A Structural Model of Social Determinants of the Metabolic Syndrome.

Objectives: The metabolic syndrome (MetS) refers to a cluster of interrelated physiological characteristics that are associated with an increased risk of cardiovascular disease and diabetes. While the clinical usefulness of the MetS has been the subject of controversy for years, increasingly sophisticated methods are being used to measure the concept. Participants: Study of community health center patients who were not diabetic; study group was evenly divided between Black and White adults. Main Outcome Measures: Latent MetS score and MetS status based on the five-point scale developed by the National Cholesterol Education Panel (NCEP). Methods: Structural equation modeling of MetS incorporating the effects of race/ethnicity, racial discrimination, socioeconomic position (SEP), and selected mediating variables. Results: The largest influences on latent MetS scores were SEP (negative relationship) and male gender (higher scores for men). Two mediating variables, physical activity and stress-related eating, had smaller impacts. Self-reported racial discrimination was associated with cynical hostility but did not influence the MetS level among nondiabetics. Despite higher NCEP scores and MetS prevalence rates for Blacks compared with Whites, race did not have direct effect on MetS levels when adjusted for the other characteristics in our model. Conclusions: Neither race nor self-reported racial discrimination had direct effects on MetS level in our structural model. The large effects of socioeconomic position and male gender were not mediated by the other variables in the model.

Healthcare experience among older cancer survivors: Analysis of the SEER-CAHPS dataset.

OBJECTIVE: Little is known about factors affecting medical care experiences of cancer survivors. This study examined experience of care among cancer survivors and assessed associations of survivors' characteristics with their experience. MATERIALS AND METHODS: We used a newly-developed, unique data resource, SEER-CAHPS (NCI's Surveillance Epidemiology and End Results [SEER] data linked to Medicare Consumer Assessment of Healthcare Providers and Systems [CAHPS] survey responses), to examine experiences of care among breast, colorectal, lung, and prostate cancer survivors age >66years who completed CAHPS >1year after cancer diagnosis and survived ≥1year after survey completion. Experience of care was assessed by survivor-provided scores for overall care, health plan, physicians, customer service, doctor communication, and aspects of care. Multivariable logistic regression models assessed associations of survivors' sociodemographic and clinical characteristics with care experience. RESULTS: Among 19,455 cancer survivors with SEER-CAHPS data, higher self-reported general-health status was significantly associated with better care experiences for breast, colorectal, and prostate cancer survivors. In contrast, better mental-health status was associated with better care experience for lung cancer survivors. College-educated and Asian survivors were less likely to indicate high scores for care experiences. Few differences in survivors' experiences were observed by sex or years since diagnosis. CONCLUSIONS: The SEER-CAHPS data resources allows assessment of factors influencing experience of cancer among U.S. cancer survivors. Higher self-reported health status was associated with better experiences of care; other survivors' characteristics also predicted care experience. Interventions to improve cancer survivors' health status, such as increased access to supportive care services, may improve experience of care.

The health care experience of patients with cancer during the last year of life: Analysis of the SEER-CAHPS data set.

BACKGROUND: Providing high-quality medical care for individuals with cancer during their last year of life involves a range of challenges. An important component of high-quality care during this critical period is ensuring optimal patient satisfaction. The objective of the current study was to assess factors influencing health care ratings among individuals with cancer within 1 year before death. METHODS: The current study used the Surveillance, Epidemiology, and End Results (SEER)-Consumer Assessment of Healthcare Providers and Systems (CAHPS) data set, a new data resource linking patient-reported information from the CAHPS Medicare Survey with clinical information from the National Cancer Institute's SEER program. The study included 5102 Medicare beneficiaries diagnosed with cancer who completed CAHPS between 1998 and 2011 within 1 year before their death. Multivariable logistic regression analyses examined associations between patient demographic and insurance characteristics with 9 measures of health care experience. RESULTS: Patients with higher general or mental health status were significantly more likely to indicate excellent experience with nearly all measures examined. Sex, race/ethnicity, and education also were found to be significant predictors for certain ratings. Greater time before death predicted an increased likelihood of higher ratings for health plan and specialist physician. Clinical characteristics were found to have few significant associations with experience of care. Individuals in fee-for-service Medicare plans (vs Medicare Advantage) had a greater likelihood of excellent experience with health plans, getting care quickly, and getting needed care. CONCLUSIONS: Among patients with cancer within 1 year before death, experience with health plans, physicians, and medical care were found to be associated with sociodemographic, insurance, and clinical characteristics. These findings provide guidance for the development of programs to improve the experience of care among individuals with cancer. Cancer 2017;123:336-344. © 2016 American Cancer Society.

Unveiling SEER-CAHPS®: a new data resource for quality of care research.

BACKGROUND: Since 1990, the National Cancer Institute (NCI) and Centers for Medicare and Medicaid Services (CMS) have collaborated to create linked data resources to improve our understanding of patterns of care, health care costs, and trends in utilization. However, existing data linkages have not included measures of patient experiences with care. OBJECTIVE: To describe a new resource for quality of care research based on a linkage between the Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS®) patient surveys and the NCI's Surveillance, Epidemiology and End Results (SEER) data. DESIGN: This is an observational study of CAHPS respondents and includes both fee-for-service and Medicare Advantage beneficiaries with and without cancer. The data linkage includes: CAHPS survey data collected between 1998 and 2010 to assess patient reports on multiple aspects of their care, such as access to needed and timely care, doctor communication, as well as patients' global ratings of their personal doctor, specialists, overall health care, and their health plan; SEER registry data (1973-2007) on cancer site, stage, treatment, death information, and patient demographics; and longitudinal Medicare claims data (2002-2011) for fee-for-service beneficiaries on utilization and costs of care. PARTICIPANTS: In total, 150,750 respondents were in the cancer cohort and 571,318 were in the non-cancer cohort. MAIN MEASURES: The data linkage includes SEER data on cancer site, stage, treatment, death information, and patient demographics, in addition to longitudinal data from Medicare claims and information on patient experiences from CAHPS surveys. KEY RESULTS: Sizable proportions of cases from common cancers (e.g., breast, colorectal, prostate) and short-term survival cancers (e.g., pancreas) by time since diagnosis enable comparisons across the cancer care trajectory by MA vs. FFS coverage. CONCLUSIONS: SEER-CAHPS is a valuable resource for information about Medicare beneficiaries' experiences of care across different diagnoses and treatment modalities, and enables comparisons by type of insurance.

Spatial Heterogeneity in Cancer Control Planning and Cancer Screening Behavior.

Each state is autonomous in its comprehensive cancer control (CCC) program, and considerable heterogeneity exists in the program plans. However, researchers often focus on the concept of nationally representative data and pool observations across states using regression analysis to come up with average effects when interpreting results. Due to considerable state autonomy and heterogeneity in various dimensions-including culture, politics, historical precedent, regulatory environment, and CCC efforts-it is important to examine states separately and to use geographic analysis to translate findings in place and time. We used 100 percent population data for Medicare-insured persons aged 65 or older and examined predictors of breast cancer (BC) and colorectal cancer (CRC) screening from 2001-2005. Examining BC and CRC screening behavior separately in each state, we performed 100 multilevel regressions. We summarize the state-specific findings of racial disparities in screening for either cancer in a single bivariate map of the 50 states, producing a separate map for African American and for Hispanic disparities in each state relative to whites. The maps serve to spatially translate the voluminous regression findings regarding statistically significant disparities between whites and minorities in cancer screening within states. Qualitative comparisons can be made of the states' disparity environments or for a state against a national benchmark using the bivariate maps. We find that African Americans in Michigan and Hispanics in New Jersey are significantly more likely than whites to utilize CRC screening and that Hispanics in 6 states are significantly and persistently more likely to utilize mammography than whites. We stress the importance of spatial translation research for informing and evaluating CCC activities within states and over time.

Community contextual predictors of endoscopic colorectal cancer screening in the USA: spatial multilevel regression analysis.

BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer death in the United States, and endoscopic screening can both detect and prevent cancer, but utilization is suboptimal and varies across geographic regions. We use multilevel regression to examine the various predictors of individuals' decisions to utilize endoscopic CRC screening. Study subjects are a 100% population cohort of Medicare beneficiaries identified in 2001 and followed through 2005. The outcome variable is a binary indicator of any sigmoidoscopy or colonoscopy use over this period. We analyze each state separately and map the findings for all states together to reveal patterns in the observed heterogeneity across states. RESULTS: We estimate a fully adjusted model for each state, based on a comprehensive socio-ecological model. We focus the discussion on the independent contributions of each of three community contextual variables that are amenable to policy intervention. Prevalence of Medicare managed care in one's neighborhood was associated with lower probability of screening in 12 states and higher probability in 19 states. Prevalence of poor English language ability among elders in one's neighborhood was associated with lower probability of screening in 15 states and higher probability in 6 states. Prevalence of poverty in one's neighborhood was associated with lower probability of screening in 36 states and higher probability in 5 states. CONCLUSIONS: There are considerable differences across states in the socio-ecological context of CRC screening by endoscopy, suggesting that the current decentralized configuration of state-specific comprehensive cancer control programs is well suited to respond to the observed heterogeneity. We find that interventions to mediate language barriers are more critically needed in some states than in others. Medicare managed care penetration, hypothesized to affect information about and diffusion of new endoscopic technologies, has a positive association in only a minority of states. This suggests that managed care plans' promotion of this cost-increasing technology has been rather limited. Area poverty has a negative impact in the vast majority of states, but is positive in five states, suggesting there are some effective cancer control policies in place targeting the poor with supplemental resources promoting CRC screening.

Predictors of endoscopic colorectal cancer screening over time in 11 states.

OBJECTIVES: We study a cohort of Medicare-insured men and women aged 65+ in the year 2000, who lived in 11 states covered by Surveillance, Epidemiology, and End Results (SEER) cancer registries, to better understand various predictors of endoscopic colorectal cancer (CRC) screening. METHODS: We use multilevel probit regression on two cross-sectional periods (2000-2002, 2003-2005) and include people diagnosed with breast cancer, CRC, or inflammatory bowel disease (IBD) and a reference sample without cancer. RESULTS: Men are not universally more likely to be screened than women, and African Americans, Native Americans, and Hispanics are not universally less likely to be screened than whites. Disparities decrease over time, suggesting that whites were first to take advantage of an expansion in Medicare benefits to cover endoscopic screening for CRC. Higher-risk persons had much higher utilization, while older persons and beneficiaries receiving financial assistance for Part B coverage had lower utilization and the gap widened over time. CONCLUSIONS: Screening for CRC in our Medicare-insured sample was less than optimal, and reasons varied considerably across states. Negative managed care spillovers were observed, demonstrating that policy interventions to improve screening rates should reflect local market conditions as well as population diversity.

Mental health service use during the transition to adulthood for adolescents reported to the child welfare system.

OBJECTIVE: This study analyzed patterns of outpatient mental health service use from adolescence into early adulthood among young adults who were reported as victims of maltreatment in adolescence. METHODS: Data were from the National Survey of Child and Adolescent Well-Being, a national probability study of children for whom maltreatment was investigated by the child welfare system. The sample consisted of 616 young adults aged 12 to 15 at baseline. Analysis used descriptive statistics to determine need for and use of outpatient mental health services across time. Logistic regression was used to examine predictors of use of outpatient mental health services in young adulthood. RESULTS: Almost half of the young adults in this sample had one or more indicators of mental health problems. There was a significant decrease in use of specialty mental health services from adolescence to young adulthood, declining from 47.6% at baseline, to 14.3% at the five- to six- year follow-up. Among young adults with mental health problems, less than a quarter used outpatient mental health services. Logistic regression results indicated that having mental health problems, having Medicaid, and being white were positively associated with use of outpatient mental health services in young adulthood. CONCLUSIONS: Mental health problems were prevalent among young adults who were suspected of being maltreated when they were adolescents, but only about a quarter of those in need used outpatient mental health services. Interventions to improve access to outpatient mental health services for this vulnerable population should particularly support outreach and engagement of young adults who are uninsured and from racial or ethnic minority groups with a history of involvement with the child welfare system in order to meet their unique developmental needs.

The impact of welfare reform on insurance coverage before pregnancy and the timing of prenatal care initiation.

OBJECTIVE: This study investigates the impact of welfare reform on insurance coverage before pregnancy and on first-trimester initiation of prenatal care (PNC) among pregnant women eligible for Medicaid under welfare-related eligibility criteria. DATA SOURCES: We used pooled data from the Pregnancy Risk Assessment Monitoring System for eight states (AL, FL, ME, NY, OK, SC, WA, and WV) from 1996 through 1999. STUDY DESIGN: We estimated a two-part logistic model of insurance coverage before pregnancy and first-trimester PNC initiation. The impact of welfare reform on insurance coverage before pregnancy was measured by marginal effects computed from coefficients of an interaction term for the postreform period and welfare-related eligibility and on PNC initiation by the same interaction term and the coefficients of insurance coverage adjusted for potential simultaneous equation bias. We compared the estimates from this model with results from simple logistic, ordinary least squares, and two-stage least squares models. PRINCIPAL FINDINGS: Welfare reform had a significant negative impact on Medicaid coverage before pregnancy among welfare-related Medicaid eligibles. This drop resulted in a small decline in their first-trimester PNC initiation. Enrollment in Medicaid before pregnancy was independent of the decision to initiate PNC, and estimates of the effect of a reduction in Medicaid coverage before pregnancy on PNC initiation were consistent over the single- and two-stage models. Effects of private coverage were mixed. Welfare reform had no impact on first-trimester PNC beyond that from reduced Medicaid coverage in the pooled regression but separate state-specific regressions suggest additional effects from time and income constraints induced by welfare reform may have occurred in some states. CONCLUSIONS: Welfare reform had significant adverse effects on insurance coverage and first-trimester PNC initiation among our nation's poorest women of childbearing age. Improved outreach and insurance options for these women are needed to meet national health goals.