Research
Distressed: An Assessment of Emotional State of Young Adults during a COVID Wave
The COVID-19 pandemic has resulted in a heavy toll on public health. The adverse health outcomes have affected the public physically, mentally and emotionally. Waves during the pandemic have resulted in lockdowns that limited people’s ability to interact socially. Due to the novel nature of the disruptions the emotional effects of COVID related lock downs have not been adequately studied. This study assessed the effects of the Jan-Feb 2022 COVID wave related lockdown on young adults aged 18 to 25 in the 11 counties that form the Detroit Metro area in the State of Michigan in the United States of America.
Application of Value Stream Mapping to Eliminate Waste in an Emergency Room
Value Stream Mapping (VSM) is a lean/quality management tool which assists in establishing the current state of a process while aiding to uncover opportunities for improvement vis-à -vis the seven sources of waste. This research effort involves a review of existing literature pertaining to application of the VSM tool in hospital emergency rooms/departments. The paper will present the potential benefits emanating from application of VSM along with assessing its effectiveness in scenarios where it has been implemented already. Furthermore, challenges faced in implementation of the VSM tools are collated. Various solutions to address these challenges have been presented in the light of tribulations faced by today’s healthcare industry.
Technological Innovation and Public Health: A Descriptive Exploratory Investigation of Relationship between Technological Innovation Indicators and Public Health Indicators in the United States from 2
Technological innovation and public health are vital for prosperity. This study quantitatively explored and described the relationship between these constructs. Indicators representing technological innovation and public health were identified. Data associated with the indicators were collected from various U.S. federal governmental sources for the four U.S. Census regions. The four U.S. Census regions were then compared in terms of the indicators. Power law regression equations were developed for each combination of technological innovation and public health indicators. Additionally, the relationship between technological innovation and public health was described using the structural equation modeling - SEM - technique. It was found that the four regions ranked differently in terms of both technological innovation indicators and public health indicators. The results of the study showed that better technological innovation indictor scores were associated with better public health indicator scores. Results of the SEM provided preliminary evidence that technological innovation shares causal relation with public health.
