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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
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Evaluating qualitative data analysis workshops from the perspective of public contributors
Alice Moult1, Carmel McGrath2,3,4, Kate Lippiett5
1Impact Accelerator Unit, Keele University, Newcastle-under-Lyme, ST5 5BG, UK. a.moult@keele.ac.uk.
Research Involvement and Engagement
|September 28, 2024
Summary
Public contributors in qualitative data analysis workshops felt heard and led the agenda. This evaluation shows that patient and public involvement (PPI) can enhance research skills and discussions.
Area of Science:
- Health Services Research
- Qualitative Research Methods
- Patient and Public Involvement (PPI)
Background:
- Evaluating public contributors' experiences in qualitative data analysis workshops.
- Focus on the 'Personalised Primary care for Patients with Multiple long-term conditions' research project.
Purpose of the Study:
- To assess public contributors' engagement and experiences within qualitative data analysis workshops.
- To understand the effectiveness of the Cube evaluation framework in assessing PPI.
Main Methods:
- Conducted four qualitative data analysis workshops between August and December 2023.
- Utilized the Cube evaluation framework, assessing domains of voice, agenda, change, and contribution.
- Adapted workshop procedures based on public contributor feedback, particularly regarding Cube access.
Main Results:
- The Cube evaluation framework was completed 11 times across the four workshops.
- Public contributors reported feeling heard, having diverse contribution opportunities, and leading the agenda.
- Researchers actively responded to public contributor questions and concerns.
Conclusions:
- Public contributors demonstrated the ability to acquire new skills during the workshops.
- The study highlights that public contributors can effectively lead qualitative data analysis discussions.
- The evaluation supports the value of PPI in enhancing research processes and outcomes.
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