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Background: The outbreak of coronavirus disease 2019 (COVID-19) has caused stress and anxiety for various parts of society all over the world. This concern and stress are not limited to being affected by COVID-19 because this condition has also caused changes in people's lifestyles. Objective(s): The purpose of this study was to design and evaluate the validity and reliability of the COVID-19-related stressors questionnaire and determine the contribution of each of the stressors to the prediction of mental health in the Iranian population. Method(s): This descriptive-analytical and correlational study was performed on 301 volunteers living in Tehran, Iran. Due to the prevalence of COVID-19, questionnaires were distributed by convenience sampling method and online conduction. The instruments used in the present study were the researcher-made questionnaire on Iranians' COVID-19-related stressors (ICRS) and the mental health questionnaire general health questionnaire (GHQ-12). Content validity (qualitative and quantitative), face validity, structural validity (exploratory factor analysis), Cronbach's alpha, and logistic regression were used to analyze the data. Statistical analysis was performed by SPSS version 24 and AMOS24 software. Result(s): In exploratory factor analysis, the final 25 items were obtained in seven factors with an explanation of 66.25% variance. The results of logistic regression analysis showed that worrying about changing economic status, getting COVID-19 and change in lifestyle increased the chance of developing mental health disorder up to 1.29 (OR = 1.29), 1.28 (OR = 1.28), and 1.18 times (OR = 1.18), respectively. The variable of changing family interactions reduces the chance of developing a mental health disorder by 0.85 times (OR = 0.85). Conclusion(s): The COVID-19-related stressors questionnaire is valid and can be used in future research. Identifying the most im-portant stressors associated with the COVID-19 pandemic and determining each contribution to mental health prediction will help health policymakers to make better decisions.Copyright © 2023, Author(s).
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Background: The COVID-19 pandemic has had unpleasant consequences for health care providers, including medical stagers and intern students;due to the importance of this issue, this study was conducted to evaluate anxiety, resilience and burnout. Methods: This cross-sectional analytical study was performed on stager and intern medical students of Guilan University of Medical Sciences in Rasht, Iran. Data were collected using a list containing Student Demographic Information, Maslach Burnout Inventory-Student Survey (MBISS), Academic Resilience Inventory (ARI) and Corona Disease Anxiety Scale (CDAS). Data analysis was performed using SPSS v.19 at the level of significance 0.05. Results: High levels of burnout and anxiety were calculated to be 21.1 and 7%, respectively. Burnout score was higher in people with grade point average less than 17 (p=0.014);burnout score was also higher in males (p=0.009). Other results showed that COVID-19 anxiety score was significantly higher in females (p=0.029). The results of multivariate linear regression indicated that the variables including academic resilience (β=0.330) and COVID-19 anxiety (β=0.218) significantly explain 20% of the variance of burnout in students. Also, with the introduction of demographic variables, it was increased to 31% in which the share of gender variable (β=0.283) was significant in this model. Conclusion: Academic resilience, anxiety and gender had an effective role on the rate of student burnout. Accordingly, it is suggested that health care providers and psychologists pay attention to student empowerment by providing appropriate therapeutic interventions during and after the COVID-19 epidemic. © 2022 Seventh Sense Research Group®
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The aim of this study was to evaluate the burnout, anxiety, and professional self-concept of nurses according to their demographic and occupational information. 160 nurses from Razi and Poursina hospitals in Iran were selected as a sample in this cross-sectional online survey and answered the tools Demographic and Occupational Information Questionnaire (DOIQ), Maslach Burnout Inventory-Human Services Survey (MBI-HSS), Corona Disease Anxiety Scale (CDAS) and Nurse Self-Concept Questionnaire (NSCQ). Data analysis was performed in two descriptive and inferential sections using SPSS-19 statistics software. The participation rate in this study was 87.5% (n=140). The mean age was 32.56 (SD=7.26) years. The burnout rate in emotional exhaustion (EE) was 24.3%, depersonalization (DP) was 32.1%, and personal accomplishment (PA) was 60.7%, 21.4% of nurses had high anxiety, and 53.6% had low NSCQ. EE score was higher in nurses with less than ten years of experience (t=2.21) and single people (t=-3.18). DP score was higher in people under 35 years (t=3.20), with work experience of fewer than ten years (t=4.34), and single people (t=-3.07). Females in PA reported more burnout (t=-2.43). CDAS score was higher in females (t=3.20). NSCQ score was higher in married people (t=-3.07). CDAS was positively correlated with EE and DP and negatively correlated with PA. NSCQ was negatively correlated with EE and DP and positively correlated with PA. At first, a high CDAS score and then celibacy, less than ten years of work experience, and a low NSCQ score were effective in multiple linear regression analysis for MBI-HSS. Copyright © 2022 Tehran University of Medical Sciences. All rights reserved.
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Objectives: A scoping review was conducted to examine the breadth of evidence related to telehealth innovations being utilized in the treatment of Opioid Use Disorder (OUD) with buprenorphine and its effect on patient outcomes and healthcare delivery. Background(s): With the opioid epidemic worsening from year to year, there is a critical need to connect with this growing population and get them access to life-saving interventions. Buprenorphine is shown to be associated with lower overdose rates and a decrease in opioid-related acute care, but has historically been underutilized in treatment for OUD. Previous studies have determined that geographical barriers and lack of access to DEA-waivered providers are common obstacles towards starting MAT. Telehealth presents itself as a solution to this discrepancy and is becoming more feasible to integrate into clinical practice. Method(s): The authors systematically searched seven databases and websites for peer-reviewed and gray literature related to telehealth solutions for buprenorphine treatment published between 2008 and March 18, 2021. There were 69 articles which met inclusion criteria. Result(s): According to the reviewed literature, incorporation of telehealth technology with Medication Assisted Treatment (MAT) for OUD is associated with higher patient satisfaction, comparable rates of retention, and an overall reduction in health care costs. Conclusion(s): Utilization of synchronous videoconferencing has reportedly been effective in increasing access to and usage of buprenorphine by overcoming both geographical and logistical barriers. This has been made possible through the expansion of telehealth technologies and a substantial push towards relaxed federal guidelines, both of which were quickly escalated in response to the COVID-19 pandemic. Future research is needed to fully quantify the effect of these factors;however, the results appear promising thus far and should urge policymakers to consider making these temporary policy changes permanent. (Figure Presented) .
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Introduction: Evaluation of health care workers' mental status is critical in the trend of covid-19 pandemic;because it helps to investigate their real needs and expectations and helps them to present useful services. This study aimed to the prediction of possibility of developing post-traumatic stress disorder (PTSD) based on demographic variables, levels of exposure to Covid-19, the anxiety of Covid-19, and dimensions of sleep quality in health care workers. Methods: A descriptive correlational study was conducted on a sample of 180 health care workers (129 females and 51 males). The researcher-made demographic questionnaire, Pittsburgh Sleep Quality Index, Post Traumatic Stress Disorder, Checklist and Covid-19 Anxiety Scale were recorded. A convenience sampling method was applied, and data was collected through the Google form platform. Data analysis was performed in SPSS version 24 software by using one-way analysis of variance (ANOVA), Scheffe Post Hoc test, independent samples t-test, Pearson correlation, and binary logistic regression. Results: The results indicated that 51.7% of health care workers showed severe symptoms of post-traumatic stress (pcl-5> 33). The severity of PTSD symptoms varied in different work shifts and levels of education. The morning shifts and master's degrees had the lowest mean scores of PTSD symptoms. There was a significant positive correlation between PTSD symptoms and Covid-19 anxiety and between PTSD symptoms and all dimensions of sleep quality (p <0.05). The Enter logistic regression analysis results showed that sleep medication use (OR = 3.21) and covid-19 anxiety (OR = 1.13) were risk factors that predicted the severity of PTSD symptoms (percentage correct = 85.5%). Conclusion: It is suggested extensive attempts have been made to PTSD symptoms screening. Also, informing the health care workers about methods to reduce anxiety is helpful, and it is proposed to administer online workshops to train and increase sleep hygiene.
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Background: COVID-19 is a new disease for which a definitive treatment has not yet been proposed. Objectives: The present study aimed to investigate the effect of combination therapy on the treatment of COVID-19 due to the importance of finding an appropriate treatment for this epidemic disease.
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Background and Aim: Military personnel is one of the levels of society whose psychological assessment is important in the current situation. During the prevalence of COVID-19, the military is also alongside health defenders has fought the virus, therefore, awareness of the mental state of the military forces has led to the recognition of their real needs, and helps planners to increase the optimal performance of military personnel. Therefore, the present study aimed to investigate and compare the state of mental health and sleep quality between military and civilian personnel during the outbreak of COVID-19.
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From February 24, 2020, to April 2, 2020, this study presents a preliminary report on the chest computed tomography (CT) findings of COVID-19 pneumonia at Baqiyatallah Hospital, Tehran, Iran. This study performed on 70 patients with a final diagnosis of COVID-19.