Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity.

OBJECTIVE: To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers for Medicare & Medicaid Services' (CMS) administrative measure of race/ethnicity with surname and geographic data to estimate race/ethnicity. DATA SOURCES/STUDY SETTING: Data from 284 627 respondents to the 2014 Medicare CAHPS survey. STUDY DESIGN: We compared performance (cross-validated Pearson correlation of estimates and self-reported race/ethnicity) for several alternative models predicting self-reported race/ethnicity in cross-sectional observational data to assess accuracy of estimates, resulting in MBISG 2.0. MBISG 2.0 adds to MBISG 1.0 first name, demographic, and coverage predictors of race/ethnicity and uses a more flexible data aggregation framework. DATA COLLECTION/EXTRACTION METHODS: We linked survey-reported race/ethnicity to CMS administrative and US census data. PRINCIPAL FINDINGS: MBISG 2.0 removed 25-39 percent of the remaining MBISG 1.0 error for Hispanics, Whites, and Asian/Pacific Islanders (API), and 9 percent for Blacks, resulting in correlations of 0.88 to 0.95 with self-reported race/ethnicity for these groups. CONCLUSIONS: MBISG 2.0 represents a substantial improvement over MBISG 1.0 and the use of CMS administrative data on race/ethnicity alone. MBISG 2.0 is used in CMS' public reporting of Medicare Advantage contract HEDIS measures stratified by race/ethnicity for Hispanics, Whites, API, and Blacks.

The Limited English Proficient Population: Describing Medicare, Medicaid, and Dual Beneficiaries.

Purpose: The Limited English Proficient (LEP) population experiences well-documented suboptimal health outcomes and substandard provider experiences. The lack of national estimates on the size of the LEP population relative to the healthcare setting makes examining health outcomes for this population very difficult. This analysis addresses this limitation by publishing population estimates for LEP persons enrolled in Medicare, Medicaid, and Duals (enrolled in Medicare and Medicaid). Focusing on the Medicare and Medicaid programs provides an important foundation as these programs are not only the largest insurers in the United States but are also governed by legislation that requires LEP persons to receive equitable access to care. Methods: Data from the 2014 American Community Survey Public Use Microdata Sample (ACS PUMS) were used to produce national estimates and measures of statistical accuracy for the LEP population enrolled in Medicare and/or Medicaid (LEPMM). Results: In 2014, there were approximately 8.7 million LEP persons enrolled in Medicare, Medicaid, or both programs (Duals). The LEPMM was concentrated along the western and eastern coastlines and the southwestern region, with California and New York each containing more than 1 million LEPMMs. The LEPMM was also highly diverse with varying disability status, and most were racial or ethnic minorities and elderly. Conclusion: These findings provide a foundation for measuring an understudied and at-risk population that will enable population health professionals to develop effective culturally and linguistically, and appropriate services and policies that address health disparities in the LEPMM.

Overtreatment and Deintensification of Diabetic Therapy among Medicare Beneficiaries.

BACKGROUND: Deintensification of diabetic therapy is often clinically appropriate for older adults, because the benefit of aggressive diabetes treatment declines with age, while the risks increase. OBJECTIVE: We examined rates of overtreatment and deintensification of therapy for older adults with diabetes, and whether these rates differed by medical, demographic, and socioeconomic characteristics. DESIGN, SUBJECTS, AND MAIN MEASURES: We analyzed Medicare claims data from 10 states, linked to outpatient laboratory values to identify patients potentially overtreated for diabetes (HbA1c < 6.5% with fills for any diabetes medications beyond metformin, 1/1/2011-6/30/2011). We examined characteristics associated with deintensification for potentially overtreated diabetic patients. We used multinomial logistic regression to examine whether patient characteristics associated with overtreatment of diabetes differed from those associated with undertreatment (i.e. HbA1c > 9.0%). KEY RESULTS: Of 78,792 Medicare recipients with diabetes, 8560 (10.9%) were potentially overtreated. Overtreatment of diabetes was more common among those who were over 75 years of age and enrolled in Medicaid (p < 0.001), and was less common among Hispanics (p = 0.009). Therapy was deintensified for 14% of overtreated diabetics. Appropriate deintensification of diabetic therapy was more common for patients with six or more chronic conditions, more outpatient visits, or living in urban areas; deintensification was less common for those over age 75. Only 6.9% of Medicare recipients with diabetes were potentially undertreated. Variables associated with overtreatment of diabetes differed from those associated with undertreatment. CONCLUSIONS: Medicare recipients are more frequently overtreated than undertreated for diabetes. Medicare recipients who are overtreated for diabetes rarely have their regimens deintensified.

Improving Measures of Sexual and Gender Identity in English and Spanish to Identify LGBT Older Adults in Surveys.

PURPOSE: The goal of this research is to advance the study of health disparities faced by older sexual and gender minorities by assessing comprehension of and improving measures of sexual and gender identity in surveys. METHODS: Cognitive interviews were conducted by expert interviewers with 48 non-lesbian, gay, bisexual, and transgender (non-LGBT) and 9 LGBT older English and Spanish speakers. RESULTS: All respondents were able to answer questions about their sex assigned at birth and current gender identity successfully despite some cisgender respondents' lack of clear understanding of the transgender response option. On the contrary, while the vast majority of English speakers could answer the question about their sexual identity successfully, almost 60% of the non-LGBT Spanish speakers did not select the "heterosexual, that is, not gay (or lesbian)" response category. Qualitative probing of their response process pointed mainly to difficulties understanding the term "heterosexual," leading to their choosing "something else" or saying that they didn't know how to answer. A second round of testing of alternative response categories for the sexual identity question with Spanish speakers found a marked improvement when offered "not gay (or lesbian), that is, heterosexual" instead of beginning with the term "heterosexual." CONCLUSION: This research adds to our understanding of gender and sexual identity questions appropriate for population surveys with older adults. Inclusion of these measures in surveys is a crucial step in advancing insights into the needs of and disparities faced by LGBT older adults.

Health Indicators for Older Sexual Minorities: National Health Interview Survey, 2013-2014.

PURPOSE: Advances in lesbian, gay, and bisexual (sexual minority [SM]) acceptance and equality have been made in the past decade. However, certain SM subgroups continue to be disadvantaged due to lack of data and, thus, lack of knowledge about these populations. Data for older sexual minorities are especially lacking and will be increasingly important as more sexual minorities enter older age. This research explores results from a nationally representative health survey to elucidate some health indicators for older sexual minorities. METHODS: Data from the 2013 and 2014 National Health Interview Surveys (NHIS) were pooled for increased sample size, and established research methods were followed as recommended by prior NHIS sexual orientation studies. We conducted descriptive analyses on the differences between SM and heterosexual groups, aged 65 years and older, for 12 health indicators. RESULTS: Four out of the 12 health indicators were significantly different for sexual minorities, and three out of those four indicated positive health outcomes or behaviors when compared with heterosexuals. Sexual minorities were more than three times as likely to receive HIV testing as heterosexual peers. Sexual minorities were more likely to receive an influenza vaccination, and much more likely to report excellent or very good health, than their heterosexual peers. Sexual minorities were more than twice as likely to report binge drinking, which is consistent with prior research for adult sexual minorities. CONCLUSION: This analysis is the first to examine national data on health indicators for sexual minorities, aged 65 years and older, using NHIS data. As more surveys begin to collect SMdata and more years of data are collected by NHIS, a clearer picture of the health of older adult sexual minorities should emerge.

Health Quality Measures Addressing Disparities in Culturally and Linguistically Appropriate Services: What are Current Gaps?

PURPOSE: Disparities in health care persist among many at-risk groups. This study examines the current state of health quality measures addressing disparities and culturally and linguistically appropriate services (CLAS), and identifies important gaps in existing measures and their implementation. METHODS: We searched key quality reporting databases and websites to identify measures and structural program requirements addressing disparities or CLAS. We also conducted a dozen semi-structured interviews to obtain expert perspectives. RESULTS: Twenty-four measures and eight private or public-sector programs with relevant structural requirements were identified. Half the measures focused on language needs. Few measures were used in national reporting programs and adoption of requirements has been limited. Barriers to implementation included lack of data among health plans, lack of health workforce training, and challenges in defining cultural competence. CONCLUSIONS: Future efforts should seek to enhance implementation of existing quality measures addressing disparities and CLAS, and address barriers to their adoption.

Data On Race, Ethnicity, And Language Largely Incomplete For Managed Care Plan Members.

The Affordable Care Act requires the federal government to collect and report population data on race, ethnicity, and language needs to help reduce health and health care disparities. We assessed data availability in commercial, Medicaid, and Medicare managed care plans using the Healthcare Effectiveness Data and Information Set. Data availability varied but remained largely incomplete.

Racial and Ethnic Differences in Satisfaction with Care Coordination Among VA and non-VA Medicare Beneficiaries.

Purpose: Patients who have multiple sources of care are at risk for fragmented and uncoordinated care, which can lead to poorer outcomes. Veteran Medicare beneficiaries who use the Veterans Health Administration (VHA) system (VA users), particularly racial/ethnic minorities, often have complex medical conditions that may require care from multiple sources, leaving them especially vulnerable to the effects of fragmented care. We examined racial/ethnic differences in the level of satisfaction with care coordination among Medicare beneficiaries, comparing those who do and do not use the VHA healthcare system. Methods: We conducted a retrospective, pooled, cross-sectional study of Medicare beneficiaries using the 2009-2011 Medicare Current Beneficiary Survey. The outcomes are self-reported satisfaction with care items related to three dimensions of care coordination: (1) integrated care, (2) care continuity, and (3) follow-up care. We present descriptive statistics and use generalized linear models to examine racial/ethnic differences across VA and non-VA users, after accounting for other demographic characteristics, health status, functional limitations, insurance coverage, and geographic variation. Results: VA users are more likely to be very satisfied with receiving both integrated and follow-up care compared with non-VA users. Despite the existence of significant racial/ethnic disparities in the likelihood of being very satisfied with receiving well-coordinated care in the larger Medicare population, racial/ethnic minority VA users are just as likely as White non-Hispanics to be very satisfied with receiving well-coordinated care. Conclusions: Future research should continue to study care coordination among VA users and reasons for preferring the VA over other healthcare systems, especially among racial/ethnic minority groups.

Few Disparities in Baseline Laboratory Testing After the Diuretic or Digoxin Initiation by Medicare Fee-For-Service Beneficiaries.

BACKGROUND: Despite the persistence of significant disparities, few evaluations examine disparities in laboratory testing by race/ethnicity, age, sex, Medicaid eligibility, and number of chronic conditions for Medicare fee-for-service beneficiaries' newly prescribed medications. In Medicare beneficiaries initiating diuretics or digoxin, this study examined disparities in guideline-appropriate baseline laboratory testing and abnormal laboratory values. METHODS AND RESULTS: To evaluate guideline-concordant testing for serum creatinine and serum potassium within 180 days before or 14 days after the index prescription fill date, we constructed retrospective cohorts from 10 states of 99 711 beneficiaries who had heart failure or hypertension initiating diuretic in 2011 and 8683 beneficiaries who had heart failure or atrial fibrillation initiating digoxin. Beneficiaries initiating diuretics were less likely to have testing if they were non-Hispanic Black (relative risk [RR], 0.99; 95% confidence interval [CI], 0.98-0.99) than non-Hispanic White. Beneficiaries initiating diuretics and beneficiaries initiating digoxin were more likely to have testing if they had multiple chronic conditions relative to 0 to 1 conditions. Beneficiaries initiating diuretics with laboratory values were more likely to have an abnormal serum creatinine value at baseline if they were non-Hispanic Black (RR, 2.57; 95% CI, 1.91-3.44), other race (RR, 2.11; 95% CI, 1.08-4.10), or male (RR, 2.75; 95% CI, 2.14-3.52) or an abnormal serum potassium value if they were aged ≥76 years (RR, 1.29; 95% CI, 1.09-1.51) or male (RR, 1.17; 95% CI, 1.03-1.33). CONCLUSIONS: Testing rates were consistently high, so there were negligible disparities in guideline-concordant testing of creatinine and potassium after the initiation of digoxin or diuretics by Medicare beneficiaries.

Frequency of Disparities in Laboratory Testing After Statin Initiation in Subjects ≥65 Years.

Laboratory testing is important for the safety of older adults initiating statins, but there has been little examination of laboratory testing disparities by race/ethnicity, age, gender, Medicaid eligibility, and multimorbidity. The study's purpose was to examine disparities in guideline-concordant baseline laboratory testing and abnormal laboratory values among a retrospective cohort of 76,868 Medicare fee-for-service beneficiaries from 10 states in the eastern United States who had dyslipidemia and initiated a statin from July 1 to November 30, 2011. Guideline-concordant assessment of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) was defined as evidence of an outpatient claim for either test within 180 days before or 14 days after the date of the index statin fill. In 2011, baseline laboratory testing rates were 89.3% for ALT and 88.8% for AST. Older adults were somewhat more likely to have ALT and AST testing if they were dually enrolled in Medicaid (relative risk 1.01, 95% confidence interval [CI] 1.00 to 1.02) or had multiple chronic conditions (relative risk 1.03, 95% CI 1.00 to 1.06 for 2 to 3 conditions; odds ratio [OR] 1.08, 95% CI 1.05 to 1.11 for 4 to 5 conditions; OR 1.14, 95% CI 1.11 to 1.17 for 6+ conditions), compared with 0 to 1 conditions. Non-Hispanic blacks were less likely to receive baseline testing (OR 0.97, 95% CI 0.96 to 0.98) than non-Hispanic Whites, and male beneficiaries were somewhat less likely to receive testing than female beneficiaries (OR 0.99, 95% CI 0.98 to 0.99). Abnormal values were rare. In conclusion, ALT and AST assessment after statin initiation was commonly done as recommended, and there were negligible disparities in testing rates for beneficiaries.

Racial/Ethnic Disparities in Medicare Beneficiaries' Care Coordination Experiences.

BACKGROUND: Little is known about racial/ethnic differences in the experience of care coordination. To the extent that they exist, such differences may exacerbate health disparities given the higher prevalence of some chronic conditions among minorities. OBJECTIVE: To investigate the extent to which racial/ethnic disparities exist in the receipt of coordinated care by Medicare beneficiaries. SUBJECTS: A total of 260,974 beneficiaries who responded to the 2013 Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey. METHODS: We fit a series of linear, case-mix adjusted models predicting Medicare CAHPS measures of care coordination from race/ethnicity. RESULTS: Hispanic, black, and Asian/Pacific Islander (API) beneficiaries reported that their personal doctor had medical records and other relevant information about their care significantly less often than did non-Hispanic white beneficiaries (-2 points for Hispanics, -1 point for blacks, and -4 points for APIs on a 100-point scale). These 3 groups also reported significantly greater difficulty getting timely follow-up on test results than non-Hispanic white beneficiaries (-9 points for Hispanics, -1 point for blacks, -5 points for APIs). Hispanic and black beneficiaries reported that help was provided in managing their care significantly less often than did non-Hispanic white beneficiaries (-2 points for Hispanics, -3 points for blacks). API beneficiaries reported that their personal doctor discussed their medications and had up-to-date information on care from specialists significantly less often than did non-Hispanic white beneficiaries (-2 and -4 points, respectively). DISCUSSION: These results suggest a need for efforts to address racial/ethnic disparities in care coordination to help ensure high-quality care for all patients. Public reporting of plan-level performance data by race/ethnicity may also be helpful to Medicare beneficiaries and their advocates.

Identifying the Transgender Population in the Medicare Program.

Purpose: To identify and describe the transgender population in the Medicare program using administrative data. Methods: Using a combination of International Classification of Diseases ninth edition (ICD-9) codes relating to transsexualism and gender identity disorder, we analyzed 100% of the 2013 Centers for Medicare & Medicaid Services (CMS) Medicare Fee-For-Service (FFS) "final action" claims from both institutional and noninstitutional providers (∼1 billion claims) to identify individuals who may be transgender Medicare beneficiaries. To confirm, we developed and applied a multistage validation process. Results: Four thousand ninety-eight transgender beneficiaries were identified, of which ∼90% had confirmatory diagnoses, billing codes, or evidence of a hormone prescription. In general, the racial, ethnic, and geographic distribution of the Medicare transgender population tends to reflect the broader Medicare population. However, age, original entitlement status, and disease burden of the transgender population appear substantially different. Conclusions: Using a variety of claims information, ranging from claims history to additional diagnoses, billing modifiers, and hormone prescriptions, we demonstrate that administrative data provide a valuable resource for identifying a lower bound of the Medicare transgender population. In addition, we provide a baseline description of the diversity and disease burden of the population and a framework for future research.

Medicare payments: how much do chronic conditions matter?

OBJECTIVE: Analyze differences in Medicare Fee-for-Service utilization (i.e., program payments) by beneficiary characteristics, such as gender, age, and prevalence of chronic conditions. METHODS: Using the 2008 and 2010 Chronic Conditions Public Use Files, we conduct a descriptive analysis of enrollment and program payments by gender, age categories, and eleven chronic conditions. RESULTS: We find that the effect of chronic conditions on Medicare payments is dramatic. Average Medicare payments increase significantly with the number of chronic conditions. Finally, we quantify the effect of individual conditions and find that "Stroke / Transient Ischemic Attack" and "Chronic Kidney Disease" are the costliest chronic conditions for Part A, and "Cancer" and "Chronic Kidney Disease" are the costliest for Part B.

Activities of daily living, chronic medical conditions, and health-related quality of life in older adults.

This study investigated associations between chronic medical conditions, activities of daily living (ADL), and health-related quality of life (HRQOL). Our findings suggest that the number of ADL limitations reported by older adults is associated with their HRQOL. Findings from our analyses also suggest that the association between having multiple comorbid conditions and HRQOL is stronger for those with no ADL limitations than those with at least some limitations. These data will aid practitioners in determining the relative importance of chronic medical conditions and ADL limitations on HRQOL and demonstrate how ADL limitations and comorbid conditions may differentially impact HRQOL.

Do Community and Caregiver Factors Influence Hospice Use at the End of Life Among Older Adults With Alzheimer Disease?

Hospice is an underused service among people with Alzheimer disease. This study used the Hospice Use Model to examine community, care recipient, and caregiver characteristics associated with hospice use before death among 145 community-dwelling care recipients with Alzheimer disease and their caregivers. Secondary analysis using logistic regression modeling indicated that older age, male gender, black race, and better functional health of care recipients with Alzheimer disease were associated with a decreased likelihood of using hospice (model χ25 = 23.5, P = .0003). Moreover, care recipients recruited from an Alzheimer clinic were more likely to use hospice than those recruited from adult day-care centers. Caregiver factors were not independent predictors of hospice use. However, there was a significant interaction between hours of care provided each week and recruitment site. Among care recipients from the Alzheimer clinic, the probability of hospice use increased as caregiving intensity increased. This relationship was reversed in care recipients from day-care centers. Results suggest that adult day-care centers need to partner with hospice programs in the community. In conclusion, care recipient and community service factors influence hospice use in individuals with Alzheimer disease.

Association of Health Plans' Healthcare Effectiveness Data and Information Set (HEDIS) performance with outcomes of enrollees with diabetes.

BACKGROUND: Few quality of care evaluations examine the relationship between clinical processes and patient outcomes. OBJECTIVE: To determine the association between health plan performance on Healthcare Effectiveness Data and Information Set (HEDIS) clinical processes and intermediate outcome measures and Health Outcomes Survey (HOS) self-reported physical and mental health scores among Medicare plan enrollees with diabetes. RESEARCH DESIGN: Secondary data analysis of 2002 HEDIS and 2001-2003 HOS data. SUBJECTS: This study focused on Medicare plan enrollees with self-reported diabetes (N = 8184). MEASURES: Plan-level HEDIS diabetes care measures for 2002 and longitudinal, patient-level 2001-2003 HOS physical and mental health outcomes scores. Hierarchical linear models estimated the relationship between plan HEDIS performance on diabetes process of care and intermediate outcome measures and 2-year changes in enrollee HOS physical and mental health scores. RESULTS: Each 10% point improvement in plan performance on HEDIS intermediate outcomes (ie, the proportion of well-controlled diabetes) was related to significant positive increase in the probability of being healthy as measured by both enrollee physical health scores (7 percentage point increase, P < 0.05) and mental health scores (11 percentage point increase, P < 0.01). Similar increases in plan process of care measures were associated with increases in the probability of being healthy as measured by enrollee mental health scores (11 percentage point increase, P < 0.001). CONCLUSIONS: This study represents one of the first attempts to link plan HEDIS performance to changes in enrollee health. The results suggest that improved quality of care, as measured by process and intermediate outcomes measures for diabetes, can result in better health among patients with diabetes. Further research should address whether this relationship exists in other quality measures, clinical conditions, and populations.

Impact of cancer on health-related quality of life of older Americans.

BACKGROUND: The impact of cancer on health-related quality of life (HRQOL) is poorly understood because of the lack of baseline HRQOL status before cancer diagnosis. To our knowledge, this is the first population-based study to quantify the nature and extent of HRQOL changes from before to after cancer diagnosis for nine types of cancer patients and to compare their health with individuals without cancer. METHODS: The Surveillance, Epidemiology, and End Results cancer registry data were linked with the Medicare Health Outcomes Survey (MHOS) data; data were collected from Medicare beneficiaries who were aged 65 years and older from 1998 through 2003. Cancer patients (n = 1432; with prostate, breast, colorectal, lung, bladder, endometrial, or kidney cancers; melanoma; or non-Hodgkin lymphoma [NHL]) were selected whose first cancer diagnosis occurred between their baseline and follow-up MHOS assessments. Control subjects without cancer (n = 7160) were matched to cancer patients by use of propensity scores that were estimated from demographics and comorbid medical conditions. Analysis of covariance models were used to estimate changes in HRQOL as assessed with the Medical Outcomes Study Short Form-36 survey (mean score = 50, SD = 10). All statistical tests were two-sided. RESULTS: Patients with all cancer types (except melanoma and endometrial cancer) reported statistically significant declines in physical health (mean scores: prostate cancer = -3.4, 95% confidence interval [CI] = -2.5 to -4.2; breast cancer = -3.5, 95% CI = -2.5 to -4.5; bladder cancer = -4.3, 95% CI = -2.5 to -6.1; colorectal cancer = -4.4, 95% CI = -3.3 to -5.5; kidney cancer = -5.7, 95% CI = -3.2 to -8.2; NHL = -6.7, 95% CI = -4.4 to -9.1; and lung cancer = -7.5, 95% CI = -5.9 to -9.2) compared with the control subjects (mean score = -1.8, 95% CI = -1.6 to -2.0) (all P < .05). However, only lung (mean score = -5.4, 95% CI = -3.5 to -7.2), colorectal (mean score = -3.5, 95% CI = -2.2 to -4.7), and prostate (mean score = -2.8, 95% CI = -1.8 to -3.7) cancer patients showed statistically significant decreases in mental health relative to the mean change of the control subjects (mean score = -1.2, 95% CI = -0.9 to -1.4) (all P < .05). CONCLUSION: These findings provide validation of the specific deleterious effects of cancer on HRQOL and an evidence base for future research and clinical interventions aimed at understanding and remediating these effects.

Differences in risk-adjusted mortality between medicaid-eligible patients enrolled in medicare advantage plans and those enrolled in the veterans health administration.

BACKGROUND: We compared risk-adjusted mortality rates between Medicaid-eligible patients in the Medicare Advantage plans ("MA dual enrollees") and Medicaid-eligible patients in the Veterans Health Administration ("VHA dual enrollees"). METHODS: We used the Death Master File to ascertain the vital status of 1912 MA and 2361 VHA dual enrollees. We used Cox regression models to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS: The 3-year mortality rates of VHA and MA dual enrollees were 15.8% and 19.0%, respectively. The adjusted HR of mortality in the MA dual enrollees was significantly higher than in the VHA dual enrollees (HR, 1.260 [95% CI, 1.044-1.520]). This was also the case for elderly patients and those from racial/ethnic minority groups. CONCLUSIONS: The VHA had better health outcomes than did MA plans. The VHA's performance is reassuring, given its emphasis on equal access to healthcare in an environment that is less dependent on patient financial considerations.

Change in health-related quality of life of newly diagnosed cancer patients, cancer survivors, and controls.

BACKGROUND: Data from the 1998 Health Outcomes Survey (HOS) of patients who were enrolled in Medicare managed care and follow-up data from the 2000 HOS resurvey were analyzed to examine changes in health-related quality of life (HRQOL) of newly diagnosed cancer patients, cancer survivors, and patients without cancer. METHODS: In 1998, the HOS was mailed to a random sample of 279,135 beneficiaries, and 167,096 respondents (60%) returned completed surveys. Those who were diagnosed with cancer (22,747) were frequency age-matched to an equal number of patients with no cancer. In 2000, the HOS was mailed to the same cohort of beneficiaries. Complete data at both baseline and follow-up were available on 16,850 individuals for inclusion in the current study. RESULTS: After 2 years, respondents who had been diagnosed with cancer at baseline continued to have lower scores on all but 3 scales of the 36-item short-form HRQOL measure. However, there was no evidence that they were declining any faster than or catching up with noncancer patients. Those who had been newly diagnosed with cancer since the baseline survey had lower mean scale scores than the no-cancer group on all scales and lower mean scores than the cancer survivors on all subscales except Bodily Pain, Vitality, and Mental Health. CONCLUSIONS: This study demonstrated that, after 2 years, cancer survivors continued to have poorer HRQOL than the no-cancer group. Newly diagnosed cancer patients had poorer quality of life than both the longer term cancer survivors and the no-cancer group.