Exploring the use of emergency health services for stroke: what is known about when to seek emergency help and how transport decisions impact in-hospital emergency care
Bibliographic record
Abstract
Transport practices for seeking emergency stroke care remain largely underresearched and poorly understood, particularly for individuals living in small urban, rural, and remote regions. This multi-method study aims to address this knowledge gap and explores the impact of mode of transport on in-hospital stroke care and the decision-making process of seeking emergency medical attention for patients and their caregivers. Data from the Discharge Abstract Database provide information on stroke-related use of emergency health services across British Columbia. Data from the Canadian Institutes for Health Information Special Project 340 provide information on if calling emergency health services impacts the delivery of care, including the completion of neuroimaging, the administration of acute thrombolysis, and the prescription of antithrombotics upon discharge across a northern health region. Focused, semi-structured interviews provide contextual insight into the decision-making processes for seeking emergency stroke care among patient and caregiver participants in a northern health region. Stroke-related emergency health service use across British Columbia from January 2015 to March 2018 was 67.9% (N=19,849), ranging from 58.8% in Northern Health to 70.2% in Fraser Health. In Northern Health (N=784), there were differences between health service delivery areas for stroke-related emergency health service use ranging from 53.7% in the Northwest to 64.8% in the Northern Interior from January 2015 to March 2018. Similar differences in thrombolytic therapy administration and the prescription of antithrombotics were noted. The odds of emergency health service use were greater for those 65 years of age and older than those younger than 65 and lower for those in the Northwest health service delivery area than those in the Northern Interior health service delivery area. Differences were found for the completion of neuroimaging between males and females. Interviews for patient (n=12) and caregiver (n=7) participants provide complementary contextual insights and yielded three key themes, including the decision-making process following a stroke, experiences of care, and perceived gaps and areas in need of further support. This integrated knowledge translation-informed and practice-driven research addresses health services and policy priorities. Findings are anticipated to help inform the development and refinement of emergency health services in British Columbia by highlighting differences in emergency health services use across geographies and identifying factors that inform patient decisionmaking when seeking emergency medical attention.
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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 | 0.016 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".