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Record W1987545879 · doi:10.1375/jdmr.2.2.57

The Role of the Physician in Disability Management: Assessing Family Physicians' View of Discrepancies Between Practice and Canadian Medical Association Guidelines

2007· article· en· W1987545879 on OpenAlexafffundabout
Christine Reynolds, Shannon L. Wagner, Henry G. Harder, Lela Zimmer

Bibliographic record

VenueInternational Journal of Disability Management · 2007
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of Northern British Columbia
KeywordsThematic analysisPsychological interventionAssociation (psychology)Family medicineMultitudeQualitative researchMedical educationMedicinePsychologyNursingPolitical science

Abstract

fetched live from OpenAlex

Abstract Purpose: This research project aimed to explore the views and perspectives of family physicians in regards to fulfilling their role in disability management (DM) — specifically, to examine the discrepancies between physicians' practice in DM and their professional guidelines, with special attention to physicians' experience in collaborating with key stakeholders. Methods: Seven family physicians were interviewed using a semi-structured interview format (8 evidence-based questions and 2 case examples). Interviews were recorded and transcribed. A content analysis of the interview data was conducted in addition to a thematic review of participant responses. Results: Data revealed that in accordance with previous literature, physicians' practice does not typically emulate Canadian Medical Association policy, and the participant physicians described several barriers as the reason for this discrepancy. This study revealed a multitude of frustrations encountered by physicians when interacting with other parties in DM. Participant physicians also reported potential solutions to these frustrations and other related issues. Conclusion: This qualitative study yields valuable insight into barriers, as well as facilitating factors, for physicians in the fulfillment of their DM role. Some practical recommendations for the DM community are presented, while noting that more research should be conducted, including input from key DM stakeholders, to both gain further understanding of physicians' DM function, and to identify viable interventions aimed at optimising their role.

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)0.009
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
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 head0.035
GPT teacher head0.442
Teacher spread0.407 · 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 designObservational
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

Citations4
Published2007
Admission routes3
Has abstractyes

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