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At least 343 records · Page 19Linked to original sources
PubMed2005

Immigration status and health insurance coverage: who gains? Who loses?

OBJECTIVES: We compared health insurance status transitions of nonimmigrants and immigrants. METHODS: We used multivariate survival analysis to examine gaining and losing insurance by citizenship and legal status among adults with the Los Angeles Family and Neighborhood Survey. RESULTS: We found significant differences by citizenship and legal status in health insurance transitions. Undocumented immigrants were less likely to gain and more likely to lose insurance compared with native-born citizens. Legal residents were less likely to gain and were slightly more likely to lose insurance compared with native-born citizens. Naturalized citizens did not differ from native-born citizens. CONCLUSIONS: Previous studies have not examined health insurance transitions by citizenship and legal status. Policies to increase coverage should consider the experiences of different immigrant groups.

Adult↗
PubMed1997

Health insurance coverage at midlife: characteristics, costs, and dynamics.

Recent data from the first two waves of the Health and Retirement Study are analyzed to evaluate prevalence of different types of health insurance, characteristics of different plan types, and change sin coverage as individuals approach retirement age. Although overall rates of coverage are quite high among the middle-aged, the risk of noncoverage is high within many disadvantaged groups, including Hispanics, low-wage earners, and the recently disabled. Sixty percent of individuals with health benefits are enrolled in health maintenance organizations (HMOs) or preferred provider organizations (PPOs). In addition, one-fourth of enrollees in fee-for-service (FFS) plans report restrictions in their access to specialists.

Age Factors↗
PubMed2001

Maternal health insurance coverage as a determinant of obstetrical anesthesia care.

This study measures the association between health insurance and the likelihood of receiving different obstetrical anesthesia protocols among 121,351 singleton live births in upstate New York during 1992. Mothers receiving a cesarean under Medicaid were approximately twice as likely to receive general anesthesia as those with traditional private coverage. Those receiving a cesarean under an HMO were least likely to receive general anesthesia with adjusted odds of 0.73 (confidence interval [CI] = 0.68-0.79), compared to those with traditional private insurance. Those delivering vaginally under Medicaid, HMO, or no coverage had adjusted odds of receiving an epidural of 0.45 (CI = 0.43-0.48), 0.68 (CI = 0.64-0.71), and 0.44 (CI = 0.38-0.52), respectively, compared to those under traditional private insurance. Although there was some differences by race, the strongest determinant of anesthesia remained insurance type. Insurance-mediated disparities in obstetrical anesthesia care are evident in upstate New York and warrant further study nationally.

Adult↗
PubMed1999

A tale of 5 tests. Insurance coverage.

They promise precision in detecting cancer cells, bone breakdown, risk of heart disease, and other maladies. There's just one problem: Many insurers won't pay for these new diagnostic tools, saying they haven't yet proven themselves. "We complain, we write letters," says one doctor, who calls a new Pap test a "quantum leap" from the existing Pap smear. "I'm just a little physician, crying in the woods."

Bone Resorption↗
PubMed2006

Insurance coverage and subsequent utilization of complementary and alternative medicine providers.

BACKGROUND: Since 1996, Washington State law has required that private health insurance cover licensed complementary and alternative medicine (CAM) providers. OBJECTIVE: To evaluate how insured people used CAM providers and what role this played in healthcare utilization and expenditures. STUDY DESIGN: Cross-sectional analysis of insurance enrollees from western Washington in 2002. METHODS: Analysis of insurance demographic data, claims files, benefit information, diagnoses, CAM and conventional provider utilization, and healthcare expenditures for 3 large health insurance companies. RESULTS: Among more than 600,000 enrollees, 13.7% made CAM claims. This included 1.3% of enrollees with claims for acupuncture, 1.6% for naturopathy, 2.4% for massage, and 10.9% for chiropractic. Patients enrolled in preferred provider organizations and point-of-service products were notably more likely to use CAM than those with health maintenance organization coverage. The use of CAM was greater among women and among persons 31 to 50 years of age. The use of chiropractic was more frequent in less populous counties. The CAM provider visits usually focused on musculoskeletal complaints except for naturopathic physicians, who treated a broader array of problems. The median per-visit expenditures were 39.00 dollars for CAM care and 74.40 dollars for conventional outpatient care. The total expenditures per enrollee were 2589 dollars, of which 75 dollars(2.9%) was spent on CAM. CONCLUSIONS: The number of people using CAM insurance benefits was substantial; the effect on insurance expenditures was modest. Because the long-term trajectory of CAM cost under third-party payment is unknown, utilization of these services should be followed.

Adolescent↗
PubMedDate not supplied

Changes in insurance coverage: 1994-2000 and beyond.

The number of uninsured Americans fell in 2000 for the second consecutive year. The reduction has been attributed to the continued expansion of employer-sponsored insurance. However, the increase in employer coverage among adults was offset by declines of other types of coverage. For children, increases in public coverage plus the growth in employer-sponsored insurance led to the reduction in the number of uninsured children. Over the longer period (1994-2000), one of great economic growth, the uninsurance rate was essentially the same at the end as at the beginning. The rate of employer-sponsored insurance increased sharply, so that more people had employer coverage. However, these increases were offset by reductions in other forms of coverage, particularly Medicaid and state-sponsored insurance and private nongroup coverage, so the overall rate of uninsurance did not change.

Adult↗
PubMed1990

Expanding health insurance coverage: who will pay?

Recent discussions on extending health insurance to the more than thirty million uninsured Americans have focused on two strategies: expanding the Medicaid program and mandating that employers sponsor coverage for their employees. This analysis, using a microsimulation model of the U.S. health care financing system, suggests that these two options would result in very different distributions of financial burden. Employer-sponsored coverage is financed in a highly regressive fashion, in contrast to the Medicaid program, which is proportional to income. Furthermore, the burden of paying for health care under Medicaid varies little among generations, whereas the cost of employer-sponsored care is lowest in households headed by persons over sixty-five years old. Low health status populations do not pay disproportionately higher taxes or premiums to finance either the Medicaid program or employer-sponsored coverage. Their incomes, however, are more effectively protected by Medicaid, because it offers more comprehensive benefits.

Costs and Cost Analysis↗
PubMedDate not supplied

Health insurance coverage and mortality among the near-elderly.

Uninsured near-elderly people may be particularly at risk for adverse health outcomes. We compared mortality of a nationally representative cohort of insured and uninsured near-elderly people with stratification by race; income; and the presence of diabetes, hypertension, or heart disease, using propensity-score methods to adjust for numerous characteristics. Lacking health insurance was associated with substantially higher adjusted mortality among adults who were white; had low incomes; or had diabetes, hypertension, or heart disease. Expanding coverage to the near-elderly uninsured may greatly improve health outcomes for these groups.

Cohort Studies↗