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项目(倒感叹号)“成功!”:通过多样性和普遍性改善西班牙裔家庭护理患者的治疗效果。

Project (inverted exclamation mark)EXITO!: success through diversity and universality for outcomes improvement among Hispanic home care patients.

作者信息

Woerner Louise, Espinosa Javier, Bourne Susan, O'Toole Marie, Ingersoll Gail L

机构信息

Home Care of Rochester, 85 Metro Park, Rochester, NY 14623, USA.

出版信息

Nurs Outlook. 2009 Sep-Oct;57(5):266-73. doi: 10.1016/j.outlook.2009.02.001.

Abstract

The National Health Disparities Report notes that Hispanics have poorer quality of care in 23 of 38 core measures. The result of this disparity is great personal and health system costs, which could be reduced. Prior studies have focused on access and language. We studied outcomes improvement. The purpose of this project was to develop a replicable theory-based outcomes improvement model for delivery of nursing care to Hispanic patients. The Leininger Sunrise Enabler approach was used to design a program specific to the cultural needs of a home care population. Outcome and Assessment Information Set (OASIS) data from 125 unduplicated home care patients were tracked. Nursing care delivery was analyzed using ethnographic research techniques. Delivery of nursing care using a culturally congruent approach reduced acute hospitalization and emergent care visits. Medication management and customer and nursing satisfaction also improved. National standards for culturally and linguistically appropriate services in health care help reduce healthcare disparities, but improving Hispanic outcomes requires moving beyond symptoms and symptom management to transcultural care. The estimated savings to the health care system are significant.

摘要

《国家卫生差异报告》指出,在38项核心指标中,西班牙裔在23项指标上的护理质量较差。这种差异导致了巨大的个人和医疗系统成本,而这些成本是可以降低的。先前的研究集中在医疗服务可及性和语言方面。我们研究的是改善结果。本项目的目的是开发一种可复制的、基于理论的改善结果模型,用于为西班牙裔患者提供护理服务。采用莱宁格的日出促进模式来设计一个针对家庭护理人群文化需求的项目。对125名无重复的家庭护理患者的结果与评估信息集(OASIS)数据进行了跟踪。使用人种学研究技术分析护理服务的提供情况。采用文化一致的方法提供护理服务可减少急性住院和急诊就诊次数。药物管理以及客户和护理满意度也有所提高。医疗保健中文化和语言适当服务的国家标准有助于减少医疗保健差异,但要改善西班牙裔患者的结果,需要超越症状和症状管理,转向跨文化护理。据估计,这将为医疗系统节省大量资金。

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