{"title":"Racial and ethnic disparities in oral healthcare quality among children enrolled in Medicaid and CHIP","authors":"Jill Boylston Herndon PhD, Diptee Ojha BDS, PhD","doi":"10.1111/jphd.12522","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>Addressing inequities in oral health care requires identification of which populations are experiencing performance gaps and the extent of those gaps. This study used Dental Quality Alliance (DQA) measures to examine variations in quality by race and ethnicity.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We used eligibility and claims data for 2018 for children aged <21 years for state Medicaid/CHIP programs available through the Transformed Medicaid Statistical Information System. For a subset of states with sufficient data quality, we calculated DQA measures of utilization of services, oral evaluation, and topical fluoride. The measures were stratified by race and ethnicity, age, sex, geographic location, and language. We used bivariate logistic regression to analyze relative disparities.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Variations in measure scores were noted between racial and ethnic groups. Measure scores were typically lower for non-Hispanic black and American Indian/Alaskan Native children and higher for non-Hispanic Asian and Hispanic children compared with non-Hispanic white children. There also was variation in the patterns of disparities between states. More than two-thirds of states had insufficient race and ethnicity data (>10% missing) to reliably report stratified measure scores.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Because disparities vary by state, each Medicaid/CHIP program should evaluate variations in care quality in the context of the population it serves. A critical first step is to improve collection of race and ethnicity. These measurements can be used to set improvement goals that not only raise quality of care for the population overall but also close gaps in performance between racial and ethnic groups.</p>\n </section>\n </div>","PeriodicalId":16913,"journal":{"name":"Journal of public health dentistry","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2022-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2d/f0/JPHD-82-89.PMC9543656.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of public health dentistry","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jphd.12522","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 1
Abstract
Objectives
Addressing inequities in oral health care requires identification of which populations are experiencing performance gaps and the extent of those gaps. This study used Dental Quality Alliance (DQA) measures to examine variations in quality by race and ethnicity.
Methods
We used eligibility and claims data for 2018 for children aged <21 years for state Medicaid/CHIP programs available through the Transformed Medicaid Statistical Information System. For a subset of states with sufficient data quality, we calculated DQA measures of utilization of services, oral evaluation, and topical fluoride. The measures were stratified by race and ethnicity, age, sex, geographic location, and language. We used bivariate logistic regression to analyze relative disparities.
Results
Variations in measure scores were noted between racial and ethnic groups. Measure scores were typically lower for non-Hispanic black and American Indian/Alaskan Native children and higher for non-Hispanic Asian and Hispanic children compared with non-Hispanic white children. There also was variation in the patterns of disparities between states. More than two-thirds of states had insufficient race and ethnicity data (>10% missing) to reliably report stratified measure scores.
Conclusions
Because disparities vary by state, each Medicaid/CHIP program should evaluate variations in care quality in the context of the population it serves. A critical first step is to improve collection of race and ethnicity. These measurements can be used to set improvement goals that not only raise quality of care for the population overall but also close gaps in performance between racial and ethnic groups.
要解决口腔卫生保健方面的不公平现象,就必须确定哪些人群正在经历绩效差距以及这些差距的程度。本研究使用牙科质量联盟(DQA)的措施来检查不同种族和民族的质量差异。方法:我们使用了2018年通过医疗补助统计信息系统(Transformed Medicaid Statistical Information System)获得的21岁儿童参加州医疗补助/CHIP项目的资格和索赔数据。对于具有足够数据质量的州子集,我们计算了服务利用率、口腔评估和局部氟化物的DQA措施。这些措施按种族、民族、年龄、性别、地理位置和语言分层。我们使用双变量逻辑回归分析相对差异。结果不同种族和民族的测量得分存在差异。与非西班牙裔白人儿童相比,非西班牙裔黑人和美洲印第安人/阿拉斯加土著儿童的测试分数通常较低,而非西班牙裔亚裔和西班牙裔儿童的测试分数则较高。各州之间的差异模式也有所不同。超过三分之二的州没有足够的种族和民族数据(缺失10%)来可靠地报告分层测量分数。由于各州的差异不同,每个医疗补助/CHIP项目都应该根据所服务人群的情况评估护理质量的变化。关键的第一步是改善种族和民族的收集。这些测量可以用来设定改进目标,不仅提高总体人口的护理质量,而且缩小种族和民族群体之间的表现差距。
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.