Research of Categorization the Welfare Blind Spots Case to Improve Social Welfare Services
Submitted by siadmin on Tue, 12/31/2024 - 09:00The purpose of this study is to collect and categorize cases of blind spots in welfare services in Seoul from various organizations. The aim is to suggest improvements to the social welfare services provided by the Seoul Metropolitan Government (SMG). The research method involved analyzing blind spot cases from the central government's blind spot discovery system through the Social Security Information System (Haengbok-E-eum). Cases of deaths of families in crisis in Seoul were also examined, along with additional analysis of welfare field consulting data. Moreover, cases were collected from various community welfare organizations operating in Seoul, and a survey was conducted targeting workers in autonomous districts and welfare organizations. The collected data and cases were categorized based on demographic characteristics, economic characteristics, and crisis situations. Additionally, the characteristics identified through Haengbok-E-eum cases and survey findings were organized. The analysis confirmed the characteristics of welfare blind spots based on region and the types of blind spots recognized as challenging by each organization. The types of blind spots were categorized as "Complete Blind Spots," "Unmet Blind Spots," and "New Types" using criteria such as experience in receiving public support and contact points with the Research of categorization the welfare blind spots case to improve social welfare services 196 public. The conclusion presents the derived types as problems and alternative solutions for welfare blind spots, according to the stages of discovery, support, and management in the crisis household case management system. It particularly suggests cooperation and improvements at both the central government level and the relationship between Seoul City and autonomous districts. Additionally, response plans are divided into short-term and mid- to long-term solutions based on the type of blind spot, along with realistic alternatives to address the problem of welfare blind spots.