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Record W2089989920 · doi:10.3109/02770903.2014.971966

The use of a work-related asthma screening questionnaire in a primary care asthma program: an intervention trial

2014· article· en· W2089989920 on OpenAlexaffabout
Katie R. Killorn, Suzanne M. Dostaler, Patti A. Groome, M. Diane Lougheed

Bibliographic record

VenueJournal of Asthma · 2014
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsQueen's UniversityKingston General Hospital
Fundersnot available
KeywordsAsthmaMedicineFamily medicineIntervention (counseling)Primary careMEDLINENursing

Abstract

fetched live from OpenAlex

OBJECTIVES: The work-related asthma screening questionnaire (long-version) (WRASQ(L)) is a 14-item tool designed to increase the recognition of work-related asthma (WRA) in primary care. The purpose of this study was to assess whether the WRASQ(L) provided additional information about a patient's likelihood of WRA, beyond what was collected in standard care, and to assess the use of the WRASQ(L) in the primary care setting. METHODS: This was an intervention study involving two Ontario primary care sites. Standard care for asthma patients in these sites involved completing the Asthma Care Map (ACM), a template for asthma management that includes seven WRA screening items. Participation in this study involved completing an electronic WRASQ(L) at each visit for participants and prompted care providers to record details related to WRA investigations. Ethics approval was obtained from an Institutional Review Board. RESULTS: The study sample (N = 37) was predominantly female (73.0%), with a mean age of 46.3 years (SD, 10.9). The use of WRASQ(L) identified additional work-related symptoms in 38% and exposures in 60% of participants over and above those identified by the ACM. Two participants were newly suspected of WRA during the study period. CONCLUSIONS: The WRASQ(L) provided added information about possible WRA over standard care. The use of the questionnaire's results by care providers was limited due to barriers encountered in incorporating the use of electronic version of the WRASQ(L) into clinical practice. Once validated and implemented in practice, the WRASQ(L) has the potential to increase the recognition of WRA.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.302
Teacher spread0.277 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations12
Published2014
Admission routes2
Has abstractyes

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