Accuracy-sensitisation promotes the sharing of pro- (but not anti-) vaccine information

OBJECTIVE

This study investigated (i) factors predicting the seeking and sharing of vaccinerelated information, and (ii) the effect of an accuracy-sensitisation prime on sharing intentions. Design:This was a preregistered online survey with 213 participants. Participants were randomly assigned to an intervention group (who were exposed to an accuracy-sensitisation prime) or a control group.

DESIGN

This was a preregistered online survey with 213 participants. Participants were randomly assigned to an intervention group (who were exposed to an accuracy-sensitisation prime) or a control group.

MAIN OUTCOME MEASURES

Measures included decision-making style, COVID-19 anxiety, and percentages of pro and anti-vaccine friends. We also measured preferences to seek pro or anti-vaccine-related information and sharing intentions with respect to this information.

RESULTS

Compared with those seeking both pro and anti-vaccine information, participants seeking only pro-vaccine information had lower hypervigilance and buck-passing and higher COVID-19 anxiety. The likelihood of sharing anti-vaccine information was positively predicted by the percentage of one's anti-vaccine friends, the size of one's social network, and conservative political orientation. Conversely, the likelihood of sharing pro-vaccine information was positively predicted by the percentage of one's pro-vaccine friends, and liberal political orientation. Participants sensitised to accuracy were significantly more likely to share provaccine information; however, accuracy-sensitisation had no effect on anti-vaccine information sharing.

CONCLUSIONS

Individuals who seek anti-vaccine information have a tendency towards disorganised and impulsive decision-making. Accuracy-sensitisation may prime people to internalise a norm promoting truth-sharing.

Automatic Decision-Making Style Recognition Method Using Kinect Technology

In recent years, somatosensory interaction technology, represented by Microsoft's Kinect hardware platform, has been widely used in various fields, such as entertainment, education, and medicine. Kinect technology can easily capture and record behavioral data, which provides new opportunities for behavioral and psychological correlation analysis research. In this paper, an automatic decision-style recognition method is proposed. Experiments involving 240 subjects were conducted to obtain face data and individual decision-making style score. The face data was obtained using the Kinect camera, and the decision-style score were obtained via a questionnaire. To realize automatic recognition of an individual decision-making style, machine learning was employed to establish the mapping relationship between the face data and a scaled evaluation of the decision-making style score. This study adopts a variety of classical machine learning algorithms, including Linear regression, Support vector machine regression, Ridge regression, and Bayesian ridge regression. The experimental results show that the linear regression model returns the best results. The correlation coefficient between the linear regression model evaluation results and the scale evaluation results was 0.6, which represents a medium and higher correlation. The results verify the feasibility of automatic decision-making style recognition method based on facial analysis.

Hunting the Best Opportunity Through the Arrow of General Decision-Making Styles: Unfolding the Role of Social Capital and Entrepreneurial Intention

This research aims to identify the investor's decision-making styles and their impact on entrepreneurial opportunities through the mediation role of entrepreneurial intention and moderation effect of social capital in the healthcare sector of Pakistan. This study applied a structural equation modeling (SEM) to test the hypotheses on a sample of 400 healthcare investors. Our findings reveal that the conditional indirect relationship of entrepreneurial intention through social capital was significant on opportunity creation and an insignificant influence on opportunity discovery from decision-making styles. This study provides implications for policymakers to enhance entrepreneurial opportunity creation by providing robust social environment investors and encouraging them to create business ventures in the healthcare sector.

Sensory-Processing Sensitivity and Pathways to Depression and Aggression: The Mediating Role of Trait Emotional Intelligence and Decision-Making Style-A Pilot Study

While the link between sensory-processing sensitivity (SPS) and internalizing symptoms has been well-established, a link to externalizing problems is still to be explored. This study aimed to further examine the relation between SPS and behavioral problems by testing the potential mediating roles of trait emotional intelligence (TEI) and decision-making styles. Pathway analyses were conducted on data from 268 community sample participants (M_age = 25.81, SD = 2.41, 61.2% females). Results indicated gender differences in the pathway level outcomes of SPS, as well as potential partial mediators in men and women. SPS both directly and via the mediating effects of the well-being factor (TEI) and avoidant decision-making influenced depression, regardless of gender. Direct effects on aggression were, however, obtained only in the male sample. Indirect effects of SPS on aggression were found in spontaneous decision-making for men and in the self-control and sociability factors of TEI for women. Directions for future research were discussed.

Preference for Intuition and Deliberation in Eating Decision-making: Scale validation and associations with eating behaviour and health

OBJECTIVES

Two distinct lines of research separately regard either deliberately regulated eating or intuitive eating as most beneficial for health. The present research aims to integrate these seemingly contradictory findings by investigating the relationships between Preference for Intuition and Deliberation in Eating Decision-making (E-PID) and subjective and objective health-related parameters using a newly developed scale.

DESIGN

Study 1: online survey; Study 2: cross-sectional community cohort sample.

METHODS

Study 1 (N = 699) assessed E-PID, intuitive, restrained, and external eating, motivation to eat healthily, domain-unspecific Preference for Intuition and Deliberation, and general self-control. Study 2 (N = 1,212) assessed E-PID, positive eating, intention to eat healthily, eating behaviour, and objective health risk factors (BMI, waist circumference, blood pressure, fasting serum glucose, HDL cholesterol, triglycerides).

RESULTS

Study 1 confirmed a two-factor structure and provided evidence for construct validity: A higher preference for intuition was positively related to intuitive eating, while a higher preference for deliberation was associated with increased dietary restraint. In Study 2, preference for deliberation was positively related to the intention to eat healthy, healthy eating behaviour, and health parameters. Preference for intuition was generally unrelated to health parameters, although a higher preference for intuition was related to a somewhat unhealthier eating pattern.

CONCLUSIONS

Preference for intuition and deliberation when making food choices are two distinct decision-making styles: The former focuses on internal cues, while the latter focuses on cognitive regulation of food intake. Despite these differences, neither decision-making style was shown to be detrimental.

Relationship Between Nurses' Decision-Making Style and Their Disaster Response Competencies

Nurses are the first respondents to the critical situations and therefore must be able to effectively manage the critical situations using their competencies. Given that the decision-making style under the stressful critical situations is an important component of the care process in these situations, this study was conducted with the aim of determining the relationship between decision-making style and nurses' disaster response competencies.This descriptive, analytical study was conducted in Shahr-e Kord city in 2018. A total of 300 nurses were selected from Ayatollah Kashani and Hajar hospitals by multistage sampling and from the Emergency Medical Services Center by the census method. Data were collected using the Disaster Nursing Competence Assessment and the decision-making style questionnaires and analyzed with SPSS 21 (IBM Corp, Armonk, NY).Most of the nurses used the intuitive decision-making style and the total score of disaster nursing competencies was 162.58 ± 22.70. Pearson's correlation coefficient indicated that there was a positive relation between decision-making style and nurses' disaster response competencies.The results show that decision-making style affects nurses' competencies for disaster response and provides evidence for the development of educational policies in disaster nursing education.

Smoker profiles and their influence on smokers' intention to use a digital decision aid aimed at the uptake of evidence-based smoking cessation tools: An explorative study

OBJECTIVES

Evidence-based smoking cessation support tools (EBSTs) can double the quitting chances, but uptake among smokers is low. A digital decision aid (DA) could help smokers choose an EBST in concordance with their values and preferences, but it is unclear which type of smokers are interested in a digital DA. We hypothesized that smokers' general decision-making style (GDMS) could be used to identify early adopters. This study therefore aimed to identify smoker profiles based on smokers' GDMS and investigate these profiles' association with intention to use a digital DA.

DESIGN

A cross-sectional dataset (N = 200 smokers intending to quit) was used to perform a hierarchical cluster analysis based on smokers' GDMS scores.

METHODS

Clusters were compared on demographic and socio-cognitive variables. Mediation analyses were conducted to see if the relationship between cluster membership and intention was mediated through socio-cognitive variables (e.g., attitude).

RESULTS

Two clusters were identified; " Avoidant Regretters " (n = 134) were more avoidant, more regretful and tended to depend more on others in their decision making, while " Intuitive Non-regretters " (n = 66) were more spontaneous and intuitive in their decision making. Cluster membership was significantly related to intention to use a DA, with " Avoidant Regretters " being more interested. Yet, this association ceased to be significant when corrected for socio-cognitive variables (e.g., attitude). This indicates that cluster membership affected intention via socio-cognitive variables.

CONCLUSIONS

The GDMS can be used to identify smokers who are interested in a digital DA early on. As such, the GDMS can be used to tailor recruitment and DA content.

Multi-objective integrated planning and scheduling model for operating rooms under uncertainty

This article formulates the operating rooms considering several constraints of the real world, such as decision-making styles, multiple stages for surgeries, time windows for resources, and specialty and complexity of surgery. Based on planning, surgeries are assigned to the working days. Then, the scheduling part determines the sequence of surgeries per day. Moreover, an integrated fuzzy possibilistic-stochastic mathematical programming approach is applied to consider some sources of uncertainty, simultaneously. Net revenues of operating rooms are maximized through the first objective function. Minimizing a decision-making style inconsistency among human resources and maximizing utilization of operating rooms are considered as the second and third objectives, respectively. Two popular multi-objective meta-heuristic algorithms including Non-dominated Sorting Genetic Algorithm and Multi-Objective Particle Swarm Optimization are utilized for solving the developed model. Moreover, different comparison metrics are applied to compare the two proposed meta-heuristics. Several test problems based on the data obtained from a public hospital located in Iran are used to display the performance of the model. According to the results, Non-dominated Sorting Genetic Algorithm-II outperforms the Multi-Objective Particle Swarm Optimization algorithm in most of the utilized metrics. Moreover, the results indicate that our proposed model is more effective and efficient to schedule and plan surgeries and assign resources than manual scheduling.

Embodied Decision-Making Style: Below and Beyond Cognition

There is growing recognition of the essential role of sensorimotor processes as not just a supporter of the cognitive aspects of decision making, but rather as a foundation for all the coordinated physical and mental activities that go into how we make decisions. We illuminate concepts and methods for examining embodied decision making through the lens of Movement Pattern Analysis (MPA). MPA is as a prime example of a conceptually rooted observational methodology for deciphering embodied decision making and for decoding how people differ as decision makers with respect to cognitive motivational priorities. The historical origins of MPA that predated the formalized recognition of embodied cognition are presented, along with an overview of both the theoretical model and methodology. Advances in research on two psychometric benchmarks of observational research-inter-rater reliability and predictive validity-are highlighted as an empirical platform for the strong promise of MPA as a tool for understanding individual differences in embodied decision-making style. Future directions for research are considered-specifically with respect to the potential for utilizing automated coding, and the need for collaborative neuroscience research efforts-which would support further understanding of how decoding movement patterning captures human motivation at the level of sensory, motoric, cognitive and action integration which drives how people function as decision makers.

Beyond Self-Report: Emerging Methods for Capturing Individual Differences in Decision-Making Process

People vary in the way in which they approach decision-making, which impacts real-world behavior. There has been a surge of interest in moving beyond reliance on self-report measures to capture such individual differences. Particular emphasis has been placed on devising and applying a range of methodologies that include experimental, neuroscience, and observational paradigms. This paper provides a selective review of recent studies that illustrate the methods and yield of these approaches in terms of generating a deeper understanding of decision-making style and the notable differences that can be found across individuals.

How Physicians, Patients, and Observers Compare on the Use of Qualitative and Quantitative Measures of Physician-Patient Communication

The purpose of this study was to compare several different measures of physician-patient communication. We compared data derived from different measures of three communication behaviors, patient participation, physician information giving, and physician participatory decision-making (PDM) style, from 83 outpatient visits to oncology or thoracic surgery clinics for pulmonary nodules or lung cancer. Communication was measured with rating scales completed by patients and physicians after the consultation and by two different groups of external observers who used rating scales or coded the frequency of communication behaviors, respectively, after listening to an audio recording of the consultation. Measures were compared using Pearson's correlations. Correlations of patients' and physicians' ratings of patient participation (r = .04) and physician PDM style (r = .03) were low and not significant (p > .0083, Bonferroni-adjusted). Correlations of observers' ratings with patients' or physicians' ratings for patient participation and physician PDM style were moderate or low (r = .15, .27, .07, and .01, respectively) but were not statistically significant (p > .0083, Bonferroni-adjusted). Correlations between observers' ratings and frequency measures were .31, .52, and .63 and were statistically significant with p values .005, <.0001, and <.0001, respectively, for PDM style, information giving, and patient participation. Our findings highlight the potential for using observers' ratings as an alternate measure of communication to more labor intensive frequency measures.

Adapting Scott and Bruce's General Decision-Making Style Inventory to Patient Decision Making in Provider Choice

OBJECTIVE

Research testing the concept of decision-making styles in specific contexts such as health care-related choices is missing. Therefore, we examine the contextuality of Scott and Bruce's (1995) General Decision-Making Style Inventory with respect to patient choice situations.

METHODS

Scott and Bruce's scale was adapted for use as a patient decision-making style inventory. In total, 388 German patients who underwent elective joint surgery responded to a questionnaire about their provider choice. Confirmatory factor analyses within 2 independent samples assessed factorial structure, reliability, and validity of the scale.

RESULTS

The final 4-dimensional, 13-item patient decision-making style inventory showed satisfactory psychometric properties. Data analyses supported reliability and construct validity. Besides the intuitive, dependent, and avoidant style, a new subdimension, called "comparative" decision-making style, emerged that originated from the rational dimension of the general model.

CONCLUSIONS

This research provides evidence for the contextuality of decision-making style to specific choice situations. Using a limited set of indicators, this report proposes the patient decision-making style inventory as valid and feasible tool to assess patients' decision propensities.