Evidence map›Paper›PMID 39671773›Full record

ArticleNursing outlook

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

Bei Wu, Zheng Zhu

Abstract read
In one paragraph

Article in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Bei WuRory Meyers College of Nursing, New York University, New York, NY. Electronic address: bei.wu@nyu.edu.
Zheng ZhuRory Meyers College of Nursing, New York University, New York, NY; School of Nursing, Fudan University, Shanghai, China.

Funding

Rutgers-NYU Center for Asian Health Promotion and EquityP50MD017356 · NIMHD · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SETOGUCHI IWATA, SOKO, ZHENG, YAGUANG · 2021 to 2025
$11.6M
Resource Center for Alzheimer's and Dementia Research in Asian and Pacific AmericansP30AG083257 · NIA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Cui Yang · 2023 to 2026
$3.5M
Research Education and Training CoreP30AG059304 · NIA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI CRYSTAL, STEPHEN, HU, WILLIAM TZU-LUNG · 2018 to 2022
$3.1M
NIA NIH HHS P30 AG059304NIA NIH HHS P30 AG083257NIMHD NIH HHS P50 MD017356
6 · The paper itself

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.

Indexed as

Health EquityInformation DisseminationNursing ResearchArtificial IntelligenceHumansArtificial intelligenceHealth equityMethodologyNursing science

Identifiers

PMID39671773
PMCPMC11810570

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.