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Disentangling age, gender, and racial/ethnic disparities in multiple myeloma burden: a modeling study.

ABSTRACT: Multiple myeloma (MM) is a hematological malignancy that is consistently preceded by an asymptomatic condition, monoclonal gammopathy of undetermined significance (MGUS). Disparities by age, gender, and race/ethnicity in both MGUS and MM are well-established. However, it remains unclear whether these disparities can be explained by increased incidence of MGUS and/or accelerated progression from MGUS to MM. Here, we fit a mathematical model to nationally representative data from the United States and showed that the difference in MM incidence can be explained by an increased incidence of MGUS among male and non-Hispanic Black populations. We did not find evidence showing differences in the rate of progression from MGUS to MM by either gender or race/ethnicity. Our results suggest that screening for MGUS among high-risk groups (e.g., non-Hispanic Black men) may hold promise as a strategy to reduce the burden and MM health disparities.

SUBMITTER: Huber JH

PROVIDER: S-EPMC10511740 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Disentangling age, gender, and racial/ethnic disparities in multiple myeloma burden: a modeling study.

Huber John H JH Ji Mengmeng M Shih Yi-Hsuan YH Wang Mei M Colditz Graham G Chang Su-Hsin SH

Nature communications 20230920 1

Multiple myeloma (MM) is a hematological malignancy that is consistently preceded by an asymptomatic condition, monoclonal gammopathy of undetermined significance (MGUS). Disparities by age, gender, and race/ethnicity in both MGUS and MM are well-established. However, it remains unclear whether these disparities can be explained by increased incidence of MGUS and/or accelerated progression from MGUS to MM. Here, we fit a mathematical model to nationally representative data from the United States ...[more]

PMID: 37730703

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Project description:PurposeBlack and Hispanic cancer patients experience many worse care quality and health outcomes than non-Hispanic White patients, yet less is known about disparities in caregiving responsibilities and burden among cancer caregivers.MethodsWe analyzed cross-sectional data from Cancer Care Outcomes Research and Surveillance consortium, a large multi-regional, population-based study of colorectal and lung cancer patients and their caregivers. Bivariate and multivariable regression models assessed differences by racial and ethnic groups in caregiving responsibilities and social/emotional, financial, and health burdens. Structural equation models estimated whether sociocultural resources (social support, caregiving preparedness, caregiver-patient communication) mediated racial and ethnic differences in caregiver burden.ResultsCompared with non-Hispanic White caregivers (N = 1,169), Black (N = 220) and Hispanic (N = 84) caregivers spent more time caregiving (18 vs. 26 vs. 26 h/week; P < 0.001), completed more tasks (6.8 vs. 7.6 vs. 8.7; P < 0.05), and reported greater financial burden (P = 0.02). Yet, compared to non-Hispanic Whites, Hispanic caregivers reported similar social/emotional and health burdens, while Black caregivers reported lower levels (P < 0.01). In adjusted models, disparities in financial burden disappeared, and Hispanic caregivers had less health burden than non-Hispanic White caregivers (P = 0.01). Social support and/or caregiving preparedness partially mediated the Black-White gap for all three types of burdens.ConclusionsBlack and Hispanic cancer caregivers perform more caregiving and report greater financial burden than non-Hispanic White caregivers, but experience lower or equivalent social/emotional and health burdens. Racial differences in caregivers' social support and caregiving preparedness levels partially explain Black-White burden differences. Research and policy should address Black and Hispanic caregivers' increased financial burden.

Project description:BackgroundIn 2020, primary care practices adopted telemedicine as an alternative to in-person visits. Little is known about whether access to telemedicine was equitable, especially among older patients. Our objectives were to (1) examine older adults' use of telemedicine versus in-person primary care visits and (2) compare hospitalization for ambulatory care sensitive conditions (ACSCs) between the groups.MethodsIn this retrospective cross-sectional study of 17,103 patients aged ≥65 years seen at 32 clinics in the Mid-Atlantic, primary care patients were classified into two groups-telemedicine versus in person-based on the first visit between March and May 2020 and followed up for 14 days. Using multivariable logistic regression, we measured the odds of being seen via telemedicine versus in person as a function of patient demographics, comorbidities, and week of study period. We then measured the odds of ACSC hospitalization by visit modality.ResultsMean age was 75.1 years (SD, 7.5), 60.6% of patients were female, 64.6% white, 28.1% black, and 2.0% Hispanic. Overall, 60.3% of patients accessed primary care via telemedicine. Black (vs. white) patients had higher odds of using telemedicine (adjusted odds ratio [aOR], 1.30; 95% CI, 1.14-1.47) and Hispanic (vs. not Hispanic) patients had lower odds (aOR, 0.63; 95% CI, 0.42-0.92). Compared with the in-person group, patients in the telemedicine group had lower odds of ACSC hospitalization (aOR, 0.78; 95% CI, 0.61-1.00). Among patients who used telemedicine, black patients had 1.43 higher odds of ACSC hospitalization (95% CI, 1.02-2.01) compared with white patients. Patients aged 85 or older seen via telemedicine had higher odds of an ACSC hospitalization (aOR, 1.60; 95% CI, 1.03-2.47) compared with patients aged 65-74.ConclusionsThese findings support the use of telemedicine for primary care access for older adults. However, the observed disparities highlight the need to improve care quality and equity regardless of visit modality.

Dataset Information

Disentangling age, gender, and racial/ethnic disparities in multiple myeloma burden: a modeling study.

Publications

Disentangling age, gender, and racial/ethnic disparities in multiple myeloma burden: a modeling study.

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