Dementia literacy and familiarity with term dementia: An exploratory study from a psychiatry outpatient setting.

Objectives: Dementia, often misperceived as an inherent facet of aging, is, in fact, a progressive neurodegenerative condition. It carries a significant stigma due to its associated psychological and behavioral manifestations, leading to neglect and abuse within households. Studies reveal an alarming 90% treatment gap for dementia in India, largely due to limited knowledge about symptom recognition and accessing services. Thus, enhancing dementia literacy becomes crucial for early diagnosis and proper management. This study aims to assess dementia literacy and familiarity with the term "dementia" in a North Indian tertiary health-care setting. Materials and Methods: This cross-sectional study used a case vignette method among patients and their attendants at psychiatry outpatient setting in a tertiary care hospital. A validated Hindi-translated case vignette depicting a dementia patient was employed. The study gathered sociodemographic data, the case vignette, and three related questions. Participants read the vignette and provided answers. The analysis included 200 responses collected in 1 month. Results: Respondents predominantly associated the case's condition with memory issues, mental illness, and psychosocial factors. They suggested social support, a nurturing family environment, communal living, and consulting a doctor for the protagonist. Familiarity with "dementia" was at a mere 24%. Conclusion: Dementia literacy and awareness of "dementia" are notably low in our sample. Urgent efforts are required to enhance dementia awareness to facilitate timely prevention, early detection, and effective management.

Artificial intelligence and Psychiatry: An overview.

The burden of mental illness both in world and India is increasing at an alarming rate. Adding to it, there has been an increase in mental health challenges during covid-19 pandemic with a rise in suicide, loneliness and substance use. Artificial intelligence can act as a potential solution to address this shortage. The use of artificial intelligence is increasingly being employed in various fields of mental health like affective disorders, psychosis, and geriatric psychiatry. The benefits are various like lower costs, wider reach but at the same time it comes with its own disadvantages. This article reviews the current understanding of artificial intelligence, the types of Artificial intelligence, its current use in various mental health disorders, current status in India, advantages, disadvantages and future potentials. With the passage of time and digitalization of the modern age, there will be an increase in the use of artificial intelligence in psychiatry hence a detailed understanding will be thoughtful. For this, we searched PubMed, Google Scholar, and Science Direct, China national Knowledge Infrastructure (CNKI), Globus Index Medicus search engines by using keywords. Initial searches involved the use of each individual keyword while the later searches involved the use of more than one word in different permutation combinations.