Burnout, motivation and job satisfaction among community health workers recruited for a depression training in Madhya Pradesh, India: a cross-sectional study.

Introduction: Burnout, low motivation, and poor job satisfaction among community health workers (CHWs) have negative impacts on health workers and on patients. This study aimed to characterize levels of burnout, motivation, and job satisfaction in CHWs in Madhya Pradesh, India and to determine the relation between these levels and participant characteristics. This study can inform efforts to promote wellbeing and address stress in this population.

Seropositivity and coinfection of hepatitis B and hepatitis C viruses in Central India: A hospital-based study.

Background: Hepatitis B virus (HBV) and Hepatitis C virus (HCV) show similarity in the transmission, distribution, hepatotropism, and leading to chronic asymptomatic infection. Coinfection of HBV and HCV can lead to more severe liver disease and an increased risk for progression to hepatocellular carcinoma (HCC). Most of the people with chronic infection are unaware of their HBV and HCV infections, hence facilitating these to go undiagnosed until these viruses have caused serious liver damage and they act as a potential source of infection for the community at large.

A four-hit mechanism is sufficient for meningioma development.

Purpose: Meningiomas are central nervous system tumors whose incidence increases with age. Benign meningioma pathogenesis involves germline or somatic mutation of target genes, such as NF2, leading to clonal expansion. We used an established cancer epidemiology model to investigate the number of rate-limiting steps sufficient for benign meningioma development.

EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study.

Background: Recent studies have identified significant gaps in equity, diversity, and inclusion (EDI) considerations within the lifecycle of artificial intelligence (AI), spanning from data collection and problem definition to implementation stages. Despite the recognized need for integrating EDI principles, there is currently no existing guideline or framework to support this integration in the AI lifecycle.

Objective: This study aimed to address this gap by identifying EDI principles and indicators to be integrated into the AI lifecycle.