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Record W7047937564

IMPACT of COVID-19 on hip fracture services: a global survey by the International Multicentre Project auditing COVID-19 in Trauma & Orthopaedics

2021· article· en· W7047937564 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsAuditHip fractureOrthopedic surgeryPandemicCoronavirus disease 2019 (COVID-19)Service (business)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

<div><b>Introduction:</b> The Coronavirus Disease 2019 (COVID-19) pandemic resulted in major disruption to hip fracture services. This frail patient group requires specialist care, and disruption to services is likely to result in increases in morbidity, mortality and long-term healthcare costs.</div><div><br></div><div><b>Aims:</b> To assess disruption to hip fracture services during the COVID-19 pandemic.</div><div><br></div><div><b>Methods:</b> A questionnaire was designed for completion by a senior clinician or service manager in each participating unit between April-September 2020. The survey was incorporated into existing national-level audits in Germany (n = 71), Scotland (n = 16), and Ireland (n = 16). Responses from a further 82 units in 11 nations were obtained via an online survey.</div><div><br></div><div><b>Results:</b> There were 185 units from 14 countries that returned the survey. 102/160 (63.7%) units reported a worsening of overall service quality, which was attributed predominantly to staff redistribution, reallocation of inpatient areas, and reduced access to surgical facilities. There was a high rate of redeployment of staff to other services: two thirds lost specialist orthopaedic nurses, a third lost orthogeriatrics services, and a quarter lost physiotherapists. Reallocation of inpatient areas resulted in patients being managed by non-specialised teams in generic wards, which increased transit of patients and staff between clinical areas. There was reduced operating department access, with 74/160 (46.2%) centres reporting a >50% reduction. Reduced theatre efficiency was reported by 135/160 (84.4%) and was attributed to staff and resource redistribution, longer anaesthetic and transfer times, and delays for preoperative COVID-19 testing and using personal protective equipment (PPE).</div><div><b><br></b></div><div><b>Conclusion:</b> Hip fracture services were disrupted during the COVID-19 pandemic and this may have a sustained impact on health and social care. Protection of hip fracture services is essential to ensure satisfactory outcomes for this vulnerable patient group.</div>

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0410.000

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 head0.087
GPT teacher head0.403
Teacher spread0.316 · 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 designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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