ArticleVaccine2019
Variation in rotavirus vaccination coding in state US Medicaid data.
Article in Vaccine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 5 citations in OpenAlex.
- Letter to the editor in response to: Rotavirus vaccine administration patterns in Italy: potential impact on vaccine coverage, compliance and adherence.Human vaccines & immunotherapeutics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
Differences in state Medicaid policies and practices may result in variation in the recording of individual-level vaccination claims, which may present challenges for vaccination research using state Medicaid data. We describe differences in procedure coding for rotavirus vaccination in four states' Medicaid programs by identifying rotavirus vaccine-specific codes and oral vaccine administration codes. The proportion of vaccinated children with vaccine-specific and oral vaccine administration codes differed substantially across states: two states used vaccine-specific codes almost exclusively (95.9% and 99.0%); one had exclusively oral vaccine administration codes (>99.9%); another had a mixture (32.1% vaccine-specific codes, 40.0% oral vaccine administration codes, and 27.9% both). Depending on the research question, studies using Medicaid data in states without (or with incomplete) vaccine-specific coding may be infeasible. Prior to initiating research, investigators should carefully evaluate state Medicaid policies and patterns of vaccination uptake, as vaccine reimbursement policies and availability of vaccine claims may vary.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.