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Record W2316428182 · doi:10.1097/acm.0000000000000479

Family Physician Preceptors’ Conceptualizations of Health Advocacy

2014· article· en· W2316428182 on OpenAlexaff
Maria Hubinette, Rola Ajjawi, Shafik Dharamsi

Bibliographic record

VenueAcademic Medicine · 2014
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsVancouver Coastal HealthWorkers Compensation Board of British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsHealth careNursingMedicineHealth educationPatient advocacyPublic healthMedical educationPsychologyMEDLINEPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: Despite its official acceptance as an important physician responsibility, health advocacy remains difficult to define, teach, role model, and assess. The aim of the current study was to explore physicians' conceptions of health advocacy based on their experience with health-advocacy-related activities. METHOD: In 2012, the authors conducted 11 semistructured interviews with family physician clinical preceptors and analyzed the interviews in the tradition of phenomenography. RESULTS: The authors identified three distinct but related ways of understanding health advocacy: (1) Clinical: Health advocacy as support of individual patients in addressing health care needs related to the immediate clinical problem within the health care system, (2) Paraclinical: Health advocacy as support of individual patients in addressing needs that the physician preceptors viewed as peripheral yet parallel to both the health care system and the immediate clinical problem, and (3) Supraclinical: Health advocacy as population-based activities aimed at practice- and system-level changes that address the social determinants of health. CONCLUSIONS: The qualitatively different understandings of health advocacy shed light on why current approaches to defining, teaching, role modeling, and assessing health advocacy competencies in medical education appear idiosyncratic. The authors suggest the development of an inclusive and extensive conceptual framework that may allow the medical education community to imagine novel ways of understanding and engaging in health advocacy.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.112
GPT teacher head0.501
Teacher spread0.390 · 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

Citations42
Published2014
Admission routes1
Has abstractyes

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