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1.
Article in English | WPRIM (Western Pacific) | ID: wpr-895288

ABSTRACT

Objectives@#Healthcare workers (HCWs) are at a high risk of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to the increased likelihood of clinical exposure during patient management. The study objective was to determine the seroprevalence of antibodies to SARS-CoV-2 and its predictors among hospital employees. @*Methods@#The cross-sectional study was conducted at a teaching hospital from August 2020 to September 2020 among 1,401 employees, including 1,217 HCWs, in New Delhi, India. The serum samples were examined for immunoglobulin G (IgG) antibodies to SARS-CoV-2 using the COVID Kavach-Anti-SARS-CoV-2 IgG Antibody Detection enzyme-linked immunosorbent assay kit. Data were collected electronically using the EpiCollect mobile platform. A p<0.05 was considered to indicate statistical significance. @*Results@#A total of 169 participants (12.1%) had detectable IgG antibodies to SARS-CoV-2. The highest seropositivity rate was observed in the administrative staff (20.1%), while it was lowest among medical doctors (5.5%, p<0.001). Male sex and ever having lived in a containment zone were independently associated with past infection with SARS-CoV-2. @*Conclusion@#The seroprevalence of SARS-CoV-2 infection in health workers may be lower than in the general population in New Delhi. However, nonpharmaceutical interventions were not associated with a reduction in the risk of acquisition of SARS-CoV-2.

2.
Article in English | WPRIM (Western Pacific) | ID: wpr-902992

ABSTRACT

Objectives@#Healthcare workers (HCWs) are at a high risk of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to the increased likelihood of clinical exposure during patient management. The study objective was to determine the seroprevalence of antibodies to SARS-CoV-2 and its predictors among hospital employees. @*Methods@#The cross-sectional study was conducted at a teaching hospital from August 2020 to September 2020 among 1,401 employees, including 1,217 HCWs, in New Delhi, India. The serum samples were examined for immunoglobulin G (IgG) antibodies to SARS-CoV-2 using the COVID Kavach-Anti-SARS-CoV-2 IgG Antibody Detection enzyme-linked immunosorbent assay kit. Data were collected electronically using the EpiCollect mobile platform. A p<0.05 was considered to indicate statistical significance. @*Results@#A total of 169 participants (12.1%) had detectable IgG antibodies to SARS-CoV-2. The highest seropositivity rate was observed in the administrative staff (20.1%), while it was lowest among medical doctors (5.5%, p<0.001). Male sex and ever having lived in a containment zone were independently associated with past infection with SARS-CoV-2. @*Conclusion@#The seroprevalence of SARS-CoV-2 infection in health workers may be lower than in the general population in New Delhi. However, nonpharmaceutical interventions were not associated with a reduction in the risk of acquisition of SARS-CoV-2.

3.
PLoS One ; 13(10): e0205096, 2018.
Article in English | MEDLINE | ID: mdl-30359382

ABSTRACT

Understanding the burden and pattern of mental disorders as well as mapping the existing resources for delivery of mental health services in India, has been a felt need over decades. Recognizing this necessity, the Ministry of Health and Family Welfare, Government of India, commissioned the National Mental Health Survey (NMHS) in the year 2014-15. The NMHS aimed to estimate the prevalence and burden of mental health disorders in India and identify current treatment gaps, existing patterns of health-care seeking, service utilization patterns, along with an understanding of the impact and disability due to these disorders. This paper describes the design, steps and the methodology adopted for phase 1 of the NMHS conducted in India. The NMHS phase 1 covered a representative population of 39,532 from 12 states across 6 regions of India, namely, the states of Punjab and Uttar Pradesh (North); Tamil Nadu and Kerala (South); Jharkhand and West Bengal (East); Rajasthan and Gujarat (West); Madhya Pradesh and Chhattisgarh (Central) and Assam and Manipur (North East). The NMHS of India (2015-16) is a unique representative survey which adopted a uniform and standardized methodology which sought to overcome limitations of previous surveys. It employed a multi-stage, stratified, random cluster sampling technique, with random selection of clusters based on Probability Proportionate to Size. It was expected that the findings from the NMHS 2015-16 would reveal the burden of mental disorders, the magnitude of the treatment gap, existing challenges and prevailing barriers in the mental-health delivery systems in the country at a single point in time. It is hoped that the results of NMHS will provide the evidence to strengthen and implement mental health policies and programs in the near future and provide the rationale to enhance investment in mental health care in India. It is also hoped that the NMHS will provide a framework for conducting similar population based surveys on mental health and other public health problems in low and middle-income countries.


Subject(s)
Health Surveys , Mental Health , Adolescent , Adult , Female , Humans , India/epidemiology , Male , Mental Disorders/epidemiology , Mental Disorders/therapy , Middle Aged , Needs Assessment , Qualitative Research , Research Design , Young Adult
4.
Korean Journal of Urology ; : 426-429, 2014.
Article in English | WPRIM (Western Pacific) | ID: wpr-33559

ABSTRACT

Endovascular management of intraparenchymal renal artery pseudoaneurysms is a reasonable and effective therapeutic technique. Endovascular management preserves the maximum amount of renal tissue and reduces the potential risk of nephrectomy. We present the case of an angiocatheter that became stuck in the renal artery following the injection of cyanoacrylate glue for angioembolization of an intrarenal pseudoaneurysm.


Subject(s)
Adhesives , Aneurysm, False , Cyanoacrylates , Embolization, Therapeutic , Nephrectomy , Nephrostomy, Percutaneous , Renal Artery
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