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Record W2602858519 · doi:10.1017/s0714980817000095

Older Adult Spouses with Multiple Chronic Conditions: Challenges, Rewards, and Coping Strategies

2017· article· fr· W2602858519 on OpenAlexaff
Shelley Peacock, Bharati Sethi, Allison Williams, Wendy Duggleby, Melanie Bayly, Jenny Swindle, Jenny Ploeg, Maureen Markle‐Reid

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2017
Typearticle
Languagefr
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsMcMaster UniversityThe King's UniversityUniversity of AlbertaUniversity of Saskatchewan
Fundersnot available
KeywordsHumanitiesPsychologySociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

RÉSUMÉ Un manque de recherche explore comment les conjoints des personnes âgées avec de multiples affections chroniques confèrent un sense à leur expérience de la prestation de soins. Dans le cadre de cette étude, nous avons posé la question suivante: Quelle est l’expérience des aidants naturels pour les personnes atteintes de maladies chroniques multiples ? Nous avons appliqué l’approche descriptive interprétative de Thorne, en interviewant 18 conjoints qui ont fourni une riche description de leurs expériences de soins; les entrevues ont été transcrites textuellement et analysées thématiquement. Les thèmes ont été catégorisés en fonction des difficultés rencontrées, des récompenses obtenues et des stratégies de soutien employées par les participants à la prestation de soins pour les conjoints souffrant de maladies chroniques multiples. Les résultats uniques portent sur les défis inhérents à la prise de décision dans le contexte de maladies chroniques multiples. Cet article commence à combler l’écart dans la littérature sur l’expérience des soins dans le contexte de multiples maladies chroniques.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.262
Teacher spread0.240 · 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 designNot applicable
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

Citations28
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicChronic Disease Management StrategiesFrench-language works237,207