Prevalence and predictors of post-traumatic stress disorder in patients with cured coronavirus disease 2019 (COVID-19) one month post-discharge

Abstract
Background: Coronavirus disease 2019 (COVID-19) can place an immense psychological strain on the infected patient. The psychological distress can linger after the initial recovery from the infection. Objective: This study aimed to evaluate the prevalence and predictors of provisional post-traumatic stress disorder (PTSD) in patients with cured COVID-2019. Methods: The baseline survey was conducted from 10 to 25 February 2020 in patients with COVID-19 in a designated hospital. Demographic and clinical characteristics were acquired, and depression and anxiety levels were assessed, using the 9-item Patient Health Questionnaire and 7-item Generalized Anxiety Disorder scale, respectively. A follow-up survey was conducted 1 month post-discharge. PTSD symptoms were measured by the Impact of Event Scale-6 (IES-6) and patients’ perception of supportive care during hospitalization was investigated using a self-developed questionnaire. Results: In total, 114 patients completed both the baseline and follow-up surveys. Of these, 41 (36.0%) met the cut-off score for provisional PTSD diagnosis according to the IES-6. Female gender [odds ratio (OR) = 4.69, 95% confidence interval (CI) 1.54–14.37], educational level of high school or below (OR = 15.49, 95% CI 1.13–212.71), higher anxiety levels (OR = 1.34, 95% CI 1.12–1.61) and lower perceptions of emotional support during hospitalization (OR = 0.41, 95% CI 0.17–0.96) predicted a higher risk for provisional PTSD. Conclusions: PTSD is commonly seen in patients with COVID-19 1 month post-discharge. Female patients, and patients with lower educational levels, higher anxiety levels and lower perceptions of emotional support during hospitalization may be more likely to develop PTSD in the near future. Enhancing emotional support during hospitalization could help to prevent PTSD in patients with COVID-19.
Funding Information
  • Hunan Provincial Department of Science and Technology (2020SK3014])
  • Defense Innovative Special Region Program (17-163-12-ZT-001-041-01])
  • Changsha Department of Science and Technology (kq2001005])
  • National Natural Science Foundation of China (81671353])
  • National Key Research and Development Program of China (2019YFA0706200])

This publication has 45 references indexed in Scilit: