Factors associated with the COVID-19 booster vaccine intentions of young adults in the United States

Young adults experience high coronavirus disease 2019 (COVID-19) incidence yet have the lowest vaccination and booster rates among adults. Understanding the factors influencing their intentions regarding boosters is essential for crafting effective public health strategies. We examined the psychosocial factors (attitudes, norms, perceived behavioral control) associated with their intentions to receive a COVID-19 booster. This cross-sectional study included 292 young adults aged 18-25 residing in Philadelphia who completed an online survey from September 2021 and February 2022 (mean age 21.98, standard deviation 2.25; 51% racial/ethnic minorities). The survey included measures of attitudes, norms, and perceived behavioral control related to COVID-19 vaccination. We employed structural equation modeling analysis to examine the intention of young adults to receive the COVID-19 booster and their vaccine-related attitudes, norms, and perceived behavioral control. Covariates included race/ethnicity and gender. Subjective norms were significantly associated with the intention to receive a COVID-19 booster (standardized β̂ = 0.685, p = .018). Attitudes and perceived behavioral control showed no significant association with intention. Subgroup analyses based on race/ethnicity revealed that attitudes (standardized β̂ = 0.488, p = .004) and subjective norms (standardized β̂ = 0.451, p = .050) were predictors among young adults from racial and ethnic minority backgrounds, while only subjective norms (standardized β̂ = 1.104, p = .002) were significant for non-Hispanic White young adults. Public health efforts should prioritize engaging healthcare providers and peer groups in order to influence subjective norms and promote collective responsibility and acceptance for vaccination. Tailored interventions and diverse communication strategies targeting specific subgroups of young adults may be useful to ensure comprehensive and effective vaccination initiatives.

Short-time mentoring - enhancing female medical students' intentions toward surgical careers

BACKGROUND

Women pursuing a career in surgery or related disciplines are still in the minority, despite the fact that women compose at least half of the medical student population in most Western countries. Thus, recruiting and retaining female surgeons remains an important challenge to meet the need for surgeons and increase the quality of care. The participations were female medical students between their third and fifth academic year. In this study, we applied the well-established psychological theory of planned behavior (TPB) which suggests that the intention to perform a behavior (e.g. pursuing a career in surgery) is the most critical and immediate predictor of performing the behavior. We investigated whether a two-part short-mentoring seminar significantly increases students' intention to pursue a career in a surgical or related specialty after graduation.

METHOD

The mentoring and role-model seminar was conducted at 2 days for 90 minutes by six inspiring female role models with a remarkable career in surgical or related disciplines. Participants (N = 57) filled in an online survey before (T0) and after the seminar (T1). A pre-post comparison of central TPB concept attitude towards the behavior, 2) occupational self-efficacy and 3) social norm) was conducted using a paired sampled t-test. A follow-up survey was administered 12 months later (T2).

RESULTS

The mentoring seminar positively impacted female students' attitude towards a career in a surgical specialty. Female students reported a significantly increased positive attitude (p < .001) and significantly higher self-efficacy expectations (p < .001) towards a surgical career after participating in the mentoring seminar. Regarding their career intention after the seminar, female students declared a significantly higher intention to pursue a career in a surgical specialty after graduating (p < .001) and this effect seems to be sustainable after 1 year.

CONCLUSION

For the first time we could show that short-mentoring and demonstrating role models in a seminar surrounding has a significant impact on female medical student decision´s to pursue a career in a surgery speciality. This concept may be a practical and efficient concept to refine the gender disparity in surgery and related disciplines.

The perception of air pollution and its health risk: a scoping review of measures and methods

BACKGROUND

Although there is increasing awareness of the health risks of air pollution as a global issue, few studies have focused on the methods for assessing individuals' perceptions of these risks. This scoping review aimed to identify previous research evaluating individuals' perceptions of air pollution and its health effects, and to explore the measurement of perceptions, as a key resource for health behaviour.

METHODS

The review followed the methodological framework proposed by Arksey and O'Malley. PubMed and Web of Science were searched. After initial and full-text screening, we further selected studies with standardised scales that had previously been tested for reliability and validity in assessing awareness and perceptions.

RESULTS

After full-text screening, 95 studies were identified. 'Perception/awareness of air quality' was often measured, as well as 'Perception of health risk.' Only nine studies (9.5%) used validated scaled questionnaires. There was considerable variation in the scales used to measure the multiple dimensions of risk perception for air pollution.

CONCLUSION

Few studies used structured scales to quantify individuals' perceptions, limiting comparisons among studies. Standardised methods for measuring health risk perception are needed.

Impact, feasibility, and acceptability of CREATORS: An arts-based pilot intervention to reduce mental-health-related stigma among youth in Hyderabad, India

Background

Mental-health-related stigma prevents youth from seeking help for mental health problems. Limited studies in low- and middle-income countries assess the effect of arts-based education in reducing such stigma among youth, thereby leaving a gap in evidence-based, age- and culturally-appropriate interventions.

Objective

To evaluate the impact, feasibility, and acceptability of CREATORS, an arts-based educational program on reducing mental-health-related stigma among youth in India.

Methods

We conducted a mixed-methods, pre-post control group study among college-going adolescents in Hyderabad, India. At baseline and post-intervention (after six weeks), we examined differences in intended behavior towards people with mental health problems.

Results

Our study involved 432 participants across three study groups: participants creating art on the theme of mental-health-related stigma over six weeks (n = 123), a student audience viewing 2-h arts show by participants (n = 244), and a control group (n = 65). Between baseline and post-test, participants creating art showed significantly lower stigma towards people with mental health problems compared to members of the control group (coefficient = 1.55, 95%CI 0.06-3.04, p = 0.041). Participants found the intervention useful and enjoyable (>95%; n = 773 across six weeks). Participants identified that collaborative creation of art made the subject of mental health interesting and relatable.

Conclusions

Participating in an arts-based educational program was associated with significantly lower mental-health-related stigma among youth compared to a control group in the short term. High acceptability of the program demonstrates the utility of arts-based education to address mental-health-related stigma. With community partners and artists as facilitators, our program may support mental health specialists in mental health promotion.

Black Americans' perceptions of Alzheimer's disease, a healthy brain, and strategies for brain health promotion

Objectives

Lack of awareness of Alzheimer's disease (AD) among Black Americans may undermine their ability to identify potential AD risk. We examined Black Americans' perceptions and knowledge of AD, and views of a healthy brain, which may contribute to the development of effective and culturally sensitive strategies to address racial disparities in AD.

Methods

We conducted a mixed-methods study, integrating a cross-sectional survey of 258 older (>55 years) Black participants and qualitative interviews with a sub-sample of N = 29. Both data sets were integrated to inform the results.

Results

Participants endorsed having little knowledge of AD. While most participants reported practicing a healthy lifestyle to promote a healthy brain, the range of activities listed were limited. Participants made several suggestions to increase AD awareness, which includes using AD educational materials containing information that would benefit the whole family, not only older adults. Outreach approaches that address both individual behaviors and structural factors were also encouraged.

Conclusion

Our findings identify ongoing needs to improve AD awareness among traditionally under-represented groups.

Innovation

The study utilized novel approaches to examine participants' perspectives of AD that included a diverse sample of research naïve participants, and integrated exploration of participants' views of AD and brain health.

How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey

To investigate opinions and attitudes of medical professionals towards adopting AI-enabled healthcare technologies in their daily business, we used a mixed-methods approach. Study 1 employed a qualitative computational grounded theory approach analyzing 181 Reddit threads in the several subreddits of r/medicine. By utilizing an unsupervised machine learning clustering method, we identified three key themes: (1) consequences of AI, (2) physician-AI relationship, and (3) a proposed way forward. In particular Reddit posts related to the first two themes indicated that the medical professionals' fear of being replaced by AI and skepticism toward AI played a major role in the argumentations. Moreover, the results suggest that this fear is driven by little or moderate knowledge about AI. Posts related to the third theme focused on factual discussions about how AI and medicine have to be designed to become broadly adopted in health care. Study 2 quantitatively examined the relationship between the fear of AI, knowledge about AI, and medical professionals' intention to use AI-enabled technologies in more detail. Results based on a sample of 223 medical professionals who participated in the online survey revealed that the intention to use AI technologies increases with increasing knowledge about AI and that this effect is moderated by the fear of being replaced by AI.

'Male cystitis does not exist': A qualitative study of general practitioners' experiences and management of male urinary tract infections in France

BACKGROUND

Male urinary tract infections (mUTIs) are rare in primary care. The definition of mUTIs varies across countries. The therapeutic management of mUTIs in France is based on a 14-day course of fluoroquinolones despite a high risk of antimicrobial resistance.

OBJECTIVES

The objective of this qualitative study was to explore general practitioners' (GPs) experiences and behaviours regarding the diagnostic and therapeutic management of mUTIs.

METHODS

GPs were recruited by convenience sampling in Haute Normandie (France) and interviewed individually with semi-structured guides. GPs' experiences and behaviours were recorded and analysed using an interpretive phenomenological approach.

RESULTS

From March 2021 to May 2022, 20 GPs were included in the study. Defining a mUTI was perceived as a diagnostic challenge. A diagnosis based on clinical evidence alone was insufficient and complementary tests were required. For GPs: 'male cystitis does not exist'. A mUTI was considered an unusual disease that could reveal an underlying condition. GPs considered fluoroquinolones to be 'potent' antibiotics and treated all patients with the same 14-day course. GPs implemented improvement strategies for antibiotic stewardship and followed the guidelines using a computerised decision support system.

CONCLUSIONS

GPs' experiences of mUTIs are limited due to low exposure and variable clinical presentations in primary care, representing a diagnostic and therapeutic challenge. In order to modify GPs' antibiotic prescribing behaviours, a paradigm shift in the guidelines will need to be proposed.KEY MESSAGESDefining a male urinary tract infection represents a diagnostic challenge for GPs.A diagnosis based on clinical evidence alone is insufficient and complementary tests are required.A male urinary tract infection is an unusual disease in primary care and suggests a more serious underlying condition.

Naturalistic driving analysis of situational, behavioral, and psychosocial determinants of speeding

The present analysis used full-trip naturalistic driving data along with driver behavioral and psychosocial surveys to understand the individual and contextual predictors of speeding. The data were collected over a three-week period from 44 drivers and contain 3,798 full trips, with drivers speeding 7.8 % of the time. Speeding events were identified as periods when participants traveled at a velocity greater than five mph over the speed limit for at least five seconds. Data were analyzed using the Comprehensive Driver Profile (CDP) framework which uses principal component analysis (dimensionality reduction), random forest (predictive modeling), k-means clustering (grouping and profiling), and bootstrapping (profile stability) to decompose the predictive variables and driver characteristics. The final dataset included 188 candidate independent variables from the CDP framework and one dependent variable (speeding). Nine variables emerged as significant predictors of speeding onset with an AUC of 0.88, including the percent of trip time spent idling and speeding, highway driving in low traffic conditions, and positive attitudes toward phone use. Percent of trip speeding was associated with a higher likelihood of speeding by up to 42 percent, and percent trip idling was associated with it by up to 30 percent. Driver profile clusters revealed four types: Traffic & Idling Speeders, Infrequent Speeders, Frequent Speeders, and Situational Speeders. The present analysis demonstrates the importance of situational factors and individual differences in motivating speeding behavior. Countermeasures targeting speeding may be more effective if they address the root causes of the behavior in addition to the behavior itself.

The existence of manual mode increases human blame for AI mistakes

People are offloading many tasks to artificial intelligence (AI)-including driving, investing decisions, and medical choices-but it is human nature to want to maintain ultimate control. So even when using autonomous machines, people want a "manual mode", an option that shifts control back to themselves. Unfortunately, the mere existence of manual mode leads to more human blame when AI makes mistakes. When observers know that a human agent theoretically had the option to take control, the humans are assigned more responsibility, even when agents lack the time or ability to actually exert control, as with self-driving car crashes. Four experiments reveal that though people prefer having a manual mode, even if the AI mode is more efficient and adding the manual mode is more expensive (Study 1), the existence of a manual mode increases human blame (Studies 2a-3c). We examine two mediators for this effect: increased perceptions of causation and counterfactual cognition (Study 4). The results suggest that the human thirst for illusory control comes with real costs. Implications of AI decision-making are discussed.

Questioning penalties and road safety Policies: Are they enough to deter risky motorcyclist Behavior?

Reducing risky behaviors and traffic violations is crucial for preventing road trauma among private and commercial motorcyclists. While legal interventions such as road rules and police enforcement have been somewhat effective, there is a gap in understanding how motorcyclists perceive these deterrents and the psycho-social factors influencing their effectiveness. This research aims to explore the interplay between motorcyclists' psycho-social predispositions and their responses to legal interventions. It also compares two distinct groups of riders - private and commercial motorcyclists - within the urban environment of Da Nang, Vietnam, providing a nuanced consideration of the influence of work-related impacts on risky behavior, which can enable targeted interventions. We propose a theoretical model integrating the Theory of Planned Behavior and Deterrence Theory to analyze how psycho-social and punitive factors influence riders' traffic violations. A total of 423 delivery riders and 411 private riders in Da Nang participated in the study. The results show that attitude, perceived behavioral control, and perceptions of deterrence significantly impact riders' intentions to engage in risky behaviors, with delivery riders being particularly responsive to law enforcement and penalties. To enhance policy effectiveness, interventions should employ tailored enforcement strategies that account for the unique motivations and perceptions of each rider group. For example, increasing the visibility and consistency of law enforcement could be particularly impactful for delivery riders, who are more sensitive to immediate deterrents. Policy adjustments should also focus on reshaping riders' attitudes toward safety and adjusting their perceived control over riding situations. By tailoring interventions to effectively influence each group's behavior, we can ultimately reduce traffic incidents.

Perceiving less but wasting more: The relationship between perceived resource scarcity and consumer food waste

Consumers' food-related behaviors often culminate in significant food waste. Surprisingly however, limited attention has been given to psychological reasons why this occurs. Across four studies, this research suggests that, because perceived resource scarcity activates a resource acquisition goal, under conditions where product scarcity is not present it leads consumers to engage in inaccurate over-acquisition of resources (i.e., food), resulting in greater waste. Studies 1a (quasi-experimental field study) and 1b (lab experiment) test the role of perceived resource scarcity in predicting food acquisition and waste. Studies 2a and 2b are correlational and measure household food waste to demonstrate that resource acquisition accuracy mediates the relationship between perceived resource scarcity and food waste.

A closer look at how experience, task domain, and self-confidence influence reliance towards algorithms

Prior research has demonstrated experience with a forecasting algorithm decreases reliance behaviors (i.e., the action of relying on the algorithm). However, the influence of model experience on reliance intentions (i.e., an intention or willingness to rely on the algorithm) has not been explored. Additionally, other factors such as self-confidence and domain knowledge are posited to influence algorithm reliance. The objective of this research was to examine how experience with a statistical model, task domain (used car sales, college grade point average (GPA), GitHub pull requests), and self-confidence influence reliance intentions, reliance behaviors, and perceived accuracy of one's own estimates and the model's estimates. Participants (N = 347) were recruited online and completed a forecasting task. Results indicate that there was a statistically significant effect of self-confidence and task domain on reliance intentions, reliance behaviors, and perceived accuracy. However, unlike previous findings, model experience did not significantly influence reliance behavior, nor did it lead to significant changes in reliance intentions or perceived accuracy of oneself or the model. Our data suggest that factors such as task domain and self-confidence influence algorithm use more so than model experience. Individual differences and situational factors should be considered important aspects that influence forecasters' decisions to rely on predictions from a model or to instead use their own estimates, which can lead to sub-optimal performance.

Do claims about certainty make estimates less certain?

Predictions and estimates are sometimes qualified as certain. This epistemic marker occupies a privileged position at the top of scales of verbal probability expressions, reflecting probabilities close to 1. But such statements have rarely been compared to plain, unqualified statements in which certainty is not mentioned. We examined in nine studies (N = 2784) whether statements explicitly claimed to be certain are perceived as (1) more (or less) credible, (2) more (or less) precise, and (3) more (or less) strongly based upon evidence, compared to plain, unmarked declarative statements. We find, in apparent contrast with assumptions made by the standard scales, that "certain" are often judged to be less trustworthy, less reliable, and held with lower confidence than unmarked statements. Plain, declarative statements are further assumed to be more precise, while certainty implies that more extreme outcomes are possible. When it is certain that Henry made four errors, it is clear he did not commit less than four, but he might have committed five errors or more. Thus certainty can indicate lower bounds of an interval whose upper bounds are not defined, and certainty statements are consequently more ambiguous than estimates that do not mention certainty. At least-interpretations of certainty affect the interpretation of options in risky choice problems, where "200 lives will be saved" was deemed by a majority to mean exactly 200, while "it is certain that 200 will be saved", could mean 200-600 lives. We also find that credibility is affected by type of certainty, with impersonal certainty ("it is certain") perceived to be more accurate and persuasive than personal certainty ("I am certain"), especially in predictions of future events. Moreover, mentions of certainty can reveal that that a speaker's estimate is based on subjective judgments and guesswork rather than upon objective evidence. These findings have implications for communication. Estimates can appear more consensual when claims of certainty are omitted. To convey certainty it may be better not to mention that one is certain.

Subjective Probability Increases Across Communication Chains: Introducing the Probability Escalation Effect

A severity effect has previously been documented, whereby numerical translations of verbal probability expressions are higher for severe outcomes than for non-severe outcomes. Recent work has additionally shown the same effect in the opposite direction (translating numerical probabilities into words). Here, we aimed to test whether these effects lead to an escalation of subjective probabilities across a communication chain. In four 'communication chain' studies, participants at each communication stage either translated a verbal probability expression into a number, or a number into a verbal expression (where the probability to be translated was yoked to a previous participant). Across these four studies, we found a general Probability Escalation Effect, whereby subjective probabilities increased with subsequent communications for severe, non-severe and positive events. Having ruled out some alternative explanations, we propose that the most likely explanation is in terms of communications directing attention towards an event's occurrence. Probability estimates of focal outcomes increase across communication stages.

Moral preference reversals: Violations of procedure invariance in moral judgments of sacrificial dilemmas

In this research, we examine whether moral judgments sometimes violate the normative principle of procedure invariance - that is, whether normatively equivalent elicitation tasks can result in different judgment patterns. Specifically, we show that the relative morality of two actions can reverse across evaluation modes and elicitation tasks, mirroring preference reversals in consumer behavior. Across six studies (five preregistered, total N = 719), we provide evidence of three reversals of moral judgments of sacrificial dilemmas. First, directly killing one person to save many others was rated as morally worse than indirectly killing one person via an intervening mechanism in order to save a few others in separate evaluation, but this difference reversed in joint evaluation, in both between-subjects (Studies 1a and 1b) and within-subjects (Study 2) designs. Next, directly killing one person to save many others was judged as morally better than indirectly killing one person to save a few others more often in matching than in choice (Study 3) and rating (Study 4), between-subjects. Lastly, we replicate the results of Studies 3 and 4 within-subjects and show that susceptibility to these moral preference reversals is correlated with Faith in Intuition (Study 5). The present research introduces a new methodological approach to moral psychology, demonstrates that moral judgments can fully reverse across tasks, and supports an emerging view that moral judgments, like consumer preferences, are at least sometimes constructed in the moment, relative to the context and task at hand.

Interactions between neural representations of the social and spatial environment

Even in our highly interconnected modern world, geographic factors play an important role in human social connections. Similarly, social relationships influence how and where we travel, and how we think about our spatial world. Here, we review the growing body of neuroscience research that is revealing multiple interactions between social and spatial processes in both humans and non-human animals. We review research on the cognitive and neural representation of spatial and social information, and highlight recent findings suggesting that underlying mechanisms might be common to both. We discuss how spatial factors can influence social behaviour, and how social concepts modify representations of space. In so doing, this review elucidates not only how neural representations of social and spatial information interact but also similarities in how the brain represents and operates on analogous information about its social and spatial surroundings.This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.

Different neural correlates of deception: Crafting high and low creative scams

Deception is a complex social behavior that manifests in various forms, including scams. To successfully deceive victims, liars have to continually devise novel scams. This ability to create novel scams represents one kind of malevolent creativity, referred to as lying. This study aimed to explore different neural substrates involved in the generation of high and low creative scams. A total of 40 participants were required to design several creative scams, and their cortical activity was recorded by functional near-infrared spectroscopy. The results revealed that the right frontopolar cortex (FPC) was significantly active in scam generation. This region associated with theory of mind may be a key region for creating novel and complex scams. Moreover, creativity-related regions were positively involved in creative scams, while morality-related areas showed negative involvement. This suggests that individuals might attempt to use malevolent creativity while simultaneously minimizing the influence of moral considerations. The right FPC exhibited increased coupling with the right precentral gyrus during the design of high-harmfulness scams, suggesting a diminished control over immoral thoughts in the generation of harmful scams. Additionally, the perception of the victim's emotions (related to right pre-motor cortex) might diminish the quality of highly original scams. Furthermore, an efficient and cohesive neural coupling state appears to be a key factor in generating high-creativity scams. These findings suggest that the right FPC was crucial in scam creation, highlighting a neural basis for balancing malevolent creativity against moral considerations in high-creativity deception.

Goal inference in moral narratives

We often form beliefs about others based on narratives they tell about their own moral actions. When constructing such moral narratives, narrators balance multiple goals, such as conveying accurate information about what happened ('informational goals') and swaying audiences' impressions about their moral characters ('reputational goals'). Here, we ask to what extent audiences' detection of narrators' reputational goals guide or prevent them from making moral character judgments intended by narrators. Across two pre-registered experiments, audiences read narratives written by real narrators about their own moral actions. Each narrator was incentivized to write about the same action twice while trying to appear like a morally good or bad person (positive and negative reputational goals). Audiences detected narrators' reputational goals with high accuracy and made judgments about moral character that aligned with narrators' goals. However, audiences were more suspicious toward positive than negative reputational goals, requiring more evidence of high informational goals. These results demonstrate how audiences' inferences of reputational goals can both support and hinder narrators: accurate goal recognition increases the chance that audiences will make judgments intended by narrators, but inferred positive reputational goals can lead to doubts about accuracy. More generally, this provides a novel approach to studying how moral information about people is transmitted through naturalistic narratives.

Shyness and risk-taking during peer observation in children and adolescents

Although temperamental shyness is conceptualized as a trait marked by cautiousness, we know relatively little about its relation to risk-taking. We examined how shyness was related to opportunities for risk-taking while considering how social context (i.e., presence of peers) and developmental stage (i.e., children and adolescents) might influence this relation. In the current study, 198 children (Mage = 10.17 years) and 221 adolescents (Mage = 13.46 years) completed the Balloon Analogue Risk Task (BART) alone or during a peer observation manipulation. For children and adolescents, shyness was related to physiological arousal and self-reporting feeling anxious during the peer condition. However, peer observation did not influence the relation between shyness and behavioral responses during the BART. Across both alone and peer conditions, shyness was related to a longer response time for children and adolescents, which may reflect decisional conflict during risk-taking opportunities. Furthermore, shyness in children (but not in adolescents) was related to poorer performance (i.e., fewer points), whereas shyness was unrelated to risk-taking propensity (i.e., number of pumps) for both children and adolescents. Overall, although the presence of peers may induce anxiety during a risk-taking opportunity for children and adolescents higher in shyness, this does not appear to modify their risk-taking behaviors. Instead, shyer children and adolescents in general may take a longer time to decide whether to act in a risky manner, whereas shy children in particular may show poorer performance in obtaining a reward on a risk-taking task.

Use of consumer insights to inform behavior change interventions aimed at illegal pet turtle trade in China

Illegal poaching and overexploitation for the international pet trade are among the greatest threats to freshwater turtles in Southeast Asia. Expanding consumer research in China is crucial to filling knowledge gaps about the scale and structure of illegal trade and developing audience-targeted and relevant interventions that may reduce demand for illegal turtles as pets. We applied mixed methods to provide a detailed understanding of the consumer side of the illegal pet turtle trade in China. We conducted 30 interviews with key stakeholders and online surveys (n = 2456) of turtle keepers via community forums. From these, we identified 3 core consumer groups based on their prior turtle-keeping experience, species exposure, and potential for future purchases. We conducted a thematic qualitative analysis of concepts related to the capability, opportunity, motivation, and behavior (COM-B) model to determine the factors influencing the illegal pet turtle trade and to identify barriers to illegal purchases. Specifically, we identified purchasers' capabilities, opportunities, and motivations in the context of legality, enforcement risk, captive breeding, and impacts on wild population. We developed consumer journey maps (i.e., visual representations of customer's experiences throughout their buying journey) for core consumer groups. These maps illustrate the sequential behaviors and processes that consumers undertake when purchasing turtles, from initial exposure to sourcing, keeping, and providing a new home. Key factors influencing illegal purchases included convenient purchase channels, misguided cognition and motivations for pet keeping, and weak law enforcement. Effective interventions included messages focusing on shifting cognition and beliefs, increasing legal risk perception, and emphasizing stringent law enforcement, primarily delivered through online channels. Our results underscore the necessity for adaptable, audience-tailored interventions to reduce consumer demand for illegal wildlife products. The mixed-methods approach, combining quantitative and qualitative data, provided a comprehensive understanding of the target behavior and can inform the development of effective intervention strategies.

Health information systems with technology acceptance model approach: A systematic review

In the rapidly evolving landscape of information technologies, individuals and organizations must adapt to the digital age. Given the diversity in users' knowledge and experience with technology, their acceptance levels also vary. Over the past 30 years, various theoretical models have been introduced to provide a framework for understanding user acceptance of technology. Among these, the Technology Acceptance Model (TAM) stands out as a key theoretical framework, offering insights into why new technologies are either accepted or rejected. Analyzing user acceptance of technology has thus become a critical area of study. Healthcare organizations aim to assess the perceived efficacy and user-friendliness of a given technology. This will help health organisations design and implement HIS that meet users' needs and preferences. In this context, how does the TAM clarify the acceptance and use of Health Information Systems (HIS)? To address this inquiry, a comprehensive literature review will be carried out. The systematic review involved 29 studies issued between 2018 and 2023 and searched the databases Pubmed, Scopus, Wos and Ulakbim TR Index. The PRISMA flowchart was used to identify the included studies. According to the results, some variables stand out in the acceptance and utilisation of HIS. Among the users of HIS, it can be said that the results relating to nurses stand out. In particular, there are studies which emphasise that 'gender' is a crucial factor in explaining the models. Another crucial finding of the current systematic review is the need to train users in the acceptance and use of HIS.

Relations among lie-telling self-efficacy, moral disengagement, and willingness to tell antisocial lies among children and adolescents

This study examined a proposed model of relations among lie-telling self-efficacy, moral disengagement, and willingness to tell antisocial lies among children and adolescents. Children and adolescents aged 6 to 15 years completed measures of lie-telling self-efficacy and moral disengagement. They also read vignettes about a character committing a transgression and telling a lie to conceal the transgression. For each vignette, children and adolescents made a hypothetical decision about telling the truth or a lie if they were in the character's position to assess their lie-telling propensity. Lie-telling self-efficacy was related to willingness to tell lies, and this relationship was mediated by moral disengagement. Children and adolescents with higher lie-telling self-efficacy had higher moral disengagement, and those who had higher moral disengagement were more willing to tell antisocial lies. Overall, results support Bandura's social cognitive theory as a framework for understanding the psychosocial mechanisms underlying attitudes toward lie-telling. Moreover, these findings suggest that interventions to address problematic lie-telling behavior should focus on children's and adolescents' use of moral disengagement mechanisms.

Connecting process models to response times through Bayesian hierarchical regression analysis

Process models specify a series of mental operations necessary to complete a task. We demonstrate how to use process models to analyze response-time data and obtain parameter estimates that have a clear psychological interpretation. A prerequisite for our analysis is a process model that generates a count of elementary information processing steps (EIP steps) for each trial of an experiment. We can estimate the duration of an EIP step by assuming that every EIP step is of random duration, modeled as draws from a gamma distribution. A natural effect of summing several random EIP steps is that the expected spread of the overall response time increases with a higher EIP step count. With modern probabilistic programming tools, it becomes relatively easy to fit Bayesian hierarchical models to data and thus estimate the duration of a step for each individual participant. We present two examples in this paper: The first example is children's performance on simple addition tasks, where the response time is often well predicted by the smaller of the two addends. The second example is response times in a Sudoku task. Here, the process model contains some random decisions and the EIP step count thus becomes latent. We show how our EIP regression model can be extended to such a case. We believe this approach can be used to bridge the gap between classical cognitive modeling and statistical inference and will be easily applicable to many use cases.

Decoupling Judgment and Decision Making: A Tale of Two Tails

Is it true that if citizens understand hurricane probabilities, they will make more rational decisions for evacuation? Finding answers to such questions is not straightforward in the literature because the terms "judgment" and "decision making" are often used interchangeably. This terminology conflation leads to a lack of clarity on whether people make suboptimal decisions because of inaccurate judgments of information conveyed in visualizations or because they use alternative yet currently unknown heuristics. To decouple judgment from decision making, we review relevant concepts from the literature and present two preregistered experiments (N = 601) to investigate if the task (judgment versus decision making), the scenario (sports versus humanitarian), and the visualization (quantile dotplots, density plots, probability bars) affect accuracy. While experiment 1 was inconclusive, we found evidence for a difference in experiment 2. Contrary to our expectations and previous research, which found decisions less accurate than their direct-equivalent judgments, our results pointed in the opposite direction. Our findings further revealed that decisions were less vulnerable to status-quo bias, suggesting decision makers may disfavor responses associated with inaction. We also found that both scenario and visualization types can influence people's judgments and decisions. Although effect sizes are not large and results should be interpreted carefully, we conclude that judgments cannot be safely used as proxy tasks for decision making, and discuss implications for visualization research and beyond. Materials and preregistrations are available at https://osf.io/ufzp5/?view_only=adc0f78a23804c31bf7fdd9385cb264f.

Examining the association between stigmatizing attitudes in nursing students and their desire for a career in mental health nursing: A comparative analysis of generic and accelerated programs in Israel

WHAT IS KNOWN ON THE SUBJECT?: Mental health nursing is generally viewed as the least attractive career choice among nursing students. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Studying in the generic nursing program influence higher desire for a career in mental health nursing. Nursing students who have prior experience working in mental health and have provided care to psychiatric patients are more inclined to express a desire to pursue a career in this field WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Nursing students enrolled in the generic program, who have previous work experience in mental health or experience caring for a person with a mental illness, and who have a lower level of stigmatizing attitudes, may constitute the future workforce in mental health nursing.

ABSTRACT

INTRODUCTION: Mental health nursing is often perceived as an unattractive career choice among nursing students, and it remains unclear whether the type of nursing program influences this view.

AIM

This cross-sectional study aimed to explore the association between stigmatizing attitudes in nursing students and their desire for a career in mental health nursing, comparing students in generic and accelerated programs.

METHOD

A total of 220 nursing students from generic and accelerated programs in North-Center Israel participated in this cross-sectional study, completing a questionnaire on stigmatizing attitudes and their interest in a mental health nursing career.

RESULTS

Nursing students displayed a generally low desire for mental health nursing, influenced by factors such as enrollment in the generic program, previous mental health work experience and stigmatizing attitudes.

DISCUSSION

Students in the generic program, with lower stigmatizing attitudes and prior mental health experience, exhibited a higher inclination towards mental health nursing.

IMPLICATIONS FOR PRACTICE

Prospective mental health nursing professionals may be identified in the generic program, particularly those with prior mental health experience and lower stigmatizing attitudes. Additional studies are required to confirm and broaden their applicability to other contexts.