Racial/ethnic differences in risk factors associated with severe COVID-19 among older adults with ADRD

Objective To examine racial/ethnic differences in risk factors, and their associations with COVID-19-related outcomes among older adults with ADRD. Design Observational study. Setting and participants:National Medicare claims data and the Minimum Data Set 3.0 from 04/01/2020 to 12/31/2020 were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between 04/01/2020 and 12/01/2020 (N=138,533). Methods Two outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior healthcare utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (i.e., Whites, Blacks, and Hispanics). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial /ethnic subgroups using the coefficient comparison approach. Results We found higher risks of COVID-19-related outcomes among Blacks and Hispanics. The AUCs of the models with identified risk factors were 0.65-0.68 for mortality and 0.61-0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (e.g., age, gender, etc.) for COVID-19-related outcomes were common among all racial/ethnic subgroups, other risk factors (e.g., hypertension, obesity, etc.) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19-related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: [1.996, 2.841]), 64.7% (95% CI: [1.546, 1.755]), and 37.1% (95% CI: [1.192, 1.578]) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19-related outcomes could not be completely explained by the identified risk factors. Conclusions and Implications Racial/ethnic differences were detected in the likelihood of having COVID-19-related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19-related outcomes. Future research is needed to elucidate the reasons for these differences.

Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD.

OBJECTIVE: To examine racial/ethnic differences in risk factors, and their associations with COVID-19-related outcomes among older adults with Alzheimer's disease and related dementias (ADRD). DESIGN: Observational study. SETTING AND PARTICIPANTS: National Medicare claims data and the Minimum Data Set 3.0 from April 1, 2020, to December 31, 2020, were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between April 1, 2020, and December 1, 2020 (N = 138,533). METHODS: Two outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior health care utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (ie, White, Black, and Hispanic individuals). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial/ethnic subgroups using the coefficient comparison approach. RESULTS: We found higher risks of COVID-19-related outcomes among Black and Hispanic individuals. The areas under the curve of the models with identified risk factors were 0.65 to 0.68 for mortality and 0.61 to 0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (eg, age, gender) for COVID-19-related outcomes were common among all racial/ethnic subgroups, other risk factors (eg, hypertension, obesity) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19-related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: 1.996-2.841), 64.7% (95% CI: 1.546-1.755), and 37.1% (95% CI: 1.192-1.578) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19-related outcomes could not be completely explained by the identified risk factors. CONCLUSIONS AND IMPLICATIONS: Racial/ethnic differences were detected in the likelihood of having COVID-19-related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19-related outcomes. Future research is needed to elucidate the reasons for these differences.

Did the COVID-19 Pandemic Affect the Use of Antipsychotics Among Nursing Home Residents With ADRD?

OBJECTIVE: To examine whether and how the COVID-19 pandemic affected the use of antipsychotics among residents with Alzheimer's disease and related dementias in nursing homes. DESIGN: Observational study based on the Minimum Data Set and Medicare claims. SETTING: Medicare- and/or Medicaid-certified nursing homes. PARTICIPANTS: Nursing home residents diagnosed with Alzheimer's disease and related dementias between 2017 and 2020. MEASUREMENTS: The main outcome variable was any antipsychotic use during a quarter. The secondary outcome was certified nursing assistants' staffing hours per bed per day in a quarter. We categorized nursing homes into quartiles based on the distribution of nursing home racial and/or ethnic composition. To explore the relationship between the COVID-19 pandemic and the frequency of antipsychotic use, we estimated a linear probability model with robust standard errors, individual and facility random effects. We used a similar model for certified nursing assistant hours. RESULTS: About 23.7% of residents with ADRD had antipsychotic uses during the study period. The frequency of antipsychotic use declined from 23.7%-23.1% between the first quarter of 2017 (2017Q1) and the first quarter of 2020 (2020Q1) but increased to 24.8% by the last quarter of 2020 (2020Q4). Residents in all four racial and/or ethnic groups experienced an increase in antipsychotic use during the COVID-19 pandemic, but the extent of the increase varied by race and/or ethnicity. For example, while residents in the very-high minority nursing homes experienced a greater increase in antipsychotic use than did the residents of other nursing homes at the beginning of the pandemic, the increasing trend during the pandemic was smaller in the very-high minority nursing homes compared to the low-minority nursing homes (0.2 percentage points less, p<0.001, based on heteroskedasticity-robust t statistics, t = 3.67, df = 8,155,219). On average, the certified nursing assistant hours decreased from 1.8-1.7 hours per bed per day between 2017Q1 and 2020Q1, and further decreased to 1.5 hours per bed per day by 2020Q4. There was also a decreasing trend in staffing hours across all racial and/or ethnic groups during the pandemic. CONCLUSIONS AND RELEVANCE: The COVID-19 pandemic was associated with an increase in the use of antipsychotics among nursing home residents with Alzheimer's disease and related dementias and decreased staffing of certified nursing assistants, especially among nursing homes with a high minority penetration. Future research is needed to explore means for reducing antipsychotic use, particularly in homes with a high penetration of minority residents.

COVID-19 Cases and Death in Nursing Homes: The Role of Racial and Ethnic Composition of Facilities and Their Communities.

OBJECTIVES: To examine the extent to which the racial and ethnic composition of nursing homes (NHs) and their communities affects the likelihood of COVID-19 cases and death in NHs, and whether and how the relationship between NH characteristics and COVID-19 cases and death varies with the racial and ethnic composition of the community in which an NH is located. METHODS AND DESIGN: Centers for Medicare & Medicare Services Nursing Home COVID-19 data were linked with other NH- or community-level data (eg, Certification and Survey Provider Enhanced Reporting, Minimum Data Set, Nursing Home Compare, and the American Community Survey). SETTING AND PARTICIPANTS: NHs with more than 30 occupied beds (N=13,123) with weekly reported NH COVID-19 records between the weeks of June 7, 2020, and August 23, 2020. Measurements and model: Weekly indicators of any new COVID-19 cases and any new deaths (outcome variables) were regressed on the percentage of black and Hispanic residents in an NH, stratified by the percentage of blacks and Hispanics in the community in which the NH was located. A set of linear probability models with NH random effects and robust standard errors were estimated, accounting for other covariates. RESULTS: The racial and ethnic composition of NHs and their communities were both associated with the likelihood of having COVID-19 cases and death in NHs. The racial and ethnic composition of the community played an independent role in the likelihood of COVID-19 cases and death in NHs, even after accounting for the COVID-19 infection rate in the community (ie, daily cases per 1000 people in the county). Moreover, the racial and ethnic composition of a community modified the relationship between NH characteristics (eg, staffing) and the likelihoods of COVID-19 cases and death. CONCLUSIONS AND IMPLICATIONS: To curb the COVID-19 outbreaks in NHs and protect vulnerable populations, efforts may be especially needed in communities with a higher concentration of racial and ethnic minorities. Efforts may also be needed to reduce structural racism and address social risk factors to improve quality of care and population health in communities of color.