Uninsured Adults Research Articles

Tobacco Product Use and Cessation Indicators Among Adults - United States, 2018.

Cigarette smoking is the leading cause of preventable disease and death in the United States (1). The prevalence of adult cigarette smoking has declined in recent years to 14.0% in 2017 (2). However, an array of new tobacco products, including e-cigarettes, has entered the U.S. market (3). To assess recent national estimates of tobacco product use among U.S. adults aged ≥18 years, CDC, the Food and Drug Administration (FDA), and the National Cancer Institute analyzed data from the 2018 National Health Interview Survey (NHIS). In 2018, an estimated 49.1 million U.S. adults (19.7%) reported currently using any tobacco product, including cigarettes (13.7%), cigars (3.9%), e-cigarettes (3.2%), smokeless tobacco (2.4%), and pipes* (1.0%). Most tobacco product users (83.8%) reported using combustible products (cigarettes, cigars, or pipes), and 18.8% reported using two or more tobacco products. The prevalence of any current tobacco product use was higher in males; adults aged ≤65 years; non-Hispanic American Indian/Alaska Natives; those with a General Educational Development certificate (GED); those with an annual household income <$35,000; lesbian, gay, or bisexual adults; uninsured adults; those with a disability or limitation; and those with serious psychological distress. The prevalence of e-cigarette and smokeless tobacco use increased during 2017-2018. During 2009-2018, there were significant increases in all three cigarette cessation indicators (quit attempts, recent cessation, and quit ratio). Implementing comprehensive population-based interventions in coordination with regulation of the manufacturing, marketing, and distribution of all tobacco products can reduce tobacco-related disease and death in the United States (1,4).

Cost-effectiveness of a comprehensive immunization program serving high-risk, uninsured adults

Despite the numerous social and economic benefits of vaccination, adult immunization rates fall far short of recommended levels costing the United States $9 billion annually in health care expenditures and reduced productivity. While it is well recognized that childhood immunization is highly cost-effective, the economic impact of adult immunization programs varies by disease and is influenced by population demographics.This study aimed to assess the cost-effectiveness of a comprehensive adult immunization program serving high-need populations delivered by a local health department (LHD) in partnership with community organizations.We modeled incremental cost-effectiveness taking the payer perspective of each vaccine separately in simulated cohorts of 100,000 over a 20-year horizon using data provided by the LHD and data from the published literature. We adjusted the results to align with actual program delivery and used them to estimate an incremental cost-effectiveness ratio (ICER) for the entire program. We assessed the effects of varying our base model parameters in univariate sensitivity analyses. We discounted benefits and life years saved (LYS) at 3% and adjusted results to 2016 US$.Four of seven disease models were cost-effective (using a $100,000 CE threshold) with ICERS ranging from $14,260 to $79,022/LYS. Sensitivity analyses did not substantially impact the results. The ICER for program as a whole was $67,940/LYS. A community-delivered comprehensive immunization program serving uninsured, low income, high-risk adults is a cost-effective investment even when most do not receive the full regimen of some vaccines.

The individual welfare effects of the Affordable Care Act for previously uninsured adults.

The Affordable Care Act (ACA) improved welfare by expanding, subsidizing, and standardizing healthcare coverage. At the same time, the law also penalizes the remaining uninsured and establishes a benchmark private policy that charges premiums and cost-sharing expenses in the non-group market. This paper introduces a conceptual and empirical framework for evaluating the net effects of ACA coverage expansions for the individual welfare of previously uninsured adults. Using restricted-access data from the 2010-2012 Medical Expenditure Panel Survey, I evaluate the short-term welfare effect as a function of health and non-medical consumption. I simulate post-ACA insurance status then evaluate the change in expected medical consumption and the utility of consumption by estimating parameter values for a generalized gamma distribution of the ex-ante spread of healthcare and medical spending for each person. The ACA generates a modest net improvement in individual welfare on average (+ $91). While low-income individuals realize gains (+ $539), all other income-groups realize increasingly large losses. The uninsured majority (65%) realize average losses (- $158). Medicaid beneficiaries realize substantial gains (+ $1309). While in most specifications, exchange enrollees realize average gains (+ $146), just under a quarter (24%) realizes any improvement. The chronically-ill realize substantial gains (+ $1065). The non-chronically-ill majority (71%) realize average losses (- $312). Despite weakly lower risk premiums (- $28), medical spending increases in catastrophic scenarios on average. The ACA improves the welfare of some, especially the low-income and chronically-ill. Medicaid generates unequivocal gains for beneficiaries. Most previously uninsured adults remain uninsured, some of whom pay a penalty. The subsidized cost of ACA private insurance outweighs its benefits for most exchange enrollees.

Examining the Prevalence of Adverse Childhood Experiences and Associated Cardiovascular Disease Risk Factors Among Low-Income Uninsured Adults.

Adverse childhood experiences (ACEs) are linked to poor adult health outcomes, including cardiovascular disease. However, little is known about its prevalence, specifically in low-income populations. The objective of this study was to estimate the extent of ACEs in a low-income, nonclinical, uninsured adult population and assess the relationship between ACEs and cardiovascular disease risk factors. This study leverages the OHIE's (Oregon Health Insurance Experiment) study population, uninsured adults who were randomly selected to apply for Medicaid, and data collected through in-person health screenings. We objectively measured obesity, cholesterol, blood pressure, and blood sugar. Smoking, physical activity, and history of chronic disease were self-reported. Independent variables were the 10-item ACEs questions covering neglect, abuse, and household dysfunction. The sample consisted of 12 229 low-income, nonelderly uninsured adults who participated in the OHIE health screenings from 2009 to 2010. A total of 5929 (48%) returned a follow-up survey reporting ACEs in 2012. ACEs were more prevalent in low-income adults compared with previous estimates in a general clinical population, with notably high rates of emotional abuse, emotional neglect, and household dysfunction. ACEs were statistically associated with higher rates of obesity, smoking, and physical inactivity, but not high cholesterol or diabetes mellitus. We detected a strong relationship between ACEs and a self-reported history of a hypertension diagnosis but no statistically significant differences in being hypertensive. This study design allowed us to assess the prevalence of ACEs among uninsured low-income adults and the association between ACEs and clinical indicators of cardiovascular disease risk that are difficult to ordinarily observe. Low-income adults have high rates of ACEs than previous prevalence estimates and ACEs were associated with higher rates of multiple cardiovascular disease risk factors. As states continue to expand Medicaid to the previously uninsured, providers may want to consider incorporating trauma-based approaches to care delivery.

Who Are the Remaining Uninsured Sexual Minority Adults Under the Affordable Care Act?

Purpose: The study objectives were to estimate the size of and to describe the population that remains uninsured in the United States by sexual orientation. Methods: Data on nonelderly adults came from the 2016 and 2017 National Health Interview Survey. We used descriptive statistics and multivariable logistic regression to identify the risk factors for uninsurance by sexual orientation. Results: Uninsured sexual minority adults were significantly more likely to be 26-34 years, female, noncitizens, living with an unmarried partner, and living in the Midwest and southern United States. Conclusions: Health insurance enrollment campaigns should target specific subgroups to close coverage gaps for sexual minority individuals.

Insurance Loss in the Era of the Affordable Care Act: Association With Access to Health Services.

Every year, millions of Americans lose their health insurance and remain uninsured for various reasons, potentially impacting access to medical services. To examine trends in health insurance loss in the periods shortly before and after implementation of Patient Protection and Affordable Care Act (ACA) and to assess the association of past-year health insurance loss with access to health services and medications. Trends in health insurance loss were examined in 176,961 nonelderly adult participants of the National Health Interview Survey 2011-2017-a representative cross-sectional annual survey of US general population. Multivariable logistic regression models were used to examine access to health services and medications. Loss of private insurance or Medicaid in the past year; use of emergency room services and hospitalizations; contact with medical providers; affording medical care or medications; cost-related medication nonadherence. Private health insurance loss decreased from 3.9%-4.0% in 2011-2013 to 2.7% to 3.1% in 2014-2017 (P<0.001); Medicaid loss decreased from 8.5%-8.9% to 4.6%-6.4% in this period (P<0.001). Nevertheless, as late as 2017, ∼6 million uninsured adults reported having lost private insurance or Medicaid in the past year. Loss of either type of health insurance was associated with lower odds of accessing medical providers, but higher odds of not affording medical care and poor adherence to medication regimens to save costs. Implementation of ACA was associated with lower risk of health insurance loss. Nevertheless, health insurance loss remains a major barrier to accessing health services and prescribed medications.

A model for geographic and sociodemographic access to care disparities for adults with congenital heart disease.

Follow-up at a regional adult congenital heart disease (ACHD) center is recommended for all ACHD patients at least once per the 2018 ACC/AHA guidelines. Other specialties have demonstrated poorer follow-up and outcomes correlating with increased distance from health care providers, but driving time to regional ACHD centers has not been examined in the US population. To identify and characterize potential disparities in access to ACHD care in the US based on drive time to ACHD centers and compounding sociodemographic factors. Mid- to high-volume ACHD centers with ≥500 outpatient ACHD visits and ≥20 ACHD surgeries annually were included based on self-reported, public data. Geographic Information System mapping was used to delineate drive times to ACHD centers. Sociodemographic data from the 2012-2016 American Community Survey (US Census) and the Environmental Systems Research Institute were analyzed based on drive time to nearest ACHD center. Previously established CHD prevalence estimates were used to estimate the similarly located US ACHD population. Nearly half of the continental US population (45.1%) lives >1hour drive to an ACHD center. Overall, 39.7% live 1-4hours away, 3.4% live 4-6hours away, and 2.0% live >6hours away. Hispanics were disproportionately likely to live a >6hour drive to a center (p<.001). Compared to people with <1hour drive, those living >6hours away have higher proportions of uninsured adults (29% vs. 18%; p<.001), households below the federal poverty level (19% vs. 13%; p<.001), and adults with less than college education (18% vs. 12%; p<.001). We estimate that ~45% of the continental US population lives >1hour to an ACHD center, with 5.4% living >4hours away. Compounding barriers exist for Hispanic, uninsured, lower socioeconomic status, and less-educated patients. These results may help drive future policy changes to improve access to ACHD care.

National declines in the percentages of uninsured among adults aged 18–64 years with active epilepsy, 2010 and 2013 to 2015 and 2017—U.S. National Health Interview Survey

Epilepsy is more common among children and adults living in households at lowest incomes. Like those living with any complex chronic condition, people with epilepsy need quality healthcare to improve their health and social outcomes. The purpose of this study was to use the latest national data to provide updated estimates of the percentages of adults aged 18–64 years with active epilepsy who were uninsured in 2010, 2013, 2015, and 2017 and to examine changes in health insurance coverage during these years. We analyzed nationally representative samples of adults (aged 18–64 years) from the 2010, 2013, 2015, and 2017 National Health Interview Survey (NHIS). We used a validated epilepsy surveillance case definition to classify adults as having active epilepsy during 2010 and 2013 (n = 507) and during 2015 and 2017 (n = 582). We used the NHIS recode variables available in each year that account for a series of questions posed to respondents to confirm coverage and that ultimately classify respondents with different healthcare coverage types. Overall, the percentage of uninsured adults among respondents aged 18–64 years with active epilepsy decreased by more than half (59%), from 17.7% (95% confidence interval [CI] = 13.6%–22.7%) in 2010 and 2013 to 7.3% (95% CI = 4.8%–10.7%) in 2015 and 2017. The decrease in the percentage of uninsured adults with active epilepsy after 2010 and 2013 was balanced by a similar increase in public insurance coverage and private insurance coverage in 2015 and 2017.Epilepsy stakeholders can ensure that all uninsured adults with epilepsy obtain access to health insurance coverage. National Health Interview Survey data on epilepsy, when available, can be used to monitor trends in insurance status in the new decade.

Variations in Screening Quality in a Federal Colorectal Cancer Screening Program for the Uninsured.

IntroductionScreening can decrease colorectal cancer incidence and mortality and is recommended in clinical practice guidelines. Poor quality of colorectal cancer screening can negate the benefit of screening. The objective of this study was to assess the quality of screening services provided by the Centers for Disease Control and Prevention’s Colorectal Cancer Control Program from July 2009 through June 2015.MethodsWe collected data from the program’s 29 grantees, funded to provide colorectal cancer screening and diagnostic services to asymptomatic, low-income, and underinsured or uninsured adults aged 50 to 64. We collected data on the dates and results of all screening and diagnostic tests and, for colonoscopies, on whether the cecum was reached, whether bowel preparation was adequate, and endoscopists’ recommendations for the next test.ResultsOverall, 82.9% (range among grantees, 50.0%–97.2%) of positive FOBTs/FITs were followed up by colonoscopy; 95.2% of colonoscopies occurred within 180 days of the positive stool test. Cecal intubation rates ranged among grantees from 94.2% to 100%. Adenoma detection rates met recommended threshold levels for almost all grantees. Recommendations for rescreening and surveillance intervals deviated from guidelines in both directions. Of clients with normal colonoscopies, 85.3% (range, 37.7%–99.7%) were told to return in 10 years, as recommended in national guidelines. Of clients with advanced adenomas, 55.2% (range, 20.0%–84.6%) were told to return in 3 years as recommended, 25.4% (range, 3.8%–56.6%) in 5 or more years, and 18.6% (range, 0%–47.2%) in less than 3 years.ConclusionAlthough overall screening quality was good, it varied considerably. Ongoing monitoring to identify performance problems is essential for all colorectal cancer screening activities, so that efforts designed to improve performance can be targeted to individual clinicians.

Timely Outpatient Follow-up Is Associated with Fewer Hospital Readmissions among Patients with Behavioral Health Conditions.

Hospital readmissions contribute to high health care costs and are an indicator of poor performance. Reducing readmissions through reconnecting patients to primary care after hospitalization is a solution that is particularly relevant to complex patients with behavioral health conditions. We therefore aimed to examine the rate of follow-up visits among patients with behavioral health conditions and to assess the impact of this visit on the subsequent rate of readmission. In this retrospective, observational study, we analyzed data from low-income uninsured adults with behavioral health conditions (n = 1905) enrolled in a health care coverage program implemented by a California County from 2012 to 2013. We used administrative encounter and eligibility data and 2 logistic regression models to predict the (1) likelihood of a timely follow-up outpatient visit and (2) likelihood of a readmission given a timely outpatient visit. Our outcomes were to calculate the marginal effects of an outpatient visit within 15 days and a readmission within 30 days of the index admission. The 15-day follow-up visit rate was 42% and readmission rate was 13%. Higher severity of illness (2.5%; P = .004; 95% CI, 0.01-0.04) and prior visits to providers (5.8%; P = .000; 95% CI, 0.04-0.08) increased the probability of a follow-up visit within 15 days. Follow-up visits (-2.5%; P = .021; 95% CI, -0.05-0.00) and a shorter index admission (0.5%; P = .039; 95% CI, 0.00-0.01) also reduced the risk of 30-day readmissions. The findings provide evidence that timely linking of behavioral health patients to outpatient care after hospitalization is an effective care transition strategy, as it is likely to reduce readmission rates.

Identification of Factors Associated With Variation in US County-Level Obesity Prevalence Rates Using Epidemiologic vs Machine Learning Models

Obesity is a leading cause of high health care expenditures, disability, and premature mortality. Previous studies have documented geographic disparities in obesity prevalence. To identify county-level factors associated with obesity using traditional epidemiologic and machine learning methods. Cross-sectional study using linear regression models and machine learning models to evaluate the associations between county-level obesity and county-level demographic, socioeconomic, health care, and environmental factors from summarized statistical data extracted from the 2018 Robert Wood Johnson Foundation County Health Rankings and merged with US Census data from each of 3138 US counties. The explanatory power of the linear multivariate regression and the top performing machine learning model were compared using mean R2 measured in 30-fold cross validation. County-level demographic factors (population; rural status; census region; and race/ethnicity, sex, and age composition), socioeconomic factors (median income, unemployment rate, and percentage of population with some college education), health care factors (rate of uninsured adults and primary care physicians), and environmental factors (access to healthy foods and access to exercise opportunities). County-level obesity prevalence in 2018, its association with each county-level factor, and the percentage of variation in county-level obesity prevalence explained by linear multivariate and gradient boosting machine regression measured with R2. Among the 3138 counties studied, the mean (range) obesity prevalence was 31.5% (12.8%-47.8%). In multivariate regressions, demographic factors explained 44.9% of variation in obesity prevalence; socioeconomic factors, 33.0%; environmental factors, 15.5%; and health care factors, 9.1%. The county-level factors with the strongest association with obesity were census region, median household income, and percentage of population with some college education. R2 values of univariate regressions of obesity prevalence were 0.238 for census region, 0.218 for median household income, and 0.160 for percentage of population with some college education. Multivariate linear regression and gradient boosting machine regression (the best-performing machine learning model) of obesity prevalence using all county-level demographic, socioeconomic, health care, and environmental factors had R2 values of 0.58 and 0.66, respectively (P < .001). Obesity prevalence varies significantly between counties. County-level demographic, socioeconomic, health care, and environmental factors explain the majority of variation in county-level obesity prevalence. Using machine learning models may explain significantly more of the variation in obesity prevalence..

Access to Federally Qualified Health Centers and Emergency Department Use Among Uninsured and Medicaid-insured Adults: California, 2005 to 2013.

While improved access to safety net primary care providers, like federally qualified health centers (FQHCs), is often cited as a route to alleviate potentially preventable emergency department (ED) visits, no studies have longitudinally established the impact of improving access to FQHCs on ED use among Medicaid-insured and uninsured adults. We aimed to determine whether improved access to FQHCs was associated with lower ED use by uninsured and Medicaid-insured adults. Using data from the Uniform Data System, U.S. Census Bureau, and California Office of Statewide Health Planning & Development, we conducted a longitudinal analysis of 58 California counties from 2005 to 2013. For each county-year observation, we employed three measures of FQHC access: geographic density of FQHCs (delivery sites per 100 square miles), FQHCs per county resident (delivery sites per 100,000 county residents), and the proportion of Medicaid-insured or uninsured residents ages 19 to 64 years that utilized FQHCs. We then used a fixed-effects model to examine the impact of changes in the measures of FQHC access on ED visit rates by Medicaid-insured or uninsured adults in each county. Increasing geographic density of FQHCs was associated with a 26% to 35% decrease in ED use by uninsured but not Medicaid-insured patients. Increasing numbers of clinics per county resident and higher percentages of Medicaid-insured and uninsured adults seen at FQHCs were not associated with reduced rates of ED use among either uninsured or Medicaid-insured adults. We were unable to detect a consistent association between our measures of FQHC access and ED use by Medicaid-insured and uninsured nonelderly California adults, underscoring the importance of investigating additional drivers to reduce ED use among these vulnerable patient populations.

Impact of healthcare reform on the payer mix among young adult emergency department utilizers across the United States (2005-2015).

Before the patient protection and affordable care act (ACA), young adults (20 to 34) had the highest uninsured rates in the United States (US) and frequently sought care in emergency departments (EDs).We aimed to determine if there was a measurable effect of expanded coverage, specifically the dependent coverage provision and Medicaid expansion, on the payer mix of young adults in EDs.We performed a retrospective cross-sectional study of ED utilization among young adults across the US using the national hospital ambulatory medical care survey (NHAMCS) (2005–2015).We examined the effect of health reform changes on the prevalence and odds of having an insurance type among ED utilizers (19–30) in 3 time periods (2005–2010), (2011–2013), and (2014–2015). Additionally, we compared the national and ED payer mix proportions among 19 to 25 and 26 to 30-year-olds.Our results indicate significant proportional changes in the national and ED payer mix relative to a pre-ACA time period. The 2 greatest changes to the national payer mix were the reduction in the proportion of uninsured/self-payers and the increase in the proportion covered by Medicaid. Furthermore, the dependent coverage provision was effective in increasing the proportion of those (19–25) utilizing private insurance coverage. Lastly, there is now a lower proportion of uninsured young adults in the ED, and an increased proportion of those covered by Medicaid.The change in payer mix among young adults has potential long-term consequences for the provision of emergency department services in the U.S.

Medication adherence and barriers among low-income, uninsured patients with multiple chronic conditions.

Poor adherence to long-term therapies is a public health concern that affects all populations. Little is known about the context of adherence in chronic diseases for the uninsured population in the United States. To evaluate medication adherence and barriers among low-income, uninsured adults recently initiating new therapy for a chronic disease. A cross-sectional study in two Community Health Centers located in Chatham County, Georgia, was performed between September and December 2015. Patients, randomly selected for inclusion in the study, were eligible if they had been prescribed medication for 2 or more chronic conditions and had recently started a new medication regimen. The Morisky-Green-Levine questionnaire was used to assess adherence. Potential barriers were analyzed using the Multidimensional Model proposed by the World Health Organization-social and economic, healthcare team and system-related, condition-related, therapy-related, and patient-related factors. Multivariate logistic regression models were used to analyze factors associated with non-adherence. A total of 150 participants were interviewed at 6 months after treatment initiation. Non-adherence was reported by 52% of the participants. Higher adjusted odds of non-adherence were observed in participants who did not receive information about their medications (adjusted odds ratio [AOR] = 2.40, 95% confidence interval [CI] = 1.01-5.74), did not regularly visit a primary health-care provider (AOR = 2.74, 95% CI = 1.09-6.88), and had changes in their treatment (AOR = 3.75, 95% CI = 1.62-8.70). Alternatively, adjusted odds of non-adherence were lower for patients who reported using pillboxes (AOR = 0.31, 95% CI = 0.10-0.95), having help from a caregiver (AOR = 0.15, 95% CI = 0.04-0.60), and integrating medication dosing into daily routines (AOR = 0.18, 95% CI = 0.06-0.59). Medication non-adherence was common among low-income, uninsured patients initiating therapy for chronic conditions. Several modifiable barriers highlight opportunities to address medication non-adherence through multidisciplinary interventions.

The effect of primary care visits on other health care utilization: A randomized controlled trial of cash incentives offered to low income, uninsured adults in Virginia

We conducted a randomized controlled trial, enrolling low-income uninsured adults in Virginia (United States), to determine whether cash incentives are effective at encouraging a primary care provider (PCP) visit, and at lowering utilization and costs. Subjects were randomized to four groups: untreated controls, and one of three incentive arms with incentives of $0, $25, or $50 for visiting a PCP within six months of group assignment. We used the exogenous variation generated by the experiment to obtain causal evidence on the effects of a PCP visit. We observed modest reductions in non-urgent emergency department visits and increased outpatient visits, but no reductions in overall costs. These findings in utilization are consistent with the expectation that PCPs offer an alternative to the emergency department for non-emergent conditions. Total costs did not decline because any savings from avoiding the emergency department were offset by increased outpatient utilization.

Cured into Destitution: Catastrophic Health Expenditure Risk Among Uninsured Trauma Patients in the United States.

To characterize the economic hardship for uninsured patients admitted for trauma using catastrophic health expenditure (CHE) risk. Medical debts are the greatest cause of bankruptcies in the United States. Injuries are often unpredictable, expensive to treat, and disproportionally affect uninsured patients. Current measures of economic hardship are insufficient and exclude those at greatest risk. We performed a retrospective review, using data from the 2007-2011 Nationwide Inpatient Samples of all uninsured nonelderly adults (18-64 yrs) admitted with primary diagnoses of trauma. We used US Census data to estimate annual postsubsistence income and inhospital charges for trauma-related admission. Our primary outcome measure was catastrophic health expenditure risk, defined as any charges ≥40% of annual postsubsistence income. Our sample represented 579,683 admissions for uninsured nonelderly adults over the 5-year study period. Median estimated annual income was $40,867 (interquartile range: $21,286-$71.733). Median inpatient charges were $27,420 (interquartile range: $15,196-$49,694). Overall, 70.8% (95% posterior confidence interval: 70.7%-71.1%) of patients were at risk for CHE. The risk of CHE was similar across most demographic subgroups. The greatest risk, however, was concentrated among patients from low-income communities (77.5% among patients in the lowest community income quartile) and among patients with severe injuries (81.8% among those with ISS ≥ 16). Over 7 in 10 uninsured patients admitted for trauma are at risk of catastrophic health expenditures. This analysis is the first application of CHE to a US trauma population and will be an important measure to evaluate the effectiveness of health care and coverage strategies to improve financial risk protection.

Migraine Care Challenges and Strategies in US Uninsured and Underinsured Adults: A Narrative Review, Part 2.

To review the challenges and potential solutions in treatment options for quality migraine care in adult patients who are under or uninsured. The Affordable Care Act has improved access to health care for many; however, those who are underserved continue to face treatment disparities and have inadequate access to appropriate migraine management. This manuscript is the second of a 2-part narrative review which was performed after a series of discussions within the Underserved Populations in Headache Medicine Special Interest Section meetings of the American Headache Society. Literature was reviewed for key concepts underpinning conceptual boundaries and a broad overview of the subject matter. Published guidelines, state-specific Medicaid websites, headache quality measurement sets, literature review, and expert opinion were used to tailor suggested treatment options and therapeutic strategies. In this second part of our narrative review, we explored migraine care strategies and considerations for underserved and vulnerable adult populations with migraine. Although common, migraine remains untreated, particularly among those of low socioeconomic status. Low socioeconomic status may play an important role in the disease progression, prescription of hazardous medications such as opioids, outcomes, and quality of life of patients with migraine and other headache disorders. There are some evidence-based and guideline supported treatment options available at low cost that include prescription medications and supplements, though approved devices are costly. Resources available online and simple nonpharmacological strategies may be particularly useful in the underserved migraine population. We identified and discussed migraine treatment barriers that affect underserved populations in the US and summarized practical, cost-effective strategies to surmount them. However, more research is needed to identify the best cost-effective measures for migraine management in underserved and vulnerable patients who are uninsured or underinsured.

Perceived Value of Health Insurance and Enrollment Decision among Low-Income Population

The individual mandate is one of the key features of the Affordable Care Act (ACA) and has contributed to a substantial decrease in the overall uninsured rate. We examined the relationship between the individual's insurance status and his/her attitude towards risk and uncertainty among the nonelderly adults, without employer-sponsored insurance (ESI) sources and who are most likely to benefit from the ACA. A descriptive, cross-sectional study was conducted using the 2014 full-year consolidated data file from the Household Component of the Medical Expenditure Panel Survey-Household Component (MEPS-HC). This study included 4,848 individuals, aged 18-64 years, with incomes between 138-400 % of the Federal Poverty Level (FPL), and without access to public coverage or ESI. We examined the factors associated with the likelihood of being uninsured using a logit model. We found that the proportion of the uninsured among the low-income nonelderly adults without ESI (31.1%) was much higher than the one among the nonelderly adults (14.3%). The uninsured adults were likely to have lower demand for insurance and perceived value of insurance and were less likely to visit a doctor or to fill prescription drugs. More rigorous outreach efforts focusing on increasing perceived value of health insurance could contribute to an increased insurance coverage among low-income populations.

The effect of North Carolina free clinics on hospitalizations for ambulatory care sensitive conditions among the uninsured

BackgroundFree clinics are volunteer based organizations that provide health care services to low-income individuals for free or minimal cost. Communities served by a free clinic can provide ambulatory care services for uninsured individuals, reducing reliance on costly hospital admissions for ambulatory care sensitive conditions. This study examines whether free clinics in North Carolina reduce hospitalizations for ambulatory care sensitive conditions for uninsured adults.MethodsThe study used North Carolina hospital discharge data from 2003 to 2007, restricted to uninsured adults residing in North Carolina (N = 270,325). Prevention Quality Indicators identified hospitalizations for ambulatory care sensitive conditions. The entry of new free clinics in some counties during this time period in conjunction with county-level and year fixed effects allows the logistic regression analysis to simulate a pre/post study design.ResultsDischarges for ambulatory care sensitive conditions constituted 12.6% of the sample. Despite the limited coverage provided by free clinics, which serve 5.5% of the uninsured in North Carolina, uninsured adults in counties served by a free clinic had an 8.0% reduced odds of a hospitalization being for an ambulatory care sensitive condition. When the model is limited to ambulatory care sensitive conditions related to chronic conditions, the odds of a hospitalization of an uninsured adult for an ambulatory care sensitive condition in counties served by a free clinic is reduced by 9.0%.ConclusionFree clinics are effective providers of primary care services for uninsured individuals, particularly for those with chronic conditions. To enhance this impact by increasing free clinics’ reach, state and local policy makers should support and encourage development of free clinics in high need areas.

Effects Of The ACA's Health Insurance Marketplaces On The Previously Uninsured: A Quasi-Experimental Analysis.

Descriptive studies have suggested that the Affordable Care Act's (ACA's) health insurance Marketplaces improved access to care. However, no evidence from quasi-experimental studies is available to support these findings. We used longitudinal survey data to compare previously uninsured adults with incomes that made them eligible for subsidized Marketplace coverage (138-400percent of the federal poverty level) to those who had employer-sponsored insurance before the ACA with incomes in the same range. Among the previously uninsured group, the ACA led to a significant decline in the uninsurance rate, decreased barriers to medical care, increased the use of outpatient services and prescription drugs, and increased diagnoses of hypertension, compared to a control group with stable employer-sponsored insurance. Changes were largest among previously uninsured people with incomes of 138-250percent of poverty, who were eligible for the ACA's cost-sharing reductions. Our quasi-experimental approach provides rigorous new evidence that the ACA's Marketplaces led to improvements in several important health care outcomes, particularly among low-income adults.