Monetary fine proceedings has been one of the methods of upholding professionalism amongst health care professionals. Professionalism as a concept is multifaceted and fragmented and it has become symbolic to the extent that, unfortunately, some traits of professionalism showcase the whole concept. It seems fair to interpret the symbolic views on the concept of professionalism as means to capitalize on certain aspects of professions such as commercial profitability for the employer and respected status for the profession. Evaluation of professionalism is often implicit and inadequate; and assessing professionalism by relying on abstract and idealized definitions implies that professionalism is a compounded composite of certain set of stable traits. We suggest to refer to the theory of values-based practice so as to achieve collocated views on professionalism among employers and health academics. Instead of capitalizing on certain traits of professionalism to project the whole concept of professionalism, we may need to relook at the traits of professionalism as values. It is extremely crucial to internalize the values of the health profession in the future health professionals, so that the future health professionals imbibe the professionalism through dialog and democratic methods of sharing values during the course of professional development.
Previous study reported that preadmission insulin treatment in patients with coronavirus disease 2019 (COVID-19) and concurrent diabetes was associated with a significantly increased odds of mortality. However, such association may be modified by possible baseline differences in glycemic control between insulin users and non-insulin users. Misinterpretation of the association between insulin treatment and mortality could lead to confusion in clinical practice and hospitalized patients with COVID-19 for whom insulin treatment is appropriately indicated may be omitted from such treatment. However, requirement for insulin during hospitalization for COVID-19 may be a marker of poor prognosis and as such could be used to identify patient population who require more aggressive treatments to prevent mortality.