Using Bayesian Imputation to Assess Racial and Ethnic Disparities in Pediatric Performance Measures.
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ABSTRACT:
SUBMITTER: Brown DP
PROVIDER: S-EPMC4874818 | biostudies-other | 2016 Jun
REPOSITORIES: biostudies-other
Publications
Using Bayesian Imputation to Assess Racial and Ethnic Disparities in Pediatric Performance Measures.
Brown David P DP Knapp Caprice C Baker Kimberly K Kaufmann Meggen M
Health services research 20151020 3
<h4>Objective</h4>To analyze health care disparities in pediatric quality of care measures and determine the impact of data imputation.<h4>Data sources</h4>Five HEDIS measures are calculated based on 2012 administrative data for 145,652 children in two public insurance programs in Florida.<h4>Methods</h4>The Bayesian Improved Surname and Geocoding (BISG) imputation method is used to impute missing race and ethnicity data for 42 percent of the sample (61,954 children). Models are estimated with a ...[more]
Similar Datasets
Project description:ObjectiveTo examine how similar racial/ethnic disparities in clinical quality (Healthcare Effectiveness Data and Information Set [HEDIS]) and patient experience (Consumer Assessment of Healthcare Providers and Systems [CAHPS]) measures are for different measures within Medicare Advantage (MA) plans.Data sources/study setting5.7 million/492,495 MA beneficiaries with 2008-2009 HEDIS/CAHPS data.Study designBinomial (HEDIS) and linear (CAHPS) hierarchical mixed models generated contract estimates for HEDIS/CAHPS measures for Hispanics, blacks, Asian-Pacific Islanders, and whites. We examine the correlation of within-plan disparities for HEDIS and CAHPS measures across measures.Principal findingsPlans with disparities for a given minority group (vs. whites) for a particular measure have a moderate tendency for similar disparities for other measures of the same type (mean r = 0.51/.21 and 53/34 percent positive and statistically significant for CAHPS/HEDIS). This pattern holds to a lesser extent for correlations of CAHPS disparities and HEDIS disparities (mean r = 0.05/0.14/0.23 and 4.4/5.6/4.4 percent) positive and statistically significant for blacks/Hispanics/API.ConclusionsSimilarities in CAHPS and HEDIS disparities across measures might reflect common structural factors, such as language services or provider incentives, affecting several measures simultaneously. Health plan structural changes might reduce disparities across multiple measures.
| S-EPMC4693842 | biostudies-literature
Project description:BackgroundPrevious studies in adult hemodialysis patients have shown that African-American and Hispanic patients have a lower risk of mortality in addition to a lower likelihood of kidney transplantation. However, studies of the association between race and outcomes in pediatric dialysis are sparse and often do not examine outcomes in Hispanic children. The objective was to determine if racial-ethnic disparities in mortality and kidney transplantation outcomes exist in pediatric dialysis patients.MethodsThis was a retrospective cohort analysis of 2,697 pediatric dialysis patients (aged 0-20 years) from a large national dialysis organization (entry period 2001-2011) of non-Hispanic white, African-American, and Hispanic race-ethnicity. Associations between race-ethnicity with mortality and kidney transplantation outcomes were examined separately using competing risks methods. Logistic regression analyses were used to examine the association between race-ethnicity, with outcomes within 1 year of dialysis initiation.ResultsOf the 2,697 pediatric patients in this cohort, 895 were African-American, 778 were Hispanic, and 1,024 were non-Hispanic white. After adjusting for baseline demographics, competing risk survival analysis revealed that compared with non-Hispanic whites, African-Americans had a 64 % higher mortality risk (hazards ratio [HR] = 1.64; 95 % CI 1.24-2.17), whereas Hispanics had a 31 % lower mortality risk (HR = 0.69; 95 % CI 0.47-1.01) that did not reach statistical significance. African-Americans also had higher odds of 1-year mortality after starting dialysis (odds ratio [OR] = 2.08; 95 % CI 0.95-4.58), whereas both African-Americans and Hispanics had a lower odds of receiving a transplant within 1 year of starting dialysis (OR = 0.28; 95 % CI 0.19-0.41 and OR = 0.43; 95 % CI 0.31-0.59 respectively).ConclusionIn contrast to adults, African-American pediatric dialysis patients have worse survival than their non-Hispanic white counterparts, whereas Hispanics have a similar to lower mortality risk. Both African-American and Hispanic pediatric dialysis patients had a lower likelihood of kidney transplantation than non-Hispanic whites, similar to observations in the adult dialysis population.
| S-EPMC5392236 | biostudies-literature
Project description:Though wide disparities in wealth have been documented across racial/ethnic groups, it is largely unknown whether differences in wealth are associated with health disparities within racial/ethnic groups.Data from the Survey of Consumer Finances (2004, ages 25-64) and the Health and Retirement Survey (2004, ages 50+), containing a wide range of assets and debts variables, were used to calculate net worth (a standard measure of wealth). Among non-Hispanic black, Hispanic and non-Hispanic white populations, we tested whether wealth was associated with self-reported poor/fair health status after accounting for income and education.Except among the younger Hispanic population, net worth was significantly associated with poor/fair health status within each racial/ethnic group in both data sets. Adding net worth attenuated the association between education and poor/fair health (in all racial/ethnic groups) and between income and poor/fair health (except among older Hispanics).The results add to the literature indicating the importance of including measures of wealth in health research for what they may reveal about disparities not only between but also within different racial/ethnic groups.
| S-EPMC3686361 | biostudies-literature
Project description:This article provides an overview of the contribution of sociologists to the study of racial and ethnic inequalities in health in the United States. It argues that sociologists have made four principal contributions. First, they have challenged and problematized the biological understanding of race. Second, they have emphasized the primacy of social structure and context as determinants of racial differences in disease. Third, they have contributed to our understanding of the multiple ways in which racism affects health. Finally, sociologists have enhanced our understanding of the ways in which migration history and status can affect health. Sociological insights on racial disparities in health have important implications for the development of effective approaches to improve health and reduce health inequities.
| S-EPMC3468327 | biostudies-literature
Project description:IntroductionDetailed evaluations of racial and ethnic trends and disparities in NSCLC outcomes are lacking, and it remains unclear whether recent advances in screening and targeted therapies for NSCLC have benefited all population groups equally.MethodsUsing the Surveillance, Epidemiology, and End Results 18-registry data, we evaluated trends in overall and stage-specific NSCLC incidence (2007-2018) among patients aged 55 to 79 years by sex and race and ethnicity. Overall and stage-specific 2-year cause-specific survival rates were calculated by sex and race and ethnicity. Health Disparities software calculated absolute (difference) and relative (ratio) disparity measures comparing racial and ethnic groups with the highest and lowest rates (range measures) and comparing white patients (reference group) with other groups (pairwise rate measures). Joinpoint software assessed changes in rates and disparities.ResultsBoth men and women experienced substantial declines in NSCLC incidence from 2007 to 2018, largely due to significant declines in the incidence of distant-stage NSCLC over the study period (p < 0.05). During the same time period, the incidence of local-stage NSCLC significantly increased among black and Hispanic women (p < 0.05) and remained stable among all other groups. Overall, 2-year cause-specific survival rates improved across most racial and ethnic groups, especially among those diagnosed in regional and distant stages. For both sexes, absolute disparities in overall and stage-specific incidence of NSCLC significantly decreased over time (p < 0.05), whereas relative disparities remained unchanged. Pairwise comparison revealed persistent disparities in NSCLC burden between black and white men.ConclusionWe found evidence of narrowing racial and ethnic disparities in NSCLC incidence over time; however, important disparities persist. More work is needed to ensure consistent and equitable access to high-quality screening, diagnosis, and treatment to reduce and eliminate cancer disparities.
| S-EPMC9309496 | biostudies-literature
Project description:ObjectivesThe prevalence of childhood obesity is significantly higher among racial and/or ethnic minority children in the United States. It is unclear to what extent well-established obesity risk factors in infancy and preschool explain these disparities. Our objective was to decompose racial and/or ethnic disparities in children's weight status according to contributing socioeconomic and behavioral risk factors.MethodsWe used nationally representative data from ∼10 700 children in the Early Childhood Longitudinal Study Birth Cohort who were followed from age 9 months through kindergarten entry. We assessed the contribution of socioeconomic factors and maternal, infancy, and early childhood obesity risk factors to racial and/or ethnic disparities in children's BMI z scores by using Blinder-Oaxaca decomposition analyses.ResultsThe prevalence of risk factors varied significantly by race and/or ethnicity. African American children had the highest prevalence of risk factors, whereas Asian children had the lowest prevalence. The major contributor to the BMI z score gap was the rate of infant weight gain during the first 9 months of life, which was a strong predictor of BMI z score at kindergarten entry. The rate of infant weight gain accounted for between 14.9% and 70.5% of explained disparities between white children and their racial and/or ethnic minority peers. Gaps in socioeconomic status were another important contributor that explained disparities, especially those between white and Hispanic children. Early childhood risk factors, such as fruit and vegetable consumption and television viewing, played less important roles in explaining racial and/or ethnic differences in children's BMI z scores.ConclusionsDifferences in rapid infant weight gain contribute substantially to racial and/or ethnic disparities in obesity during early childhood. Interventions implemented early in life to target this risk factor could help curb widening racial and/or ethnic disparities in early childhood obesity.
| S-EPMC5744272 | biostudies-literature
Project description:ObjectiveTo assess the extent to which racial/ethnic differences in ratings of patient experiences with health care represent true differences versus differences in expectations, how scales are used, or how identical physician-patient interactions are perceived by members of different groups.Study settingPrimary data collection from a nationally representative online panel (n=567), including white, African American, and Latino respondents.Study designWe administered questions on expectations of care, a series of written vignettes, a video-depicted doctor-patient interaction, and modified CAHPS Clinician and Group Doctor Communication items.Principal findingsDifferent groups reported generally similar expectations regarding physicians' behaviors and provided similar mean responses to CAHPS communication items in response to standardized encounters.ConclusionsPreliminary evidence suggests that unlike more subjective global ratings, reported disparities in more specific and objective CAHPS composites may primarily reflect differences in experiences, rather than differences in expectations and scale use, adding to our confidence in using the latter to assess disparities.
| S-EPMC3064916 | biostudies-literature
Project description:We examined racial/ethnic disparities in attention-deficit/hyperactivity disorder (ADHD) diagnosis and medication use and determined whether medication disparities were more likely due to underdiagnosis or undertreatment of African-American and Latino children, or overdiagnosis or overtreatment of white children.We used a population-based, multisite sample of 4297 children and parents surveyed over 3 waves (fifth, seventh, and 10th grades). Multivariate logistic regression examined disparities in parent-reported ADHD diagnosis and medication use in the following analyses: (1) using the total sample; (2) limited to children with an ADHD diagnosis or symptoms; and (3) limited to children without a diagnosis or symptoms.Across all waves, African-American and Latino children, compared with white children, had lower odds of having an ADHD diagnosis and of taking ADHD medication, controlling for sociodemographics, ADHD symptoms, and other potential comorbid mental health symptoms. Among children with an ADHD diagnosis or symptoms, African-American children had lower odds of medication use at fifth, seventh, and 10th grades, and Latino children had lower odds at fifth and 10th grades. Among children who had neither ADHD symptoms nor ADHD diagnosis by fifth grade (and thus would not likely meet ADHD diagnostic criteria at any age), medication use did not vary by race/ethnicity in adjusted analysis.Racial/ethnic disparities in parent-reported medication use for ADHD are robust, persisting from fifth grade to 10th grade. These findings suggest that disparities may be more likely related to underdiagnosis and undertreatment of African-American and Latino children as opposed to overdiagnosis or overtreatment of white children.
| S-EPMC5684883 | biostudies-literature
Project description:Background Racial and ethnic disparities contribute to differences in access and outcomes for patients undergoing heart transplantation. We evaluated contemporary outcomes for heart transplantation stratified by race and ethnicity as well as the new 2018 allocation system. Methods and Results Adult heart recipients from 2011 to 2020 were identified in the United Network for Organ Sharing database and stratified into 3 groups: Black, Hispanic, and White. We analyzed recipient and donor characteristics, and outcomes. Among 32 353 patients (25% Black, 9% Hispanic, 66% White), Black and Hispanic patients were younger, more likely to be women and have diabetes mellitus or renal disease (all, P<0.05). Over the study period, the proportion of Black and Hispanic patients listed for transplant increased: 21.7% to 28.2% (P=0.003) and 7.7% to 9.0% (P=0.002), respectively. Compared with White patients, Black patients were less likely to undergo transplantation (adjusted hazard ratio [aHR], 0.87; CI, 0.84-0.90; P<0.001), but had a higher risk of post-transplant death (aHR, 1.14; CI, 1.04-1.24; P=0.004). There were no differences in transplantation likelihood or post-transplant mortality between Hispanic and White patients. Following the allocation system change, transplantation rates increased for all groups (P<0.05). However, Black patients still had a lower likelihood of transplantation than White patients (aHR, 0.90; CI, 0.79-0.99; P=0.024). Conclusions Although the proportion of Black and Hispanic patients listed for cardiac transplantation have increased, significant disparities remain. Compared with White patients, Black patients were less likely to be transplanted, even with the new allocation system, and had a higher risk of post-transplantation death.
| S-EPMC8649228 | biostudies-literature
Project description:Background Workers of color experience a disproportionate share of work-related injuries and illnesses (WRII), however, most workers’ compensation systems do not collect race and ethnicity information, making it difficult to monitor trends over time, or to investigate specific policies and procedures that maintain or could eliminate the unequal burden of WRII for workers of color. The purpose of this study is to apply a Bayesian method to Washington workers’ compensation claims data to identify racial and ethnic disparities of WRII by industry and occupation, improving upon existing surveillance limitations. Measuring differences in risk for WRII will better inform prevention efforts and target prevention to those at increased risk. Methods To estimate WRII by race/ethnicity, we applied the Bayesian Improved Surname Geocode (BISG) method to surname and residential address data among all Washington workers’ compensation claims filed for injuries in 2013–2017. We then compare worker and injury characteristics by imputed race/ethnicity, and estimate rates of WRII by imputed race/ethnicity within industry and occupation. Results Black/African Americans had the highest rates of WRII claims across all industry and occupational sectors. Hispanic/Latino WRII claimants also had higher rates than Whites and Asian/Pacific Islanders in almost all industry and occupational sectors. For accepted claims with both medical and non-medical compensation, Bodily reaction/overexertion injuries accounted for almost half of the claims during this reporting period. Discussion The high rates of injury we report by racial/ethnic categories is a cause for major concern. Nearly all industry and occupation-specific rates of workers’ compensation claims are higher for Black/African American and Hispanic/Latino workers compared to Whites. More work is needed to identify work-related, systemic, and individual characteristics.
| S-EPMC9844878 | biostudies-literature