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Record W2189715044 · doi:10.12968/bjca.2015.10.12.610

Shocked and guilty, but highly motivated: Younger patients' experience post MI

2015· article· en· W2189715044 on OpenAlexaff
Gemma McAnirn, Lisa Lusk, Patrick Donnelly, Niall McKenna, Conal Hamill, Donna Fitzsimons

Bibliographic record

VenueBritish Journal of Cardiac Nursing · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineInterpretative phenomenological analysisRehabilitationMyocardial infarctionGriefFamily medicineQualitative researchPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

Background: Prevalence of myocardial infarction (MI) is increasing in younger patients. These patients have distinct needs post MI and are also the poorest attenders at cardiac rehabilitation (CR). Little is known about how younger patients come to terms with their diagnosis, evaluate their personal risk and motivate themselves for lifestyle change. Aim: The aim of the study is to explore the issues encountered by younger patients, who have families, as they attempt lifestyle changes post MI. Methods: A Heideggerian phenomenological methodology employing semi-structured interviews was used with participants (n=7), 6–8 weeks following discharge from hospital. All participants were diagnosed with an MI for the first time, were <50 years of age and had dependent children. Framework analysis was used to identify themes within the interviews. Results: Five major themes were identified: guilt, grief, disbelief, motivation for change, and family support and involvement in lifestyle change. Post MI, family responsibilities were a strong motivator for survival and lifestyle change. The participants were keen to live healthier lives, improve their risk profile and encourage others to do the same. Conclusion: This study confirms the importance of considering the patient's age and family responsibilities within the setting of preventative cardiology. A more patient-centred and tailored approach to CR is needed with younger patients to improve uptake owing to their lifestyle and family commitments. There is need for further research in the acceptability of the current provision of CR.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.307
Teacher spread0.288 · 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 designObservational
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

Citations8
Published2015
Admission routes1
Has abstractyes

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