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Income-based drug benefit policy: impact on receipt of inhaled corticosteroid prescriptions by Manitoba children with asthma.

BACKGROUND: Drug benefit policies are an important determinant of a population's use of prescription drugs. This study was undertaken to determine whether a change in a provincial drug benefit policy, from a fixed deductible and copayment system to an income-based deductible system, resulted in changes in receipt of prescriptions for inhaled corticosteroids by Manitoba children with asthma. METHODS: Using Manitoba's health care administrative databases, we identified a population-based cohort of 10,703 school-aged children who met our case definition for asthma treatment before and after the province's drug benefit policy was changed in April 1996. The effects of the program change on the probability of receiving a prescription for an inhaled corticosteroid and on the mean number of inhaled corticosteroid doses dispensed were compared between a group of children insured under other drug programs (the comparison group) and 2 groups of children insured under the deductible program: those living in low-income neighbourhoods and those living in higher-income neighbourhoods. All analyses were adjusted for a measure of asthma severity. RESULTS: For higher-income children with severe asthma who were covered by the deductible program, the probability of receiving an inhaled corticosteroid prescription and the mean annual number of inhaled corticosteroid doses declined after the change to the drug policy. A trend toward a decrease in receipt of prescriptions was also observed for low-income children, but receipt of prescriptions was unaltered in the comparison group. Before the policy change, among children with severe asthma, the mean annual number of inhaled corticosteroid doses was lowest for low-income children, and this pattern persisted after the change. Among children with mild to moderate asthma, those covered by the deductible program (both low income and higher income) were less likely to receive prescriptions for inhaled corticosteroids than those in the comparison group, and this difference was statistically significant for the higher-income children. INTERPRETATION: The change to an income-based drug benefit policy was associated with a decrease in the use of inhaled corticosteroids by higher-income children with severe asthma and did not improve use of these drugs by low-income children.

Administration, Inhalation↗

[Income inequality and self rated health: an analysis from a contextual perspective in Chile].

BACKGROUND: The correlation between income inequality and life expectancy was demonstrated 10 years ago, but later, several studies suggested that the negative impact of a low economic income on the health status was disappearing. AIM: To assess the independent effects of community income inequality on self rated health in Chile. MATERIAL AND METHODS: Multilevel analysis of the 2000 National Socio Economic Characterization Survey (CASEN) data from Chile. Individual level information included self rated health, age, sex, ethnicity, marital status, education, income, type of health insurance and residential setting (urban/rural). Community level variables included the Gini coefficient and median income. The main outcome measure was dichotomized self rated health (0 if excellent, very good or good; 1 if fair or poor). RESULTS: 101,374 individuals (at level 1) aged 18 and above, nested within 285 communities (at level 2) and 13 regions (at level 3) were studied. Controlling for a range of individual level predictors, a significant gradient was observed between income and poor self rated health, with very poor most likely to report poor health (10.5%) followed by poor (9.5%) low (9%) middle (7%), high (6%) and very high (4.5%) income earners. Controlling for individual and community effects of income, a significant non linear effect of community income inequality was observed, with the most unequal communities being associated with approximately 5% higher likelihood of reporting poor health compared to the most equal communities. CONCLUSIONS: Individual income does not explain any of the between community differences and neither does it wash the significant effects of income inequality on poor self rated health. The contextual effect of inequality is almost as large as the differential observed in poor health comparing the very poor to the very rich individual income categories.

Adolescent↗

Relation between income, air pollution and mortality: a cohort study.

BACKGROUND: Community levels of air pollution have been associated with variability in mortality rates, but previous studies have inferred exposure to pollutants on a citywide basis. We investigated mortality in relation to neighbourhood levels of income and air pollution in an urban area. METHODS: We identified 5228 people in the Hamilton-Burlington area of southern Ontario who had been referred for pulmonary function testing between 1985 and 1999. Nonaccidental deaths that occurred in this group between 1992 and 1999 were ascertained from the Ontario Mortality Registry. Mean household income was estimated by linking the subjects' postal codes with the 1996 census. Mean neighbourhood levels of total suspended particulates and sulfur dioxide were estimated by interpolation from data from a network of sampling stations. We used proportional hazards regression models to compute mortality risk in relation to income and pollutant levels, while adjusting for pulmonary function, body mass index and diagnoses of chronic disease. Household incomes and pollutant levels were each divided into 2 risk categories (low and high) at the median. RESULTS: Mean pollutant levels tended to be higher in lower-income neighbourhoods. Both income and pollutant levels were associated with mortality differences. Compared with people in the most favourable category (higher incomes and lower particulate levels), those with all other income-particulate combinations had a higher risk of death from nonaccidental causes (lower incomes and higher particulate levels: relative risk [RR] 2.62, 95% confidence interval [CI] 1.67-4.13; lower incomes and lower particulate levels: RR 1.82, 95% CI 1.30-2.55; higher incomes and higher particulate levels: RR 1.33, 95% CI 1.12-1.57). Similar results were observed for sulfur dioxide. The relative risk was lower at older ages. INTERPRETATION: Mortality rates varied by neighbourhood of residence in this cohort of people whose lung function was tested. Two of the broader determinants of health--income and air pollution levels--were important correlates of mortality in this population.

Aged↗

Income of new retired workers by social security benefit levels: findings from the New Beneficiary Survey.

This article, based on New Beneficiary Survey (NBS) data, examines the sources and amounts of income available to newly retired workers by the level of their primary insurance amount (PIA). For this analysis, the PIA distribution was divided into quartiles. Retired workers with high PIA's were found to be more likely to have private pensions or asset income and thus to have the highest total income. When a spouse's income is taken into account, married retired workers at all PIA levels have higher total income than do the unmarried retirees. The difference between the income of married and unmarried retirees is greatest for those with PIA's in the lowest quartile, where the median total income of the married retirees is roughly three times as high as that of the unmarried group. New retirees with PIA's in the lowest quartile were a mixed group: Many had additional important sources of income; others did not and had income that was quite low. About 21 percent of those with PIA's in the lowest quartile had pensions and their median total income was about $19,100. An additional 55 percent were married women without pensions of their own who, together with their husbands, had a median total income of $15,900. The remaining 24 percent were married men and unmarried retirees without a pension and with much lower median income--$7,100 for the married men and their wives, and $5,000 for the unmarried men and women.

Aged↗

Evaluation of a subsidy program to increase bicycle helmet use by children of low-income families.

OBJECTIVE: We have previously shown that an educational program was not effective in increasing bicycle helmet use in children of low-income families. The objective of this study was to evaluate a combined educational and helmet subsidy program in the same population, while controlling for secular trends. The secondary objective was to complete a third year of surveying children's bicycle helmet use throughout the study community. DESIGN: A prospective, controlled, before-and-after study. SUBJECTS: Bicycling children 5 to 14 years of age from areas of low average family income. SETTING: A defined geographic community within a large urban Canadian city. INTERVENTION: In April 1992, students in three schools located in the area of lowest average family income were offered $10 helmets and an educational program; three other low-income areas served as control areas. MAIN OUTCOME MEASURE: Helmet use was determined by direct observation of more than 1800 bicycling children. RESULTS: Nine hundred ten helmets were sold to a school population of 1415 (64%). Reported helmet ownership increased from 10% to 47%. However, observed helmet use in the low-income intervention area was no different from the rate in the three low-income control areas (18% versus 19%). There was no difference in the trend in helmet use during the period of 1990 through 1992 in the intervention area (4% to 18%) compared with the control areas (3% to 19%). Helmet use rates from all income areas have increased from 3.4% in 1990, to 16% in 1991, to 28% in 1992. In 1992, helmet use in the high-income areas was 48% and in the low-income areas was 20%. CONCLUSIONS: There has been a trend toward increasing helmet use in all income areas during the 3-year period. Despite encouraging helmet sales and increases in reported helmet ownership, the results of the observational study do not support the efficacy of a helmet subsidy program in increasing helmet use in children residing in areas of low average family income. Strategies to increase helmet use in children of low average family income remain a priority.

Adolescent↗

The shape of the relationship between income and mortality in the United States. Evidence from the National Longitudinal Mortality Study.

A follow-up study based on a large national sample was used to examine differences in the well-established inverse gradient between income and mortality at different income levels. The study showed the income-mortality gradient to be much smaller at high income levels than at low to moderate income levels in the working age (25 to 64 years) and elderly (over 65 years) populations for men and women both before and after adjustment for other socioeconomic variables. In addition, a much larger gradient existed for working age women at extreme poverty levels than for those women at low to moderate income levels. The income-mortality gradient was much smaller in the elderly than in the working age population. The study also examined the ability of several different mathematic functions of income to delineate the relationship between income and mortality. The study suggested that the health benefits associated with increased income diminish as income increases.

Adult↗

Exploring the generalisability of the association between income inequality and self-assessed health.

A growing between- and within-country literature suggests that the association between income inequality and health reflects individual- or area-level characteristics with which income inequality is associated, rather than the effects of income inequality per se. These studies also suggest that the association between income inequality and health is country-specific. Unresolved methodological issues include the geographical level at which to model the effects of income inequality, and the appropriate statistical methods to use. This study compares the results of single-level and multi-level logistic regression models estimating the association between income inequality and self-assessed health in local authorities in Scotland. The results suggest that there is a significant positive association between income inequality and health across local authorities in Scotland, even after adjusting for individual-level socio-economic status. They also suggest that there is significant local authority-level variation in self-assessed health, but this is small compared to the variation at the individual level. Income and other measures of individuals' socio-economic status are more strongly associated with self-assessed health than income inequality. This study provides further evidence that the income inequality:health association is place-specific. It also suggests that methodological choices regarding the ways of estimating the association between self-assessed health, individual-level socio-economic status and area-level income inequality may not make a substantive difference to the results when contextual effects are small. Further work is required to test the sensitivity of these conclusions to alternative levels of geographical aggregation.

Adolescent↗

Income-related differences in the use of evidence-based therapies in older persons with diabetes mellitus in for-profit managed care.

OBJECTIVES: To determine whether income influences evidence-based medication use by older persons with diabetes mellitus in managed care who have the same prescription drug benefit. DESIGN: Observational cohort design with telephone interviews and clinical examinations. SETTING: Managed care provider groups that contract with one large network-model health plan in Los Angeles County. PARTICIPANTS: A random sample of community-dwelling Medicare beneficiaries with diabetes mellitus aged 65 and older covered by the same pharmacy benefit. MEASUREMENTS: Patients reported their sociodemographic and clinical characteristics. Annual household income (> or =$20,000 or <$20,000) was the primary predictor. The outcome variable was use of evidence-based therapies determined by a review of all current medications brought to the clinical examination. The medications studied included use of any cholesterol-lowering medications, use of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (statins) for cholesterol lowering, aspirin for primary and secondary prevention of cardiovascular disease, and angiotensin-converting enzyme (ACE) inhibitors in those with diabetic nephropathy. The influence of income on evidence-based medication use was adjusted for other patient characteristics. RESULTS: The cohort consisted of 301 persons with diabetes mellitus, of whom 53% had annual household income under $20,000. In unadjusted analyses, there were lower rates of use of all evidence-based therapies and lower rates of statin use for persons with annual income under $20,000 than for higher-income persons. In multivariate models, statin use was observed in 57% of higher-income versus 30% of lower-income respondents with a history of hyperlipidemia (P =.01) and 66% of higher-income versus 29% of lower-income respondents with a history of myocardial infarction (P =.03). There were no differences by income in the rates of aspirin or ACE inhibitor use. CONCLUSION: Among these Medicare managed care beneficiaries with diabetes mellitus, all of whom had the same pharmacy benefit, there were low rates of use of evidence-based therapies overall and substantially lower use of statins by poorer persons.

Aged↗

Effects of increasing income on polydrug use: a comparison of heroin, cocaine and alcohol abusers.

AIMS: To assess how income affects hypothetical drug and non-drug purchasing decisions. PARTICIPANTS AND SETTING: Ninety-four subjects (26 heroin abusers, 28 cocaine abusers, 15 alcohol abusers and 25 non-drug using controls) were recruited from advertisements. INTERVENTION: Subjects were exposed to six conditions in which they "purchased" drugs as well as food, housing, and entertainment as income rose from $30 to $560 per day. FINDINGS: Heroin abusers selected significantly more hypothetical heroin and cocaine as income rose and demand for these two drugs was income elastic, with purchases rising in greater proportion than income. Cocaine abusers significantly increased purchases of, and showed income elastic demand for, cocaine and alcohol. Among alcohol abusers, significant increases in purchases and income elastic demand were found for alcohol and cigarettes, but not for other drugs. Across all four groups, demand for rent and food were income inelastic, such that purchases did not rise in proportion to the changes in income, while demand for entertainment was income elastic. Hypothetical choices were reliable between and within subjects, and drug choices were correlated with urinalysis results and life-time years of drug use. CONCLUSIONS: Income is an important variable in understanding choices for drug and non-drug commodities across a variety of substance-abusing populations.

Adult↗

[Income reduction due to sickness benefits--when does sickness make you poor?].

PURPOSE: When absent from work due to sickness, most employees in Germany receive continued pay from their employer for six weeks. After this period, sick employees receive sickness benefits from their Statutory Sickness Fund. These sickness benefits are calculated in a rather complicated way as a percentage of gross and net salary. The paper focuses on two questions that have rarely been studied: which income groups show a particularly large difference between net salary and net sickness benefits? Which income groups move below the poverty line after receiving sickness benefits? METHODS: We calculated how much sickness benefit is actually paid to the insured, for different income and tax groups. The definition for the poverty line is outlined as well. Due to methodological difficulties, the comparison between sickness benefits and poverty must be confined to single-person households. RESULTS: In the income groups chosen here (gross salary up to 4000 Euro per month), net sickness benefits amount to about 77 % of net salary, for all insured. Financial problems can mainly be expected for the lower and the upper income groups. Expressed in absolute terms, the upper income groups experience a large reduction in net income. The lower income groups come close to the poverty line or fall below it. CONCLUSIONS: Sickness benefits provide income in case of sickness; this is an important achievement of social policy. However, we should study the financial burden which sickness benefits could have for the insured. More in-depth analyses would require data that are not yet available (e. g. on the number of insured per income group and the income of other household members). The analyses presented here already show that sickness benefits could lead to severe financial problems for at least some insured. They point to the need for more studies in this neglected field.

Cost of Illness↗

Income and risk of ischaemic heart disease in men and women in a Nordic welfare country.

BACKGROUND: The inverse relation between ischaemic heart disease (IHD) and income is well known among men, but it remains to be clarified whether the relationship between social gradient and IHD is similar for men and women. The present study explores the associations between income and IHD in men and women in a Nordic country. METHODS: We used data from two prospective population studies conducted in Copenhagen. A total of 22 782 subjects, 54% women, with initial examination between 1964 and 1992 were followed until 1996 for hospital admission or death from IHD. We performed survival analyses, taking traditional cardiovascular risk factors into account, and estimated IHD-free life expectancy by household income in men and women. RESULTS: During follow-up, 1803 men and 1258 women experienced an event of IHD (21% fatal). The hazards by deciles of income showed a non-linear graded inverse effect of income, with a large group of middle-income in which income was not associated with risk of IHD. The hazard ratio for highest versus lowest deciles was 0.53 (95% CI: 0.44-0.65). The association was attenuated by adjustment for risk factors, but remained statistically significant. The associations were similar for both sexes. Median IHD-free life expectancy for low-income versus high-income groups was reduced by 9.4 and 7.0 years in men and women, respectively. CONCLUSIONS: The effect of household income on risk of IHD was graded and similar for men and women. The difference between high and low income, regarding IHD-free life expectancy, was considerable.

Adult↗

Income inequality and ischaemic heart disease in Danish men and women.

BACKGROUND: It has been hypothesized that areas with an unequal income distribution are less likely to invest in health and more likely to have a social environment that influences the development of ischaemic heart disease (IHD) METHODS: We used pooled data from two cohort studies conducted in Copenhagen to analyse the association between area income inequality and first admission to hospital or death from IHD in women and men while controlling for individual income and other IHD risk factors. A total of 11 685 women and 10 036 men, with initial health examinations between 1964 and 1992, were followed for a median of 13.8 years. Information on median income share at parish and municipality levels was obtained from population registers. RESULTS: During follow-up 1700 men and 1204 women experienced an IHD event. At parish level income share was inversely associated with an increased risk of IHD in men (hazard ratio [HR](most versus least equal quartile) = 0.85 (95% CI: 0.73-0.98). Among women there was no relation between parish income inequality and IHD. Subject's household income was inversely related to IHD, and when this variable was controlled for, the association between income inequality at parish level and IHD in men attenuated slightly. When behavioural and biological risk factors were entered into the Cox model this relation attenuated further. However, some of these risk factors might mediate rather than confound the effect of income inequality. The association between income inequality at municipality level and IHD was insignificant for men, while in women the relation had a curved shape with those living in the least equal areas having the lowest risk. CONCLUSIONS: This study provides no clear evidence for an association between income inequality measured at parish or municipality level and IHD in Danish adults. The associations were weak and varied between different strata and geographical levels.

Adult↗

The shape of the relationship between income and self-assessed health: an international study.

BACKGROUND: The relationship between income and health is usually thought to be curvilinear, but previous studies have yielded inconsistent results. We therefore examined the shape of the relationship between household equivalent income and self-assessed health in seven European countries. METHODS: Data were obtained from nationally representative health, level of living, or similar surveys in Belgium, Denmark, England, Finland, France, The Netherlands, and Norway and applied to men and women aged 25 years and older in the 1990s. Smooth nonparametric curves were fitted to the data, as well as a spline regression function with three linear pieces connected by two knots. RESULTS: A higher household equivalent income is associated with better self-assessed health among men and women in all countries, particularly in the middle-income range. In the higher income ranges, the relationship is generally curvilinear and characterized by less improvement in self-assessed health per unit of rising income. In the lowest income ranges, the relationship is found to be curvilinear in four countries (Belgium, Finland, The Netherlands, and Norway), where the usual deterioration of health associated with lower incomes levels off or even reverses into an improvement. CONCLUSIONS: Further research is necessary to investigate the background of differences between countries in the shape of the relationship between income and self-assessed health, and should focus on both methodological and substantive explanations. Assuming causality, the results of our study lend some support to the notion of decreasing marginal health returns of a unit increase in income at the higher income ranges.

Adult↗

Metropolitan income inequality and working-age mortality: a cross-sectional analysis using comparable data from five countries.

The relationship between income inequality and mortality has come into question as of late from many within-country studies. This article examines the relationship between income inequality and working-age mortality for metropolitan areas (MAs) in Australia, Canada, Great Britain, Sweden, and the United States to provide a fuller understanding of national contexts that produce associations between inequality and mortality. An ecological cross-sectional analysis of income inequality (as measured by median share of income) and working-age (25-64) mortality by using census and vital statistics data for 528 MAs (population >50,000) from five countries in 1990-1991 was used. When data from all countries were pooled, there was a significant relationship between income inequality and mortality in the 528 MAs studied. A hypothetical increase in the share of income to the poorest half of households of 1% was associated with a decline in working-age mortality of over 21 deaths per 100,000. Within each country, however, a significant relationship between inequality and mortality was evident only for MAs in the United States and Great Britain. These two countries had the highest average levels of income inequality and the largest populations of the five countries studied. Although a strong ecological association was found between income inequality and mortality across the 528 MAs, an association between income inequality and mortality was evident only in within-country analyses for the two most unequal countries: the United States and Great Britain. The absence of an effect of metropolitan-scale income inequality on mortality in the more egalitarian countries of Canada, Australia, and Sweden is suggestive of national-scale policies in these countries that buffer hypothetical effects of income inequality as a determinant of population health in industrialized economies.

Adult↗

Poverty or income inequality as predictor of mortality: longitudinal cohort study.

OBJECTIVE: To determine the effect of inequality in income between communities independent of household income on individual all cause mortality in the United States. DESIGN: Longitudinal cohort study. SUBJECTS: A nationally representative sample of 14,407 people aged 25-74 years in the United States from the first national health and nutrition examination survey. SETTING: Subjects were followed from initial interview in 1971-5 until 1987. Complete follow up information was available for 92.2% of the sample. MAIN OUTCOME MEASURES: Relation between both household income and income inequality in community of residence and individual all cause mortality at follow up was examined with Cox proportional hazards survival analysis. RESULTS: Community income inequality showed a significant association with subsequent community mortality, and with individual mortality after adjustment for age, sex, and mean income in the community of residence. After adjustment for individual household income, however, the association with mortality was lost. CONCLUSIONS: In this nationally representative American sample, family income, but not community income inequality, independently predicts mortality. Previously reported ecological associations between income inequality and mortality may reflect confounding between individual family income and mortality.

Adult↗

A higher prevalence of health problems in low income groups: does it reflect relative deprivation?

STUDY OBJECTIVE: Although it has frequently been suggested that income affects health, there is hardly any research in which this issue has been explored directly. The aim of this study was, firstly, to examine whether income is independently associated with health, secondly, to assess the extent to which this association reflects high levels of deprivation in low income groups, and thirdly, to examine which specific components of deprivation contribute most to the link between income and health. Health indicators used were the prevalence of chronic conditions, health complaints and less than "good" perceived general health. SETTING: Region in the south east of the Netherlands. PARTICIPANTS: A population of 2567 men and women who participated in an oral interview, aged 15-74. DESIGN: Data were obtained from the baseline of a prospective cohort study aimed at the explanation of socioeconomic inequalities in health. RESULTS: Large inequalities in health by (equivalent) income after differences in other socioeconomic indicators had been controlled for were observed. For example, among those in the lowest income group the risk of bad perceived health was three times as high as among people in the highest income group. The prevalence of deprivation (basic, housing, social) increased with decreasing income to approximately 50-60% in the lowest income group. A substantial part of the increased health risks of the lowest income groups could statistically be accounted for by the higher prevalence of deprivation in these groups. The components that are likely to influence health indirectly, through a psychological or behavioural mechanism, accounted for most of the effect. CONCLUSIONS: These analyses provide evidence to suggest that a low income has detrimental health effects through relative deprivation. Moreover, the results indicate an indirect link between deprivation and health problems involving psychological or behavioural factors.

Adolescent↗

No association of income inequality with adult mortality within New Zealand: a multi-level study of 1.4 million 25-64 year olds.

STUDY OBJECTIVE: To determine the association of regional income inequality within New Zealand with mortality among 25-64 year olds. DESIGN: Individual census and mortality records were linked over the 1991-94 period. Income inequality (Gini coefficients) and average household income variables were calculated for 35 regions. "Individual level" variables were sex, age, ethnicity, household income, rurality, and small area socioeconomic deprivation. Logistic regression was used for the analyses. Sensitivity analyses for the level of regional aggregation were conducted. PARTICIPANTS: 1.4 million New Zealand census respondents aged 25-64 years followed up for mortality for three years. MAIN RESULTS: Controlling for age, ethnicity, rurality, household income, and regional mean income, there was no association of income inequality with all cause mortality for either men (OR=1.007 for a 0.01 increase in the Gini, 95% confidence intervals 0.989 to 1.024) or women (OR=1.004, 0. 983 to 1.026). By cause of death (cancer, cardiovascular disease, unintentional injury, and suicide) there was some suggestion of a positive association for female unintentional injury (OR=1.068, 0.952 to 1.198) and suicide (OR=1.087, 0.957 to 1.234) but the 95% confidence intervals all included 1.0. Failure to control for ethnicity at the individual level resulted in some association of increasing regional income inequality with increasing mortality risk. Using fewer (n=14) or more (n=73) regional divisions did not substantially change the findings. CONCLUSION: There is no convincing evidence of an association of income inequality within New Zealand with adult mortality. Previous ecological analyses within New Zealand suggesting an association of income inequality with mortality were confounded by ethnicity at the individual level. However, this study does not refute the possibility that income inequality at the national level affects health.

Adult↗

Sources of income among homeless adults with major mental disorders or substance use disorders.

OBJECTIVE: The study documented sources and amounts of income among homeless adults with major mental or substance use disorders. It examined whether income varied by diagnostic group and whether those who received case management would be more likely to have income. METHODS: A total of 564 homeless adults from a countywide probability sample completed structured interviews. Based on DSM-III-R criteria, respondents were divided into four groups--those with current major mental disorders, substance use disorders, dual disorders, and no disorders. Income from entitlement benefits, formalsector employment, informal-sector employment, and other sources was documented by group. Logistic regression analysis was used to examine relationships between income sources, case management, and diagnostic groups. RESULTS: Although informal-sector income was the most common income source, it provided the fewest median dollars per month ($42). Entitlement benefits provided the most monthly income ($340) and was the second most common source. Respondents with major mental disorders, substance use disorders, or dual disorders were no less likely than those with no disorders to report income from entitlement benefits or formal-sector employment. Among those with major mental disorders, substance use disorders, or dual disorders, respondents who had recent case management were four to nine times more likely to report entitlement income. CONCLUSIONS: The results support other research and anecdotal findings on the importance of case management in obtaining entitlement income among homeless adults with major mental or substance use disorders.

Adolescent↗