Prevalence of Chronic Conditions and Multimorbidities in a Geographically Defined Geriatric Population With Diverse Races and Ethnicities

The Disproportionate Impact of Primary Care Disruption and Telehealth Utilization During COVID-19

PURPOSE

The COVID-19 pandemic not only exacerbated existing disparities in health care in general but likely worsened disparities in access to primary care. Our objective was to quantify the nationwide decrease in primary care visits and increase in telehealth utilization during the pandemic and explore whether certain groups of patients were disproportionately affected.

METHODS

We used a geographically diverse primary care electronic health record data set to examine the following 3 outcomes: (1) change in total visit volume, (2) change in in-person visit volume, and (3) the telehealth conversion ratio defined as the number of pandemic telehealth visits divided by the total number of prepandemic visits. We assessed whether these outcomes were associated with patient characteristics including age, gender, race, ethnicity, comorbidities, rurality, and area-level social deprivation.

RESULTS

Our primary sample included 1,652,871 patients from 408 practices. During the pandemic we observed decreases of 7% and 17% in total and in-person visit volume and a 10% telehealth conversion ratio. The greatest decreases in visit volume were observed among pediatric patients (-24%), Asian patients (-11%), and those with more comorbidities (-9%). Telehealth usage was greatest among Hispanic or Latino patients (17%) and those living in urban areas (12%).

CONCLUSIONS

Decreases in primary care visit volume were partially offset by increasing telehealth use for all patients during the COVID-19 pandemic, but the magnitude of these changes varied significantly across all patient characteristics. These variations have implications not only for the long-term consequences of the COVID-19 pandemic, but also for planners seeking to ready the primary care delivery system for any future systematic disruptions.

Racial and Ethnic Variations in Pre-Diagnosis Comorbidity Burden and Health-Related Quality of Life Among Older Women with Breast Cancer

BACKGROUND

This study examined racial/ethnic differences in comorbidity burden and health-related quality of life (HRQOL) among older women before breast cancer diagnosis.

METHODS

From Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) linked data resource, 2513 women diagnosed with breast cancer at ≥ 65 years between 1998 and 2012 were identified and grouped based on comorbidity burden using latent class analysis. Pre-diagnosis HRQOL was measured using SF-36/VR-12 and summarized to physical (PCS) and mental component summary (MCS) scores. The adjusted least-square means and 95% confidence intervals were obtained according to comorbidity burden and race/ethnicity. The interactions were examined with 2-way ANOVA.

RESULTS

The latent class analysis revealed four comorbid burden classes, with Class 1 being the most healthy and Class 4 being the least healthy. African American (AA) and Hispanic women were more likely to be in Class 4 than non-Hispanic white (NHW) women (18.6%, 14.8%, and 8.3%, respectively). The mean PCS was 39.3 and differed by comorbidity burden and race/ethnicity (Pinteraction < 0.001). There were no racial/ethnic differences in Classes 1 and 2, while NHW women reported significantly lower PCS scores than AA women in Classes 3 and 4. The mean MCS was 51.4 and differed by comorbidity burden and race/ethnicity (Pinteraction < 0.001). There was no racial/ethnic difference in Class 3; however, AA women reported lower MCS scores than Asian/Pacific Islander women in Class 1, and AA and Hispanic women reported lower MCS scores than NHW women in Classes 2 and 4.

CONCLUSION

Comorbidity burden negatively affected HRQOL but differentially for racial/ethnic groups. As the comorbidity burden increases, NHW women are more concerned with physical HRQOL, while AA and Hispanic women are more concerned with mental HRQOL.

Predictors of developing renal dysfunction following diagnosis of transthyretin cardiac amyloidosis

BACKGROUND

In patients with transthyretin cardiac amyloidosis (ATTR-CA), renal dysfunction is a poor prognostic indicator. Limited data are available on variables that portend worsening renal function (wRF) among ATTR-CA patients.

OBJECTIVES

This study assesses which characteristics place patients at higher risk for the development of wRF (defined as a drop of ≥10% in glomerular filtration rate [GFR]) within the first year following diagnosis of ATTR-CA.

METHODS

We included patients with ATTR-CA (n = 134) evaluated between 2/2016 and 12/2022 and followed for up to 1 year at our amyloid clinic. Patients were stratified into two groups: a group with maintained renal function (mRF) and a group with wRF and compared using appropriate testing. Significant variables in the univariate analysis were included in the multivariable logistic regression model to determine characteristics associated with wRF.

RESULTS

Within a follow-up period of 326 ± 118 days, the median GFR% change measured -6% [-18%, +8]. About 41.8% (n = 56) had wRF, while the remainder had mRF. In addition, in patients with no prior history of chronic kidney disease (CKD), 25.5% developed de novo CKD. On multivariable logistic regression, only New York Heart Association (NYHA) class ≥III (odds ratio [OR]: 3.9, 95% confidence interval [CI]: [1.6-9.3]), history of ischemic heart disease (IHD) (OR: 0.3, 95% CI: [0.1-0.7]), and not receiving SGLT-2i (OR: 0.1, 95% CI: [0.02-0.5]) were significant predictors of wRF.

CONCLUSION

Our study demonstrated that the development of de novo renal dysfunction or wRF is common following the diagnosis of ATTR-CA. Additionally, we identified worse NYHA class and no prior history of IHD as significant predictors associated with developing wRF, while receiving SGLT-2i therapy appeared to be protective in this population.

Critical Perspectives on Expanding Racial/Ethnic Diversity in the HIV Research Workforce: Comorbidities and Mentoring

HIV-related comorbidities in underrepresented minority populations are reframed to include the co-occurring problems of systemic and structural barriers, within the mentoring context as a buffer and as action-oriented. This framework is discussed to improve racial and ethnic minority diversity in the research workforce from the perspectives of HIV comorbidities and mentoring. An integrated and coordinated approach to HIV-related comorbidities and inequities may be helpful when combined with research on the social-structural contributions as drivers to diversify the research workforce. We emphasize how these key research issues (a) provide a platform for training and retraining a highly motivated, diverse workforce and (b) facilitate the empowerment of these trained individuals to conduct rigorous scientific research on social-structural factors to mitigate the effects of these comorbidities. We conclude that a diverse research workforce is necessary but insufficient for improving training-related outcomes or reducing comorbidity effects. Additional considerations are warranted that include systemic approaches and changes at the structural and institutional levels.

Care Need Combinations for Dementia Patients with Multiple Chronic Diseases

Purpose

The purpose of this study was to find care need combinations for dementia patients with multiple chronic diseases and their caregivers.

Patients and Methods

A cross-sectional study was conducted with 83 patients who had multiple chronic diseases. Variables from patients included age, gender, severity of clinical dementia rating, feeding, hypnotics, mobility, getting lost, mood symptoms, and behavioral and psychological symptoms. Moreover, 26 types of care needs were included in this study. The Apriori algorithm was employed to first identify care need combinations and then to find the relationships between care needs and variables from dementia patients with multiple chronic diseases.

Results

Six rules were generated for care need combinations. Four care needs could be formed as a basic care need bundle. Moreover, two additional care needs could be added to provide a wider coverage for patients. In the second stage, 93 rules were found and categorized into three groups, including 2, 6, and 28 general rules with support of 30% but less than 40%, 20% but less than 30%, and 10% but less than 20%, respectively. When the support value is 10% but less than 20%, more variables from patients were found in rules which help the dementia collaborative care team members provide tailor-made care need bundles.

Conclusion

Four basic care needs were social resources referral and legal support (Care (1)), drug knowledge education (Care (3)), memory problem care (Care (5)), and fall prevention (Care (8)). Besides, disease knowledge education (Care (2)) and hypertension care (Care (16)) were frequent unmet needs in this specific population. Moreover, care for the mood of the caregiver (Care (11)) should be considered especially in dementia patients with preserved ambulatory function or with symptoms of hallucination. The collaborative care team should pay more attention to those care needs when assessing this specific population.

Research trends in the mental health and multimorbidity of older people from 2002 to 2022: A bibliometric analysis via CiteSpace

Purpose

Using bibliometric analysis, the objective of this study was to identify research hotspots and trends on multimorbidity and mental health in older adults. This could help guide future research on this topic.

Methods

We searched the Web of Science Core Collection for eligible studies. Type of publications were not restricted and the timeframe was set between 2002 and 2022. Knowledge maps were created using CiteSpace to visualize publications, nations, journals, institutions, authors, cited references, and keywords. Microsoft Excel displayed pertinent tables.

Results

A total of 216 studies were collected for analysis. The annual publication over the past 20 years demonstrated an upward trend. The main contributors in publications were in North America, Europe, Asia, and Oceania, of which aging was a primary issue. However, collaboration between countries, institutions, and authors were relatively sparce. Cluster analysis and co-citation analysis of references and keywords revealed that the research field could be subdivided into four themes: social psychology as the fundamental disciplinary base, Prevalence of mental disorders and multimorbidity in older adults, pertinent health conditions, and effective interventions. Research trends at present lies in health status, risk factors of prognoses, and effective interventions for prevention and management.

Conclusion

The results revealed a reciprocal risk relationship between mental health and multimorbidity. Mental disorders such as depression and anxiety in older adults with multimorbidity garnered considerable interest in the defined population, and further exploration is still promising. Substantial studies on evidence-based prevention and treatment strategies are warranted for improved prognoses.

Unstable Childhood, Adult Adversity, and Smoking Accelerate Biological Aging Among Middle-Age African Americans: Similar Findings for GrimAge and PoAm

Objectives: The recent biological clocks GrimAge and PoAm are robust predictors of morbidity and mortality. Little research, however, has investigated the factors that influence their ticking speed. No study has used multivariate analyses to examine whether childhood adversity, adult hardship, lifestyle practices, or some combination of these factors best explains acceleration of these indices. Methods: Using a sample of 506 middle-age African Americans, the present study investigated the extent to which childhood instability, adult adversity, and lifestyle predict accelerated GrimAge and PoAm. Results: The two clocks were highly correlated and the pattern of findings was very similar for the two measures. Childhood instability, adult financial hardship, and smoking were significant predictors of both clocks. Discussion: The findings support a life course perspective where both the long arm of childhood as well as later life conditions influence speed of aging. Similar results across the two clocks enhance confidence in the findings.

Psychological Distress Among Asian Indians and Non-Hispanic Whites in the United States

Introduction

The prevalence of psychological distress (PD) among Asian Indians is unknown. This study estimated and compared moderate-serious PD in Asian Indians and non-Hispanic Whites (NHWs) in the United States.

Methods

We used a cross-sectional design using the National Health Interview Survey (2012-2017). Adult (age >18 years) NHWs and Asian Indians (N=2,218) were included. PD was measured using the six-item Kessler (K6) scale. We used multivariable logistic regression to determine the association of Asian Indian ethnicity with PD.

Results

In the analysis, 19.9% of NHWs and 11.0% of Asian Indians reported moderate-serious PD. Asian Indians were less likely to report PD in both unadjusted (unadjusted odds ratio=0.50; 95% confidence interval [CI]=0.42-0.58) and fully adjusted (adjusted odds ratio=0.7; 95% CI 0.59-0.82) models.

Conclusions

Asian Indians had a lower prevalence of PD than NHWs, likely due to multiple protective factors such as high socioeconomic status and lower multimorbidity.

Multimorbidity patterns across race/ethnicity as stratified by age and obesity

The objective of our study is to assess differences in prevalence of multimorbidity by race/ethnicity. We applied the FP-growth algorithm on middle-aged and elderly cohorts stratified by race/ethnicity, age, and obesity level. We used 2016–2017 data from the Cerner HealthFacts electronic health record data warehouse. We identified disease combinations that are shared by all races/ethnicities, those shared by some, and those that are unique to one group for each age/obesity level. Our findings demonstrate that even after stratifying by age and obesity, there are differences in multimorbidity prevalence across races/ethnicities. There are multimorbidity combinations distinct to some racial groups—many of which are understudied. Some multimorbidities are shared by some but not all races/ethnicities. African Americans presented with the most distinct multimorbidities at an earlier age. The identification of prevalent multimorbidity combinations amongst subpopulations provides information specific to their unique clinical needs.

Childhood adversity predicts black young adults' DNA methylation-based accelerated aging: A dual pathway model

We expand upon prior work (Gibbons et al., ) relating childhood stressor effects, particularly harsh childhood environments, to risky behavior and ultimately physical health by adding longer-term outcomes - deoxyribonucleic acid (DNA) methylation-based measures of accelerated aging (DNAm-aging). Further, following work on the effects of early exposure to danger (McLaughlin et al., ), we also identify an additional pathway from harsh childhood environments to DNAm-aging that we label the danger/FKBP5 pathway, which includes early exposure to dangerous community conditions that are thought to impact glucocorticoid regulation and pro-inflammatory mechanisms. Because different DNAm-aging indices provide different windows on accelerated aging, we contrast effects on early indices of DNAm-aging based on chronological age with later indices that focused on predicting biological outcomes. We utilize data from Family and Community Health Study participants (N = 449) from age 10 to 29. We find that harshness influences parenting, which, in turn, influences accelerated DNAm-aging through the risky cognitions and substance use (i.e., behavioral) pathway outlined by Gibbons et al. (). Harshness is also associated with increased exposure to threat/danger, which, in turn, leads to accelerated DNAm-aging through effects on FKBP5 activity and enhanced pro-inflammatory tendencies (i.e., the danger/FKBP5 pathway).

Methylation of FKBP5 is associated with accelerated DNA methylation ageing and cardiometabolic risk: replication in young-adult and middle-aged Black Americans

Methylation of FKBP5 is involved in the regulation of the stress response and is influenced by early stress exposure. Two CpG sites, cg20813374 and cg00130530, have been identified as potential reporters of early stress. We examined whether FKBP5 methylation was associated with accelerated DNA methylation ageing and indirectly predicted poorer cardiovascular health among both young adult and middle-aged Black Americans. Four hundred and forty-nine young adults, with a mean age of 28.67 and N = 469 middle-age parents and their current partners with a mean age of 57.21, provided self-reports, biometric assessments, and blood draws. Methylation values were obtained using the Illumina Epic Array. Cardiometabolic risk was calculated by summing the standardized log-transformed scores for the body mass index, mean arterial blood pressure, and HbA1c. We also used a more standard index of risk, the Framingham 10-year cardiometabolic risk index, as an alternative measure of cardiometabolic risk. To measure accelerated ageing, four widely used indices of accelerated, DNA methylation-based ageing were used controlling sex, age, other variation in FKBP5, and cell-type. Exposure to community danger was associated with demethylation of FKBP5. FKBP5 methylation was significantly associated with accelerated ageing for both young-adult and middle-aged samples, with significant indirect effects from FKBP5 methylation to cardiometabolic risk through accelerated ageing for both. Early exposure to danger may influence FKBP5 methylation. In turn, FKBP5 methylation may help explain intrinsic accelerated ageing and elevated cardiometabolic risk in adulthood for Black Americans.

Re(Setting) Epigenetic Clocks: An Important Avenue Whereby Social Conditions Become Biologically Embedded across the Life Course

Research on biological embedding of the social environment has been expedited by increased availability of biomarkers. Recently, this arsenal of measures has been expanded to include epigenetic clocks that indicate in years the extent to which an individual is older or younger than their chronological age. These measures of biological aging, especially GrimAge, are robust predictors of both illness and time to death. Importantly for sociologists, several studies have linked social conditions to these indices of aging. The present study extends this research using longitudinal data from a sample of 223 black women participating in the Family and Community Health Study. We find that changes in income and living arrangements over an 11-year period predict changes in speed of biological aging. These results provide further support for the idea that epigenetic aging is a mechanism whereby social conditions become biologically embedded. The utility of epigenetic clocks for sociological studies of health are discussed.

White and Black Differences in Perceived Access to Health and Community Services and Self-Rated Health in an Age-Friendly Community Assessment

OBJECTIVES

This study sought to identify the race differences in perceived access to health and community services and self-rated health (SRH) among White and Black older adult participants of an age-friendly community assessment.

METHODS

Responses (n = 313) to a baseline assessment of Columbus, Ohio, residents aged ≥50 years were analyzed.

RESULTS

Significant differences were found between White and Black older adults regarding SRH, with Black older adults reporting lower SRH. Black older adults reported significantly lower perceived access to 11 out of the 13 health and community services. There were no significant differences by race regarding ratings of Columbus and personal neighborhoods as a place for people to live as they age. Regression analyses found income was a significant predictor of SRH for both White and Black older adults.

DISCUSSION

Opportunities to increase perceived access and knowledge of health and community services for older adults through targeted, equitable interventions are warranted.

Impact of HCV infection and ethnicity on incident type 2 diabetes: findings from a large population-based cohort in British Columbia

INTRODUCTION

Increasing evidence indicates that chronic hepatitis C virus (HCV) infection is associated with higher risk of diabetes. Previous studies showed ethnic disparities in the disease burden of diabetes, with increased risk in Asian population. We described the incidence of type 2 diabetes related to HCV infection and assessed the concurrent impact of HCV infection and ethnicity on the risk of diabetes.

RESEARCH DESIGN AND METHODS

In British Columbia Hepatitis Testers Cohort, individuals were followed from HCV diagnosis to the earliest of (1) incident type 2 diabetes, (2) death or (3) end of the study (December 31, 2015). Study population included 847 021 people. Diabetes incidence rates in people with and without HCV were computed. Propensity scores (PS) analysis was used to assess the impact of HCV infection on newly acquired diabetes. PS-matched dataset included 117 184 people. We used Fine and Gray multivariable subdistributional hazards models to assess the effect of HCV and ethnicity on diabetes while adjusting for confounders and competing risks.

RESULTS

Diabetes incidence rates were higher among people with HCV infection than those without. The highest diabetes incidence rate was in South Asians with HCV (14.7/1000 person-years, 95% CI 12.87 to 16.78). Compared with Others, South Asians with and without HCV and East Asians with HCV had a greater risk of diabetes. In the multivariable stratified analysis, HCV infection was associated with increased diabetes risk in all subgroups: East Asians, adjusted HR (aHR) 3.07 (95% CI 2.43 to 3.88); South Asians, aHR 2.62 (95% CI 2.10 to 3.26); and Others, aHR 2.28 (95% CI 2.15 to 2.42).

CONCLUSIONS

In a large population-based linked administrative health data, HCV infection was associated with higher diabetes risk, with a greater relative impact in East Asians. South Asians had the highest risk of diabetes. These findings highlight the need for care and screening for HCV-related chronic diseases such as type 2 diabetes among people affected by HCV.

Differences in Multimorbidity among Cisgender Sexual Minority and Heterosexual Adults: Investigating Differences across Age-Groups

Objectives: Despite increased risk for chronic disease, there is limited research that has examined disparities in multimorbidity among sexual minority adults and whether these disparities differ by age. Methods: Data were from the 2014-2018 Behavioral Risk Factor Surveillance System. We used sex-stratified multinomial logistic regression to examine differences in multimorbidity between sexual minority and heterosexual cisgender adults and whether hypothesized differences varied across age-groups. Results: The sample included 687,151 adults. Gay, lesbian, and bisexual adults had higher odds of meeting criteria for multimorbidity than same-sex heterosexual adults. These disparities were greater among sexual minority adults under the age of 50 years. Only other non-heterosexual men over the age of 50 years and lesbian women over the age of 80 years were less likely to have multimorbidity than their same-sex heterosexual counterparts. Discussion: Health promotion interventions to reduce adverse health outcomes among sexual minorities across the life span are needed.

Racial Discrimination, Inflammation, and Chronic Illness Among African American Women at Midlife: Support for the Weathering Perspective

It is widely accepted that socioeconomic status (SES) is a fundamental cause of health inequality. There is evidence, however, that race is also a fundamental cause of disparities in health. Based on this idea, the weathering hypothesis developed by Geronimus and her colleagues views the elevated rates of illness and disability seen among Black Americans as a physiological response to the structural barriers, daily slights, and other threats to identity that comprise the Black experience. The current study tests the weathering hypothesis using chronic inflammation as an indicator of biological weathering. Specifically, we examine the extent to which persistent exposure to racial discrimination predicts elevated inflammation and, in turn, diagnosed chronic illness, after taking into account SES and several control variables. This mediation model was tested using zero-inflated Poisson path modeling with five waves of data collected from 391 African American women participating in the Family and Community Health Study (FACHS). A 13-item index was used to assess exposure to racial discrimination across 8 years. ELISA blood assays of seven cytokines central to the inflammatory response were used to construct an inflammatory index. Respondents reported their diagnosed chronic diseases. Consonant with the weathering hypothesis, persistent exposure to discrimination predicted inflammation which, in turn, predicted number of chronic diseases. This indirect effect was statistically significant. SES predicted having a chronic disease and the various controls showed no effect. The findings support the idea that race, like SES, is a fundamental cause of health inequalities.

Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States

Asian Americans are the fastest-growing minority group in the United States, yet little is known about their multimorbidity. This study examined the association of Asian Indians, Chinese and non-Hispanic whites (NHWs) to multimorbidity, defined as the concurrent presence of two or more chronic conditions in the same individual. We used a cross-sectional design with data from the National Health Interview Survey (2012–2017) of Asian Indians, Chinese, and NHWs (N = 132,666). Logistic regressions were used to examine the adjusted association of race/ethnicity to multimorbidity. There were 1.9% Asian Indians, 1.8% Chinese, and 96.3% NHWs. In unadjusted analyses (p < 0.001), 17.1% Asian Indians, 17.9% Chinese, and 39.0% NHWs had multimorbidity. Among the dyads, high cholesterol and hypertension were the most common combination of chronic conditions among Asian Indians (32.4%), Chinese (41.0%), and NHWs (20.6%). Asian Indians (AOR = 0.73, 95% CI = (0.61, 0.89)) and Chinese (AOR = 0.63, 95% CI = (0.53, 0.75)) were less likely to have multimorbidity compared to NHWs, after controlling for age, sex, and other risk factors. However, Asian Indians and Chinese were more likely to have high cholesterol and hypertension, risk factors for diabetes and heart disease.

Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits

BACKGROUND

Misclassification of Medicare beneficiaries' race/ethnicity in administrative data sources is frequently overlooked and a limitation in health disparities research.

OBJECTIVE

To compare the validity of 2 race/ethnicity variables found in Medicare administrative data [enrollment database (EDB) and Research Triangle Institute (RTI) race] against a gold-standard source also available in the Medicare data warehouse: the self-reported race/ethnicity variable on the home health Outcome and Assessment Information Set (OASIS).

SUBJECTS

Medicare beneficiaries over the age of 18 who received home health care in 2015 (N=4,243,090).

MEASURES

Percent agreement, sensitivity, specificity, positive predictive value, and Cohen κ coefficient.

RESULTS

The EDB and RTI race variable have high validity for black race and low validity for American Indian/Alaskan Native race. Although the RTI race variable has better validity than the EDB race variable for other races, κ values suggest room for future improvements in classification of whites (0.90), Hispanics (0.87), Asian/Pacific Islanders (0.77), and American Indian/Alaskan Natives (0.44).

DISCUSSION

The status quo of using "good-enough for government" race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data, available in the Medicare data warehouse. Health services and policy researchers should critically examine the source of race/ethnicity variables used in minority health and health disparities research. Future work to improve the accuracy of Medicare beneficiaries' race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.

Identifying obesity-related multimorbidity combinations in the United States

Interest in understanding the effects of multimorbidity on outcomes has increased in recent years. This paper presents the most common obesity-related groupings of multimorbidity in the United States. Using Cerner HealthFacts data, we applied the frequent pattern growth algorithm to identify prevalent multimorbidity groupings of 3 or more diseases (one being obesity) by race using a dataset of 574 172 patients with obesity from all over the United States. We set the minimum prevalence to 10% and identified groupings of ICD10-CM diagnoses that occur in our dataset at or above the minimum prevalence level. We provide binomial proportion confidence interval estimates to demonstrate the validity of the proportions. We performed g-test for independence to validate differences in prevalence by race. We found 18 multimorbidity combinations with prevalence higher than or equal to 10%. Our results indicate that there are multiple common multimorbidities groupings for patients with obesity. Each multimorbidity combination is composed of diseases from the following clinical categories: endocrine, nutritional and metabolic diseases; diseases of the circulatory system; diseases of the digestive system; diseases of the nervous system; and diseases of the musculoskeletal system and connective tissue. For each multimorbidity pattern, the prevalence was found to be significantly different by race according to the g-test with P-value < .001. Most frequent patterns include essential hypertension or disorder of lipid metabolism. This study identifies common groupings of multimorbidity. We believe our data can be useful for those developing integrated care plans, particularly for those serving diverse communities.

Psychiatric Illness and Mortality in Hospitalized ESKD Dialysis Patients

BACKGROUND AND OBJECTIVES

Limited existing data on psychiatric illness in ESKD patients suggest these diseases are common and burdensome, but under-recognized in clinical practice.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We examined hospitalizations with psychiatric diagnoses using inpatient claims from the first year of ESKD in adult and pediatric Medicare recipients who initiated treatment from 1996 to 2013. We assessed associations between hospitalizations with psychiatric diagnoses and all-cause death after discharge in adult dialysis patients using multivariable-adjusted Cox proportional hazards regression models.

RESULTS

In the first ESKD year, 72% of elderly adults, 66% of adults and 64% of children had at least one hospitalization. Approximately 2% of adults and 1% of children were hospitalized with a primary psychiatric diagnosis. The most common primary psychiatric diagnoses were depression/affective disorder in adults and children, and organic disorders/dementias in elderly adults. Prevalence of hospitalizations with psychiatric diagnoses increased over time across groups, primarily from secondary diagnoses. 19% of elderly adults, 25% of adults and 15% of children were hospitalized with a secondary psychiatric diagnosis. Hazards ratios of all-cause death were higher in all dialysis adults hospitalized with either primary (1.29; 1.26 to 1.32) or secondary (1.11; 1.10 to 1.12) psychiatric diagnoses than in those hospitalized without psychiatric diagnoses.

CONCLUSIONS

Hospitalizations with psychiatric diagnoses are common in pediatric and adult ESKD patients, and are associated with subsequent higher mortality, compared with hospitalizations without psychiatric diagnoses. The prevalence of hospitalizations with psychiatric diagnoses likely underestimates the burden of mental illness in the population.

Racial Disparities in Health Service Utilization Among Medicare Fee-for-Service Beneficiaries Adjusting for Multiple Chronic Conditions

OBJECTIVE

To examine racial disparities in health services utilization in Hawaii among Medicare fee-for-service beneficiaries aged 65 years and above.

METHOD

All-cause utilization of inpatient, outpatient, emergency, home health agency, and skilled nursing facility admissions were investigated using 2012 Medicare data. For each type of service, multivariable logistic regression model was used to investigate racial disparities adjusting for sociodemographic factors and multiple chronic conditions.

RESULTS

Of the 84,212 beneficiaries, 27.8% were White, 27.4% were Asian, 27.3% were Pacific Islanders; 70.3% had two or more chronic conditions and 10.5% had six or more. Compared with Whites, all racial groups experienced underutilization across all types of services. As the number of chronic conditions increased, the utilization of inpatient, home health care, and skilled nursing facility dramatically increased.

DISCUSSION

Disparities persist among Asians and Pacific Islanders who encounter the problem of underutilization of various health services compared with Whites.