Racial and ethnic disparities among state Medicaid programs for breast cancer screening.

Breast cancer screening by mammography has been shown to reduce breast cancer morbidity and mortality. The use of mammography screening though varies by race, ethnicity, and, sociodemographic characteristics. Medicaid is an important source of insurance in the US for low-income beneficiaries, who are disproportionately members of racial or ethnic minorities, and who are less likely to be screened than women with higher socioeconomic statuses. We used 2006-2008 data from Medicaid claims and enrollment files to assess racial or ethnic and geographic disparities in the use of breast cancer screening among Medicaid-insured women at the state level. There were disparities in the use of mammography among racial or ethnic groups relative to white women, and the use of mammography varied across the 44 states studied. African American and American Indian women were significantly less likely than white women to use mammography in 30% and 39% of the 44 states analyzed, respectively, whereas Hispanic and Asian American women were the minority groups most likely to receive screening compared with white women. There are racial or ethnic disparities in breast cancer screening at the state level, which indicates that analyses conducted by only using national data not stratified by insurance coverage are insufficient to identify vulnerable populations for interventions to increase the use of mammography, as recommended.

Breast Cancer Screening Among Women with Medicaid, 2006-2008: a Multilevel Analysis.

INTRODUCTION: Nationally, about one third of women with breast cancer (BC) are diagnosed at late stage, which might be reduced with greater utilization of BC screening. The purpose of this paper is to examine the predictors of BC mammography use among women with Medicaid, and differences among Medicaid beneficiaries in their propensity to use mammography. METHODS: The sample included 2,450,527 women drawn from both fee-for-service and managed care Medicaid claims from 25 states, during 2006-2008. The authors used multilevel modeling of predictors at person, county, and state levels of influence and examined traditional factors affecting access and the expanded scope of practice allowed for the nurse practitioner (NP) in some states to provide primary care independent of physician oversight. RESULTS: Black [OR = 0.87; 95 % CI (0.87-0.88)] and American Indian women [OR = 0.74; 95 % CI (0.71-0.76)] had lower odds ratio of mammography use than white women, while Hispanic [OR = 1.06; 95 % CI (1.05-1.07)] had higher odds ratio of mammography use than white women. Living in counties with higher Hispanic residential segregation [OR = 1.16; 95 % CI (1.10-1.23)] was associated with a higher odds ratio of mammography use compared to areas with low Hispanic residential segregation, whereas living among more segregated black [OR = 0.78; 95 % CI (0.75-0.81)] or Asian [OR = 0.19; 95 % CI (0.17-0.21)] communities had lower odds ratio compared to areas with low segregation. Holding constant statistically the perceived shortage of MDs, which was associated with significantly lower mammography use, the NP regulatory variable [OR = 1.03; 95 % CI (1.01-1.07)] enhanced the odds ratio of mammography use among women in the six states with expanded scope of practice, compared with women residing in 19 more restrictive states. CONCLUSIONS: Racial and ethnic disparities exist in the use of mammography among Medicaid-insured women. More expansive NP practice privileges in states are associated with higher utilization, and may help reduce rural disparities.

Medicare managed care plan performance: a comparison across hospitalization types.

OBJECTIVE: The study evaluates the performance of Medicare managed care (Medicare Advantage [MA]) Plans in comparison to Medicare fee-for-service (FFS) Plans in three states with historically high Medicare managed care penetration (New York, California, Florida), in terms of lowering the risks of preventable or ambulatory care sensitive conditions (ACSC) hospital admissions and providing increased referrals for admissions for specialty procedures. STUDY DESIGN/METHODS: Using 2004 hospital discharge files from the Healthcare Cost and Utilization Project (HCUP-SID) of the Agency for Healthcare Research and Quality, ACSC admissions are compared with 'marker' admissions and 'referral-sensitive' admissions, using a multinomial logistic regression approach. The year 2004 represents a strategic time to test the impact of MA on preventable hospitalizations, because the HMOs dominated the market composition in that time period. FINDINGS: MA enrollees in California experienced 22% lower relative risk (RRR= 0.78, p<0.01), those in Florida experienced 16% lower relative risk (RRR= 0.84, p<0.01), while those in New York experienced 9% lower relative risk (RRR=0.91, p<0.01) of preventable (versus marker) admissions compared to their FFS counterparts. MA enrollees in New York experienced 37% higher relative risk (RRR=1.37, p<0.01) and those in Florida had 41% higher relative risk (RRR=1.41, p<0.01)-while MA enrollees in California had 13% lower relative risk (RRR=0.87, p<0.01)-of referral-sensitive (versus marker) admissions compared to their FFS counterparts. CONCLUSION: While MA plans were associated with reductions in preventable hospitalizations in all three states, the effects on referral-sensitive admissions varied, with California experiencing lower relative risk of referral-sensitive admissions for MA plan enrollees. The lower relative risk of preventable admissions for MA plan enrollees in New York and Florida became more pronounced after accounting for selection bias.

The effects of safety net hospital closures and conversions on patient travel distance to hospital services.

OBJECTIVE: To examine the effects of safety net hospital (SNH) closure and for-profit conversion on uninsured, Medicaid, and racial/ethnic minorities. DATA SOURCES/EXTRACTION METHODS: Hospital discharge data for selected states merged with other sources. STUDY DESIGN: We examined travel distance for patients treated in urban hospitals for five diagnosis categories: ambulatory care sensitive conditions, referral sensitive conditions, marker conditions, births, and mental health and substance abuse. We assess how travel was affected for patients after SNH events. Our multivariate models controlled for patient, hospital, health system, and neighborhood characteristics. PRINCIPAL FINDINGS: Our results suggested that certain groups of uninsured and Medicaid patients experienced greater disruption in patterns of care, especially Hispanic uninsured and Medicaid women hospitalized for births. In addition, relative to privately insured individuals in SNH event communities, greater travel for mental health and substance abuse care was present for the uninsured. CONCLUSIONS: Closure or for-profit conversions of SNHs appear to have detrimental access effects on particular subgroups of disadvantaged populations, although our results are somewhat inconclusive due to potential power issues. Policy makers may need to pay special attention to these patient subgroups and also to easing transportation barriers when dealing with disruptions resulting from reductions in SNH resources.

Building a biomedical cyberinfrastructure for collaborative research.

For the potential power of genome-wide association studies (GWAS) and translational medicine to be realized, the biomedical research community must adopt standard measures, vocabularies, and systems to establish an extensible biomedical cyberinfrastructure. Incorporating standard measures will greatly facilitate combining and comparing studies via meta-analysis. Incorporating consensus-based and well-established measures into various studies should reduce the variability across studies due to attributes of measurement, making findings across studies more comparable. This article describes two well-established consensus-based approaches to identifying standard measures and systems: PhenX (consensus measures for phenotypes and eXposures), and the Open Geospatial Consortium (OGC). NIH support for these efforts has produced the PhenX Toolkit, an assembled catalog of standard measures for use in GWAS and other large-scale genomic research efforts, and the RTI Spatial Impact Factor Database (SIFD), a comprehensive repository of geo-referenced variables and extensive meta-data that conforms to OGC standards. The need for coordinated development of cyberinfrastructure to support measures and systems that enhance collaboration and data interoperability is clear; this paper includes a discussion of standard protocols for ensuring data compatibility and interoperability. Adopting a cyberinfrastructure that includes standard measures and vocabularies, and open-source systems architecture, such as the two well-established systems discussed here, will enhance the potential of future biomedical and translational research. Establishing and maintaining the cyberinfrastructure will require a fundamental change in the way researchers think about study design, collaboration, and data storage and analysis.

Managed care and the diffusion of endoscopy in fee-for-service Medicare.

OBJECTIVE: To determine whether Medicare managed care penetration impacted the diffusion of endoscopy services (sigmoidoscopy, colonoscopy) among the fee-for-service (FFS) Medicare population during 2001-2006. METHODS: We model utilization rates for colonoscopy or sigmoidoscopy as impacted by both market supply and demand factors. We use spatial regression to perform ecological analysis of county-area utilization rates over two time intervals (2001-2003, 2004-2006) following Medicare benefits expansion in 2001 to cover colonoscopy for persons of average risk. We examine each technology in separate cross-sectional regressions estimated over early and later periods to assess differential effects on diffusion over time. We discuss selection factors in managed care markets and how failure to control perfectly for market selection might impact our managed care spillover estimates. RESULTS: Areas with worse socioeconomic conditions have lower utilization rates, especially for colonoscopy. Holding constant statistically the socioeconomic factors, we find that managed care spillover effects onto FFS Medicare utilization rates are negative for colonoscopy and positive for sigmoidoscopy. The spatial lag estimates are conservative and interpreted as a lower bound on true effects. Our findings suggest that managed care presence fostered persistence of the older technology during a time when it was rapidly being replaced by the newer technology.