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Record W2088553619 · doi:10.1176/appi.ajp.158.10.1579

Improving the Psychiatric Knowledge, Skills, and Attitudes of Primary Care Physicians, 1950–2000: A Review

2001· review· en· W2088553619 on OpenAlexaff
Brian Hodges, Cam Inch, Ivan Silver

Bibliographic record

VenueAmerican Journal of Psychiatry · 2001
Typereview
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRelevance (law)MEDLINEPsychologyPerceptionPrimary careMental healthVariety (cybernetics)Empirical researchHealth careNursingMedicinePsychiatryMedical educationFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The authors reviewed the literature on mental health education for primary care physicians and made recommendations for the design of educational programs and research. METHOD: They searched the MEDLINE and PsycLIT databases from 1950 to 2000 by using a variety of key words and subjects. RESULTS: More than 400 articles were identified, ranging from empirical studies to philosophical articles. Many identified a perceptual gap between primary care and psychiatry as the basis for problems of contextual relevance in psychiatric education for primary care practitioners. There were few empirical studies; most reported only results of satisfaction surveys or simple tests of knowledge. Long-term outcomes were less positive; there were important negative findings. CONCLUSIONS: An extensive literature published over five decades identified a strong need for ongoing mental health training for primary care physicians. Helpful recommendations exist related to objectives, methods, and evaluation. However, there are organizational and attitudinal issues that may be equally or more important for educators to consider than the selection of educational methods.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.377
Teacher spread0.358 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations238
Published2001
Admission routes1
Has abstractyes

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