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Record W2601393024

Genetic education for primary care providers

2009· article· en· W2601393024 on OpenAlexvenueaboutno aff
June Carroll, Andrea L. Rideout, Brenda J. Wilson, Judith Md Allanson, Sean Blaine, Mary Jane Esplen, Sandra A. Farrell, Gail E. Graham, Jennifer MacKenzie, Wendy S. Meschino, Fiona A. Miller, Preeti Prakash, Cheryl Shuman, Anne Summers, Sherry Taylor

Bibliographic record

VenueCanadian Family Physician · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsnot available
Fundersnot available
KeywordsReferralGenetic testingGenetic counselingMedicineFamily medicineIntervention (counseling)Primary careNursingGenetics
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE To increase primary care providers’ awareness and use of genetic services; increase their knowledge of genetic issues; increase their confidence in core genetic competencies; change their attitudes toward genetic testing for hereditary diseases; and increase their confidence as primary care genetic resources. DESIGN Participants completed a workshop and 3 questionnaires: a baseline questionnaire, a survey that provided immediate feedback on the workshop itself, and a follow-up questionnaire 6 months later. SETTING Ontario. PARTICIPANTS Primary care providers suggested by deans of nursing, midwifery, family medicine, and obstetric programs, as well as coordinators of nurse practitioner programs, in Ontario and by the Ontario College of Family Physicians. INTERVENTION A complex educational intervention was developed, including an interactive workshop and PowerPoint educational modules on genetic topics for participants’ use (available at [www.mtsinai.on.ca/FamMedGen/][1] ). MAIN OUTCOME MEASURES Awareness and use of genetic services, knowledge of genetics, confidence in core clinical genetic skills, attitudes toward genetic testing, and teaching activities related to genetics. RESULTS The workshop was attended by 29 participants; of those, 21 completed the baseline questionnaire and the 6-month follow-up questionnaire. There was no significant change found in awareness or reported use of genetic services. There was significant improvement in self-assessed knowledge of ( P = .001) and confidence in ( P = .005) skills related to adult-onset genetic disorders. There were significant increases in confidence in many core genetic competencies, including assessing risk of hereditary disorders ( P = .033), deciding who should be offered referral for genetic counseling ( P = .003), discussing prenatal testing options ( P = .034), discussing benefits, risks, and limitations of genetic testing ( P = .033), and describing what to expect at a genetic counseling session ( P = .022). There was a significant increase in the number of primary care providers agreeing that genetic testing was beneficial in the management of adult-onset diseases ( P = .031) and in their confidence in being primary care genetic resources for adult-onset genetic disorders ( P = .006). CONCLUSION Educational interventions that include interactive peer resource workshops and educational modules can increase knowledge of and confidence in the core competencies needed for the delivery of genetic services in primary care. [1]: http://www.mtsinai.on.ca/FamMedGen/

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)0.000
metaresearch head score (Gemma)0.000
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 score0.857
Threshold uncertainty score0.602

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.008
GPT teacher head0.239
Teacher spread0.231 · 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

Citations6
Published2009
Admission routes2
Has abstractyes

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