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Record W2999058909 · doi:10.1177/10497323211005431

Being Uncertain: Rural-Living Cardiac Patients’ Experience of Seeking Health Care

2021· article· en· W2999058909 on OpenAlexaff
Erin Lowe, Davina Banner, Andrew Estefan, Kathryn King‐Shier

Bibliographic record

VenueQualitative Health Research · 2021
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of Northern British ColumbiaRed Deer PolytechnicUniversity of Calgary
Fundersnot available
KeywordsMedicineSocial supportRural areaHealth careRehabilitationQualitative researchDiseaseMyocardial infarctionNursingQuality of life (healthcare)GerontologyFamily medicinePsychologyPsychiatryPhysical therapySocial psychology

Abstract

fetched live from OpenAlex

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide. Secondary prevention strategies reduce disease progression to heart failure. Rural cardiac patients typically have less access to health care resources to support them in managing secondary prevention, and services to improve quality of life tend to be lacking in rural settings. The study aim was to examine the process that rural cardiac patients go through to access health care and cardiac rehabilitation (CR) following myocardial infarction (MI). In-depth interviews with 11 post-MI participants using Straussian grounded theory were undertaken. Analysis revealed a linear process from hospital discharge to maintaining health. There were five elements: comfort with health information, relationship with health care providers, social support, taking ownership, and availability of/for CR. The core category was "being uncertain." Findings can be used to identify ways to improve access and address uncertainty stemming from a lack of perceived information and supports following discharge.

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)0.009
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.425
GPT teacher head0.609
Teacher spread0.184 · 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.

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

Citations6
Published2021
Admission routes1
Has abstractyes

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