IMPACT of COVID-19 on hip fracture services: a global survey by the International Multicentre Project auditing COVID-19 in Trauma & Orthopaedics
Bibliographic record
Abstract
Introduction: 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. Aims: To assess disruption to hip fracture services during the COVID-19 pandemic. Methods: 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. Results: 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). Conclusion: 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".