Racial Disparities Vary by Patient Life Expectancy in Screening for Breast, Prostate, and Colorectal Cancers

Racial Disparities in Low-Value Care in the Last Year of Life for Medicare Beneficiaries With Neurodegenerative Disease

Background and Objectives

There are racial disparities in health care services received by patients with neurodegenerative diseases, but little is known about disparities in the last year of life, specifically in high-value and low-value care utilization. This study evaluated racial disparities in the utilization of high-value and low-value care in the last year of life among Medicare beneficiaries with dementia or Parkinson disease.

Methods

This was a retrospective, population-based cohort analysis using data from North and South Carolina fee-for-service Medicare claims between 2013 and 2017. We created a decedent cohort of beneficiaries aged 50 years or older at diagnosis with dementia or Parkinson disease. Specific low-value utilization outcomes were selected from the Choosing Wisely initiative, including cancer screening, peripheral artery stenting, and feeding tube placement in the last year of life. Low-value outcomes included hospitalization, emergency department visits, neuroimaging services, and number of days receiving skilled nursing. High-value outcomes included receipt of occupational and physical therapy, hospice care, and medications indicated for dementia and/or Parkinson disease.

Results

Among 70,650 decedents, 13,753 were Black, 55,765 were White, 93.1% had dementia, and 7.7% had Parkinson disease. Adjusting for age, sex, Medicaid dual enrollment status, rural vs urban location, state (NC and SC), and comorbidities, Black decedents were more likely to receive low-value care including colorectal cancer screening (adjusted hazard ratio [aHR] 1.46 [1.32-1.61]), peripheral artery stenting (aHR 1.72 [1.43-2.08]), and feeding tube placement (aHR 2.96 [2.70-3.24]) and less likely to receive physical therapy (aHR 0.73 [0.64-0.85)], dementia medications (aHR 0.90 [0.86-0.95]), or Parkinson disease medications (aHR 0.88 [0.75-1.02]) within the last year of life. Black decedents were more likely to be hospitalized (aHR 1.28 [1.25-1.32]), more likely to be admitted to skilled nursing (aHR 1.09 [1.05-1.13]), and less likely to be admitted to hospice (aHR 0.82 [0.79-0.85]) than White decedents.

Discussion

We found racial disparities in care utilization among patients with neurodegenerative disease in the last year of life, such that Black decedents were more likely to receive specific low-value care services and less likely to receive high-value supportive care than White decedents, even after adjusting for health status and socioeconomic factors.

Variation in Receipt of Cancer Screening and Immunizations by 10-year Life Expectancy among U.S. Adults aged 65 or Older in 2019

IMPORTANCE

The likelihood of benefit from a preventive intervention in an older adult depends on its time-to-benefit and the adult's life expectancy. For example, the time-to-benefit from cancer screening is >10 years, so adults with <10-year life expectancy are unlikely to benefit.

OBJECTIVE

To examine receipt of screening for breast, prostate, or colorectal cancer and receipt of immunizations by 10-year life expectancy.

DESIGN

Analysis of 2019 National Health Interview Survey.

PARTICIPANTS

8,329 non-institutionalized adults >65 years seen by a healthcare professional in the past year, representing 46.9 million US adults.

MAIN MEASURES

Proportions of breast, prostate, and colorectal cancer screenings, and immunizations, were stratified by 10-year life expectancy, estimated using a validated mortality index. We used logistic regression to examine receipt of cancer screening and immunizations by life expectancy and sociodemographic factors.

KEY RESULTS

Overall, 54.7% of participants were female, 41.4% were >75 years, and 76.4% were non-Hispanic White. Overall, 71.5% reported being current with colorectal cancer screening, including 61.4% of those with <10-year life expectancy. Among women, 67.0% reported a screening mammogram in the past 2 years, including 42.8% with <10-year life expectancy. Among men, 56.8% reported prostate specific antigen screening in the past two years, including 48.3% with <10-year life expectancy. Reported receipt of immunizations varied from 72.0% for influenza, 68.8% for pneumococcus, 57.7% for tetanus, and 42.6% for shingles vaccination. Lower life expectancy was associated with decreased likelihood of cancer screening and shingles vaccination but with increased likelihood of pneumococcal vaccination.

CONCLUSIONS

Despite the long time-to-benefit from cancer screening, in 2019 many US adults age >65 with <10-year life expectancy reported undergoing cancer screening while many did not receive immunizations with a shorter time-to-benefit. Interventions to improve individualization of preventive care based on older adults' life expectancy may improve care of older adults.

Validating a model for predicting breast cancer and nonbreast cancer death in women aged 55 years and older

BACKGROUND

To support mammography screening decision making, we developed a competing-risk model to estimate 5-year breast cancer risk and 10-year nonbreast cancer death for women aged 55 years and older using Nurses' Health Study data and examined model performance in the Black Women's Health Study (BWHS). Here, we examine model performance in predicting 10-year outcomes in the BWHS, Women's Health Initiative-Extension Study (WHI-ES), and Multiethnic Cohort (MEC) and compare model performance to existing breast cancer prediction models.

METHODS

We used competing-risk regression and Royston and Altman methods for validating survival models to calculate our model's calibration and discrimination (C index) in BWHS (n = 17 380), WHI-ES (n = 106 894), and MEC (n = 49 668). The Nurses' Health Study development cohort (n = 48 102) regression coefficients were applied to the validation cohorts. We compared our model's performance with breast cancer risk assessment tool (Gail) and International Breast Cancer Intervention Study (IBIS) models by computing breast cancer risk estimates and C statistics.

RESULTS

When predicting 10-year breast cancer risk, our model's C index was 0.569 in BWHS, 0.572 in WHI-ES, and 0.576 in MEC. The Gail model's C statistic was 0.554 in BWHS, 0.564 in WHI-ES, and 0.551 in MEC; IBIS's C statistic was 0.547 in BWHS, 0.552 in WHI-ES, and 0.562 in MEC. The Gail model underpredicted breast cancer risk in WHI-ES; IBIS underpredicted breast cancer risk in WHI-ES and in MEC but overpredicted breast cancer risk in BWHS. Our model calibrated well. Our model's C index for predicting 10-year nonbreast cancer death was 0.760 in WHI-ES and 0.763 in MEC.

CONCLUSIONS

Our competing-risk model performs as well as existing breast cancer prediction models in diverse cohorts and predicts nonbreast cancer death. We are developing a website to disseminate our model.