Collection of language data and services provided by health plans

OBJECTIVES

Key stakeholders agree better data on patients' language are needed to effectively address language-related barriers to timely, highquality healthcare. Our objective was to describe health plan efforts to collect language data from its members, provide language services, and improve the provision of culturally and linguistically appropriate services (CLAS).

STUDY DESIGN

National surveys in 2003, 2006, and 2008.

METHODS

Surveys were administered to health plans offering commercial, Medicaid, and/or Medicare Advantage products.

RESULTS

123 health plans responded to the 2008 survey (50% response rate), including 65 commercial (50%), 46 Medicaid (53%), and 12 Medicare plans (44%), representing a total enrollment of 133.8 million Americans. In 2008, 74.0% of health plans collected language data (commercial 60.0%, Medicaid 89.1%, Medicare 91.7%), which is an increase for each plan type since 2003. Health plans used direct and indirect collection methods. Nearly all health plans reported offering language services, the most common being telephonic interpreting, multilingual member materials, and access to bilingual providers. A variety of strategies for improving CLAS were cited by health plans, including improving health plan communication materials, health literacy initiatives for members, and targeted training for providers and staff.

CONCLUSIONS

Health plans have made substantial progress in the collection of language data and many are offering options for language services. With the rapid growth in Medicaid participation and newly insured individuals anticipated under the Affordable Care Act, health plans may be uniquely positioned to implement and test interventions that aim to improve appropriate utilization of language services by providers and patients.

Relative Affordability of Health Insurance Premiums under CHIP Expansion Programs and the ACA

Affordability is integral to the success of health care reforms aimed at ensuring universal access to health insurance coverage, and affordability determinations have major policy and practical consequences. This article describes factors that influenced the determination of affordability benchmarks and premium-contribution requirements for Children's Health Insurance Program (CHIP) expansions in three states that sought to universalize access to coverage for youth. It also compares subsidy levels developed in these states to the premium subsidy schedule under the Affordable Care Act (ACA) for health insurance plans purchased through an exchange. We find sizeable variability in premium-contribution requirements for children's coverage as a percentage of family income across the three states and in the progressivity and regressivity of the premium-contribution schedules developed. These findings underscore the ambiguity and subjectivity of affordability standards. Further, our analyses suggest that while the ACA increases the affordability of family coverage for families with incomes below 400 percent of the federal poverty level, the evolution of CHIP over the next five to ten years will continue to have significant implications for low-income families.

Neighborhood disadvantage and ischemic stroke: the Cardiovascular Health Study (CHS)

BACKGROUND AND PURPOSE

Neighborhood characteristics may influence the risk of stroke and contribute to socioeconomic disparities in stroke incidence. The objectives of this study were to examine the relationship between neighborhood socioeconomic status and incident ischemic stroke and examine potential mediators of these associations.

METHODS

We analyzed data from 3834 whites and 785 blacks enrolled in the Cardiovascular Health Study, a multicenter, population-based, longitudinal study of adults ages≥65 years from 4 US counties. The primary outcome was adjudicated incident ischemic stroke. Neighborhood socioeconomic status was measured using a composite of 6 census tract variables. Race-stratified multilevel Cox proportional hazard models were constructed adjusted for sociodemographic, behavioral, and biological risk factors.

RESULTS

Among whites, in models adjusted for sociodemographic characteristics, stroke hazard was significantly higher among residents of neighborhoods in the lowest compared with the highest neighborhood socioeconomic status quartile (hazard ratio, 1.32; 95% CI, 1.01-1.72) with greater attenuation of the hazard ratio after adjustment for biological risk factors (hazard ratio, 1.16; 0.88-1.52) than for behavioral risk factors (hazard ratio, 1.30; 0.99-1.70). Among blacks, we found no significant associations between neighborhood socioeconomic status and ischemic stroke.

CONCLUSIONS

Higher risk of incident ischemic stroke was observed in the most disadvantaged neighborhoods among whites, but not among blacks. The relationship between neighborhood socioeconomic status and stroke among whites appears to be mediated more strongly by biological than behavioral risk factors.

Racial/ethnic differences in US health behaviors: a decomposition analysis

OBJECTIVE

To quantify contributions of individual sociodemographic factors, neighborhood socioeconomic status (NSES), and unmeasured factors to racial/ethnic differences in health behaviors for non-Hispanic (NH) whites, NH blacks, and Mexican Americans.

METHODS

We used linear regression and Oaxaca decomposition analyses.

RESULTS

Although individual characteristics and NSES contributed to racial/ethnic differences in health behaviors, differential responses by individual characteristics and NSES also played a significant role.

CONCLUSIONS

There are racial/ethnic differences in the way that individual-level determinants and NSES affect health behaviors. Understanding the mechanisms for differential responses could inform community interventions and public health campaigns that target particular groups.

Risk of cardiovascular disease in first and second generation Mexican-Americans

This study examines the cardiovascular disease (CVD) risk profiles of first generation (FG) and second generation (SG) Mexican-Americans (MA) in two large national studies--the Hispanic Health and Nutrition Examination Study (HHANES) (1982-1984) and the National Health and Examination Study (NHANES) (1999-2004). The main outcome measures were five individual risk indicators of CVD (total cholesterol, HDL cholesterol, hypertension, diabetes, and smoking) and a composite measure (the Framingham Risk Score [FRS]). The analyses included cross-survey (pseudocohort) and within-survey (cross-sectional) comparisons. In multivariate analyses, SG men had higher rates of hypertension and lower rates of smoking than FG men; and SG women had lower total cholesterol levels, higher rates of hypertension, and lower rates of smoking than FG women. There was no generational difference in the FRS in men or women. The cross-survey comparisons detected generational differences in CVD risk factors not detected in within-survey comparisons, particularly among MA women. Future studies of generational differences in risk should consider using pseudocohort comparisons when possible.

Neighborhood archetypes for population health research: is there no place like home?

This study presents a new, latent archetype approach for studying place in population health. Latent class analysis is used to show how the number, defining attributes, and change/stability of neighborhood archetypes can be characterized and tested for statistical significance. The approach is demonstrated using data on contextual determinants of health for US neighborhoods defined by census tracts in 1990 and 2000. Six archetypes (prevalence 13-20%) characterize the statistically significant combinations of contextual determinants of health from the social environment, built environment, commuting and migration patterns, and demographics and household composition of US neighborhoods. Longitudinal analyses based on the findings demonstrate notable stability (76.4% of neighborhoods categorized as the same archetype ten years later), with exceptions reflecting trends in (ex)urbanization, gentrification/downgrading, and racial/ethnic reconfiguration. The findings and approach is applicable to both research and practice (e.g. surveillance) and can be scaled up or down to study health and place in other geographical contexts or historical periods.

Effects of competition on the cost and quality of inpatient rehabilitation care under prospective payment

OBJECTIVE

To determine the effect of competition in postacute care (PAC) markets on resource intensity and outcomes of care in inpatient rehabilitation facilities (IRFs) after prospective payment was implemented.

DATA SOURCES

Medicare claims, Provider of Services file, Enrollment file, Area Resource file, Minimum Data Set.

STUDY DESIGN

We created an exogenous measure of competition based on patient travel distances and used instrumental variables models to estimate the effect of competition on inpatient rehabilitation costs, length of stay, and death or institutionalization.

DATA EXTRACTION METHODS

A file was constructed linking data for Medicare patients discharged from acute care between 2002 and 2003 and admitted to an IRF with a diagnosis of hip fracture or stroke.

PRINCIPAL FINDINGS

Competition had different effects on treatment intensity and outcomes for hip fracture and stroke patients. In the treatment of hip fracture, competition increased costs and length of stay, while increasing rates of death or institutionalization. In the treatment of stroke, competition decreased costs and length of stay and produced inferior outcomes.

CONCLUSIONS

The effects of competition in PAC markets may vary by condition. It is important to study the effects of competition by diagnostic condition and to study the effects across populations that vary in severity. Our finding that higher competition under prospective payment led to worse IRF outcomes raises concerns and calls for additional research.

Family structure and childhood obesity, Early Childhood Longitudinal Study - Kindergarten Cohort

INTRODUCTION

Little is known about the effect of family structure on childhood obesity among US children. This study examines the effect of number of parents and number of siblings on children's body mass index and risk of obesity.

METHODS

We conducted a secondary data analysis of the Early Childhood Longitudinal Study - Kindergarten Cohort (ECLS-K), which consists of a nationally representative cohort of children who entered kindergarten during 1998-1999. Our analyses included 2 cross-sectional outcomes and 1 longitudinal outcome: body mass index (BMI) calculated from measured height and weight, obesity defined as BMI in the 95th percentile or higher for age and sex, and change in BMI from kindergarten through fifth grade.

RESULTS

Other things being equal, children living with single mothers were more likely to be obese by fifth grade than were children living with 2 parents (26% vs 22%, P = .05). Children with siblings had lower BMI and were less likely to be obese than children without siblings. We also found that living with a single mother or no siblings was associated with larger increases in BMI from kindergarten through fifth grade.

CONCLUSION

Children from single-mother families and, especially, children with no siblings are at higher risk for obesity than children living with 2 parents and children with siblings. These findings highlight the influential role that families play in childhood obesity. Additionally, they suggest that health care providers should consider the structure of children's families in discussions with families regarding childhood obesity.

Developing predictive models of health literacy

INTRODUCTION

Low health literacy (LHL) remains a formidable barrier to improving health care quality and outcomes. Given the lack of precision of single demographic characteristics to predict health literacy, and the administrative burden and inability of existing health literacy measures to estimate health literacy at a population level, LHL is largely unaddressed in public health and clinical practice. To help overcome these limitations, we developed two models to estimate health literacy.

METHODS

We analyzed data from the 2003 National Assessment of Adult Literacy (NAAL), using linear regression to predict mean health literacy scores and probit regression to predict the probability of an individual having 'above basic' proficiency. Predictors included gender, age, race/ethnicity, educational attainment, poverty status, marital status, language spoken in the home, metropolitan statistical area (MSA) and length of time in U.S.

RESULTS

All variables except MSA were statistically significant, with lower educational attainment being the strongest predictor. Our linear regression model and the probit model accounted for about 30% and 21% of the variance in health literacy scores, respectively, nearly twice as much as the variance accounted for by either education or poverty alone.

CONCLUSIONS

Multivariable models permit a more accurate estimation of health literacy than single predictors. Further, such models can be applied to readily available administrative or census data to produce estimates of average health literacy and identify communities that would benefit most from appropriate, targeted interventions in the clinical setting to address poor quality care and outcomes related to LHL.

Looking forward, looking back: assessing variations in hospital resource use and outcomes for elderly patients with heart failure

BACKGROUND

Recent studies have found substantial variation in hospital resource use by expired Medicare beneficiaries with chronic illnesses. By analyzing only expired patients, these studies cannot identify differences across hospitals in health outcomes like mortality. This study examines the association between mortality and resource use at the hospital level, when all Medicare beneficiaries hospitalized for heart failure are examined.

METHODS AND RESULTS

A total of 3999 individuals hospitalized with a principal diagnosis of heart failure at 6 California teaching hospitals between January 1, 2001, and June 30, 2005, were analyzed with multivariate risk-adjustment models for total hospital days, total hospital direct costs, and mortality within 180-days after initial admission ("Looking Forward"). A subset of 1639 individuals who died during the study period were analyzed with multivariate risk-adjustment models for total hospital days and total hospital direct costs within 180-days before death ("Looking Back"). "Looking Forward" risk-adjusted hospital means ranged from 17.0% to 26.0% for mortality, 7.8 to 14.9 days for total hospital days, and 0.66 to 1.30 times the mean value for indexed total direct costs. Spearman rank correlation coefficients were -0.68 between mortality and hospital days, and -0.93 between mortality and indexed total direct costs. "Looking Back" risk-adjusted hospital means ranged from 9.1 to 21.7 days for total hospital days and 0.91 to 1.79 times the mean value for indexed total direct costs. Variation in resource use site ranks between expired and all individuals were attributable to insignificant differences.

CONCLUSIONS

California teaching hospitals that used more resources caring for patients hospitalized for heart failure had lower mortality rates. Focusing only on expired individuals may overlook mortality variation as well as associations between greater resource use and lower mortality. Reporting values without identifying significant differences may result in incorrect assumption of true differences.

Community demographics and access to health care among U.S. Hispanics

OBJECTIVE

To explore the influence of the communities in which Hispanics live on their access to health care.

DATA

1996-2002 Medical Expenditure Panel Survey data, linked to secondary data sources and including 14,504 observations from 8,371 Mexican American respondents living in metropolitan areas.

STUDY DESIGN

We use multivariate probit regression models, stratified by individuals' insurance status, for analyses of four dependent variables measuring access to health care. We measure community characteristics at the zip code tabulation area level, and key independent variables of interest are the percentage of the population that speaks Spanish and percentage of the population that is immigrant Hispanic. Each of these measures is interacted with individual-level measures of nativity and length of U.S. residency.

PRINCIPAL FINDINGS

For Mexican American immigrants, living in an area populated by relatively more Spanish speakers or more Hispanic immigrants is associated with better access to care. The associations are generally stronger for more recent immigrants compared with those who are better established. Among U.S.-born Mexican Americans who are uninsured, living in areas more heavily populated with Spanish-speaking immigrants is negatively associated with access to care.

CONCLUSIONS

The results suggest that characteristics of the local population, including language and nativity, play an important role in access to health care among U.S. Hispanics, and point to the need for further study, including analyses of other racial and ethnic groups, using different geographic constructs for describing the local population, and, to the extent possible, more specific exploration of the mechanisms through which these characteristics may influence access to care.

Neighbourhood socioeconomic status and biological 'wear and tear' in a nationally representative sample of US adults

OBJECTIVE

To assess whether neighbourhood socioeconomic status (NSES) is independently associated with disparities in biological 'wear and tear' measured by allostatic load in a nationally representative sample of US adults.

DESIGN

Cross-sectional study.

SETTING

Population-based US survey, the Third National Health and Nutrition Examination Survey (NHANES III), merged with US census data describing respondents' neighbourhoods.

PARTICIPANTS

13,184 adults from 83 counties and 1805 census tracts who completed NHANES III interviews and medical examinations and whose residential addresses could be reliably geocoded to census tracts.

MAIN OUTCOME MEASURES

A summary measure of biological risk, incorporating nine biomarkers that together represent allostatic load across metabolic, cardiovascular and inflammatory subindices.

RESULTS

Being male, older, having lower income, less education, being Mexican-American and being both black and female were all independently associated with a worse allostatic load. After adjusting for these characteristics, living in a lower NSES was associated with a worse allostatic load (coefficient -0.46; CI -0.079 to -0.012). The relationship between NSES and allostatic load did not vary significantly by gender or race/ethnicity.

CONCLUSIONS

Living in a lower NSES in the USA is associated with significantly greater biological wear and tear as measured by the allostatic load, and this relationship is independent of individual SES characteristics. Our findings show that where one lives is independently associated with allostatic load, thereby suggesting that policies that improve NSES may also yield health returns.

Employer-sponsored insurance, health care cost growth, and the economic performance of U.S. Industries

OBJECTIVE

To estimate the effect of growth in health care costs that outpaces gross domestic product (GDP) growth ("excess" growth in health care costs) on employment, gross output, and value added to GDP of U.S. industries.

STUDY SETTING

We analyzed data from 38 U.S. industries for the period 1987-2005. All data are publicly available from various government agencies.

STUDY DESIGN

We estimated bivariate and multivariate regressions. To develop the regression models, we assumed that rapid growth in health care costs has a larger effect on economic performance for industries where large percentages of workers receive employer-sponsored health insurance (ESI). We used the estimated regression coefficients to simulate economic outcomes under alternative scenarios of health care cost inflation.

RESULTS

Faster growth in health care costs had greater adverse effects on economic outcomes for industries with larger percentages of workers who had ESI. We found that a 10 percent increase in excess growth in health care costs would have resulted in 120,803 fewer jobs, US$28,022 million in lost gross output, and US$14,082 million in lost value added in 2005. These declines represent 0.17 to 0.18 percent of employment, gross output, and value added in 2005.

CONCLUSION

Excess growth in health care costs is adversely affecting the economic performance of U.S. industries.

Cost implications of reduced work hours and workloads for resident physicians

BACKGROUND

Although the Accreditation Council for Graduate Medical Education (ACGME) limits the work hours of residents, concerns about fatigue persist. A new Institute of Medicine (IOM) report recommends, among other changes, improved adherence to the 2003 ACGME limits, naps during extended shifts, a 16-hour limit for shifts without naps, and reduced workloads.

METHODS

We used published data to estimate labor costs associated with transferring excess work from residents to substitute providers, and we examined the effects of our assumptions in sensitivity analyses. Next, using a probability model to represent labor costs as well as mortality and costs associated with preventable adverse events, we determined the net costs to major teaching hospitals and cost-effectiveness across a range of hypothetical changes in the rate of preventable adverse events.

RESULTS

Annual labor costs from implementing the IOM recommendations were estimated to be $1.6 billion (in 2006 U.S. dollars) across all ACGME-accredited programs ($1.1 billion to $2.5 billion in sensitivity analyses). From a 10% decrease to a 10% increase in preventable adverse events, net costs per admission ranged from $99 to $183 for major teaching hospitals and from $17 to $266 for society. With 2.5% to 11.3% decreases in preventable adverse events, costs to society per averted death ranged from $3.4 million to $0.

CONCLUSIONS

Implementing the four IOM recommendations would be costly, and their effectiveness is unknown. If highly effective, they could prevent patient harm at reduced or no cost from the societal perspective. However, net costs to teaching hospitals would remain high.

Cost sharing and the initiation of drug therapy for the chronically ill

BACKGROUND

Increased cost sharing reduces utilization of prescription drugs, but little evidence demonstrates how this reduction occurs or the factors associated with price sensitivity.

METHODS

We conducted a retrospective cohort study of older adults with employer-provided drug coverage from 1997 to 2002 from 31 different health plans. We measured the time until initiation of medical therapy for 17 183 patients with newly diagnosed hypertension, diabetes, or hypercholesterolemia.

RESULTS

For all study conditions, higher copayments were associated with delayed initiation of therapy. In survival models, doubling copayments resulted in large reductions in the predicted proportion of patients initiating pharmacotherapy at 1 and 5 years after diagnosis: for hypertension, 54.8% vs 39.9% at 1 year and 81.6% vs 66.2% at 5 years (P < .001); for hypercholesterolemia, 40.2% vs 31.1% at 1 year and 64.3% vs 53.8% at 5 years (P < .002); and for diabetes, 45.8% vs 40.0% at 1 year and 69.3% vs 62.9% at 5 years (P < .04). However, patients' rate of initiation and sensitivity to copayments strongly depended on their prior experience with prescription drugs. Those without prior drug use (26.1%, 10.4%, and 12.9%) initiated later (833, >1170, and >1402 days later in median time until initiation) and were far more price sensitive (increase of 34.5%, 20.1%, and 27.2% remaining untreated after 5 years when copayments doubled) than those with a history of drug use among patients with newly diagnosed hypertension, hypercholesterolemia, and diabetes, respectively. These results were robust to a wide range of sensitivity analyses.

CONCLUSIONS

High cost sharing delays the initiation of drug therapy for patients newly diagnosed with chronic disease. This effect is greater among patients who lack experience with prescription drugs. Policy makers and physicians should consider the effects of benefits design on patient behavior to encourage the adoption of necessary care.

Effects of payment changes on trends in post-acute care

OBJECTIVE

To test how the implementation of new Medicare post-acute payment systems affected the use of inpatient rehabilitation facilities (IRFs), skilled nursing facilities (SNFs), and home health agencies.

DATA SOURCES

Medicare acute hospital, IRF, and SNF claims; provider of services file; enrollment file; and Area Resource File data.

STUDY DESIGN

We used multinomial logit models to measure realized access to post-acute care and to predict how access to alternative sites of care changed in response to prospective payment systems.

DATA EXTRACTION METHODS

A file was constructed linking data for elderly Medicare patients discharged from acute care facilities between 1996 and 2003 with a diagnosis of hip fracture, stroke, or lower extremity joint replacement.

PRINCIPAL FINDINGS

Although the effects of the payment systems on the use of post-acute care varied, most reduced the use of the site of care they directly affected and boosted the use of alternative sites of care. Payment system changes do not appear to have differentially affected the severely ill.

CONCLUSIONS

Payment system incentives play a significant role in determining where Medicare beneficiaries receive their post-acute care. Changing these incentives results in shifting of patients between post-acute sites.

Review: immigrants and health care access, quality, and cost

Inadequate access and poor quality care for immigrants could have serious consequences for their health and that of the overall U.S. population. The authors conducted a systematic search for post-1996, population-based studies of immigrants and health care. Of the 1,559 articles identified, 67 met study criteria of which 77% examined access, 27% quality, and 6% cost. Noncitizens and their children were less likely to have health insurance and a regular source of care and had lower use than the U.S. born. The foreign born or non-English speakers were less satisfied and reported lower ratings and more discrimination. Immigrants incurred lower costs than the U.S. born, except emergency department expenditures for immigrant children. Policy solutions are needed to improve health care for immigrants and their children. Research is needed to elucidate immigrants' nonfinancial barriers, receipt of specific processes of care, cost of care, and health care experiences in nontraditional U.S. destinations.

The health value and cost of care for major depression

BACKGROUND

Trade-offs between costs and outcomes are a reality of health-care decisions. Cost-effectiveness analyses can guide choices toward interventions with the most health benefit for the least cost but are limited because generic measures of health value are infrequently available in the literature and are expensive to collect.

OBJECTIVE

We report on the application of a new approach to estimate the health value of alternative treatment patterns. We apply this approach to common treatment patterns for major depression, and we generate estimates of the change in health value that is attributable to a particular treatment. We also obtain estimates of treatment costs and report cost/health value ratios. We used a modified expert panel approach to estimate the change in health value attributable to different patterns of treatment. We used claims and pharmacy data to define usual care treatment patterns and estimate costs.

RESULTS

The lowest cost and most frequent treatment, 1 to 3 psychotherapy visits, produces minimal improvement. Treatments that include an antidepressant medication provide more health benefit per unit cost than all other treatments and adding a medication follow-up visit provides a lot of benefit for minimal cost.

CONCLUSIONS

We demonstrate the application of a new approach to estimate the health value of common depression treatment practices in the United States. Our results suggest cost-effective targets for quality improvement efforts by identifying ways in which treatment for depression could cost less to get to a given outcome. Because our approach uses a generic health outcome measure, it can be applied to other conditions, permitting comparisons of benefit across diseases.

Risk factors for chronic liver disease in Blacks, Mexican Americans, and Whites in the United States: results from NHANES IV, 1999-2004

OBJECTIVES

Morbidity and mortality due to liver disease and cirrhosis vary significantly by race/ethnicity in the United States. We examined the prevalence of liver disease risk factors among blacks, Mexican Americans, and whites, including elevated aspartate aminotransferase and alanine aminotransferase activity, infection with viral hepatitis B or hepatitis C, alcohol intake, obesity, diabetes, and metabolic syndrome.

METHODS

Data were obtained from the Fourth National Health and Nutrition Examination Survey (NHANES IV). A logistic regression was used to examine the association of race/ethnicity to liver disease risk factors, controlling for the demographic and socioeconomic variables.

RESULTS

Mexican-American men and women are the most likely to have elevated aminotransferase activity. Among men, Mexican Americans are more likely than whites to be heavy/binge drinkers, and blacks are more likely to have hepatitis B or hepatitis C. Among women, Mexican Americans are more likely than whites to be obese and diabetic, and less likely to be heavy/binge drinkers; blacks are more likely than whites to have hepatitis B or hepatitis C, be obese or diabetic, and less likely to be heavy/binge drinkers.

CONCLUSIONS

In this national sample, the prevalence of risk factors for liver disease varies by race/ethnicity. Mexican Americans and blacks have a greater risk of developing liver disease than their white counterparts. These findings are consistent with the observed racial/ethnic disparities in morbidity and mortality due to chronic liver disease and contribute to the efforts to identify the causes of these disparities. This information can be used by health professionals to tailor screening and intervention programs.

Obtaining utility estimates of the health value of commonly prescribed treatments for asthma and depression

BACKGROUND

Comparing the costs and health value associated with alternative quality improvement efforts is useful. This study employs expert panel methodology to elicit numerical estimates based on a 0 to 1 utility scale of the health benefit of usual treatment patterns for 2 medical conditions.

METHOD

The approach includes development of clinical profiles and derivation of treatment benefit estimates via the elicitation of utility ratings before and after treatment. Clinical profiles specified characteristics of patient groups, treatments to be rated, and their combinations. A panel of 13 asthma and depression experts made a series of utility ratings (before any new treatment, 1 or 3 mo later with no treatment, 1 or 3 mo after initiating various common treatments) for adult patient groups with depression or asthma. The panel convened to discuss discrepancies and subsequently made final ratings. Treatment benefit estimates were derived from the ratings made by the panelists after the panel meeting.

RESULTS

The treatment benefit estimates had face validity and minimal variability, indicating considerable consensus among experts. Treatment benefit estimates ranged from -0.03 to 0.25 for depression and from -0.04 to 0.24 for asthma. There was minimal variation in the estimates for both conditions (the estimates' standard deviations ranged from 0.01 to 0.06). Comparisons of the treatment benefit estimates before and after the expert panel meeting indicated substantial convergence, and evidence suggests that the benefit estimates are comparable across the 2 health conditions.

CONCLUSION

Comparable estimates of treatment benefit for distinct health conditions can be obtained from experts using the expert panel methodology.

Does how much and how you pay matter? Evidence from the inpatient rehabilitation care prospective payment system

We use the implementation of a new prospective payment system (PPS) for inpatient rehabilitation facilities (IRFs) to investigate the effect of changes in marginal and average reimbursement on costs. The results show that the IRF PPS led to a significant decline in costs and length of stay. Changes in marginal reimbursement associated with the move from a cost-based system to a PPS led to a 7-11% reduction in costs. The elasticity of costs with respect to average reimbursement ranged from 0.26 to 0.34. Finally, the IRF PPS had little or no impact on mortality or the rate of return to community residence.

Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States

BACKGROUND

Socioeconomic and racial-ethnic disparities in health status across the United States are large and persistent. Obesity rates are rising faster in black and Hispanic populations than in white populations, and they foreshadow even greater disparities in chronic illnesses such as diabetes and cardiovascular disease in years to come. Factors that influence dietary intake of fruit and vegetables in these populations are only partly understood.

OBJECTIVES

We examined associations between fruit and vegetable intake and neighborhood socioeconomic status (SES), analyzed whether neighborhood SES explains racial differences in intake, and explored the extent to which neighborhood SES has differential effects by race-ethnicity of US adults.

DESIGN

Using geocoded residential addresses from the Third National Health and Nutrition Examination Survey, we merged individual-level data with county and census tract-level US Census data. We estimated 3-level hierarchical models predicting fruit and vegetable intake with individual characteristics and an index of neighborhood SES as explanatory variables.

RESULTS

Neighborhood SES was positively associated with fruit and vegetable intake: a 1-SD increase in the neighborhood SES index was associated with consumption of nearly 2 additional servings of fruit and vegetables per week. Neighborhood SES explained some of the black-white disparity in fruit and vegetable intake and was differentially associated with fruit and vegetable intake among whites, blacks, and Mexican Americans.

CONCLUSIONS

The positive association of neighborhood SES with fruit and vegetable intake is one important pathway through which the social environment of neighborhoods affects population health and nutrition for whites, blacks, and Hispanics in the United States.

Socioeconomic Disparities in Medical Provider Visits among Medicare Managed Care Enrollees

This study examined socioeconomic disparities in medical provider visits for elderly people enrolled in two Medicare managed care plans. Controlling for health and demographic differences, elderly people of lower income had fewer primary care visits and those with lower education had fewer specialist visits. The number of emergency room visits was not significantly related to socioeconomic status (SES). People of low SES reported having more financial barriers to receiving care and greater difficulties navigating the managed care system than people of high SES. Further, elderly people of low SES had different degrees of belief in the efficacy of the medical system and of lifetime experiences with a usual source of medical care prior to Medicare, both of which were associated with differential use of medical providers.

Immigrants and health care: sources of vulnerability

Immigrants have been identified as a vulnerable population, but there is heterogeneity in the degree to which they are vulnerable to inadequate health care. Here we examine the factors that affect immigrants' vulnerability, including socioeconomic background; immigration status; limited English proficiency; federal, state, and local policies on access to publicly funded health care; residential location; and stigma and marginalization. We find that, overall, immigrants have lower rates of health insurance, use less health care, and receive lower quality of care than U.S.-born populations; however, there are differences among subgroups. We conclude with policy options for addressing immigrants' vulnerabilities.

The role of product design in consumers' choices in the individual insurance market

OBJECTIVE

To evaluate the role of health plan benefit design and price on consumers' decisions to purchase health insurance in the nongroup market and their choice of plan.

DATA SOURCES AND STUDY SETTING

Administrative data from the three largest nongroup insurers in California and survey data about those insured in the nongroup market and the uninsured in California.

STUDY DESIGN

We fit a nested logit model to examine the effects of plan characteristics on consumer choice while accounting for substitutability among certain groups of products.

PRINCIPAL FINDINGS

Product choice is quite sensitive to price. A 10 percent decrease in the price of a product would increase its market share by about 20 percent. However, a 10 percent decrease in prices of all products would only increase overall market participation by about 4 percent. Changes in the generosity of coverage will also affect product choice, but have only small effects on overall participation. A 20 percent decrease in the deductible or maximum out-of-pocket payment of all plans would increase participation by about 0.3-0.5 percent. Perceived information search costs and other nonprice barriers have substantial effects on purchase of nongroup coverage.

CONCLUSIONS

Modest subsidies will have small effects on purchase in the nongroup market. New product designs with higher deductibles are likely to be more attractive to healthy purchasers, but the new benefit designs are likely to have only small effects on market participation. In contrast, consumer education efforts have a role to play in helping to expand coverage.

Language access services for Latinos with limited English proficiency: lessons learned from Hablamos Juntos

BACKGROUND

The Robert Wood Johnson Foundation funded Hablamos Juntos (HJ), a $10-million multiyear demonstration to improve access to health care for Latinos with limited English proficiency and to explore cost-effective ways for health care organizations to provide language access services.

HABLAMOS JUNTOS

In this manuscript, the authors draw on their experiences in evaluating HJ, provide brief descriptions of innovative interventions, estimate operating costs, and synthesize lessons learned about implementation. A number of barriers and facilitators are documented.

CONCLUSION

The experience of HJ grantees provides guidance for organizations contemplating similar efforts. In particular, it highlights the need for health care organizations to involve physicians in the design and adoption of language services.

Neighborhood context and ethnicity differences in body mass index: a multilevel analysis using the NHANES III survey (1988-1994)

A growing body of literature has documented a link between neighborhood context and health outcomes. However, little is known about the relationship between neighborhood context and body mass index (BMI) or whether the association between neighborhood context and BMI differs by ethnicity. This paper investigates several neighborhood characteristics as potential explanatory factors for the variation of BMI across the United States; further, this paper explores to what extent segregation and the concentration of disadvantage across neighborhoods help explain ethnic disparities in BMI. Using data geo-coded at the census tract-level and linked with individual-level data from the Third National Health and Examination Survey in the United States (U.S.), we find significant variation in BMI across U.S. neighborhoods. In addition, neighborhood characteristics have a significant association with body mass and partially explain ethnic disparities in BMI, net of individual-level adjustments. These data also reveal evidence that ethnic enclaves are not in fact advantageous for the body mass index of Hispanics-a relationship counter to what has been documented for other health outcomes.

Socioeconomic and racial/ethnic differences in the discussion of cancer screening: "between-" versus "within-" physician differences

OBJECTIVE

To determine the extent to which socioeconomic and racial/ethnic differences in cancer screening discussion between a patient and his/her primary care physician are due to "within-physician" differences (the fact that patients were treated differently by the same physicians) versus "between-physician" differences (that they were treated by a different group of physicians).

DATA SOURCES

We use data from the baseline patient and physician surveys of two community trials from the Communication in Medical Care (CMC) research series. The two studies combined provide an analysis sample of 5,978 patients ages 50-80 nested within 191 primary care physicians who practiced throughout Southern California.

STUDY DESIGN

Our main outcomes of interest are whether the physician has ever talked to the patient about fecal occult blood test (FOBT; for colorectal cancer screening), mammogram (for breast cancer screening, female patients only) and the prostate-specific antigen test (PSA, male patients only). We consider five racial/ethnic groups: non-Hispanic white, non-Hispanic black, Hispanic, Asian, and other race/ethnicity. We measure socioeconomic status by both income and education. For each type of cancer screening discussion, we first estimate a probit model that includes patient characteristics as the only covariates to assess the overall differences. We then add physician fixed effects to derive estimates of "within-" versus "between-" physician differences.

PRINCIPAL FINDINGS

There was a strong education gradient in the discussion of all three types of cancer screening and most of the education differences arose within physicians. Disparities by income were less consistent across different screening methods, but seemed to have arisen mainly because of "between-physician" differences. Asians were much less likely, compared with whites, to have received discussion about FOBT and PSA and these differences were mainly "within-physician" differences. Black female patients, however, were much more likely, compared with whites treated by the same physicians, to have discussed mammogram with their physicians.

CONCLUSIONS

Differences in cancer screening discussion along the different dimensions of patient SES may have arisen because of very different mechanisms and therefore call for a combination of interventions. Physicians need to be aware of the persistent disparities by patient education in clinical communication regarding cancer screening and tailor their efforts to the needs of low-education patients. Quality-improvement efforts targeted at physicians practicing in low-income communities may also be effective in addressing disparities in cancer screening communication by patient income.

Hospital competition, managed care, and mortality after hospitalization for medical conditions in California

OBJECTIVE

To assess the effect of hospital competition and health maintenance organization (HMO) penetration on mortality after hospitalization for six medical conditions in California.

DATA SOURCE

Linked hospital discharge and vital statistics data for short-term general hospitals in California in the period 1994-1999. The study sample included adult patients hospitalized for one of the following conditions: acute myocardial infarction (N=227,446), hip fracture (N=129,944), stroke (N=237,248), gastrointestinal hemorrhage (GIH, N=216,443), congestive heart failure (CHF, N=355,613), and diabetes (N=154,837).

STUDY DESIGN

The outcome variable was 30-day mortality. We estimated multivariate logistic regression models for each study condition with hospital competition, HMO penetration, hospital characteristics, and patient severity measures as explanatory variables.

PRINCIPAL FINDINGS

Higher hospital competition was associated with lower 30-day mortality for three to five of the six study conditions, depending on the choice of competition measure, and this finding was robust to a variety of sensitivity analyses. Higher HMO penetration was associated with lower mortality for GIH and CHF.

CONCLUSIONS

Hospitals that faced more competition and hospitals in market areas with higher HMO penetration provided higher quality of care for adult patients with medical conditions in California. Studies using linked hospital discharge and vital statistics data from other states should be conducted to determine whether these findings are generalizable.

Does Quality of Care for Cardiovascular Disease and Diabetes Differ by Gender for Enrollees in Managed Care Plans?

PURPOSE

To assess gender differences in the quality of care for cardiovascular disease and diabetes for enrollees in managed care plans.

METHODS

We obtained data from 10 commercial and 9 Medicare plans and calculated performance on 6 Health Employer Data and Information Set (HEDIS) measures of quality of care (beta-blocker use after myocardial infarction [MI], low-density lipoprotein cholesterol [LDL-C] check after a cardiac event, and in diabetics, whether glycosylated hemoglobin [HgbA1c], LDL cholesterol, nephropathy, and eyes were checked) and a 7th HEDIS-like measure (angiotensin-converting enzyme [ACE] inhibitor use for congestive heart failure). A smaller number of plans provided HEDIS scores on 4 additional measures that require medical chart abstraction (control of LDL-C after cardiac event, blood pressure control in hypertensive patients, and HgbA1c and LDL-C control in diabetics). We used logistic regression models to adjust for age, race/ethnicity, socioeconomic status, and plan.

MAIN FINDINGS

Adjusting for covariates, we found significant gender differences on 5 of 11 measures among Medicare enrollees, with 4 favoring men. Similarly, among commercial enrollees, we found significant gender differences for 8 of 11 measures, with 6 favoring men. The largest disparity was for control of LDL-C among diabetics, where women were 19% less likely to achieve control among Medicare enrollees (relative risk [RR] = 0.81; 95% confidence interval [CI] = 0.64-0.99) and 16% less likely among commercial enrollees (RR = 0.84; 95%CI = 0.73-0.95).

CONCLUSION

Gender differences in the quality of cardiovascular and diabetic care were common and sometimes substantial among enrollees in Medicare and commercial health plans. Routine monitoring of such differences is both warranted and feasible.

Health care markets, the safety net, and utilization of care among the uninsured

OBJECTIVE

To quantify the relationship between utilization of care among the uninsured and the structure of the local health care market and safety net.

DATA SOURCES/STUDY SETTING

Nationally representative data from the 1996 to 2000 waves of the Medical Expenditure Panel Survey (MEPS) linked to data from multiple secondary sources.

STUDY DESIGN

We separately analyze outpatient care utilization and whether an individual incurred any medical expenditure among uninsured adults living in urban and rural areas. Safety net measures include distances between each individual and the nearest safety net providers as well as a measure of capacity based on local government and hospital health expenditures. Other covariates include the managed care presence in the local health care market, the percentage of individuals who are uninsured in the area, and local primary care physician supply. We simulate utilization using standardized predictions.

PRINCIPAL FINDINGS

Distances between the rural uninsured and safety net providers are significantly associated with utilization. In urban areas, we find that the percentage of individuals in the area who are uninsured, the pervasiveness and competitiveness of managed care, the primary care physician supply, and safety net capacity have a significant relationship with health care utilization.

CONCLUSIONS

Facilitating transport to safety net providers and increasing the number of such providers are likely to increase utilization of care among the rural uninsured. Our findings for urban areas suggest that the uninsured living in areas where managed care presence is substantial, and especially where managed care competition is limited, could be a target for policies to improve the ability of the uninsured to obtain care. Policies oriented toward enhancing funding for the safety net and increasing the capacity of safety net providers are likely to be important to ensuring the urban uninsured are able to obtain health care.

Did the Medicare Inpatient Rehabilitation Facility Prospective Payment System Result in Changes in Relative Patient Severity and Relative Resource Use?

BACKGROUND

The Centers for Medicare and Medicaid Services implemented a prospective payment system (PPS) in 2002 for care provided by inpatient rehabilitation facilities (IRFs) to Medicare beneficiaries.

OBJECTIVE

We sought to examine changes in the composition of Medicare beneficiaries in IRFs by examining the percentages of patients having worse functional or health status than the average for their payment groups (relative severity) and of patients having greater cost or longer length of stay than the average for their payment groups (relative resource use) before versus after IRF PPS; to examine whether observed changes in relative resource use were expected given predicted changes; and to explore whether these effects varied by IRF Medicare volume.

METHODS

In an observational study of indicators of Medicare beneficiary relative severity and relative resource use, we studied cases paid for by Medicare during 1999 and 2002 having an acute care stay preceding their IRF stay (n = 363,542 in 1999 and 446,002 in 2002).

RESULTS

Similar percentages of cases had longer than expected lengths of stay, greater-than-expected costs per case, and worse-than-expected functional status pre- versus post-IRF PPS. Cases under the IRF PPS had lower predicted probabilities of death 150 days after admission. Although predicted relative resource use remained steady, observed relative resource use decreased after IRF PPS.

CONCLUSIONS

IRF patient composition has not changed meaningfully for Medicare beneficiaries, but patients within payment groups are being provided less care, which could be attributable to the IRF PPS, existing trends in decreasing length of stay, or both.

Individual health insurance within the family: can subsidies promote family coverage?

This paper examines the role of price in health insurance coverage decisions within the family to guide policy in promoting whole family coverage. We analyze the factors that affect individual health insurance coverage among families, and explore family decisions about whom to cover and whom to leave uninsured. The analysis uses household data from California combined with abstracted individual health plan benefit and premium data. We find that premium subsidies for individual insurance would increase family coverage; however, their effect likely would be small relative to their implementation cost.

Effects of family structure on children's use of ambulatory visits and prescription medications

OBJECTIVE

To examine the effects of family structure, including number of parents, number of other children, and number and type of other adults, on office visits, emergency room visits, and use of prescription medications by children.

DATA SOURCE

The Household Component of the 1996-2001 Medical Expenditure Panel Survey (MEPS).

STUDY DESIGN

The study consisted of a nationally representative sample of children 0-17 years of age living in single-mother or two-parent families. We used negative binomial regression to model office visits and emergency room visits and logistic regression to model the likelihood of prescription medication use. Our analyses adjusted for demographic and socioeconomic characteristics as well as measures of children's health and parental education and child-rearing experience.

DATA COLLECTION/EXTRACTION METHOD

We combined 1996-2001 MEPS Full Year Consolidated Files and Medical Conditions Files.

PRINCIPAL FINDINGS

Descriptive data showed that children in single-mother families had fewer office visits than children in two-parent families; however, the effect of number of parents in the family on children's office visits or use of prescription medications was completely explained by other explanatory variables. By contrast, children living in families with many other children had fewer total and physician office visits and a lower likelihood of using a prescription medication than children living in families with no other children even after adjusting for other explanatory variables. Children who lived with other adults in addition to their parents also had fewer office visits and a lower likelihood of using a prescription medication than children who lived only with their parents.

CONCLUSIONS

Children living in families with many other children or with other adults use less ambulatory care and prescription medications than their peers. Additional research is needed to determine whether these differences in utilization affect children's health.

Dimensions of the local health care environment and use of care by uninsured children in rural and urban areas

OBJECTIVE

Despite concerted policy efforts, a sizeable percentage of children lack health insurance coverage. This article examines the impact of the health care safety net and health care market structure on the use of health care by uninsured children.

METHODS

We used the Medical Expenditure Panel Survey linked with data from multiple sources to analyze health care utilization among uninsured children. We ran analyses separately for children who lived in rural and urban areas and assessed the effects on utilization of the availability of safety net providers, safety net funding, supply of primary care physicians, health maintenance organization penetration, and the percentage of people who are uninsured, controlling for other factors that influence use.

RESULTS

Fewer than half of uninsured children had office-based visits to health care providers during the year, 8% of rural and 10% of urban children visited the emergency department at least once, and just over half of children had medical expenditures or charges during the year. Among uninsured children in rural areas, living closer to a safety net provider and living in an area with a higher supply of primary care physicians were positively associated with higher use and medical expenditures. In urban areas, the supply of primary care physicians and the level of safety net funding were positively associated with uninsured children's medical expenditures, whereas the percentage of the population that was uninsured was negatively associated with use of the emergency department.

CONCLUSIONS

Uninsured children had low levels of utilization over a range of different health care provider types and settings. The availability of safety net providers in the local area and the safety net's capacity to serve the uninsured influence access to care among children. Possible measures for ensuring access to health care among uninsured children include increasing the density of safety net providers in rural areas, enhancing funding for the safety net, and policies to increase primary care physician supply.

Impact of instructional practices on student satisfaction with attendings' teaching in the inpatient component of internal medicine clerkships

OBJECTIVE

To determine the prevalence and influence of specific attending teaching practices on student evaluations of the quality of attendings' teaching in the inpatient component of Internal Medicine clerkships.

DESIGN

Nationwide survey using a simple random sample.

SETTING

One hundred and twenty-one allopathic 4-year medical schools in the United States.

PARTICIPANTS

A total of 2,250 fourth-year medical students.

MEASUREMENTS AND MAIN RESULTS

In the spring of 2002, student satisfaction with the overall quality of teaching by attendings in the inpatient component of Internal Medicine clerkships was measured on a 5-point scale from very satisfied to very dissatisfied (survey response rate, 68.3%). Logistic regression was used to determine the association of specific teaching practices with student evaluations of the quality of their attendings' teaching. Attending physicians' teaching practices such as engaging students in substantive discussions (odds ratio (OR)=3.0), giving spontaneous talks and prepared presentations (OR=1.6 and 1.8), and seeing new patients with the team (OR=1.2) were strongly associated with higher student satisfaction, whereas seeming rushed and eager to finish rounds was associated with lower satisfaction (OR=0.6).

CONCLUSION

Findings suggest that student satisfaction with attendings' teaching is high overall but there is room for improvement. Specific teaching behaviors used by attendings affect student satisfaction. These specific behaviors could be taught and modified for use by attendings and clerkship directors to enhance student experiences during clerkships.

Consumer Decision Making In The Individual Health Insurance Market

This paper summarizes the results from a study of consumer decision making in California's individual health insurance market. We conclude that price subsidies will have only modest effects on participation and that efforts to reduce nonprice barriers might be just as effective. We also find that there is substantial pooling in the individual market and that it increases over time because people who become sick can continue coverage without new underwriting. Finally, we show that people prefer more-generous benefits and that it is difficult to induce people in poor health to enroll in high-deductible health plans.

Residency work-hours reform. A cost analysis including preventable adverse events

BACKGROUND

In response to proposed federal legislation, the Accreditation Council for Graduate Medical Education limited resident work-hours in July 2003. The cost may be substantial but, if successful, the reform might lower preventable adverse event costs in hospital and after discharge.

OBJECTIVES

This study sought to estimate the reform's net cost in 2001 dollars, and to determine the reduction in preventable adverse events needed to make reform cost neutral from teaching hospital and societal perspectives.

DESIGN

Cost analysis using published literature and data. Net costs were determined for 4 reform strategies and over a range of potential effects on preventable adverse events.

RESULTS

Nationwide, transferring excess work to task-tailored substitutes (the lowest-level providers appropriate for noneducational tasks) would cost 673 million dollars; mid-level providers would cost 1.1 billion dollars. Reform strategies promoting adverse events would increase net teaching hospital and societal costs as well as mortality. If task-tailored substitutes decrease events by 5.1% or mid-level providers decrease them by 8.5%, reform would be cost neutral for society. Events must fall by 18.5% and 30.9%, respectively, to be cost neutral for teaching hospitals.

CONCLUSIONS

Because most preventable adverse event costs occur after discharge, a modest decline (5.1% to 8.5%) in them might make residency work-hours reform cost neutral for society but only a much larger drop (18.5% to 30.9%) would make it cost neutral for teaching hospitals, unless additional funds are allocated. Future research should evaluate which reform approaches prevent adverse events and at what cost.

How much is postacute care use affected by its availability?

OBJECTIVE

To assess the relative impact of clinical factors versus nonclinical factors-such as postacute care (PAC) supply-in determining whether patients receive care from skilled nursing facilities (SNFs) or inpatient rehabilitation facilities (IRFs) after discharge from acute care.

DATA SOURCES AND STUDY SETTING

Medicare acute hospital, IRF, and SNF claims provided data on PAC choices; predictors of site of PAC chosen were generated from Medicare claims, provider of services, enrollment file, and Area Resource File data.

STUDY DESIGN

We used multinomial logit models to predict PAC use by elderly patients after hospitalizations for stroke, hip fractures, or lower extremity joint replacements.

DATA COLLECTION/EXTRACTION METHODS

A file was constructed linking acute and postacute utilization data for all medicare patients hospitalized in 1999.

PRINCIPAL FINDINGS

PAC availability is a more powerful predictor of PAC use than the clinical characteristics in many of our models. The effects of distance to providers and supply of providers are particularly clear in the choice between IRF and SNF care. The farther away the nearest IRF is, and the closer the nearest SNF is, the less likely a patient is to go to an IRF. Similarly, the fewer IRFs, and the more SNFs, there are in the patient's area the less likely the patient is to go to an IRF. In addition, if the hospital from which the patient is discharged has a related IRF or a related SNF the patient is more likely to go there.

CONCLUSIONS

We find that the availability of PAC is a major determinant of whether patients use such care and which type of PAC facility they use. Further research is needed in order to evaluate whether these findings indicate that a greater supply of PAC leads to both higher use of institutional care and better outcomes-or whether it leads to unwarranted expenditures of resources and delays in returning patients to their homes.

The managed care backlash: did consumers vote with their feet?

The managed care backlash led many to predict the demise of health maintenance organizations (HMOs). This paper examines trends in HMO enrollment in all metropolitan communities from 1994 to 2000 to identify factors that led to diminishing enrollment in the backlash era and circumstances in which HMOs maintained or expanded their presence. We use a database constructed from a wide variety of sources that describe HMO penetration and other characteristics of all metropolitan statistical areas. We found the backlash is not evidenced in a large degree of consumer switching. However, HMOs were more likely to maintain their presence in areas with high-cost growth and with greater managed care experience. Medicaid HMO growth continued to expand rapidly, indicating the possibility of a two-tiered system in which low-income beneficiaries have less choice than the privately insured.

Use of geocoding in managed care settings to identify quality disparities

Tracking quality-of-care measures is essential for improving care, particularly for vulnerable populations. Although managed care plans routinely track quality measures, few examine whether their performance differs by enrollee race/ethnicity or socioeconomic status (SES), in part because plans do not collect that information. We show that plans can begin examining and targeting potential disparities using indirect measures of enrollee race/ethnicity and SES based on geocoding. Using such measures, we demonstrate disparities within both Medicare+Choice and commercial plans on Health Plan Employer Data and Information Set (HEDIS) measures of diabetes and cardiovascular care, including instances in which race/ethnicity and SES have distinct effects.