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      Impacts of clinical academic activity: qualitative interviews with healthcare managers and research-active nurses, midwives, allied health professionals and pharmacists

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          Abstract

          Objectives

          To explore the perceived impacts of clinical academic activity among the professions outside medicine.

          Design

          Qualitative semistructured interviews.

          Setting and participants

          There were two groups of interviewees: Research-active nurses, midwives, allied health professionals, healthcare scientists, psychologists and pharmacists (NMAHPPs) and managers of these professions. All participants were employed in a single, multisite healthcare organisation in the UK.

          Analysis

          Interview transcripts were analysed using the framework method to identify key themes, subthemes and areas of divergence.

          Results

          Four themes were identified. The first, cultural shifts, described the perceived improvements in the approach to patient care and research culture that were associated with clinical academic activity. The second theme explored visibility and included the positive reputation that clinical academics were identified as bringing to the organisation in contrast with perceived levels of invisibility and inaccessibility of these roles. The third theme identified the impacts of the clinical academic pathways, including the precarity of these roles. The final theme explored making impact tangible, and described interviewees’ suggestions of possible methods to record and demonstrate impact.

          Conclusions

          Perceived positive impacts of NMAHPP clinical academic activity focused on interlinked positive changes for patients and clinical teams. This included delivery of evidence-based healthcare, patient involvement in clinical decision making and improved staff recruitment and retention. However, the positive impacts of clinical academic activity often centred around individual clinicians and did not necessarily translate throughout the organisation. The current clinical academic pathway was identified as causing tension between the perceived value of clinical academic activity and the need to find sufficient staffing to cover clinical services.

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          Most cited references41

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          Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

          Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
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            Using the framework method for the analysis of qualitative data in multi-disciplinary health research

            Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.
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              Saturation in qualitative research: exploring its conceptualization and operationalization

              Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have been collected or analysed hitherto, further data collection and/or analysis are unnecessary. However, there appears to be uncertainty as to how saturation should be conceptualized, and inconsistencies in its use. In this paper, we look to clarify the nature, purposes and uses of saturation, and in doing so add to theoretical debate on the role of saturation across different methodologies. We identify four distinct approaches to saturation, which differ in terms of the extent to which an inductive or a deductive logic is adopted, and the relative emphasis on data collection, data analysis, and theorizing. We explore the purposes saturation might serve in relation to these different approaches, and the implications for how and when saturation will be sought. In examining these issues, we highlight the uncertain logic underlying saturation—as essentially a predictive statement about the unobserved based on the observed, a judgement that, we argue, results in equivocation, and may in part explain the confusion surrounding its use. We conclude that saturation should be operationalized in a way that is consistent with the research question(s), and the theoretical position and analytic framework adopted, but also that there should be some limit to its scope, so as not to risk saturation losing its coherence and potency if its conceptualization and uses are stretched too widely.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2021
                7 October 2021
                : 11
                : 10
                : e050679
                Affiliations
                [1 ] departmentSurgery and Cancer , Imperial College London Faculty of Medicine , London, UK
                [2 ] departmentTherapies , Imperial College Healthcare NHS Trust , London, UK
                [3 ] departmentNursing Directorate , Imperial College Healthcare NHS Trust , London, UK
                Author notes
                [Correspondence to ] Dr Lisa Newington; l.newington@ 123456imperial.ac.uk
                Author information
                http://orcid.org/0000-0001-6954-2981
                http://orcid.org/0000-0003-1816-8939
                http://orcid.org/0000-0001-5789-2773
                Article
                bmjopen-2021-050679
                10.1136/bmjopen-2021-050679
                8499282
                34620661
                5a6e5939-e3a9-4242-8147-c25b0772e207
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 01 March 2021
                : 13 September 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100013342, NIHR Imperial Biomedical Research Centre;
                Award ID: P79998
                Categories
                Qualitative Research
                1506
                1725
                Original research
                Custom metadata
                unlocked

                Medicine
                qualitative research,education & training (see medical education & training),organisation of health services

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