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Community income and surgical rates in the Netherlands.

BACKGROUND: The study describes variations in use of surgical procedures by community income in the Netherlands. From the literature it is known that surgical rates have a socioeconomic gradient. Both positive and negative associations of socioeconomic factors of patients (for example, income, education) with surgical rates have been reported. The question raised here is: how do (possible) socioeconomic variations in surgery in the Netherlands compare with variations observed elsewhere? DATA AND METHODS: The data comprised Dutch hospital discharges and population estimates for 1999. Socioeconomic status was indicated by a patient's income and based on the average family income of the postcode area of residence. Poisson regression was used to compute relative incidence (odds ratios) for 10 common surgical procedures. The model included age, gender, degree of urbanisation, and province of residence. RESULTS: The association between surgical rates and community level income is rather weak. For half of the surgical rates the authors observed higher utilisation rates in communities with low income levels, but the differences are small. The range of odds ratios in the lowest income quintile group (compared with the group with the highest income) observed is: 0.87 to 1.18. Men from a low income community received more appendicectomies (1.18), cholecystectomies (1.12), knee replacements (1.06), and prostatectomies (1.14) and less tonsillectomies (0.90). Women from a low income community received more appendicectomies (1.12), caesarean sections (1.18), hip and knee replacements (1.05,1.17), and hysterectomies (1.14). Whereas they received less coronary artery bypass grafts (0.92), cholecystectomies (0.87), and tonsillectomies (0.92). CONCLUSIONS: Compared with findings reported in the international literature, this study indicates that variations in use of surgical procedures by community income in the Netherlands are comparatively small. Because of lack of data the authors could not study the influence of variations in need for surgical care by community income, but as the incidence of conditions requiring surgical interventions generally is higher in lower income groups, it is suspected some degree of underutilisation exists in these groups.

Female↗

Income and health behaviours. Evidence from monitoring surveys among Finnish adults.

STUDY OBJECTIVE: To examine the associations of individual and household income with various health behaviours, before and after adjusting for educational attainment and occupational social class. DESIGN AND SETTING: Data from 19 982 respondents to nationwide health behaviour surveys from 1993 to 1999 (response rate 70%) were linked with socioeconomic information from population registers. MEASUREMENTS: The income measures were total individual income liable to taxation and household's monthly disposable income. Health behaviours included smoking, alcohol use, leisure time physical activity, use of vegetables, use of saturated fat on bread, and being overweight. MAIN RESULTS: In men, smoking and infrequent vegetable use were more common among those with lower individual and household income. However, adjusting for education and occupational class removed most of the differences. Use of saturated fat on bread increased with decreasing individual income, before and after the adjustments. In women, smoking, infrequent vegetable use and being overweight were more common among those with lower income, but the differences by both income measures were largely removed by the adjustments. Women with higher income more often also were high alcohol users and had less physical activity, in particular when income was measured by the respondents' individual income. CONCLUSIONS: Adjusting for education and occupation largely removed income differences in health behaviours, but for some behaviours some independent effect remained. The results suggest that income does not only reflect the available material resources, but works as a general socioeconomic indicator that is associated with health behaviours in much the same way as other socioeconomic indicators.

Adolescent↗

Income dynamics and adult mortality in the United States, 1972 through 1989.

OBJECTIVES: The aim of this study was to examine relationships between income and mortality, focusing on the predictive utility of single-year and multiyear measures of income, the shape of the income gradient in mortality, trends in this gradient over time, the impact of income change on mortality, and the joint effects of income and age, race, and sex on mortality risk. METHODS: Data were taken from the Panel Study of Income Dynamics for the years 1968 through 1989. Fourteen 10-year panels were constructed in which predictors were measured over the first 5 years and vital status over the subsequent 5 years. The panels were pooled and logistic regression was used in the analysis. RESULTS: Income level was a strong predictor of mortality, especially for persons under the age of 65 years. Persistent low income was particularly consequential for mortality. Income instability was also important among middle-income individuals. Single-year and multiyear income measures had comparable predictive power. All effects persisted after adjustment for education and initial health status. CONCLUSIONS: The issues of low income and income instability should be addressed in population health policy.

Black or African American↗

Low income, race, and the use of mammography.

OBJECTIVE: To describe national trends in mammography use by race and income and to test whether higher use of mammography among low-income African American women than low-income white women can be explained by health insurance coverage, usual place of health care, or place of residence. DATA SOURCES/STUDY SETTING: Data from five years of the National Health Interview Survey spanning the period 1987-1994. STUDY DESIGN: Trends in the percentage of women 50-64 years of age with a mammogram within the past two years were analyzed by race and income. Data for 1993-1994 were pooled, and with logistic regression analysis, variation in use of recent mammography for low-income women was investigated. Independent variables are age, race, family income, education, health insurance coverage, place of usual source of health care, metropolitan residence, and geographic region. DATA COLLECTION/EXTRACTION METHODS: The National Health Interview Survey is a cross-sectional national survey conducted by the National Center for Health Statistics. Data are collected through household interviews. [Editor's note: in keeping with HSR policy, the term black is used to conform to its use in the surveys studied. In other references to race, the term African American is used.] PRINCIPAL FINDINGS: Among women 50-64 years of age use of recent mammograms increased rapidly between 1987 and 1991 for all groups of women, and between 1991 and 1994 the increases slowed. However, increases between 1991 and 1994 have been more rapid among low-income black women than among low-income white women. In 1993-1994, low-income black women were about one-third more likely than low-income white women to report mammography within the past two years. This difference could not be explained by health insurance coverage, usual source of health care, metropolitan status, or region of residence. CONCLUSIONS: These results, which provide some evidence of success for screening programs targeted to the poor, raise the question of why low-income black women appear to be to more likely than low-income white women to have benefited from recent efforts to promote mammography. Continued evaluation of mammography programs focused on women who are underserved as well as the monitoring of trends and variations in service use by race and income are needed.

Black or African American↗

Changes in the incomes of age groups, 1984-89.

In terms of changes in the incomes of age groups, the 1984-89 period was very different from the periods that immediately preceded it. This summary focuses on changes for aged family units. During the 1984-89 period, the rate of growth of real median income of aged units was substantially lower than in other subperiods since 1967, the first year for which comparable detailed estimates are available. During the 1984-89 period, the ratio of aged to nonaged median incomes fell for 4 consecutive years, after generally rising since about 1970. The relative medians of almost all detailed aged age groups fell at least slightly from 1984 to 1989, after a period of substantial rises. The increases in income for aged units during 1984-89 were higher for high-income units than for low-income units, producing an increase in inequality. The percentage of aged persons who were poor fell slightly from 1984 to 1989, but that percentage remained above the rates for other adult age groups. A relatively high percentage of aged persons had income that was less than 50 percent above the poverty threshold. The increase in the real mean total income of aged units from 1984 to 1989 was the net result of substantial increases in earnings and pension income and a substantial decrease in property income. In contrast, the much larger increase in real mean total income for aged units from 1979 to 1984 was characterized by a large increase in property income, substantial increases in Social Security benefits and pension income, and a small decrease in earnings.

Adult↗

Money incomes of aged and nonaged family units, 1967-84.

This article provides a detailed examination of changes in the income of the aged and of other age groups from 1967 to 1984. Levels of income, income inequality, the relative importance of selected types of income, and the poverty rates of various age groups are also analyzed. The data are from the Bureau of the Census Current Population Survey and annual money income before taxes is the measure of income. The relative income gains of the aged, compared with the nonaged, in 1967-84 reversed an earlier pattern in the post-World-War-II period: From 1947 to 1967, the incomes of the nonaged rose at a faster pace than those of the aged. Differences in their income growth were greater in 1979-84 than in 1967-79. Despite the substantial difference in the rates of income growth for the aged and nonaged units in 1967-84, the relationship between age and median income was altered only slightly. In 1984, aged family units continued to have relatively low median income, especially compared with the incomes of those in middle age.

Adult↗

The relationship between patient income and physician discussion of health risk behaviors.

CONTEXT: The US Preventive Services Task Force recommends that physicians assess patients' health risk behaviors, addressing those needing modification. OBJECTIVE: To examine the relationship between patient income, health risk behaviors, the prevalence of physician discussion of these behaviors, and the receptiveness of patients to their physicians' advice. DESIGN: Employee survey. PARTICIPANTS: A random sample of 6549 Massachusetts state employees in 12 health plans. MAIN OUTCOME MEASURES: Data were obtained using a patient-completed mail survey. Trend tests were used to discern differences in the prevalence of health risk behaviors, physician discussion of these behaviors, and patient receptiveness to discussions by patient income. RESULTS: Although unhealthy behaviors were common among all income groups, physician discussion of health risk behaviors fell far short of the universal risk assessment recommended by the US Preventive Services Task Force. Low-income patients were more likely to be obese and smoke than high-income patients and were less likely to wear seat belts and exercise. In contrast, stress and alcohol consumption increased with income, while the proportion of heavy drinkers did not vary significantly. Physicians were more likely to discuss diet and exercise with high-income patients in need of these discussions than with low-income patients, but were more likely to discuss smoking with low-income patients who smoked than with high-income patients who smoked. Among patients with whom discussions occurred, low-income patients were much more likely to report attempting to change their behavior based on physician advice. CONCLUSIONS: Physician counseling of patients regarding health risk behaviors should be greatly improved if the US Preventive Services Task Force recommendations are to be fulfilled. Improvement is especially needed in regard to alcohol consumption, safe sex, and seat belt use. Physicians also need to be more vigilant in properly identifying and counseling low-income patients at risk in regard to diet and exercise and high-income patients who smoke.

Adult↗

Income inequality and adult nutritional status: anthropometric evidence from a pre-industrial society in the Bolivian Amazon.

Evidence has been accumulated about the adverse effects of income inequality on individual health in industrial nations, but we know less about its effect in small-scale, pre-industrial rural societies. Income inequality should have modest effects on individual health. First, norms of sharing and reciprocity should reduce the adverse effects of income inequality on individual health. Second, with sharing and reciprocity, personal income will spill over to the rest of the community, attenuating the protective role of individual income on individual health found in industrial nations. We test these ideas with data from Tsimane' Amerindians, a foraging and farming society in the Bolivian Amazon. Subjects included 479 household heads (13+ years of age) from 58 villages. Dependent variables included anthropometric indices of short-run nutritional status (body-mass index (BMI), and age- and sex-standardized z-scores of mid-arm muscle area and skinfolds). Proxies for income included area deforested per person the previous year and earnings per person in the last 2 weeks. Village income inequality was measured with the Gini coefficient. Income inequality did not correlate with anthropometric indices, most likely because of negative indirect effects from the omission of social-capital variables, which would lower the estimated impact of income inequality on health. The link between BMI and income and between skinfolds and income resembled a U and an inverted U; income did not correlate with mid-arm muscle area. The use of an experimental research design might allow for better estimates of how income inequality affects social capital and individual health.

Adolescent↗

Impact of the Medicare modernization act on low-income persons.

BACKGROUND: Low-income Medicare beneficiaries without prescription benefits have high out-of-pocket medication expenses that can discourage adherence to treatment regimens. The Medicare Prescription Drug, Improvement, and Modernization Act (MMA) of 2003 created a temporary drug discount card program and a prescription benefit with low-income provisions to assist with medication expenditures for eligible seniors. OBJECTIVE: To determine the impact of the new drug discount card and prescription benefit on medication expenditures by low-income Medicare recipients who require pharmaceutical company assistance for obtaining medications. DESIGN: Retrospective, nonrandomized evaluation. SETTING: Family practice physicians' office in northern Virginia. PATIENTS: 137 Medicare recipients without prescription coverage who received assistance from pharmaceutical companies for medications. MEASUREMENTS: Patients were stratified into 3 categories according to income, household size, and the federal poverty line (FPL), as defined by the new Medicare act. Participants' long-term oral and inhaled medications, dosages, and instructions for use were obtained. The MMA criteria for low-income provisions were applied for the drug discount program and for the prescription benefit. Medication costs under the new Medicare benefits were compared with those incurred without assistance and with the use of pharmaceutical company programs for the cohort and FPL categories. RESULTS: In all income categories, medication costs were lower after enrollment in all programs than those of patients without assistance. Compared with pharmaceutical company assistance, Medicare drug discount cards resulted in less savings for all income groups. For the prescription benefit, persons with incomes less than 135% of FPL had the greatest benefit because of low-income subsidies. Persons ineligible for low-income subsidies receiving the standard benefit had a smaller reduction in out-of-pocket costs and variable monthly expenditures; they realized a superior savings with pharmaceutical company assistance programs. LIMITATIONS: The generalizability of these findings is limited because the authors used a discount pharmacy to determine drug costs for persons receiving no assistance, could not determine asset criteria for the MMA drug benefit low-income subsidy, and used a selected Medicare population. CONCLUSIONS: In a low-income Medicare population without prescription coverage, pharmaceutical company programs offered considerable savings and were superior to the Medicare drug discount cards. For the Medicare prescription plan, the greatest savings was among those eligible for low-income subsidies. Month-to-month medication costs may vary substantially for persons ineligible for such subsidies, and pharmaceutical company assistance may be a better alternative.

Aged↗

The relationship of income inequality to mortality: does the choice of indicator matter?

Ecologic studies in the U.S. and elsewhere in the world have demonstrated that income inequality is strongly related to mortality and life expectancy: the greater the dispersion of income within a given society, the lower the life expectancy. However, these empirical studies have been criticized on the grounds that the choice of indicator may have influenced positive findings. Using a cross-sectional, ecologic design, we tested the relationships of six different income inequality indicators to total mortality rates in the 50 U.S. states. The following summary measures of income distribution were examined: the Gini coefficient; the decile ratio; the proportions of total income earned by the bottom 50%, 60%, and 70% of households; the Robin Hood Index; the Atkinson Index; and Theil's entropy measure. All were highly correlated with each other (Pearson r > or = 0.94), and all were strongly associated with mortality (Pearson r ranging from 0.50 to 0.66), even after adjustment for median income and poverty. Thus, the choice of income distribution measure does not appear to alter the conclusion that income inequality is linked to higher mortality. Furthermore, adjustment for taxes and transfers, as well as household size (using equivalence scales), made no difference to the income inequality/mortality association. From a policy perspective, the alternative income distribution measures perform differently under varying types of income transfers, so that theoretical considerations should guide the selection of an indicator to assess the impact of social and economic policies that address income inequality.

Cross-Sectional Studies↗

Income and health: what is the nature of the relationship?

The aim of this article is to examine the relationship between income and morbidity, both before and after controlling for other socio-economic variables. We use data from the Health and Lifestyle Survey (first wave), a national sample survey of adults, aged 18 upwards, in England, Wales and Scotland, conducted in 1984-1985. In total, 9003 interviews were achieved. We examine the shape of the relationship between household equivalised income and height, waist-hip ratio, respiratory function (FEV1), malaise, limiting longterm illness. These indices of morbidity, both self-reported and measured, are approximately linearly related to the logarithm of income, in all except very high and low incomes (this means that increasing income is associated with better health, but that there are diminishing returns at higher levels of income). A doubling of income is associated with a similar effect on health, regardless of the point at which this occurs, providing this is within the central portion (10-90%) of the income distribution. The effect of income on the health measures is comparable to that of the other socio-economic variables in combination. The shape of the relationship found between income and health is compatible with worse health in countries with greater income inequality, without the need to postulate any direct effect of income inequality itself.

Adult↗

Inequality in income and mortality in the United States: analysis of mortality and potential pathways.

OBJECTIVE: To examine the relation between health outcomes and the equality with which income is distributed in the United States. DESIGN: The degree of income inequality, defined as the percentage of total household income received by the less well off 50% of households, and changes in income inequality were calculated for the 50 states in 1980 and 1990. These measures were then examined in relation to all cause mortality adjusted for age for each state, age specific deaths, changes in mortalities, and other health outcomes and potential pathways for 1980, 1990, and 1989-91. MAIN OUTCOME MEASURE: Age adjusted mortality from all causes. RESULTS: There was a significant correlation (r = -0.62 [corrected], P < 0.001) between the percentage of total household income received by the less well off 50% in each state and all cause mortality, unaffected by adjustment for state median incomes. Income inequality was also significantly associated with age specific mortalities and rates of low birth weight, homicide, violent crime, work disability, expenditures on medical care and police protection, smoking, and sedentary activity. Rates of unemployment, imprisonment, recipients of income assistance and food stamps, lack of medical insurance, and educational outcomes were also worse as income inequality increased. Income inequality was also associated with mortality trends, and there was a suggestion of an impact of inequality trends on mortality trends. CONCLUSION: Variations between states in the inequality of the distribution of income are significantly associated with variations between states in a large number of health outcomes and social indicators and with mortality trends. These differences parallel relative investments in human and social capital. Economic policies that influence income and wealth inequality may have an important impact on the health of countries.

Adolescent↗

Randomised studies of income supplementation: a lost opportunity to assess health outcomes.

BACKGROUND: Despite the wealth of evidence linking low income to ill health, there is little information from randomised studies on how much and how quickly these risks can be reversed by improvements in income. OBJECTIVE: To conduct a systematic review of randomised studies of income supplementation, with particular reference to health outcomes. DESIGN: Extensive searches of electronic databases and contact with previous authors. As well as searching for trials that were specifically designed to assess the effects of increased income, studies of winners and losers of lotteries were also sought: if winning is purely chance, such studies are, in effect, randomised trials of increased income. RESULTS: Ten relevant studies were identified, all conducted in North America, mostly in the late 1960s and 1970s. Five trials were designed to assess the effects of income supplementation on workforce participation and randomised a total of 10,000 families to 3-5 years of various combinations of minimum income guarantees and reduced tax rates. Two trials were designed to assess re-offending rates in recently released prisoners and randomised a total of 2400 people to 3-6 months of benefits. One trial was designed to assess housing allowances and randomised 3500 families to three years of income supplements. One trial assessed the health effects of 12 months of income supplementation in 54 people with severe mental illness. Finally, one study compared three groups of people who won different amounts of money in a state lottery. In all these studies the interventions resulted in increases in income of at least one fifth. However, no reliable analyses of health outcome data are available. CONCLUSIONS: Extensive opportunities to reliably assess the effects of increases in income on health outcomes have been missed. Such evidence might have increased the consideration of potential health effects during deliberations about policies that have major implications for income, such as taxation rates, benefit policies, and minimum wage levels. Randomised evidence could still be obtained with innovative new studies, such as trials of full benefit uptake or prospective studies of lottery winners in which different sized winnings are paid in monthly installments over many years.

Health Services Research↗

[Association of income with use of and access to health services in Spain at the beginning of the XXI century].

OBJECTIVE: To estimate the association of household income and provincial income with visits to general practitioners and specialists and with hospitalization and to determine whether waiting times to access these services vary with both economic variables. METHOD: Data from the 2001 National Health Survey were used. The association was estimated by sex- and age-adjusted odds ratios; in the case of per capita income, odds ratios were also adjusted for household income. Percentiles and the geometric mean of waiting times in each health service were estimated and the statistical significance of their association with both economic variables was evaluated. RESULTS: Subjects with the lowest household income showed the highest frequency of visits to general practitioners and hospitalization, although they waited longer for hospital admission. Subjects with the lowest household income also showed the lowest frequency of specialist visits: the odds ratio in the lowest income quartile with respect to the highest income quartile was 0.73 (95% CI: 0.62-0.87). However, when only visits to specialists working in the public system were analyzed, the lowest frequency of visits was observed in subjects with the highest household income. No differences were found in health services utilization or in waiting times according to provincial income. CONCLUSIONS: The frequency of specialist visits according to household income shows a different pattern from that observed for visits to general practitioners and hospitalizations. The longest waiting times for admission to hospital were observed in subjects with the lowest household income.

Adolescent↗

Median household income and mortality rate in cystic fibrosis.

CONTEXT: Poverty has been shown to be a determinant of health outcomes in many epidemiologic studies. OBJECTIVE: The goal of this study was to assess the association between household income and the mortality rate in cystic fibrosis (CF) patients. DESIGN, SETTING, AND PATIENTS: We selected white patients diagnosed before 18 years old and having 1 or more records in the Cystic Fibrosis Foundation Patient Registry since 1991. These 23 817 patients were linked to the 1990 US Census by their zip code of residence. The median household income was adjusted for state level differences in cost of living using the 1998 Consumer Price Index. INTERVENTIONS: None. MAIN OUTCOME MEASURES: We examined the association between categories of the median household income and the mortality rate. We examined the association between income categories and age-related changes in pulmonary function and body weight as well as specific nutritional and pulmonary therapies. RESULTS: We found a strong monotonic association between the median household income and the mortality rate. The test of trend was significant, and this effect was maintained after adjustment for a variety of patient and disease characteristics. When the lowest income category (<20 000 dollars) is compared with the highest (> or = 50 000 dollars), the adjusted incidence rates were 90.3 and 62.6 per 10 000 person years, respectively; this represents a 44% increased risk of death in the lowest income category. Patients living in areas with lower median household income also had consistently lower pulmonary function and body weight than did those living in higher income areas. The differences in weight percentiles and forced expiratory volume in 1 second are substantial in magnitude, they appear at an early age, and they persist into adulthood for these CF patients. Prescribed nutritional treatments and screening for CF-related diabetes were significantly higher among patients living in areas with lower median household income. Prescription of deoxyribonuclease and inhaled tobramycin was not significantly associated with median household income. CONCLUSION: There was a strong association between lower household income and increased mortality rate among CF patients. Additional understanding of this effect will require more complete and direct measurement of socioeconomic status and a better understanding of treatment adherence, local environmental conditions, and especially the care of CF patients during the early years of life.

Adolescent↗

The disappearing income gradient in New York City birth outcomes: thirteen years of convergence from 1988 to 2001.

OBJECTIVE: Income has long been identified as a potent determinant of infant mortality, yet little is known about the stability of its influence over time in defined populations. The objective of this study was to characterize trends in the income gradient in infant mortality in New York City from 1988 to 2001. METHODS: An ecological analysis was conducted of infant, neonatal, and postneonatal mortality rates in 30 health districts from 14 years (1988-2001) of birth cohorts of the 5 boroughs of New York City divided by quartile of income based on the 1990 census (N = 1,692721 births). Infant mortality (deaths occurring at <365 days of age), neonatal mortality (deaths occurring at <28 days of age), and postneonatal mortality (deaths occurring from 28 to 364 days of age) expressed as rates per 1000 live births were measured. RESULTS: From 1988 to 2001, infant mortality in the highest income quartile in New York City fell 50.5% from 10.5 to 5.2, whereas in the lowest income quartile, it fell 62.6% from 17.4 to 6.5 per 1000 live births. The equivalent declines in neonatal mortality were 46.6% from 7.3 to 3.9 in the highest income quartile and 61.4% from 11.4 to 4.4 per 1000 live births in the lowest income quartile. For postneonatal mortality, rates fell 58.1% from 3.1 to 1.3 in the highest income quartile and 65% from 6 to 2.1 per 1000 live births in the lowest income quartile. Adjusted for covariates, relative to the highest income quartile, infant, neonatal, and postneonatal morality rates in the lowest income quartile declined 0.36 (95% confidence interval [CI]: -0.52 to -0.19), 0.20 (95% CI: -0.34 to -0.07), and 0.15 (95% CI: -0.23 to -0.07) per 1000 live births more per year. CONCLUSIONS: From 1988 to 2001, New York City witnessed a significant convergence in the income gradients of infant, neonatal, and postneonatal mortality rates. Understanding the origins of this trend should constitute an important public policy priority.

Birth Weight↗

Effects of income on drug choice in humans.

The effects of income (money available to spend during the experimental session) on human choice were examined in a concurrent-schedule arrangement. Subjects were 7 nicotine-dependent smokers, and reinforcers were puffs on the subject's usual brand of cigarette ("own") and puffs on a less preferred brand of cigarette with equal nicotine content ("other"). Across sessions, income varied and the price of the two reinforcers was held constant, with the other puffs one fifth the price of the own puffs. As income increased, consumption of own puffs increased while consumption of the less expensive other puffs decreased. These effects of income on choice were highly consistent across subjects. For some subjects, however, income had little effect on total puff consumption. Finally, an additional condition examined whether price and income manipulations would have functionally equivalent effects on choice by repeating an income condition in which the price of the other brand was increased. Although the increased price of the other puffs decreased their consumption in 4 subjects, 2 subjects showed increased consumption of the other puffs at the higher price. The results, when defined in economic terms, indicate that the own puffs were a normal good (consumption and income are directly related), the other puffs were an inferior good (consumption and income are inversely related), and the direct relationship between consumption of the other puffs and their price is defined as a Giffengood effect. The latter result also suggests that for these 2 subjects, price and income manipulations had equivalent effects on choice. These results extend findings from previous studies that have examined the effects of income on choice responding to human subjects and drug reinforcers, and provide a framework for further experimental tests of the effects of income on human choice behavior. Methodological and theoretical implications for the study of choice and for behavioral pharmacology are discussed.

Adult↗

Eligibility for the Medicare buy-in programs, based on a survey of income and program participation simulation.

Medicare buy-in programs are designed to reduce out-of-pocket expenses of beneficiaries with modest income and assets. This article provides estimates of the size of the Medicare beneficiary population eligible for the Qualified Medicare Beneficiary (QMB) program, the Specified Low-Income Medicare Beneficiary (SLMB) program, and the Qualified Individual-1 (QI-1) program. The buy-in programs use the same resource limits (twice those used in the Supplemental Security Income (SSI) program) but different thresholds for determining income eligibility. The QMB program uses 100 percent of the poverty line as the cutoff, QI-1 covers persons above 120 percent but at or below 135 percent of the poverty line, and the SLMB program is in between. Making informed judgments about the rate of participation in the buy-in programs and the need for outreach requires an accurate estimate of the size of the eligible population. If that population is underestimated, policymakers might come to unduly optimistic conclusions about current buy-in participation. In contrast, an overestimate may make current participation seem too low. If policymakers react to an upwardly biased estimate of the eligible population by increasing outreach, they are bound to be disappointed by the results of that effort. Estimates of the eligible population from past studies of the QMB and SLMB programs range from 5.1 million to 9.1 million. In the absence of new information, it is difficult to judge the accuracy of those estimates because the methodologies had substantial shortcomings that might bias the results. The most common shortcomings include the lack of high-quality, monthly income data and the lack of information on assets from the same data file that was used to estimate participation and income eligibility for Medicare. The current study uses the most recently available (as of August 2000) Survey of Income and Program Participation (SIPP) file that is matched to the Social Security Administration's (SSA's) administrative records. The data file covers 1995 information. Estimates were also obtained using 1991 data to assess the sensitivity of eligibility estimates to the year chosen. The SIPP has several major advantages over other data sources because it contains relevant, high-quality information on both income and assets for establishing financial eligibility for the buy-in programs. First, the SIPP collects detailed and conceptually appropriate information on monthly, rather than annual, income and therefore has more complete information about income than do other surveys. As a result, SIPP-based estimates of poverty are substantially lower than estimates based on the Current Population Survey. Second, the SIPP also collects information on assets at the individual level. Thus, the survey provides enough detail to measure the major income and asset exclusions directly. Finally, the SIPP data are matched to SSA administrative records: Medicare eligibility can therefore be accurately measured, and self-reported data on Social Security and SSI benefits can be replaced with more accurate monthly information. Our 1995 simulation estimates that approximately 4.8 million persons in the U.S. noninstitutionalized population were eligible for the QMB program and an additional 1.6 million for the SLMB program. The total--roughly 6.5 million--is within the range of estimates from past studies but is closer to the lower end, suggesting that the eligible population is smaller than was previously believed. When the estimated QI-1 eligible population of 0.9 million is added, the total for the three buy-in programs is 7.4 million. Because the QI-1 program did not exist in 1995, only the estimated 6.5 million QMBs and SLMBs would actually have been eligible to receive benefits. The 7.4 million figure represents the 1995 Medicare beneficiaries who would be eligible for buy-in under program rules for 2000. Adjusting that number to account for increases in the Medicare population between 1995 and 1999 yields an estimated eligible population of 7.8 million in 1999. Compared with other elderly Medicare recipients, eligible elderly QMBs and SLMBs have poorer health, more functional limitations, and higher rates of health care use. Thus, not only are their income resources relatively limited, but their need for potentially expensive medical care is also greater. Similar differences were not found in health, functional limitations, and health care use among disabled participants in the QMB and SLMB programs. Our estimates imply that about 2.5 million noninstitutionalized individuals were eligible for but not enrolled in the QMB and SLMB programs in 1999. That finding suggests that fewer eligibles may be available for targeting by outreach efforts than was previously believed. Outreach may be more difficult than it would be with a larger eligible population. (ABSTRACT TRUNCATED)

Adolescent↗