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The characteristics of stroke units in Ontario: a pan-provincial survey

2017· other· en· W6977310020 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2017
Typeother
Languageen
FieldPsychology
TopicLanguage Acquisition and Education
Canadian institutionsnot available
Fundersnot available
KeywordsStroke (engine)RehabilitationPopulationRespondentSnowball samplingDescriptive statisticsMultidisciplinary approach

Abstract

fetched live from OpenAlex

Abstract Background Previous studies have demonstrated that organized, multidisciplinary care is the cornerstone of current strategies to reduce the death and disability caused by stroke. Identification of stroke units and an understanding of their composition and operation would provide insight for the further actions required to improve stroke care. The objective of this study was to identify and survey stroke units in Canadaâ s largest province, Ontario (population of 13 million) in order to describe availability, structure, staffing, processes of care, and type of population stroke units serve. Methods The Ontario Stroke Network (2011) list of stroke units and snowball sampling was used to identify all stroke units. During 2013 â 2014 an interviewer conducted telephone surveys with the stroke unit managers using closed and semi-open ended questions. Descriptive statistics were used to summarize survey responses. Results The survey identified 32 stroke units, and a respondent from every stroke unit (100% response rate) was interviewed. Twenty one were acute stroke units, 10 were integrated stroke units and one was classified as a rehabilitation stroke unit. Stroke units were available in all 14 Local Health Integration Networks except Central West. The estimated average number of stroke patients served per stroke unit was 604 with six-fold variation (242 to 1480) across the province. The typical population served in stroke units were patients with either ischemic or hemorrhagic stroke. Data consistently reported on the processes of stroke care, including the availability of multidisciplinary staff, specific diagnostic imaging, use of validated assessment tools, and the delivery of patient education. Details about the core components of stoke care were provided by 16 stroke units (50%). Conclusions This study demonstrates the heterogeneous structure of stroke units in Ontario and signaled potential disparity in access to stroke units. Many core components are in place, but half of the stroke units in Ontario do not meet all criteria. Areas for potential improvement include stroke care training for the multidisciplinary team, provision of individualized rehabilitation plans, and early discharge assessment.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.616
Threshold uncertainty score0.999

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.5960.002

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 head0.328
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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