Dataset Information

Payer and race/ethnicity influence length and cost of childhood cancer hospitalizations.

ABSTRACT: BACKGROUND:Health disparities related to race, ethnicity, socioeconomic status, and insurance status impact quality, access, and health outcomes for children. Medicaid is a proxy for poverty and restricted access to health care. The goal of this study was to determine if there are discrepancies in the length and cost of hospitalizations between admissions covered by Medicaid or commercial insurance for pediatric patients with cancer. METHODS:Childhood cancer-related admissions were identified from the 2012 Kids Inpatient Database (KID) using the International Classification of Diseases, Ninth revision. Length of hospitalization and cost of hospitalization were compared among hospitalizations paid by Medicaid or commercial insurance. Total admission charges were converted to costs using cost-to-charge ratios, and survey weighting methods were used for all analyses. Linear multiple regression models for both length of hospitalization and cost were developed to include patient-level factors (race, sex, age, diagnosis, reason for admission). RESULTS:In 2012, there were 104 597 childhood cancer-related admissions. Hospitalizations paid by Medicaid were significantly longer than those paid by commercial insurance. Hispanic ethnicity was associated with higher cost of hospitalization regardless of payer, and black race was associated with higher costs within the Medicaid population. CONCLUSIONS:This analysis identifies differences in healthcare utilization for pediatric cancer-related admissions paid for by Medicaid compared with commercial insurance. Prolonged hospitalizations and increased costs create burdens on children and their families, medical delivery systems, and third-party payers. Further exploration into the causes of these disparities is warranted.

SUBMITTER: Whittle SB

PROVIDER: S-EPMC7057732 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Payer and race/ethnicity influence length and cost of childhood cancer hospitalizations.

Whittle Sarah B SB Lopez Michelle A MA Russell Heidi V HV

Pediatric blood & cancer 20190416 7

<h4>Background</h4>Health disparities related to race, ethnicity, socioeconomic status, and insurance status impact quality, access, and health outcomes for children. Medicaid is a proxy for poverty and restricted access to health care. The goal of this study was to determine if there are discrepancies in the length and cost of hospitalizations between admissions covered by Medicaid or commercial insurance for pediatric patients with cancer.<h4>Methods</h4>Childhood cancer-related admissions wer ...[more]

PMID: 30989762

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Project description:BackgroundThe impact of early adversity increases the risk of poor outcomes across the life course. Identifying factors that protect against or contribute to deleterious life outcomes represents an important step in resilience promotion among children exposed to adversity. Informed by resilience science, we hypothesized that family resilience mediates the relationship between adverse childhood experiences (ACEs) and child flourishing, and these pathways vary by race/ethnicity and income.MethodsWe conducted a secondary data analysis using the 2016-17 National Survey of Children's Health data reported by parents/guardians for 44,686 children age 6-17 years. A moderated-mediation model estimated direct, indirect, and total effects using a probit link function and stacked group approach with weighted least square parameter estimates.ResultsThe main variables were related in expected directions. Family resilience partially mediated the ACEs-flourishing association. Although White and socioeconomically advantaged families were more likely to maintain family resilience, their children functioned more poorly at high-risk levels relative to Black and Hispanic children and across income groups.ConclusionChildren suffer from cumulative adversity across race/ethnicity and income. Partial mediation of family resilience indicates that additional protective factors are needed to develop comprehensive strategies, while racial/ethnic differences underscore the importance of prevention and intervention programs that are culturally sensitive.ImpactThe key message of the article reinforces the notion that children suffer from cumulative adversity across race/ethnicity and income, and prevention of ACEs should be the number one charge of public policy, programs, and healthcare. This is the first study to examine family resilience in the National Survey Children's Health (NSCH) data set as mediating ACEs-flourishing by race/ethnicity and family poverty level. Examining an ACEs dose-response effect using population-based data within the context of risk and protective factors can inform a public health response resulting in a greater impact on prevention efforts.

Project description:BACKGROUND:National heart failure (HF) hospitalization rates have not been appropriately age standardized by sex or race/ethnicity. Reporting hospital utilization trends by subgroup is important for monitoring population health and developing interventions to eliminate disparities. METHODS AND RESULTS:The National Inpatient Sample (NIS) was used to estimate the crude and age-standardized rates of HF hospitalization between 2002 and 2013 by sex and race/ethnicity. Direct standardization was used to age-standardize rates to the 2000 US standard population. Relative differences between subgroups were reported. The national age-adjusted HF hospitalization rate decreased 30.8% from 526.86 to 364.66 per 100?000 between 2002 and 2013. Although hospitalizations decreased for all subgroups, the ratio of the age-standardized rate for men compared with women increased from 20% greater to 39% (P trend=0.002) between 2002 and 2013. Black men had a rate that was 229% (P trend=0.141) and black women, 240% (P trend=0.725) with reference to whites in 2013 with no significant change between 2002 and 2013. Hispanic men had a rate that was 32% greater in 2002 and the difference narrowed to 4% (P trend=0.047) greater in 2013 relative to whites. For Hispanic women, the rate was 55% greater in 2002 and narrowed to 8% greater (P trend=0.004) in 2013 relative to whites. Asian/Pacific Islander men had a 27% lower rate in 2002 that improved to 43% (P trend=0.040) lower in 2013 relative to whites. For Asian/Pacific Islander women, the hospitalization rate was 24% lower in 2002 and improved to 43% (P trend=0.021) lower in 2013 relative to whites. CONCLUSIONS:National HF hospitalization rates have decreased steadily during the recent decade. Disparities in HF burden and hospital utilization by sex and race/ethnicity persist. Significant population health interventions are needed to reduce the HF hospitalization burden among blacks. An evaluation of factors explaining the improvements in the HF hospitalization rates among Hispanics and Asian/Pacific Islanders is needed.

Project description:ImportanceAlthough US cancer survival rates have increased over time, disparities by race/ethnicity remain, including for children and adolescents.ObjectiveTo examine whether racial/ethnic disparities in childhood and adolescent cancer survival vary by cancer type according to relative survival rates (RSRs), a marker for amenability to medical intervention.Design, setting, and participantsIn a retrospective cohort study using US Surveillance, Epidemiology, and End Results data, 67?061 children and adolescents diagnosed at ages 0 to 19 years with a first primary malignant cancer from January 1, 2000, to December 31, 2016, were evaluated. Data analysis was performed from June 19 to November 3, 2019. Participants were followed up from the dates of diagnosis to cancer death or the end of the follow-up period, whichever came first.ExposuresRace/ethnicity defined as non-Hispanic white, non-Hispanic black, non-Hispanic American Indian/Alaskan Native, non-Hispanic Asian or Pacific Islander, or Hispanic (any race).Main outcomes and measuresCancer amenability was defined using 5-year RSRs for 103 cancer types. Cox proportional hazards regression was used to compute adjusted hazard ratios (aHRs) and 95% CIs for the association between race/ethnicity and cancer survival for high (>85% RSR), medium (70%-85% RSR), and low (<70% RSR) amenability categories.ResultsAmong 67?061 cancer cases, 36?064 were male (53.8%); most individuals were non-Hispanic white (35?186 [52.5%]) followed by Hispanic of any race (19?220 [28.7%]), non-Hispanic black (7100 [10.6%]), non-Hispanic Asian or Pacific Islander (4981 [7.4%]), and non-Hispanic American Indian/Alaskan Native (574 [0.9%]). Mean (SD) age at diagnosis was 9.66 (6.41) years. Compared with non-Hispanic white children and adolescents, a higher aHR of death was observed for high- than low-amenability cancers for non-Hispanic black patients (high: aHR, 1.59; 95% CI, 1.41-1.80 vs low: aHR, 1.35; 95% CI, 1.24-1.47; P?=?.002 for interaction) and Hispanic (any race) patients (high: aHR, 1.63; 95% CI, 1.50-1.78 vs low: aHR, 1.16; 95% CI, 1.08-1.25; P?<?.001 for interaction). Results for other race/ethnicities showed similar patterns but were not statistically significant.Conclusions and relevanceRacial/ethnic minority children and adolescents were observed to have a higher risk of death than non-Hispanic white children and adolescents, with more amenable cancers having larger relative survival differences. This disparity may be associated with a combination of factors, including differences in access to health care resources.

Project description:BackgroundLeukocyte telomere length(LTL) has been associated with age, self-reported race/ethnicity, gender, education, and psychosocial factors, including perceived stress, and depression. However, inconsistencies in associations of LTL with disease and other phenotypes exist across studies. Population characteristics, including race/ethnicity, laboratory methods, and statistical approaches in LTL have not been comprehensively studied and could explain inconsistent LTL associations.MethodsLTL was measured using Southern Blot in 1510 participants from a multi-ethnic, multi-center study combining data from 3 centers with different population characteristics and laboratory processing methods. Main associations between LTL and psychosocial factors and LTL and race/ethnicity were evaluated and then compared across generalized estimating equations(GEE) and linear regression models. Statistical models were adjusted for factors typically associated with LTL(age, gender, cancer status) and also accounted for factors related to center differences, including laboratory methods(i.e., DNA extraction). Associations between LTL and psychosocial factors were also evaluated within race/ethnicity subgroups (Non-hispanic Whites, African Americans, and Hispanics).ResultsBeyond adjustment for age, gender, and cancer status, additional adjustments for DNA extraction and clustering by center were needed given their effects on LTL measurements. In adjusted GEE models, longer LTL was associated with African American race (Beta(β)(standard error(SE)) = 0.09(0.04), p-value = 0.04) and Hispanic ethnicity (β(SE) = 0.06(0.01), p-value = 0.02) compared to Non-Hispanic Whites. Longer LTL was also associated with less than a high school education compared to having greater than a high school education (β(SE) = 0.06(0.02), p-value = 0.04). LTL was inversely related to perceived stress (β(SE) = -0.02(0.003), p<0.001). In subgroup analyses, there was a negative association with LTL in African Americans with a high school education versus those with greater than a high school education(β(SE) = -0.11(0.03), p-value<0.001).ConclusionsLaboratory methods and population characteristics that differ by center can influence telomere length associations in multicenter settings, but these effects could be addressed through statistical adjustments. Proper evaluation of potential sources of bias can allow for combined multicenter analyses and may resolve some inconsistencies in reporting of LTL associations. Further, biologic effects on LTL may differ under certain psychosocial and racial/ethnic circumstances and could impact future health disparity studies.

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Payer and race/ethnicity influence length and cost of childhood cancer hospitalizations.

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Payer and race/ethnicity influence length and cost of childhood cancer hospitalizations.

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