MétaCan
Menu
Back to cohort
Record W2789067806 · doi:10.1177/1049732318755675

“Life Goes On.” Everyday Tasks, Coping Self-Efficacy, and Independence: Exploring Older Adults’ Recovery From Hip Fracture

2018· article· en· W2789067806 on OpenAlexaff
Dolores Langford, Nicola Edwards, Samantha M. Gray, Lena Fleig, Maureen C. Ashe

Bibliographic record

VenueQualitative Health Research · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of British ColumbiaVancouver Coastal Health
Fundersnot available
KeywordsCoping (psychology)Hip fractureEveryday lifePsychologyIndependence (probability theory)Qualitative researchPsychotherapistGerontologyDevelopmental psychologyClinical psychologyMedicineSociologyOsteoporosisPolitical science

Abstract

fetched live from OpenAlex

Older adults face many challenges in the first few months after hip fracture. Rehabilitation holds promise to assist the recovery process. Therefore, we used semistructured interviews to explore older adults' and allied health professionals' acceptance of a rehabilitation intervention for hip fracture, and we described perceptions of the early recovery period (<4 months). Interviews were recorded and transcribed verbatim; three authors independently read the transcripts multiple times and together developed themes guided by Interpretive Description. Older adults described the intervention as acceptable and provided valuable feedback for its future implementation. Older adults also provided reflections on their experience of fracture recovery. Themes that emerged included physical limitations and loss of independence, the long recovery time, and coping with additional complications of living with multimorbidity. To overcome challenges, older adults identified the need for social support and physical activity, balanced by their own personal outlook.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.299
GPT teacher head0.539
Teacher spread0.239 · 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

Citations44
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueQualitative Health ResearchSame topicCardiac Health and Mental HealthFrench-language works237,207