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网络框架为理解复杂的健康和医疗保健系统问题(如自杀)提供了一种有前途的跨学科工具。

A network frame offers a promising transdisciplinary tool for understanding complex health and health care system problems like suicide.

机构信息

Department of Sociology, Indiana University, Bloomington, IN 47405.

Irsay Institute for Sociomedical Sciences, Indiana University, Bloomington, IN 47405.

出版信息

Proc Natl Acad Sci U S A. 2024 Aug 20;121(34):e2402194121. doi: 10.1073/pnas.2402194121. Epub 2024 Aug 13.

DOI:10.1073/pnas.2402194121
PMID:39136988
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11348096/
Abstract

As health and health care systems continue to face massive challenges from local to global well-being, understanding the processes that lead to improvement or deterioration in human health has embraced a broad range of forces from genes to national cultures. Despite the many efforts to deploy a common framework that captures diverse drivers at scale, the common missing element is the absence of a flexible mechanism that can guide research within and across levels. This hinders both the cumulation of knowledge and the development of a scientific foundation for multiplex interventions. However, studies across disciplines using a wide variety of methods and measures have converged on "connectedness" as crucial to understanding how factors operate in the health space. More formally, a focus on the critical role of the network structure and content of key elements and how they interact, rather than just on the elements themselves, offers both a generalized theory of active factors within levels and the potential to theorize interactions across levels. One critical contemporary health crisis, suicide, is deployed to illustrate the Network Embedded Symbiome Framework. The wide range of health and health care research where networks have been implicated supports its potential but also cautions against inevitable limits that will require creative theorizing and data harmonization to move forward.

摘要

随着健康和医疗保健系统继续面临从地方到全球福祉的巨大挑战,理解导致人类健康改善或恶化的过程已经涉及到从基因到国家文化的广泛力量。尽管已经做出了许多努力来部署一个通用的框架,以大规模地捕捉不同的驱动因素,但共同缺失的要素是缺乏一种灵活的机制,无法在各个层面上指导研究。这既阻碍了知识的积累,也阻碍了多元干预措施的科学基础的发展。然而,跨学科的研究使用各种各样的方法和措施已经得出结论,认为“连通性”对于理解因素在健康空间中的运作方式至关重要。更正式地说,关注关键要素的网络结构和内容以及它们之间的相互作用的作用,而不仅仅是关注要素本身,既提供了一个关于各级积极因素的一般化理论,也提供了在各级之间进行理论化的可能性。自杀是当代一个严重的健康危机,被用来举例说明网络嵌入式共生体框架。网络已经涉及到的广泛的健康和医疗保健研究支持了它的潜力,但也警告了不可避免的限制,这将需要创造性的理论化和数据协调来推进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b34a/11348096/8e9d96c80f8e/pnas.2402194121fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b34a/11348096/e99f148d8cac/pnas.2402194121fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b34a/11348096/ff786dbabca4/pnas.2402194121fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b34a/11348096/8e9d96c80f8e/pnas.2402194121fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b34a/11348096/e99f148d8cac/pnas.2402194121fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b34a/11348096/ff786dbabca4/pnas.2402194121fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b34a/11348096/8e9d96c80f8e/pnas.2402194121fig03.jpg

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