Patients as qualitative data analysts: Developing a method for a process evaluation of the ‘Improving the Safety and Continuity of Medicines management at care Transitions’ (ISCOMAT) cluster randomised control trial

Background How to meaningfully partner with patients as data analysts remains obscure. A process evaluation of the ‘Improving the Safety and Continuity Of Medicines management at care Transitions’ (ISCOMAT) cluster randomised control trial of an intervention for improving medicines use for people li...

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Bibliographic Details
Published in:Health expectations : an international journal of public participation in health care and health policy Vol. 24; no. 4; pp. 1254 - 1262
Main Authors: Powell, Catherine, Ismail, Hanif, Cleverley, Richard, Taylor, Andrew, Breen, Liz, Fylan, Beth, Alderson, Sarah L, Alldred, David P
Format: Journal Article
Language:English
Published: Oxford John Wiley & Sons, Inc 01.08.2021
John Wiley and Sons Inc
Wiley
Subjects:
Analysts
Appreciation
Clusters
Co-design
Communication
Community pharmacists
Congestive heart failure
Continuity
Data
Data analysis
Drugs
Ethics
Evaluation
Group dynamics
Heart failure
Intervention
Interviews
Medical ethics
Medical research
Meetings
Original
patient participation
Patient safety
Patient satisfaction
Patients
Personal safety
Pharmacists
Qualitative analysis
Qualitative research
Research design
Researchers
Rigour
Safety
Tokenism
Work at home
United Kingdom > UK
ISSN:1369-6513, 1369-7625
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Summary:Background How to meaningfully partner with patients as data analysts remains obscure. A process evaluation of the ‘Improving the Safety and Continuity Of Medicines management at care Transitions’ (ISCOMAT) cluster randomised control trial of an intervention for improving medicines use for people living with heart failure is being conducted. The intervention includes patient held information on heart medicines and care, enhanced communication between hospital and community pharmacists, and increased engagement of community pharmacists with patient care post‐hospital discharge. ISCOMAT patients living with heart failure were interviewed about experiences with the intervention. We sought to gain insights from patients on data collected to enhance our understanding of experiences with the intervention. Objective To develop a method for involving patients as analysts of qualitative data in a process evaluation. Design Patients and researchers co‐analysed qualitative data. A framework method was applied involving; familiarisation, coding, developing an analytical framework and interpretation. The process was facilitated through home working and a workshop with a training component. Results The co‐designed framework enabled researchers to map all further patient interview data. Patients' specialist knowledge enhanced understanding of how the ISCOMAT intervention can be best implemented. Conclusions Patients’ unique experiences can enhance validity and rigour in data analysis through sharing their interpretations of qualitative data. The involvement process is crucial in elucidating knowledge and avoiding tokenism. As analysts, patients gain an appreciation of research processes, building trust between researchers and patients. Group dynamics and involving patients throughout the whole research process are important considerations.
Bibliography:Funding information
Catherine Powell and Hanif Ismail should be considered joint first author.
This study is funded by the National Institute for Health Research (NIHR) [Programme Grants for Applied Research (Grant Reference Number RP‐PG‐0514‐20009)]. This research was supported by the National Institute for Health Research (NIHR) Yorkshire and Humber Patient Safety Translational Research Centre (NIHR Yorkshire and Humber PSTRC).
Patient participation in qualitative research: We describe a method to involve patients in qualitative data analysis. Patients’ participation enhances scientific value in a process assessment of a health‐care intervention for people living with heart failure.
ObjectType-Article-1
ObjectType-Evidence Based Healthcare-3
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1369-6513
1369-7625
DOI:10.1111/hex.13257