Christopher Okunseri BDS, MSc, FFDRCSI, Julie Frantsve-Hawley PhD, Madhuli Thakkar-Samtani BDS, MPH, IIya Okunev MA, Lisa J. Heaton PhD, Eric P. Tranby PhD
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A direct comparison between the data sets was also done.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Unweighted Medicaid and commercial enrollees were 11.6 and 10.5 million, respectively. The weighted proportion from MEPS for Medicaid and commercial plans ranged from 80 to 208 million people. Estimates of caries-related treatments were calculated from IBM Watson and MEPS data for Medicaid enrollees (13% vs. 12%, respectively) and commercial claims (25% vs. 17%, respectively). Prevalence of periodontal related treatments for those with a dental visit was estimated for IBM Watson and MEPS enrollees for Medicaid (0.7% vs. 0.5%, respectively) and commercial claims (7% vs. 1.6%, respectively). Dental disease estimates were higher in individuals with at least one dental visit across cohorts. Prevalence of disease for those with a dental visit based on specific procedures were higher in commercial plans than in Medicaid.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Claims data has the potential to serve as a proxy measure for the estimate of dental disease burden in a population.</p>\n </section>\n </div>","PeriodicalId":16913,"journal":{"name":"Journal of public health dentistry","volume":"83 1","pages":"51-59"},"PeriodicalIF":1.8000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of oral disease burden from claims and self-reported data\",\"authors\":\"Christopher Okunseri BDS, MSc, FFDRCSI, Julie Frantsve-Hawley PhD, Madhuli Thakkar-Samtani BDS, MPH, IIya Okunev MA, Lisa J. Heaton PhD, Eric P. Tranby PhD\",\"doi\":\"10.1111/jphd.12550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>To compare the use of Medicaid and commercial claims data with self-reported survey data in estimating the prevalence of oral disease burden.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We analyzed 2018 Medicaid claims from the IBM Watson Medicaid Marketscan database, commercial claims from the IBM Dental Database, and Medical Expenditure Panel Survey (MEPS) data. The estimate of oral disease burden was based on standard metrics using periodontal and caries-related Current Dental Terminology (CDT) procedure codes. A direct comparison between the data sets was also done.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Unweighted Medicaid and commercial enrollees were 11.6 and 10.5 million, respectively. 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Estimation of oral disease burden from claims and self-reported data
Objective
To compare the use of Medicaid and commercial claims data with self-reported survey data in estimating the prevalence of oral disease burden.
Methods
We analyzed 2018 Medicaid claims from the IBM Watson Medicaid Marketscan database, commercial claims from the IBM Dental Database, and Medical Expenditure Panel Survey (MEPS) data. The estimate of oral disease burden was based on standard metrics using periodontal and caries-related Current Dental Terminology (CDT) procedure codes. A direct comparison between the data sets was also done.
Results
Unweighted Medicaid and commercial enrollees were 11.6 and 10.5 million, respectively. The weighted proportion from MEPS for Medicaid and commercial plans ranged from 80 to 208 million people. Estimates of caries-related treatments were calculated from IBM Watson and MEPS data for Medicaid enrollees (13% vs. 12%, respectively) and commercial claims (25% vs. 17%, respectively). Prevalence of periodontal related treatments for those with a dental visit was estimated for IBM Watson and MEPS enrollees for Medicaid (0.7% vs. 0.5%, respectively) and commercial claims (7% vs. 1.6%, respectively). Dental disease estimates were higher in individuals with at least one dental visit across cohorts. Prevalence of disease for those with a dental visit based on specific procedures were higher in commercial plans than in Medicaid.
Conclusions
Claims data has the potential to serve as a proxy measure for the estimate of dental disease burden in a population.
期刊介绍：
The Journal of Public Health Dentistry is devoted to the advancement of public health dentistry through the exploration of related research, practice, and policy developments. Three main types of articles are published: original research articles that provide a significant contribution to knowledge in the breadth of dental public health, including oral epidemiology, dental health services, the behavioral sciences, and the public health practice areas of assessment, policy development, and assurance; methods articles that report the development and testing of new approaches to research design, data collection and analysis, or the delivery of public health services; and review articles that synthesize previous research in the discipline and provide guidance to others conducting research as well as to policy makers, managers, and other dental public health practitioners.
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