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Record W41488584

Culture and physician-patient communication: a qualitative exploration of residents' experiences and attitudes.

2002· article· en· W41488584 on OpenAlexaff
Lorelei Lingard, Susan Tallett, Jay Rosenfield

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPrejudice (legal term)PsychologyFocus groupMedical educationSocial psychologyMedicineSociology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Increasing evidence suggests that communication plays a central role in effective clinical care. To facilitate effective instruction in this domain, this study seeks to understand how pediatric residents approach the challenge of cross-cultural communication. METHODS: A convenience sample of 29 pediatric residents participated in five focus groups that were jointly facilitated by a clinical and a process expert. Discussion was stimulated using two video scenarios of pediatric cross-cultural communication challenges. RESULTS: Seven dominant categories were evident in the discussions: characteristics of culture, beliefs about culture, attitudes towards culture, opinions about how to build expertise in communication, cultural conflict, insights regarding prejudice, and comments about interview technique. Residents tended to view culture and difference as residing in patients (not in themselves), reflecting their assumption that western medicine is acultural. CONCLUSIONS: Residents believe that lack of knowledge about other cultures causes their communication difficulties. Our findings suggest, however, that more basic issues may underlie their difficulties. Residents may recognize prejudice in the abstract but fail to see it in their environment, and they may spend minimal time reflecting on their professional culture and beliefs.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.130
GPT teacher head0.376
Teacher spread0.246 · 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 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

Citations14
Published2002
Admission routes1
Has abstractyes

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