Policy implications of fixed-to-total-cost ratio variation across rural and urban hospitals.

PURPOSE: Hospitals with lower fixed-to-total-cost ratios may be better positioned to remain financially viable when reducing service volumes required by many value-based payment systems. We assessed whether hospitals in rural areas have higher fixed-to-total-cost ratios, which would tend to create a systematic disadvantage in such an environment. METHODS: Our observational study used a mixed-effects, repeated-measures model to analyze Medicare Hospital Cost Report Information System data for 2011-2020. We included all 4,953 nonfederal, short-term acute hospitals in the United States that are present in these years. After estimating the relationship between volume (measured in adjusted patient days) and patient-care costs in a model that controlled for a small number of hospital characteristics, we calculated fixed-to-total-cost ratios based on our model's estimates. FINDINGS: We found that nonmetropolitan hospitals tend to have higher average fixed-to-total-cost ratios (0.85-0.95) than metropolitan hospitals (0.73-0.78). Moreover, the degree of rurality matters; hospitals in micropolitan counties have lower ratios (0.85-0.87) than hospitals in noncore counties (0.91-0.95). While the Critical Access Hospital (CAH) designation is associated with higher average fixed-to-total-cost ratios, high fixed-to-total-cost ratios are not exclusive to CAHs. CONCLUSIONS: Overall, these results suggest that hospital payment policy and payment model development should consider hospital fixed-to-total-cost ratios particularly in settings where economies of scale are unattainable, and where the hospital provides a sense of security to the community it serves.

Deaths of Despair and Population Aging in Missouri.

Recent declines in life expectancy in the US, especially for middle-aged White persons, have called attention to mortality from deaths of despair - deaths due to alcohol, drugs, and suicide. Using data from the Centers for Disease Control and the U.S. Census Bureau, this paper examined deaths of despair by race/ethnicity, age, cause of death, birth cohort, and sex in Missouri. We focused on Area Agencies on Aging as geographic units of interest to increase usefulness of our findings to public administrators. Deaths of despair began trending up for all age groups beginning in 2007-2009, with the sharpest increases occurring for Black or African American non-Hispanics beginning in 2013-2015. The most dramatic increases occurred for the population age 50-59 in St. Louis City and Area Agency on Aging regions in southern Missouri. For older adults, considerable variation in rates, trends, and cause of deaths of despair is evident across the state.

Understanding contributors to racial and ethnic inequities in COVID-19 incidence and mortality rates.

BACKGROUND: Racial inequities in Coronavirus 2019 (COVID-19) have been reported over the course of the pandemic, with Black, Hispanic/Latinx, and Native American individuals suffering higher case rates and more fatalities than their White counterparts. METHODS: We used a unique statewide dataset of confirmed COVID-19 cases across Missouri, linked with historical statewide hospital data. We examined differences by race and ethnicity in raw population-based case and mortality rates. We used patient-level regression analyses to calculate the odds of mortality based on race and ethnicity, controlling for comorbidities and other risk factors. RESULTS: As of September 10, 2020 there were 73,635 confirmed COVID-19 cases in the State of Missouri. Among the 64,526 case records (87.7% of all cases) that merged with prior demographic and health care utilization data, 12,946 (20.1%) were Non-Hispanic (NH) Black, 44,550 (69.0%) were NH White, 3,822 (5.9%) were NH Other/Unknown race, and 3,208 (5.0%) were Hispanic. Raw cumulative case rates for NH Black individuals were 1,713 per 100,000 population, compared with 2,095 for NH Other/Unknown, 903 for NH White, and 1,218 for Hispanic. Cumulative COVID-19-related death rates for NH Black individuals were 58.3 per 100,000 population, compared with 38.9 for NH Other/Unknown, 19.4 for NH White, and 14.8 for Hispanic. In a model that included insurance source, history of a social determinant billing code in the patient's claims, census block travel change, population density, Area Deprivation Index, and clinical comorbidities, NH Black race (OR 1.75, 1.51-2.04, p<0.001) and NH Other/Unknown race (OR 1.83, 1.36-2.46, p<0.001) remained strongly associated with mortality. CONCLUSIONS: In Missouri, COVID-19 case rates and mortality rates were markedly higher among NH Black and NH Other/Unknown race than among NH White residents, even after accounting for social and clinical risk, population density, and travel patterns during COVID-19.

Impact of Sugar-Sweetened Beverage Warning Labels on Consumer Behaviors: A Systematic Review and Meta-Analysis.

CONTEXT: As a primary source of added sugars, sugar-sweetened beverage consumption contributes to obesity. This study systematically synthesizes the scientific evidence regarding the impact of sugar-sweetened beverage warning labels on consumer behaviors and intentions. EVIDENCE ACQUISITION: A keyword/reference search was performed in 2019 in Cochrane Library, PubMed, Web of Science, CINAHL, Scopus, and Google Scholar. Meta-analysis was conducted in 2020 to estimate the effect of sugar-sweetened beverage warning labels on consumers' purchase decisions. EVIDENCE SYNTHESIS: A total of 23 studies (13 RCTs, 9 nonrandomized experiments, and 1 computer simulation study) met the eligibility criteria and were included. Labels were classified into 6 categories: (1) symbol with nutrient profile, (2) symbol with health effect, (3) text of nutrient profile, (4) text of health effect, (5) graphic with health effect, and (6) graphic with nutrient profile. Compared with the no-label control group, sugar-sweetened beverage warning label use was associated with reduced odds of choosing sugar-sweetened beverages (OR=0.49, 95% CI=0.41, 0.56) and a reduced sugar-sweetened beverage purchase intention (Cohen's d= -0.18, 95% CI= -0.31, -0.06). Across alternative label categories, the graphic with health effect (OR=0.34, 95% CI=0.08, 0.61), text of health effect (OR=0.47, 95% CI=0.39, 0.55), graphic with nutrient profile (OR=0.58, 95% CI=0.36, 0.81), and symbol with health effect (OR=0.67, 95% CI=0.39, 0.95) were associated with reduced odds of choosing sugar-sweetened beverages. CONCLUSIONS: Sugar-sweetened beverage warning labels were effective in dissuading consumers from choosing them. Graphic with health effect labels showed the largest impact. Future studies should delineate the psychosocial pathways linking sugar-sweetened beverage warning labels to purchase decisions, recruit socioeconomically diverse participants, and design experiments in naturalistic settings.

Trends in Hospital Mortality for Uninsured Rural and Urban Populations, 2012-2016.

PURPOSE: Rural-urban health disparities have received increasing scrutiny as rural individuals continue to have worse health outcomes. However, little is known about how insurance status contributes to urban-rural disparities. This study characterizes how rural uninsured patients compare to the urban uninsured, determines whether rurality among the uninsured is associated with worse clinical outcomes, and examines how clinical outcomes based on rurality have changed over time. METHODS: We conducted a retrospective cohort study of the 2012-2016 National Inpatient Sample hospital discharge data including 1,478,613 uninsured patients, of which 233,816 were rural. Admissions were broken into 6 rurality categories. Logistic regression models were used to determine the independent association between rurality and hospital mortality. FINDINGS: Demographic and clinical characteristics differed significantly between rural and urban uninsured patients: rural patients were more often white, lived in places with lower median household income, and were more often admitted electively and transferred. Rurality was associated with significantly higher in-hospital mortality rates (1.44% vs 1.89%, OR 1.32, P < .001). This association strengthened after adjusting for medical comorbidities and hospital characteristics. Further, disparities between urban and rural mortality were found to be growing, with the gap almost doubling between 2012 and 2016. CONCLUSIONS: Rural and urban uninsured patients differed significantly, specifically in terms of race and median income. Among the uninsured, rurality was associated with higher in-hospital mortality, and the gap between urban and rural in-hospital mortality was widening. Our findings suggest the rural uninsured are a vulnerable population in need of informed, tailored policies to reduce these disparities.

Chronic Pain Treatment Strategies in Parkinson's Disease.

Neurological disorders, including Parkinson's disease (PD), have increased in prevalence and are expected to further increase in the coming decades. In this regard, PD affects around 3% of the population by age 65 and up to 5% of people over the age of 85. PD is a widely described, physically and mentally disabling neurodegenerative disorder. One symptom often poorly recognized and under-treated by health care providers despite being reported as the most common non-motor symptom is the finding of chronic pain. Compared to the general population of similar age, PD patients suffer from a significantly higher level and prevalence of pain. The most common form of pain reported by Parkinson's patients is of musculoskeletal origin. One of the most used combination drugs for PD is Levodopa-Carbidopa, a dopamine precursor that is converted to dopamine by the action of a naturally occurring enzyme called DOPA decarboxylase. Pramipexole, a D2 dopamine agonist, and apomorphine, a dopamine agonist, and Rotigotine, a dopamine receptor agonist, have showed efficacy on PD-associated pain. Other treatments that have shown efficacy in treating pain of diverse etiologies are acetaminophen, Nonsteroidal anti-inflammatory drugs (NSAIDs), and cyclooxygenase-2 (COX-2) inhibitors. Opioids and opioid-like medications such as oxycodone, morphine, tramadol, and codeine are also commonly employed in treatment of chronic pain in PD. Other opioid related medications such as Tapentadol, a central-acting oral analgesic with combined opioid and noradrenergic properties, and Targinact, a combination of the opioid agonist oxycodone and the opioid antagonist naloxone have shown improvement in pain. Anticonvulsants such as gabapentin, pregabalin, lamotrigine, carbamazepine and tricyclic antidepressants (TCAs) can be trialed when attempting to manage chronic pain in PD. The selective serotonin and noradrenaline reuptake inhibitors (SNRIs) also possess pain relieving and antidepressant properties, but carry less of the risk of anticholinergic side effects seen in TCAs. Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has been shown in multiple studies to be effective against various types of PD associated pain symptoms. Massage therapy (MT) is one of the most common forms of complementary and alternative medicine. Studies have shown that pressure applied during MT may stimulate vagal activity, promoting reduced anxiety and pain, as well as increasing levels of serotonin. In a survey study of PD patients, rehabilitative therapy and physical therapy were rated as the most effective for pain reduction, though with only temporary relief but these studies were uncontrolled. Yoga has been studied for patients with a wide array of neurological disorders. In summary, PD pathology is thought to have a modulating effect on pain sensation, which could amplify pain. This could help explain a portion of the higher incidence of chronic pain felt by PD patients. A treatment plan can be devised that may include dopaminergic agents, acetaminophen, NSAIDs, opioids, antidepressants, physical therapies, DBS and other options discussed in this review. A thorough assessment of patient history and physical examination should be made in patients with PD so chronic pain may be managed effectively.

Improving Cancer Patients' Insurance Choices (I Can PIC): A Randomized Trial of a Personalized Health Insurance Decision Aid.

BACKGROUND: Many cancer survivors struggle to choose a health insurance plan that meets their needs because of high costs, limited health insurance literacy, and lack of decision support. We developed a web-based decision aid, Improving Cancer Patients' Insurance Choices (I Can PIC), and evaluated it in a randomized trial. MATERIALS AND METHODS: Eligible individuals (18-64 years, diagnosed with cancer for ≤5 years, English-speaking, not Medicaid or Medicare eligible) were randomized to I Can PIC or an attention control health insurance worksheet. Primary outcomes included health insurance knowledge, decisional conflict, and decision self-efficacy after completing I Can PIC or the control. Secondary outcomes included knowledge, decisional conflict, decision self-efficacy, health insurance literacy, financial toxicity, and delayed care at a 3-6-month follow-up. RESULTS: A total of 263 of 335 eligible participants (79%) consented and were randomized; 206 (73%) completed the initial survey (106 in I Can PIC; 100 in the control), and 180 (87%) completed a 3-6 month follow-up. After viewing I Can PIC or the control, health insurance knowledge and a health insurance literacy item assessing confidence understanding health insurance were higher in the I Can PIC group. At follow-up, the I Can PIC group retained higher knowledge than the control; confidence understanding health insurance was not reassessed. There were no significant differences between groups in other outcomes. Results did not change when controlling for health literacy and employment. Both groups reported having limited health insurance options. CONCLUSION: I Can PIC can improve cancer survivors' health insurance knowledge and confidence using health insurance. System-level interventions are needed to lower financial toxicity and help patients manage care costs. IMPLICATIONS FOR PRACTICE: Inadequate health insurance compromises cancer treatment and impacts overall and cancer-specific mortality. Uninsured or underinsured survivors report fewer recommended cancer screenings and may delay or avoid needed follow-up cancer care because of costs. Even those with adequate insurance report difficulty managing care costs. Health insurance decision support and resources to help manage care costs are thus paramount to cancer survivors' health and care management. We developed a web-based decision aid, Improving Cancer Patients' Insurance Choices (I Can PIC), and evaluated it in a randomized trial. I Can PIC provides health insurance information, supports patients through managing care costs, offers a list of financial and emotional support resources, and provides a personalized cost estimate of annual health care expenses across plan types.

Comparing Rural and Urban Medicare Advantage Beneficiary Characteristics.

Purpose: The Medicare Advantage (MA) program allows Medicare beneficiaries to receive benefits from private plans rather than from traditional fee-for-service (FFS) Medicare. Little is known about the rural and urban differences in the populations that enroll in the MA program, and these differences may be important for setting policy. This brief uses data from the 2012-13 Medicare Current Beneficiary Survey (MCBS) to describe these differences, and combined with county-level data on MA issuer participation, this dataset also allows us to assess the degree to which issuers may engage in selective MA market entry on the basis of demographic characteristics. Key Findings: (1) Rural and urban MA and FFS populations did not differ much on average by any characteristics reported in the data, including age, self-reported health status, cancer diagnosis, smoking status, Medicaid status, or by other variables assessing frailty and presence of chronic conditions. (2) Most measures of access were similar across rural and urban respondents. However, in terms of cost, urban enrollees were less likely to pay an additional premium (beyond Medicare Part A and B) to obtain MA coverage: 42 percent reported doing so in urban places, while 54 percent did so in rural places. (3) While rurality on its own was often a significant predictor of lower issuer participation in a county's MA market, the addition of other demographic characteristics did not influence the prediction. In other words, we found no evidence, based upon MCBS data, that issuers exclude rural counties due to other demographics.

Repeat reports among cases reported for child neglect: A scoping review.

BACKGROUND: In the United States (US), child welfare policy prioritizes prevention of future harm (e.g., repeat reports) after a report of maltreatment. The majority of reports include some form of child neglect, but no prior review of the recurrence literature has focused on neglect. OBJECTIVE: This review sought to help guide future research, policy and practice by summarizing recurrence findings related to child neglect with attention to the broader ecological context in which maltreatment occurs. PARTICIPANTS: The final review included 34 US studies of maltreatment recurrence. Twenty-eight studies compared child neglect with at least one other form of maltreatment and six studies examined recurrence among neglect cases. METHODS: Eleven online databases were searched to locate relevant empirical studies. This review attended specifically to contextualizing findings according to other modifiable factors as well as methodological variation. A scoping review approach was used to summarize findings. RESULTS: Of the 28 studies comparing neglect to other types of maltreatment, 14 found increased risk for neglect, 12 found no association, and two reported a lower risk. When significant, the effect size ranged from 10% to over three times higher risk for neglect. Poverty or material need was the most commonly included control (15 studies), with two thirds finding that lower resource families had higher risk. CONCLUSION: Methodological variability across studies confounds current ability to guide practice or policy. More research is needed that can replicate and extend findings with comparable samples and model specifications that take into account the regional and policy context.

Medicaid savings from the Contraceptive CHOICE Project: a cost-savings analysis.

BACKGROUND: Forty-five percent of births in the United States are unintended, and the costs of unintended pregnancy and birth are substantial. Clinical and policy interventions that increase access to the most effective reversible contraceptive methods (intrauterine devices and contraceptive implants) have potential to generate significant cost savings. Evidence of cost savings for these interventions is needed. OBJECTIVE: The purpose of this study was to conduct a cost-savings analysis of the Contraceptive CHOICE Project, which provided counseling and no-cost contraception, to demonstrate the value of investment in enhanced contraceptive care to the Missouri Medicaid program. STUDY DESIGN: The Contraceptive CHOICE Project was a prospective cohort study of 9256 reproductive-age women who were enrolled between 2007 and 2011. Study follow-up was completed October 2013. This analysis includes 5061 Contraceptive CHOICE Project participants who were current Missouri Medicaid beneficiaries or were uninsured and reported household incomes <201% of the federal poverty line. We created a simulated comparison group of women who were receiving care through the Missouri Title X program and modeled the contraception and pregnancy outcomes that would have occurred in the absence of the Contraceptive CHOICE Project. Data about contraceptive use for the comparison group (N=5061) were obtained from the Missouri Title X program and adjusted based on age, race, ethnicity, and income. To make an accurate comparison that would account for the difference in the 2 populations, we used our simulation model to estimate total Contraceptive CHOICE Project costs and total comparison group costs. We reported all costs in 2013 dollars to account for inflation. RESULTS: Among the Contraceptive CHOICE Project participants who were included, the uptake of intrauterine devices and implants was 76.1% compared with 4.8% among the comparison group. The estimated contraceptive cost for the simulated Contraceptive CHOICE Project group was $4.0 million vs $2.3 million for the comparison group. The estimated numbers of unintended pregnancies and births averted among the simulated Contraceptive CHOICE Project group compared with the comparison group were 927 and 483, respectively, which represented a savings in pregnancy and maternity care of $6.7 million. We estimated that the total cost savings for the state of Missouri attributable to the Contraceptive CHOICE Project was $5.0 million (40.7%) over the project duration. CONCLUSION: A program providing counseling and no-cost contraception yields substantial cost savings because of the increased uptake of highly effective contraception and consequent averted unintended pregnancy and birth.

Health Insurance Marketplaces: Issuer Participation and Premium Trends in Rural Places, 2018.

Purpose: Since 2014, when the Health Insurance Marketplaces (HIMs) authorized by the Patient Protection and Affordable Care Act (PPACA) were implemented, considerable premium changes have been observed in the marketplaces across the 50 states and the District of Columbia. This policy brief assesses the changes in average HIM plan premiums from 2014 to 2018, before accounting for subsidies, with an emphasis on the widening variation across rural and urban places, providing information during Congressional debates on the future of the program. Key Findings: (1) Insurance issuers reduced HIM participation across both rural and urban places (with 1.7 and 2.2 issuers, respectively), both in states that expanded Medicaid under the PPACA and in non-expansion states. (2) The average adjusted premium (before premium subsidy) continues to rise across all of the above categories, and the gap has widened between the 32 Medicaid expansion and 19 non-expansion states. Average premiums in rural counties are higher than average premiums in urban counties in both expansion and non-expansion states (by $43 per month and $27 per month, respectively). (3) Prior trends of lower premium changes at greater population densities are no longer observed in the 2018 data. (4) In 2018, 1,581 counties (52 perent) have one participating insurance issuer. Nationwide, 42 percent of all urban counties and 55 percent of all rural counties only have one issuer.

Health Insurance and Poverty in Trajectories of Out-of-Pocket Expenditure among Low-Income Middle-Aged Adults.

OBJECTIVE: To assess the effects of longitudinal patterns of health insurance and poverty on out-of-pocket expenditures among low-income late middle-aged adults. DATA SOURCES/STUDY SETTING: Six waves (2002-2012) of the Health and Retirement Study, in combination with RAND Center for the Study of Aging data, were used. STUDY DESIGN: A random coefficient regression analysis was conducted in a multilevel growth curve framework to estimate the impact of health insurance and poverty on out-of-pocket expenditures. PRINCIPAL FINDINGS: At baseline, individuals with private insurance or unstable coverage were more likely to have out-of-pocket expenditures and financial burdens than public insurance holders. Over time, the poor who had no insurance, unstable coverage, or insurance type change had higher out-of-pocket expenditures; private coverage holders had higher odds of financial burden. CONCLUSIONS: Unstable insurance coverage had a discernible effect on the long-term, out-of-pocket expenditures among low-income adults. Findings have an important policy implication to protect poor late middle-aged population; as this population enters old age, the high financial burden it faces may exacerbate persistent socioeconomic health disparity among older people with unstable insurance coverage.

Diagnostic difficulties in the radiological assessment of subscapularis tears.

BACKGROUND: Radiological evaluation of rotator cuff tears are sensitive and specific. Accuracy may be low in diagnosing subscapularis tears. MATERIALS AND METHODS: We retrospectively reviewed shoulder arthroscopies performed by two surgeons over 45 months. We reviewed patients who had subscapularis repairs and their preoperative imaging. RESULT: 286 cases had imaging (193 MRIs, 93 USS) with 77 subscapularis repairs. MRI suggested 31 tears, arthroscopy confirmed 16 (30% sensitivity, 89% specificity). USS suggested 6 tears, arthroscopy confirmed 4 (13% Sensitivity, 97% specificity). DISCUSSION: Results demonstrated low accuracy for preoperative radiological subscapularis tear assessment. This has logistical, diagnostic and implications on treatment.

A Research Note on Challenges of Cross-National Aging Research: An Example of Productive Activities Across Three Countries.

Cross-national studies can elucidate the influence of sociocultural contexts on a wide variety of aging issues. This study aims to develop methods for using secondary data for cross-national comparisons using productive activities as an example. The study also identifies challenges in conducting cross-national research. Using the national representative data from the United States, China, and South Korea, this study developed a sequence of methods for cross-national analysis. Results indicate that productive activities vary by country, and this variation could possibly be due to the differences in sociocultural context and variations in operationalization and measurement. Given the difficulty of making decisions and drawing conclusions across different cultural contexts, team members must include scholars who are familiar with the culture and language of the region of study. Researchers also need to determine whether data sets are valid for cross-national comparisons and understand the limitations of the comparisons, given constraints in the data.

Impact of insurance coverage on utilization of pre-exposure prophylaxis for HIV prevention.

Pre-exposure prophylaxis (PrEP) can reduce U.S. HIV incidence. We assessed insurance coverage and its association with PrEP utilization. We reviewed patient data at three PrEP clinics (Jackson, Mississippi; St. Louis, Missouri; Providence, Rhode Island) from 2014-2015. The outcome, PrEP utilization, was defined as patient PrEP use at three months. Multivariable logistic regression was performed to determine the association between insurance coverage and PrEP utilization. Of 201 patients (Jackson: 34%; St. Louis: 28%; Providence: 28%), 91% were male, 51% were White, median age was 29 years, and 21% were uninsured; 82% of patients reported taking PrEP at three months. Insurance coverage was significantly associated with PrEP utilization. After adjusting for Medicaid-expansion and individual socio-demographics, insured patients were four times as likely to use PrEP services compared to the uninsured (OR: 4.49, 95% CI: 1.68-12.01; p = 0.003). Disparities in insurance coverage are important considerations in implementation programs and may impede PrEP utilization.

2016 Rural Enrollment in Health Insurance Marketplaces, by State.

Purpose. In this brief, cumulative county-level enrollment in Health Insurance Marketplaces (HIMs) through March 2016 is presented for state HIMs operated as Federally Facilitated Marketplaces (FFMs) and for those operated as Federally Supported State-Based Marketplaces (FS-SBMs). Enrollment rates in metropolitan and non-metropolitan areas of each state, defined as the percentage of "potential market" participants selecting plans, are presented. Monitoring annual enrollment rates provides a gauge of how well state outreach and enrollment efforts are proceeding and helps identify states with strong non-metropolitan enrollment as models for other states to emulate. Key Findings. (1) Cumulative enrollment in the HIMs in non-metropolitan counties has grown to about 1.4 million in 2016, representing 40 percent of the potential market in non-metropolitan counties. (2) Estimated enrollment rates varied considerably across the United States. In particular, estimated enrollment rates in non-metropolitan areas were substantially higher than in metropolitan areas in Hawaii, Illinois, Michigan, Montana, Maine, Nebraska, Wisconsin, and Wyoming. (3) The states that achieved the highest absolute non-metropolitan enrollment totals were Michigan, Georgia, Missouri, North Carolina, Texas, and Wisconsin. Of these, Michigan, North Carolina, and Wisconsin also had non-metropolitan enrollment rates above 50 percent. (4) About half of all states, evenly distributed by Medicaid expansion status but mostly concentrated in the Midwestern census region, had higher enrollment growth in non-metropolitan areas from 2015 to 2016, and in fact aggregated non-metropolitan growth was greater than metropolitan growth in both expansion categories.

Changing Rural and Urban Enrollment in State Medicaid Programs.

Purpose. From October 2013­before implementation of the Affordable Care Act (ACA)­to November 2016, Medicaid enrollment grew by 27 percent. However, very little attention has been paid to date to how changes in Medicaid enrollment vary within states across the rural-urban continuum. This brief reports and analyzes changes in enrollment in metropolitan, micropolitan, and rural (noncore) areas in both expansion states (those that used ACA funding to expand Medicaid coverage) and nonexpansion states (those that did not use ACA funding to expand Medicaid coverage). The findings suggest that growth has been uneven across rural-urban geography, and that Medicaid enrollment growth is lower in rural counties, particularly in nonexpansion states. Key Findings. (1) Medicaid growth rates in metropolitan counties in nonexpansion states from 2012 to 2015 were twice as large as in rural counties (14 percent compared to 7 percent). (2) In contrast, the differential in growth rates between metropolitan, micropolitan, and rural counties was much less dramatic in expansion states (growth rates of 43 percent, 38 percent, and 38 percent, respectively). (3) Analysis at the state level shows much variability across the states, even when controlling for expansion status. For example, some states with an above-average rural population, such as Tennessee and Idaho, had higher-than-average enrollment increases, with strong rural increases, while other states with similar proportions of rural residents, such as Nebraska, Oklahoma, Maine, and Wyoming, experienced enrollment decreases in micropolitan and/or rural counties. (4) States' pre-ACA Medicaid eligibility levels for parents and children affected the potential for growth. For example, some states that had higher eligibility levels (e.g., Maryland and Illinois) experienced lower Medicaid growth rates from 2012 to 2015, in part because their baseline enrollment was higher. (5) In the expansion states of Colorado and Nevada, which both have State-Based Marketplaces (SBMs), enrollment increases were over four times the overall average.