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Record W4386944732 · doi:10.1017/s0714980823000478

Older Men, The Patient–Physician Relationship, and Patient Involvement

2023· article· en· W4386944732 on OpenAlexafffund
Hazel MacRae

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2023
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsMount Saint Vincent University
FundersMount Saint Vincent University
KeywordsPerceptionNegotiationFamily medicineGeneral partnershipHealth careMedicinePsychologyGerontology

Abstract

fetched live from OpenAlex

Despite the fact that older adults interact frequently with physicians, there is little research examining their preferences, and perceptions of the patient-physician relationship. Research on this topic is particularly sparse when it comes to older men. This study investigates older men's experiences with physicians, their perceptions of the patient-physician relationship, and the extent to which they wished to be involved in their health care. In-depth, face-to-face interviews were conducted with 23 men 55-96 years of age. Findings reveal that older men want to participate in the medical encounter and be involved in their care, contradicting earlier work suggesting that older adults prefer to be passive patients. Preferred involvement, however, varied along a continuum ranging from "quasi-involvement" to "taking charge", with most participants being in the middle, preferring a "partnership" patient-physician relationship. Factors influencing patient involvement and potential to negotiate the patient-physician relationship are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
GPT teacher head0.309
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2023
Admission routes2
Has abstractyes

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