1697 research outputs found
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Student Services Desk, undated
No full textThis photo features Student Services front desk.https://fuse.franklin.edu/studentservices/1000/thumbnail.jp
Coaching Fast–Coaching Slow: Applying Positive Psychology, Behavioral Economics and Neuroscience to Leadership Coaching
No full textWhat can the rapidly expanding esoteric field of Neuroscience or Brain Science possibly offer the very pragmatic “hands on” Leadership Coaching profession? How can research findings from the fields of Positive Psychology and Behavioral Economics be productively used by the practicing Leadership Coach? Does a choice of coaching style and speed of interaction actually matter in producing successful coaching outcomes? This paper will explore answers to these questions, discuss some of the relevant research and offer practical applications and insights that can be used by the practicing leadership coach to become more effective. The intent of this work is to help bridge the gap between cognitive neuroscience, positive psychology, and behavioral economics and the application of useful tools for the leadership coach. In particular, the body of work and insights of Nobel prize-winning Israeli-American Psychologist Daniel Kahneman will be highlighted. Included in the paper is a definition of both fast and slow coaching, potential areas of neuroscience research support, examples of fast and slow techniques, integration of the two modes, implications for research, and a closing summary
Fall Prevention in Home Care: The Introduction of the STEADI Initiative as Evidence-based Tool
No full textProblem: Falls continue to be one of the leading causes of injury and mortality among older adults and remain a significant driver of healthcare utilization and cost. Within the home health setting, inconsistent practices in fall risk assessment and intervention have contributed to care gaps and increased patient vulnerability. The absence of a standardized, evidence-based process created the need for a structured quality improvement initiative to strengthen patient safety.
Aim of the Project: The purpose of this quality improvement project was to integrate the CDC’s Stopping Elderly Accidents, Deaths, and Injuries (STEADI) toolkit into home health visits to enhance the consistency of fall risk screening, guide targeted interventions, and ultimately reduce fall events.
Review of the Evidence: A review of the literature supports the use of structured fall risk screening and multifactorial interventions to reduce adverse outcomes among community-dwelling older adults. The STEADI toolkit offers validated instruments and a framework for informed clinical decision-making, thereby enhancing provider adherence to best practices. Evidence suggests that the consistent use of such standardized tools strengthens the early detection of risk factors and informs timely, individualized prevention strategies.
Project Design: The project was guided by a quality improvement framework using the Plan-Do-Study-Act (PDSA) cycle to implement and refine processes incrementally. The OhioHealth Change Management (OHCM) model supported staff engagement, promoted adaptability, and enhanced the sustainability of practice changes.
Intervention: The intervention incorporated STEADI screening and interventions into routine home health workflows. Staff participated in education sessions focused on assessment, documentation, and patient education. Data sources included electronic health record audits, incident reports, and staff feedback surveys.
Significant Findings/Outcomes: The implementation of the STEADI toolkit improved completion rates of fall risk assessments and standardized the delivery of fall prevention strategies. Over time, staff efficiency improved, with reduced assessment duration and more consistent documentation. The agency reported a 100% decline in fall events, reflecting both improved clinical processes and enhanced patient outcomes.
Implications for Nursing: This project highlights the value of implementing evidence-based resources such as the STEADI toolkit into everyday clinical practice. Standardization not only promotes patient safety and quality of care but also supports staff confidence in fall prevention practices. For long-term sustainability, integration into electronic health records, ongoing education, and organizational support are recommended
Unequal Access, Uneven Progress: Socioeconomic and Demographic Divides in Healthcare Digitalization
No full textDigital health technologies hold substantial promise to transform care, enhance patient engagement, and reduce health disparities. Yet, unequal access threatens to deepen existing inequities. Guided by the Digital Divide framework and the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this dissertation investigates how socioeconomic and demographic factors influence health information technology (HIT) engagement across three stages: desire to use, actual access, and intention for sustained adoption. A cross-sectional survey of 389 adult patients from a large urban primary care clinic assessed demographics, technology attitudes, and HIT engagement behaviors using an 18-item instrument survey administered in both electronic and paper formats.
Data were analyzed using Pearson’s ¿² tests, bivariate correlations, ANOVA, and multivariate techniques. Traditional demographic factors – gender, age, education, and employment – showed no significant association with HIT access or adoption intent. Satisfaction with income modestly predicted adoption intent, while social influence from close ties and lower technology anxiety were positively linked to desire and access. Employment status marginally influenced expectations for HIT use.
Findings indicate that socioeconomic context, supportive social networks, and emotional readiness, rather than traditional demographic factors, play pivotal roles in shaping HIT engagement. Interventions that enhance financial stability, leverage social encouragement, and reduce technology anxiety may enhance both initial uptake and sustained use of digital health tools, promoting equitable participation in the evolving digital health landscape
A Connectivist Approach for Introductory Biology Laboratory Courses: An Instructional Framework to Address Stem Education and Workforce Needs
No full textIn today’s 21st century society, jobs at all levels are requiring STEM knowledge and specific abilities that are associated with STEM education. Development of a diverse, knowledgeable talent pool in STEM is crucial and critics have observed the failures of universities and colleges to meet the 21st century STEM workforce needs have led to calls for an approach that better engages students in the learning process. The purpose of this study was to determine the effect of a connectivist learning instructional framework on student achievement for college students in an Introductory Biology Laboratory course. The purpose of this study was to examine the differences in academic achievement, as defined by final cumulative course scores, between students enrolled in connectivist learning environment and students in a traditional lecture-laboratory learning environment. This study utilized a quasi-experimental approach to examine are the differences in Introductory Biology Laboratory students who are instructed in a connectivist learning environment and students who receive instruction in a traditional lecture-laboratory learning environment. The final grade scores for the students in the connectivist learning environment were compared to students enrolled in the traditional learning environment. The t-test indicated that the results were significant. The study’s connectivist instructional framework emphasis on its appreciation for the role of technology in instructional practices and impacts our understanding of organizational learning initiatives and best practices to meet the needs of our 21st century society
Systemic, Cultural, and Institutional Barriers Significantly Limit Black Girls\u27 Access to Mental Health Care in the United States, and Reform is Needed to Create Equitable Support Systems
Full text linkThis paper explores how systemic, cultural, and institutional barriers prevent Black girls in the United States from accessing equitable mental health care. Drawing from peer-reviewed research and government reports, it highlights the roles of racism, stereotypes, underrepresentation in mental health professions, and school-based discipline disparities. The argument pushes for reforms in access, education, and culturally responsive care, advocating for justice-centered mental health systems that affirm and support Black girls holistically. This work seeks to challenge stigmas, expose inequities, and ignite change by centering the lived experiences of an often-overlooked population. [Abstract provided by the author.
Instructor Observing Student, undated
No full textThis photo features an instructor observing a student using a Tektronix 524AD Oscilloscope in a classroom.https://fuse.franklin.edu/ymca/1012/thumbnail.jp
Students in Machine Class, undated
No full textThis photo features a classroom of students working on machinery while being overseen by their instructor.https://fuse.franklin.edu/ymca/1014/thumbnail.jp
Complex by Design: Connecting Performance Management System Complexity to Public-Sector IT Employee Satisfaction Through Job Enrichment and Motivational Factors
No full textPerformance management systems (PMS) such as Specific, Measurable, Achievable, Relevant, and Time-bound (SMART) Goals and the Balanced Scorecard (BSC) framework are commonly utilized by organizations to influence employee outcomes. Prior research in both private and public-sector contexts has highlighted the promise of PMSs to improve job satisfaction, organizational commitment, and turnover intention, especially when systems are aligned with broader strategic goals and are perceived as fair by employees. However, the literature also documents significant variability in outcomes, with public-sector information technology settings facing persistent challenges because of bureaucratic complexity, cultural resistance, and inconsistent application of PMS frameworks. The consistency of PMS effectiveness was often constrained by inconsistent implementation and limited understanding of PMS complexity. This study empirically examined whether deliberate increases in PMS complexity positively influenced employee satisfaction, organizational commitment, and turnover intention. This study was grounded in job motivational theories and conducted by applying a vignette factorial survey of U.S. public-sector information technology workers through Amazon Mechanical Turk. The study compared SMART Goals to the BSC and three levels of complexity at the initial proposal of the PMS to employees. Quantitative analyses revealed a statistically significant positive relationship between PMS complexity and job satisfaction. Demographics demonstrated trends in job satisfaction, organizational commitment, and turnover intention related to age, gender, experience, and education, including tendencies towards individualist versus communal attitudes that were not overcome by the choice of or change in the PMS. Notably, only PMS complexity shifted these patterns, and only through positive correlations with job satisfaction
PSI Pneumonia Project
Full text linkThis project investigates the use of the Pneumonia Severity Index (PSI) in conjunction with administrative claims data to improve the identification of inappropriate principal diagnoses for inpatient claims classified as DRG 193 (Simple Pneumonia & Pleurisy with MCC). By mapping PSI clinical factors to UB-04 claim form elements and ICD-10-CM codes, a predictive model was developed and tested on 2,038 claims. The model demonstrated a 46% accuracy rate in identifying claims with audit findings, suggesting that integrating clinical decision tools like PSI can enhance audit efficiency and reduce unnecessary claim reviews. Limitations include reliance on proxy data and restricted access to clinical information. Future work will explore broader clinical decision support tools and refine diagnostic criteria for model expansion. [Abstract generated by AI.