Translation, cross-cultural adaptation and validation of the Chinese version of supportive and palliative care indicators tool (SPICT-CH) to identify cancer patients with palliative care needs

对支持和姑息治疗指标工具(SPICT-CH)的中文版进行翻译、跨文化调适和验证,以识别有姑息治疗需求的癌症患者。

阅读:1

Abstract

INTRODUCTION: People diagnosed with cancer are the most frequent users of palliative care. However, there are no specific standards for early identifying patients with palliative care needs in mainland China. The Supportive and Palliative Care Indicators tool (SPICT) can identify patients with cancer who are in need of palliative care across healthcare settings. OBJECTIVE: To translate, cross-cultural adapt the SPICT and validate it among cancer patients with palliative care needs in a Chinese healthcare context. METHOD: We translated and culturally adapted the SPICT from English into Chinese, following both Beaton's and WHO's recommendations: (1) initial translation, (2) synthesis, (3) back translation, (4) expert committee review, and (5) pretest. The psychometric properties (e.g., content validity, internal consistency, and inter-rater reliability) were analyzed. Convenience sample was used to recruit 212 hospitalized cancer patients between January and August 2023. Their needs were assessed by two nurses within 24hours to determine the inter-rater reliability and stability of the Mandarin version of SPICT (SPICT-CH). RESULTS: All of 36 items were retained in response to expert review. The Scale-Content Validity Index/Ave (S-CVI/Ave) of the SPICT-CH was 0.98, demonstrating very strong content validity. The SPICT-CH exhibited good coherence (Cronbach's alpha = 0.76) and reliability (Kappa = 0.71, 95% CI 0.71-0.72, P < 0.05). CONCLUSION: The SPICT-CH has good content validity and acceptable reliability among cancer patients within a Chinese hospital setting. This instrument can be effectively integrated into routine clinical practice to early identify patients who need palliative care in mainland China.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。