Year: 2024
Type: article
Study design: Observational Study
Abstract: Mental health is a pivotal aspect of overall well-being, yet access to mental health services is unevenly distributed across different socioeconomic groups. This study explores the influence of socioeconomic factors—such as income, education, employment status, and housing—on access to mental health care. Employing a mixed-methods approach, the research integrates quantitative analysis of survey data with qualitative interviews to reveal significant disparities in service utilization. Findings indicate that individuals from lower socioeconomic backgrounds face substantial barriers, including financial constraints, stigma, and geographic limitations. The study underscores the persistent nature of these inequalities and highlights the need for targeted policy interventions and systemic reforms. Expanding insurance coverage, reducing stigma, and increasing mental health infrastructure in underserved areas are critical for improving access. Future research should focus on evaluating policy impacts and exploring innovative service delivery models.
Source: Non human journal.
Authors: Generative artificial intelligence chatbot developed by OpenAI, chatgpt .com, Maruf Khan Ayon, Executive, Life Spring Consultancy, Dhaka, Bangladesh
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4402101256