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癌症支持资源 - 西班牙语版:为讲西班牙语的西班牙裔和拉丁裔癌症患者开发一种痛苦筛查措施。

CancerSupportSource-Spanish: Development of a Distress Screening Measure for Spanish-Speaking Hispanic and Latino Individuals with Cancer.

作者信息

Fortune Erica E, Olson Julie S, Hendershot Kelly, Zaleta Alexandra K

机构信息

Research and Training Institute, Cancer Support Community, Philadelphia, PA, USA.

Cancer Support Community, Washington, DC, USA.

出版信息

Hisp Health Care Int. 2024 Dec;22(4):237-247. doi: 10.1177/15404153241230308. Epub 2024 Feb 28.

Abstract

CancerSupportSource (CSS), a distress screening and referral program, identifies unmet needs of people with cancer and links them to resources and support. We developed and validated a Spanish-language version (CSS-Spanish) to better serve Hispanic and Latino communities and promote health equity. The 25-item CSS-Spanish was created leveraging rigorous translation methods and cognitive interviews to ensure cultural relevance and topical breadth. A total of 210 Spanish-speaking Hispanic and Latino individuals completed CSS-Spanish and comparison measures. Psychometric analyses examined dimensionality and statistical validation, and determined scoring thresholds for depression and anxiety risk subscales. CSS-Spanish represented key concerns across five factors and exhibited strong internal consistency and test-retest reliability, convergent validity, and known-groups validity. Risk subscales demonstrated adequate sensitivity. CSS-Spanish is a reliable, valid multidimensional distress screener that rapidly assesses needs of Hispanic and Latino individuals. Embedded depression and anxiety risk flags can support staff in identifying those with high-acuity needs.

摘要

癌症支持资源(CSS)是一项痛苦筛查和转诊计划,旨在识别癌症患者未得到满足的需求,并将他们与资源和支持联系起来。我们开发并验证了西班牙语版本(CSS-西班牙语版),以更好地服务西班牙裔和拉丁裔社区,并促进健康公平。25项的CSS-西班牙语版是利用严格的翻译方法和认知访谈创建的,以确保文化相关性和主题广度。共有210名讲西班牙语的西班牙裔和拉丁裔个体完成了CSS-西班牙语版及相关对照测量。心理测量分析检验了维度和统计效度,并确定了抑郁和焦虑风险子量表的评分阈值。CSS-西班牙语版涵盖了五个因素的关键问题,表现出很强的内部一致性、重测信度、收敛效度和已知群体效度。风险子量表显示出足够的敏感性。CSS-西班牙语版是一个可靠、有效的多维痛苦筛查工具,可快速评估西班牙裔和拉丁裔个体的需求。嵌入式抑郁和焦虑风险标识可帮助工作人员识别有高需求的患者。

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