A cross sectional study on psychological impact of covid19 on post graduate doctors and Compulsory Rotatory Residential interns in COVID isolation ward of a tertiary care centre, Madurai

Sridevi, P.; Selvameena, M.; Priya, S; Saleem, M.; Saran, Ravneet

doi:10.1016/j.cegh.2021.100928

Cited by 6 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 1 shows the study characteristics of the included studies comprising study population, study setting, study tool, study period, sample size and number of depressed undergraduate students along with ROB [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38].…”

Section: Figure 1: Prisma Flow Diagram Showing the Study Selection Pr...mentioning

confidence: 99%

“…The prevalence of depression in the nineteen studies ranged from 16.0% to 100.0%. The pooled prevalence of nineteen studies, [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] 50.0% (95% CI: 31.0 to 70.0), was shown in Figure 2.…”

Section: The Pooled Prevalence Of Depressionmentioning

confidence: 99%

“…The nineteen included studies were analyzed for heterogeneity and publication bias [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]. High heterogeneity was found in the analysis with the Q test (p <0.001) and I 2 statistics (I 2 = 99.6%).…”

Section: Heterogeneity and Publication Biasmentioning

confidence: 99%

“…nineteen studies) on the pooled prevalence of depression has been analysed by excluding each study step by step using sensitivity analysis (Table 2). It showed that in eight studies, [21,23,[26][27][28][29]36,38] comparatively the prime determinants of the pooled prevalence of depression among undergraduate medical students and the major source of heterogeneity come from five studies [25,30,34,35,37].…”

Section: Sensitivity Analysismentioning

confidence: 99%

See 3 more Smart Citations

Prevalence of Depression Among Undergraduate Medical Students in India: A Systemic Review and Meta-Analysis

Dutta¹,

Rajendran²,

Kumar³

et al. 2023

Cureus

View full text Add to dashboard Cite

Background: Systematic reviews have proved that there is a high rate of depression among medical students when compared with their age-matched peers. Very few studies have evaluated the pooled prevalence of depression among medical students in India.Objectives: To determine the pooled prevalence of depression among medical students in India.Materials and methods: This review was done by searching databases like PubMed, Google Scholar, and Scopus for available original articles published between 2019 and 2022 on depression among Indian medical (MBBS) undergraduate students using PRISMA guidelines.Results: A total of 19 original research articles were included in this review, involving students at different medical colleges from various regions of India. The pooled prevalence of depression among 5944 medical students was 50.0% (95% CI: (31%-70%)) based on the random effect model. This meta-analysis also found that the pooled prevalence of depression among females (pooled prevalence: 38.0%, 95% CI: 20.0 to 58.0) was slightly higher than among males (pooled prevalence: 34.0%, 95% CI: 15.0 to 55.0). Conclusion:The high prevalence of depression among medical students demands regular screening for depression along with counselling services. It shows that there is a need to raise awareness among students and other stakeholders, such as parents and medical educators, concerning symptoms and signs of depression among medical students.

show abstract

Section: Figure 1: Prisma Flow Diagram Showing the Study Selection Pr...mentioning

confidence: 99%

Section: The Pooled Prevalence Of Depressionmentioning

confidence: 99%

Section: Heterogeneity and Publication Biasmentioning

confidence: 99%

Section: Sensitivity Analysismentioning

confidence: 99%

See 2 more Smart Citations

Prevalence of Depression Among Undergraduate Medical Students in India: A Systemic Review and Meta-Analysis

Dutta¹,

Rajendran²,

Kumar³

et al. 2023

Cureus

View full text Add to dashboard Cite

show abstract

“…Fluctuations of emotions [22] are often closely intertwined with mental issues. When physical surroundings around individuals differ, it also impacts their minds [23].…”

Section: Psychologicalmentioning

confidence: 99%

A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives

et al. 2022

View full text Add to dashboard Cite

A coronavirus outbreak caused by a novel virus known as SARS-CoV-2 originated towards the latter half of 2019. COVID-19’s abrupt emergence and unchecked global expansion highlight the inability of the current healthcare services to respond to public health emergencies promptly. This paper reviews the different aspects of human life comprehensively affected by COVID-19. It then discusses various tools and technologies from the leading domains and their integration into people’s lives to overcome issues resulting from pandemics. This paper further focuses on providing a detailed review of existing and probable Artificial Intelligence (AI), Internet of Things (IoT), Augmented Reality (AR), Virtual Reality (VR), and Blockchain-based solutions. The COVID-19 pandemic brings several challenges from the viewpoint of the nation’s healthcare, security, privacy, and economy. AI offers different predictive services and intelligent strategies for detecting coronavirus signs, promoting drug development, remote healthcare, classifying fake news detection, and security attacks. The incorporation of AI in the COVID-19 outbreak brings robust and reliable solutions to enhance the healthcare systems, increases user’s life expectancy, and boosts the nation’s economy. Furthermore, AR/VR helps in distance learning, factory automation, and setting up an environment of work from home. Blockchain helps in protecting consumer’s privacy, and securing the medical supply chain operations. IoT is helpful in remote patient monitoring, distant sanitising via drones, managing social distancing (using IoT cameras), and many more in combating the pandemic. This study covers an up-to-date analysis on the use of blockchain technology, AI, AR/VR, and IoT for combating COVID-19 pandemic considering various applications. These technologies provide new emerging initiatives and use cases to deal with the COVID-19 pandemic. Finally, we discuss challenges and potential research paths that will promote further research into future pandemic outbreaks.

show abstract

Mental Health of Emergency Department Healthcare Workers During COVID-19 in Brooklyn, New York

Gustafson

Yucel

Apple

et al. 2022

MRAJ

View full text Add to dashboard Cite

Background. Maintaining good mental health among Emergency Department healthcare workers (ED HCW) is paramount to well-functioning healthcare. We measured mental health and COVID-19 symptoms in ED HCW at a COVID-19 epicenter. Methods. A cross-sectional, convenience sample of adult (>18 years) ED HCW in Brooklyn, New York, USA, who were employed at >50% of a full-time effort, was surveyed September–December, 2020 with reference period March-May 2020. An anonymous email-distributed survey assessed gender, age, race, healthcare worker status (clinical versus non-clinical), SARS-CoV-2 testing, number of people to talk to, COVID-19-related home problems, mental health care interruption during COVID-19, loneliness, and survey date. Outcomes included symptoms of depression, psychological distress, perceived stress, post-traumatic stress disorder (PTSD), anxiety, and resilience measured using validated scales. Results. Of 774 HCW, 247 (31.9%) responded (mean age 38.2±10.8 years; 59.4% White; 52.5% men; 80.1% clinical; 61.6% SARS-CoV-2 tested). Average mental health scores were significantly higher among clinical vs non-clinical HCW (P’s<0.0001-0.019). The proportion reporting a clinically-relevant psychological distress symptom burden was higher among clinical vs non-clinical HCW (35.8% vs 13.8%, p=0.019); and suggested for depression (53.9% clinical vs 35.7% non-clinical, p=0.072); perceived stress (63.6% clinical vs 44.8% non-clinical, p=0.053); and PTSD (18.2% clinical vs 3.6% non-clinical, p=0.064). Compared to non-clinical staff, Medical Doctors and Doctors of Osteopathy reported 4.8-fold higher multivariable-adjusted odds of clinically-relevant perceived stress (95%CI 1.8-12.9, p=0.002); Emergency Medical Technicians reported 15.5-fold higher multivariable-adjusted odds of clinically-relevant PTSD (95%CI 1.6-150.4, p=0.018). Increasing age, number of COVID-19-related home problems and people to talk to, loneliness and mental health care interruption were adversely associated with mental health; being male and SARS-CoV-2 testing were beneficial. Conclusions. COVID-19-related mental health burden was high among ED HCW in Brooklyn. Mental health support services are essential for ED HCW.

show abstract

A cross sectional study on psychological impact of covid19 on post graduate doctors and Compulsory Rotatory Residential interns in COVID isolation ward of a tertiary care centre, Madurai

Cited by 6 publications

References 28 publications

Prevalence of Depression Among Undergraduate Medical Students in India: A Systemic Review and Meta-Analysis

Prevalence of Depression Among Undergraduate Medical Students in India: A Systemic Review and Meta-Analysis

A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives

Mental Health of Emergency Department Healthcare Workers During COVID-19 in Brooklyn, New York

Contact Info

Product

Resources

About