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Record W2603083883 · doi:10.1155/2017/2171865

Patient Perspectives on Engagement in Recovery after Hip Fracture: A Qualitative Study

2017· article· en· W2603083883 on OpenAlexafffund
Joanie Sims‐Gould, Sarah Stott-Eveneshen, Lena Fleig, Megan M. McAllister, Maureen C. Ashe

Bibliographic record

VenueJournal of Aging Research · 2017
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchUniversity of British ColumbiaCentre for Hip Health and MobilityMichael Smith Health Research BC
KeywordsHip fractureMedicineRehabilitationQualitative researchPhysical therapyQuality of life (healthcare)Telephone interviewNursingOsteoporosis

Abstract

fetched live from OpenAlex

Purpose. To understand older adults’ engagement in their recovery experience and rehabilitation after a fall-related hip fracture. Method. 50 community-dwelling older adults recovering from a recent (3–12 months) hip fracture (32 women, 18 men) participated in telephone interviews using a semistructured format at 6 and 12 months after recruitment into the study. Interviews were conducted as part of a mixed-methods study designed to test the effect of a postoperative hip fracture management program (B4 Clinic). Results. Three substantive themes were identified in the qualitative data: (1) managing expectations; (2) engaging in physical activity; and (3) there is life after fracture. Participants shared valuable insight into how their expectations for their recovery period compared to their lived experience and the role of physical activity in their ability to return to their prefracture activities. Conclusions. Our findings reflect older adults’ expectations for recovery from hip fracture. Encouraging engagement in rehabilitative exercises and addressing expectations prior to hospital discharge may improve patients’ adherence to rehabilitation programs, functional outcomes, and postoperative quality of life. Implications for rehabilitation include the necessity for early and ongoing engagement of rehabilitation professionals.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0060.005
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.118
GPT teacher head0.501
Teacher spread0.383 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations65
Published2017
Admission routes2
Has abstractyes

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