출산⋅육아 지원 정책 플랫폼의 정보 제공 구조 및 사용자 접근성 분석

초록

This study was conducted to analyze how maternity and childcare support policies in Korea are delivered to actual policy users. To do so, we analyzed the types of policy information delivery platforms and the structure of delivery methods as of April 2025, focusing on universal childbirth and childcare support policy information provided by the government and local governments. In particular, we examined how consumers perceive, access, and utilize policy information from a user-centered information accessibility perspective, rather than simply the existence of the system. As a result, Korea’s maternity and childcare policies are provided decentralized through various channels of related ministries and agencies, and the application path and information delivery structure are not integrated, making it difficult for consumers to understand and utilize the entire policy. In particular, structural problems that cause user confusion were identified, such as different application methods for each policy within the same ministry, and double application procedures due to linkages with private organizations. In addition, local customized services centered on local governments are expanding during the child-rearing period, leading to deviations in information between regions and nonstandardization of application procedures. This structure was likely to lead to information disconnection and confusion when changing residence, such as moving. Based on these precedents and analysis of the current situation, this study suggests the following as complementary points: establishing a life-cycle-based integrated platform for childbirth and childcare, strengthening standardization and linkage of childbirth and childcare-related information by local governments, establishing a batch processing system for private linkage policies, and designing user journey-based policies. It was also suggested that further research should be conducted to upgrade the user-centered delivery system through qualitative analysis of users’ actual experiences and information usage behavior.

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