Suchergebnisse

Intro -- Preface -- Industrializing Innovation -- An Innovation Logjam? -- What Differentiates This Book -- Who This Book Is For -- Expert Case Studies to Enrich the Content -- Go with the Flow: Reading Tips -- The Next Industrial Revolution: The Time Is Now -- Acknowledgments -- Contents -- Part I: The Innovation Logjam -- Chapter 1: Introduction -- An Era of Massive Economic Expansion -- The Innovation Logjam -- The Paradox of Industrializing Innovation -- Part I - The Innovation Logjam -- Part II - Industrializing Innovation -- Part III - Innovation Is Universal - Scaling Innovation Globally -- Innovation Is Humanity's Constant Companion -- Clearing the Innovation Logjam -- Chapter 2: University Research and Development -- An Unbalanced Equation -- Metrics Drives Behavior -- The Case of Existing Cross-Aligned Metrics for Innovation -- Startups from Research in US Universities -- Data Highlights and Insights -- Chapter 3: Large Corporations Are Innovation Challenged -- A Humble Problem -- Everyone Loves Innovation, So Why Aren't We Better at it? -- Risk - No One Ever Got Fired for Saying No to an Idea -- Fear - Most Possible Outcomes Are Disasters -- Disruption - Barriers to Entry Seem Higher than They Really Are -- Friction - No Plan Survives Contact with the Enemy -- Innovation and Cost Containment -- The Build Vs. Buy Question -- Building an Innovation Ecosystem has Proven Difficult -- Centers of Excellence in Innovation -- Buy Me a Future -- Some Companies Succeed -- Chapter 4: Venture Capital -- Venture Capital is Oxygen for Innovation but the Air Can Get Thin -- Finding Greatness -- The Role of Venture Capitalists in a Startup -- Venture Capitalists Hedge Their Investment Risk Across All Investments -- Investment Metrics are Not Aligned for a Majority of Innovative Startups -- The Painful Shortage of Operating Experience.

BACKGROUND: Simulation and skill development facilities are essential for the training and preparation of nursing students, which aids in their clinical readiness and professional development. The aim of the study was to assess simulation and skill training facilities, their utility in selected nursing institutes at Uttarakhand. MATERIALS AND METHODS: This descriptive cross-sectional study was conducted in conveniently selected 16 nursing institutes at Uttarakhand (India). Data were collected from Nov. to Dec. 2019, through a face-to-face interview using a validated self-structured questionnaire. Descriptive and inferential statistics were used to analyze the data. RESULTS: There were 16 institutes from four districts that participated in the study. Of these, five (31%) were government, and 11 (69%) were private. All nursing institutes (100%) had a nursing foundation lab, midwifery, and child health nursing lab, while only 44% of institutes had a medical surgical nursing skill lab. Among skill development facilities, the overall average number [mean (SD)] of mannequins was 3.90 (7.10); and high-fidelity simulators were 2.47 (7.1). In private institutes, the average period [mean (SD)] of laboratory usage was significantly higher than in government institutes [35.82 (6.57) vs 27.40 (5.22); p = 0.025]. The duration of lab usages was significantly associated with the age of the institute (p = 0.04). CONCLUSIONS: This study found inadequate simulation and skills training facilities and less utilization of those facilities. There is a great need to find out the key issues that lead to the unavailability and limited use of the required nursing skill development facilities.

BACKGROUND: During this pandemic everyone is facing the wrath of this novel coronavirus but nurses who are meticulously working in closed contact with diseased are at more risk for developing anxiety, depression and compromised quality of life. This study was conducted with an intent to identify anxiety, depression and quality of life and its predictors among nurses who are actively involved in caring of COVID-19 patients. METHODS: A cross-sectional online survey was carried out among nurses who were actively involved in COVID-19 duties at government tertiary health care institutes of India and data was collection through convenience sampling. Standardized tools (HADS, WHOQOL-BREF) were preferred for the assessment of participants' anxiety, depression and quality of life. Multivariate regression analysis was used to identify predictors for anxiety and depression. RESULTS: Of 354 nurses, 12.1% were suffering from anxiety while 14.7% had depression. Mean score for physical, psychological, social and environmental domains were 14.75 ± 1.86, 14.92 ± 2.46, 15.21 ± 3.01, and 14.48 ± 2.38 respectively. Nurses' education was a significant predictor for anxiety (odds ratio [OR] = -0.262, 95% CI: -0.510- -0.014, and P value = 0.038). Similarly for depression, designation of nurses acts as a contributing factor (odds ratio [OR] = 0.287, 95% CI: 0.016- 0.557, and P value = 0.038). CONCLUSION: Nurses are providing their services beyond boundaries so that we can overcome with hard time of COVID-19 pandemic. Although less but still nurses are suffering from anxiety and depression which need to be addressed to protect and enhance their mental well-being.