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Record W2964083412

Exploring clinical outcomes of acute ischemic stroke following a door-to-needle quality improvement project

2017· dissertation· en· W2964083412 on OpenAlexaboutno aff
Susan Alcock

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIschemic strokeStroke (engine)Quality managementEmergency medicineInternal medicineEngineeringOperations managementIschemiaMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Background: The incidence of stroke is increasing; therefore, ongoing strategies to improve patient outcomes are needed. Timely care is an essential component of hyperacute stroke care. The earlier eligible stroke patients receive intravenous recombinant tissue plasminogen activator (rt-PA) in the narrow 4.5-hour window, the greater the likelihood of a good clinical outcome. In 2011, based on sub-optimal performance results, our centre invested in a door-to-needle (DTN) quality improvement initiative, which focused on performance feedback, stroke education, and improved workflow processes. The primary aim of this thesis study was to determine if clinical outcomes in stroke patients improved following the DTN quality improvement initiative. Methods: Guided by the Donabedian framework, we retrospectively reviewed charts of all consecutive patients (N=324) who presented to Health Sciences Centre Adult Emergency and received rt-PA pre [January 1st, 2008 to December 31st, 2010; n= 102] and post [January 1st, 2012 to December 31st, 2014; n= 224] quality improvement initiative. The washout year was 2011. Demographic and clinical patient data, and process and outcome measures were collected. Primary study outcomes included mortality, discharge location, ambulation upon discharge, and adverse events. SPSS software was used for statistical analysis, with the level of significance of .05. Results: Patients in the two groups were similar, except that in the post-intervention period more patients were rural (p <.001), arrived by ambulance (p <.001) and had longer onset-to-door times (p <.001). Median door-to-needle (DTN) time (49 vs. 70.5 min, p <.001), and the percentage of cases with a DTN ≤ 60 minute (77.9 vs. 31.4%, p <.001) improved dramatically post-intervention. Outcomes, including a reduction in in-hospital mortality, (p = .013) and an increase in the proportion of favorable (i.e., home, rehab, community hospital) versus unfavorable discharge locations (i.e., long term care, death), p=.005, were also significant. Mortality rates in all study patients with DTN ≤ 60 minutes compared to those with DTN > 60 minutes were also significantly lower (p =.004). Conclusion: This research addressed an existing gap at our hospital regarding the impact of structural and process improvements on clinical outcomes in acute stroke. Our quality improvement initiative resulted in timelier care, and likely influenced the improved clinical outcomes. This study highlights the key role of nursing as part of the multidisciplinary team, in lessening the impact of stroke. The findings also provide institutional and governmental organizations with evidence to support investing in hyperacute stroke care. Furthermore, this study will foster increased uptake and compliance with best practice stroke care. Ultimately, all stroke patients in Manitoba may benefit, as it may increase the adherence to time-driven hyperacute stroke protocols. Thus, this study has provided valuable insights and reasons for optimism in the future of stroke care at HSC, in the Province of Manitoba, and beyond.

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)0.007
metaresearch head score (Gemma)0.020
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 score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.090
GPT teacher head0.339
Teacher spread0.250 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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