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在精准健康时代重新设计文化适应干预措施:自我管理科学背景。

Redesigning culturally tailored intervention in the precision health era: Self-management science context.

机构信息

The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX.

The Center for Health Equity Research, School of Nursing, The University of Texas, Austin, TX.

出版信息

Nurs Outlook. 2022 Sep-Oct;70(5):710-724. doi: 10.1016/j.outlook.2022.05.015. Epub 2022 Aug 4.

Abstract

BACKGROUND

Nurse scientists have significantly contributed to health equity and ensuring cultural tailoring of interventions to meet unique needs of individuals. Methodologies for cultural tailoring of self-mangament interventions among marginalized populations have limitedly accommodated intersectionality and group heterogeneity when addressing health needs.

PURPOSE

Identify methodological limitations in cultural tailoring of interventions among priority populations and issue recommendations on cultural elements that researchers can target to ensure valid cultural tailoring approaches.

METHODS

Synthesis of literature on health equity, self-management, and implementation and dissemination research.

FINDINGS

Among priority populations, intersectionality and group heterogeneity has made group-based cultural tailoring approaches less effective in eliciting desirable health outcomes. Precision health methodology could be useful for cultural tailoring of interventions due to the methodology's focus on individual-level tailoring approaches.

DISCUSSION

We offer ways to advance health equity research using precision health approaches in cultural tailoring through targeting unique elements of culture and relevant psychosocial phenotypes.

摘要

背景

护士科学家为健康公平做出了重大贡献,并确保干预措施的文化调整符合个人独特需求。针对边缘化人群的自我管理干预措施的文化调整方法在解决健康需求时,很少考虑到交叉性和群体异质性。

目的

确定优先人群中干预措施文化调整方法的局限性,并就研究人员可以针对的文化要素提出建议,以确保有效的文化调整方法。

方法

对健康公平、自我管理以及实施和传播研究的文献进行综合分析。

结果

在优先人群中,交叉性和群体异质性使得基于群体的文化调整方法在产生理想的健康结果方面效果较差。由于该方法侧重于个体化的调整方法,精准健康方法可能对干预措施的文化调整有用。

讨论

我们通过针对独特的文化要素和相关的心理社会表型,提出了利用精准健康方法在文化调整中推进健康公平研究的方法。

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