes (i.e., delay discounting) underlying sexual decision-making that may be missed by traditional self-reports. Implications of results, including potentially providing (good quality) condoms with every PrEP prescription, and future research topics are discussed., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Emerging adults (EAs) who are not 4-year college students nor graduates are at elevated risk for lifetime alcohol use disorder, comorbid drug use, and mental health symptoms, compared to college graduates. There is a need for tailored brief alcohol intervention (BAI) approaches to reduce alcohol risk and to facilitate healthy development in this high-risk population. Most BAIs include a single session focused on discussing risks associated with drinking and correcting normative beliefs about drinking rates. EAs may benefit from additional elements that enhance general wellness. The substance-free activity session (SFAS) aims to clarify life goals and values and increase goal-directed activities that provide alternatives to alcohol use, and the relaxation training (RT) session teaches relaxation and stress reduction skills., Methods: The present study is a randomized 3-group (BAI + SFAS vs. RT + SFAS vs. education control) trial with 525 EAs (175 per group; estimated 50% women and 50% African American) who report recent risky drinking and who are not students or graduates of 4-year colleges. Participants will have the option of completing the intervention sessions in person or via a secure video teleconference. Levels of drinking and alcohol-related problems will be evaluated at baseline and 1, 3, 6, and 12 months post-intervention. The primary hypothesis is that both BAI + SFAS and RT + SFAS participants will report significantly greater reductions in alcohol use and problems relative to education control participants, with no differences in outcomes between the two active treatment conditions., Discussion: The results of this study will inform alcohol prevention efforts for high-risk community dwelling emerging adults., Trial Registration: ClinicalTrials.gov Identifier: NCT04776278., (© 2024. The Author(s).)

Some scholars find that behavioral variation in the public goods game is explained by variations in participants' understanding of how to maximize payoff and that confusion leads to cooperation. Their findings lead them to question the common assumption in behavioral economics experiments that choices reflect motivations. We conduct two experiments, in which we minimize confusion by providing participants with increased training. We also introduce a question that specifically assesses participants' understanding of payoff maximization choices. Our experimental results show that the distribution of behavior types is significantly different when participants play with computers versus humans. A significant increase in contributions is also observed when participants play with humans compared to when they play with computers. Moreover, social norms may be the main motive for contributions when playing with computers. Our findings suggest that social preferences, rather than confusion, play a crucial role in determining contributions in public goods games when playing with humans. We therefore argue that the assumption in behavioral economics experiments that choices reveal motivations is indeed valid., Competing Interests: Competing interests statement:The authors declare no competing interest.

Importance: Use of low-value care is common among older adults. It is unclear how to best engage clinicians and older patients to decrease use of low-value services., Objective: To test whether the Committing to Choose Wisely behavioral economic intervention could engage primary care clinicians and older patients to reduce low-value care., Design, Setting, and Participants: Stepped-wedge cluster randomized clinical trial conducted at 8 primary care clinics of an academic health system and a private group practice between December 12, 2017, and September 4, 2019. Participants were primary care clinicians and older adult patients who had diabetes, insomnia, or anxiety or were eligible for prostate cancer screening. Data analysis was performed from October 2019 to November 2023., Intervention: Clinicians were invited to commit in writing to Choosing Wisely recommendations for older patients to avoid use of hypoglycemic medications to achieve tight glycemic control, sedative-hypnotic medications for insomnia or anxiety, and prostate-specific antigen tests to screen for prostate cancer. Committed clinicians had their photographs displayed on clinic posters and received weekly emails with alternatives to these low-value services. Educational handouts were mailed to applicable patients before scheduled visits and available at the point of care., Main Outcomes and Measures: Patient-months with a low-value service across conditions (primary outcome) and separately for each condition (secondary outcomes). For patients with diabetes, or insomnia or anxiety, secondary outcomes were patient-months in which targeted medications were decreased or stopped (ie, deintensified)., Results: The study included 81 primary care clinicians and 8030 older adult patients (mean [SD] age, 75.1 [7.2] years; 4076 men [50.8%] and 3954 women [49.2%]). Across conditions, a low-value service was used in 7627 of the 37 116 control patient-months (20.5%) and 7416 of the 46 381 intervention patient-months (16.0%) (adjusted odds ratio, 0.79; 95% CI, 0.65-0.97). For each individual condition, there were no significant differences between the control and intervention periods in the odds of patient-months with a low-value service. The intervention increased the odds of deintensification of hypoglycemic medications for diabetes (adjusted odds ratio, 1.85; 95% CI, 1.06-3.24) but not sedative-hypnotic medications for insomnia or anxiety., Conclusions and Relevance: In this stepped-wedge cluster randomized clinical trial, the Committing to Choose Wisely behavioral economic intervention reduced low-value care across 3 common clinical situations and increased deintensification of hypoglycemic medications for diabetes. Use of scalable interventions that nudge patients and clinicians to achieve greater value while preserving autonomy in decision-making should be explored more broadly., Trial Registration: ClinicalTrials.gov Identifier: NCT03411525.