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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 l...

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Autores principales: Powell, Catherine, Ismail, Hanif, Cleverley, Richard, Taylor, Andrew, Breen, Liz, Fylan, Beth, Alderson, Sarah L, Alldred, David P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369106/
http://dx.doi.org/10.1111/hex.13257
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author Powell, Catherine
Ismail, Hanif
Cleverley, Richard
Taylor, Andrew
Breen, Liz
Fylan, Beth
Alderson, Sarah L
Alldred, David P
author_facet Powell, Catherine
Ismail, Hanif
Cleverley, Richard
Taylor, Andrew
Breen, Liz
Fylan, Beth
Alderson, Sarah L
Alldred, David P
author_sort Powell, Catherine
collection PubMed
description 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.
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spelling pubmed-83691062021-08-23 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 Powell, Catherine Ismail, Hanif Cleverley, Richard Taylor, Andrew Breen, Liz Fylan, Beth Alderson, Sarah L Alldred, David P Health Expect Original Articles 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. John Wiley and Sons Inc. 2021-05-01 2021-08 /pmc/articles/PMC8369106/ http://dx.doi.org/10.1111/hex.13257 Text en © 2021 The Authors. Health Expectations published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Powell, Catherine
Ismail, Hanif
Cleverley, Richard
Taylor, Andrew
Breen, Liz
Fylan, Beth
Alderson, Sarah L
Alldred, David P
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369106/
http://dx.doi.org/10.1111/hex.13257
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