Psychological Help-Seeking Among College Students: Applying the Multi-Theory Model of Health Behavior Change in Assessing Telehealth Use for Psychological Help-Seeking

Theory-Based Determinants of Stopping Drowsy Driving Behavior in College Students: A Cross-Sectional Study

Drowsy driving among college students is a critical public health issue due to its significant impact on road safety. This cross-sectional study aimed to investigate the determinants of stopping drowsy driving behavior among college students using the multi-theory model (MTM) of health behavior change. Data for this study were collected from September to October 2023 via a 42-item psychometric valid, web-based survey disseminated via Qualtrics, involving 725 students from a large southwestern university. Nearly half of the participants (49.38%) reported drowsy driving in the past month. Hierarchical multiple regression analysis revealed that participatory dialogue (p = 0.0008) and behavioral confidence (p < 0.0001) significantly predicted the initiation of refraining from drowsy driving, with the final model explaining 36.4% of the variance. Similarly, emotional transformation (p < 0.0001) and practice for change (p = 0.0202) significantly predicted the sustenance of behavior change, with the final model accounting for 40.6% of the variance. These findings underscore the importance of targeted MTM-based interventions focusing on enhancing students' awareness and confidence in managing drowsiness to mitigate drowsy driving, ultimately improving road safety and student well-being.

Utilization of the multi-theory model (MTM) of health behavior change to explain health behaviors: A systematic review

Background

The utilization of a theoretical framework is vital in health promotion research, particularly when endeavoring to modify health behaviors. This systematic review aimed at evaluating and synthesizing evidence through studies conducted using the fourth-generation multi-theory model (MTM) of health behavior change for its effectiveness.

Methods

A comprehensive article search was performed across MEDLINE, CINAHL, and Academic Search Premier. The search focused on studies utilizing MTM from 2016 to December 2023, following the PRISMA guidelines for systemic reviews.

Results

An initial pool of 7583 articles was narrowed down through screening of titles, abstracts, and full texts. A total of 69 articles met the inclusion criteria. These studies, encompassing a global range of diverse target groups and health behaviors, were categorized as qualitative, cross-sectional, or experimental. The six qualitative studies revealed MTM themes for diverse health behaviors. The fifty-six cross-sectional studies showed MTM constructs effectively predicting behavior change, albeit with varying statistical significance. The seven experiments demonstrated MTM's role in initiating and sustaining change. For the initiation model, operationalized by 49 studies, the mean adjusted R2 was 38.4% (SD=16.4%). For the sustenance model, operationalized by 45 studies, the mean adjusted R2 was 38.9% (SD=15.5%).

Conclusion

This systematic review corroborates the MTM as a potent framework for understanding, predicting, and facilitating health behavior changes. Its universal applicability and effectiveness underscore the model's potential as a foundational tool in designing future health promotion strategies and interventions aimed at positive and enduring behavior modifications.

The Impact of Telehealth Expansion on Health Care Utilization, Access, and Outcomes During the Pandemic: A Systematic Review

Introduction: The COVID-19 pandemic brought unprecedented change to the health care industry, including a large and rapid shift to providing care through telehealth technologies. Although the expansion of telehealth services was successful in continuing to provide patients with care while preventing the spread of disease, it is less clear how patient sociodemographic characteristics influenced telehealth use during this time. This study aims to systematically review the published literature on demographic differences in telehealth access, utilization, and health outcomes among a variety of adult patient types in the United States. Methods: Litcovid, PubMed, Web of Science, and MEDLINE databases were searched, resulting in a final sample of n = 32 studies. Results: Results found that studies could be categorized as addressing at least one of eight different areas of inquiry: sociodemographic differences in telehealth use (1) during and (2) before the pandemic, telehealth use versus nonuse (3) during and (4) before the pandemic, (5) telehealth modality, (6) satisfaction with telehealth, (7) outcomes associated with telehealth use, and (8) perceived or actual access to telehealth services. Discussion: Findings are robust across included studies with respect to racial, age, and socioeconomic differences in telehealth utilization and health outcomes, reflecting sociodemographic differences in health care access, utilization, and outcomes more broadly that persist despite this expansion of telehealth services owing to COVID-19. Additional findings across studies are summarized and areas for future research are discussed.