
The impact of COVID-19 on relative health outcomes among healthcare workers in Canada
Author(s) -
Raaj Tiagi
Publication year - 2022
Publication title -
healthcare management forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 16
eISSN - 2352-3883
pISSN - 0840-4704
DOI - 10.1177/08404704221112288
Subject(s) - multinomial logistic regression , covid-19 , mental health , pandemic , anxiety , logistic regression , mental healthcare , health care , psychology , medicine , psychiatry , disease , political science , computer science , pathology , virology , outbreak , law , infectious disease (medical specialty) , machine learning
Although the COVID-19 pandemic increased stress and anxiety for most people, frontline workers have been particularly vulnerable. This article focuses on doctors and nurses and analyzes their perceived mental and life stress relative to allied healthcare workers. The study uses data from Statistics Canada's crowdsource initiative, analyzed within a multinomial logistic regression framework. Results point to increased stress among these workers. More specifically, results suggest that compared with pre-COVID-19, mental stress increased for doctors. In contrast, although mental stress did not increase for nurses, it remained poor, similar to that experienced pre-COVID-19.