@article{65f15ed66faa4d4fa5360851de45e083,
title = "Variation in rotavirus vaccination coding in state US Medicaid data",
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{\textquoteright} 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.",
keywords = "Claims data, Immunization, Medicaid, Observational research, Real-world data, Rotavirus",
author = "Layton, {J. Bradley} and Butler, {Anne M.} and Brookhart, {M. Alan} and Panozzo, {Catherine A.}",
note = "Funding Information: The authors would like to acknowledge Lily Wang, PhD, of the University of North Carolina at Chapel Hill for her assistance with the analysis and data management.This work was funded by the US National Institutes of Health (grant number 5R21HD080214). The database infrastructure used for this project was funded by the CER Strategic Initiative of UNC's Clinical & Translational Science Award (UL1TR001111) and the UNC School of Medicine. Funding Information: The authors would like to acknowledge Lily Wang, PhD, of the University of North Carolina at Chapel Hill for her assistance with the analysis and data management. This work was funded by the US National Institutes of Health (grant number 5R21HD080214). The database infrastructure used for this project was funded by the CER Strategic Initiative of UNC's Clinical & Translational Science Award (UL1TR001111) and the UNC School of Medicine. JBL is an employee of RTI International, an independent, not-for-profit research institute which performs research on behalf of governmental and commercial clients, including pharmaceutical companies; JBL performed this work while an employee of UNC where he received salary support from the Center for Pharmacoepidemiology in the UNC Department of Epidemiology; current member companies include GlaxoSmithKline, Merck, UCB Biosciences, and Shire. AMB has received investigator-initiated research support from Amgen and AstraZeneca. MAB has received research support from Amgen and AstraZeneca and has served as a scientific advisor for Merck, Amgen, and RxAnte; he also owns equity in NoviSci, LLC, a data sciences company. CAP: none to declare. Funding Information: This work was funded by the US National Institutes of Health (grant number 5R21HD080214 ). The database infrastructure used for this project was funded by the CER Strategic Initiative of UNC{\textquoteright}s Clinical & Translational Science Award ( UL1TR001111 ) and the UNC School of Medicine . Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",
year = "2019",
month = may,
day = "16",
doi = "10.1016/j.vaccine.2019.02.074",
language = "English",
volume = "37",
pages = "2892--2895",
journal = "Vaccine",
issn = "0264-410X",
number = "22",
}