Development of meta-inferences using joint displays in mixed-methods nursing research: An illustrative study of an evidence-based practice educational intervention

IF 1.5 Q4 HEALTH POLICY & SERVICES
Janina Wittmann, Gero Langer, Almuth Berg
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Abstract

Background

Mixed-methods research enables comprehensive evaluation of complex nursing phenomena, yet its application remains limited, particularly regarding the systematic integration of qualitative and quantitative data. Using an illustrative study of an evidence-based practice (EBP) educational intervention, this article presents a structured data integration process supported by joint displays to derive meta-inferences.

Methods

The EBP educational intervention was conducted at a regional hospital in Germany with nurses and comprised four structured workshops along with a practical assignment. A convergent parallel mixed-methods design was applied for evaluation. Qualitative data were collected via a group interview, and quantitative data were used to assess self-efficacy using the Evidence-based Practice Confidence (EPIC) scale pre- and post-intervention. Data integration followed a four-step process: thematic coding, identification of thematic complexes, condensation, and derivation of meta-inferences. Formative and summative joint displays facilitated systematic comparison and visualisation of convergence, divergence, and complementarity between data strands.

Results

The integration process identified four thematic complexes: integration of the patient perspective, practical implementation, heterogeneous prior knowledge, and role clarity. Joint displays enabled transparent and iterative comparison of qualitative and quantitative findings, supporting the derivation of nuanced meta-inferences and a structured presentation of findings. This approach highlighted how the educational intervention interacted with existing roles, prior knowledge, and contextual conditions relevant to the implementation of EBP.

Conclusions

Different types of meta-inferences illustrated the depth achievable through integration. Joint displays enhanced structured integration, methodological transparency, and reflective interpretation. They provide a pragmatic and rigorous approach to integrating qualitative and quantitative data in nursing research.
在混合方法护理研究中使用联合显示的元推断的发展:一项基于证据的实践教育干预的说明性研究。
背景:混合方法研究可以对复杂的护理现象进行综合评价,但其应用仍然有限,特别是在定性和定量数据的系统整合方面。通过对循证实践(EBP)教育干预的说明性研究,本文提出了一个由联合显示支持的结构化数据集成过程,以得出元推论。方法:EBP教育干预在德国一家地区医院进行,由护士组成,包括四个结构化讲习班和一个实际作业。采用收敛并行混合方法设计进行评价。通过小组访谈收集定性数据,并使用基于证据的实践信心量表(EPIC)评估干预前后的自我效能感。数据集成遵循四步过程:主题编码、主题复合体的识别、凝聚和元推理的推导。形成性和总结性的联合展示促进了数据链之间的趋同、差异和互补性的系统比较和可视化。结果:整合过程确定了四个主题复合体:整合患者观点、实际实施、异质先验知识和角色清晰度。联合展示使定性和定量结果的比较透明和迭代,支持细致入微的元推论的推导和结果的结构化呈现。该方法强调了教育干预如何与现有角色、先验知识和与实施EBP相关的情境条件相互作用。结论:不同类型的元推论说明了整合所能达到的深度。联合展示增强了结构整合、方法透明度和反思性解释。他们提供了一种务实和严谨的方法来整合护理研究中的定性和定量数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.90
自引率
18.20%
发文量
129
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