Objective: The objective of this study was to find out interrelationship of economic burden and dependency profile of families with COVID-19 mortalities and to make related recommendations. Methods: A mixed method research was conducted to understand the interwoven mechanisms of COVID-19 mortalities for the study of variables including level of education, type of family, and economic burden to guide and direct public health strategies among research vulnerable groups of population in the present and in the future. Results: The dependency has been high in nuclear and joint family combined (160) as compared to three-generation family (21). The gender-wise distribution shows females having two children in family in higher numbers (46.0%) as compared to males in the same age group (35.5%). There is observed high number of COVID-19 mortalities among graduate and above (79) followed by literate up to higher secondary (60). Mean annual income has been highest in the COVID-19 mortalities for subgroup of a number of children being 4 (5.58%), followed by one child (3.79 lacs), no child (3.11 lacs), two children (2.95 lacs), three children (2.90 lacs), and five and more children (2.79 lacs). Conclusion: Although there is observed intergroup difference in the gender vulnerabilities and varying threshold of dependencies including social, demographic, economic, and developmental areas, there is an appreciable public health need to achieve social gains and avert possible disparities of existence through intersectoral and envisioned strategic reform-based initiatives leading to gainful coexistence of deprived with other social masses to achieve the set target of social developmental goals as per international health actions.
Background: The health care system could not cope up with upsurge of cases being reported. This enormous magnitude of patient load derailed functionality of hospitals and has put in public health challenges to prevent subsequent pandemics and ensure all time readiness of health care system. This study focused to understand the interactive phenomenon among demographic and economic profile of COVID-19 mortalities in a hospital setting of a tertiary health care facility.Methods: A cross sectional study was undertaken using retrospective data analysis and qualitative study through group discussions among clinical subject specialist of various streams to assess and arrive at a reasoned cause analysis targeted towards prospective technical gains for institutional, individual and facility-based strengthening.Results: The age group 31-70 years had highest COVID-19 deaths (80%) with 51-70 years representing very high deaths (46.9%). Least mortalities were noted among those with occupation of agriculture (7.1%). Zone wise distribution shows that the joint family of east zone showed highest percentage of COVID-19 mortalities among females (22.2%) whereas it was lower among males (10.1%) however in the same zone and in the type of family.Conclusions: The study concludes of felt need for elaborate preparedness of programmatic, managerial and implementer-based facility support to enable health care facility for minimizing and preferably zeroing mortalities due to ongoing or future pandemics. It shall surely provide the quantum and directionality to the needed efforts by all stakeholders at various levels of interventions for sustainable gains directed towards universal health care.
Introduction: Millions of lives have been impacted by coronavirus disease 2019 (COVID-19) infection worldwide. The world's health-care system is overburdened and, in some places, in disarray, which has an effect on medical workers' physical and psychological well-being. The psychological impact has more negative effects on people's general well-being. The goal of this review was to ascertain how the COVID-19 pandemic affected these populations' levels of stress, despair, and anxiety. Until March 2022, PubMed, Google Scholar, and journal online databases were searched for articles focusing on stress, anxiety, and depression in Indian health-care professionals. “Psychological distress,” “COVID-19,” and “Health professionals” were utilized as search phrases. The quantitative study was performed using R Software version 4.1.2. Using Cochran's Q test, the studies' heterogeneity (I 2) was evaluated. We found 12 studies in the search results. Stress prevalence as a whole was 0.2721 (95% confidence interval [CI] - 0.1336–0.4754). Depression had a combined prevalence of 0.3941 (95% CI - 0.2698–0.5338). Anxiety's pooled prevalence was 0.4158 (95% CI - 0.2790–0.5670). Young age and longer work hours were considered the main risk factors for psychological distress. The COVID-19 had a significant impact on India's medical sector. The critical goal is to recognize psychological issues at an early stage and to use the right technique and intervention to deal with them.
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