MétaCan
Menu
Back to cohort
Record W2143593663 · doi:10.7196/ajhpe.129

Patient-centred continuing professional development for Canadian physicians

2012· article· en· W2143593663 on OpenAlexaffabout
Brenda Lovell, Raymond Lee

Bibliographic record

VenueAfrican Journal of Health Professions Education · 2012
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsContinuing professional developmentProfessional developmentNursingMedicineMedical educationPsychology

Abstract

fetched live from OpenAlex

Introduction. Improving clinical practice skills can enhance a patient-centred model of health care. The objectives of this study were to discover if physicians consider learning about elements of patient-centred care important, and whether the perceived importance is influenced by choice of medical speciality practised and/or number of years in clinical practice. Methods. Of 310 surveys returned, a total of 268 physicians from one province in Canada were studied. On average, the participants had 16 years of practice experience with family medicine making up the largest component of the study cohort – 41%. Physicians were asked how useful learning about specific topics would be to improve their communication with patients from different cultural or socioeconomic backgrounds. The self-report measures were examined using mean differences among specialities, gender, and correlation with years in clinical practice. Results. The mean scores were above the scale midpoint for all specialities. The correlation data indicated a negative relationship between years in clinical practice and 2 of the 6 variables studied. Women physicians rated learning about patients’ health beliefs higher than men but men rated patient communication skills higher than women. Discussion. Physicians rated the importance of incorporating principles of patient-centred care into their clinical practice highly, suggesting that they may benefit from practice interventions such as reflection. AJHPE 2012;4(1):40-43. DOI:10.7196/AJHPE.129

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.376
Teacher spread0.344 · 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 designNot applicable
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
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueAfrican Journal of Health Professions EducationSame topicInnovations in Medical EducationFrench-language works237,207