从公众参与者的角度评估定性数据分析研讨会。

Evaluating qualitative data analysis workshops from the perspective of public contributors.

作者信息

Moult Alice, McGrath Carmel, Lippiett Kate, Coope Caroline, Turner Andrew, Chillcott Simon, Parton Linda, Holloway Pam, Dace Sally, Gibson Andy, Jinks Clare, Paskins Zoe, Portillo Mari Carmen, Mann Cindy, Dziedzic Krysia

机构信息

Impact Accelerator Unit, Keele University, Newcastle-under-Lyme, ST5 5BG, UK.

NIHR Health Protection Research Unit in Behavioural Science and Evaluation, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

出版信息

Res Involv Engagem. 2024 Sep 27;10(1):99. doi: 10.1186/s40900-024-00628-5.

DOI:10.1186/s40900-024-00628-5

PMID:39334502

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11429467/

Abstract

BACKGROUND

The aim of this project is to evaluate public contributors' experiences of their involvement in qualitative data analysis workshops during an on-going research project titled 'Personalised Primary care for Patients with Multiple long-term conditions'.

METHODS

Four qualitative data analysis workshops were designed and conducted between August and December 2023. We used the Cube evaluation framework (henceforth referred to as the Cube) to evaluate the workshops. The Cube suggests four domains for successful PPI (voice, agenda, change, contribute).Within Workshops One, Two and Three public contributors had to login to an account to access the Cube; this was modified in Workshop Four following feedback from public contributors.

FINDINGS

Across the four workshops the Cube was completed 11 times. Across all four workshops, public contributors thought that their voice was heard, that there were diverse ways to contribute and that they led the agenda. Public contributors thought that researchers responded to their questions and issues, when necessary.

CONCLUSION

This evaluation has shown that public contributors can gain new skills and lead qualitative data analysis discussions.

摘要

背景

本项目旨在评估公众参与者在一个名为“为患有多种长期疾病的患者提供个性化初级护理”的正在进行的研究项目中参与定性数据分析研讨会的经历。

方法

2023年8月至12月期间设计并举办了四次定性数据分析研讨会。我们使用立方体评估框架（以下简称“立方体”）来评估这些研讨会。立方体提出了成功的公众参与研究（声音、议程、变革、贡献）的四个领域。在第一、二和三次研讨会中，公众参与者必须登录账户才能访问立方体；根据公众参与者的反馈，第四次研讨会对此进行了修改。