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Record W2207977294 · doi:10.26443/ijwpc.v1i1.38

Exploring the Relational Aspects of Patient and Doctor Communication

2014· article· en· W2207977294 on OpenAlexaffvenue
Richard Hovey, Helen Massfeller

Bibliographic record

VenueInternational Journal of Whole Person Care · 2014
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of CalgaryMcGill University
Fundersnot available
KeywordsConversationNegotiationAllianceDialog boxGeneral partnershipRelevance (law)Therapeutic relationshipDoctor–patient relationshipInformation exchangeProcess (computing)PsychologyEmpirical evidenceMedicinePsychotherapistComputer scienceEpistemologySociologyPsychiatryBusinessCommunication

Abstract

fetched live from OpenAlex

The alliance concept is an essential component of therapeutic relationships. Contrary to empirical evidence, its relevance is often not acknowledged in medical encounters. This circumstance invites the question, ‘‘How can the doctor and patient connect relationally with each other to improve the communication process and promote healing?’’ We propose that healing can be accomplished through dialog that emphasizes the collaborative nature of the partnership between the doctor and patient. The typical conversation in a medical encounter may be reduced to an information exchange and a medium for prescribing directives. This being-with approach can override patients’ involvement in the process. A positive doctor–patient relationship may be one of the most important, and most frequently overlooked, factors for predicting patient response to negative medical information. Receiving such news is potentially upsetting for the patient and may require the doctor to let go of the conversational medical agenda and adopt a being-for mode of relationship. We propose that this approach invites the doctor and patient to work together and negotiate how to manage the chronic illness eliciting patient-preferred treatment options. The authors propose the adoption of the being-for relationship as a way of enhancing the therapeutic potential of the doctor–patient relationship.

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)0.001
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 score0.165
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.276
GPT teacher head0.401
Teacher spread0.125 · 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

Citations1
Published2014
Admission routes2
Has abstractyes

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