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Record W2043595245 · doi:10.2147/copd.s3452

Asthma patients prefer Respimat® Soft Mist™ Inhaler to Turbuhaler®

2009· article· en· W2043595245 on OpenAlexaff
Rick Hodder

Bibliographic record

VenueInternational Journal of COPD · 2009
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsUniversity of Ottawa
FundersAstraZeneca
KeywordsInhalerMedicineAsthmaDry-powder inhalerPhysical therapyPatient satisfactionBudesonideRandomized controlled trialInternal medicineSurgery

Abstract

fetched live from OpenAlex

Device satisfaction and preference are important patient-reported outcomes to consider when choosing inhaled therapy. A subset of adults (n = 153) with moderate or severe asthma participating in a randomized parallel-group, double-dummy trial that compared the efficacy and safety of 12 weeks' treatment with budesonide delivered via Respimat Soft Mist Inhaler (SMI) (200 or 400 microg bd) or Turbuhaler dry powder inhaler (400 microg bd), completed a questionnaire on patient device preference and satisfaction (PASAPQ) as part of a psychometric validation. As the study used a double-dummy design to maintain blinding, patients used and assessed both devices, rating their satisfaction with, preference for, and willingness to continue using each device. The mean age of patients was 41 years, 69% were female and the mean duration of disease was 16 years. Total PASAPQ satisfaction scores were 85.5 and 76.9 for Respimat SMI and Turbuhaler respectively (p < 0.0001); 112 patients (74%) preferred Respimat SMI and 26 (17%) preferred Turbuhaler. Fourteen subjects (9%) indicated no preference for either inhaler. Willingness to continue using Respimat SMI was higher than that for Turbuhaler (mean scores: 80/100 and 62/100, respectively). Respimat SMI was preferred to Turbuhaler by adult asthma patients who used both devices in a clinical trial setting.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.027
GPT teacher head0.319
Teacher spread0.292 · 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.

Study designNot applicable
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

Citations37
Published2009
Admission routes1
Has abstractyes

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