Experiential Aspects of Participation in Employment and Mobility for Adults With Physical Disabilities: Testing Cross-Sectional Models of Contextual Influences and Well-Being Outcomes.

OBJECTIVE: To use structural equation modeling to test research- and theory-informed models of potential predictors and outcomes of subjective experiences of employment and mobility participation in a national sample of people with physical disabilities. DESIGN: Cross-sectional survey. SETTING: Canada. PARTICIPANTS: English or French-speaking adults with a physical impairment affecting mobility and restricting activities or participation, and who participated in employment (n=457) or mobility (n=711) life domains. INTERVENTIONS: N/A. MAIN OUTCOME MEASURES: Participants completed standardized measures of perceived health, and employment-specific and/or mobility-specific measures of perceived abilities, social support, accessibility and policies (predictor variables); the Measure of Experiential Aspects of Participation (MeEAP) in employment and/or mobility; and standardized measures of emotional well-being, social well-being and life satisfaction (outcome variables). RESULTS: Analyses using structural equation modeling showed that in both employment and mobility domains, perceived health, abilities, social support, and accessibility were positively related to experiential aspects of participation. Participation experiences were positively related to social well-being, emotional well-being, and life satisfaction. CONCLUSIONS: Results support and extend current theorizing on participation experiences among adults with physical disabilities. Intrapersonal and environmental factors may play a role in optimizing participation experiences in employment and mobility which, in turn, may lead to better well-being and life satisfaction. These results emphasize the importance of conceptualizing participation from an experiential perspective and provide a basis for advancing theory and practice to understand and improve the participation experiences and well-being of adults living with physical disabilities.

Artificial intelligence and the work-health interface: A research agenda for a technologically transforming world of work.

The labor market is undergoing a rapid artificial intelligence (AI) revolution. There is currently limited empirical scholarship that focuses on how AI adoption affects employment opportunities and work environments in ways that shape worker health, safety, well-being and equity. In this article, we present an agenda to guide research examining the implications of AI on the intersection between work and health. To build the agenda, a full day meeting was organized and attended by 50 participants including researchers from diverse disciplines and applied stakeholders. Facilitated meeting discussions aimed to set research priorities related to workplace AI applications and its impact on the health of workers, including critical research questions, methodological approaches, data needs, and resource requirements. Discussions also aimed to identify groups of workers and working contexts that may benefit from AI adoption as well as those that may be disadvantaged by AI. Discussions were synthesized into four research agenda areas: (1) examining the impact of stronger AI on human workers; (2) advancing responsible and healthy AI; (3) informing AI policy for worker health, safety, well-being, and equitable employment; and (4) understanding and addressing worker and employer knowledge needs regarding AI applications. The agenda provides a roadmap for researchers to build a critical evidence base on the impact of AI on workers and workplaces, and will ensure that worker health, safety, well-being, and equity are at the forefront of workplace AI system design and adoption.

Shake and Fake: the Role of Interview Anxiety in Deceptive Impression Management.

We investigated whether anxiety about self-presentation concerns during interviews (i.e., interview anxiety) is associated with applicants' use of deceptive impression management (IM) tactics. We examined the relationship between interview anxiety and deceptive IM, and we examined whether the personality traits of honesty-humility and extraversion would be indirectly related to deceptive IM through interview anxiety. Participants (N = 202) were recruited after an interview for a research assistant position. Interview anxiety scores were positively related to deceptive IM. Furthermore, there was evidence of a negative indirect effect of honesty-humility on deceptive IM, via overall interview anxiety. Also, extraversion was indirectly associated with deceptive IM through interview anxiety. Results suggest that deceptive IM can be used as a protective mechanism to maintain self-esteem or to avoid the loss of rewards. This paper is the first to examine the role of interview anxiety in interview faking.

A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment.

We propose a methodological framework to support the development of personalized courses that improve patients' understanding of their condition and prescribed treatment. Inspired by Intelligent Tutoring Systems (ITSs), the framework uses an eLearning ontology to express domain and learner models and to create a course. We combine the ontology with a procedural reasoning approach and precompiled plans to operationalize a design across disease conditions. The resulting courses generated by the framework are personalized across four patient axes-condition and treatment, comprehension level, learning style based on the VARK (Visual, Aural, Read/write, Kinesthetic) presentation model, and the level of understanding of specific course content according to Bloom's taxonomy. Customizing educational materials along these learning axes stimulates and sustains patients' attention when learning about their conditions or treatment options. Our proposed framework creates a personalized course that prepares patients for their meetings with specialists and educates them about their prescribed treatment. We posit that the improvement in patients' understanding of prescribed care will result in better outcomes and we validate that the constructs of our framework are appropriate for representing content and deriving personalized courses for two use cases: anticoagulation treatment of an atrial fibrillation patient and lower back pain management to treat a lumbar degenerative disc condition. We conduct a mostly qualitative study supported by a quantitative questionnaire to investigate the acceptability of the framework among the target patient population and medical practitioners.

Fragmentation in the future of work: A horizon scan examining the impact of the changing nature of work on workers experiencing vulnerability.

INTRODUCTION: The future of work is characterized by changes that could disrupt all aspects of the nature and availability of work. Our study aims to understand how the future of work could result in conditions, which contribute to vulnerability for different groups of workers. METHODS: A horizon scan was conducted to systematically identify and synthesize diverse sources of evidence, including academic and gray literature and resources shared over social media. Evidence was synthesized, and trend categories were developed through iterative discussions among the research team. RESULTS: Nine trend categories were uncovered, which included the digital transformation of the economy, artificial intelligence (AI)/machine learning-enhanced automation, AI-enabled human resource management systems, skill requirements for the future of work; globalization 4.0, climate change and the green economy, Gen Zs and the work environment; populism and the future of work, and external shocks to accelerate the changing nature of work. The scan highlighted that some groups of workers may be more likely to experience conditions that contribute to vulnerability, including greater exposure to job displacement or wage depression. The future of work could also create opportunities for labor market engagement. CONCLUSION: The future of work represents an emerging public health concern. Exclusion from the future of work has the potential to widen existing social and health inequities. Thus, tailored supports that are resilient to changes in the nature and availability of work are required for workers facing vulnerability.

The Participation of People with Disabilities in the Workplace Across the Employment Cycle: Employer Concerns and Research Evidence.

Despite legislation on diversity in the workplace, people with disabilities still do not experience the same access to work opportunities as do their counterparts without disabilities. Many employers have been shown to harbor sincere yet ill-founded views about the work-related abilities of people with disabilities; these negative views are often a result of interrelated concerns that permeate the entire employment cycle. In this paper, we provide evidence-based responses to 11 specific concerns that employers have about people with disabilities, from pre-employment and entry experiences to the final dissolution of the employment relationship. At each stage of the employment cycle, we summarize and evaluate the relevant empirical evidence and provide recommendations for organizations committed to creating more effective, equitable, and inclusive workplaces for all individuals. We also suggest avenues for future research.

Ideating Mobile Health Behavioral Support for Compliance to Therapy for Patients with Chronic Disease: A Case Study of Atrial Fibrillation Management.

Poor patient compliance to therapy results in a worsening condition that often increases healthcare costs. In the MobiGuide project, we developed an evidence-based clinical decision-support system that delivered personalized reminders and recommendations to patients, helping to achieve higher therapy compliance. Yet compliance could still be improved and therefore building on the MobiGuide project experience, we designed a new component called the Motivational Patient Assistant (MPA) that is integrated within the MobiGuide architecture to further improve compliance. This component draws from psychological theories to provide behavioral support to improve patient engagement and thereby increasing patients' compliance. Behavior modification interventions are delivered via mobile technology at patients' home environments. Our approach was inspired by the IDEAS (Integrate, Design, Assess, and Share) framework for developing effective digital interventions to change health behavior; it goes beyond this approach by extending the Ideation phase' concepts into concrete backend architectural components and graphical user-interface designs that implement behavioral interventions. We describe in detail our ideation approach and how it was applied to design the user interface of MPA for anticoagulation therapy for the atrial fibrillation patients. We report results of a preliminary evaluation involving patients and care providers that shows the potential usefulness of the MPA for improving compliance to anticoagulation therapy.