Employee Engagement in a Cardiac Catherization Lab

Employee Engagement in a Cardiac Catheterization Lab by Rhonda J. Smith Project Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Nursing Practice Walden University February 2016 This study adds to the existing body of knowledge on employee engagement and workplace climate in the catheter laboratory setting. The study goals were to discover the current state of workplace satisfaction and then to share the results with the staff to determine what to improve and how to guide them through the Lean process. This study was guided by Kanter\u27s structural empowerment theory, which holds that structural factors inside the workplace have a greater impact on employee work feelings and behaviors than do the employees\u27 own personal tendencies. It was also guided by the Lean model, which aims to transform an organization\u27s culture via a customer-focused method to constantly produce improvement opportunities, remove waste, and create value. This project utilized a descriptive research design. The catheter laboratory staff were e-mailed a link to complete a staff engagement and workplace climate survey. The survey was based off of a prior staff satisfaction survey used by the organization for consistency, but was not validated in the process. This survey provided a means to establish employee attitudes on several aspects analyzed by a 7 point-Likert scale. Of the 19 staff members who received the survey, 11 completed it, yielding a 60% response rate. Overall, the staff indicated that they were satisfied with their job and enjoyed working in their department. The findings from this survey were shared with the catheter laboratory staff and they chose to work on improving teamwork with departments outside of cardiology. The results of this study reinforce existing literature that demonstrates that employees who are engaged in the workplace are happier and more productive. The concept of staff engagement has been linked to higher quality patient outcomes, greater financial viability, increased productivity, and higher employee satisfaction

Mystic Inspiration of Effective Habits?

Although numerous and diverse publications address professors’ writing and research productivity, exceedingly few empirical studies report findings for interventions designed and implemented to increase professors’ research productivity. This study used an innovative mixed methods design with a concurrent triangulation strategy and methods from two research traditions that investigators rarely integrate – quantitative single-case interventions and qualitative inquiry. Processes and findings from this study illustrate how researchers can combine these methods to illuminate the how and why of changes in performance in participant-interventionist studies. In this study, university professors used goal setting and behavioral self-management techniques to increase their daily research productivity and the number of manuscripts they submitted to professional journals. Based on findings and existing literature, we identify practical habits that increase research productivity. This study extends the literature base that includes numerous descriptive articles and opinion pieces on many topics about scholarly productivity, but few intervention studies that report quantitative findings

Visualization Support for Cognitive Sciences

The science of computer graphics and visualization is intertwined in many ways with Cognitive Sciences. On the one hand, computer graphics can lead to virtual environments in which a person is exposed to a virtual scenario. Typically, 3D-capable display technology combined with tracking systems, which are capable of identifying where the person is located at, are deployed to achieve maximal immersion in that the persons point of view is recreated in the virtual scenario. As a result, an impressive experience is created such that that person is navigating the virtual scenario as if it was real. On the other hand, visualization techniques can be utilized to present the results from a cognitive science experiment to the user such that it provides easier access to the data. This could range from simple plots to more sophisiticated approaches, such as parallel coordinates. In addition, results from cognitive sciences can feed back into the visualization to make the visualization more user-friendly. For example, more intuitive input devices, such as cyber gloves which track the position of a users fingers, could be used to intuitively make selections or view modifications. The Appenzeller Visualization Laboratory is in a perfect position to enable research in all of these areas mentioned above. Sophisticated display systems are available which provide full immersion, ranging from single screens and head-mounted displays to full-size CAVE-type displays. This presentation will illustrate some examples for visualizations of data from the cognitive science realm and showcase display systems and some of their use cases

When Programs Collide - A Panel Discussion on the Competing Interests of Analytics and Security

The increasing demand for business analytics and cybersecurity professionals provides an exciting job outlook for graduates of information systems programs. However, the rapid proliferation of devices and systems that has spurred this trend has created a challenging ethical dilemma for those responsible for educating future generations of IT professionals. Many firms are collecting and storing as much data as possible in the hopes that technology might uncover useful insights in the future. This results in an ever-increasing challenge for those charged with protecting organizational assets and exerts pressure on executives seeking an analytical edge to remain profitable in a hyper-competitive marketplace. With this dilemma in mind, the panel will search for a delicate balance between unleashing the power of analytics and securing the sensitive data it consumes. Keyword

When Programs Collide: A Panel Report on the Competing Interests of Analytics and Security

The increasing demand for business analytics and cybersecurity professionals provides an exciting job outlook for graduates of information systems programs. However, the rapid proliferation of devices and systems that spurred this trend has created a challenging ethical dilemma for the individuals responsible for educating future generations of information technology professionals. Many firms collect and store as much data as possible in the hope that technology might uncover useful insights in the future. This behavior results in an ever-increasing challenge for those charged with protecting organizational assets and exerts pressure on executives seeking an analytical edge to remain profitable in a hyper-competitive marketplace. With this dilemma in mind, a recent panel discussion at the 14th Annual Midwest Association for Information Systems Conference explored the delicate balance between unleashing the power of analytics and securing the sensitive data it consumes while respecting consumer privacy. This paper reports on that discussion and its insights

Engineering Virtuous health habits using Emotion and Neurocognition: Flexibility for Lifestyle Optimization and Weight management (EVEN FLOW)

Interventions to preserve functional independence in older adults are critically needed to optimize ‘successful aging’ among the large and increasing population of older adults in the United States. For most aging adults, the management of chronic diseases is the most common and impactful risk factor for loss of functional independence. Chronic disease management inherently involves the learning and adaptation of new behaviors, such as adopting or modifying physical activity habits and managing weight. Despite the importance of chronic disease management in older adults, vanishingly few individuals optimally manage their health behavior in the service of chronic disease stabilization to preserve functional independence. Contemporary conceptual models of chronic disease management and health habit theory suggest that this lack of optimal management may result from an underappreciated distinction within the health behavior literature: the behavioral domains critical for initiation of new behaviors (Initiation Phase) are largely distinct from those that facilitate their maintenance (Maintenance Phase). Psychological factors, particularly experiential acceptance and trait levels of openness are critical to engagement with new health behaviors, willingness to make difficult lifestyle changes, and the ability to tolerate aversive affective responses in the process. Cognitive factors, particularly executive function, are critical to learning new skills, using them effectively across different areas of life and contextual demands, and updating of skills to facilitate behavioral maintenance. Emerging data therefore suggests that individuals with greater executive function are better able to sustain behavior changes, which in turn protects against cognitive decline. In addition, social and structural supports of behavior change serve a critical buffering role across phases of behavior change. The present review attempts to address these gaps by proposing a novel biobehavioral intervention framework that incorporates both individual-level and social support system-level variables for the purpose of treatment tailoring. Our intervention framework triangulates on the central importance of self-regulatory functioning, proposing that both cognitive and psychological mechanisms ultimately influence an individuals’ ability to engage in different aspects of self-management (individual level) in the service of maintaining independence. Importantly, the proposed linkages of cognitive and affective functioning align with emerging individual difference frameworks, suggesting that lower levels of cognitive and/or psychological flexibility represent an intermediate phenotype of risk. Individuals exhibiting self-regulatory lapses either due to the inability to regulate their emotional responses or due to the presence of executive functioning impairments are therefore the most likely to require assistance to preserve functional independence. In addition, these vulnerabilities will be more easily observable for individuals requiring greater complexity of self-management behavioral demands (e.g. complexity of medication regimen) and/or with lesser social support. Our proposed framework also intuits several distinct intervention pathways based on the profile of self-regulatory behaviors: we propose that individuals with intact affect regulation and impaired executive function will preferentially respond to ‘top-down’ training approaches (e.g., strategy and process work). Individuals with intact executive function and impaired affect regulation will respond to ‘bottom-up’ approaches (e.g., graded exposure). And individuals with impairments in both may require treatments targeting caregiving or structural supports, particularly in the context of elevated behavioral demands

Engineering Virtuous Health Habits Using Emotion and Neurocognition: Flexibility for Lifestyle Optimization and Weight Management (EVEN FLOW)

Interventions to preserve functional independence in older adults are critically needed to optimize \u27successful aging\u27 among the large and increasing population of older adults in the United States. For most aging adults, the management of chronic diseases is the most common and impactful risk factor for loss of functional independence. Chronic disease management inherently involves the learning and adaptation of new behaviors, such as adopting or modifying physical activity habits and managing weight. Despite the importance of chronic disease management in older adults, vanishingly few individuals optimally manage their health behavior in the service of chronic disease stabilization to preserve functional independence. Contemporary conceptual models of chronic disease management and health habit theory suggest that this lack of optimal management may result from an underappreciated distinction within the health behavior literature: the behavioral domains critical for initiation of new behaviors (Initiation Phase) are largely distinct from those that facilitate their maintenance (Maintenance Phase). Psychological factors, particularly experiential acceptance and trait levels of openness are critical to engagement with new health behaviors, willingness to make difficult lifestyle changes, and the ability to tolerate aversive affective responses in the process. Cognitive factors, particularly executive function, are critical to learning new skills, using them effectively across different areas of life and contextual demands, and updating of skills to facilitate behavioral maintenance. Emerging data therefore suggests that individuals with greater executive function are better able to sustain behavior changes, which in turn protects against cognitive decline. In addition, social and structural supports of behavior change serve a critical buffering role across phases of behavior change. The present review attempts to address these gaps by proposing a novel biobehavioral intervention framework that incorporates both individual-level and social support system-level variables for the purpose of treatment tailoring. Our intervention framework triangulates on the central importance of self-regulatory functioning, proposing that both cognitive and psychological mechanisms ultimately influence an individuals\u27 ability to engage in different aspects of self-management (individual level) in the service of maintaining independence. Importantly, the proposed linkages of cognitive and affective functioning align with emerging individual difference frameworks, suggesting that lower levels of cognitive and/or psychological flexibility represent an intermediate phenotype of risk. Individuals exhibiting self-regulatory lapses either due to the inability to regulate their emotional responses or due to the presence of executive functioning impairments are therefore the most likely to require assistance to preserve functional independence. In addition, these vulnerabilities will be more easily observable for individuals requiring greater complexity of self-management behavioral demands (e.g. complexity of medication regimen) and/or with lesser social support. Our proposed framework also intuits several distinct intervention pathways based on the profile of self-regulatory behaviors: we propose that individuals with intact affect regulation and impaired executive function will preferentially respond to \u27top-down\u27 training approaches (e.g., strategy and process work). Individuals with intact executive function and impaired affect regulation will respond to \u27bottom-up\u27 approaches (e.g., graded exposure). And individuals with impairments in both may require treatments targeting caregiving or structural supports, particularly in the context of elevated behavioral demands

Engineering Virtuous health habits using Emotion and Neurocognition: Flexibility for Lifestyle Optimization and Weight management (EVEN FLOW)

Interventions to preserve functional independence in older adults are critically needed to optimize ‘successful aging’ among the large and increasing population of older adults in the United States. For most aging adults, the management of chronic diseases is the most common and impactful risk factor for loss of functional independence. Chronic disease management inherently involves the learning and adaptation of new behaviors, such as adopting or modifying physical activity habits and managing weight. Despite the importance of chronic disease management in older adults, vanishingly few individuals optimally manage their health behavior in the service of chronic disease stabilization to preserve functional independence. Contemporary conceptual models of chronic disease management and health habit theory suggest that this lack of optimal management may result from an underappreciated distinction within the health behavior literature: the behavioral domains critical for initiation of new behaviors (Initiation Phase) are largely distinct from those that facilitate their maintenance (Maintenance Phase). Psychological factors, particularly experiential acceptance and trait levels of openness are critical to engagement with new health behaviors, willingness to make difficult lifestyle changes, and the ability to tolerate aversive affective responses in the process. Cognitive factors, particularly executive function, are critical to learning new skills, using them effectively across different areas of life and contextual demands, and updating of skills to facilitate behavioral maintenance. Emerging data therefore suggests that individuals with greater executive function are better able to sustain behavior changes, which in turn protects against cognitive decline. In addition, social and structural supports of behavior change serve a critical buffering role across phases of behavior change. The present review attempts to address these gaps by proposing a novel biobehavioral intervention framework that incorporates both individual-level and social support system-level variables for the purpose of treatment tailoring. Our intervention framework triangulates on the central importance of self-regulatory functioning, proposing that both cognitive and psychological mechanisms ultimately influence an individuals’ ability to engage in different aspects of self-management (individual level) in the service of maintaining independence. Importantly, the proposed linkages of cognitive and affective functioning align with emerging individual difference frameworks, suggesting that lower levels of cognitive and/or psychological flexibility represent an intermediate phenotype of risk. Individuals exhibiting self-regulatory lapses either due to the inability to regulate their emotional responses or due to the presence of executive functioning impairments are therefore the most likely to require assistance to preserve functional independence. In addition, these vulnerabilities will be more easily observable for individuals requiring greater complexity of self-management behavioral demands (e.g. complexity of medication regimen) and/or with lesser social support. Our proposed framework also intuits several distinct intervention pathways based on the profile of self-regulatory behaviors: we propose that individuals with intact affect regulation and impaired executive function will preferentially respond to ‘top-down’ training approaches (e.g., strategy and process work). Individuals with intact executive function and impaired affect regulation will respond to ‘bottom-up’ approaches (e.g., graded exposure). And individuals with impairments in both may require treatments targeting caregiving or structural supports, particularly in the context of elevated behavioral demands