Evaluating network adequacy of oral health services for children on Medicaid in Arizona.

PURPOSE: Inadequate networks can prevent patients from being able to see the providers that they trust and depend upon, especially for children insured through Medicaid. To improve our understanding of poor oral health care outcomes, we conducted a test of network adequacy among Medicaid pediatric dental providers in Arizona through a "secret shopper" phone survey. METHODS: This study tested multiple components of children's access to oral health care, including reliability of provider directory information, appointment availability at the practice level for children covered under Medicaid versus commercial insurance, and compliance with regulatory standards. We contacted individual providers, following a standardized script to schedule a routine appointment on behalf of a 5-year-old patient enrolled in either a Medicaid or commercial plan. We documented the time until the next available appointment, if the practice was reached, and if the practice accepted the specified insurance plan. RESULTS: We identified, catalogued, and attempted to call a total of 185 unique practices across Arizona. In four counties, we were unable to identify a single pediatric oral health provider through health plan directories. We observed minimal differences in appointment wait times between callers with commercial insurance and those insured through Medicaid. CONCLUSIONS: Our findings underscore the need to improve the accessibility of pediatric health services, especially in rural regions. Facilitating access to routine and recommended oral health screenings for children enrolled in Medicaid is imperative to appropriate stewardship and fulfilling our commitment to provide this vital public health resource.

The influence of social determinants of health on epilepsy treatment delays in an Arizona Medicaid population.

OBJECTIVE: The purpose of this study was to better understand the role of social determinants of health (SDoH) in both treatment delays and treatment gaps for individuals with epilepsy (IWE) enrolled in Arizona's Medicaid program using predictive models at the population and individual levels. METHODS: In this retrospective cohort study, two statistical regression models were developed using Arizona Medicaid medical and pharmacy claims records from 2015-2019 and selected census tract-level SDoH data. Three treatment outcomes were defined: timely treatment (treated within thirty days); delayed treatment (treated after thirty days); and untreated. For the first model, least squares regression was used to regress the epilepsy treatment delays on selected SDoH factors at the population-level. For the second model, multinomial logistic regression was used to estimate associations between epilepsy treatment delays and individual-level sociodemographic factors. RESULTS: Of the 5965 IWE identified with a new epilepsy diagnosis during the study period, 43.1% were treated with a mean delay of 180 days. Among the treated population, 42% received timely treatment. A treatment gap of at least 40.6% and potentially up to 56.9% was calculated. Individuals with epilepsy diagnosed in an inpatient setting or in emergency departments were more likely to be treated and receive timely treatment than those diagnosed in an office or clinic setting. Individuals with epilepsy diagnosed in "other" settings were more likely to go untreated or receive delayed treatment than a patient diagnosed in an office or clinic. Compared to IWE aged 31-50 years, IWE aged 0-30 years were more likely to receive timely treatment, IWE aged 51-64 years were more likely to receive delayed treatment, and IWE aged 65 years or older were more likely to go untreated. Widowed IWE were more likely to go untreated relative to single patients. Individuals with epilepsy experiencing homelessness were also more likely to go untreated. Unemployed IWE were more likely to go untreated or receive delayed treatment. Native American IWE were more likely to go untreated compared to White patients. CONCLUSIONS: Treatment gaps and treatment delays are experienced by IWE in the Arizona Medicaid population. The SDoH factors predicted to impact treatment delays include care setting, age, race, marital status, homelessness, and employment.

Excess Medical Care Spending: The Categories, Magnitude, and Opportunity Costs of Wasteful Spending in the United States.

Landmark reports from reputable sources have concluded that the United States wastes hundreds of billions of dollars every year on medical care that does not improve health outcomes. While there is widespread agreement over how wasteful medical care spending is defined, there is no consensus on its magnitude or categories. A shared understanding of the magnitude and components of the issue may aid in systematically reducing wasteful spending and creating opportunities for these funds to improve public health.To this end, we performed a review and crosswalk analysis of the literature to retrieve comprehensive estimates of wasteful medical care spending. We abstracted each source's definitions, categories of waste, and associated dollar amounts. We synthesized and reclassified waste into 6 categories: clinical inefficiencies, missed prevention opportunities, overuse, administrative waste, excessive prices, and fraud and abuse.Aggregate estimates of waste varied from $600 billion to more than $1.9 trillion per year, or roughly $1800 to $5700 per person per year. Wider recognition by public health stakeholders of the human and economic costs of medical waste has the potential to catalyze health system transformation.

Reduction in US Health Care Spending Required to Meet the Institute of Medicine's 2030 Target.

Objectives. To quantify changes in US health care spending required to reach parity with high-resource nations by 2030 or 2040 and identify historical precedents for these changes.Methods. We analyzed multiple sources of historical and projected spending from 1970 through 2040. Parity was defined as the Organisation for Economic Co-operation and Development (OECD) median or 90th percentile for per capita health care spending.Results. Sustained annual declines of 7.0% and 3.3% would be required to reach the median of other high-resource nations by 2030 and 2040, respectively (3.2% and 1.3% to reach the 90th percentile). Such declines do not have historical precedent among US states or OECD nations.Conclusions. Traditional approaches to reducing health care spending will not enable the United States to achieve parity with high-resource nations; strategies to eliminate waste and reduce the demand for health care are essential.Public Health Implications. Excess spending reduces the ability of the United States to meet critical public health needs and affects the country's economic competitiveness. Rising health care spending has been identified as a threat to the nation's health. Public health can add voices, leadership, and expertise for reversing this course.