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dc.contributor.authorPowell, Catherine
dc.contributor.authorIsmail, Hanif
dc.contributor.authorCleverley, R.
dc.contributor.authorTaylor, A.
dc.contributor.authorBreen, Liz
dc.contributor.authorFylan, Beth
dc.contributor.authorAlderson, S.L.
dc.contributor.authorAlldred, D.P.
dc.date.accessioned2021-05-06T15:15:30Z
dc.date.accessioned2021-05-20T10:30:08Z
dc.date.available2021-05-06T15:15:30Z
dc.date.available2021-05-20T10:30:08Z
dc.date.issued2021-08
dc.identifier.citationPowell C, Ismail H, Cleverley H et al (2021) 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. Health Expectations. 24(4): 1254-1262.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18483
dc.descriptionYesen_US
dc.description.abstractBackground: 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.en_US
dc.description.sponsorshipNIHR Grant RP-PG-0514-20009. NIHR Yorkshire and Humber Patient Safety Translational Research Centre.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1111/hex.13257en_US
dc.rights(c) 2021 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)en_US
dc.subjectPatient participationen_US
dc.subjectQualitative researchen_US
dc.subjectResearch designen_US
dc.titlePatients 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 trialen_US
dc.status.refereedYesen_US
dc.date.Accepted2021-03-27
dc.date.application2021-05-01
dc.typeArticleen_US
dc.type.versionPublished versionen_US
dc.date.updated2021-05-06T14:15:39Z
refterms.dateFOA2021-05-20T10:31:16Z
dc.openaccess.statusGolden_US


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