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Record W2070064251 · doi:10.1177/08964302014003005

Continuity of Care and Health Decline Associated With a Hip Fracture

2002· article· en· W2070064251 on OpenAlexaff
Marilyn Cree, Qian Yang, Anne Sclater, David Johnson, Keumhee C. Carrière

Bibliographic record

VenueJournal of Aging and Health · 2002
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsAlberta HealthGovernment of AlbertaUniversity of Alberta
Fundersnot available
KeywordsHip fractureMedicineCohortPsychological interventionPhysical therapyCohort studyHealth careGerontologyPsychiatryOsteoporosisInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Identify determinants of health decline associated with hip fracture with the goal of designing interventions. METHOD: Prefracture and postfracture information was obtained from participants aged 65-plus years fracturing a hip between July 1996 and August 1997. Health utilization data were linked to the cohort data and to an age-gender matched cohort of nonfracture seniors. RESULTS: Fracture patients were likely to have been hospitalized and have low continuity of care. Patients making frequent physician visits were at increased risk of both prefracture hospitalization and postfracture health decline. Prefracture hospitalization was less likely for patients with high physical function; patients of high mental status were less likely to experience postfracture health decline. DISCUSSION: Health appears to be in decline prefracture. Patients may benefit from continuous physician care to prevent further health deterioration. Some hip fractures can be prevented by identifying high-risk seniors at an early stage and intervening to prevent falls.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.033
GPT teacher head0.342
Teacher spread0.309 · 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 designObservational
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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

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