A proposal to embed patient and public involvement within qualitative data collection and analysis phases of a primary care based implementation study.

Autor: Moult, Alice, McGrath, Carmel, Lippiett, Kate, Coope, Caroline, Chilcott, Simon, Mann, Cindy, Evans, Nicola, Turner, Andrew, Dziedzic, Krysia, Portillo, M. C., Johnson, Rachel
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Zdroj: Research Involvement & Engagement; 5/31/2023, Vol. 9 Issue 1, p1-8, 8p
Abstrakt: Background: Patient and public involvement (PPI) is increasingly seen as essential to health service research. There are strong moral and ethical arguments for good quality PPI. Despite the development of guidance aimed at addressing the inconsistent reporting of PPI activities within research, little progress has been made in documenting the steps taken to undertake PPI and how it influences the direction of a study. Without this information, there are minimal opportunities to share learnings across projects and strengthen future PPI practices. The aim of this paper is to present details on the processes and activities planned to integrate PPI into the qualitative research component of a mixed-methods, multi-site study evaluating the implementation of a smart template to promote personalised primary care for patients with multiple long-term conditions. Methods: This proposal describes the processes and activities planned to integrate PPI into the development and piloting of qualitative data collection tools (topic guides for both practice staff and patients) and a tailored data analysis package developed for PPI members incorporating broad concepts and specific methods of qualitative data analysis. Discussion: Outputs relating to PPI activity may include clear, concise and suitably worded topic guides for qualitative interviews. Piloting of the topic guides via mock interviews will further develop researchers' skills including sensitisation to the experiences of participants being interviewed. Working with PPI members when analysing the qualitative data aims to provide reciprocal learning opportunities and may contribute to improving the overall rigour of the data analysis. The intent of publishing proposed PPI activities within this project is to inform the future delivery of high quality PPI. Plain English summary: Patient and public involvement (PPI) improves healthcare research, however, there is little published evidence of proposed PPI activities within a research study. The aim of this article is to describe the proposed PPI activities which are to be integrated into a study implementing a smart template to promote personalised care for people with multiple long-term conditions within primary care in the United Kingdom. The proposal describes the ways in which PPI members will be included within the data collection and analysis phases of a research study which includes interviews with primary care staff and patients. PPI members will be asked to develop questions for these interviews and to take part in a mock interview whereby a researcher interviews a PPI member. The proposal also provides details on qualitative data analysis workshops which will be specifically developed for PPI members. The impact of PPI activities could include clear, concise and suitably worded questions used within the interviews. Piloting of these questions via mock interviews may enable researchers to further develop their interviewing skills. It is anticipated that involving PPI members when analysing qualitative data will provide opportunities for reciprocal learning and lead to rich interpretations of the data, inclusive of the PPI members' perspectives. Publishing a record of planned PPI activities and potential impacts demonstrates the rationale and considerations made by the team to ensure that involvement in this study is meaningful and has potential benefits for all involved. The team hopes this proposal will support others with the planning and delivery of PPI activities. In future publications, we will reflect on the learnings, challenges, and outcomes from the PPI activities detailed in this proposal. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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