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Record W2036243261 · doi:10.5430/jha.v2n3p113

Effect of cost awareness on the utilization of laryngeal mask airway among anesthesiology residents

2013· article· en· W2036243261 on OpenAlexvenueno aff
Michael Green, Sheldon B. Gomes, Kelly A. Machovec, Parmis Green

Bibliographic record

VenueJournal of Hospital Administration · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionSelection (genetic algorithm)Laryngeal mask airwayMedicineAnesthesiologyAirwayAnesthesiaPsychologyComputer science

Abstract

fetched live from OpenAlex

Introduction: Knowledge of cost perception is the primary step towards determining the role cost plays in decision making. We examined perception of cost and utilization. We tried to determine reasons for choosing pieces of equipment and tested the effect of cost awareness. We hypothesized altered utilization patterns in favor of a less expensive product. Methods: We conducted a single blind prospective study examining the perceptions of laryngeal mask airway (LMA) cost among residents. The study tested whether cost awareness would alter utilization. The price was altered without residents’ knowledge to ensure recognition of a price difference. Utilization before and after price labeling was compared. Results: The survey results showed when asked specifically ‘does cost influence your choice of LMA?’ 56% of the residents answered ‘No’. Only 2 out of 23 resident responses to the question ‘how much does an LMA cost’ fell within a 50% range of its approximate cost of $8. When asked ‘if two products are equivalent, would you choose the cheaper one?’ all residents answered ‘Yes’. Prior to price labeling, LMA selection 8.25% GREEN and 91.75% CLEAR. After price labeling, selection of LMA’s was 24.27% GREEN and 75.73% CLEAR LMA’s. There was a significant difference between the utilization of GREEN and CLEAR LMA’s before and after price labeling. Conclusion: This prospective single blind study on how cost awareness effects LMA selection showed altered selection following price labeling towards lower cost products. Focusing on cost awareness may have an impact on the future utilization and health care expenses.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.061
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.293
Teacher spread0.278 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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