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Record W2985889307 · doi:10.1097/jnn.0000000000000474

Validity and Reliability of the Responses to Ischemic Stroke Symptoms Questionnaire

2019· article· en· W2985889307 on OpenAlexaff
Claudia C. Beal, Gerald Ogola, Leigh Allen

Bibliographic record

VenueJournal of Neuroscience Nursing · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsOntario Stroke Network
Fundersnot available
KeywordsContent validityMedicineReliability (semiconductor)Stroke (engine)Ischemic strokeCognitionValidityPhysical therapyPopulationClinical psychologyPsychologyPsychiatryPsychometricsIschemia

Abstract

fetched live from OpenAlex

BACKGROUND: Prehospital delay remains an important reason for low intravenous tissue plasminogen activator administration rates. Study of ischemic stroke patients' responses to stroke onset may be hampered by lack of a questionnaire designed specifically to examine their cognitive, emotional, and behavioral responses to symptoms. METHODS: We provide evidence for content validity and reliability for the Responses to Ischemic Stroke Symptoms Questionnaire (RISQ) through, expert panel review and calculation of a content validity index and a study to examine stability reliability among hospitalized acute ischemic stroke patients. RESULTS: Expert panel review demonstrated agreement on the relevance of questionnaire items and an overall content validity index of 0.97. The study to examine stability reliability demonstrated acceptable stability of the items on the RISQ over the short term in a sample of white and black stroke patients. CONCLUSION: Preliminary evidence was gathered to support the content validity and stability reliability of the RISQ. Study of the RISQ with other population groups is needed.

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)0.016
metaresearch head score (Gemma)0.047
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 score0.016
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.020
GPT teacher head0.305
Teacher spread0.285 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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