Disparities in Preventable Hospitalization Among Patients With Alzheimer Diseases

Racial/Ethnic Disparities in Hospital Readmission and Frequent Hospitalizations Among Medicare Beneficiaries With Alzheimer's Disease and Related Dementia: Traditional Medicare Versus Medicare Advantage

OBJECTIVES

Examine racial/ethnic disparities in 30-day readmission and frequent hospitalizations among Medicare beneficiaries with dementia in traditional Medicare (TM) versus Medicare Advantage (MA).

METHODS

In this case-control study, we used 2018-2019 TM and MA claims data. Participants included individuals 65+ with 2 years of continuous enrollment, diagnosis of dementia, a minimum of 4 office visits in 2018, and at least 1 hospitalization in 2019, (cases: TM [n = 36,656]; controls: MA [n = 29,366]). We conducted matching based on health-need variables and applied generalized linear models adjusting for demographics, health-related variables, and healthcare encounters.

RESULTS

TM was associated with higher odds of 30-day readmission (OR = 1.07 [CI: 1.02 to 1.12]) and frequent hospitalizations (OR = 1.10 [CI: 1.06 to 1.14]) compared to MA. Hispanic and Black enrollees in TM had higher odds of frequent hospitalizations compared with Hispanic and Black enrollees in MA, respectively (OR = 1.35 [CI: 1.19 to 1.54]) and (OR = 1.26 [CI: 1.13 to 1.40]). MA was associated with lower Hispanic-White and Black-White disparities in frequent hospitalizations by 5.8 (CI: -0.09 to -0.03) and 4.4 percentage points (PP; CI: -0.07 to -0.02), respectively. For 30-day readmission, there was no significant difference between Black enrollees in TM and MA (OR = 1.04 [CI: 0.92 to 1.18]), but Hispanic enrollees in TM had higher odds of readmission than Hispanics in MA (OR = 1.23 [CI: 1.06 to 1.43]). MA was associated with a lower Hispanic-White disparity in readmission by 1.9 PP (CI: -0.004 to -0.01).

DISCUSSION

MA versus TM was associated with lower risks of 30-day readmission and frequent hospitalizations. Moreover, MA substantially reduced Hispanic-White and Black-White disparities in frequent hospitalizations compared with TM.

Mapping racial and ethnic healthcare disparities for persons living with dementia: A scoping review

INTRODUCTION

We set out to map evidence of disparities in Alzheimer's disease and Alzheimer's disease related dementias healthcare, including issues of access, quality, and outcomes for racial/ethnic minoritized persons living with dementia (PLWD) and family caregivers.

METHODS

We conducted a scoping review of the literature published from 2000 to 2022 in PubMed, PsycINFO, and CINAHL. The inclusion criteria were: (1) focused on PLWD and/or family caregivers, (2) examined disparities or differences in healthcare, (3) were conducted in the United States, (4) compared two or more racial/ethnic groups, and (5) reported quantitative or qualitative findings.

RESULTS

Key findings include accumulating evidence that minoritized populations are less likely to receive an accurate and timely diagnosis, be prescribed anti-dementia medications, and use hospice care, and more likely to have a higher risk of hospitalization and receive more aggressive life-sustaining treatment at the end-of-life.

DISCUSSION

Future studies need to examine underlying processes and develop interventions to reduce disparities while also being more broadly inclusive of diverse populations.

Disparities in 30-day readmission rates among Medicare enrollees with dementia

BACKGROUND

Readmissions contribute to excessive care costs and burden for people living with dementia. Assessments of racial disparities in readmissions among dementia populations are lacking, and the role of social and geographic risk factors such as individual-level exposure to greater neighborhood disadvantage is poorly understood. We examined the association between race and 30-day readmissions in a nationally representative sample of Black and non-Hispanic White individuals with dementia diagnoses.

METHODS

This retrospective cohort study used 100% Medicare fee-for-service claims from all 2014 hospitalizations nationwide among Medicare enrollees with dementia diagnosis linked to patient, stay, and hospital factors. The sample consisted of 1,523,142 hospital stays among 945,481 beneficiaries. The relationship between all cause 30-day readmissions and the explanatory variable of self-reported race (Black, non-Hispanic White) was examined via generalized estimating equations approach adjusting for patient, stay, and hospital-level characteristics to model 30-day readmission odds.

RESULTS

Black Medicare beneficiaries had 37% higher readmission odds compared to White beneficiaries (unadjusted OR 1.37, CI 1.35-1.39). This heightened readmission risk persisted after adjusting for geographic factors (OR 1.33, CI 1.31-1.34), social factors (OR 1.25, CI 1.23-1.27), hospital characteristics (OR 1.24, CI 1.23-1.26), stay-level factors (OR 1.22, CI 1.21-1.24), demographics (OR 1.21, CI 1.19-1.23), and comorbidities (OR 1.16, CI 1.14-1.17), suggesting racially-patterned disparities in care account for a portion of observed differences. Associations varied by individual-level exposure to neighborhood disadvantage such that the protective effect of living in a less disadvantaged neighborhood was associated with reduced readmissions for White but not Black beneficiaries. Conversely, among White beneficiaries, exposure to the most disadvantaged neighborhoods associated with greater readmission rates compared to White beneficiaries residing in less disadvantaged contexts.

CONCLUSIONS

There are significant racial and geographic disparities in 30-day readmission rates among Medicare beneficiaries with dementia diagnoses. Findings suggest distinct mechanisms underlying observed disparities differentially influence various subpopulations.

Pain Impacting Quality of Life in Persons with Dementia Dying in the Nursing Home by Alternative Medicare Payment Model

Background: Medicare alternative payment models were created to improve health care value by controlling costs and improving care quality. Objective: To determine if prevalence of pain affecting quality of life (QoL) differs by Medicare payment model among nursing home (NH) decedents with dementia at the end of life. Setting/Subjects: NH decedents in 2017/2018 in the United States with dementia who self-reported pain on a Minimum Data Set assessment in the last 30 days of life. Measurements: Main outcome was pain impacting QoL (i.e., affecting day-to-day activities or sleep). Multivariable logistic analysis examined the association between payment model (traditional Medicare [TM], Medicare Advantage [MA], or accountable care organizations [ACOs]) and pain impacting QoL after controlling for potential confounders. Results: There were 115,757 NH residents with dementia who self-reported pain in the last 30 days of life. Of those, 17.8% (n = 20,585) reported having pain the last five days from assessment, which varied by Medicare payment model (17.7% in TM, 17.5% in MA, and 19.1% in ACOs; p < 0.001). Among decedents reporting pain, 23.6% of ACO decedents reported pain affecting QoL compared to 22.1% in MA and 21.6% in TM (p = 0.09). After adjustment, decedents in ACOs compared to TM had greater predicted probability of pain affecting QoL (absolute marginal difference 0.017, 95% CI 0.00-0.035, p = 0.05), and persons in MA did not differ from persons in TM (absolute marginal difference 0.005, 95% CI -0.008 to 0.019, p = 0.41). Conclusions and Implications: Among dementia decedents dying with pain, pain impacted QoL in more than one in five persons. All payment models can improve pain management.

An HIT-Supported Care Coordination Framework for Reducing Structural Racism and Discrimination for Patients With ADRD

Black and Latinx Americans are disproportionately at greater risk for having Alzheimer's disease and related dementias (ADRD) than White Americans. Such differences in risk for ADRD are arguably explained through health disparities, social inequities, and historical policies. Structural racism and discrimination (SRD), defined as "macro-level conditions that limit opportunities, resources, and well-being of less privileged groups," have been linked with common comorbidities of ADRD, including hypertension, obesity, diabetes, depression. Given the historical impact of SRD-including discriminatory housing policies resulting in racial residential segregation that has been shown to limit access to education, employment, and healthcare-Black and Latinx populations with ADRD are directly or indirectly negatively affected by SRD in terms of access, quality and cost for healthcare. Emerging studies have brought to light the value of structural-level hospital and public health collaboration on care coordination for improving healthcare quality and access, and thus could serve as a macro-level mechanism for addressing disparities for minoritized racial and ethnic populations with ADRD. This paper presents a conceptual framework delineating how care coordination can successfully be achieved through health information technology (HIT) systems and ultimately address SRD. To address health inequities, it is therefore critical that policy initiatives invest in HIT capacities and infrastructures to promote care coordination, identify patient needs and preferences, and promote engagement of patients with ADRD and their caregivers.

Consumer Assessment of Healthcare Providers and Systems Among Racial and Ethnic Minority Patients With Alzheimer Disease and Related Dementias

IMPORTANCE

Consumer Assessment of Healthcare Providers and Systems (CAHPS) measures have been used widely to measure patient-centered care. Evidence is needed to understand CAHPS measures among racial and ethnic minority patients with Alzheimer disease and related dementias (ADRD).

OBJECTIVE

To examine racial and ethnic disparities in CAHPS among patients with ADRD and to examine the association between social determinants of health and CAHPS disparities.

DESIGN, SETTING, AND PARTICIPANTS

This study focused on patients with ADRD who were enrolled in Medicare Shared Savings Program Accountable Care Organizations (ACOs). The primary data sets were the 2017 Medicare Beneficiary Summary File and the beneficiary-level ACO data. The study population was limited to community-based beneficiaries who had a diagnosis of ADRD and were aged 65 years and older. Cross-sectional analyses and the decomposition approach were implemented. Data were analyzed from November 2021 to July 2022.

EXPOSURE

Enrollment in a Medicare Shared Savings Program ACO.

MAIN OUTCOMES AND MEASURES

Six ACO CAHPS measures were included: getting timely care, appointments, and information; how well providers communicate; patients' rating of provider; access to specialists; health promotion and education; and shared decision-making. ACO CAHPS were continuous measures with possible ranges from 0 to 100. The summation of these 6 measures as an overall index was also created. In CAHPS measures, the term provider can include hospitals, home health care agencies, and doctors, among others.

RESULTS

The final sample included 568 368 beneficiaries (347 783 female patients [61.2%]; 38 030 African American patients [6.69%], 6258 Asian patients [1.10%], 18 231 Hispanic patients [3.21%], and 505 849 White patients [89.0%]; mean [SD] age, 82.17 [7.95] years). Significant racial and ethnic disparities in CAHPS scores were observed. After controlling for beneficiary, hospital, and area characteristics, compared with their White counterparts, African American or Black (coefficient = -1.05; 95% CI, -1.15 to -0.95; P < .001), Asian (coefficient = -0.414; 95% CI, -0.623 to -0.205; P < .001), and Hispanic (coefficient = -0.099; 95% CI, -0.229 to 0.032; P = .14) patients with ADRD reported lower total CAHPS scores. Disparities were also observed among individual ACO CAHPS. Decomposition results showed that a proxy for social determinants of health explained 10% to 13% of disparities of ACO CAHPS between African American or Black vs White and Hispanic vs White patients with ADRD. Most of the racial and ethnic disparities, especially those between White and Asian individuals, could not be explained by the models used to analyze data.

CONCLUSIONS AND RELEVANCE

These results demonstrated significant variations in CAHPS by race and ethnicity among patients with ADRD enrolled in ACOs. Social determinants of health are critical in explaining racial and ethnic disparities. More research is needed to explain disparities in CAHPS.

Preemptive Diagnosis of Alzheimer’s Disease in the Eastern Province of Saudi Arabia Using Computational Intelligence Techniques

Alzheimer’s Disease (AD) is a silent disease that causes the brain cells to die progressively, influencing consciousness, behavior, planning ability, and language to name a few. AD increases exponentially with aging, where it doubles every 5-6 years, causing profound implications, such as swallowing difficulties and losing the ability to speak before death. According to the Ministry of Health in Saudi Arabia, AD patients will triple by 2060 to reach 14 million patients worldwide. The rapid rise of patients is caused by the silent progress of the disease, leading to late diagnosis as the symptoms will not be distinguished from normal aging affect. Moreover, with the current medical capabilities, it is impossible to confirm AD with 100% certainty via specific medical examinations. The literature review revealed that most recent publications used images to diagnose AD, which is insufficient for local hospitals with limited imaging capabilities. Other studies that used clinical and demographical data failed to achieve adequate results. Consequently, this study aims to preemptively predict AD in Saudi Arabia by employing machine learning (ML) techniques. The dataset was acquired from King Fahad Specialist Hospital (KFSH) in Dammam, Saudi Arabia, containing standard clinical tests for 152 patients. Four ML algorithms, namely, support vector machine (SVM), k-nearest neighbors (k-NN), Adaptive Boosting (AdaBoost), and eXtreme Gradient Boosting (XGBoost), were employed to preemptively diagnose the disease. The empirical results demonstrated the robustness of SVM in the pre-emptive diagnosis of AD with accuracy, precision, recall, and area under the receiver operating characteristics (AUROC) of 95.56%, 94.70%, 97.78%, and 0.97, respectively, with 13 features after applying the sequential forward feature selection technique. This model can assist the medical staff in controlling the progression of the disease at low costs.

Genetic Counselling Improves the Molecular Characterisation of Dementing Disorders

Dementing disorders are a complex group of neurodegenerative diseases characterised by different, but often overlapping, pathological pathways. Genetics have been largely associated with the development or the risk to develop dementing diseases. Recent advances in molecular technologies permit analyzing of several genes in a small time, but the interpretation analysis is complicated by several factors: the clinical complexity of neurodegenerative disorders, the frequency of co-morbidities, and the high phenotypic heterogeneity of genetic diseases. Genetic counselling supports the diagnostic path, providing an accurate familial and phenotypic characterisation of patients. In this review, we summarise neurodegenerative dementing disorders and their genetic determinants. Genetic variants and associated phenotypes will be divided into high and low impact, in order to reflect the pathologic continuum between multifactorial and mendelian genetic factors. Moreover, we report a molecular characterisation of genes associated with neurodegenerative disorders with cognitive impairment. In particular, the high frequency of rare coding genetic variants in dementing genes strongly supports the role of geneticists in both, clinical phenotype characterisation and interpretation of genotypic data. The smart application of exome analysis to dementia patients, with a pre-analytical selection on familial, clinical, and instrumental features, improves the diagnostic yield of genetic test, reduces time for diagnosis, and allows a rapid and personalised management of disease.