Anxiety during the COVID-19 pandemic in hospital staff: systematic review plus meta-analysis.

BACKGROUND: This study was conducted to systematically review the existing literature examining the prevalence of anxiety among hospital staff and identifying the contributing factors to address the complications of this disorder and develop effective programmes for reducing the complications of this mental health problem. METHODS: We searched the electronic databases including PubMed, EMBASE, Scopus, Web of Science and Google Scholar from January 2020 to February 2021. To perform meta-analysis, the random effects model was used. To assess the statistical heterogeneity of the included studies, the I2 index was used, and 95% CI was estimated. Data analysis was performed by R software. RESULTS: In the final analysis, 46 articles with the total sample size of 61 551 hospital staff members were included. Accordingly, anxiety prevalence among healthcare workers (HCWs) was 26.1% (95% CI 19% to 34.6%). The prevalence rates of anxiety in health technicians and medical students were 39% (95% CI 13% to 73%) and 36% (95% CI 15% to 65%), respectively, indicating a much higher prevalence than other hospital staff members. Furthermore, a positive significant relationship between prevalence of anxiety among HCWs and their age was approved (p<0.001). The prevalence rate of anxiety was higher among women 37.7% (95% CI 25.4% to 51.8%) than men 27.2% (95% CI 18.2% to 38.6%). CONCLUSION: The findings show a moderately high prevalence rate of anxiety in hospital staff. Due to the high prevalence of this mental health problem in health technicians, medical students and frontline health workers, it is highly suggested that healthcare institutions offer mental health programmes for these working groups in order to appropriately manage anxiety during the COVID-19 pandemic.

Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model.

BACKGROUND: The importance of successful implementation of e-learning, especially since the emergence of the Covid-19 pandemic, has become increasingly apparent to universities. Thus, identifying the effective factors in adopting e-learning in the Covid-19 pandemic is crucial. This study was conducted to identify determining factors in adopting E-learning in healthcare. METHOD: This was a descriptive-analytical study in which 143 faculty members from Iran were randomly selected. The faculty members' intentions, concerning the adoption of e-learning, were assessed by the conceptual path model of integration of unified theory of acceptance and use of technology (UTAUT) and The Task-Technology Fit (TTF). RESULTS: The results showed that the combination of the two classical theories, UTAUT and TTF, was an appropriate model to explain faculty members' intention in adopting e-learning. Moreover, the findings showed that technology and task characteristics, task- technology fit, social influences, effort expectancy, performance expectancy and facilitating conditions had direct and significant effect on e-learning adoption. CONCLUSION: By presenting a conceptual path model to elucidate users' behavior in adopting e-learning, this study investigated and identified the key determining factors in adopting e-learning. The findings of the present study can contribute to the design and implementation of e-learning by practitioners, policy makers, and curriculum designers.

Corrigendum to "The global Prevalence of Depression among Health Workers during the COVID-19 pandemic: a Systematic review and Meta-analysis". [Journal of Affective Disorders Reports Volume 8, April 2022, 100326].

[This corrects the article DOI: 10.1016/j.jadr.2022.100326.].

The global png health workers during the COVID-19 pandemic: A systematic review and meta-analysis.

BACKGROUND: This study was designed to conduct a systematic review and meta-analysis of existing literature examining the prevalence of depression among hospital staff and the impact of various factors with a view to organize related programs for reducing the complications of this mental disorder. METHOD: A total of 24 studies were extracted from a literature search conducted through electronic databases including PubMed, EMBASE, Scopus, and Web of Science from January 2019 to February 2021. FINDINGS: Following the extraction of data, the total number of hospital staff was reported to be 42,010. Based on the results, depression prevalence among them was 26% (95% Cl, 0.18-0.35). Furthermore correlation coefficients revealed a significant relationship between the rate of depression and variables including type of career, age, and gender (P-value < 0.05). The highest and lowest prevalence of depressive disorder among hospital staff was in Africa 82% (95% Cl, 0.35-0.97) and Asia 19% (95% Cl, 0.11-0.29). CONCLUSION: Our findings affirmed that female workers who aged between 29 and 35 and worked as administrative and support staff in hospitals were among the population being at higher risk of developing mental health problems during the COVID-19 pandemic.

Development and evaluation of a teleoncology system for breast cancer during the COVID-19 pandemic.

Background: The present study describes the steps of developing a hybrid teleoncology system to provide treatment plans for breast cancer patients. Materials & methods: This research was conducted in four stages, including developing a proposal for experts, identifying and analyzing system requirements, designing a prototype and implementing and evaluating the final version of the hybrid teleoncology system. Results: The results of the usability evaluation showed that the users evaluated the system at a good level and, in practice, the implemented system was perceived to be useful by specialists in providing treatment plans for cancer patients. Conclusion: The hybrid teleoncology system is a practical alternative to traditional methods for providing treatment plans to breast cancer patients.

A systematic review of the prevalence of anxiety among the general population during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has had an adverse effect on the mental health of population worldwide. This study was conducted to systematically review the existing literature to identify the individuals at higher risk of anxiety with a view to provide targeted mental health services during this outbreak. METHODS: In this study, the studies focusing on anxiety prevalence among the general population during the COVID-19 pandemic were searched in the PubMed, EMBASE, Scopus, Web of Science (WoS) and Google Scholar from the beginning of Covid-19 pandemic to February 2021. RESULTS: 103 studies constituting 140732 people included in the review. The findings showed that anxiety prevalence was 27.3% (95% CI, 23.7%; 31.2%) among general population while the prevalence in COVID-19 patients was 39.6% (95% CI, 30.1%; 50.1%). Anxiety was significantly higher among females and older adults (p≤0.05). In addition Europe revealed the highest prevalence of anxiety 54.6% (95% CI, 42.5%; 66.2%) followed by America 31.5% (95% CI, 19%; 47.5%) and Asia 28.3% (95% CI, 20.3%; 38%). In the general population the highest prevalence of anxiety was in Africa 61.8% (95% CI, 57%-66.4%) followed by America 34.9% (95% CI, 27.7%-42.9%), Europe 30.7% (95% CI, 22.8%-40%) and Asia 24.5% (95% CI, 20.7%-28.9%). CONCLUSION: During the COVID-19 crisis, through identifying those who are more likely to be suffered from mental disorders at different layers of populations, it would be possible to apply appropriate supportive interventions with a view to provide targeted mental health services during the outbreak.