Regular Antenatal Care Visits Predict Good Knowledge Among Post-natal Mothers Regarding Entitlements of Health Programs in Western India

Janani-Shishu Suraksha Karyakram (JSSK) and Janani Suraksha Yojana (JSY) were launched with the objective of increasing institutional deliveries. But, its knowledge among the post-natal mothers is not known. This research evaluated the knowledge of two national health programs among post-natal mothers and found out the predictors of good knowledge about the entitlements of these programs. A cross-sectional study was conducted on a sample of consecutively recruited 339 post-natal mothers who had delivered in a tertiary care hospital of western India. Data were collected from November 2016 to February 2017 by interview method using a questionnaire with questions about knowledge regarding the entitlements of JSSK and JSY. Multivariable analysis was carried out for predictors of good knowledge. Among the 339 post-natal mothers, 30% had a good knowledge regarding JSSK. Only 24% had heard about JSSK; 54% knew regarding free transport to the place of delivery; only 22% and 13%, respectively knew about free inter-facility transport in case of complications for pregnant women and sick infants, while 96% knew regarding free drop-back facility. Only one-fourth of the mothers knew regarding monetary benefit under JSY, while 28% of them had actually received the benefit. The number of antenatal care visits, having an occupation and belonging to Hindu religion significantly predicts good knowledge among postnatal mothers regarding JSSK. Knowledge among the post-natal mothers regarding the entitlements of JSSK and JSY is less while comparing with published literature and needs improvement. Regular ante-natal care (ANC) visits might improve their knowledge of these programs. There is a need to create awareness among hospital staff for the provision of reimbursement of costs incurred by post-natal mothers. There is also a need to carry out demand generation activities among mothers regarding the entitlements of JSSK and JSY

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use