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Record W4401411938 · doi:10.1093/ageing/afae139.105

2358 Evaluation of a novel screening protocol for respiratory viral infections in long-term care homes

2024· article· en· W4401411938 on OpenAlexaffabout
Emily Devereaux, Caroline King, Samantha A. Meeker, Kenneth Rockwood

Bibliographic record

VenueAge and Ageing · 2024
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsDalhousie UniversityNova Scotia Health Authority
Fundersnot available
KeywordsMedicineDeliriumPublic healthProtocol (science)Coronavirus disease 2019 (COVID-19)Intensive care medicineGerontologyPediatricsInternal medicineAlternative medicinePathologyDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Abstract Introduction Respiratory viral illnesses (RVI) pose a serious threat to LTC residents. Those with frailty often experience non-specific presentations causing delayed diagnosis and treatment of infection. To facilitate early RVI detection, a screening protocol was developed to evaluate changes in cognitive and functional status of LTC residents using the Single Question in Delirium (SQiD) with new Single Question in Functioning (SQiF) and Single Question in Reduced Mobility (SQiRM). This study aims to address: (i) If novel (SQiD/SQiF/SQiRM) screening was superior to public health in detecting COVID-19 in LTC, and; (ii) Did combining the novel and public health screening improve detection of COVID-19. Methods The novel screening protocol was integrated into daily screening for RVI at three LTC homes in Nova Scotia, Canada. Daily assessments were recorded in consenting residents. If any of the novel protocol was positive, the 4As Test (4AT) and Hierarchal Assessment of Balance and Mobility (HABAM) were evaluated and a positive 4AT and/or HABAM triggered an RVI swab for COVID-19. Area under the curve (AUC,) sensitivity and specificity analysis using PCR tests as the reference criterion was utilised. Between October 2021 to February 2024, 378 LTC residents consented to participate, resulting in 142 positive COVID-19 PCR tests. Preliminary results show public health screening had a sensitivity of 68.3%, specificity of 52.1% and AUC of 0.60. Novel protocol exhibited sensitivity of 12.0%, specificity of 85.2% and AUC of 0.49. Combining public health and novel screening yielded a sensitivity of 80.3%, specificity of 32.3% with a AUC of 0.59. Conclusions Preliminary results suggest that incorporating public health and novel protocol screening for daily RVI assessments in LTC is advantageous. Predictive accuracy is slightly less with combined screening, but sensitivity of the combined screening protocols remains high. Other information Ethical approval obtained from Nova Scotia Health Research Ethics Board # 1026558.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.076
GPT teacher head0.400
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes2
Has abstractyes

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