Supportive and palliative care indicators tool (SPICT™): content validity, feasibility and pre-test of the Italian version

支持和姑息治疗指标工具(SPICT™):意大利语版的内容效度、可行性和预测试

阅读:1

Abstract

BACKGROUND: Difficulties in identifying patients at risk of clinical deterioration or death represent one of the main barriers to Palliative Care (PC) development in the community. Currently, no specific Italian tools aimed at identifying patients with PC needs are available. Of the different European tools available, the SPICT™ can be used easily in any kind of setting and does not include the Surprise Question. The purpose of the study was to translate, cross-culturally adapt and pre-test the Italian version of the SPICT™. METHODS: The Beaton recommendations for the cross-cultural adaptation of instruments were followed. Content validity was assessed using the Lynn method. A sample of Italian General Practitioners (GPs) assessed the SPICT-IT™ for feasibility and tested it. RESULTS: During the cross-cultural adaptation, some issues regarding semantic, experiential, idiomatic and conceptual equivalences were raised and resolved. The Scale-Content Validity Index/Ave was 0.86. Of the 907 GPs included in the sample, 71 (7.8%) agreed to test the SPICT-IT™ and to assess its feasibility. The participants provided care for 73,526 people in the community. Of these people, 1.7% (N = 1303) were identified as being in need of PC according to the SPICT-IT™. Sixty-six (93.0%) GPs stated they would use the SPICT-IT™ in their daily clinical practice. CONCLUSIONS: The SPICT-IT™ demonstrated acceptable content validity. The percentage of patients identified through the SPICT-IT™ was comparable to findings from literature. The next phase of this project will investigate the impact of a proactive training programme aimed at supporting GPs in identifying patients with PC needs and delivering appropriate Primary Palliative Care (PPC).

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。