Development and validation of a questionnaire to assess socio-behavioural impact of COVID-19 on the general population.

BACKGROUND AND AIM: The aim of the study is to develop a valid and reliable tool to assess sociobehavioural changes due to COVID among the general population. METHODS: This mixed method study has two phases. Phase I for questionnaire development (literature review, focus group discussion, expert evaluation and pilot testing). Phase II for establishing construct validity via factor analysis and internal consistency via Cronbach's ɑ by administering the questionnaire on 179 participants. RESULTS: A questionnaire comprising 33 questions and five domains was developed having Cronbach's α of 0·82. CONCLUSION: The developed questionnaire is a concise, easy to administer and valid tool to assess socio-behavioural changes.

Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19.

OBJECTIVES: To study whether a trained convolutional neural network (CNN) can be of assistance to radiologists in differentiating Coronavirus disease (COVID)-positive from COVID-negative patients using chest X-ray (CXR) through an ambispective clinical study. To identify subgroups of patients where artificial intelligence (AI) can be of particular value and analyse what imaging features may have contributed to the performance of AI by means of visualisation techniques. METHODS: CXR of 487 patients were classified into [4] categories-normal, classical COVID, indeterminate, and non-COVID by consensus opinion of 2 radiologists. CXR which were classified as "normal" and "indeterminate" were then subjected to analysis by AI, and final categorisation provided as guided by prediction of the network. Precision and recall of the radiologist alone and radiologist assisted by AI were calculated in comparison to reverse transcriptase-polymerase chain reaction (RT-PCR) as the gold standard. Attention maps of the CNN were analysed to understand regions in the CXR important to the AI algorithm in making a prediction. RESULTS: The precision of radiologists improved from 65.9 to 81.9% and recall improved from 17.5 to 71.75 when assistance with AI was provided. AI showed 92% accuracy in classifying "normal" CXR into COVID or non-COVID. Analysis of attention maps revealed attention on the cardiac shadow in these "normal" radiographs. CONCLUSION: This study shows how deployment of an AI algorithm can complement a human expert in the determination of COVID status. Analysis of the detected features suggests possible subtle cardiac changes, laying ground for further investigative studies into possible cardiac changes. KEY POINTS: • Through an ambispective clinical study, we show how assistance with an AI algorithm can improve recall (sensitivity) and precision (positive predictive value) of radiologists in assessing CXR for possible COVID in comparison to RT-PCR. • We show that AI achieves the best results in images classified as "normal" by radiologists. We conjecture that possible subtle cardiac in the CXR, imperceptible to the human eye, may have contributed to this prediction. • The reported results may pave the way for a human computer collaboration whereby the expert with some help from the AI algorithm achieves higher accuracy in predicting COVID status on CXR than previously thought possible when considering either alone.

Assessment of Preventive Practices Followed by General Public During COVID-19 Pandemic - A Cross-Sectional Survey From India.

Objectives COVID-19 has infected millions of people across the globe, leading to hundreds of thousands of deaths. Currently, there are no vaccines available for COVID-19, and the most effective way to curb its spread is to follow preventive practices. The present study aimed to assess the extent of adoption of preventive practices among the general population in India. Methods A web-based cross-sectional survey was carried out recruiting 964 participants from all over India through purposive sampling. A pre-validated questionnaire consisting of 37 questions was used to collect data. Items 1A to 18A covered various preventive practices and items 1B to 19B covered reasons for not following those preventive practices. Descriptive statistics, chi-square tests, t-tests and one-way analysis of variance (ANOVA) were conducted. Results Most participants reported taking precautions such as wearing masks (91.80%), covering both nose and mouth (79.14%) and avoiding hand shaking (83.40%). However, practices like following social distancing in public places (51.76%) and workplace (51.04%), frequent hand washing/sanitising (63.59%) and washing hands for at least 20 seconds (45.44%) were less commonly observed. Participants failed to follow social distancing because of overcrowding and lack of space. They also found it cumbersome to wash hands multiple times. Female participants and people residing in metropolitan and small cities were fairly doing well in following preventive practices. Conclusion The study helped in identifying the glitches in following various preventive practices against COVID-19 during unlock phase and reasons for the failure to perform these practices.

Development of a self-assessment tool for resident doctors' communication skills in India

PURPOSE: Effective communication skills are essential for resident doctors to provide optimum patient care. This study was conducted to develop and validate a questionnaire for the self-assessment of resident doctors' communication skills in India. METHODS: This was a mixed-methods study conducted in 2 phases. The first phase consisted of questionnaire development, including the identification of relevant literature, focus group discussions with residents and experts from clinical specialties, and pre-testing of the questionnaire. The second phase involved administering the questionnaire survey to 95 residents from the Departments of Medicine, Emergency Medicine, Pediatrics, and Surgery at the All India Institute of Medical Sciences, New Delhi, India in April 2019. Internal consistency was tested and the factor structure was analyzed to test construct validity. RESULTS: The questionnaire consisted of 3 sections: (A) 4 items on doctor-patient conflicts and the role of communication skills in avoiding these conflicts, (B) 29 items on self-assessment of communication skills in different settings, and (C) 8 items on barriers to practicing good communication skills. Sections B and C had good internal consistency (Cronbach α: 0.885 and 0.771, respectively). Section C had a 2-factor solution, and the barriers were classified as 'training' and 'infrastructure' factors. CONCLUSION: This appears to be a valid assessment tool of resident doctors' communication skills, with potential utility for identifying gaps in communication skills and developing communication skills modules.

Gender-based Assessment of Survival in Trauma-hemorrhagic Shock: A Retrospective Analysis of Indian Population.

INTRODUCTION: Trauma-hemorrhagic shock (THS) is a leading cause of death. Female rats and women experience better outcomes in terms of survival after major trauma as compared to males. There are limited data in Indian population. Authors studied the gender-based outcome of patients with Class IV hemorrhagic shock due to blunt trauma and the distribution of factors among males and females which are known to affect outcome. MATERIALS AND METHODS: It was a retrospective study with data of trauma victims between January 2008 and July 2013. Road traffic crash (RTC), fall, or assault of all ages with Class IV hemorrhagic shock on arrival was included in the study, and data were collected on demographic, clinical, and laboratory parameters. Drowning, burns, penetrating injuries, and septic, neurogenic, and cardiogenic shock were excluded from the study. RESULTS: Seven hundred and eighty-one patients were analyzed under three groups: (i) overall group including all patients (n = 781), (ii) male group (n = 609), and (iii) female group (n = 172). After adjusting all variables, mortality was significantly lower in females as compared to males following THS (P < 0.05). Age, blood pressure, pulse, male gender, and fall and RTC as mode of injury (MOI) were independent predictors of mortality (P < 0.05) in overall group. Among males, age, pulse, and RTC as a MOI were significant (P < 0.05), while in females, only systolic blood pressure (SBP) was independent predictor of mortality. CONCLUSION: Females had better survival as compared to males following THS. SBP was an independent predictor of mortality in females with THS.