Racialized economic segregation and potentially preventable hospitalizations among Medicaid/CHIP-enrolled children

OBJECTIVE

To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously.

DATA SOURCES

We supplement claims and enrollment data from the Transformed Medicaid Statistical Information System (T-MSIS) representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation.

STUDY DESIGN

We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state.

DATA EXTRACTION METHODS

We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions.

PRINCIPAL FINDINGS

Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes have rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p < 0.01). This pattern is driven by asthma-related preventable hospitalizations.

CONCLUSIONS

Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high-quality preventive care and that address structural drivers of children's health inequities.

Opioid Prescribing and Suicide Risk in the United States

OBJECTIVE

This study estimates associations of regional change in opioid prescribing with total suicide deaths and suicide overdose deaths involving opioids.

METHODS

A panel analysis was performed with 2009-2017 U.S. national IQVIA Longitudinal Prescription Database data and National Center for Health Statistics mortality data aggregated into commuting zones (N=886), which together span the United States. Opioid prescription exposures included opioid prescriptions per capita and percentages of patients with any opioid prescription, with high-dose prescriptions (>120 mg of morphine equivalents), with long-term prescriptions (≥60 consecutive days), and with prescriptions from three or more prescribers. Linear regression models were used with year and commuting zone fixed effects.

RESULTS

Suicide deaths were significantly positively associated with opioid prescriptions per capita (β=0.045), having any opioid prescription (β=0.069), having high-dose prescriptions (β=0.024), having long-term prescriptions (β=0.028), and having three or more opioid prescribers (β=0.046). Similar significant associations were observed between each of the five opioid prescription measures and suicide overdose deaths involving opioids (β range, 0.029-0.042). However, opioid prescriptions per capita, having any opioid prescription, and having three or more opioid prescribers were each negatively associated with unintentional opioid-related deaths in people in the 10- to 24-year and 25- to 44-year age groups.

CONCLUSIONS

In this retrospective study of U.S. commuting zone-level opioid prescriptions and mortality, regional decreases in opioid prescriptions were consistently associated with declines in total suicide deaths, including suicide overdose deaths involving opioids. For some opioid prescribing measures, negative associations were observed with unintentional overdose deaths involving opioids among younger people. Individual-level inferences are limited by the ecological nature of the analysis.

Population-Based Opioid Prescribing and Overdose Deaths in the USA: an Observational Study

BACKGROUND

Rising opioid-related death rates have prompted reductions of opioid prescribing, yet limited data exist on population-level associations between opioid prescribing and opioid-related deaths.

OBJECTIVE

To evaluate population-level associations between five opioid prescribing measures and opioid-related deaths.

DESIGN

An ecological panel analysis was performed using linear regression models with year and commuting zone fixed effects.

PARTICIPANTS

People ≥10 years aggregated into 886 commuting zones, which are geographic regions collectively comprising the entire USA.

MAIN MEASURES

Annual opioid prescriptions were measured with IQVIA Real World Longitudinal Prescription Data including 76.5% (2009) to 90.0% (2017) of US prescriptions. Prescription measures included opioid prescriptions per capita, percent of population with ≥1 opioid prescription, percent with high-dose prescription, percent with long-term prescription, and percent with opioid prescriptions from ≥3 prescribers. Outcomes were age- and sex-standardized associations of change in opioid prescriptions with change in deaths involving any opioids, synthetics other than methadone, heroin but not synthetics or methadone, and prescription opioids, but not other opioids.

KEY RESULTS

Change in total regional opioid-related deaths was positively correlated with change in regional opioid prescriptions per capita (β=.110, p<.001), percent with ≥1 opioid prescription (β=.100, p=.001), and percent with high-dose prescription (β=.081, p<.001). Change in total regional deaths involving prescription opioids was positively correlated with change in all five opioid prescribing measures. Conversely, change in total regional deaths involving synthetic opioids was negatively correlated with change in percent with long-term opioid prescriptions and percent with ≥3 prescribers, but not for persons ≥45 years. Change in total regional deaths in heroin was not associated with change in any prescription measure.

CONCLUSIONS

Regional decreases in opioid prescriptions were associated with declines in overdose deaths involving prescription opioids, but were also associated with increases in deaths involving synthetic opioids (primarily fentanyl). Individual-level inferences are limited by the ecological nature of the analysis.

The impact of civil conflict on infant and child malnutrition, Nigeria, 2013

The new millennium brought renewed attention to improving the health of women and children. In this same period, direct deaths from conflicts have declined worldwide, but civilian deaths associated with conflicts have increased. Nigeria is among the most conflict-prone countries in Sub-Saharan Africa, especially recently with the Boko Haram insurgency in the north. This paper uses two data sources, the 2013 Demographic and Health Survey for Nigeria and the Social Conflict Analysis Database, linked by geocode, to study the effect of these conflicts on infant and young child acute malnutrition (or wasting). We show a strong association in 2013 between living close to a conflict zone and acute malnutrition in Nigerian children, with larger effects for rural children than urban children. This is related to the severity of the conflict, measured both in terms of the number of conflict deaths and the length of time the child was exposed to conflict. Undoubtedly, civil conflict is limiting the future prospects of Nigerian children and the country's economic growth. In Nigeria, conflicts in the north are expected to continue with sporadic attacks and continued damaged infrastructure. Thus, Nigerian children, innocent victims of the conflict, will continue to suffer the consequences documented in this study.

Financial burden of medical out-of-pocket spending by state and the implications of the 2014 Medicaid expansions

This study is the first to offer a detailed look at the burden of medical out-of-pocket spending, defined as total family medical out-of-pocket spending as a proportion of income, for each state. It further investigates which states have greater shares of individuals with high burden levels and no Medicaid coverage but would be Medicaid eligible under the 2014 rules of the Affordable Care Act should their state choose to participate in the expansion. This work suggests which states have the largest populations likely to benefit, in terms of lowering medical spending burden, from participating in the 2014 adult Medicaid expansions.

How Well Is CHIP Addressing Health Care Access and Affordability for Children?

OBJECTIVE

We examine how access to care and care experiences under the Children's Health Insurance Program (CHIP) compared to private coverage and being uninsured in 10 states.

METHODS

We report on findings from a 2012 survey of CHIP enrollees in 10 states. We examined a range of health care access and use measures among CHIP enrollees. Comparisons of the experiences of established CHIP enrollees to the experiences of uninsured and privately insured children were used to estimate differences in children's health care.

RESULTS

Children with CHIP coverage had substantially better access to care across a range of outcomes, other things being equal, particularly compared to those with no coverage. Compared to being uninsured, CHIP enrollees were more likely to have specialty and mental health visits and to receive prescription drugs; and their parents were much more likely to feel confident in meeting the child's health care needs and were less likely to have trouble finding providers. CHIP enrollees were less likely to have unmet needs, but 1 in 4 had at least 1 unmet need. Compared to being privately insured, CHIP enrollees had generally similar health care use and unmet needs. Additionally, CHIP enrollees had lower financial burden related to their health care needs. The findings were generally robust with respect to alternative specifications and subgroup analyses, and they corroborated findings of previous studies.

CONCLUSIONS

Enrolling more of the uninsured children who are eligible for CHIP improved their access to a range of care, including specialty and mental health services, and reduced the financial burden of meeting their health care needs; however, we found room for improvement in CHIP enrollees' access to care.

How Well Is CHIP Addressing Oral Health Care Needs and Access for Children?

OBJECTIVE

We examine how access to and use of oral and dental care under the Children's Health Insurance Program (CHIP) compared to private coverage and being uninsured in 10 states.

METHODS

We report on findings drawn from a 2012 survey of CHIP enrollees in 10 states. We examined a range of parent-reported dental care access and use measures among CHIP enrollees. Comparisons of the experiences of established CHIP enrollees to the experiences of newly enrolling children who had been uninsured or privately insured were used to estimate the impacts of CHIP on children's oral health and dental care.

RESULTS

Most children enrolled in CHIP had a usual source of dental care and had received a dental checkup or cleaning in the past year, and most over age 6 had had sealants placed on their molars. In addition, parents of most CHIP enrollees were aware that CHIP covered dental benefits, and most reported not having trouble finding a dentist to see their child. Even so, 12% of CHIP enrollees had unmet dental care needs. Compared to being uninsured, CHIP enrollees did better across nearly all oral health measures. Compared to being privately insured, CHIP enrollees were more likely to have dental benefits, to have a usual source of dental care, and to have had a dental checkup/cleaning, but they were more likely to have trouble finding a dentist and less likely to say that their child's teeth were in excellent/very good condition.

CONCLUSIONS

Enrolling eligible uninsured children in CHIP led to improvements in their access to preventive dental care, as well as reductions in their unmet dental care needs, yet the CHIP program has more work to do to address the oral health problems of children.

Reconciling findings on the employment effect of disability insurance

Over the last 25 years, the Social Security Disability Insurance Program (DI) has grown dramatically. During the same period, employment rates for men with work limitations showed substantial declines in both absolute and relative terms. While the timing of these trends suggests that the expansion of DI was a major contributor to employment decline among this group, raising questions about the targeting of disability benefits, studies using denied applicants suggest a more modest role of the DI expansion. To reconcile these findings, we decompose total employment changes into population and employment changes for three categories: DI beneficiaries, denied applicants, and non-applicants. Our results show that during the early 1990s, the growth in DI can fully explain the employment decline for men only under an extreme assumption about the employment potential of beneficiaries. For the period after the mid-1990s, we find little role for the DI program in explaining the continuing employment decline for men with work limitations.

Trends in Prescription Drug Spending Leading Up to Health Reform

Over the past decade, prescription drug expenditures grew faster than any other service category and comprised an increasing share of per capita health spending. Using the 2005 and 2009 Medical Expenditure Panel Surveys, this analysis identifies the sources of spending growth for prescription drugs among the nonelderly population. We find that prescription drug expenditures among the nonelderly increased by $14.9 billion (9.2%) from 2005 to 2009 and expenditures increased in 12 out of the 16 therapeutic classes. Changes in the number of users and expenditures per fill were the drivers of spending fluctuations in these categories. The main results also provide insight into generic entry, the price gap between brand and generic drugs, and from a health reform evaluation perspective, the importance of separating prepolicy secular trends in expenditures from changes attributable to specific forces, such as shifts toward generic versions of blockbuster drugs.

Medical spending and the health of the elderly

OBJECTIVE

To estimate the relationship between variations in medical spending and health outcomes of the elderly.

DATA SOURCES

1992-2002 Medicare Current Beneficiary Surveys.

STUDY DESIGN

We used instrumental variable (IV) estimation to identify the relationships between alternative measures of elderly Medicare beneficiaries' medical spending over a 3-year observation period and health status, measured by the Health and Activity Limitation Index (HALex) and survival status at the end of the 3 years. We used the Dartmouth Atlas End-of-Life Expenditure Index defined for hospital referral regions in 1996 as the exogenous identifying variable to construct the IVs for medical spending.

DATA COLLECTION/EXTRACTION METHODS

The analysis sample includes 17,438 elderly (age >64) beneficiaries who entered the Medicare Current Beneficiary Survey in the fall of each year from 1991 to 1999, were not institutionalized at baseline, stayed in fee-for-service Medicare for the entire observation period, and survived for at least 2 years. Measures of baseline health were constructed from information obtained in the fall of the year the person entered the survey, and changes in health were from subsequent interviews over the entire observation period. Medicare and total medical spending were constructed from Medicare claims and self-reports of other spending over the entire observation period.

PRINCIPAL FINDINGS

IV estimation results in a positive and statistically significant relationship between medical spending and better health: 10 percent greater medical spending over the prior 3 years (mean=U.S.$2,709) is associated with a 1.9 percent larger HALex value (p=.045; range 1.2-2.2 percent depending on medical spending measure) and a 1.5 percent greater survival probability (p=.039; range 1.2-1.7 percent).

CONCLUSIONS

On average, greater medical spending is associated with better health status of Medicare beneficiaries, implying that across-the-board reductions in Medicare spending may result in poorer health for some beneficiaries.

Clarifying sources of geographic differences in Medicare spending

BACKGROUND

Although geographic differences in Medicare spending are widely considered to be evidence of program inefficiency, policymakers need to understand how differences in beneficiaries' health and personal characteristics and specific geographic factors affect the amount of Medicare spending per beneficiary before formulating policies to reduce geographic differences in spending.

METHODS

We used Medicare Current Beneficiary Surveys from 2000 through 2002 to examine differences across geographic areas (grouped into quintiles on the basis of Medicare spending per beneficiary over the same period). We estimated multivariate-regression models of individual spending that included demographic and baseline health characteristics, changes in health status, other individual determinants of demand, and area-level measures of the supply of health care resources. Each group of variables was entered into the model sequentially to assess the effect on geographic differences in spending.

RESULTS

Unadjusted Medicare spending per beneficiary was 52% higher in geographic regions in the highest spending quintile than in regions in the lowest quintile. After adjustment for demographic and baseline health characteristics and changes in health status, the difference in spending between the highest and lowest quintiles was reduced to 33%. Health status accounted for 29% of the unadjusted geographic difference in per-beneficiary spending; additional adjustment for area-level differences in the supply of medical resources did not further reduce the observed differences between the top and bottom quintiles.

CONCLUSIONS

Policymakers attempting to control Medicare costs by reducing differences in Medicare spending across geographic areas need better information about the specific source of the differences, as well as better methods for adjusting spending levels to account for underlying differences in beneficiaries' health measures.

Health, Economic Resources and the Work Decisions of Older Men

We specify a dynamic programming model that addresses the interplay among health, financial resources, and the labor market behavior of men late in their working lives. We model health as a latent variable, for which self reported disability status is an indicator, and allow self-reported disability to be endogenous to labor market behavior. We use panel data from the Health and Retirement Study. While we find large impacts of health on behavior, they are substantially smaller than in models that treat self-reports as exogenous. We also simulate the impacts of several potential reforms to the Social Security program.

Medicare savings programs: analyzing options for expanding eligibility

The Medicare Savings Programs (MSPs) are designed to provide financial assistance to Medicare beneficiaries who do not qualify for full Medicaid coverage. This paper considers changes in eligibility that would better align MSP program rules with those related to receiving low-income subsidies for the Medicare Part D drug benefit. These changes would make more people eligible for the MSPs and could encourage greater participation; similar changes were incorporated in recently passed legislation. Our analysis, based on 2006 data from the Health and Retirement Study, shows there is a trade-off between making larger numbers of beneficiaries eligible by eliminating resource requirements and better targeting of individuals with greater health care needs by expanding income standards.

Reforming beneficiary cost sharing to improve Medicare performance

This paper explores options for reforming Medicare cost sharing in an effort to provide better financial protection for those beneficiaries with the greatest health care needs. Using data from the Health and Retirement Study (HRS) and the Medicare Current Beneficiary Survey (MCBS), we consider how unified annual deductibles, alternative coinsurance rates, and a limit on out-of-pocket spending would alter program spending, beneficiary cost sharing, and premiums for supplemental coverage. We show that adding an out-of-pocket limit and raising deductibles and coinsurance slightly would provide better safeguards to beneficiaries with high costs than the current Medicare benefit structure. Our estimates also suggest that policies protecting these beneficiaries could be structured in a way that would add little to overall program costs.

Promoting declines in the prevalence of late-life disability: comparisons of three potentially high-impact interventions

Although the prevalence of late-life disability has been declining, how best to promote further reductions remains unclear. This article develops and then demonstrates an approach for comparing the effects of interventions on the prevalence of late-life disability. We review evidence for three potentially high-impact strategies: physical activity, depression screening and treatment, and fall prevention. Because of the large population at risk for falling, the demonstrated efficacy of multi-component interventions in preventing falls, and the strong links between falls and disability, we conclude that, in the short run, multi-component fall-prevention efforts would likely have a higher impact than either physical activity or depression screening and treatment. However, longer-term comparisons cannot be made based on the current literature and may differ from short-run conclusions, since increases in longevity may temper the influences of these interventions on prevalence. Additional research is needed to evaluate longer-term outcomes of interventions, including effects on length and quality of life.

Health insurance and health at age 65: implications for medical care spending on new Medicare beneficiaries

OBJECTIVES

To investigate the consequences of endogeneity bias on the estimated effect of having health insurance on health at age 63 or 64, just before most people qualify for Medicare, and to simulate the implications for total and public insurance (Medicare and Medicaid) spending on newly enrolled beneficiaries in their first years of Medicare coverage.

DATA

The longitudinal Health and Retirement Survey of people who were 55-61 years old in 1992, followed through biannual surveys to age 63-64 or until 2000 (whichever came first), and those who were 66-70 years olds from the Medicare Current Beneficiary Surveys, 1992-1998.

STUDY DESIGN

Instrumental variable (IV) estimation of a simultaneous equation model of insurance choice and health at age 63-64 as a function of baseline health and sociodemographic characteristics in 1992 and endogenous insurance coverage over the observation period.

FINDINGS

Continuous insurance coverage is associated with significantly fewer deaths prior to age 65 and, among those who survive, a significant upward shift in the distribution of health states from fair and poor health with disabilities to good to excellent health. Treating insurance coverage as endogenous increases the magnitude of the estimated effect of having insurance on improved health prior to age 65. The medical spending simulations suggest that if the near-elderly had continuous insurance coverage, average annual medical spending per capita for new Medicare beneficiaries in their first few years of coverage would be slightly lower because of the improvement in health status. In addition, total Medicare and Medicaid spending for new beneficiaries over their first few years of coverage would be about the same or slightly lower, even though more people survive to age 65.

CONCLUSIONS

Extending insurance coverage to all Americans between the ages of 55 and 64 would improve health (increase survival and shift people from good-fair-poor health to excellent-very good health) at age 65, and possibly reduce total short-term spending by Medicare and Medicaid for newly eligible Medicare beneficiaries, even though more people would enter the program because of increased survival.

Resolving inconsistencies in trends in old-age disability: report from a technical working group

In September 2002, a technical working group met to resolve previously published inconsistencies across national surveys in trends in activity limitations among the older population. The 12-person panel prepared estimates from five national data sets and investigated methodological sources of the inconsistencies among the population aged 70 and older from the early 1980s to 2001. Although the evidence was mixed for the 1980s and it is difficult to pinpoint when in the 1990s the decline began, during the mid- and late 1990s, the panel found consistent declines on the order of 1%-2.5% per year for two commonly used measures in the disability literature: difficulty with daily activities and help with daily activities. Mixed evidence was found for a third measure: the use of help or equipment with daily activities. The panel also found agreement across surveys that the proportion of older persons who receive help with bathing has declined at the same time as the proportion who use only equipment (but not personal care) to bathe has increased. In comparing findings across surveys, the panel found that the period, definition of disability, treatment of the institutionalized population, and age standardizing of results were important to consider. The implications of the findings for policy, national survey efforts, and further research are discussed.

Medical malpractice liability and its effect on prenatal care utilization and infant health

In this paper we conduct the first national evaluation of the effect of malpractice liability pressure, as measured by malpractice premiums, on prenatal care utilization and infant health. Our results indicate that a decrease in malpractice premiums that would result from a feasible policy reform would lead to a decrease in the incidence of late prenatal care by between 3.0 and 5.9% for black women and between 2.2 and 4.7% for white women. Although, we found evidence that malpractice liability pressure was associated with greater prenatal care delay and fewer prenatal care visits, we did not find evidence that such pressure negatively affected infant health.

The impact of malpractice fears on cesarean section rates

A longstanding issue in the health care industry is whether physicians' malpractice fears lead to defensive medicine. We use national birth certificate data from 1990 through 1992 to conduct a county fixed-effects analysis of the impact of malpractice claims risk on cesarean-section rates and infant health. Malpractice claims risk is measured by obstetricians' malpractice premiums. The study provides evidence that physicians practice defensive medicine in obstetrics but that the impact of increased cesarean sections that results from malpractice fears on total obstetric care costs is small. The study also finds that physicians' defensive response varies with the socioeconomic status of the mother.

Race, socioeconomic status, and health: accounting for race differences in health

This article uses the Asset and Health Dynamics Among the Oldest Old (AHEAD) study to examine the extent to which observed differences in the prevalence of chronic conditions and functional limitations between Black and White adults (aged 70+) in the United States can be attributed to differences in various aspects of socioeconomic status (SES) between these groups. We use linear and logistic regression techniques to model the relationships between health outcomes and SES. Our findings indicate that race differences in measurable socioeconomic characteristics indeed explain a substantial fraction, but in general not all, of Black/White differences in health status. While our findings do not suggest that low SES directly "causes" poor health, any more than being Black does so, they do suggest that research and policy intended to address the deficit in health status among Blacks (when compared to Whites) in the U.S. would be well-served to begin with the deficit in wealth, education, and other SES measures.

Race differences in labor force attachment and disability status

We used the first wave of the Health and Retirement Survey to study the effect of health on the labor force activity of black and white men and women in their 50s. The evidence we present confirms the notion that health is an extremely important determinant of early labor force exit. Our estimates suggest that health differences between blacks and whites can account for most of the racial gap in labor force attachment for men. For women, when participation rates are comparable, our estimates imply that black women would be substantially more likely to work than white women were it not for the marked health differences. We also found for both men and women that poor health has a substantially larger effect on labor force behavior for blacks. The evidence suggests that these differences result from black/white differences in access to the resources necessary to retire.