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[Access to social coverage of uninsured patients attending a hospital clinic: a historical cohort study at the Baudelaire outpatient clinic in Paris].

BACKGROUND: In France health insurance coverage is universal (see note at the end of the text), nevertheless some people remain uninsured. In this high-risk population, the lack of insurance coverage contributes to the aggravation of health, by reducing access to medical care. In 1992, the Baudelaire consultation was incorporated into the outpatient clinic of Saint-Antoine hospital (Paris, France), to provide the uninsured with the same access as any other patient--but free of charge--to medical care. Social care was also provided in particular by assisting the uninsured in applying for insurance coverage. Our objectives were to quantify the delay in obtaining insurance coverage and to study whether the sociodemographic characteristics of these patients were associated with inequalities in terms of delays. METHODS: All patients attending the consultation for the first time in 1994 were included (n = 623). Because of differences linked to the French social security system, analysis was performed into two groups according to the existence of a prior insurance coverage. Delay in obtaining or recovering insurance coverage was considered as the key variable. The socio-demographic factors linked to the rates of access to insurance coverage were determined using Cox proportional hazards regression models. We also examined the factors linked with the existence of a prior insurance coverage by logistic regression modeling. RESULTS: Within one year 96% of the patients who had had insurance coverage in the past, and 63% of the patients who had not, were insured. No factor, whether nationality, educational level, socio-professional category, family situation, type of housing, made of income was found to be linked with obtaining or recovering insurance coverage. However, nearly all these factors were related with the existence of prior insurance coverage. CONCLUSIONS: Our approach of systematically providing social care allows 70% of uninsured patients to obtain insurance coverage within one year. This approach probably contributes to an improvement by facilitating access to mainstream health care. Moreover, no difference in delay in obtaining insurance coverage was found associated with sociodemographic characteristics.

Adult↗

Changes in access to care, 1977-1996: the role of health insurance.

OBJECTIVE: To describe changes in Americans' access to care over the last 20 years focusing on the uninsured, Hispanic American, and young adult populations, and to analyze the factors underlying these changes with a particular focus on the role of health insurance. DATA SOURCES/STUDY SETTING: Data from the 1977 National Medical Care Expenditure Survey, the 1987 National Medical Expenditure Survey, and the 1996 Medical Expenditure Panel Survey. STUDY DESIGN: Focusing on whether each individual has a usual source of health care, we present descriptive statistics and algebraic decompositions. DATA COLLECTION/EXTRACTION METHODS: We combine data from the household surveys with questions from access to care supplements that were administered each time. PRINCIPAL FINDINGS: Hispanic Americans and young adults age 18-24 are more likely to lack a usual source of care than other Americans; these inequalities increased over the period studied and cannot be explained solely by changes in health insurance coverage. CONCLUSIONS: Although increasing health insurance coverage will likely improve access to care among Hispanics and young adults, our findings suggest that the expansion of insurance coverage will not be sufficient to eliminate current disparities in access to care.

Adolescent↗

Influence of insurance status and vaccine cost on physicians' administration of pneumococcal conjugate vaccine.

OBJECTIVE: In 2000, heptavalent pneumococcal conjugate vaccine (PCV7) was recommended for children younger than 2 years, but its high cost relative to other universally recommended childhood immunizations and variability in insurance coverage for the vaccine raised concerns. We investigated the influence of PCV7 cost and insurance coverage on physician recommendation of PCV7 to their patients and administration of PCV7 in their practices. METHODS: We conducted a mail survey from April to July 2001 of a random sample of 833 pediatricians and 788 family physicians in 24 states with different vaccine financing strategies (Vaccines for Children [VFC]-only; enhanced VFC; universal purchase). Physicians specified the proportion of children in their practice with insurance coverage for PCV7, where they recommend administering PCV7, and whether they have concerns about the cost of PCV7. RESULTS: The response rate was 60%. Overall, 87% of physicians recommend PCV7 for children younger than 2 years (99% pediatricians; 68% family physicians). Among physicians who recommend PCV7, 98% said that they would administer the vaccine in their own practices for children whose insurance covers the vaccine. However, only 56% of physicians who recommend PCV7 reported that all children in their practices had insurance coverage for the vaccine, whereas 24% of physicians reported 86% to 99% of children with coverage and 20% reported <or=85% of children with coverage. Among physicians in the last group with the lowest PCV7 insurance coverage rates in their practices, only 44% said that they would administer the vaccine in their own practices to children without PCV7 coverage, compared with 62% of physicians who provide care to children with higher rates of PCV7 coverage. Physicians in states with VFC-only vaccine financing strategies for PCV7 are less likely to administer PCV7 in their own practices to children without coverage than physicians in states with enhanced VFC and universal purchase strategies (48% vs 64% vs 74%). Almost one third of physicians who recommend PCV7 are concerned about the cost of PCV7; those with cost concerns are more likely to recommend that children without insurance coverage for PCV7 receive the vaccine at a public health clinic rather than in their own practices (45% vs 29%). Physicians with cost concerns are also more likely to say that they now screen children for insurance coverage more than for previously recommended vaccines (52% vs 21% for physicians without cost concerns). CONCLUSIONS: Nationwide, physician adoption of PCV7 recommendations is high, but where physicians recommend that PCV7 be administered differs significantly by children's variable insurance coverage for the vaccine and by state vaccine financing strategies. Physicians' concerns about the cost of PCV7 may foreshadow their responses to future children's vaccines that may be even more expensive.

Age Distribution↗

Counting the uninsured: a comparison of national surveys.

This Issue Brief reviews surveys that provide estimates of the uninsured population in the United States. It includes a discussion of why the estimates from the various surveys differ. It is important to understand the differences in the estimates of the uninsured population. The projected cost of implementing policy proposals depends on the estimates of the number of people affected by the proposals; for instance, the allocation of funding for the State Children's Health Insurance Program (S-CHIP) depends heavily on the available estimates. In addition, the estimated effectiveness of policy proposals to reduce the uninsured population will be accurate only if the correct count is known and the precise make-up of the uninsured population is understood. Currently, seven surveys can be used to make nationally representative estimates of the number of people without health insurance coverage. Some of the surveys collect health insurance information in the context of obtaining general information on health care, while other surveys are focused on other topics such as labor force participation and public assistance program participation. The most widely used survey that collects information on health insurance coverage is the Current Population Survey (CPS), conducted by the Census Bureau. The most recent estimates from the CPS suggests that 44.3 million Americans were uninsured in 1998. Besides the CPS, a number of other surveys collect information on the uninsured population. They include the Survey of Income and Program Participation (SIPP), Behavioral Risk Factor Surveillance System (BRFSS), Community Tracking Study (CTS), Medical Expenditure Panel Survey (MEPS), National Health Interview Survey (NHIS), and the National Survey of America's Families (NSAF). Estimates of the uninsured from these surveys range from 19 million to 44 million and vary depending on the time frame the survey covers. A number of states have started to question the validity of the uninsured estimates from the CPS, and other surveys, because of the small sample size in many states. As a result, some states have begun to conduct their own surveys to determine the number of uninsured residents. States that regularly conduct their own surveys include Florida, Massachusetts, Minnesota, New Mexico, Oregon, Vermont, and Wisconsin. Unfortunately, the various state surveys are not easily comparable. Research needs to continue to increase understanding of the differences among the surveys and to improve on methodologies to count the uninsured, as the future of public programs, such as S-CHIP and other state and local initiatives to expand health insurance coverage, depends on the accuracy of these estimates. Whatever survey is used, the results show that a substantial number of Americans do not have any health insurance coverage, and the number has been growing.

Censuses↗

Expanding care versus expanding coverage: how to improve access to care.

The Bush administration has proposed expanding insurance coverage as well as community health centers (CHCs) to increase access to care for uninsured people. This paper examines the relative effects of insurance coverage and CHC capacity on access to care. Communities that have both high insurance coverage and extensive CHC capacity tend to have the best access, although the former appears more important. Funding of insurance coverage expansions is likely to produce greater gains in access than if an equivalent level of funding were invested in CHCs. Policymakers should consider CHC expansions as complementary to insurance coverage expansions rather than as a substitute.

Community Health Centers↗

The convergence of vulnerable characteristics and health insurance in the US.

This study defines vulnerability as a multi-dimensional construct, reflected in the convergence of predisposing, enabling, and need attributes of risk. Using race, income, and self-perceived health status as indicators and based on eight rounds of the US 1996 panel of the Medical Expenditure Panel Survey, the study examined how the interactions of these vulnerable characteristics affect insurance coverage, a critical measure of health care access. The results of the study demonstrate insurance coverage does vary with the extent of vulnerability. While race and income significantly influence insurance coverage, respectively, there was relatively little disparity in insurance due to health status. Between race and income, income was a more significant predictor of lack of insurance coverage since low-income people regardless of race and health were significantly more likely to be uninsured or partially insured. However, it is important to note that minorities were disproportionately over-represented in the low-income or bad health groups so that any adverse association between income, bad health, and insurance status would affect minorities significantly more than whites. Among those with insurance, the most vulnerable group, the minority-low-income-bad health group or those with all the three vulnerability indicators, were most likely to be publicly insured. A policy implication is to target limited resources on insurance coverage for the more vulnerable groups, those with a convergence or cluster of predisposing, enabling, and need attributes of risk.

Health Services Research↗

SCHIP, Medicaid expansions lead to shifts in children's coverage.

Recent expansions of the State Children's Health Insurance Program (SCHIP) and Medicaid have led to significant shifts in insurance coverage for children. New findings from the Center for Studying Health System Change (HSC) show that the proportion of low-income children who were uninsured dropped from 20.1 percent in 1997 to 16.1 percent in 2001, a result of significant increases in public program coverage. The net effect of these gains in coverage was limited, however, by a decline in private insurance coverage (from 47% in 1997 to 42.3% in 2001). The drop in private insurance was due, in part, to substitution of public for private insurance coverage.

Budgets↗

Payor mix of trauma patients at a rural-metropolitan regional trauma center: a three-year experience.

The development of a statewide trauma system will depend on designation of community hospitals as trauma centers. The financial impact of such designation will be a prime concern. The payor mix of trauma patients will be one of the deciding factors as to whether hospitals will agree to accept designation. A three-year review of payor class on discharge for 2,605 trauma and 55,041 nontrauma admissions to a nonuniversity teaching hospital is presented. Sixty-four percent of all trauma admissions had third-party payor insurance coverage, compared with 72% of all nontrauma admissions (P less than .00001). Twenty-seven percent of trauma admissions were for penetrating injury. Sixty-eight percent of patients admitted for blunt trauma had third-party coverage, while 50% of those admitted for penetrating trauma had third-party coverage. Total commercial insurance coverage was higher for trauma patients than for nontrauma admissions. The payor class mix for trauma patients presented may be representative of similar institutions in a similar geographic setting and may offer assistance to hospitals considering the financial impact of trauma center designation.

Adolescent↗

Determinants of public and private insurance enrollment among Medicaid-eligible children.

BACKGROUND: Many Medicaid-eligible children are not enrolled in Medicaid and are not covered by private insurance. Reducing persistent lack of insurance for children requires a better understanding of why Medicaid-eligible children do not participate. RESEARCH QUESTIONS: Does the availability of free or low-cost medical services substitute for Medicaid or private insurance enrollment among Medicaid-eligible children? Does the availability and affordability of insurance coverage, particularly the offer of employer-sponsored insurance (ESI) and the presence of managed care, affect child insurance coverage? RESEARCH DESIGN: We use data from the National Health Interview Survey for 1994 and 1995, supplemented with county level measures of insurance and provider supply, to estimate a multinomial choice model of insurance coverage among children identified as Medicaid-eligible. We focus on county supply of public hospitals and community/migrant health centers (C/MHC); and the availability and cost of ESI. We control for child and parent characteristics. RESULTS: A positive effect of C/MHC supply is found on Medicaid enrollment, but no evidence is found of substitution between low-cost providers and Medicaid or private coverage. Local availability of ESI and private HMO penetration increased private insurance enrollment. CONCLUSIONS: Local community providers can play an important role in outreach and enrollment for Medicaid. Availability and cost of ESI constrain private coverage for Medicaid-eligible children. Policies that encourage offers of insurance coverage by employers, decrease premiums, and encourage adoption of managed care could have important positive effects on coverage for this population.

Adolescent↗

Third party reimbursement for pharmacist services: why has it been so difficult to obtain and is it really the answer for pharmacy?

OBJECTIVES: To describe three models of how health insurance coverage can develop for health care goods and services and apply them to pharmacist services. Also, to raise readers' awareness of the costs/tradeoffs involved in receiving third party reimbursements of insurance coverage from a health provider perspective. DATA SOURCES: Insurance theory and literature. SUMMARY: The three models for developing health insurance coverage are the risk-pooling model, the demand model, and the cost containment model. The risk-pooling model does not apply to coverage for pharmacist services because the cost of such services is not catastrophic and unpredictable. Applying both the demand model and the cost containment model to developing coverage for pharmacist services presents some challenges, but the demand model has been used more successfully to obtain insurance coverage for other health care goods and services. Potential costs and tradeoffs to the health care provider associated with insurance coverage are higher administrative costs, lower reimbursement rates, and loss of professional autonomy. CONCLUSION: If pharmacists want to increase third party coverage for their services, the best approach may be to increase patient demand for insurance coverage by promoting and charging for pharmacist services. However, pharmacists should seriously consider whether the benefits of such coverage for their services outweigh the costs.

Cost-Benefit Analysis↗

Do medical out-of-pocket expenses thrust families into poverty?

This paper estimates the impact of medical out-of-pocket expenses on families' well-being using the Survey of Income and Program Participation. Medical out-of-pocket expenses include the out-of-pocket costs from medical services and the family's share of health insurance premiums. Demographic characteristics, insurance status, and medical usage of the family are analyzed to determine which characteristics are most likely to impoverish a family. Families impoverished because of medical out-of-pocket expenses are far more likely to have older heads of the family, at least one family member in poor health, or some adults without health insurance. Families without at least one person who worked full time for the entire year were also likely to be impoverished. However, children in the family had little effect on the probability that the family became impoverished. This odd result is probably due to the high correlation between parental health insurance coverage and the health insurance coverage of their children.

Adolescent↗

Does supplemental private insurance affect care of Medicare recipients hospitalized for myocardial infarction?

OBJECTIVES: We sought to determine whether supplemental private insurance coverage among Medicare recipients alters patterns of health care or outcomes associated with acute myocardial infarction. METHODS: Medicare patients hospitalized after a myocardial infarction were identified from New York City hospitalization records. Patients who had only Medicare coverage were compared with those who had supplemental private or public insurance coverage. RESULTS: Patients with supplemental private insurance exhibited increased rates of revascularization and decreased rates of in-hospital mortality relative to patients with either Medicare only or Medicare and public insurance. Moreover, Blacks and women were less likely to undergo revascularization and exhibited higher in-hospital mortality rates. CONCLUSIONS: Despite Medicare, private insurance coverage appears to influence the likelihood of coronary revascularization among older patients hospitalized for acute myocardial infarction.

Aged↗

Access to care and utilization among children: estimating the effects of public and private coverage.

OBJECTIVES: We examine the relationship between health insurance coverage and children's access to and utilization of medical care. Access measures we study are having a usual source of care (USC) and lacking a USC for financial or insurance reasons. We also examine indicators for ambulatory visits, well-child visits, dental visits, emergency room use, and inpatient hospital stays. METHODS: We pool data from the first 7 years of the Medical Expenditure Panel Survey (MEPS), 1996 to 2002. Pooling yields a large sample of children, enabling us to analyze access and utilization using simple descriptive statistics, multivariate analysis, and instrumental variables estimation (IV). IV estimation is of particular interest given the possibility of bias caused by confounding factors (such as child health or parent attitudes) and measurement error in insurance coverage. We also compare estimates from IV linear probability models to estimates from IV probit with residual inclusion. RESULTS: As previous studies have found, public and private coverage are both associated with large increases in access and utilization. Simple mean comparisons suggest that private coverage has a larger effect than does public coverage. Differences between public and private coverage are reduced (and often reversed) when we control for other characteristics of children and their families. IV coverage effect estimates from both linear probability and residual inclusion probit models are substantially greater than conventional estimates across a wide range of access and utilization measures. CONCLUSIONS: Despite concerns that conventional estimates overstate the impact of coverage on access and use, our results suggest that the reverse may be true. One explanation may be that conventional estimates are biased toward zero due to error in the reporting of insurance coverage. The magnitude of the coverage effects we find highlights the importance of reducing uninsurance among children.

Aid to Families with Dependent Children↗

Maternal determinants of pediatric preventive care utilization among blacks and whites.

OBJECTIVE: We assessed maternal characteristics that were predictive of preventive care utilization among children 0-5 years and compared black-white differences in preventive care usage. METHOD: We used the 1996-2000 series of public use files from the Medical Expenditure Panel Survey (MEPS). Receipt of preventive care was defined as up-to-date immunization coverage of the child and at least one dental visit during the year. RESULTS: A total of 10,525 children were analyzed consisting of 2,090 blacks (19.9%) and 8,435 whites (80.1%). Black mothers were in general older and less educated. Black households were larger in size and contained a greater number of children. Black mothers earned, on average, much less than their white counterparts even though they tended to be more frequently employed than whites. Despite similar levels of insurance coverage for both racial groups, the overwhelming majority of white mothers were privately insured (73.2%), in contrast to only about half of blacks with private insurance coverage [54.3% (p < 0.0001)]. Overall, the level of pediatric preventive services utilization was a paltry 15.4%. Children of black mothers were significantly less likely to receive preventive care than whites (OR = 0.78; 95% CI = 0.64-0.94). Other determinants of preventive care use were maternal age, insurance coverage, education and family size. Older, educated mothers with insurance coverage and reduced family size were more likely to have their children immunized and have dental visits. CONCLUSION: Maternal characteristics are important markers that indicate the risk for underutilization of pediatric preventive care. A particularly important finding with policy implication is the observation that maternal insurance coverage enhances pediatric preventive care use. Health policy planners may consider parallel insurance coverage of both the child and the mother in order to enhance receipt of preventive health services by the child.

Adult↗

Korean American health insurance and health services utilization.

The purpose of this ethnic group study was to describe the unique pattern of Korean Americans, as compared with the aggregate of Asian Americans, for: (a) the predisposing, enabling, and need factors for health service utilization, focusing specifically on the role of health insurance coverage; and (b) predictors of health insurance coverage. Using the behavioral model for health service utilization, data were selected from the 1992 National Health Insurance Survey (NHIS, 1994) for Korean Americans (n = 345) and Asian Americans (n = 3,059). Results differed between the Korean American group and the Asian American group. Health insurance coverage was the strongest predictor of Korean American utilization, and need factors lacked significance, suggesting that uninsured Korean Americans have less access regardless of need. For the aggregate Asian American group, need factors tempered the influence of health insurance on utilization. Results of this type of study may be helpful for designing and implementing health care services tailored for specific ethnic at-risk markets.

Adolescent↗

Insurance gaps among vulnerable children in the United States, 1999-2001.

OBJECTIVE: To quantify the number of children who experience gaps in insurance coverage and to determine whether vulnerable subgroups of children experience noteworthy lapses in insurance coverage. METHODS: We analyzed nationally representative data from 24,149 children sampled in the 1999-2001 Medical Expenditure Panel Survey linked to the 1997-1999 National Health Interview Survey. Vulnerable subgroups of children included children with chronic conditions, those from ethnic/racial minorities, and those living in poverty. On the basis of cumulative annual monthly insurance coverage status, each child fell into 1 of 3 groups: continuous coverage, uninsured, or gaps in coverage. Using SAS-callable SUDAAN, we conducted multivariate ordinal logistic regression model to quantify the likelihood of having gaps in coverage for vulnerable subgroups of children. RESULTS: From 1999 to 2001, we found that >9 million American children annually had gaps in coverage and that 5 to 6 million children annually were uninsured for the entire year. Sixty percent of children experienced gaps of at least 4 months, and >40% of all publicly and privately insured children had coverage gaps. After accounting for relevant covariates, children with chronic conditions were just as likely as other children to have gaps in coverage or be uninsured; Hispanic children were most likely to have insurance gaps or be uninsured; and children from poor and near-poor families were 4 to 5 times more likely to have lapsed coverage than children from high-income families. Poverty and maternal education were the strongest factors associated with lapsed coverage. CONCLUSIONS: Unstable health insurance is an underrecognized problem for children, including those with chronic conditions. Because unstable insurance coverage can lead to inadequate health care utilization and poor child health outcomes, strategies to promote stable insurance coverage merit serious consideration.

Child↗

Summary health statistics for the U.S. population: National Health Interview Survey, 1997.

OBJECTIVES: This report presents health statistics from the 1997 National Health Interview Survey for the civilian noninstitutionalized population of the United States, classified by age, gender, race and Hispanic origin, poverty status, income, education, place of residence, region of residence, and, where appropriate, health insurance coverage. The topics covered are health status and limitations of activity, injuries and poisonings, health care access and utilization, and health insurance coverage. SOURCE OF DATA: The NHIS is a multistage probability sample survey conducted annually by interviewers of the U.S. Census Bureau for the National Center for Health Statistics, Centers for Disease Control and Prevention, and is representative of the civilian noninstitutionalized U.S. population. Data are collected during face-to-face interviews with adults present at the time of interview. Information about children and absent adults is obtained from an adult proxy respondent. HIGHLIGHTS: Nearly 40% of Americans reported having excellent health in 1997, while almost 10% reported having either fair or poor health. Regarding health insurance coverage, 16% of the U.S. population did not have any health insurance coverage in 1997. Nineteen percent of non-Hispanic black persons and 33% of Hispanics were uninsured in 1997 as opposed to 12% of non-Hispanic white persons. Further, 45% of poor Hispanics and 43% of near poor Hispanics under age 65 years were uninsured, while among persons ages 65 years and over, 7% of poor Hispanics were uninsured. Lastly, 78% of non-Hispanic white persons under age 65 years had private health insurance coverage as opposed to 55% non-Hispanic black persons and 46% of Hispanics in this same age category.

Activities of Daily Living↗