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将积极偏差概念应用于公共卫生数据:减少健康差距的一种工具。

Applying the concept of positive deviance to public health data: a tool for reducing health disparities.

作者信息

Walker Lorraine O, Sterling Bobbie Sue, Hoke Mary M, Dearden Kirk A

机构信息

School of Nursing, University of Texas at Austin, Austin, Texas 78701-1499, USA.

出版信息

Public Health Nurs. 2007 Nov-Dec;24(6):571-6. doi: 10.1111/j.1525-1446.2007.00670.x.

DOI:10.1111/j.1525-1446.2007.00670.x
PMID:17973735
Abstract

The concept of positive deviance (PD), which highlights uncommon practices that reduce risk in low-resource communities, has been effective in community mobilization and programming to improve health outcomes. We present a protocol for extending the concept to analysis of existing public health data. The protocol includes assessing whether PD fits the situation, identifying positive deviants, and identifying behaviors associated with positive deviants' healthy outcomes. Analyzing existing datasets from a PD perspective may aid public health nurses in efforts to reduce health disparities. The effectiveness of our protocol will be clarified in future research.

摘要

积极偏差(PD)的概念强调了在资源匮乏社区中降低风险的罕见做法,在社区动员和规划以改善健康结果方面已取得成效。我们提出了一项将该概念扩展到现有公共卫生数据分析的方案。该方案包括评估PD是否适合具体情况、识别积极偏差者以及识别与积极偏差者健康结果相关的行为。从PD角度分析现有数据集可能有助于公共卫生护士减少健康差距。我们方案的有效性将在未来研究中得到阐明。

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