Voting restrictions associated with health inequities in teenage birth rates.

OBJECTIVES: Since the Landmark Shelby V. Holder Supreme Court Ruling, the number of laws in the United States that make it difficult to vote has increased dramatically. This may lead to legislation that limits access to health care, including options for family planning services. We determine whether voting restrictions are associated with county-level teenage birth rates. STUDY DESIGN: This is an ecological study. METHODS: The Cost of Voting Index, a state-level measure of barriers to voting during US elections from 1996 to 2016, was used as a proxy for access to voting. County-level teenage birth rates were obtained from the County Health Rankings data. We used multilevel modeling to determine whether restrictive voting laws were associated with county-level teenage birth rates. We tested whether associations varied across racial and socio-economic groups. RESULTS: When confounders were included, a significant association was observed between increasing voting restrictions and teenage birth rates (ß = 1.72, 95% confidence interval: 0.54, 2.89). A Cost of Voting Index-median income interaction term was tested and was statistically significant (ß = -1.00, 95% confidence interval: -1.36, -0.64), indicating that the observed relationship was particularly strong among lower-income counties. The number of reproductive health clinics per capita within each state is a potential mediator. CONCLUSION: Restrictive voting laws were associated with higher teenage birth rates, particularly for low-income counties. Future work should use methods in which a causal relation can be identified.

The promise of big data for precision population health management in the US.

OBJECTIVES: As we enter the year 2020, health data in the United States (US) is still in the process of being curated into a usable format. With coordinated data systems, it becomes possible to answer, with relative certainty, what preventive and medical interventions work in the real world and for whom they might work. STUDY DESIGN: This is a non-systematic expert review. METHODS: A non-systematic expert review was undertaken to identify relevant scientific and gray literature on the current state and the limitations of evaluation of health interventions and the health data infrastructure in the US. This review also included the literature on nations with unified data systems. We coupled this review with non-structured interviews of data scientists to gain insight into the progress in establishing the components necessary to support a unified data system and to facilitate data exchange for evaluations, as well as further guide our review. Our goal was to produce a critical analysis of the existing attempts to standardize and use data collected during patient encounters with physicians for public health purposes. RESULTS: Data obtained from electronic health records are produced in a way that is challenging to use and difficult to compile across platforms in the US. One response to this problem has been to encourage the exchange and standardization of health record information through Distributed Research Networks and Common Data Models (CDMs). These data can be combined with mobile health, social media, and other sources of data to radically transform what we know about the prevention and management of disease. However, issues with the variety of CDMs and growing sense of distrust of institutions that maintain data continue to impede medical progress. CONCLUSIONS: We present a framework for data use that will allow public health to answer a swath of unanswered research questions that can improve public health practice.

Health and economic consequences of applying the United States' PM2.5 automobile emission standards to other nations: a case study of France and Italy.

OBJECTIVES: The US has among the world's strictest automobile emission standards, but it is now loosening them. It is unclear where a nation should draw the line between the associated cost burden imposed by regulations and the broader societal benefits associated with having cleaner air. Our study examines the health benefits and cost-effectiveness of introducing stricter vehicle emission standards in France and Italy. STUDY DESIGN: Quasi-experimental study. METHODS: We used cost-effectiveness modeling to measure the incremental quality-adjusted life years (QALYs) and cost (Euros) of adopting more stringent US vehicle emission standards for PM2.5 in France and Italy. RESULTS: Adopting Obama era US vehicle emission standards would likely save money and lives for both the French and Italian populations. In France, adopting US emission standards would save €1000 and increase QALYs by 0.04 per capita. In Italy, the stricter standards would save €3000 and increase QALYs by 0.31. The results remain robust in both the sensitivity analysis and probabilistic Monte Carlo simulation model. CONCLUSIONS: Adopting more stringent emission standards in France and Italy would save money and lives.

The cost-effectiveness of limiting federal housing vouchers to use in low-poverty neighborhoods in the United States.

OBJECTIVE: Residents of low-income neighborhoods are exposed to relatively higher rates of crime, fewer opportunities to exercise, poorer schools, and few opportunities to eat healthy foods than residents of middle-class neighborhoods. Policies that influence neighborhood context could therefore serve as health interventions. We seek to inform the policy debate over the wisdom of spending health dollars on non-health sectors of the economy by defining the opportunity cost of doing so. STUDY DESIGN: Cost-effectiveness analysis with Markov model and Monte Carlo simulation. METHODS: We assess the long-term health and economic benefits of Moving to Opportunity-type housing vouchers vs traditional public housing. Our Markov model draws heavily from decades of follow-up data from a large randomized-controlled trial, from which we make projections about health outcomes and costs. RESULTS: Restricted housing vouchers cost less over the lifetime of recipients than traditional vouchers ($186,629 [95% credible interval: $148,856-$229,235] vs $194,077 [$153,831-$240,904]), while improving health and longevity (19.39 quality-adjusted life years [15.83-21.35] vs 19.16 [15.65-21.03]). Over 99% of the model simulations favored restricted housing vouchers over traditional public housing or non-restrictive vouchers. CONCLUSIONS: Restrictive vouchers appear to improve population health, save money, and save lives.

Predicting geographical variations in behavioural risk factors: an analysis of physical and mental healthy days.

STUDY OBJECTIVES: To determine the validity of physical and mental unhealthy days as summary measures for county health status and to forward a method for examining county level health trends using a single year of data from the Behavioral Risk Factor Surveillance System (BRFSS). DESIGN: The study analysed geographical variation in physical and mental unhealthy days at the state and county level using the 2000 BRFSS. Whereas state level analyses used individual level data, this research conducted multilevel regression analysis using county level data as independent variables and individual level reports of physical and mental unhealthy days as dependent variables. SETTING: Population based samples of non-institutionalised civilian adult residents from each of the 50 states and the District of Columbia in the United States. MAIN RESULTS: Socioeconomic variables predicted similar mean numbers of physical and mental unhealthy days at both the state and county level, validating the county level analyses. County level disability rates were strongly associated with county mean unhealthy days. Using the regression method we forward, it is possible to analyse county level trends using a single year of BRFSS data. CONCLUSIONS: Physical and mental unhealthy days may be used as valid summary measures of county health status. Regression models may be used to assist local decision makers in assessing the needs of their communities and may be used to improve health resource allocation within states.

The cost-effectiveness of ivermectin vs. albendazole in the presumptive treatment of strongyloidiasis in immigrants to the United States.

The presumptive treatment of parasitosis among immigrants with albendazole has been shown to save both money and lives, primarily via a reduction in the burden of Strongyloides stercoralis. Ivermectin is more effective than albendazole, but is also more expensive. This coupled with confusion surrounding the cost-effectiveness of guiding therapy based on eosinophil counts has led to disparate practices. We used the newly arrived year 2000 immigrant population as a hypothetical cohort in a decision analysis model to examine the cost-effectiveness of various interventions to reduce parasitosis among immigrants. When the prevalence of S. stercoralis is greater than 2%, the incremental cost-effectiveness ratios of all presumptive treatment strategies were similar. Ivermectin is associated with an incremental cost-effectiveness ratio of 1700 dollars per QALY gained for treatment with 12 mg ivermectin relative to 5 days of albendazole when the prevalence is 10%. Any presumptive treatment strategy is cost-effective when compared with most common medical interventions.

Cost-effectiveness of vaccination versus treatment of influenza in healthy adolescents and adults.

At present time, there is uncertainty regarding whether influenza-like illness in healthy adults is best managed by preventive efforts that use the trivalent influenza vaccine, administration of neuraminidase inhibitors at the onset of illness, or recommendation of supportive care alone at the onset of illness. We conducted a cost-effectiveness analysis that examined these 3 strategies for managing influenza-like illness. Vaccination with inactivated trivalent vaccine would save approximately 25 dollars per person while resulting in a net gain of approximately 3.2 quality-adjusted hours relative to providing treatment with the neuraminidase inhibitor oseltamivir. A quality-adjusted hour is a fraction of a quality-adjusted life-year, which is the equivalent of 1 year lived in perfect health. Treatment with oseltamivir was associated with an incremental cost-effectiveness of approximately 27,619 dollars per quality-adjusted life-year gained relative to providing supportive care. Vaccination is cost-saving relative to providing either treatment with oseltamivir or providing supportive care alone.

The cost-effectiveness of public postsecondary education subsidies.

BACKGROUND: Although educational attainment is a well-recognized covariate of health status, it is rarely thought of as a tool to be used to improve health. Since fewer than 40% of U.S. citizens have a college degree, it may be possible for the government to improve the health status of the population by assuming a larger burden of the cost of postsecondary education. This paper examines the costs and health effects of a government subsidy for public postsecondary education institutions. METHODS: All high school graduates in 1997 were included in a decision analysis model as a hypothetical cohort. Data from the U.S. Department of Education, the World Health Organization, and the National Center for Health Statistics were used as model inputs. Results. Relative to the present educational system, a federal subsidy for public and private colleges equal to the amount now paid by students for tuition and living expenses would save $6,176 and avert 0.0018 of a disability-adjusted life-year (DALY) per person annually if enrollment increased 5%. The overall savings among 1997 high school graduates would be $17.1 billion and 4,992 DALYs would be averted per year relative to the present educational system. If enrollment increased by just 3%, $3,743 would be saved and 0.0011 DALYs would be averted per person. An enrollment increase of 7% would lead to savings of $8,610 and 0.0025 DALYs would be averted per person relative to the present educational system. CONCLUSIONS: If the government were to offer a full subsidy for college tuition at public universities, both lives and money would be saved, so long as enrollment levels increased. Providing a free postsecondary education for students attending public schools may be more cost-effective than most health investments.

Using the years-of-healthy-life measure to calculate QALYs.

BACKGROUND: The quality-adjusted life year (QALY) is an attractive outcome measure because it captures both health-related quality of life (HRQL) and life expectancy in a single metric. We present a method for calculating QALYs that is simple, utilizes data that are free of charge, and may improve consistency in burden-of-disease investigations. METHODS: For purposes of illustration, we calculated the burden of disease due to stroke using two abridged life tables, each adjusted for HRQL. The first life table was generated using all-cause mortality and morbidity data (a reference cohort) and the second was generated using all diseases except stroke (a stroke-free cohort). The difference in total QALYs and in quality-adjusted life expectancy (QALE) was determined by subtraction. RESULTS: Approximately 61,328 (95% CI=60,272, 62,383) QALYs were lost to stroke in the life-table cohort. Stroke is responsible for a decrement of 0.03 years of life expectancy and 0.61 years of QALE in the United States. CONCLUSIONS: The "years of health life"measure affords a rapid, inexpensive, and sensitive means for estimating the burden of disease for local health priorities and may assist research efforts in including QALYs as an outcome measure.

The cost effectiveness of strategies for the treatment of intestinal parasites in immigrants.

BACKGROUND: Currently, more than 600,000 immigrants enter the United States each year from countries where intestinal parasites are endemic. At entry persons with parasitic infections may be asymptomatic, and stool examinations are not a sensitive method of screening for parasitosis. Albendazole is a new, broad-spectrum antiparasitic drug, which was approved recently by the Food and Drug Administration. International trials have shown albendazole to be safe and effective in eradicating many parasites. In the United States there is now disagreement about whether to screen all immigrants for parasites, treat all immigrants presumptively, or do nothing unless they have symptoms. METHODS: We compared the costs and benefits of no preventive intervention (watchful waiting) with those of universal screening or presumptive treatment with 400 mg of albendazole per day for five days. Those at risk were defined as immigrants to the United States from Asia, the Middle East, sub-Saharan Africa, Eastern Europe, and Latin America and the Caribbean. Cost effectiveness was expressed both in terms of the cost of treatment per disability-adjusted life-year (DALY) averted (one DALY is defined as the loss of one year of healthy life to disease) and in terms of the cost per hospitalization averted. RESULTS: As compared with watchful waiting, presumptive treatment of all immigrants at risk for parasitosis would avert at least 870 DALYs, prevent at least 33 deaths and 374 hospitalizations, and save at least $4.2 million per year. As compared with watchful waiting, screening would cost $159,236 per DALY averted. CONCLUSIONS: Presumptive administration of albendazole to all immigrants at risk for parasitosis would save lives and money. Universal screening, with treatment of persons with positive stool examinations, would save lives but is less cost effective than presumptive treatment.