Mental Health Outcomes and Sleep Status among Patients with Coronavirus Disease 2019.

Objective: The immediate impacts of coronavirus disease 2019 (COVID-19) on mental health of affected patients and psychiatric morbidities of these patients has been neglected by researchers. We assessed mental health outcomes and sleep status among inpatients and outpatients with COVID-19 who were initially referred to our COVID-19 clinic in Mashhad, Iran during April-October 2020. Method : In this ethically approved cross-sectional study, 130 patients with confirmed COVID-19 who were referred to outpatient clinics and wards of a referral hospital in Mashhad, Iran were surveyed during April-October 2020. Demographic data were collected after obtaining informed written consent. Validated Persian versions of insomnia severity index (ISI), 9-item patient health questionnaire (PHQ-9), and 7-item generalized anxiety disorder (GAD-7) and revised impact of event scale (IES-R) were used as main outcome measures (i.e. status of anxiety, depression, insomnia, and event-related distress). Analysis was performed with SPSS using binary logistic regression. P-values < 0.05 were considered significant. Results: Overall, 65 inpatients and 65 outpatients were surveyed. The two groups did not significantly defer in terms of insomnia and depression severity, but the outpatients showed higher levels of anxiety (52.3% vs. 24.6%, P = 0.005) and distress compared to inpatients (80.0% vs. 64.6%, P < 0.001). Male sex (OR = 0.017, 95%CI = 0.000-0.708, P = 0.032) exhibited independent and inverse association with depression in COVID-19 patients. Being married (OR = 0.102, 95% CI = 0.018-0.567, P = 0.009) was independently and inversely associated with anxiety. Insomnia was independently associated with event-related distress (OR = 7.286, 95%CI = 2.017-26.321, P = 0.002). Only depression was independently associated with insomnia (OR = 49.655, 95%CI = 2.870-859.127, P = 0.007). Conclusion: We found symptoms of psychological distress and anxiety to be more prevalent among outpatients with COVD-19 than inpatients. Insomnia can be a potential risk factor for adverse mental health outcomes in these patients.

Working in hospitals during a pandemic: investigating the resilience among medical staff during COVID-19 outbreak through qualitative and quantitative research.

BACKGROUND: Medical staff in hospitals were faced with great stress as a result of COVID-19's sudden and severe occurrence, which makes investigating their resilience essential. AIMS AND METHODS: Using qualitative and quantitative research methods, this research studied medical staff (n = 403) working in a hospital during the COVID-19 pandemic and followed four main goals: First was evaluating the psychometric properties of the Persian version of Adult Resilience Measure-Revised (ARM-R). The second goal was investigating the personal, relational, social, and organizational issues facing the medical staff during the COVID-19 using semi-structural interviews. The third goal was to determine predictive effects of demographic and work-related variables on resilience using stepwise regression analysis. And the fourth was comparing resilience of three groups of the medical staff (coronavirus group consisted of the medical staff in direct contact with COVID-19 patients; emergency group who work in the emergency department who deal with both COVID and non-COVID patients; and non-coronavirus group who had no contact with COVID-19 patients) using one-way ANOVA. FINDINGS: Results showed that internal reliability/consistency, content, and face validity of the Persian version of the ARM-R are acceptable. The construct validity of the test was also verified using exploratory factor analysis and indicated the two factors of personal and relational resilience. The content of the interviews was analyzed using manifest content analysis, and the results were divided into 27 subcategories and 3 main categories including personal, organizational, and family categories. Moreover, regression analysis revealed that the marital status and age of children can explain resilience variance in some medical staff groups. The results of ANOVA and post hoc test also showed that the total resilience of the non-coronavirus group was greater than the coronavirus and emergency groups; the relational resilience of the coronavirus and non-coronavirus groups was greater than the emergency, and non-coronavirus group's personal resilience was greater than the emergency group.

Cognitive function, depression, and quality of life in patients with ruptured cerebral aneurysms.

Background: Neuropsychiatric dysfunction is one of the most common complications after aneurysmal subarachnoid hemorrhage (aSAH). The aim of this study was to evaluate cognitive function, depression, and quality of life (QOL) in patients with aSAH. Methods: In this study, we prospectively enrolled patients with SAH due to rupture of anterior circulation aneurysms who referred to Ghaem hospital, Mashhad, Iran, and who had good function outcome [modified Rankin scale (mRS) > 2]. They underwent microsurgery or endovascular treatment. Cognitive function, depression, and QOL were evaluated 6 months after surgery with standard psychiatric examinations, including Mini-Mental State Examination (MMSE) for cognitive function, Hospital Anxiety and Depression Scale (HADS) for depression, and 36-Item Short Form Health Survey (SF-36) for QOL. Risk factors for cognitive dysfunction were assessed. Results: Fifty-three patients were entered the study. The mean of age was 50.9 ± 13.6 years. QOL and its components were affected in most patients. Fifty-five percent of patients suffered from depression. Cognitive impairment was found in 57% of patients. Older patients experienced more cognitive impairment (P < 0.001). Conclusion: Neuropsychological sequels are common in patients with aSAH, even if they classified as good functional outcome (mRS > 2). These complications could be found with appropriate neuropsychological evaluation of these patients to be managed as soon as possible.