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Record W2779507476 · doi:10.1080/10401334.2017.1407656

The Complexity of Patients' Health Communication Social Networks: A Broadening of Physician Communication

2017· article· en· W2779507476 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTeaching and Learning in Medicine · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInterpersonal communicationHealth communicationPsychologyVariety (cybernetics)Meaning (existential)PerceptionSocial network analysisSocial psychologyMedicineNursingSocial mediaComputer scienceCommunicationPsychotherapist

Abstract

fetched live from OpenAlex

Phenomenon: Patients have access to a wide variety of sources of information about their health in their day-to-day contexts. This can sometimes result in discordance between a physician's perception of a patient's health issue and a patient's perception of their health issue. Even after the physician has negotiated an understanding and treatment plan with a patient, subsequent interactions outside the physician–patient encounter may modify the patient's understanding of their health issue. A patient's reinterpretation of his or her health issue can then result in nonadherence of the treatment plan or even alternative treatment plans that the physician perceives as being unsatisfactory. Current models of physician–patient communication do not prepare physicians to manage this phenomenon. Approach: Using an ethnographic and a social network analysis research design, participants' patterns of social interaction around health information were investigated over a yearlong period (2012–2013) in a small rural community in Western Canada. Data included (a) individual interviews, (b) focus group interviews, and (c) field notes. Data were analyzed in a three-stage process: (a) item analysis, (b) pattern analysis, and (c) structural analysis. Findings: The findings highlight how physicians are only one nodal point in patients' broad, multilayered networks of communication. Interactions around health topics were not isolated events but rather occurred in various patterns of social interactions that were longitudinal and iterative. Meaning making around health topics was constructed, shared, elaborated, reconstructed, and interpreted in participants' social networks, as information was distributed through a complex temporal system of interpersonal ties. Insights: Issues concerning physician communication have been a long-standing conversation in the field of medical education. Many competency frameworks have attempted to encompass this core competency in their elaboration of the physician communicator. However, most representations and discussions in the field tend to depict physician communicators as experts who translate their knowledge to patients in a simplified way, in a single moment in time. This study suggests that educational initiatives in physician–patient communication would benefit from contextualizing physicians as part of patients' resource-rich, temporally extended, iterative process of meaning making. This alternative framing has the potential to support physicians' continuing engagement with patients as a meaningful and responsive node in patients' meaning-making networks.

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.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.212
GPT teacher head0.456
Teacher spread0.244 · 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