Multiple approaches to advance health equity in nursing science: Recruitment, data, and dissemination

Bei Wu, Zheng Zhu

Research output: Contribution to journalArticlepeer-review

Abstract

Ensuring equitable care and health outcomes for all populations is essential in nursing science. However, achieving health equity in nursing science necessitates a multifaceted approach to address the complex factors influencing health disparities. This paper presented the keynote address delivered at the Advanced Methods Conference hosted by the Council for Advancement of Nursing Science in 2023. We identified critical gaps in health equity within nursing science, emphasizing the need for innovative recruitment strategies, comprehensive data analysis, and targeted dissemination efforts. This paper underscores the importance of equity in artificial intelligence research, highlighting issues such as biases in machine learning models and the underrepresentation of minoritized groups. Bridging the current gaps in health equity research within nursing science requires a systematic and forward-thinking approach.

Original languageEnglish (US)
Article number102343
JournalNursing outlook
Volume73
Issue number1
DOIs
StatePublished - Jan 1 2025

Keywords

  • Artificial intelligence
  • Health equity
  • Methodology
  • Nursing science

ASJC Scopus subject areas

  • General Nursing

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