Nurses You Should Know: The power of online microlearning to decolonize nursing's history

被引：1

作者：

Uribe, Joanna Seltzer ^{[1
,2
]}

Aponte, Ravenne ^{[1
,3
]}

Brown, Jessica ^{[4
,5
,6
]}

McCamey, Danielle ^{[7
,8
]}

机构：

[1] Nurses You Should Know, Montclair, NJ USA

[2] Solomon Page, New York, NY USA

[3] Univ Penn, Barbara Bates Ctr Study Hist, Sch Nursing, Philadelphia, PA USA

[4] Boundless Butterfly Press, Bergenfield, NJ USA

[5] Columbia Univ, Med Ctr New York, New York, NY USA

[6] Colorado Tech Univ, Sch Nursing, Colorado Springs, CO USA

[7] DNPs Color, Alexandria, VA USA

[8] Johns Hopkins Univ, Sch Nursing, Baltimore, MD USA

来源：

NURSING OUTLOOK | 2024年 / 72卷 / 05期

关键词：

Microlearning; Nursing history; Decolonization; Nursing education; Equity-Centered Community Design; Diversity; equity; inclusion; and; belonging (DEIB); HEALTH DISPARITIES; DIVERSITY;

D O I：

10.1016/j.outlook.2024.102227

中图分类号：

R47 [护理学];

学科分类号：

1011 ;

摘要：

Black, Hispanic, Indigenous, Native American, Asian, and Pacific Islander nurses have played a critical role in shaping professional nursing and health care. Despite their contributions, the narrative of nursing's origin has predominantly revolved around the legacy of a single white British nurse, Florence Nightingale. This paper presents the development of the Nurses You Should Know (NYSK) project, which sought to decolonize the narrative surrounding nursing's history and highlight the contributions and experiences of past and present-day nurses of color. The NYSK project utilized an Equity-Centered Community Design process, incorporating microlearning strategies, storytelling, and history to develop a digital library of over 100 stories of nurses of color that capture nursing's rich and complex history. Utilized as a resource within nursing curricula, the NYSK project stands as a testament to the power of history in promoting a more inclusive and equitable future for nursing, offering valuable insights for educators, researchers, and practitioners. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

引用

页数：7