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1.
J Am Heart Assoc ; 11(18): e026172, 2022 09 20.
Article in English | MEDLINE | ID: mdl-36102252

ABSTRACT

Background We sought to characterize health care usage for adolescents with congenital heart defects (CHDs) using population-based multisite surveillance data. Methods and Results Adolescents aged 11 to 18 years with ≥1 CHD-related diagnosis code and residing in 5 US sites were identified in clinical and administrative data sources for the years 2011 to 2013. Sites linked data on all inpatient, emergency department (ED), and outpatient visits. Multivariable log-binomial regression models including age, sex, unweighted Charlson comorbidity index, CHD severity, cardiology visits, and insurance status, were used to identify associations with inpatient, ED, and outpatient visits. Of 9626 eligible adolescents, 26.4% (n=2543) had severe CHDs and 21.4% had Charlson comorbidity index >0. At least 1 inpatient, ED, or outpatient visit was reported for 21%, 25%, and 96% of cases, respectively. Cardiology visits, cardiac imaging, cardiac procedures, and vascular procedures were reported for 38%, 73%, 10%, and 5% of cases, respectively. Inpatient, ED, and outpatient visits were consistently higher for adolescents with severe CHDs compared with nonsevere CHDs. Adolescents with severe and nonsevere CHDs had higher health care usage compared with the 2011 to 2013 general adolescent US population. Adolescents with severe CHDs versus nonsevere CHDs were twice as likely to have at least 1 inpatient visit when Charlson comorbidity index was low (Charlson comorbidity index =0). Adolescents with CHDs and public insurance, compared with private insurance, were more likely to have inpatient (adjusted prevalence ratio, 1.5 [95% CI, 1.3-1.7]) and ED (adjusted prevalence ratio, 1.6 [95% CI, 1.4-1.7]) visits. Conclusions High resource usage by adolescents with CHDs indicates a substantial burden of disease, especially with public insurance, severe CHDs, and more comorbidities.


Subject(s)
Heart Defects, Congenital , Adolescent , Delivery of Health Care , Emergency Service, Hospital , Heart Defects, Congenital/diagnosis , Heart Defects, Congenital/epidemiology , Heart Defects, Congenital/therapy , Humans , Population Surveillance/methods , Prevalence , United States/epidemiology
2.
Clin Lymphoma Myeloma Leuk ; 19(6): e312-e320, 2019 06.
Article in English | MEDLINE | ID: mdl-31029647

ABSTRACT

BACKGROUND: Although race and socioeconomic factors are associated with outcome in many malignancies, few studies have examined the effect of race and socioeconomic status on patients with mantle cell lymphoma (MCL). PATIENTS AND METHODS: We used the National Cancer Database to identify patients with MCL diagnosed between 2004 and 2013. We used χ2 and analysis of variance to assess associations of covariates with race/ethnicity. For univariate and multivariable analyses of overall survival (OS) we used Cox proportional hazards models. OS from the time of diagnosis was the primary end point. RESULTS: Of 18,120 MCL patients, 14,984 (83%) were white non-Hispanic (NH), 709 (4%) black NH, and 1096 (6%) Hispanic. Of these patients, 6798 (39%) had private insurance, 9520 (55%) Medicare, and 635 (4%) Medicaid. Compared with white NH race, black race was associated with treatment at an academic/research program (347 of 681 patients [51%] vs. 5577 of 14,851 [38%]), B symptoms (196 patients [28%] vs. 3 [25%]), Medicaid/uninsured status (101 patients [15%] vs. 642 [5%]), and residence in regions with lower average education and income (all P < .001). Compared with NH black and Hispanic patients, more white NH patients received stem cell transplantation (73 patients [10%] vs. 114 [10%] vs. 1891 [13%]; P < .001). In multivariable analysis, Hispanic ethnicity, private insurance, and treatment at an academic center were associated with better OS (5-year OS 55.8%, 66.2%, and 56.6%, respectively), whereas black race was associated with inferior OS (5-year OS 46.8%). CONCLUSION: We identified disparities according to race and ethnicity in OS, independent of insurance and socioeconomic status. Further assessment of treatment patterns might elucidate new targets for improving access to care and health outcomes for rare cancers.


Subject(s)
Ethnicity , Healthcare Disparities , Lymphoma, Mantle-Cell/epidemiology , Combined Modality Therapy , Female , Health Services Accessibility , Humans , Kaplan-Meier Estimate , Lymphoma, Mantle-Cell/diagnosis , Lymphoma, Mantle-Cell/mortality , Lymphoma, Mantle-Cell/therapy , Male , Neoplasm Staging , Patient Outcome Assessment , Population Surveillance , Proportional Hazards Models , Registries , Socioeconomic Factors
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