Person:

Baicker, Katherine

Much of the current debate about expanding health insurance coverage avoids addressing an uncomfortable trade-off: with a limited budget, making benefits more generous means being able to cover fewer people. Moreover, designing insurance benefits that are limited to coverage of higher-value care but are extended to more people will generate greater improvements in health than providing unlimited care for fewer people. Policymakers and patient advocates are reluctant to acknowledge that in a world of scarce resources it will not be enough to eliminate waste: we will have to make active choices in our public insurance programs between increasing the number of people covered and increasing the generosity of that coverage.

With health care expenditures soaring, there is increasing interest in workplace-based disease prevention and health promotion as a means of improving health while lowering costs. We conduct a critical meta-analysis of the literature on costs and savings associated such programs, focusing on studies with particularly rigorous methods and examining effects on health care costs and absenteeism. We find that medical costs fall about $3.27 for every dollar spent on wellness programs, and absentee day costs fall by about $2.73 for every dollar spent. This average return on investment suggests that the wider adoption of such programs could prove beneficial for budgets and productivity as well as health outcomes.

Background: The Massachusetts 2006 health care reform has been called a model for the Affordable Care Act. The law attained near-universal insurance coverage and increased access to care. Its effect on population health is less clear.

Objective: To determine whether the Massachusetts reform was associated with changes in all-cause mortality and mortality from causes amenable to health care.

Design: Comparison of mortality rates before and after reform in Massachusetts versus a control group with similar demographics and economic conditions.

Setting: Changes in mortality rates for adults in Massachusetts counties from 2001 to 2005 (prereform) and 2007 to 2010 (postreform) were compared with changes in a propensity score–defined control group of counties in other states.

Participants: Adults aged 20 to 64 years in Massachusetts and control group counties.

Measurements: Annual county-level all-cause mortality in age-, sex-, and race-specific cells (n = 146 825) from the Centers for Disease Control and Prevention's Compressed Mortality File. Secondary outcomes were deaths from causes amenable to health care, insurance coverage, access to care, and self-reported health.

Results: Reform in Massachusetts was associated with a significant decrease in all-cause mortality compared with the control group (−2.9%; P = 0.003, or an absolute decrease of 8.2 deaths per 100 000 adults). Deaths from causes amenable to health care also significantly decreased (−4.5%; P < 0.001). Changes were larger in counties with lower household incomes and higher prereform uninsured rates. Secondary analyses showed significant gains in coverage, access to care, and self-reported health. The number needed to treat was approximately 830 adults gaining health insurance to prevent 1 death per year.

Limitations: Nonrandomized design subject to unmeasured confounders. Massachusetts results may not generalize to other states.

Conclusion: Health reform in Massachusetts was associated with significant reductions in all-cause mortality and deaths from causes amenable to health care.

Primary Funding Source: None.

The United States spends substantially more on health care than most developed countries, yet leaves a greater share of the population uninsured. We suggest that incremental insurance expansions focused on addressing market failures will propagate inefficiencies and are not likely to facilitate active policy decisions that align with societal coverage goals. By instead defining a basic bundle of services that is publicly financed for all, while allowing individuals to purchase additional coverage, policymakers could both expand coverage and maintain incentives for innovation, fostering universal access to innovative care in an affordable system.

Background: Several states have expanded Medicaid eligibility for adults in the past decade, and the Affordable Care Act allows states to expand Medicaid dramatically in 2014. Yet the effect of such changes on adults’ health remains unclear. We examined whether Medicaid expansions were associated with changes in mortality and other health related measures.Methods:We compared three states that substantially expanded adult Medicaid eligibility since 2000 (New York, Maine, and Arizona) with neighboring states without expansions. The sample consisted of adults between the ages of 20 and 64 years who were observed 5 years before and after the expansions, from 1997 through 2007. The primary outcome was all-cause county-level mortality among 68,012 year- and countyspecific observations in the Compressed Mortality File of the Centers for Disease Control and Prevention. Secondary outcomes were rates of insurance coverage, delayed care because of costs, and self-reported health among 169,124 persons in the Current Population Survey and 192,148 persons in the Behavioral Risk Factor Surveillance System.Results Medicaid expansions were associated with a significant reduction in adjusted allcause mortality (by 19.6 deaths per 100,000 adults, for a relative reduction of 6.1%;P=0.001). Mortality reductions were greatest among older adults, nonwhites, and residents of poorer counties. Expansions increased Medicaid coverage (by 2.2 percentage points, for a relative increase of 24.7%; P=0.01), decreased rates of uninsurance (by 3.2 percentage points, for a relative reduction of 14.7%; P<0.001), decreased rates of delayed care because of costs (by 2.9 percentage points, for a relative reduction of 21.3%; P=0.002), and increased rates of self-reported healthstatus of “excellent” or “very good” (by 2.2 percentage points, for a relative increase of 3.4%; P=0.04). Conclusions State Medicaid expansions to cover low-income adults were significantly associated with reduced mortality as well as improved coverage, access to care, and selfreported health.

Given the complex relationships between patients’ demographics, underlying health needs, and outcomes, establishing the causal effects of health policy and delivery interventions on health outcomes is often empirically challenging. The single interrupted time series (SITS) design has become a popular evaluation method in contexts where a randomized controlled trial is not feasible. In this paper, we formalize the structure and assumptions underlying the single ITS design and show that it is significantly more vulnerable to confounding than is often acknowledged and, as a result, can produce misleading results. We illustrate this empirically using the Oregon Health Insurance Experiment, showing that an evaluation using a single interrupted time series design instead of the randomized controlled trial would have produced large and statistically significant results of the wrong sign. We discuss the pitfalls of the SITS design, and suggest circumstances in which it is and is not likely to be reliable.