了解全球癌症差异:从系统动力学角度看社会决定因素的作用。

Q3 Multidisciplinary
Faustine Williams, Nancy Zoellner, Peter S Hovmand
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引用次数: 0

摘要

背景:2012 年,近 57% 的癌症病例和 65% 的癌症死亡病例发生在中低收入国家。如果目前的趋势继续下去,到 2030 年,癌症负担将增至每年 2200 万个新病例,其中 81% 的新病例和近 88% 的死亡病例发生在欠发达国家:方法:对文献进行了定性审查。其中包括对八个电子数据库的系统检索,即 PubMed、Academic Search Premier、CINAHL、Applied Social Sciences Index、EMBASE、SCOPUS、Cochrane 和 PsycINFO。此外,还对检索到的文章的参考文献目录进行了全面检索。纳入标准为涉及全球健康、癌症差异以及全球或经济发展的研究:结果:共发现 31 篇符合资格标准的文章。研究结果以系统动力学因果循环图或地图的形式进行了综合,从而确定了八个主要存量或系统变量。这些变量包括:儿童和成人人口、整体人口健康、污染、医疗保健服务质量、邻里和建筑环境质量、社会和社区凝聚力、健康和社会规范与态度以及文化水平。在此基础上,提出了全球癌症健康差异的动态假设。因果循环图显示了多种相互影响的反馈机制在解释全球癌症健康差异趋势和潜在后果中的作用:结论:要解决这些健康决定因素,需要采取有效的动态方法来改善全球癌症健康状况。应用系统思维方法有可能提供新的理解,即全球发展趋势如何与改善人口健康的全球卫生工作相结合,从而改变与癌症相关的差异和负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Understanding Global Cancer Disparities: The Role of Social Determinants from System Dynamics Perspective.

Understanding Global Cancer Disparities: The Role of Social Determinants from System Dynamics Perspective.

Understanding Global Cancer Disparities: The Role of Social Determinants from System Dynamics Perspective.

Understanding Global Cancer Disparities: The Role of Social Determinants from System Dynamics Perspective.

Background: In 2012, almost 57% of all cancer cases and 65% of cancer deaths occurred in low-and middle-income countries. If the current trend continues, the burden of cancer will increase to 22 million new cases annually by 2030, with 81% of new cases and almost 88% of mortality occurring in less developed countries.

Methods: A qualitative review of the literature was conducted. This included a systematic search of eight electronic databases namely, PubMed, Academic Search Premier, CINAHL, Applied Social Sciences Index, EMBASE, SCOPUS, Cochrane and PsycINFO. The reference list of articles retrieved were also thoroughly searched. Inclusion criteria were studies that addressed global health, cancer disparities and global or economic development.

Results: Thirty-one articles were identified that met the eligibility criteria. Results were synthesized in the form of a system dynamics causal loop diagram or map which led to identification of eight major stocks or system variables. These included, children and adult population, overall population health, pollution, quality of healthcare delivery, quality of neighborhood and built environment, social and community cohesiveness, healthy and social norms and attitudes, and literacy level. Based on this, a dynamic hypothesis of global health cancer disparities was developed. The causal loop diagram showed the role of multiple interacting feedback mechanisms as explanations for trends in global health cancer disparities and the underlying consequences.

Conclusions: Addressing these determinants of health requires an effective dynamic approach to improving global cancer health. Application of a systems thinking methodological approach has the potential to provide new understanding to how global development trends in combination with global health efforts to improve population health could shift cancer disparities and burden associated with the disease.

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来源期刊
Transdisciplinary Journal of Engineering  Science
Transdisciplinary Journal of Engineering Science Multidisciplinary-Multidisciplinary
CiteScore
1.00
自引率
0.00%
发文量
52
审稿时长
12 weeks
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