Volume 7, Issue 1
A Shared Information Technology-Business-Health Model: Lessons for Healthcare Leaders on Integrating Technology from Investment
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Objective: Technology is rapidly shifting our day-to-day existence, education, social relationships, health care and business. Psychiatric leaders have slowly explored telepsychiatric services – but few have an approach to technology in general–due to
competing clinical, educational and research demands. Technology has typically been added on, rather than integrated, to institutional functions.
Method: This narrative review used a literature search of Medline, PsycNET, PsycINFO, Embase, Cochrane, SpringerLink, Scopus, ABI/Inform, Business Source Complete, and Web of Science, using subject headings and keywords along with a manual search of reference lists of articles published by November 2020. The keywords explored four areas: 1) business; 2) service delivery; 3) system change; and 4) technology. Articles were reviewed by title/abstract, full text review and review of references. They were included if they discussed integration of technology into health care and compared literature from medicine/health, psychiatry/behavioral health, business, technology, leadership and health care administration. The goal was to explore how medicine/psychiatry has integrated technology compared to business, and apply business approaches to health care and training.
Results: From a total of 2,710 potential references, two authors found 327 eligible for full text review and found 69 papers directly relevant to the concepts. Business and medicine/psychiatry have similarities/differences from both historical and contemporary views. Many health care systems and companies lack a strategic plan for technology and focus only on short-term due to administrative demands. Clinical informatics is a rapidly expanding area and would be central to this process. It has started to facilitate patient-centered care as defined by quality, affordable, and timely health care. While in principle information systems use integrative approaches, electronic health records, electronic means of communications with patients and staff, behavioral health indicators and related digital advances are often added to existing systems rather than integrated. Effective businesses use integrative approaches to share domain knowledge and streamline practices to link information technology (IT) with research and development, production, financing and marketing management. A case example highlights the IT strategy and business leaders’ comments in shifting to straight through processing (STP) from the banking industry for investments. It also exemplifies a model of shared IT-business understanding, which improves performance via efficiency, quality of data/information processing/integration and managerial teamwork.
Conclusion: When it is integrated into health care service delivery workflow, evaluated and quality improved, IT facilitates the translation of strategic planning into organizational change. Incremental versus strategically innovative approaches to technological integration for care, education and administration are considered. Successful implementation requires a needs and impact assessment for patients, staff, clinicians and leaders across all levels of the organization. Benefits to the mission, limited disruptions of core operational workflow and reasonable costs reduce the likelihood of failure.
Health care; Business; Information technology; Shared; Leadership; Understanding; Straight through processing.
My 84-Year-Old Mother Lost Her Wedding Ring?
Psychological Effects of Coronavirus Disease 2019 on Students
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This qualitative study investigated the psychological effects on 21 U.S. high school students during the coronavirus disease 2019 (COVID-19) pandemic.
The study aimed to identify and assess the pandemic’s effect on the mental health of these students.
To determine the stress and anxiety students faced during the pandemic, an online survey used five open-ended questions that focused on awareness of the pandemic surrounding the major themes of insight, stress, anxiety, social support, and adapted coping strategies. NVivo software analyzed the raw data. Colaizzi’s descriptive phenomenological analysis method converted the quantitative results into a visual/verbal form. Based on the analysis, the researcher identified the pandemic’s effects on students’ mental health and well-being.
All 21 participants responded to each of the five questions. Of the participants, 72% demonstrated a negative outlook on their future. Seventy percent (70%) of the participants felt that COVID-19 hurt their social life because of safety precautions, such has social distancing. Even though schools and their faculty tried to keep students engaged and active, 64% of the participants found it challenging to be physically distanced from friends and teachers while learning from home. Of the students, 62% worried about missing out on sports and activities canceled due to the pandemic. 63.14% of the students felt the pandemic stressed
them to the point that fear and anxiety overwhelmed them with many questions about the future.
This study’s results may help create programs that better meet students’ mental and social needs.
COVID-19; Pandemic; High school; College students; Mental health; Stress; Anxiety; Coping strategies; Depression.
Relationship between Academic Stress and Emotional Intelligence in High School Students
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Academic stress is a mental distress originated from the anticipated frustration associated with academic failure. Whereas, emotional intelligence (EI) is a characteristic of an individual that determines the degree, and intensity with which they are able to understand and accept one’s own emotions as well as that of others.
Aim and Objective
The broad aim of the present study was to investigate an empirical-based examination of the relationship among academic stress and EI in high school students. The objectives of the study were to ascertain if there exist any gender, family structure and single child differences between academic stress and EI.
This study is based on a quantitative analysis of the data. To collect validated data, purposive sampling was taken from varied streams and family structure of the age group 16 to 18-years; with no gender disparity. Student Academic Stress Scale (SASS) and emotional intelligence test (EIT) were used in this research. The data obtained was further validated through statistical techniques of correlation and analysis of variance (ANOVA) methods.
The results showed an inverse correlation between EI and academic stress in high school students. The study also revealed single child and family structure factors are associated with the level of EI and showed an impact on academic stress of high school students.
Academic stress; Emotional intelligence; High school students; Family structure.
Feeling Angry at Coronavirus Disease 2019