Disparities in Peripheral Artery Disease Hospitalizations Identified Among Understudied Race-Ethnicity Groups.
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ABSTRACT:
SUBMITTER: Chen L
PROVIDER: S-EPMC8180581 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundDementia is often underdiagnosed and this problem is more common among some ethnoracial groups.ObjectiveThe objective of this study was to examine racial and ethnic disparities in the timeliness of receiving a clinical diagnosis of dementia.Research designThis was a prospective cohort study.SubjectsA total of 3966 participants age 70 years and above with probable dementia in the Health and Retirement Study, linked with their Medicare and Medicaid claims.MeasuresWe performed logistic regression to compare the likelihood of having a missed or delayed dementia diagnosis in claims by race/ethnicity. We analyzed dementia severity, measured by cognition and daily function, at the time of a dementia diagnosis documented in claims, and estimated average dementia diagnosis delay, by race/ethnicity.ResultsA higher proportion of non-Hispanic Blacks and Hispanics had a missed/delayed clinical dementia diagnosis compared with non-Hispanic Whites (46% and 54% vs. 41%, P<0.001). Fully adjusted logistic regression results suggested more frequent missed/delayed dementia diagnoses among non-Hispanic Blacks (odds ratio=1.12; 95% confidence interval: 0.91-1.38) and Hispanics (odds ratio=1.58; 95% confidence interval: 1.20-2.07). Non-Hispanic Blacks and Hispanics had a poorer cognitive function and more functional limitations than non-Hispanic Whites around the time of receiving a claims-based dementia diagnosis. The estimated mean diagnosis delay was 34.6 months for non-Hispanic Blacks and 43.8 months for Hispanics, compared with 31.2 months for non-Hispanic Whites.ConclusionsNon-Hispanic Blacks and Hispanics may experience a missed or delayed diagnosis of dementia more often and have longer diagnosis delays. When diagnosed, non-Hispanic Blacks and Hispanics may have more advanced dementia. Public health efforts should prioritize racial and ethnic underrepresented communities when promoting early diagnosis of dementia.
| S-EPMC8263486 | biostudies-literature
Project description:In marked contrast to multiple myeloma, racial/ethnic minorities are underrepresented in publications of systemic light-chain (AL) amyloidosis. The impact of race/ethnicity is therefore lacking in the narrative of this disease. To address this gap, we compared disease characteristics, treatments, and outcomes across racial/ethnic groups in a referred cohort of patients with AL amyloidosis from 1990 to 2020. Among 2416 patients, 14% were minorities. Non-Hispanic Blacks (NHBs) comprised 8% and had higher-risk sociodemographic factors. Hispanics comprised 4% and presented with disproportionately more BU stage IIIb cardiac involvement (27% vs. 4-17%). At onset, minority groups were younger in age by 4-6 years. There was indication of more aggressive disease phenotype among NHBs with higher prevalence of difference between involved and uninvolved free light chains >180 mg/L (39% vs. 22-33%, P = 0.044). Receipt of stem cell transplantation was 30% lower in Hispanics compared to non-Hispanic White (NHWs) on account of sociodemographic and physiologic factors. Although the age/sex-adjusted hazard for death among NHBs was 24% higher relative to NHWs (P = 0.020), race/ethnicity itself did not impact survival after controlling for disease severity and treatment variables. These findings highlight the complexities of racial/ethnic disparities in AL amyloidosis. Directed efforts by providers and advocacy groups are needed to expand access to testing and effective treatments within underprivileged communities.
| S-EPMC7655813 | biostudies-literature
Project description:ImportanceUnderrepresentation of many racial/ethnic groups in Alzheimer disease (AD) clinical trials limits generalizability of results and hinders opportunities to examine potential effect modification of candidate treatments.ObjectiveTo examine racial and ethnic differences in recruitment methods and trial eligibility in a multisite preclinical AD trial.Design, setting, and participantsThis cross-sectional study analyzed screening data from the Anti-Amyloid in Asymptomatic AD study, collected from April 2014 to December 2017. Participants were categorized into 5 mutually exclusive ethnic/racial groups (ie, Hispanic, Black, White, Asian, and other) using participant self-report. Data were analyzed from May through December 2020 and included 5945 cognitively unimpaired older adults between the ages of 65 and 85 years screened at North American study sites.Main outcomes and measuresPrimary outcomes included recruitment sources, study eligibility, and ineligibility reasons. To assess the probability of trial eligibility, regression analyses were performed for the likelihood of being eligible after the first screening visit involving clinical and cognitive assessments.ResultsScreening data were included for 5945 participants at North American sites (mean [SD] age, 71.7 [4.9] years; 3524 women [59.3%]; 5107 White [85.9%], 323 Black [5.4%], 261 Hispanic [4.4%], 112 Asian [1.9%], and 142 [2.4%] who reported race or ethnicity as other). Recruitment sources differed by race and ethnicity. While White participants were recruited through a variety of sources, site local recruitment efforts resulted in the majority of Black (218 [69.2%]), Hispanic (154 [59.7%]), and Asian (61 [55.5%]) participants. Participants from underrepresented groups had lower mean years of education (eg, mean [SD] years: Hispanic participants, 15.5 [3.2] years vs White participants, 16.7 [2.8] years) and more frequently were women (226 [70.0%] Black participants vs 1364 [58.5%] White participants), were unmarried (184 [56.9%] Black participants vs 1364 [26.7%] White participants), and had nonspousal study partners (237 [73.4%] Black participants vs 2147 [42.0%] White participants). They were more frequently excluded for failure to meet cognitive inclusion criteria (eg, screen failures by specific inclusion criteria: 147 [45.5%] Black participants vs 1338 [26.2%] White participants). Compared with White participants, Black (odds ratio [OR], 0.43; 95% CI, 0.34-0.54; P < .001), Hispanic (OR, 0.53; 95% CI, 0.41-0.69; P < .001), and Asian participants (OR, 0.56; 95% CI, 0.38-0.82; P = .003) were less likely to be eligible after screening visit 1.Conclusions and relevanceRacial/ethnic groups differed in sources of recruitment, reasons for screen failure, and overall probability of eligibility in a preclinical AD trial. These results highlight the need for improved recruitment strategies and careful consideration of eligibility criteria when planning preclinical AD clinical trials.
| S-EPMC8261604 | biostudies-literature
Project description:ObjectiveTo efficiently estimate race/ethnicity using administrative records to facilitate health care organizations' efforts to address disparities when self-reported race/ethnicity data are unavailable.Data sourceSurname, geocoded residential address, and self-reported race/ethnicity from 1,973,362 enrollees of a national health plan.Study designWe compare the accuracy of a Bayesian approach to combining surname and geocoded information to estimate race/ethnicity to two other indirect methods: a non-Bayesian method that combines surname and geocoded information and geocoded information alone. We assess accuracy with respect to estimating (1) individual race/ethnicity and (2) overall racial/ethnic prevalence in a population.Principal findingsThe Bayesian approach was 74 percent more efficient than geocoding alone in estimating individual race/ethnicity and 56 percent more efficient in estimating the prevalence of racial/ethnic groups, outperforming the non-Bayesian hybrid on both measures. The non-Bayesian hybrid was more efficient than geocoding alone in estimating individual race/ethnicity but less efficient with respect to prevalence (p<.05 for all differences).ConclusionsThe Bayesian Surname and Geocoding (BSG) method presented here efficiently integrates administrative data, substantially improving upon what is possible with a single source or from other hybrid methods; it offers a powerful tool that can help health care organizations address disparities until self-reported race/ethnicity data are available.
| S-EPMC2653886 | biostudies-literature
Project description: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.
| S-EPMC7057732 | biostudies-literature
Project description:OBJECTIVE:The purpose of our study was to assess whether race/ethnicity was associated with seizure remission in pediatric epilepsy. METHODS:This was a retrospective population-based cohort study of children who were evaluated for new-onset epilepsy in the clinic, emergency department, and/or hospital by a pediatric neurologist in an integrated health care delivery system. Children were between ages 6 months and 15 years at their initial presentation of epilepsy. The cohort, identified through an electronic database, was assembled over 6 years, with no less than 5 years of follow-up. All children were evaluated for race, ethnicity, insurance type, and socioeconomic background. Patient outcome was determined at the conclusion of the study period and categorized according to their epilepsy control as either drug resistant (pharmacoresistant and intractable) or drug responsive (controlled, probable remission, and terminal remission). RESULTS:In the final cohort of 776 patients, 63% were drug responsive (control or seizure remission). After controlling for confounding socioeconomic and demographic factors, children of Hispanic ethnicity experienced reduced likelihood (hazard) of drug-responsive epilepsy (hazard ratio 0.6, P < .001), and had longer median time to remission (8 years; 95% CI 5.9-9.6 years) compared to white non-Hispanic patients (5.6 years; 95% CI 4.9-6.1 years). Among Hispanic patients, higher health care costs were associated with reduced likelihood of drug responsiveness. SIGNIFICANCE:We found that Hispanic ethnicity is associated with a reduced likelihood of achieving seizure control and remission. This study suggests that factors associated with the race/ethnicity of patients contributes to their likelihood of achieving seizure freedom.
| S-EPMC6842107 | biostudies-literature
Project description:BackgroundPrior studies demonstrated that wage disparities exist across race and ethnicity within selected health care occupations. Wage disparities may negatively affect the industry's ability to recruit and retain a diverse workforce throughout the career ladder.ObjectiveTo determine whether wage disparities by race and ethnicity persist across health care occupations and whether disparities vary across the skill spectrum.Research designRetrospective analysis of 2011-2018 data from the Current Population Survey using Blinder-Oaxaca decomposition regression methods to identify sources of variation in wage disparities. Separate models were run for 9 health care occupations.SubjectsEmployed individuals 18 and older working in health care occupations, categorized by race/ethnicity.MeasuresAnnual wages were predicted as a function of race/ethnicity, age, sex, marital status, having a child under 5 in the household, living in a metro area, highest education attained, and usual hours worked.ResultsNon-Hispanics consistently made more than Hispanic licensed practical/vocational nurses (LPNs/LVNs), aides/assistants, technicians, and community-based workers. Asian/Pacific Islanders consistently made more than Black, American Indian/Alaska Native, and Multiracial individuals across occupations except physicians, advanced practitioners, or therapists. Asian/Pacific Islanders only made significantly less when compared with White physicians, but more than White advanced practitioners, registered nurses, LPNs/LVNs, and aides/assistants. Based on observed attributes, Black registered nurses, LPNs/LVNs, and aides/assistants were predicted to make more than their White peers, but unexplained variation negated these gains.ConclusionsMany wage gaps remained unexplained based on measured factors warranting further study. Addressing wage disparities is critical to advance in careers and reduce job turnover.
| S-EPMC8428860 | biostudies-literature
Project description:Readmissions constitute a major health care burden among peripheral artery disease (PAD) patients. This study aimed to 1) estimate the zip code tabulation area (ZCTA)-level prevalence of readmission among PAD patients and characterize the effect of covariates on readmissions; and (2) identify hotspots of PAD based on estimated prevalence of readmission. Thirty-day readmissions among PAD patients were identified from the South Carolina Revenue and Fiscal Affairs Office All Payers Database (2010-2018). Bayesian spatial hierarchical modeling was conducted to identify areas of high risk, while controlling for confounders. We mapped the estimated readmission rates and identified hotspots using local Getis Ord (G*) statistics. Of the 232,731 individuals admitted to a hospital or outpatient surgery facility with PAD diagnosis, 30,366 (13.1%) experienced an unplanned readmission to a hospital within 30 days. Fitted readmission rates ranged from 35.3 per 1000 patients to 370.7 per 1000 patients and the risk of having a readmission was significantly associated with the percentage of patients who are 65 and older (0.992, 95%CI: 0.985-0.999), have Medicare insurance (1.013, 1.005-1.020), and have hypertension (1.014, 1.005-1.023). Geographic analysis found significant variation in readmission rates across the state and identified priority areas for targeted interventions to reduce readmissions.
| S-EPMC8751080 | biostudies-literature
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.
| S-EPMC5540644 | biostudies-literature
Project description:Colorectal cancer (CRC) and cardiovascular diseases (CVD) share several risk factors. We examined the relationships between CRC screening and CVD history by race/ethnicity and sex. Data from 15 states across the United States with high age-adjusted CVD rates from the 2012-2016 Behavioral Risk Factor Surveillance System were used to examine prevalence of self-reported screening for CRC among 179,276 adults ages 50-75 years with and without history of CVD. Multivariable logistic regression was used to evaluate the association between socio-demographics and CRC screening in the expansion and stable phases of the Affordable Care Act (ACA) era. Prevalence of CRC screening was high among those with history of CVD. After multivariable adjustment, Whites and Hispanics with CVD had 19% (95%[CI]: 1.13-1.26) and 50% (95%[CI]: 1.10-2.06) higher odds for CRC screening, respectively, versus those without CVD. Individuals in both sexes with CVD had higher odds for CRC screening compared those without CVD. Strikingly, the odds for CRC screening in Hispanics with history of CVD were 72% higher in the stable phase of the ACA era for the fully adjusted model. Whites and Hispanics with history of CVD are more likely to undergo CRC screening, perhaps due to greater exposure to the healthcare system due to CVD. This association was not observed in Blacks. Interventions are needed to improve CRC screening rates among Blacks, especially due to their well-documented higher risk of CVD.
| S-EPMC7773575 | biostudies-literature