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Record W2887819118 · doi:10.1001/jamaneurol.2018.2101

Participation in Get With The Guidelines–Stroke and Its Association With Quality of Care for Stroke

2018· article· en· W2887819118 on OpenAlexaff
George Howard, Lee H. Schwamm, John P. Donnelly, Virginia J. Howard, Adam Jasne, Eric E. Smith, J. Rhodes, Brett Kissela, Gregg C. Fonarow, Dawn Kleindorfer, Karen C. Albright

Bibliographic record

VenueJAMA Neurology · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Alberta
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsStroke (engine)Association (psychology)MedicineQuality (philosophy)PsychologyMEDLINEPhysical medicine and rehabilitationPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Importance: Get With The Guidelines-Stroke (GWTG-Stroke) is an American Heart Association/American Stroke Association stroke-care quality-improvement program; however, to our knowledge, there has not been a direct comparison of the quality of care between patients hospitalized at participating hospitals and those at nonparticipating hospitals. Objective: To contrast quality of stroke care measures for patients admitted to hospitals participating and not participating in GWTG-Stroke. Design, Setting, and Participants: Subpopulation of 546 participants with ischemic stroke occurring during a 9-year follow-up of the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study, a population-based cohort study of 30 239 randomly selected black and white participants 45 years and older recruited between 2003 and 2007. Of those with stroke, 207 (36%) were treated in a hospital participating in GWTG-Stroke and 339 in a nonparticipating hospital. Data were analyzed between July 29, 2017, and April 17, 2018. Main Outcomes and Measures: Quality of care measures including use of tissue plasminogen activator, performance of swallowing evaluation, antithrombotic use in first 48 hours, lipid profile assessment, discharge receiving antithrombotic therapy, discharge receiving a statin, neurologist evaluation, providing weight loss and exercise counseling, education on stroke risk factors and warning signs, and assessment for rehabilitation. Results: Participants treated at participating hospitals had a mean (SD) age of 74 (8) years and 100 of 207 were men (48%), while those seen at nonparticipating hospitals had a mean (SD) age of 73 (9) years, and 161 of 339 were men (48%). Those seen in participating hospitals were more likely to receive 5 of 10 evidence-based interventions recommended for patients hospitalized with ischemic stroke, including receiving tissue plasminogen activator (RR, 3.74; 95% CI, 1.65-8.50), education on risk factors (RR, 1.54; 95% CI, 1.16-2.05), having an evaluation for swallowing (RR, 1.25; 95% CI, 1.04-1.50), a lipid evaluation (RR, 1.18; 95% CI, 1.05-1.32), and an evaluation by a neurologist (RR, 1.12; 95% CI, 1.05-1.20). Those seen in participating hospitals received a mean of 5.4 (95% CI, 5.2-5.6) interventions compared with 4.8 (95% CI, 4.6-5.0) in nonparticipating hospitals (P < .001). Conclusions and Relevance: These data collected independently of the GWTG-Stroke program document improved stroke care for patients with ischemic stroke hospitalized at participating hospitals.

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)0.003
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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.345
Teacher spread0.310 · 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

Citations69
Published2018
Admission routes1
Has abstractyes

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