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Record W4243476282 · doi:10.21203/rs.2.12117/v2

Orthopaedic Surgeons Perceptions of Frailty and Frailty Screening

2019· preprint· en· W4243476282 on OpenAlexafffund
Mandy M. Archibald, Michael Lawless, Tiffany K. Gill, Mellick Chehade

Bibliographic record

VenueResearch Square · 2019
Typepreprint
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsUniversity of Manitoba
FundersMedical Research CouncilCanadian Institutes of Health ResearchResthaven Incorporated
KeywordsMedicineThematic analysisContext (archaeology)GerontologyGeriatricsQualitative researchMEDLINEExploratory researchPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Over the past decade, there has been significant growth in the awareness and understanding of fragility among orthopaedic surgeons in the context of osteoporotic fractures and with it, improvements in the recognition and management of fragility fractures. Emerging as a major clinical and research focus in aged care is the concept of frailty and its associations with fragility, sarcopenia, falls and rehabilitation. Currently, research is lacking on how orthopaedic surgeons perceive frailty and the role of frailty screening. A baseline understanding of these perceptions is needed to inform integration of frailty identification and management for patient optimization in orthopaedic practices, as well as research and education efforts of patients and healthcare professionals in orthopaedic contexts. Methods We used an exploratory design guided by qualitative description to conduct 15 semi-structured telephone and in-person interviews across three orthopaedic surgeon subgroups (Registrars, Junior and Senior Consultants). Data collection and analysis occurred iteratively and was guided by thematic saturation. Results Orthopaedic surgeons have a disparate understanding of frailty. Between colleagues, frailty is often referred to non-specifically to suggest a general state of risk to the patient. Frailty screening is regarded positively but its specific utility in orthopaedic environments is questioned. Easy-to-administer frailty screening tools that are not exclusive assessments of functional status are viewed most satisfactorily. However these tools are rarely used. Conclusions There is little understanding among orthopaedic surgeons of frailty as a phenotype. Beliefs around modifiability of frailty were dissimilar as were the impact of related risk factors, such a cognitive status, chronic disease, social isolation, and environmental influences. This in turn may significantly impact on the occurrence and treatment outcomes of fragility fracture, a common orthopaedic problem in older populations. This study highlights need for knowledge translation efforts (e.g. education) to achieve cohesive understanding of frailty among health 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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.114
GPT teacher head0.418
Teacher spread0.304 · 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 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

Citations3
Published2019
Admission routes2
Has abstractyes

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