Isaac Nwaise

The Economic Burden of Chronic Cardiovascular Disease for Major Insurers

Accounting models provide less precise estimates of disease burden than do econometric models. The authors seek to improve these estimates for cardiovascular disease using a nationally representative survey and econometric modeling to isolate the proportion of medical expenditures attributable to four chronic cardiovascular diseases: stroke, hypertension, congestive heart failure, and other heart diseases. Approximately 17% of all medical expenditures, or

Geographic Disparities in Heart Failure Hospitalization Rates Among Medicare Beneficiaries

149 billion annually, and nearly 30% of Medicare expenditures are attributable to these diseases. Of the four diseases, hypertension accounts for the largest share of prescription expenditures across payers and the largest share of all Medicaid expenditures. The large number of people with cardiovascular disease who are eligible for both Medicare and Medicaid could lead to large shifts in the burden to these payers as prescription drug coverage is included in Medicare. A societal perspective is important when describing the economic burden of cardiovascular disease.

Costs of Chronic Diseases at the State Level: The Chronic Disease Cost Calculator

OBJECTIVES This study was designed to document local-level geographic disparities in heart failure (HF) hospitalization rates among Medicare beneficiaries. BACKGROUND Although the burden of HF is well documented at the national level, little is known about the geographic disparities in HF. METHODS The study population consisted of fee-for-service Medicare beneficiaries >or=65 years of age who resided in the U.S., Puerto Rico, or the U.S. Virgin Islands during the years 2000 to 2006. Using hospital claims data for Medicare beneficiaries, we calculated spatially smoothed and age-adjusted average annual county-level HF hospitalization rates per 1,000 Medicare beneficiaries for the total population and by racial/ethnic group (blacks, Hispanics, and whites) for the years 2000 to 2006. A HF hospitalization was defined as a short-stay hospital claim with a principal (first-listed) discharge diagnosis of HF using the International Classification of Diseases-9th Revision-Clinical Modification code 428. RESULTS The average annual age-adjusted HF hospitalization rate per 1,000 Medicare beneficiaries was 21.5 per 1,000, and ranged from 7 to 61 per 1,000 among counties in the U.S. For the total study population, a clear East-West gradient was evident, with the highest rates located primarily along the lower Mississippi River Valley and the Ohio River Valley, including the Appalachian region. Similar patterns were observed for blacks and whites, although the pattern for Hispanics differed. CONCLUSIONS The evidence of substantial geographic disparities in HF hospitalizations among Medicare beneficiaries is important information for health professionals to incorporate as they design prevention and treatment policies and programs tailored to the needs of their communities.

Geographic and racial patterns of preventable hospitalizations for hypertension: Medicare beneficiaries, 2004-2009.

Introduction Many studies have estimated national chronic disease costs, but state-level estimates are limited. The Centers for Disease Control and Prevention developed the Chronic Disease Cost Calculator (CDCC), which estimates state-level costs for arthritis, asthma, cancer, congestive heart failure, coronary heart disease, hypertension, stroke, other heart diseases, depression, and diabetes. Methods Using publicly available and restricted secondary data from multiple national data sets from 2004 through 2008, disease-attributable annual per-person medical and absenteeism costs were estimated. Total state medical and absenteeism costs were derived by multiplying per person costs from regressions by the number of people in the state treated for each disease. Medical costs were estimated for all payers and separately for Medicaid, Medicare, and private insurers. Projected medical costs for all payers (2010 through 2020) were calculated using medical costs and projected state population counts. Results Median state-specific medical costs ranged from

Is there an association between quality of in-hospital cardiac care and proportion of low-income patients?

410 million (asthma) to

Geographic Variations in Heart Failure Hospitalizations Among Medicare Beneficiaries in the Tennessee Catchment Area

1.8 billion (diabetes); median absenteeism costs ranged from

State-Level Estimates of Cancer-Related Absenteeism Costs

5 million (congestive heart failure) to

State-Level Cancer Treatment Costs: How Much and Who Pays?

217 million (arthritis). Conclusion CDCC provides methodologically rigorous chronic disease cost estimates. These estimates highlight possible areas of cost savings achievable through targeted prevention efforts or research into new interventions and treatments.

Clinical InvestigationGeographic Variations in Heart Failure Hospitalizations Among Medicare Beneficiaries in the Tennessee Catchment Area

Objectives. Hypertension as the primary reason for hospitalization is often used to indicate failure of the outpatient health-care system to prevent and control high blood pressure. Investigators have reported increased rates of these preventable hospitalizations for black people compared with white people; however, none have mapped them nationally by race. Methods. We used Medicare Part A data to estimate preventable hypertension hospitalizations from 2004–2009 using technical specifications published by the Agency for Healthcare Research and Quality. Rates per 100,000 beneficiaries were age- and sex-standardized to 2000 U.S. Census data. We mapped county-level rates by race and identified clusters of counties with extreme rates. Results. Black people had higher crude rates of these hospitalizations than white people for every year studied, and the test for an increasing linear time trend for the standardized rates was significant for both black and white people; that is, the gap between the races increased over time. For both races, clusters of high-rate counties occurred primarily in parts of Oklahoma, Texas, Southern Alabama, and Louisiana. High rates for white people were also found in parts of Appalachia. Large differences in rates among black and white people were found in a number of large urban areas and in parts of Florida and Alabama. Conclusions. Racial disparities in preventable hospitalizations for hypertension persisted through 2009. The gap between black and white people is increasing, and these inequities exist unevenly across the country. Although this study was intended to be purely descriptive, future studies should use multivariate analyses to examine reasons for these unequal distributions.

State-level projections of cancer-related medical care costs: 2010 to 2020

Background:Process measures have been developed and implemented to evaluate the quality of care patients receive in the hospital. This study examines whether there is an association between the quality of in-hospital cardiac care and a hospitals proportion of low-income patients. Methods and Results:A retrospective analysis of 1979 hospitals submitting information on 12 quality of care (QoC) process measures for acute myocardial infarction (AMI) and congestive heart failure (CHF) patients to the Hospital Quality Alliance during 2005 and 2006 and meeting all study inclusion criteria. Mean hospital performance ranged from 84.2% (ACE inhibitor for left ventricular systolic dysfunction) to 95.9% (aspirin on arrival) for AMI QoC process measures and from 64.4% (discharge instructions) to 92.4% (left ventricular function assessment) for CHF QoC process measures. Regression analyses indicated a statistically significant negative association between the proportion of low-income patients and hospital performance for 10 of the 12 cardiac QoC process measures, after controlling for selected hospital characteristics. Conclusions:Hospital adherence to QoC process measures for AMI and CHF patients declined as the proportion of low-income patients increased. Future research is needed to examine the role of community characteristics and market forces on the ability of hospitals with a disproportionate share of low-income patients to maintain the staffing, equipment, and policies necessary to provide the recommended standards of care for AMI and CHF patients.