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疼痛治疗中复杂干预措施的结构与过程评估:以POET-疼痛为例的一种方法学描述

[Structure and process evaluation of complex interventions in pain therapy : Description of a methodological approach using the example of POET-Pain].

作者信息

Gnass Irmela, Berger Stefanie, Schürholz Nina, Kaiser Ulrike, Schäfer Axel, Schnabel Alexander, Pogatzki-Zahn Esther, Nestler Nadja

机构信息

Institut für Pflegewissenschaft und -praxis, Paracelsus Medizinische Privatuniversität, Strubergasse 21, 5020, Salzburg, Österreich.

Klinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Schleswig-Holstein, Deutschland.

出版信息

Schmerz. 2025 Feb;39(1):35-42. doi: 10.1007/s00482-024-00850-w. Epub 2024 Dec 10.

Abstract

To evaluate the quality of care, particularly in the case of new forms of healthcare interventions, the healthcare services to be provided are defined and documented in advance. The presented explanatory sequential mixed methods design combines quantitative and qualitative data collection and the analysis enables a deeper understanding of a new healthcare intervention. Using the example of the POET-Pain project, which investigates the effect of a perioperative transitional pain service (TPS), the methodological application of the explanatory sequential mixed methods design is demonstrated in order to present the structural and process evaluation of the new healthcare intervention (in this case TPS) and to understand its influence on the quality of care. The mixed methods design presented enables the results of the quantitative phase to be interpreted and expanded in depth using qualitative data, which leads to a comprehensive understanding of the subject matter (second pillar of health services research).

摘要

为评估医疗服务质量,尤其是在新型医疗干预措施的情况下,需预先定义并记录拟提供的医疗服务。本文提出的解释性序列混合方法设计结合了定量和定性数据收集,其分析能够更深入地理解一种新型医疗干预措施。以POET-疼痛项目为例,该项目研究围手术期过渡性疼痛服务(TPS)的效果,展示了解释性序列混合方法设计的方法应用,以呈现新型医疗干预措施(在本例中为TPS)的结构和过程评估,并了解其对医疗服务质量的影响。所提出的混合方法设计能够利用定性数据对定量阶段的结果进行深入解读和拓展,从而全面理解该主题(卫生服务研究的第二个支柱)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e6d/11785641/20cfb6390b69/482_2024_850_Fig1_HTML.jpg

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