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Record W2978229380 · doi:10.1558/cam.17143

Verbal compliance-gaining strategies used by male physicians and patient healthcare experience

2017· article· en· W2978229380 on OpenAlexaffabout
Annabel Levesque, Han Z. Li

Bibliographic record

VenueCommunication & Medicine · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsUniversity of Northern British ColumbiaUniversité de Saint-Boniface
Fundersnot available
KeywordsPersuasionCompliance (psychology)Health careInterpersonal communicationMedicinePatient experienceFamily medicinePsychologyNursingSocial psychology

Abstract

fetched live from OpenAlex

This study explores male physicians' use of verbal compliance gaining strategies to encourage patients to adhere to medication regimens, lifestyle changes, or future appointments, and assesses which strategies are associated with patients' reported healthcare experiences. Five physicians from a family practice clinic in northern British Columbia, Canada, were audio-recorded while interacting with 31 patients during actual consultations. Compliance-gaining utterances were coded into five categories of strategies, while patient experience with care was assessed using a questionnaire. A number of intriguing findings emerged: direct orders were related to a more negative experience with interpersonal aspects of care, but were fairly frequently used, especially with female patients. Persuasion was the only strategy that promoted a positive patient experience, but was rarely used. However, the effect of persuasion on patient experience was no longer significant when adjusting for patients' health status. Physicians relied mostly on motivation strategies to encourage adherence, but these strategies were not related to patients' assessment of their healthcare experiences. These results suggest that the most frequently used verbal compliance gaining strategies by physicians are not always appreciated by patients. To be more effective, it is necessary to inform physicians about which compliance-gaining strategies promote a positive patient healthcare experience.

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.999

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 studies0.0030.004
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.159
GPT teacher head0.462
Teacher spread0.303 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2017
Admission routes2
Has abstractyes

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