1697 research outputs found
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Stigma Among Nursing Home Staff Towards Nursing Home Residents with a Mental Illness
Individuals with a mental illness is a group that is considered a vulnerable and underserved population. They face bias, discrimination, and stigma. This is not only by those in their own communities, but also by those who work in the healthcare profession. Individuals with a mental illness have become homeless, jailed, or reside in nursing homes. Much of this was due to the deinstitutionalization of the mental hospitals. Stigma is a cause for unequal treatment and/or inadequate care towards people with a mental illness. It is also believed that the younger a person is, the more diverse or empathetic that individual will be towards those who are different then him/her (Gaidhani et al., 2019). This study focused on residents diagnosed with a mental illness that reside in the nursing homes. The staff in these facilities are trained to aid those that are elderly and need assistance with basic life skills, such as dressing, bathing, eating, and mobility, but lack the ability to complete some or all of these modalities without assistance. The staff lack the knowledge and training to deal with the idiosyncrasies and behaviors of those with a mental illness (Molinari et al., 2017). This study examined if there was a difference in stigma between the different generations, working in nursing homes, towards those with a mental illness
Attitudes and Perceptions of Executive Leadership on Employee Engagement
Employee engagement seems to be at the core of employee productivity and organizational success. Healthcare organizations that lack employee engagement often experience adverse impacts on employee satisfaction and organizational outcomes. This dissertation was an exploration of how executive leadership drives employee engagement in a managed care organization. Semi-structured, qualitative interviews were conducted with 26 executive leaders within a population of 250 executive leadership staff employed at a large managed care organization within the United States. The study examines employee engagement from an executive leadership perspective to understand how their attitudes may influence employee engagement. Findings revealed key insights regarding leaders’ perceptions of employee engagement
Ohio Foster Parent Experiences Leading to Exits from the Foster Care System
Foster parents in the State of Ohio were explored in this dissertation study. The purpose of this research was to address a gap in existing literature concerning foster parent experiences in Ohio within the foster care system. The job of a foster parent is to provide a safe place and to make a difference in the lives of children that come into their homes. This role is oftentimes accompanied by high demands, low autonomy, and low support. It is imperative to correct this pattern as it can result in adverse psychological effects and negative impacts on mental health, leading to foster parents exiting the system in high volumes. This study used a qualitative approach to address the research question. The Job Demand-Control-Support (JDCS) model was applied to this research and used as a guide in providing a deeper analysis of the inner workings of the foster care system as it pertains to foster parents. A purposeful and snowball sample of 20 Ohio foster parents participated in open-ended Zoom and telephone interviews. They provided in-depth responses on their experiences within the foster care system. The interviews were transcribed, coded, and analyzed for major themes. ATLAS.ti Cloud software was used for coding analysis of the collected data. Four major themes and nine sub-themes resulted from the interviews. The findings contributed to research by providing future foster parents and leadership within the foster care system with meaningful strategies to improve foster parent retention rates in Ohio
Students and Instructor in Drafting Class, undated
This photograph features students and an instructor (standing) in a classroom.https://fuse.franklin.edu/ymca/1009/thumbnail.jp
The Impact of Human and Machine Adjuncts on Reshaping Higher Education Institutions in the Education 4.0 Era
Machine learning incorporating academic scholarship directly impacts tenured faculty, traditionally regarded as the authority on instructional quality and student learning. Dependence on Artificial Intelligence (AI)-generated tools such as Intelligent Tutoring Systems to share existing knowledge will lead Higher Education Institutions (HEIs) to become further dependent on both human and machine adjuncts. The utilization of the external desk research method explored (a) how the increasing use of human and machine adjuncts will change the current HEI model, (b) how economic trends in HEIs support the automation of instructional delivery, and (c) how Intelligent Tutoring Systems will replace human instruction. It is argued that in the Education 4.0 era, AI-generated machine adjuncts will work in partnership with human adjuncts, necessitating whole-system reform focused on the HEI personnel structure, specifically tenured faculty
Aerial View of Frasch Hall, undated
This photograph features an aerial photograph of Frasch Hall.https://fuse.franklin.edu/fraschhall/1007/thumbnail.jp
Coeds Attend Every Game, undated
This photograph features two women, one with a dog on her lap, sitting in lawn chairs watching a football game. Description on photograph states These two lovely Franklin coeds attend every game, (So does their dog,). The woman on the left is identified at Tracy and the woman on the right as Kim.https://fuse.franklin.edu/athletics/1038/thumbnail.jp
Ken Frash, undated
This photograph features Franklin University baseball player Ken Frash.https://fuse.franklin.edu/athletics/1059/thumbnail.jp
Frank Sliva, undated
This photograph features Franklin University baseball player Frank Sliva.https://fuse.franklin.edu/athletics/1055/thumbnail.jp
Nurses’ Burnout Post COVID: A Quantitative Study
The mental, emotional, and physiological health of healthcare professionals deteriorated during the COVID-19 pandemic and professionals reported experiencing symptoms of depression, anxiety, and posttraumatic stress. The researcher conducted a quantitative research study that focused on measuring burnout in nursing professionals working in an emergency department (ED) and intensive care unit (ICU) post COVID-19 pandemic. A casual comparable study using a cross-sectional survey design was used to gather the research data. Furthermore, the Maslach Burnout Scale has been described as the gold standard for measuring burnout and was used to collect current data. The research was aimed at determining which group of nursing professionals were at higher risk for experiencing burnout and if stress management techniques were associated with burnout levels. The goal of this study was to identify the current state of nursing professionals’ mental health years after the onset of COVID-19. In addition, evaluate burnout differences amongst the nursing groups. The study also identified associations between nursing professional’s burnout and their participation in stress management techniques. The researcher believed the study would make known that nurses working in the ED experienced higher levels of burnout than nurses working in the ICU. This study aimed to provide current and relevant information regarding nurse’s burnout to healthcare organizations and leaders with hopes of producing a plan for creating a healthier work lifestyle for professionals