‘Send everyone, it’s my son’ – Combined Glaserian grounded theory and thematic analysis of paramedics attending their own families Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1177/27536386231178961
Introduction Medical clinicians treating relatives is ethically complex; in paramedicine, the time-critical nature of pathologies often precludes alternative treatment without risking morbidity or mortality. Aims This project had three aims: firstly, to retrieve baseline data for thematic analysis on the experiences of paramedics who have attended their own families; secondly, to generate explanatory grounded theory; and finally, to translate these findings into recommendations for practice. Methods Glaserian grounded theory and thematic analysis methods were both undertaken using a realist perspective. Acquiescence, wording, and habituation heuristics were mitigated in the interview design. There were 44 responses ( n = 93 instances of treating family), with 21 participants ( n = 34) from three countries interviewed. Saturation was determined using both Guest et al.'s and Thorne's criterion. Semantic and latent themes were generated inductively via a five-step process, with grounded theory generated simultaneously via a three-step Glaserian process. Cohen's kappa ranged from 0.82 to 0.93. Results Incidents were both traumatic (hangings, stabbings, traumatic arrests) and medical (paediatric arrests, cardiac arrests, overdoses). The core concept-category was ‘conflict between the roles of clinician and relative’. Paramedics reported a sympathetic hyperarousal response that they quickly suppressed, a rapid transition into ‘work mode’, and difficulty obtaining their normal state of flow, balancing dual roles as clinician and relative, transitioning out of work mode and into becoming a carer, and simultaneously processing the event. Organisational responses were frequently described as inadequate. Paramedics reported short-term experiences consistent with an acute stress response, and a large proportion suffered long-term, life-altering consequences. It is theorised that this phenomenon disrupts professional detachment, increases outcome self-expectations, interrupts normal routines, and promotes overmedicalisation. Conclusion This research provides baseline data and theory on the experiences of paramedics attending their own families. Five themes and 24 subthemes were identified, an explanatory theorem proposed, and a preliminary set of eight recommendations for translation into practice provided.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/27536386231178961
- https://journals.sagepub.com/doi/pdf/10.1177/27536386231178961
- OA Status
- bronze
- Cited By
- 3
- References
- 71
- Related Works
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- OpenAlex ID
- https://openalex.org/W4380882960
Raw OpenAlex JSON
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https://openalex.org/W4380882960Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1177/27536386231178961Digital Object Identifier
- Title
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‘Send everyone, it’s my son’ – Combined Glaserian grounded theory and thematic analysis of paramedics attending their own familiesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-16Full publication date if available
- Authors
-
Matt Wilkinson-Stokes, Merianne Kellermeier, Steve WhitfieldList of authors in order
- Landing page
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https://doi.org/10.1177/27536386231178961Publisher landing page
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https://journals.sagepub.com/doi/pdf/10.1177/27536386231178961Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://journals.sagepub.com/doi/pdf/10.1177/27536386231178961Direct OA link when available
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Grounded theory, Thematic analysis, Psychology, Medicine, Applied psychology, Social psychology, Qualitative research, Sociology, Social scienceTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2024: 1, 2023: 2Per-year citation counts (last 5 years)
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71Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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