Relationship between patient copayments in Medicare Part D and vaccination claim status for herpes zoster and tetanus-diphtheria-acellular pertussis
Bibliographic record
Abstract
OBJECTIVE: To assess the relationship between copay amount and vaccination claim submission status for tetanus-diphtheria-acellular pertussis (Tdap) and herpes zoster (GSK study identifier: HO-14-14319). METHODS: Retrospective analyses were performed using vaccination administrative claims data in patients aged ≥65 years with ≥1 claim for Tdap or zoster vaccines between 2012 and 2014. To avoid confounding by other financial responsibility, analyses were conducted among patients in the copayment phase of insurance. The impact of patient copay amount on vaccination claim status ("canceled" vs. "paid") was evaluated by logistic regression separately for Tdap and zoster, adjusting for patient and provider characteristics. RESULTS: A total of 81,027 (39.2% with canceled claims) and 346,417 patients (56.8% with canceled claims) were included in the Tdap and zoster analyses, respectively. Mean (standard deviation) copay for canceled vs. paid claims was $37.2 (18.4) vs. $31.1 (20.1) for Tdap and $64.9 (36.9) vs. $53.5 (38.8) for zoster. The adjusted odds ratios (ORs) for a canceled Tdap vaccine claim, compared with $0 copay, were 1.19 ($1-25 copay), 1.76 ($26-50 copay), 2.42 ($51-75 copay) and 2.40 ($76-100 copay), all p < .001. The adjusted ORs for a canceled zoster vaccine claim, compared with $0 copay, were 1.02 ($1-25), 1.39 ($26-50), 1.66 ($51-75), 2.07 ($76-100) and 2.71 (>$100), all p < .001 except for $1-25 (p = .172). CONCLUSIONS: High patient copay is a barrier to Tdap and zoster vaccinations in Medicare Part D patients. Providing vaccines at low or no copay may improve vaccination rates in these adults. GSK study identifier: HO-14-14319.
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 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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".