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Record W4387661670

Understanding patient preferences for student clinician attire: a cross-sectional study of a student chiropractic clinic in Australia.

2023· article· en· W4387661670 on OpenAlexaff
Jean Théroux, Corey Rogers, R Moyle, Indigo Atwood, Mia Bebic, Sofie Murfit, Rachel W. Martin, Samara Klee, Tahla Even, Alexander Moore, Zachary Willmott, Kimberly McCartney, Vincenzo Cascioli, Marc‐André Blanchette, Amber Beynon

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsChiropracticFamily medicineMedicineMedical educationPsychologyAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

Objectives: Previous studies have investigated the role of clinical attire in establishing patient-held perceptions of professionalism and knowledgeability across various healthcare settings. This study aimed to understand patients' preferences for chiropractic student attire. Methods: Three hundred and twenty patients were recruited from a university chiropractic clinic and asked to complete an online questionnaire. The patients' preferences for five different attires were rated and calculated as the composite score of five domains (knowledgeable, trustworthy, caring, professional, and comfortable). Results: While 71.9% of participants indicated that how students dress was important to them, most (63.4%) disagreed that wearing a white coat was essential for chiropractic student clinicians. The most preferred form of attire was the current clinic shirt. Conclusion: The attire worn by chiropractic student clinicians at a single institution was found to be an influential attribute. Student chiropractic clinicians should dress professionally to make a good first impression. This study provided some guidance with the ongoing debate around students' dress code.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.547
GPT teacher head0.490
Teacher spread0.057 · 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
Published2023
Admission routes1
Has abstractyes

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