This study conducted policy and regulation analyses and user acceptance surveys in three East Asian countries with developed telecommunication infrastructure (China, South Korea, and Japan) to determine the most effective way to implement mobile health (mHealth). Regional differences in users\' emphasis on the purpose of mHealth, including medical information referral or health management, appear to be influenced by regional regulation, thus making regulation analysis important when considering mHealth penetration strategies. Potential mHealth users have high expectations for medical information and correspondence, which is crucial for the pharmaceutical industry in terms of providing information and retaining patients. Furthermore, potential users are willing to use the system medically, which is beneficial to the pharmaceutical industry when introducing mHealth and prescriptions in combination.

BACKGROUND: The implementation of Electronic Health Record (EHR) systems is a critical challenge, particularly in low-income countries, where behavioral intention plays a crucial role. To address this issue, we conducted a study to extend and apply the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) model in predicting health professionals\' behavioral intention to use EHR systems.
METHODS: A quantitative research approach was employed among 423 health professionals in Southwest Ethiopia. We assessed the validity of the proposed model through measurement and structural model statistics. Analysis was done using SPSS AMOS version 23. Hypotheses were tested using structural equation modeling (SEM) analysis, and mediation and moderation effects were evaluated. The associations between exogenous and endogenous variables were examined using standardized regression coefficients (β), 95% confidence intervals, and p-values, with a significance level of p-value < 0.05.
RESULTS: The proposed model outperformed previous UTAUT models, explaining 84.5% (squared multiple correlations (R2) = 0.845) of the variance in behavioral intention to use EHR systems. Personal innovativeness (β = 0.215, p-value < 0.018), performance expectancy (β = 0.245, p-value < 0.001), and attitude (β = 0.611, p-value < 0.001) showed significant associations to use EHR systems. Mediation analysis revealed that performance expectancy, hedonic motivation, and technology anxiety had significant indirect effects on behavioral intention. Furthermore, moderation analysis indicated that gender moderated the association between social influence, personal innovativeness, and behavioral intention.
CONCLUSIONS: The extended UTAUT3 model accurately predicts health professionals\' intention to use EHR systems and provides a valuable framework for understanding technology acceptance in healthcare. We recommend that digital health implementers and concerned bodies consider the comprehensive range of direct, indirect, and moderating effects. By addressing personal innovativeness, performance expectancy, attitude, hedonic motivation, technology anxiety, and the gender-specific impact of social influence, interventions can effectively enhance behavioral intention toward EHR systems. It is crucial to design gender-specific interventions that address the differences in social influence and personal innovativeness between males and females.

Agriculture remains one of the most vital economic sectors in Southeast Asia. However, the progress of this sector has been hindered by small-scale production, limited technology application, decreasing agricultural land size and quality, climate change, rapid urbanization, low productivity, and aging farmers. Technology adoption by rural farmers is still lacking, and the factors affecting farmers\' behavioral intentions are still unclear, especially in Southeast Asia. Therefore, this study aims to determine the factors affecting behavioral intentions toward technology adoption among rural Southeast Asian farmers. A systematic literature review was performed to determine the factors affecting behavioral attention to technology adoption among smallholder farmers in Southeast Asia. Approximately 18 related studies were found based on the systematic review. According to the results of the study, farmers\' behavioral intentions toward technology adoption can be classified as internal factors or external factors. Internal factors explain behavior, while external factors explain household, institutional, technological, social, and economic factors. The review revealed 21 factors categorized into five subthemes: household-specific factors, institutional factors, economic factors, technology factors, and behavior factors. This study is important because agriculture remains one of the most vital and pillar economic sectors in Southeast Asia. In addition, it has become a guideline for determining farmers\' behavioral intentions toward the adoption of new agricultural technology.

UNASSIGNED: Examine college students\' behavior intention to reduce viral outbreak transmission in the context of Mpox, and what preventive messaging strategies would be most effective in future transmissible disease outbreaks based on the Reasoned Action Approach (RAA).
UNASSIGNED: Undergraduates at a mid-Atlantic U.S. University.
UNASSIGNED: An online survey (n = 266) conducted at the height of the recent Mpox outbreak in the U.S., asked about five target behaviors to reduce Mpox transmission, including RAA determinants for each behavior.
UNASSIGNED: Highest intention was safe sex practices, lowest were vaccination and sexual abstinence, and sharing dishes and fabrics were in between. RAA determinants differed by target behavior, although attitudes were significantly positively associated with intention for all five behaviors.
UNASSIGNED: College students are potentially open to preventative behaviors to reduce viral transmission during an outbreak. However, specific target behavior matters and messaging should focus on differing RAA determinants depending on target behavior.

This paper presents the impact of using virtual reality (VR) in education and focuses on the main factors that affect the behavioral intention of using this new technology for the benefit of both professors and students. As part of our research methodology, we conducted a survey based on the Technology Acceptance Model and used partial least squares structural equation modelling. The results show that the intention to use VR technology in education is influenced by both usage satisfaction and the task-technology fit. The system quality of the VR technology proved to be important in influencing both the task-technology fit and perceived usefulness. The findings are useful for professors considering the adoption of new technologies that might improve the efficiency of learning for their students. Additionally, managers of educational institutions can use these insights to direct investments towards this type of innovation, which appeals to newer generations.

BACKGROUND: Pre-hospital delay is the major cause of stroke treatment delay, and behavioral intention is considered to be the most direct predictor of behavior. Therefore, to effectively reduce stroke pre-hospital delay, it is essential to further understand the relationship between stroke pre-hospital delay intention (SPDBI) and its social-psychological influencing factors, namely personality traits, social support and coping style.
OBJECTIVE: This study aims at examining the relationships among personality traits, coping style, social support, and SPDBI.
METHODS: A cross-sectional, self-administered questionnaire was distributed to 845 residents. The content of the questionnaire included demographic information, the knowledge of \"Stroke 120\", Ten-Item Personality Inventory-Chinese version, Simplified Coping Style Questionnaire, Perceived Social Support Scale and SPDBI Scale. Path analysis was used to investigate the relationship among SPDBI and its psychosocial influencing factors.
RESULTS: The final path model showed a good fit to the data (χ2/df = 2.981, RMSEA = 0.048, GFI = 0.936, CFI = 0.941). Extroversion (β = 0.106), positive coping (β = -0.110), negative coping (β = 0.150) and the knowledge of \"Stroke 120\" (β = -0.152) had only direct effects on SPDBI. While agreeableness (β = 0.113), openness (β = -0.121) and social support (β = -0.118) had direct effects on SPDBI, they also had indirect effects (β = -0.009; -0.022; -0.049) on SPDBI though positive coping.
CONCLUSIONS: Adequate social support and positive coping of health threat may reduce residents\' SPDBI. Meanwhile, the interventions to reduce SPDBI should take personality differences into consideration.

Placeness is believed to play a significant role in enhancing the well-being and place-use of individuals, contributing profoundly to how spaces are experienced and interacted with. Despite its perceived importance, there is ongoing debate and insufficient clarity about how exactly placeness influences people\'s behavior. This study aims to bridge this gap by theorizing and investigating the pathways from placeness to people\'s behavioral intentions, emphasizing the roles of personal place attachment and public place image as pivotal mediators in this relationship. To explore these dynamics, we conducted a survey in Japan, examining the complex interplay between placeness and behavioral intentions, given their rich cultural heritage and modern urban pressures. We employed the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach for path analysis. The analysis suggests that placeness influences behavioral intention through personal place attachment. While placeness does affect public place image, this public image does not have an impact on behavioral intention. The results demonstrated that an individual\'s activities, experiences, and cognition of a place are significant factors in creating the intention to engage in word-of-mouth, recommendation, and revisiting behaviors. Policymakers, urban planners, and designers need to understand how to foster people\'s behavioral intentions when creating a place imbued with placeness.

Cutaneous leishmaniasis (CL) is a disease transmitted by mosquitoes and is endemic in many regions of the world and Iran, and annually imposes a large burden on the health system. This study was conducted to identify the effective factors in the preventive behaviors of CL based on the BASNEF model in endemic areas in the northwest of Iran. This cross-sectional study was conducted in Bileh-Savar, \'endemic areas of Ardabil Province, Iran\', from June 2022 to October 2022. 200 non-patients were included in the study by a multi-stage sampling method. A standard questionnaire based on the BASNEF model was applied for data collection. The data were analyzed using SPSS version 25. Means and standard deviations were calculated to describe the continuous variables, and multivariate linear regression analysis was used to determine the prediction of intention and behavior by the model structures. The BASNEF constructs predict 27% of behavioral intention changes. Among the constructs, attitude has a greater contribution in predicting changes (R2 = 0.27, p < 0.01). Also, the results showed that the BASNEF constructs predict 23% of behavior changes. Among the constructs, enabling factors have a greater contribution to predicting changes (R2 = 0.23, p < 0.01). This finding shows that behavior is more influenced by environmental factors, and educational interventions based on behavior change models, along with providing environmental conditions, can facilitate behavior change.

UNASSIGNED: To assess the Behavioral Intention Predictive Framework\'s utility in explaining variation in cancer patients\' strong behavioral intention (SBI) to use LEAPS (Listen, Educate, Assess, Partner, Support) communication skills after viewing training videos.
UNASSIGNED: Ninety-eight patients were enrolled through anonymized online platforms to view LEAPS training videos, complete background and communication questionnaires and report their SBI to use LEAPS skills.
UNASSIGNED: On average, patients indicated SBI to use 6 of 13 skills and 46% of patients expressed SBI across individual skills. The framework explained 27.7% of the adjusted variance in SBI with significant predictors of frequent past use of LEAPS-related shared decision-making behaviors, poor emotional health, being rarely accompanied to visits and positive ratings of narrative videos. Finally, 21.7% of the adjusted variance in problem communication was explained by infrequent use of LEAPS-related information behaviors, patient accompaniment of another adult and positive narrative scores.
UNASSIGNED: Patients SBI to use multiple LEAPS skills and past problem communication were explained by framework predictors.
UNASSIGNED: Despite theoretical and empirical evidence that behavioral intention significantly predicts behavior, it has not been studied in patient communication research. Application of the novel framework to LEAPS training videos contributes an innovative address of this research gap.

BACKGROUND: Antibiotics have been widely used in feed and drinking water for food animals to prevent them from getting sick. Such preventive use of antibiotics has become a contributor to increasing antibiotic resistance and thus poses threats to human health. However, consumers have little knowledge about this practice and the associated health risks of increasing transmission of antibiotic residues and antibiotic resistant bacteria. This study aimed to examine the effect of information provision on consumers\' risk perceptions, support for a ban, and behavioral intention regarding the preventive use of antibiotics in food animals. Especially, the study sought to test two competing hypotheses which were informed by two theoretical perspectives of fear appeal theory - the linear model and the plateau effect model. The former suggested that providing information on the health risks of both antibiotic residues and antibiotic resistant bacteria would have a stronger effect compared to providing information on only one of them, while the latter posited that providing information on both risks might not have additional influence, as the effect of information on either risk could reach the plateau.
METHODS: An experimental study with four conditions was conducted where participants read different information on the health risks associated with the preventive use first and then answered questions regarding consumers\' risk perceptions, support for a ban, and behavioral intention regarding the preventive use. Condition 1 was the control condition, where basic information about antibiotics, antibiotic resistance, and the preventive use was provided. Condition 2 and Condition 3 further added information on the health risk of antibiotic residues (Condition 2) and antibiotic resistant bacteria (Condition 3) due to the preventive use, respectively. Condition 4 provided all information contained in the first three conditions.
RESULTS: The results showed that compared to participants in the control condition, participants in Conditions 2-4 reported higher risk perceptions, stronger support for a ban on the preventive use, and a higher intention to buy meat produced without the preventive use of antibiotics. However, there were no significant differences in these factors between Conditions 2-4, indicating that providing information on the health risk of either antibiotic residues, or antibiotic resistant bacteria, or both, has similar effect on these variables. That is, the hypothesis based on the plateau effect model was supported.
CONCLUSIONS: The findings suggested that informing the public with the health risk of either antibiotic residues or antibiotic resistant bacteria associated with the preventive use is effective enough to reach plateau effect in increasing risk perceptions, support for a ban, and behavioral intention, which has important implications for policymakers and livestock industries to develop effective communication strategies to promote responsible antibiotic use in food animals.