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Effect of Medicare coverage on use of invasive colorectal cancer screening tests.

BACKGROUND: Colorectal cancer is the second leading cause of cancer death in the United States. Screening for colorectal cancer is now widely recommended but underused. Lack of insurance coverage for screening tests may be one reason patients do not undergo these procedures. OBJECTIVE: To determine the effect of Medicare reimbursement on utilization rates of invasive screening tests. Use of fecal occult blood testing was not studied before 1998. METHODS: We performed a retrospective analysis of ambulatory claims data for Washington State Medicare beneficiaries in 1994, 1995, and 1998. We determined the proportion of patients undergoing diagnostic and screening flexible sigmoidoscopy, colonoscopy, or double-contrast barium enema in 1994, 1995, and 1998 and the proportion receiving fecal occult blood testing in 1998. RESULTS: Use of diagnostic and screening colon tests was low in all years. Fewer than 6% of beneficiaries received any colon test, and fewer than 4% received a screening test. Although more patients underwent diagnostic testing after Medicare coverage began, use of screening tests did not significantly change (odds ratio, 0.99; 95% confidence interval, 0.97-1.01 comparing 1994 and 1998 [P =.33]). Women, individuals older than 80 years, and nonwhite patients were statistically significantly less likely to be screened in all 3 years (P<.001). In 1998, fewer than 7% of patients underwent fecal occult blood testing, with men and nonwhites statistically significantly less likely to have this test (P<.001). CONCLUSIONS: Colorectal cancer screening tests are underused in the Washington State Medicare population, and insurance coverage for these tests did not substantially affect utilization rates in the period studied.

Aged↗

Duplicate coverage and demand for health care. The case of Catalonia.

An individual has duplicate coverage when he enjoys a compulsory medical public insurance, and in addition he has purchased a private one. This paper studies the implications of duplicate coverage on both demand for visits to specialists and on the selection process of the private insurance market. Econometric models, estimated by the generalized method of moments, accommodate both the endogeneity of insurance choice decision and the non-negativity of the variable number of visits. The choice of instrumental variables is motivated within a theoretical model of demand for health care. The results shows that endogeneity is important for the subsample of heads of household, but not for the subsample of non-heads of household. For the subsample of non-heads of household, a positive effect of duplicate coverage on the number of visits to specialists is found. Health related variables, education and income are also important. Results are consistent with the idea that heads of household that buy private insurance are the ones with poor unobservable health conditions. It is argued that this last result is related to the existence of a compulsory public insurance.

Health Services Needs and Demand↗

Increasing health insurance coverage in the first year of life.

OBJECTIVES: To determine the proportion of infants who are uninsured and the sociodemographic characteristics of their mothers, including prenatal and post-partum insurance coverage, in order to identify strategies to increase infant health coverage. METHODS: Data from the 2001 California Maternal and Infant Health Assessment (MIHA) were analyzed. MIHA is a cross-sectional survey of a statewide representative sample of 3,475 postpartum women. We calculated the proportion of uninsured infants overall and by several maternal characteristics. Adjusted and unadjusted odds ratios for infant uninsurance are reported. RESULTS: In the overall study sample, 8.7% of infants were uninsured. Low-income infants were significantly more likely to be uninsured than infants in households with incomes above 200% of the federal poverty level (13.7% vs. 2.5%). The mother's prenatal and post-partum health coverage, her age, and family income were associated with an increased risk of infant uninsurance after adjustment for other maternal characteristics. A large majority of the uninsured infants (88.1%) were living in low-income families. The mothers of 60% of the uninsured infants were enrolled in Medicaid during the pregnancy. CONCLUSIONS: Approximately 14% of California's low-income infants were uninsured at the time of the survey despite being income-eligible for Medicaid. The proportion of uninsured infants could potentially be reduced by more than one-half through strategies to provide 12 month continuous enrollment of infants with federally mandated Medicaid eligibility for the first year of life.

Adolescent↗

MetaGLIMPSE: Meta-imputation of low-coverage sequencing data for modern and ancient genomes.

The advent of efficient and accurate imputation for low-coverage sequencing offers an unbiased alternative to SNP array imputation, increasing the accuracy of rare variant imputation across all populations. Since imputation accuracy generally increases with larger reference panels and closer ancestry match between target and reference samples, leveraging imputation from multiple reference panels improves imputation accuracy; however, individual reference panel genotypes are often privacy protected. Meta-imputation bypasses individual-level data by combining single-panel imputed genotypes through estimating panel- and marker-specific weights. We present a meta-imputation method, MetaGLIMPSE, that combines estimates from multiple reference panels for low-coverage sequencing imputation. Across all our scenarios, for both modern and ancient DNA samples, MetaGLIMPSE consistently outperforms the best single-panel imputation for coverages of 0.1&#xd7;-8&#xd7; and across all minor-allele frequencies, equaling the combined panel imputation for some parameters. Finally, MetaGLIMPSE is computationally efficient, meta-imputing 500 whole genomes in 16% of the time of GLIMPSE2.

Humans↗

Access to emergency care: restricted by long waiting times and cost and coverage concerns.

STUDY OBJECTIVE: We monitor progress toward Healthy People 2010 objectives of reducing health disparities and decreasing delay and difficulty in access to emergency care. METHODS: This was a secondary analysis of 2001 National Health Interview Survey interviews of 33,326 adults to provide population-based estimates of self-reported delay, difficulty, or inability to get care from a hospital emergency department (ED) in the preceding 12 months. RESULTS: About 7.7% of the estimated 36.6 million adults who sought care in a hospital ED in the preceding 12 months reported a delay in receiving care, having difficulty receiving care, or being unable to receive care. Waiting times were the most frequently noted cause of problems. Concerns about service costs and insurance coverage were also commonly cited access barriers. Access problems were more likely to be reported by adults without health insurance, younger adults, adults in fair or poor health, and adults with annual incomes of less than 20,000 dollars. CONCLUSION: Self-reported access to ED care is impeded by prolonged waiting times and by cost and insurance coverage concerns. These access problems are occurring more frequently among groups that face multiple social and economic disadvantages. Hospital operational changes to reduce ED treatment delays and health care financing policies that reduce insurance coverage inequities may both be needed to meet these Healthy People 2010 objectives.

Adolescent↗

Self-medication and health insurance coverage in Mexico.

Self-medication is a common practice in many developing countries but little is known about its determinants. This study analyzes the factors that are associated with the use of self-medication in Mexico using the Mexican Health and Aging Study, a new nationally representative survey on adults aged 50 and over. We find that self-medication is related to socioeconomic status and the lack of access to professional healthcare. Our empirical results suggest that lack of government-sponsored health insurance coverage increases the propensity to self-medicate. A 10% increase in the proportion of adults with health insurance coverage could decrease the use of pharmacy consultations by .8% for public sector workers and by 1.7% for private sector workers. Increasing health insurance coverage could reduce the demand for self-medication by making healthcare more affordable and by changing the population perceptions about the benefits of modern medicine.

Aged↗

The effect of the State Children's Health Insurance Program on health insurance coverage.

This paper presents the first national estimates of the effects of the SCHIP expansions on insurance coverage. Using CPS data on insurance coverage during the years 1996-2000, we estimate instrumental variables regressions of insurance coverage. Our regression results imply that 9% of children meeting income eligibility standards for SCHIP gained public insurance. While low, our estimates indicate that states were more successful in enrolling children in SCHIP than they were with prior Medicaid expansions that were focused on children just above the poverty line. Crowd-out of private health insurance was estimated to be nearly 50%, which is in line with estimates for the Medicaid expansions of the early 1990s. In addition, state anti-crowd-out provisions in the form of waiting periods were found to significantly affect both take-up and crowd-out.

Adolescent↗

Health insurance coverage and the macroeconomy.

This paper investigates the relationship between the macroeconomy and health insurance coverage for non-elderly Americans. We find that, for men, state unemployment rate is positively correlated with the probability of health insurance coverage in general and through an employer in particular, and that these correlations are only partly explained by changes in employment status. In contrast, the insurance coverage of women and children appears to be insulated from fluctuations in the unemployment rate by public health insurance programs like Medicaid and State Children's Health Insurance Program (SCHIP). We estimate that 984,000 Americans, nearly all of whom were adult men, lost health insurance due to macroeconomic conditions alone during the 2001 recession.

Adult↗

Insuring children or insuring families: do parental and sibling coverage lead to improved retention of children in Medicaid and CHIP?

Recent research indicates that 3 million children leave Medicaid or the Children's Health Insurance Program (CHIP) each year and become uninsured, despite continuing eligibility. This paper explores the effect of family coverage on drop-out among children in these two programs, using instrumental variables to address the endogeneity of parental and sibling coverage in Medicaid/CHIP. Using the Current Population Survey March Supplement (1999-2004), I find that having a parent (primarily a mother) or sibling in public insurance is associated with a significantly lower risk of drop-out; after instrumenting with parental and sibling eligibility, only parental coverage remains a significant predictor of retention. I conclude that policy attempts to expand health insurance to the 8.5 million uninsured children in the U.S. would be much more effective if they covered parents and children in the same program.

Adolescent↗

Does insurance coverage decrease the risk for multiple births associated with assisted reproductive technology?

OBJECTIVE: To determine whether insurance coverage for ART is associated with transfer of fewer embryos and decreased risk of multiple births. DESIGN: Retrospective cohort study of a population-based sample of IVF procedures performed in six U.S. states during 1998. SETTING: Three states with mandated insurance coverage (Illinois, Massachusetts, and Rhode Island) and three states without coverage (Indiana, Michigan, and New Jersey). PARTICIPANT(S): Seven thousand, five hundred sixty-one IVF transfer procedures in patients < or = 35 years of age. MAIN OUTCOME MEASURE(S): Number of embryos transferred, multiple-birth rate, triplet or higher order birth rate, and triplet or higher order gestation rate. RESULT(S): A smaller proportion of procedures included transfer of three or more embryos in Massachusetts (64%) and Rhode Island (74%) than in the noninsurance states (82%). The multiple-birth rate in Massachusetts (38%) was less than in the noninsurance states (43%). The insurance states all had protective odds ratios for triplet or higher order births, but only the odds ratio (0.2) for Massachusetts was significant. This decreased risk in Massachusetts resulted from several factors, including a smaller proportion of patients with three or more embryos transferred, lower implantation rates when three or more embryos were transferred, and greater rates of fetal loss among triplet or higher order gestations. CONCLUSION(S): Insurance appears to affect embryo transfer practices. Whether this translates into decreased multiple birth risk is less clear.

Adult↗

Confronting the "gray zones" of technology assessment: evaluating genetic testing services for public insurance coverage in Canada.

We describe an evaluation model to guide public coverage of new predictive genetic tests in Ontario, Canada. The model confronts common "gray zones" in evaluation and coverage policy for challenging new technologies. Analysis addresses three domains of the evaluation picture. The first specifies evaluative criteria (purpose, effectiveness, additional effects, unit cost, demand, cost-effectiveness). The second induces or deduces acceptable cutoffs for each criterion. The third domain addresses the need to make decisions under uncertainty and to respond to "gray" evaluations with conditional-coverage decisions. The evaluation criteria should be applied within sound decision-making processes.

Canada↗

Conceptualising the lack of health insurance coverage.

This paper examines the lack of health insurance coverage in the US as a public policy issue. It first compares the problem of health insurance coverage to the problem of unemployment to show that in terms of the numbers of individuals affected lack of health insurance is a problem comparable in importance to the problem of unemployment. Secondly, the paper discusses the methodology involved in measuring health insurance coverage, and argues that the current method of estimation of the uninsured underestimates the extent that individuals go without health insurance. Third, the paper briefly introduces Amartya Sen's functioning and capabilities framework to suggest a way of representing the extent to which individuals are uninsured. Fourth, the paper sketches a means of operationalizing the Sen representation of the uninsured in terms of the disability-adjusted life year (DALY) measure.

Insurance Coverage↗

Health insurance coverage and the risk of decline in overall health and death among the near elderly, 1992-2002.

BACKGROUND: Although individuals' health insurance coverage changes frequently, previous analyses have not accounted for changes in insurance coverage over time. OBJECTIVE: We sought to determine the independent association between lack of insurance and the risk of a decline in self-reported overall health and death from 1992 to 2002, accounting for changes in self-reported overall health and insurance coverage. METHODS: We analyzed data from the Health and Retirement study, a prospective cohort study of a national sample of community-dwelling adults age 51-61 years old at baseline. Major decline in self-reported overall health and mortality was determined at 2-year intervals. RESULTS: People who were uninsured at baseline had a 35% (95% confidence interval [CI] 12-62%) higher risk-adjusted mortality from 1992 to 2002 compared with those with private insurance. However, when we analyzed outcomes over 2-year intervals, individuals who were uninsured at the start of each interval were more likely to have a major decline in their overall health (pooled adjusted relative risk 1.43, 95% CI 1.28-1.63), but they were equally likely to die (pooled adjusted relative risk 0.96, 95% CI 0.73-1.27). Of the 1512 people who were uninsured at baseline, 220 (14.6%) died; of those who died, only 70 (31.8%) were still uninsured at the HRS interview prior to death. CONCLUSIONS: Death does not appear to be a short-term consequence of being uninsured. Instead, higher long-term mortality among the uninsured results from erosion in this population's health status over time and the attendant higher mortality associated with this. Most deaths among the uninsured occur after individuals have gained either public or private health insurance.

Cohort Studies↗

Emergency room coverage: an evolving crisis.

Historically, a newly graduated plastic surgeon in the United States could build a practice from his or her emergency room coverage. The historical cliche was for the surgeon to be affable, able, and available, and from that basis one's practice would grow. Emergency room exposure was an avenue for starting a practice, developing recognition, and, after that, building a referral pattern. Recently, the cross-shifting influence of management care, rising malpractice insurance costs, and risk ratio are changing this cliche to a crisis. An evaluation of a 2 1/2-year exposure to emergency room coverage has revealed a completely different profile. A total of 300 patient visits resulting in 69 surgical operations were evaluated for insurance and remuneration history. The findings indicated a significant remuneration dilemma for emergency room coverage. Interestingly, a remuneration problem exists in a market different from what one would expect. In this study, a sample from a suburban hospital, rather than an inner-city university hospital, is the greater problem.

Cost Control↗

The contribution of insurance coverage and community resources to reducing racial/ethnic disparities in access to care.

OBJECTIVE: To examine the extent to which health insurance coverage and available safety net resources reduced racial and ethnic disparities in access to care. DATA SOURCES: Nationally representative sample of 11,692 African American, 10,325 Hispanic, and 74,397 white persons. Nonelderly persons with public or private health insurance and those who were uninsured. STUDY DESIGN: Two cross-sectional surveys of households conducted during 1996-1997 and 1998-1999. DATA COLLECTION: Commonly used measures of access to and utilization of medical care were constructed for individuals. These measures include the following. (1) percent reporting unmet medical needs, (2) percent without a regular health care provider, and (3) no visit with a physician in the past year. FINDINGS: More than 6.5 percent of Hispanic and African Americans reported having unmet medical needs compared to less than 5.6 percent of white Americans. Hispanics were least likely to see the same doctor at their usual source of care (59 percent), compared to African Americans (66 percent) and whites (75 percent). Similarly, Hispanics were less likely than either African Americans or whites to have seen a doctor in the last year (65 percent compared to 76 percent or 79 percent). For Hispanics, more than 80 percent of the difference from whites was due to differences in measured characteristics (e.g., insurance coverage, income, and available safety net services). Differences in measured characteristics between African Americans and whites explained less than 80 percent of the access disparities. CONCLUSION: Lack of health insurance was the single most important factor in white-Hispanic differences for all three measures and for two of the white-African American differences. Income differences were the second most important factor, with one exception. Community characteristics generally were much less important, with one exception. The positive effects of insurance coverage in reducing disparities outweigh benefits of increasing physician charity care or access to emergency rooms.

Adult↗

Meeting the need for state-level estimates of health insurance coverage: use of State and Federal survey data.

OBJECTIVE: Critically review estimates of health insurance coverage available from different sources, including the federal government, state survey initiatives, and foundation-sponsored surveys for use in state policy research. STUDY SETTING AND DESIGN: We review the surveys in an attempt to flesh out the current weaknesses of survey data for state policy uses. The main data sources assessed in this analysis are federal government surveys (such as the Current Population Survey's Annual Social and Economic Supplement, and the National Health Interview Survey), foundation-supported surveys (National Survey of America's Families, and the Community Tracking Survey), and state-sponsored surveys. PRINCIPAL FINDINGS: Despite information on estimates of health insurance coverage from six federal surveys, states find the data lacking for state policy purposes. We document the need for state representative data on the uninsured and the recent history of state data collection efforts spurred in part by the Health Resources Services Administration State Planning Grant program. We assess the state estimates of uninsurance from the Current Population Survey and make recommendations for a new consolidated federal survey with better state representative data. CONCLUSIONS: We think there are several options to consider for coordinating a federal and state data collection strategy to inform state and national policy on coverage and access.

Data Collection↗

Toward a more reliable federal survey for tracking health insurance coverage and access.

OBJECTIVE: Examination of the extent to which federal surveys provide the data needed to estimate the coverage/cost impacts of policy alternatives to address the problem of uninsurance. DATA SOURCES/STUDY SETTING: Assessment of the major federal household surveys that regularly provide information on health insurance and access to care based on an examination of each survey instrument and related survey documentation and the methodological literature. STUDY DESIGN: Identification of the data needed to address key policy questions on insurance coverage, assessment of how well existing surveys meet this need, definition of the critical elements of an ideal survey, and examination of the potential for building on existing surveys. DATA COLLECTION/EXTRACTION METHODS: Collection and critical assessment of pertinent survey documentation and methodological studies. PRINCIPAL FINDINGS: While all the federal surveys examined provide valuable information, the information available to guide key policy decisions still has major gaps. Issues include measurement of insurance coverage and critical content gaps, inadequate sample sizes to support precise state and substate estimates, considerable delays between data collection and availability, and concerns about response rates and item nonresponse. Our assessment is that the Current Population Survey (CPS) and the National Health Interview Survey could be most readily modified to address these issues. CONCLUSIONS: The vast resources devoted to health care and the magnitude of the uninsurance problem make it critical that we have a reliable source for tracking health care and coverage at the national and state levels and for major local areas. It is plausible that this could be more cost effectively done by building on existing surveys than by designing and fielding a new one, but further research is needed to make a definitive judgment. At a minimum, the health insurance information collected on the CPS should be revised to address existing measurement problems.

Data Collection↗

Does health insurance coverage of office visits influence colorectal cancer testing?

OBJECTIVE: To assess the effect of differing health insurance coverage of physician office visits on the use of colorectal cancer (CRC) tests among an employed and insured population. METHOD: Cohort study of persons ages 50 to 64 years enrolled in fee-for-service (FFS) or preferred provider organization (PPO) health plans, where FFS plan enrollees bear disproportionate share of office visit coverage, for the period 1995 through 1999. RESULTS: Compared with FFS plans, enrollees in PPO plans were significantly more likely to obtain CRC tests [adjusted relative risk (RR(a)), 1.27; 95% confidence intervals (CI), 1.21-1.24]. The association was more pronounced among hourly individuals (RR(a), 1.43; 95% CI, 1.41-1.45) than among salaried individuals (RR(a), 1.09; 95% CI, 1.05-1.10), consistent with a greater differential in office visit coverage among the hourly group. CONCLUSIONS: Disproportionate cost-sharing seems to have a negative effect on the use of CRC tests most likely by discouraging nonacute care physician office visits.

Cohort Studies↗