Browsing by Author "Wason, Rhea"
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Item Lessons from the Pandemic and Healthcare Service Delivery for the Senior Citizens(Indian Medical Association, 2022-01) Wason, Rhea; Arora, S K; Goel, AshishBackground : The healthcare delivery system is an important indicator of the quality of life in a society. The advent of the Corona Virus pandemic led to an unfortunate and unforeseen disruption in the healthcare services Globally. The older persons were impacted on multiple counts including limitations in healthcare service availability, access and social marginalization. As we gain more insight into the full impact of the Pandemic on the health quality indicators and look to resume Medical service delivery in Postpandemic times, it’s important to ensure that the older population is not neglected. Discussions : Small transitions in the delivery models but larger modifications in the mind-set may be needed to provide continued, effective and seamless healthcare services to the older Indian population. Planned interventions at each level of the system can ensure a smooth transition into the modified systems. Integration of modern telecommunication technology into the medical practice and extensive research in the area can make telemedicine a more accessible and acceptable option to the elderly patients with chronic ailments. The full extent of the impact of the Pandemic on healthcare will be revealed in the coming times requiring constant adaptation of each element of the system to cope with it.Item Variation in COVID Mortality with Different Demographic Factors in Districts of India(Indian Medical Association, 2023-03) Goel, Ashish; Wason, Rhea; Gera, RaghavBackground : Descriptive data suggests significant disparity in the COVID-19 related deaths across different demographic zones. Several studies have examined these factors at the intra-country or intrastate level. Our study analyzed the data at a District level. Methods : This cross-sectional study analyzed the association between Socio-demographic factors and COVID19 Mortality at a District level using Univariate and Multivariate linear regression models. Data for sixty randomly selected Districts was collected and compiled from free sources available in the public domain. Linear regression models were built and factors that were found to be significant were used in the model. Results : Univariate analysis revealed that COVID Mortality has a positive correlation with the literacy rate and a negative correlation with the percentage Rural population of the District. No significant relation was found with primary Health Center accessibility, Sex Ratio and the percentage of chronic illness. On Multivariate analysis, it was negatively correlated to only the percentage of the Rural population. Conclusion and Relevance : Our study concluded that as the rural population increased in a district, COVID 19 mortality decreased. There was no significant association with other sociodemographic variables.