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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| Veröffentlicht in: | Health expectations : an international journal of public participation in health care and health policy Jg. 24; H. 4; S. 1254 - 1262 |
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| Hauptverfasser: | , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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Oxford
John Wiley & Sons, Inc
01.08.2021
John Wiley and Sons Inc Wiley |
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| ISSN: | 1369-6513, 1369-7625 |
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| Abstract | 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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| AbstractList | Abstract 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. BackgroundHow 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.ObjectiveTo develop a method for involving patients as analysts of qualitative data in a process evaluation.DesignPatients 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.ResultsThe 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.ConclusionsPatients’ 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. 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. |
| Author | Alderson, Sarah L Cleverley, Richard Powell, Catherine Fylan, Beth Alldred, David P Taylor, Andrew Ismail, Hanif Breen, Liz |
| AuthorAffiliation | 4 NIHR Yorkshire and Humber Patient Safety Translational Research Centre Bradford Institute for Health Research Bradford UK 1 School of Pharmacy and Medical Sciences University of Bradford Bradford UK 3 Patient and Public Involvement Representative ISCOMAT Patient‐Led Steering Group Bradford UK 6 School of Healthcare University of Leeds Leeds UK 2 Wolfson Centre for Applied Health Research Bradford UK 5 Leeds Institute of Health Sciences University of Leeds Leeds UK |
| AuthorAffiliation_xml | – name: 2 Wolfson Centre for Applied Health Research Bradford UK – name: 5 Leeds Institute of Health Sciences University of Leeds Leeds UK – name: 6 School of Healthcare University of Leeds Leeds UK – name: 3 Patient and Public Involvement Representative ISCOMAT Patient‐Led Steering Group Bradford UK – name: 4 NIHR Yorkshire and Humber Patient Safety Translational Research Centre Bradford Institute for Health Research Bradford UK – name: 1 School of Pharmacy and Medical Sciences University of Bradford Bradford UK |
| Author_xml | – sequence: 1 givenname: Catherine orcidid: 0000-0001-7590-0247 surname: Powell fullname: Powell, Catherine email: c.powell2@bradford.ac.uk organization: Wolfson Centre for Applied Health Research – sequence: 2 givenname: Hanif orcidid: 0000-0002-7885-6648 surname: Ismail fullname: Ismail, Hanif organization: Wolfson Centre for Applied Health Research – sequence: 3 givenname: Richard surname: Cleverley fullname: Cleverley, Richard organization: ISCOMAT Patient‐Led Steering Group – sequence: 4 givenname: Andrew surname: Taylor fullname: Taylor, Andrew organization: ISCOMAT Patient‐Led Steering Group – sequence: 5 givenname: Liz orcidid: 0000-0001-5204-1187 surname: Breen fullname: Breen, Liz organization: Bradford Institute for Health Research – sequence: 6 givenname: Beth orcidid: 0000-0003-0599-4537 surname: Fylan fullname: Fylan, Beth organization: Bradford Institute for Health Research – sequence: 7 givenname: Sarah L orcidid: 0000-0002-5418-0495 surname: Alderson fullname: Alderson, Sarah L organization: University of Leeds – sequence: 8 givenname: David P orcidid: 0000-0002-2525-4854 surname: Alldred fullname: Alldred, David P organization: University of Leeds |
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| Cites_doi | 10.1177/1403494819863514 10.12688/f1000research.15162.1 10.1186/s40900-019-0156-0 10.1111/hex.13028 10.1136/bmjopen-2020-040493 10.1186/s12888-018-1794-8 10.1177/1363459312438563 10.1111/hex.12814 10.1186/s40900-016-0041-z 10.1177/1049732312448541 10.4135/9781412984591 10.1186/s40814-021-00819-x 10.1016/j.socscimed.2004.11.023 10.1136/bmj.i4550 10.1186/s13063-015-0667-4 10.1016/0147-1767(85)90062-8 10.1111/hex.13026 10.1186/1471-2288-13-117 10.1111/hex.12635 10.1186/s40900-018-0133-z |
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| Copyright | 2021 The Authors. published by John Wiley & Sons Ltd. 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Notes | 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 content type line 14 |
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How to meaningfully partner with patients as data analysts remains obscure. A process evaluation of the ‘Improving the Safety and Continuity Of... BackgroundHow to meaningfully partner with patients as data analysts remains obscure. A process evaluation of the ‘Improving the Safety and Continuity Of... Abstract Background How to meaningfully partner with patients as data analysts remains obscure. A process evaluation of the ‘Improving the Safety and... |
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| SubjectTerms | 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 |
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| 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 |
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