Examining the Threat of ChatGPT to the Validity of Short Answer Assessments in an Undergraduate Medical Program.

Objectives: ChatGPT is an artificial intelligence model that can interpret free-text prompts and return detailed, human-like responses across a wide domain of subjects. This study evaluated the extent of the threat posed by ChatGPT to the validity of short-answer assessment problems used to examine pre-clerkship medical students in our undergraduate medical education program.

Methods: Forty problems used in prior student assessments were retrieved and stratified by levels of Bloom's Taxonomy.

A systematic review of the effectiveness of in-home community nurse led interventions for the mental health of older persons.

Aims And Objectives: The aim was to systematically review evidence about the effectiveness of in-home community nurse-led interventions for older persons with, or at risk of, mental health disorders, to inform best practice nursing care with this focus. The primary review question was 'How effective are in-home community nurse-led interventions for older persons with or at risk of mental health disorders for improving mental health?' The outcome indices of interest were nursing actions to determine incidence or prevalence of mental health disorders, any change in a patient's attitude towards their mental health condition, any change in objective measurement of mental health, or a change in diagnostic status.

Background: The rising incidence of mental health disorders in older persons is a major concern for community nurses in developed countries.