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‘If it was osteoporosis, I would have really hurt myself.’ Ambiguity about osteoporosis and osteoporosis care despite a screening programme to educate fragility fracture patients

2010· article· en· W2090029194 on OpenAlexaff
Joanna E. M. Sale, Dorcas Beaton, R. Sujic, Earl R. Bogoch

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2010
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsOsteoporosisMedicineFragility fractureFocus groupPhysical therapyFamily medicineDiseaseBone mineralInternal medicine

Abstract

fetched live from OpenAlex

RATIONALE, AIMS AND OBJECTIVES: Behaviour change models suggest that people need clear information about their susceptibility to disease and knowledge of treatment recommendations in order to change their behaviour. The purpose of this qualitative study was to examine fracture patients' understanding of osteoporosis (OP) and OP care after being screened for, and educated about, OP in a fracture clinic. METHODS: We conducted five focus groups with 24 patients (18 women, six men) aged 47-80 years old who were screened for OP through an urban fracture clinic. Participants were asked about their awareness of OP and their status of bone mineral density (BMD) testing and OP treatment. RESULTS: Twenty participants vocalized at least one expression of ambiguity regarding OP and/or treatment recommendations conveyed by the screening programme staff. Participants were ambiguous about the cause of their fracture, the BMD test process and results, and the presentation of OP. They were also ambiguous about the amount and type of medication and supplements recommended. CONCLUSIONS: Despite a standardized screening programme in which OP was addressed in fragility fracture patients, ambiguity about diagnosis, testing and treatment were described. Efforts to clarify information relayed to fracture patients about their condition and recommended care need to extend beyond the fracture clinic so that health care providers can promote long-term adherence to these recommendations.

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)0.028
metaresearch head score (Gemma)0.102
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.102
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.007
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 head0.080
GPT teacher head0.479
Teacher spread0.399 · 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; both teacher heads agree on what is shown here.

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

Citations40
Published2010
Admission routes1
Has abstractyes

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