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建模弱势群体的健康差异和结果。

Modeling Health Disparities and Outcomes in Disenfranchised Populations.

机构信息

University of Delaware, 25 N. College Avenue, Newark, DE, 19716, USA.

School of Nursing, Duke University, 3027A Pearson Building, Durham, NC, 27710, USA.

出版信息

Community Ment Health J. 2019 Jan;55(1):9-23. doi: 10.1007/s10597-018-0326-9. Epub 2018 Aug 22.

Abstract

The Health Disparities and Outcomes (HDO) model originally created to explain the complexity of obtaining healthcare in rural settings has been revised and updated using emerging theoretical models of adversity and inequity and two decades of empirical work by the authors. With a strong orientation to explaining population-based health inequities, the HDO is applied to individuals with Serious Mental Illness (SMI), to explain their high rates of morbidity and mortality compared to the general population. Individual-, community-, and system-level factors that reflect an understanding of life-long risk, accrued hazards associated with multiple and intersecting disadvantages, and difficulty obtaining healthcare that meets accepted standards are described. The revised HDO can be applied to populations with disproportionate health challenges to identify multi-level factors that affect illness trajectory and overall health outcomes.

摘要

健康差异和结果(HDO)模型最初是为了解释在农村地区获得医疗保健的复杂性而创建的,后来经过修订和更新,纳入了逆境和不平等的新兴理论模型,以及作者们过去二十年来的实证研究。该模型具有很强的解释基于人群的健康不平等的倾向,适用于患有严重精神疾病(SMI)的个体,以解释他们与一般人群相比发病率和死亡率较高的原因。描述了反映对终身风险的理解、与多种和相互交叉的劣势相关的累积危害以及难以获得符合公认标准的医疗保健的个体、社区和系统层面的因素。经过修订的 HDO 可以应用于健康问题不成比例的人群,以确定影响疾病轨迹和整体健康结果的多层面因素。

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