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Group support for couples coping with a cardiac condition

2001· article· en· W2118444997 on OpenAlexaff
Moira Stewart, Karina W. Davidson, Darlene Meade, Alexandra Hirth, Patty Weld‐Viscount

Bibliographic record

VenueJournal of Advanced Nursing · 2001
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsDalhousie UniversityUniversity of Alberta
Fundersnot available
KeywordsSpouseSocial supportPeer supportIntervention (counseling)PsychologyPsychological interventionCoping (psychology)Support groupClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND/RATIONALE: Support groups of peers were designed to convey support specific to stressful situations encountered by persons with a first-time myocardial infarction and by their spouse or partners. There were no previous published support intervention studies focused on the couple. Survivors and spouses (n=28) participated in a pilot study which tested the effect of a 12-week support group intervention. DESIGN: The support groups for couples were cofacilitated by a peer and professional. The facilitators recorded field notes, while participants completed weekly diaries about the intervention activities. Following the intervention, participants were interviewed individually and facilitators were interviewed jointly about the perceived effect of the intervention and influencing factors. This article focuses on the facilitators' and participants' perceptions of intervention processes and outcomes. FINDINGS: Support processes in the group included social comparison, social learning, and social exchange. Three types of support--emotional, information, and affirmation--were provided. All participants were satisfied with the support intervention and referred to the positive effect on their coping, confidence, outlook, and spousal relationship. Factors that influenced the intervention effect were participant input, cofacilitation, similarity of group members, and the provision of information and support. CONCLUSIONS: Future interventions could consider similarity of peers, leadership, and optimum timing and duration.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.018
GPT teacher head0.372
Teacher spread0.354 · 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 designOther design
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

Citations84
Published2001
Admission routes1
Has abstractyes

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