Validity of a Claims-Based Diagnosis of Obesity Among Medicare Beneficiaries.

Population-level data on obesity are difficult to obtain. Claims-based data sets are useful for studying public health at a population level but lack physical measurements. The objective of this study was to determine the validity of a claims-based measure of obesity compared to obesity diagnosed with clinical data as well as the validity among older adults who suffer from chronic disease. This study used data from the National Health and Nutrition Examination Survey 1999-2004 for adults aged ≥ 65 successfully linked to 1999-2007 Medicare claims (N = 3,554). Sensitivity, specificity, positive and negative predictive values, κ statistics as well as logistic regression analyses were computed for the claims-based diagnosis of obesity versus obesity diagnosed with body mass index. The claims-based diagnosis of obesity underestimates the true prevalence in the older Medicare population with a low sensitivity (18.4%). However, this method has a high specificity (97.3%) and is accurate when it is present. Sensitivity was improved when comparing the claim-based diagnosis to Class II obesity (34.2%) and when used in combination with chronic conditions such as diabetes, congestive heart failure, chronic obstructive pulmonary disease, or depression. Understanding the validity of a claims-based obesity diagnosis could aid researchers in understanding the feasibility of conducting research on obesity using claims data.

The relationship between the low-income subsidy and cost-related nonadherence to drug therapies in Medicare Part D.

OBJECTIVES: To examine the relationship between receiving the Medicare Part D low-income subsidy (LIS) and cost-related medication nonadherence (CRN). DESIGN: Cross-sectional. SETTING: Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey collected in spring 2007. PARTICIPANTS: Part D-enrolled Medicare beneficiaries who responded to the CAHPS survey. MEASUREMENTS: Respondents were categorized into three LIS groups: deemed LIS (Medicare and Medicaid dual-eligible and individuals receiving Supplemental Security Income), LIS applicants (other low-income individuals who applied for and received LIS), and non-LIS. Adjusted logistic models were used to assess the likelihood of CRN according to LIS status. Sample weights were applied in all analyses to account for complex sampling design. RESULTS: Of 171,573 Part D-enrolled respondents (weighted N = 14,572,827; response rate 48%), 17.2% reported CRN. Specifically, 14.7% of non-LIS respondents, 22.2% of deemed-LIS respondents, and 24.0% of LIS applicants reported CRN. LIS groups had higher unadjusted odds of CRN than the non-LIS respondents, but fully adjusted odds of CRN were lower in the deemed-LIS (adjusted odds ratio = 0.66, 95% confidence interval = 0.59, 0.74) than the LIS applicants or the non-LIS respondents. Subgroup analyses revealed that sociodemographic and health-related characteristics were associated with higher CRN in all three groups. CONCLUSION: The lower adjusted odds of CRN in deemed-LIS is reassuring, suggesting that autoenrollment provides meaningful assistance in removing cost-related barriers to medication use, but certain sociodemographic characteristics were associated with higher odds of CRN. Efforts to improving outreach to these subgroups and tracking of CRN are warranted.

Cost-related nonadherence to prescribed medication therapy among Medicare Part D beneficiaries with end-stage renal disease.

PURPOSE: Medication nonadherence due to cost issues among community-dwelling patients with end-stage renal disease (ESRD) enrolled in Medicare prescription drug plans was evaluated. METHODS: Demographic and health status data were collected on 1329 patients with ESRD enrolled in Medicare Part D prescription drug plans who responded to a Centers for Medicare and Medicaid Services consumer survey in early 2007. The survey data were assessed for self-reported cost-related nonadherence (CRN), defined as delaying or not filling a prescription due to cost concerns. Multivariate logistic regression analysis was performed to evaluate CRN risk relative to patient demographic characteristics, socioeconomic status, other chronic conditions, health behaviors, and access to health care services. RESULTS: Overall, survey respondents with ESRD were significantly more likely than those without ESRD to report CRN in the prior six months (unadjusted odds ratio [OR], 2.34; 95% confidence interval [CI], 2.00-2.75). After controlling for potential confounding factors such as other chronic conditions, the data analysis continued to show a significant association between ESRD and an increased risk of CRN (adjusted OR, 1.23; 95% CI, 1.07-1.41). Black race and receipt of Medicare Part D Low-Income Subsidy assistance were significant independent predictors of CRN for respondents with ESRD. CONCLUSION: In early 2007, 31% of survey respondents with ESRD enrolled in Medicare Part D drug plans reported CRN in the preceding six months. After adjusting for potential confounders, respondents with ESRD remained 23% more likely than respondents without ESRD to report CRN in the preceding six months.

Prescription medication cost-related non-adherence among Medicare CAHPS respondents: disparity by Hispanic ethnicity.

PURPOSE: We examined whether there was disparity in prescription medication cost-related non-adherence (CRN) by Hispanic ethnicity among Medicare enrollees. METHODS: Multivariate logistic regression, adjusting for race, other socio-demographic variables, health status, health care utilization, and patient rating of their personal physician, was used to examine association of Hispanic ethnicity with CRN using cross-sectional data from Medicare's Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey (data collected in Spring 2007). RESULTS: Hispanic respondents constituted 6.9% (unweighted n=22,304) of the analytic sample (unweighted n=272,701; response rate 5 48%). Overall, 13.4% of respondents reported CRN; among Hispanics and non-Hispanics, 20.3% and 12.9% reported CRN, respectively, p<.0001. Adjusted odds ratio (95% CI) of reporting CRN in the past six months was 1.18 (1.08, 1.29) for Hispanic compared with non-Hispanic respondents. CONCLUSIONS: Hispanic ethnicity was significantly associated with CRN. More research is needed to understand interventions to eliminate the disparity for this minority group.

The association of Medicare drug coverage with use of evidence-based medications in the Veterans Health Administration.

BACKGROUND: Veterans with Medicare managed-care plans have access to pharmacy benefits outside the Veterans Health Administration (VA), but how this coverage affects use of medications for specific disease conditions within the VA is unclear. OBJECTIVE: To examine patterns of pharmacotherapy among patients with diabetes mellitus, ischemic heart disease, and chronic heart failure enrolled in fee-for-service (FFS) or managed-care (HMO) plans and to test whether pharmacy benefit coverage within Medicare is associated with the receipt of evidence-based medications in the VA. METHODS: A retrospective analysis of veterans dually enrolled in the VA and Medicare healthcare systems was conducted. We used VA and Medicare administrative data from 2002 in multivariable logistic regression analysis to determine the unique association of enrollment in Medicare FFS or managedcare plans on the use of medications, after adjusting for sociodemographic, geographic, and patient clinical factors. RESULTS: A total of 369,697 enrollees met inclusion criteria for diabetes, ischemic heart disease, or chronic heart failure. Among patients with diabetes, adjusted odds ratios (ORs) of receiving angiotensin-converting enzyme (ACE) inhibitors and oral hypoglycemics in the FFS group were, respectively, 0.86 and 0.80 (p < 0.001). Among patients with ischemic heart disease, FFS patients were generally less likely to receive beta-blockers, antianginals, and statins. Among patients with chronic heart failure, adjusted ORs of receiving ACE inhibitors, angiotensin-receptor blockers, and statins in the FFS group were, respectively, 0.90, 0.78, and 0.79 (all p < 0.05). There were few systematic differences within HMO coverage levels. CONCLUSIONS: FFS-enrolled veterans were generally less likely to be receiving condition-related medications from the VA, compared with HMO-enrolled veterans with lower levels of prescription drug coverage. Pharmacy prescription coverage within Medicare affects the use of evidence-based medications for specific disease conditions in the VA.

VHA pharmacy use in veterans with Medicare drug coverage.

OBJECTIVE: To determine how Medicare benefits affect veterans' use of Veterans Health Administration (VHA) pharmacy services. STUDY DESIGN: Retrospective analysis of veterans dually enrolled in the Veterans Health Administration and Medicare healthcare systems. METHODS: We used VHA and Medicare administrative data for calendar year 2002 to examine the effect of Medicare HMO pharmacy benefit levels on VHA pharmacy use. RESULTS: In 2002, 64% of the VHA and Medicare dually enrolled veterans in our study sample received medications from the VHA. Use of VHA pharmacy services varied monotonically by the level of pharmacy benefits among Medicare HMO enrollees, with veterans enrolled in plans with both low and high pharmacy benefit levels significantly less likely to use VHA pharmacy services than veterans in plans with no pharmacy benefits (odds ratios = .83 and .53, respectively, versus plans with no benefits). Among VHA pharmacy users, enrollment in plans with high levels of benefits was associated with significantly lower annual pharmacy costs than enrollment in plans with no benefits or enrollment in traditional Medicare. CONCLUSIONS: Our findings indicate that non-VHA pharmacy benefits affect both the likelihood and magnitude of VHA pharmacy use. This suggests that Medicare pharmacy coverage (Part D) may significantly reduce the demand for VHA pharmacy services, particularly in geographic regions previously underserved by Medicare managed care plans.

Using a Spanish surname match to improve identification of Hispanic women in Medicare administrative data.

OBJECTIVE: To assess the effectiveness of a Spanish surname match for improving the identification of Hispanic women in Medicare administrative data in which Hispanics are historically underrepresented. DATA SOURCES: We collected self-identified race/ethnicity data (N=2,997) from a mailed survey sent to elderly Medicare beneficiaries who resided in 11 geographic areas consisting of eight metropolitan counties and three nonmetropolitan areas (171 counties) in the fall of 2004. The 1990 Census Spanish Surname list was used to identify Hispanics in the Medicare data. In addition, we used data published on the U.S. Census Bureau website to obtain estimates of elderly Hispanics. STUDY DESIGN: We used self-identified race/ethnicity as the gold standard to examine the agreement with Medicare race code alone, and with Medicare race code+Spanish surname match. Additionally, we estimated the proportions of Hispanic women and men, in each of the 11 geographic areas in our survey, using the Medicare race code alone and the Medicare race code+Spanish surname match, and compared those estimates with estimates derived from U.S. Census 2000 data. PRINCIPAL FINDINGS: The Spanish surname match dramatically increased the accuracy of the Medicare race code for identifying both Hispanic and white women, producing improvements comparable with those seen for men. CONCLUSIONS: We recommend the addition of a proxy race code in the Medicare data using the Spanish surname match to improve the accuracy of racial/ethnic representation.To assess the effectiveness of a Spanish surname match for improving the identification of Hispanic women in Medicare administrative data in which Hispanics are historically underrepresented. We collected self-identified race/ethnicity data (N=2,997) from a mailed survey sent to elderly Medicare beneficiaries who resided in 11 geographic areas consisting of eight metropolitan counties and three nonmetropolitan areas (171 counties) in the fall of 2004. The 1990 Census Spanish Surname list was used to identify Hispanics in the Medicare data. In addition, we used data published on the U.S. Census Bureau website to obtain estimates of elderly Hispanics. We used self-identified race/ethnicity as the gold standard to examine the agreement with Medicare race code alone, and with Medicare race code+Spanish surname match. Additionally, we estimated the proportions of Hispanic women and men, in each of the 11 geographic areas in our survey, using the Medicare race code alone and the Medicare race code+Spanish surname match, and compared those estimates with estimates derived from U.S. Census 2000 data. The Spanish surname match dramatically increased the accuracy of the Medicare race code for identifying both Hispanic and white women, producing improvements comparable with those seen for men. We recommend the addition of a proxy race code in the Medicare data using the Spanish surname match to improve the accuracy of racial/ethnic representation.

Improving identification of Hispanic males in Medicare: use of surname matching.

OBJECTIVES: Medicare administrative and claims files maintained by the Centers for Medicare and Medicaid Services (CMS) are frequently used to examine racial and ethnic disparities in healthcare use. However, identification of Hispanic ethnicity for beneficiaries in the Medicare claims files is problematic, greatly limiting the use of these administrative data for examining race/ethnicity differences. This article reports on 2 studies assessing the effectiveness of a Hispanic surname match for improving the accuracy of race/ethnicity codes for elderly males in the Medicare data sets. METHODS: Study 1 used survey data to compare a Medicare race code + Spanish surname composite indicator to self-identification as Hispanic. Study 2 used Medicare administrative files and U.S. Census 2000 data to identify how well the Medicare race code alone and the Medicare race code + Spanish surname composite indicator compared with estimates obtained from census data for 16 U.S. counties dispersed across 5 states. RESULTS: Using self-identification as the gold standard, including the Spanish surname match increased accuracy for Hispanics and whites compared with the Medicare race code alone. The Spanish surname match also dramatically improved the Medicare code's estimation of elderly Hispanic and white males compared with county-level census data. CONCLUSIONS: Augmenting the Medicare race code with a match to Spanish surnames yields substantial improvement in the identification of elderly Hispanic and white non-Hispanic male Medicare beneficiaries. Using surname information to supplement the Medicare race code could greatly enhance researchers' ability to examine healthcare equity.

Healthy Growth: project description and baseline findings.

OBJECTIVES: The purpose of the study was to describe the physical activity, blood pressure, and body fat patterns of sixth-grade, African-American girls (N = 82), who participated in the Healthy Growth Study. The purpose of the primary study questions was to determine which sets of variables best predict blood pressure, physical activity, and body fat. DESIGN AND METHODS: This paper is a cross sectional analysis of the first assessment of a 5-year longitudinal project. Standard procedures were used to assess height, weight, skinfolds, blood pressure, physical activity, predictors of physical activity, maturation, dietary intake, fitness level, and health behaviors. RESULTS: The average age of the subjects was 12.3 years; almost two-thirds of the girls had reached menarche. Fifty-two percent of the 13-year-olds had body mass index (BMI) values greater than the 85th percentile for their age and sex compared to 32% of the 12-year-olds. None of the variables were significantly related to diastolic or systolic blood pressure. Physical activity was significantly and negatively related to total percent of calories from fat and to breast stages and positively related to waist/thigh ratio. Body mass index (BMI) was significantly and positively related to breast stages. CONCLUSIONS: Important developmental differences between 12- and 1 3-year-olds were evident. Body mass index (BMI) was mainly dependent on physical maturity. No relationship was found between BMI and blood pressure. The relationship between physical activity and waist/thigh ratio merits further study. The importance of BMI and physical inactivity as potential indicators of cardiovascular risk in adolescent girls is discussed. Developmentally appropriate and culturally competent interventions are recommended to increase physical activity and healthy eating behaviors among adolescents.