Treatment of Chlamydia and Gonorrhea in Primary Care and Its Patient-Level Variation: An American Family Cohort Study
Bibliographic record
Abstract
PURPOSE: Chlamydia and gonorrhea are the 2 most common bacterial sexually transmitted infections in the United States. Nonadherence to the Centers for Disease Control and Prevention treatment guidelines remains a concern. We examined how well chlamydia and gonorrhea treatment in primary care settings adhered to guidelines. METHODS: We used electronic health records from the PRIME registry to identify patients with diagnosis codes or positive test results for chlamydia and/or gonorrhea from 2018 to 2022. Outcomes were the first dates of antibiotic administered within 30 days after a positive test result for the infection. Descriptive statistics were calculated for patient sociodemographic characteristics. We used a multivariate parametric accelerated failure time analysis with shared frailty modeling to assess associations between these characteristics and time to treatment. RESULTS: We identified 6,678 cases of chlamydia confirmed by a positive test and 2,206 cases of gonorrhea confirmed by a positive test; 75.3% and 69.6% of these cases, respectively, were treated. Females, individuals aged 10-29 years, suburban dwellers, and patients with chlamydia-gonorrhea coinfection had higher treatment rates than comparator groups. Chlamydia was infrequently treated with the recommended antibiotic, doxycycline (14.0% of cases), and gonorrhea was infrequently treated with the recommended antibiotic, ceftriaxone (38.7% of cases). Time to treatment of chlamydia was longer for patients aged 50-59 years (time ratio relative to those aged 20-29 years = 1.61; 95% CI, 1.12-2.30) and for non-Hispanic Black patients (time ratio relative to White patients = 1.17; 95% CI, 1.04-1.33). CONCLUSIONS: Guideline adherence remains suboptimal for chlamydia and gonorrhea treatment across primary care practices. Efforts are needed to develop interventions to improve quality of care for these sexually transmitted infections.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".