Intersectionality in Maternal Health: Gender, Labor, and Structural Barriers With a Focus on Korea
- Authors
- Kim, Jeung-Im; Yu, Mi
- Issue Date
- Jul-2025
- Publisher
- Lippincott Williams & Wilkins Ltd.
- Keywords
- artificial intelligence; gender equity; intersectional framework; maternal health; nurse; social vulnerability
- Citation
- Advances in Nursing Science, v.48, no.3, pp 291 - 301
- Pages
- 11
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- Advances in Nursing Science
- Volume
- 48
- Number
- 3
- Start Page
- 291
- End Page
- 301
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/78765
- DOI
- 10.1097/ANS.0000000000000570
- ISSN
- 0161-9268
1550-5014
- Abstract
- Drawing on intersectional feminist theory, this review interrogates maternal health disparities through lenses of gender, labor, and structural inequality, with a particular focus on South Korea. It integrates global trends with local realities to examine how socioeconomic status, digital divides, and algorithmic bias in artificial intelligence systems could compound maternal vulnerability. By critically evaluating gender gaps in nursing research and leadership, this paper advocates for the adoption of intersectionality as a foundational framework in nursing science to redress inequities and promote inclusive health care innovation. Copyright © 2025 Wolters Kluwer Health, Inc.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 간호대학 > Department of Nursing > Journal Articles

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.