Public health impact of Rotarix vaccination among commercially insured children in the United States
Bibliographic record
Abstract
BACKGROUND: This study (NCT01915888) assessed public health impact of Rotarix, GSK [RV1] vaccination. METHODS: Children born between 2007-2011 were identified from Truven Commercial Claims and Encounters Databases and observed until earlier of plan disenrollment or five years old. Children receiving one or two doses of RV1 during the vaccination window were assigned to incomplete and complete vaccination cohorts, respectively. Children without rotavirus (RV) vaccination (RV1 OR RotaTeq, Merck & Co., Inc. [RV5]) were assigned to the unvaccinated cohort. Claims with International Classification of Disease 9th edition (ICD-9) codes for diarrhea and RV infections were identified. First RV episode incidence, RV-related and diarrhea-related healthcare resource utilization were compared. Multivariate Poisson regression with generalized estimating equations was used to generate 95% confidence intervals (CIs) around incidence rate ratios (IRR) between cohorts while adjusting for gender, age and calendar year. Mean costs for first RV and diarrhea episodes were calculated with adjustment for gender and birth year; bootstrapping was used to determine statistically significant differences between cohorts. RESULTS: Incidence of first RV episodes was significantly reduced in complete and incomplete vaccination cohorts compared to the unvaccinated cohort (IRR=0.17 [95%CI: 0.09-0.30] and IRR=0.19 [95%CI: 0.06-0.58], respectively). RV-related inpatient, outpatient and emergency room (ER) visits were significantly lower for complete vaccination versus unvaccinated cohort. Diarrhea-related inpatient and ER visit rates were significantly lower for complete vaccination versus unvaccinated cohorts; outpatient rates were similar. RV-related and diarrhea-related resource utilization rates were significantly lower or no different for incomplete vaccination versus unvaccinated cohort. Compared with unvaccinated children, adjusted mean cost for first RV episode and first diarrhea episode per 1000 persons was $11,511 (95%CI: $9855-$12,024) and $46,772 (95%CI: $26,268-$66,604) lower, respectively, for completely vaccinated children. CONCLUSIONS: RV1 vaccination confers benefits in reduction of RV incidence, RV- and diarrhea-related healthcare resource utilization, and RV- and diarrhea-related healthcare costs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".