Abstract
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.
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.
| Original language | English |
|---|---|
| Article number | 37 |
| Journal | Research Involvement and Engagement |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 31 May 2023 |
Bibliographical note
Funding Information:The wider Personalised Primary care for Patients with Multiple Long-term conditions (PP4M) study in which this Public and Patient Involvement (PPI) work is embedded is funded by the National Institute for Health and Care Research (NIHR) Applied Research Collaboration (ARC) Multiple Long-Term Conditions Implementation Programme’ and ‘This research was supported by NIHR ARC West, NIHR ARC Wessex, NIHR ARC West Midlands, NIHR ARC South West Peninsula. KD is part funded by the National Institute for Health and Care Research (NIHR) Applied Health Research Collaboration (ARC) West Midlands (NIHR 200165) and is an NIHR Senior Investigator (ID NIHR 200259). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. CM is funded by the School for Primary Care Research.
Funding Information:
The views expressed are those of the author(s) and not necessarily those of the National Health Service, the NIHR, or the Department of Health and Social Care. The authors acknowledge the help and support of each public contributor for their time and efforts throughout the duration of this work. Carmel McGrath acknowledges support from the NIHR Health Protection Research Unit in Behavioural Science and Evaluation at University of Bristol. Carmel McGrath’s time is supported by the National Institute for Health and Care Research Applied Research Collaboration West (NIHR ARC West).The authors would also like to acknowledge Professor Chris Salisbury one of the chief investigators for the PP4M study in which this PPI work is integrated.
Publisher Copyright:
© 2023, The Author(s).