Evidence map›Paper›PMID 30876721›Full record

ArticleVaccine2019

Variation in rotavirus vaccination coding in state US Medicaid data.

J Bradley Layton, Anne M Butler, M Alan Brookhart, Catherine A Panozzo

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

J Bradley LaytonRTI Health Solutions, Research Triangle Park, NC, USA; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: jblayton@rti.org.
Anne M ButlerDepartments of Medicine and Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, USA. Electronic address: anne.butler@wustl.edu.
M Alan BrookhartDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: abrookhart@unc.edu.
Catherine A PanozzoDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA. Electronic address: Catherine_Panozzo@harvardpilgrim.org.
Harvard University · USRTI Health Solutions · USUniversity of North Carolina at Chapel Hill · USWashington University in St. Louis · US

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
Patterns of use, comparative effectiveness, and safety of rotavirus vaccinesR21HD080214 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BROOKHART, MAURICE ALAN · 2014 to 2015
$413k
NCATS NIH HHS UL1 TR001111NCATS NIH HHS UL1 TR002489NICHD NIH HHS R21 HD080214
6 · The paper itself

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

HumansMedicaidRotavirusRotavirus InfectionsRotavirus VaccinesUnited StatesVaccinationRotavirus VaccinesClaims dataImmunizationMedicaidObservational researchReal-world dataRotavirus

Identifiers

PMID30876721
PMCPMC6510625
OpenAlexW2922451026

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.