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Record W4307380150 · doi:10.1177/23969873221126027

Translation of nurse-initiated protocols to manage fever, hyperglycaemia and swallowing following stroke across Europe (QASC Europe): A pre-test/post-test implementation study

2022· article· en· W4307380150 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Stroke Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersEuropean Stroke Organisation
KeywordsMedicineAuditTest (biology)Stroke (engine)Protocol (science)SwallowingNursingSurgeryAccountingBusinessAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Introduction: Poor adoption of stroke guidelines is a problem internationally. The Quality in Acute Stroke Care (QASC) trial demonstrated significant reduction in death and disability with facilitated implementation of nurse-initiated protocols to manage fever, hyperglycaemia and swallowing (FeSS Protocols) following stroke. We aimed to determine real-world effectiveness of supported implementation of the FeSS Protocols across Europe. Methods: This was a multi-country, multi-centre, pre-test/post-test study (2017–2021) comparing post implementation data with historically collected pre-implementation data. Hospital clinical champions, supported by the Angels Initiative conducted multidisciplinary workshops discussing pre-implementation medical record audit results, barriers and facilitators to FeSS Protocol implementation, developed action plans and provided education, with ongoing support co-ordinated remotely from Australia. Prospective audits were conducted 3-month after FeSS Protocol introduction. Pre-to-post analysis and country income classification comparisons were adjusted for clustering by hospital and country controlling for age/sex/stroke severity. Results: Data from 64 hospitals in 17 countries (3464 patients pre-implementation and 3257 patients post-implementation) showed improvement pre-to-post implementation in measurement recording of all three FeSS components, all p < 0.0001: fever elements (pre: 17%, post: 51%; absolute difference 33%, 95% CI 30%, 37%); hyperglycaemia elements (pre: 18%, post: 52%; absolute difference 34%; 95% CI 31%, 36%); swallowing elements (pre: 39%, post: 67%; absolute difference 29%, 95% CI 26%, 31%) and thus in overall FeSS Protocol adherence (pre: 3.4%, post: 35%; absolute difference 33%, 95% CI 24%, 42%). In exploratory analysis of FeSS adherence by countries’ economic status, high-income versus middle-income countries improved to a comparable extent. Discussion and conclusion: Our collaboration resulted in successful rapid implementation and scale-up of FeSS Protocols into countries with vastly different healthcare systems.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.348
Teacher spread0.319 · 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