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Record W2105766280 · doi:10.1111/jan.12499

The experiences of male sudden cardiac arrest survivors and their partners: a gender analysis

2014· article· en· W2105766280 on OpenAlexfundaboutno aff
Alan Uren, Paul Galdas

Bibliographic record

VenueJournal of Advanced Nursing · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsThematic analysisMasculinityHegemonic masculinityPsychologySocial supportMedicineQualitative researchClinical psychologySocial psychologySociology

Abstract

fetched live from OpenAlex

AIM: To explore how masculinities shape the experiences of men and their partners after survival from out-of-hospital cardiac arrest. BACKGROUND: Survivors of out-of-hospital cardiac arrest report depression, dependence on others for daily functioning, decreased participation in society and significant decreases in quality of life. There is growing evidence that masculine gender identities play a central role in the recovery experiences of men and their families following other major cardiac events. However, to date, there has been no examination of how masculinities shape men's experiences of recovery following out-of-hospital cardiac arrest. DESIGN: Interview study guided by an interpretive description approach. Data were subjected to thematic analysis. METHOD: A purposive sample of seven male sudden cardiac arrest survivors and 6 female partners was recruited in 2010 from a secondary care centre in British Columbia, Canada. RESULTS: Three themes were prominent in the experiences of the participants: (1) Support and self-reliance; (2) Dealing with emotional (in) vulnerability; and (3) No longer a 'He-man'. CONCLUSION: Masculinities played a role in men's experiences of recovery and adaptation following out-of-hospital cardiac arrest. Hegemonic masculinity partly explained men's experiences, notably their reluctance to seek professional support and reactions to changes in lifestyle. However, the study also suggests that the popular stereotype of men being 'strong and silent' in the face of ill-health may only be a part of a more complex story. Nurses would benefit from taking into consideration the potential influence of male gender identities on men's recovery postcardiac arrest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.311
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2014
Admission routes2
Has abstractyes

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