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Record W2794293329 · doi:10.14745/ccdr.v43i02a01

What are Canadian primary care physicians prescribing for the treatment of gonorrhea?

2017· article· en· W2794293329 on OpenAlexafffundvenueabout
Sandeul Ha, L Pogany, J Seto, Jun Wu, M Gale-Rowe

Bibliographic record

VenueCanada Communicable Disease Report · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsPublic Health Agency of CanadaGlobal Affairs CanadaHealth Canada
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsGonorrheaMedicineAzithromycinFamily medicinePopulationChlamydiaPublic healthMen who have sex with menHealth careEnvironmental healthAntibioticsSyphilisNursing

Abstract

fetched live from OpenAlex

Background: Cases of Neisseria gonorrhea are on the rise in Canada, which-if undetected or undertreated-can lead to morbidity and infertility.In addition, the number of antimicrobial resistant strains is also increasing creating the risk that N. gonorrhea may become untreatable.In 2013, the Public Health Agency of Canada (PHAC) released Canadian recommendations for the management and treatment of gonorrhea that identified the need for combination therapy to address and minimize antimicrobial resistance.However, the level of awareness and uptake of these guidelines is not well-known.Objectives: To assess primary care physicians' prescribing practices for the management and treatment of gonorrhea.Methods: After validity testing, two online cross-sectional surveys were conducted with a convenience sample of Canadian physicians.Physicians answered true/false statements and open-ended questions relating to three clinical scenarios: 1) suspected anogenital infection drawing from a population of men who have sex with men (MSM); 2) suspected anogenital infection drawing from a non-MSM population; and, 3) suspected pharyngeal infection drawing from any population.Frequencies of responses were calculated for the statements.Open-ended responses were recoded into treatment categories and frequencies were calculated for each scenario.Results: A total of 625 physicians completed the survey.Most physicians (60%-95%) accurately identified knowledge statements regarding pharmaceutical management, partner notification and public health reporting.For all clinical scenarios, 30%-35% of physicians did not provide any treatment information, approximately 30% indicated treating with cephalosporin monotherapy, 20%-25% indicated they would prescribe a cephalosporin and azithromycin and a minority of physicians identified other treatment options.When physicians were asked about the purpose of the second antibiotic, azithromycin, 49% indicated it was to provide presumptive treatment for gonorrhea and chlamydia.Forty-one percent indicated it was to provide presumptive treatment for chlamydia only.Conclusion: This convenience sample suggests that although knowledge of pharmaceutical management, partner notification, and public health reporting is high, the use of combination therapy to deter the development of antimicrobial resistant gonorrhea may not be widespread among primary care physicians.In light of both the growing incidence of N. gonorrhea and the rising rates of antimicrobial resistance in Canada, consideration on how to improve awareness and uptake of best prescribing practices in primary care may be indicated.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.032
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.039
GPT teacher head0.295
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2017
Admission routes4
Has abstractyes

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