Developing a Unique Model on Bed Per Doctor & Bed Per Nurse for Increased Patient Satisfaction in India Post Covid-19 Outbreak

Abstract

The Indian healthcare sector has gone through huge stress during the COVID-19 outbreak. The COVID-19 outbreak has shown that there is a huge need for a huge number of doctors, nurses, and paramedics, including beds in hospitals, during such a pandemic situation. Though the pandemic is slowly easing, the medical system in India still faces a lot of challenges. With a huge population, climatic conditions, and hygiene problems, India suffers from several vector-borne diseases like malaria, dengue, etc. As space is an issue in urban India and slums are prevalent in major cities, community-borne diseases transmit quickly, adding to the need for hospitalization. The number of hospitals in rural India is not as per requirement, and getting beds and proper healthcare services is a challenge. To add to all this, the cost of treatment is also high, though the central and state governments have several health insurance schemes for the benefit of the population. In this paper, 500 patients across 25 healthcare centers were questioned using a Likert scale to understand their satisfaction level with the prevalent medical system in India. Through factor analysis, the two important factors that played a major role in patient satisfaction (PS) were identified. Through a simple linear regression equation, two models were derived that would increase the PS. It may be noted that two parameters were analyzed in this paper, though there are several other factors that need to be investigated by other researchers.