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Intersectionality in Maternal Health: Gender, Labor, and Structural Barriers With a Focus on Korea

Authors
Kim, Jeung-ImYu, 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.
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