The Psychological Impact of Coronavirus Disease 2019 on Patients Attending a Tertiary Healthcare Facility in Pakistan: A Cross-Sectional Study.
Umar Abdul AliNadia IftikharHafsa Amat-Ur-RasoolMehboob AhmedJaveria HafeezWayne Grant CarterPublished in: Healthcare (Basel, Switzerland) (2022)
The COVID-19 pandemic has had a damaging impact on global health. Post-infection, patients may experience mental health difficulties and therefore require suitable psychological treatment and support. The objective of this study was to identify the psychological impact of COVID-19 on patients who were recovering from the physical effects of the disease, and to examine socio-demographic correlates within one month of treatment at a tertiary healthcare facility in Pakistan. A cross-sectional study was employed that utilized the Depression Anxiety Stress Scale-21 and Post-Traumatic Stress Disorder (PTSD) Checklist for DSM-5. A questionnaire was administered to 250 patients, with data collected over three months. Mild to extremely severe scores of depression, anxiety and stress were reported by approximately 43%, 52% and 42% of participants, respectively, and 8% developed PTSD. The incidence of depression, anxiety, stress or PTSD was not significantly associated with gender, age or previous interaction with COVID-19 patients. Depression was significantly associated with levels of education, severity of COVID-19 disease and a patient's current condition. Anxiety was associated with healthcare worker status. The severity of disease and a patient's current condition were also linked to the levels of anxiety, stress and the presence of PTSD. Collectively, these results indicate that a high percentage of patients recovering from COVID-19 experience psychological distress.
Keyphrases
- coronavirus disease
- sleep quality
- healthcare
- end stage renal disease
- mental health
- sars cov
- newly diagnosed
- depressive symptoms
- chronic kidney disease
- ejection fraction
- physical activity
- peritoneal dialysis
- public health
- social support
- prognostic factors
- posttraumatic stress disorder
- machine learning
- respiratory syndrome coronavirus
- electronic health record