Screening for red flag symptoms of cancer: A community-based cross-sectional study from urban Puducherry, India

BACKGROUND: Patients with cancer often delay seeking medical advice in developing countries. In India, only 20%–30% of cancers are being diagnosed in Stages I and II. Screening for red flag symptoms of cancer can be used to identify high-risk individuals in the community. METHODOLOGY: A community-based cross-sectional study was conducted in February 2017 among 302 participants in one of the service areas of Jawaharlal Institute of Postgraduate Medical Education and Research urban health center selected by universal sampling. Data on the presence of red flag symptoms of cancer (persistent cough, persistent change in bowel/bladder habits, nonhealing ulcer, persistent difficulty in swallowing, unexplained weight loss, unexplained lump, persistent unexplained pain, unexplained bleeding, and change in the appearance of mole) and presence of risk factors were collected through interviews. The collected data were entered using EpiData version 3.0. RESULTS: The mean (standard deviation) age of the study participants was 44 (11) years and 50.6% of them were male. At least one red flag symptom of cancer was present in 22 (7.3%) individuals; 9 (2.8%) had unexplained pain, 4 (1.3%) had change in bowel habits, 4 (1.3%) had change in bladder habits, 3 (1%) had cough, 3 (1%) had nonhealing ulcer, 2 (0.6%) had unexplained bleeding, 1 (0.3%) had difficulty in swallowing, 1 (0.3%) had weight loss, 1 (0.3%) had lump, and 1 (0.3%) had change in the appearance of mole. CONCLUSION: Screening for red flag symptoms of cancer is an easy tool that can be used in the community to identify high-risk individuals, which will facilitate early diagnosis of cancer

Psychological impact of Covid-19 pandemic among the Healthcare workers in a North-Eastern state of India

Background: Previous studies done during SARS 2003 outbreak and early reports related to COVID-19 show that healthcare workers experience considerable anxiety, stress and fear. Although similar studies were done in other parts of India, there is dearth of data on this topic in the Northeastern region. Aim: This study aimed to assess the mental health status of Healthcare Workers during Covid-19 pandemic in the region. Methods: The study was conducted among the doctors and nurses of a Northeastern state of India through an online survey. PHQ-9, GAD-7 and ISI scales were used to assess depression, anxiety and insomnia among the participants. Results: The prevalence of depression, anxiety and insomnia among the HCWs was 74.5%, 42% and 32%, respectively. Moderate to Severe form of depression, anxiety and insomnia was experienced by 15.5%, 20.5% and 8.5%, respectively. Females and those who directly cared for Covid-19 patients were more prone to suffer from depression. Participants who reported having previous history of any psychological problems reported eight-fold, seven-fold and three-fold increased odds of developing depression, anxiety and insomnia, respectively, during the pandemic. Conclusions: A large proportion of HCWs reported symptoms of depression, anxiety and insomnia among the healthcare workers. Protecting the mental health of these health workers is paramount to ensure psychological wellbeing, which in turn will ensure a healthy and robust workforce. Relevance for Patients: Improves the productivity of Healthcare workers in terms of Patient care and Management

Tobacco use, exposure to second-hand smoke among pregnant women and their association with birth weight: A retrospective cohort study

Background: There is paucity of studies on prevalence of SHS among pregnant women and its association with low birth weight (LBW). Objectives: The study was designed to determine the proportion of tobacco use, exposure to second hand smoke among pregnant women and their association with LBW. Materials and Methods: A Retrospective cohort study was conducted from March–June 2017 among 1043 pregnant women admitted for delivery in the Department of Obstetrics and Gynecology, JIPMER. Socio-demographic and obstetric characteristics, tobacco use and exposure to SHS during pregnancy were assessed by interviews. Birth weight of the baby was also extracted. Data was analysed using STATA v12. Univariate analysis was used to assess the association of socio-demographic, obstetric characteristics and exposure to SHS with LBW. Results: Out of 1043 pregnant women, the mean age was 25 (±3.9) years. More than half (57.4%) of women were primigravida. The proportion of women exposed to SHS during pregnancy was 69.9% (95% CI: 67.0-72.6) among which 24% of the women belonged to family, where family members were smokers. Only four had ever used tobacco in the past. However, none used any form of tobacco during pregnancy. LBW was present in 21.4% of the babies. There was no association between exposure to SHS and LBW [PR:0.98 (95% CI:0.71-1.35)]. Conclusion: The study shows that there was no significant association between the SHS exposure of pregnant women and low birth weight