Background and Objectives: The novel and rapidly spreading nature of COVID-19 surpasses the capacity and capabilities of the healthcare system, necessitating comprehensive management. This study aims to explore the role and relationship of social determinants of health with the ultimate outcome of patients.
Methods: In this cross-sectional study, the information of COVID-19 patients within the coverage area of Mashhad University of Medical Sciences was examined from three sources (outpatient or inpatient) between March 2018 and March 2019, utilizing the census method. The logistic regression model was employed to assess the predictability of social determinants of health.
Results: Out of 182,602 patients, 100,407 (55%) were men, and 82,195 (45%) were women. Logistic regression analysis revealed that the odds of mortality due to corona infection increased by 1.075 (1.073-1.077) times for each year of age. Additionally, the odds were 2.37 (2.06-2.73) times higher in men compared to women and displayed an inverse relationship with educational level (PV<0.001). Job status did not demonstrate a significant effect. The presence of diabetes (OR=1.28, 95% CI: 1.19-1.38), underlying diseases (OR=1.16, 95% CI: 1.09-1.22), and immune system weakness (OR=7.94, 95% CI: 6.44-9.80) were associated with an increased likelihood of death. Conversely, pregnancy (OR=0.90, 95% CI: 0.57-1.42) and high blood pressure (OR=0.95, 95% CI: 0.89-1.02) exhibited no significant association.
Conclusion: Considering the relationship between social determinants of health and COVID-19 mortality, it is recommended that policymakers involve sectors outside the healthcare system in addressing health matters.
