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Record W2408129081 · doi:10.1186/s12911-016-0291-6

Attitudes of pediatric intensive care unit physicians towards the use of cognitive aids: a qualitative study

2016· article· en· W2408129081 on OpenAlexaff
Matthew J. Weiss, Chelsea Kramer, Sébastien Tremblay, Luc Côté

Bibliographic record

VenueBMC Medical Informatics and Decision Making · 2016
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité LavalCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsThematic analysisCognitionFocus groupQualitative researchMedicineNursingTheory of planned behaviorPsychologyFamily medicineControl (management)Psychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Cognitive aids are increasingly recommended in clinical practice, yet little is known about the attitudes of physicians towards these tools. METHODS: We employed a qualitative, descriptive design to explore physician attitudes towards cognitive aids in pediatric intensive care units (PICUs). Semi-structured interviews elicited the opinions of a convenience sample of practicing PICU physicians towards the use of cognitive aids. We analyzed interview data for thematic content to examine the three factors of intention to use cognitive aids as defined by the Theory of Planned Behavior (TPB), attitudes, social norms, and perceived control. RESULTS: Analysis of 14 interviews suggested that in the PICU setting, cognitive aids are widely used. Discovered themes related to their use touched on all three TPB factors of intention and included: aids are perceived to improve team communication; aids may improve patient safety; aids may hinder clinician judgment; physicians may resist implementation if it occurs prior to demonstration of benefit; effective adoption requires cognitive aids to be integrated into local workplace culture; and implementation should take physician concerns into account. CONCLUSIONS: Our sample of PICU physicians were open to cognitive aids in their practice, as long as such aids preserve the primacy of clinical judgment, focus on team communication, demonstrate effectiveness through preliminary testing, and are designed and implemented with the local culture and work environment in mind. Future knowledge translation efforts to implement cognitive aids would benefit from consideration of these issues.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.229
GPT teacher head0.490
Teacher spread0.262 · 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 designQualitative
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

Citations11
Published2016
Admission routes1
Has abstractyes

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