Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation

Background Efforts to address infant mortality disparities in Ohio have historically been adversely affected by the lack of consistent data collection and infrastructure across the community-based organizations performing front-line work with expectant mothers, and there is no established template for implementing such systems in the context of diverse technological capacities and varying data collection magnitude among participating organizations. Methods Taking into account both the needs and limitations of participating community-based organizations, we created a data collection infrastructure that was refined by feedback from sponsors and the organizations to serve as both a solution to their existing needs and a template for future efforts in other settings. Results By standardizing the collected data elements across participating organizations, integration on a scale large enough to detect changes in a rare outcome such as infant mortality was made possible. Datasets generated through the use of the established infrastructure were robust enough to be matched with other records, such as Medicaid and birth records, to allow more extensive analysis. Conclusion While a consistent data collection infrastructure across multiple organizations does require buy-in at the organizational level, especially among participants with little to no existing data collection experience, an approach that relies on an understanding of existing barriers, iterative development, and feedback from sponsors and participants can lead to better coordination and sharing of information when addressing health concerns that individual organizations may struggle to quantify alone.

The COVID-2019 Pandemic as a Catalyst of the Potential Loss of Democratic Foundations of Society’s Social Life

The pandemic-2020 has come quite unexpectedly despite the repeated warnings from WHO. It turned out that the infection’s spread in all countries of the world and the new-how to resist it depends on the ability to mobilize national system of health protection. So, on the quality of the provided medical service, on the accessibility to all levels of the society and on the ability of countries’ governments to provide with proper regulation of social life self-isolation, on-line work and quarantine regimes became the most effective tools in the world. It demanded the appropriate control mostly based on new technological solutions. Remote work and the possibilities of modern technologies to track and identify people may get elaboration after the end of the pandemic-2020. There is a great possibility to lose a part of democratic freedom of society due to using new systems of social life control in order to increase countries functioning effectiveness as the main units of a polycentric model of the world order. It is emphasized that polycentrism should lead neither to the totalitarianism of power nor to the loss of democratization of social life. The government should promote this process by increasing the effectiveness of its activity not substituting it for total control based on ICT. Received: 15 July 2021 / Accepted: 12 October 2021 / Published: 5 November 2021

Sharing of Psychological Nursing Experience of Patients with COVID-19

The author nursed suspected and confirmed cases of COVID-19 imported from abroad in a mobile hospital. During the front-line work in the fight against the epidemic in 2020, emergency response measures and corresponding clinical nursing experience have been accumulated for public health emergencies. This article summarized and shared the psychological nursing of patients with COVID-19 during the work of the author.

Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: Planning and implementation

Background Efforts to address infant mortality disparities in Ohio have historically been adversely affected by the lack of consistent data collection and infrastructure across the community-based organizations performing front-line work with expectant mothers, and there is no established template for implementing such systems in the context of diverse technological capacities and varying data collection magnitude among participating organizations. Methods Taking into account both the needs and limitations of participating community-based organizations, we created a data collection infrastructure that was refined by feedback from sponsors and the organizations to serve as both a solution to their existing needs and a template for future efforts in other settings. Results By standardizing the collected data elements across participating organizations, integration on a scale large enough to detect changes in a rare outcome such as infant mortality was made possible. Datasets generated through the use of the established infrastructure were robust enough to be matched with other records, such as Medicaid and birth records, to allow more extensive analysis. Conclusion While a consistent data collection infrastructure across multiple organizations does require buy-in at the organizational level, especially among participants with little to no existing data collection experience, an approach that relies on an understanding of existing barriers, iterative development, and feedback from sponsors and participants can lead to better coordination and sharing of information when addressing health concerns that individual organizations may struggle to quantify alone.

FACTORS ASSOCIATED WITH PSYCHOLOGICAL OUTCOMES OF HEALTHCARE WORKERS DURING THE COVID-19 PANDEMIC AND ITS EFFECTS ON QUALITY OF LIFE

Purpose: This study aimed at assessing the factors associated with psychological outcomes among HCWs in Saudi Arabia (SA) during the pandemic. It also aims to determine the factors affecting their QoL. Methodology: In this descriptive cross-sectional study, all HCWs who are working in direct and indirect contact with COVID-19 cases in tertiary hospitals of SA were invited voluntarily to complete the validated web-based survey during the study period. A total of 1,182 HCWs from different regions across SA and different specialties including physicians, nurses, pharmacists, health educators, technicians, and others responded to this study between the 1st of June and the 31st of July 2020. Psychological risk factors were evaluated using Patient Health Questionnaire depression scale; and the Generalized Anxiety Disorder (GAD-7) anxiety scale. QoL was assessed using the World Health Organization Quality of Life Questionnaire (WHOQOL). Socio-demographic data were summarized with frequency and percentages. The overall anxiety, depression, WHOQOL scores of the study participants were calculated according to mean value, SD, and median. The association between socio-demographic factors and anxiety, depression scales were examined using independent samples t-tests, one-way ANOVA, and the chi-square test (for categorical depression/ anxiety variables severe depression/severe anxiety against mild/moderate/moderately severe). While those factors and WHOQOL domains were examined using one-way ANOVA. Multivariate analysis was used to identify the front-line work predictors of depression and anxiety. Findings: Poor QoL scores were observed, especially in the physical and psychological health domains. In general, low QoL was significantly higher among workers who reported higher levels of anxiety and depression. The observed factors affecting the psychological health and QoL were age, gender, living with children and/or older people, occupation, years of experience, participation in front-line work. Unique contribution to theory, practice and policy: Specific characteristics of HCWs may act as protective or risk factors with regard to depression, anxiety, and QoL. Targeted interventions could mitigate the negative effects of front-line work to maintain medical professionals’ optimal psychological and physical health .More research is needed to further determine how the COVID-19 pandemic and front-line work affect HCWs' mental and physical well-being

Hamming neural network application with FPGA device

The Hamming neural network is a kind of counterfeit neural system that substance of two kinds of layers (feed forward layers and repetitive layer). In this study, two pattern entries are utilization in the binary number. In the first layer, two nerves were utilization as the pure line work. In the subsequent layer, three nerves and a positive line work were utilization. The Hamming Neural system calculation was also implemented in three reproduction strategies (logical gate technique, programming program encryption strategy and momentary square chart technique). In this study in programming of VHDL and FPGA machine was utilization.

The value of occupational therapy intervention for the worker roles of forensic mental healthcare users in Cape Town, South Africa

BACKGROUND: There is a void in research that focuses on how OT programs facilitate self-esteem in forensic mental healthcare users’ return-to-work in the open labor market, particularly in South Africa. OBJECTIVE: To explore the experiences and perceptions of forensic mental healthcare users, transitioning from an OT program to the open labor market. METHODS: Five individuals, diagnosed with Schizophrenia, and two key informants participated in this study that was positioned in a qualitative paradigm, with an exploratory and descriptive design. Semi-structured interviews were used to collect data. RESULTS: Theme one reflects on the challenges experienced by forensic mental healthcare users, when returning to work. Theme two describes various OT programs, as well as how they facilitate the reintegration of forensic mental healthcare users into the worker role. Theme three describes the positive support for forensic mental healthcare users, in the mental healthcare setting, workplace, and the greater community. Theme four describes how participation in occupation installs hope in forensic mental healthcare users, reinforcing the value of work, while positively influencing the work identity. CONCLUSION: The results revealed that stigma, residual symptoms, relapse due to substance abuse/mental health, and the lack of family support, were not be conducive to work skills development. However, the support of family and friends, workplace occupational therapy support, assembly line work, and therapeutic groups in an OT program, ensured positive workplace reintegration.