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Objective To examine the effects of parental Medicaid eligibility on parental health, parenting practices, and child development in low-income families. Methods Longitudinal analysis using data from the Early Child Longitudinal Study-Kindergarten: 2011 to 2016. Outcomes included parental self-rated health, parental depressive symptoms, parents’ communication and warmth toward children, and children's social skills and externalizing and internalizing behaviors. We estimated 2-way (individual and year) fixed effects models using Medicaid eligibility as a continuous variable, controlling for changing economic conditions, changes in family structure, and state-specific trends. We then estimated triple difference models comparing lower income families to those with higher incomes. Finally, we estimated difference-in-difference models and used entropy weights in order to account for differences in trends prior to 2014 for some outcomes. Results In fixed effects models, expanding Medicaid eligibility by 100% of the federal poverty line is associated with a 12.7 percentage point reduction in parents’ report of having fair or poor health (95% confidence interval [CI], -23.9, -1.5) and a 1.15-point improvement on a 12-point scale of parental warmth towards children (95% CI, 0.15, 2.16). Results were substantively similar in entropy-balanced difference-in-differences models. In triple difference models, expanded Medicaid eligibility is associated with a 0.46 point improvement in warmth (95% CI, 0.10, 0.83) but not improved parental health. No significant effects for child behavior or other outcomes were detected. Conclusions Expanding Medicaid for parents may have implications for intergenerational family functioning that could lead to broader social benefits.

ImportanceCOVID-19 relief legislation created a temporary moratorium on Medicaid disenrollment, but when the public health emergency ends, states will begin to “unwind” Medicaid enrollment. Prepandemic data shed light on factors that can affect Medicaid coverage stability.ObjectiveTo assess factors associated with the duration and continuity of Medicaid enrollment.Design, Setting, and ParticipantsIn this cross-sectional analyses of a Medicaid data set for 2016 that was released by the Agency for Healthcare Research and Quality in June of 2022, we analyze a nationally representative data set of 5.7 million persons, weighted to represent 70 million Medicaid beneficiaries in 2016. We focus on 22 million nondisabled, nonelderly adults for this analysis. The data were analyzed between July and September of 2022.Main Outcomes and MeasuresThe main outcomes were the average months of Medicaid enrollment in 2016 and the probability of churning, defined as a break in coverage between 2 periods of enrollment during the calendar year. We compared these outcomes by eligibility category, state, demographic characteristics, and key Medicaid policies, including whether the state expanded Medicaid and whether it used ex parte reviews (automated reviews of other administrative data to reduce renewal paperwork burdens).ResultsIn this cross-sectional analysis, we analyze a nationally representative Medicaid data set of 5.7 million persons, weighted to represent 70 million Medicaid beneficiaries in 2016, released by the Agency for Healthcare Research and Quality in June of 2022. The analysis focused on nonelderly, nondisabled adults (aged 18-64 years) with a weighted population size of 22.7 million, of which 18.4% were Black, 19.2% were Latino, 39.5% were White, 7.3% were other/Asian/Native American, and 15.5% had unknown race. Multivariable regression analysis indicated that those living in states that expanded Medicaid but did not use ex parte reviews had longer average duration (0.31 months longer; 95% CI, 0.03-0.59) and lower risk of churning(odds ratio [OR], .40; 95% CI, 0.39-0.40), whereas those living in nonexpansion states that used ex parte reviews had lower odds of churning (OR, .68; 95% CI, 0.66-0.70) but also had shorter average duration (3.1 months shorter; 95% CI, −3.4 to −2.8). Those living in expansion states that used ex parte reviews also had reduced churning (OR, .83; 95% CI, 0.82-0.85). The average duration varied widely by state, even after adjustments for demographic and state policy factors.Conclusions and RelevanceIf state Medicaid programs revert to prepandemic policies after the temporary moratorium ends, Medicaid coverage, particularly for nondisabled, nonelderly adults, is likely to become less stable again. Medicaid expansions are associated with improved continuity, but ex parte review may have a more complex role.

Immigrant children in the US have very limited health insurance coverage and health care access. Immigration status is not static: Census data show that the majority of census respondents who enter...

Introduction Cigarette smoking prevalence is higher among adults enrolled in Medicaid than adults with private health insurance. State Medicaid coverage of cessation treatments has been gradually improving in recent years; however, the extent to which this has translated into increased use of these treatments by Medicaid enrollees remains unknown. Aims and Methods Using Medicaid Analytic eXtract (MAX) files, we estimated state-level receipt of smoking cessation treatments and associated spending among Medicaid fee-for service (FFS) enrollees who try to quit. MAX data are the only national person-level data set available for the Medicaid program. We used the most recent MAX data available for each state and the District of Columbia (ranging from 2010 to 2014) for this analysis. Results Among the 37 states with data, an average of 9.4% of FFS Medicaid smokers with a past-year quit attempt had claims for cessation medications, ranging from 0.2% (Arkansas) to 32.9% (Minnesota). Among the 20 states with data, an average of 2.7% of FFS Medicaid smokers with a past-year quit attempt received cessation counseling, ranging from 0.1% (Florida) to 5.6% (Missouri). Estimated Medicaid spending for cessation medications and counseling for these states totaled just over $13 million. If all Medicaid smokers who tried to quit were to have claims for cessation medications, projected annual Medicaid expenditures would total $0.8 billion, a small fraction of the amount ($45.9 billion) that Medicaid spends annually on treating smoking-related disease. Conclusions The receipt of cessation medications and counseling among FFS Medicaid enrollees was low and varied widely across states. Implications Few studies have examined use of cessation treatments among Medicaid enrollees. We found that many FFS Medicaid smokers made quit attempts, but few had claims for proven cessation treatments, especially counseling. The receipt of cessation treatments among FFS Medicaid enrollees varied widely across states, suggesting opportunities for additional promotion of the full range of Medicaid cessation benefits. Continued monitoring of Medicaid enrollees’ use of cessation treatments could inform state and national efforts to help more Medicaid enrollees quit smoking.

The lack of racial and ethnic concordance between patients and their physicians may contribute to American health disparities.To examine the level of racial and ethnic concordance for patients and primary care clinicians and its association with measures of patient experience.Multivariate cross-sectional analysis of nationally representative data.Adults 18 to 64 in the 2019 Medical Expenditure Panel Survey who had at least one medical visit in the past year.Key independent variables include having a racially/ethnically concordant primary care clinician, lacking a usual source of care, and having a usual source that is a place rather than a person. Outcomes include overall satisfaction with health care, number of medical visits, having enough time in care, ease of understanding the clinician, and receiving respect.The comparison between the actual level of concordance with an expected distribution if all patients had the same probability of having a clinician of a given race or type indicates that Black, Latino, and Asian patients are three or more times as likely to have a concordant clinician than expected, suggesting a strong preference for clinicians of the same race or ethnicity. Racial or ethnic concordance has a modest positive association with overall health care satisfaction and respect but is not significantly associated with the number of medical visits or other outcomes. Poor health status, being uninsured, and lacking a usual source of care are more strongly associated with patient experience.Efforts to increase the diversity of the primary care workforce could increase racial/ethnic concordance but may have only modest effects on patients' experience of care. Policies like lowering the number of uninsured or increasing those with a usual source of care may be more salient in improving experience of care.

Fluctuating insurance coverage, or churning, is a recognized barrier to health care access. We assessed whether state policies that allow children to remain covered in Medicaid for a 12-month period, regardless of fluctuations in income, are associated with health and health care outcomes, after controlling for individual factors and other Medicaid policies. This cross-sectional study uses a large, nationally representative database of children ages 0 to 17. Continuous eligibility was associated with improved rates of insurance, reductions in gaps in insurance and gaps due to application problems, and lower probability of being in fair or poor health. For children with special health care needs, it was associated with increases in use of medical care and preventive and specialty care access. However, continuous eligibility was not associated with health care utilization outcomes for the full sample. Continuous eligibility may be an effective strategy to reduce gaps in coverage for children and reduce paperwork burden on Medicaid agencies.

Supplemental Digital Content is available in the text., Objective: Prior studies of community health centers (CHCs) have found that clinicians supported by the National Health Service Corps (NHSC) provide a comparable number of primary care visits per full-time clinician as non-NHSC clinicians and provide more behavioral health care visits per clinician than non-NHSC clinicians. This present study extends prior research by examining the contribution of NHSC and non-NHSC clinicians to medical and behavioral health costs per visit. Methods: Using 2013–2017 data from 1022 federally qualified health centers merged with the NHSC participant data, we constructed multivariate linear regression models with health center and year fixed effects to examine the marginal effect of each additional NHSC and non-NHSC staff full-time equivalent (FTE) on medical and behavioral health care costs per visit in CHCs. Results: On average, each additional NHSC behavioral health staff FTE was associated with a significant reduction of 3.55 dollars of behavioral health care costs per visit in CHCs and was associated with a larger reduction of 7.95 dollars in rural CHCs specifically. In contrast, each additional non-NHSC behavioral health staff FTE did not significantly affect changes in behavioral health care costs per visit. Each additional NHSC primary care staff FTE was not significantly associated with higher medical care costs per visit, while each additional non-NHSC clinician contributed to a slight increase of $0.66 in medical care costs per visit. Conclusions: Combined with previous findings on productivity, the present findings suggest that the use of NHSC clinicians is an effective approach to improving the capacity of CHCs by increasing medical and behavioral health care visits without increasing costs of services in CHCs, including rural health centers.

The National Health Service Corps (NHSC) is a federal program to increase the supply of health professionals in underserved communities, but its role in enhancing the capacity of community health centers (CHCs) has not been investigated. This study examined the role of NHSC clinicians in improving staffing and patient care capacity in primary, dental, and mental health care in CHCs.Using 2013-2016 administrative data from CHCs and the NHSC, we used a generalized estimating equation approach to examine whether NHSC clinicians [staff full-time equivalents (FTEs)] complement non-NHSC clinicians in CHCs and whether their productivity (patient visits per staff FTE) was greater than that of non-NHSC clinicians in primary, dental, and mental health care.Each additional NHSC clinician FTE was associated with a significant gain of 0.72 non-NHSC clinician FTEs in mental health care in CHCs and an increase of 0.04 non-NHSC FTEs in primary care in CHCs with more severe staffing shortages. On average, every additional NHSC clinician was associated with an increase of 2216 primary care visits, 2802 dental care visits, and 1296 mental health care visits per center-year. The adjusted visits per additional staff for NHSC clinicians were significantly greater in dental (difference=992) and mental health (difference=423) care, compared with non-NHSC clinicians.The NHSC clinicians complement non-NHSC clinicians in primary care and mental health care. They help enhance the provision of patient care in CHCs, particularly in dental and mental health services, the 2 major areas of service gaps.

Immigrant children in the US have very limited health insurance coverage and health care access. Immigration status is not static: Census data show that the majority of census respondents who enter as noncitizen children eventually become citizens. Eligibility restrictions that prevent noncitizen children from being publicly insured can contribute to their experiencing poorer health and higher medical costs in their adult lives. We isolate the impact of lack of citizenship from socioeconomic factors by comparing citizen and noncitizen siblings living in mixed-status families, using fixed-effects models to net out socioeconomic factors shared within families. Lacking citizenship increased a child's risk of being uninsured and lowered by 26 percentage points the chances that they would have Medicaid or Children's Health Insurance Program coverage. Noncitizen children had significantly more delays in needed medical care because of cost, primarily mediated by the lack of insurance coverage. The US should reexamine policies that exclude noncitizen children from public health insurance programs.

BACKGROUND: There are racial differences in COVID-19 vaccination rates, but social factors, such as lack of health insurance or food insecurity, may explain some of the racial disparities. OBJECTIVE: To assess social factors, including insurance coverage, that may affect COVID-19 vaccination as of June-July 2021 and vaccine hesitancy among those not yet vaccinated, and how these may affect racial equity in vaccinations. DESIGN: Cross-sectional analysis of nationally representative survey data. PARTICIPANTS: Adults 18 to 64 participating in the Census Bureau's Household Pulse Survey for June 23 to July 5, 2021. MAIN MEASURES: Vaccination: receipt of at least one dose of a COVID-19 vaccine. Vaccine hesitancy: among those not yet vaccinated, intent to definitely or probably not get vaccinated. KEY RESULTS: In unadjusted analyses, black adults were less likely to be vaccinated than other respondents, but, after social factors were included, including health insurance status, food sufficiency, income and education, and state-level political preferences, differences between black and white adults were no longer significant and Hispanics were more likely to be vaccinated (OR = 1.87, p < .001). Among those not yet vaccinated, black and Hispanic adults were vaccine hesitant than white adults (ORs = .37 and .45, respectively, both p < .001) and insurance status and food insufficiency were not significantly associated with vaccine hesitancy. The percent of state voters for former President Trump in 2020 was significantly associated with lower vaccination rates and with increased vaccine hesitancy. DISCUSSION: The results indicate that much of the gap in COVID vaccination rates for minority adults are due to social barriers, rather than differences in racial attitudes. Unvaccinated minority adults expressed less vaccine hesitancy than white adults. Social barriers like food insecurity and insurance coverage could have deterred prompt COVID-19 vaccinations. Reducing these problems might help increase vaccination rates.

PURPOSE This study examines whether characteristics of dental education, practice characteristics and state Medicaid policies are associated with dentists' pediatric Medicaid participation. METHODS Cross-sectional analysis of data about dentists' Medicaid participation in 2016, based on current practice characteristics and characteristics of dental schools they attended 5 to 10 years earlier. We analyze data about 22,500 general and pediatric dentists, drawn from the American Dental Association's Masterfile for 2016 and its dental school survey for 2009-10. The primary outcome is whether dentists participated in Medicaid-enrolled to accept Medicaid patients and payments-in at least 1 of their practice sites in 2016. RESULTS A majority (55%) of dentists accepted Medicaid in at least 1 practice site, while a quarter (24%) accepted Medicaid in all their sites. Dentists who attended schools with higher tuition rates were less likely to serve Medicaid patients at any site several years later (adjusted odds ratio [AOR] = .761). Dental schools' receipt of grants that encourage community-based training were associated with increased Medicaid participation at all sites (AOR = 1.22). Those practicing in rural areas also had higher Medicaid participation (AOR = 2.62). A 10% increase in Medicaid reimbursement rates was associated with increased Medicaid participation at any site (AOR = 1.24). CONCLUSIONS Dental school practices and state Medicaid policies are associated with whether dentists care for Medicaid patients. Changes in dental school or Medicaid policies, such as higher reimbursement rates, could help encourage more dentists to accept Medicaid patients, thereby increasing access to care.

Key Points Question What are the associations between work requirements and Supplemental Nutrition Assistance Program participation for the overall target population and subpopulations? Findings In this pooled cross-sectional study of 866 000 low-income US adults, work requirements were associated with a 4.0 percentage point decrease in participation for the target population of childless adults without disability, with reductions in participation of 7.2 percentage points for non-Hispanic black adults, 5.5 percentage points for Hispanic adults, and 2.6 percentage points for non-Hispanic white adults within this group. There was also a 4.0 percentage point decrease for childless adults with disability. Meaning These findings suggest that Supplemental Nutrition Assistance Program work requirements are associated with decreased participation for subpopulations who have greater rates of food insecurity., This cross-sectional study examines whether work requirements in the Supplemental Nutrition Assistance Program (SNAP) are associated with lower program participation rates and whether there are racial/ethnic disparities or spillover effects for people with disabilities., Importance Increased work requirements have been proposed throughout federal safety net programs, including the Supplemental Nutrition Assistance Program (SNAP). Participation in SNAP is associated with reduced food insecurity and improved health. Objectives To determine whether SNAP work requirements are associated with lower rates of program participation and to examine whether there are racial/ethnic disparities or spillover effects for people with disabilities, who are not intended to be affected by work requirements. Design, Setting, and Participants This nationally representative, pooled cross-sectional study examined how changes in SNAP work requirements at state and local levels in the US are associated with changes in food voucher program participation. The study combined information on state and local SNAP work requirements with repeated cross-sections from the 2012 through 2017 American Community Survey (with outcomes covering 2013 to 2017). The analytical approaches were based on difference-in-difference and triple-difference methods, after controlling for other economic and social factors. The sample included low-income adults without dependents, stratified by racial/ethnic group and disability status. The study also included parents who would otherwise meet work requirement criteria as a comparison group to estimate triple-difference models. This accounted for otherwise unobserved factors affecting trends in SNAP participation within local areas. Data were analyzed from January 2019 through March 2020. Exposure Residence in areas where SNAP work requirements apply. Main Outcomes and Measures The primary outcome is SNAP participation measured by whether anyone in the household received food vouchers at any point over the prior 12 months. Results The final analytical sample included 866 000 low-income adults (weighted mean [SE] age, 33.6 [0.01] years; 42.5% [SE, 0.07%] men). The racial/ethnic breakdown was 56.5% (SE, 0.07%) non-Hispanic white respondents, 19.4% (SE, 0.06%) non-Hispanic black respondents, 17.7% (SE, 0.06%) Hispanic respondents, 2.5% (SE, 0.02%) Asian respondents, and 3.9% (SE, 0.03%) respondents of other or multiple races. In final triple-difference models, work requirements were associated with a 4.0 percentage point decrease in participation (95% CI, –0.048 to –0.032; P

Policy Points: The Pay for Success (PFS) financing approach has potential for scaling the implementation of evidence-based prevention interventions in Medicaid populations, including a range of multicomponent interventions for childhood asthma that combine home environment risk mitigation with medical case management. Even though this type of intervention is efficacious and cost-saving among high-risk children with asthma, the main challenges for implementation in a PFS context include legal and regulatory barriers to capturing federal Medicaid savings and using them as a source of private investor repayment. Federal-level policy change and guidance are needed to support PFS financing of evidence-based interventions that would reduce expensive acute care among Medicaid enrollees. Context Pay for Success has emerged as a potential financing mechanism for innovative and cost-effective prevention programs. In the PFS model, interventions that provide value to the public sector are implemented with financing from private investors who receive a payout from the government only if the metrics identified in a performance-based contract are met. In this nascent field, little has been written about the potential for and challenges of PFS initiatives that produce savings and/or value for Medicaid. Methods In order to elucidate the basic economics of a PFS intervention in a Medicaid population, we modeled the potential impact of an evidence-based multicomponent childhood asthma intervention among low-income children enrolled in Medicaid in Detroit. We modeled outcomes and a comparative benefit-cost analysis in 3 risk-based target groups: (1) all children with an asthma diagnosis; (2) children with an asthma-related emergency department visit in the past year; and (3) children with an asthma-related hospitalization in the past year. Modeling scenarios for each group produced estimates of potential state and federal Medicaid savings for different types or levels of investment, the time frames for savings, and some overarching challenges. Findings The PFS economics of a home-based asthma intervention are most viable if it targets children who have already experienced an expensive episode of asthma-related care. In a 7-year demonstration, the overall (undiscounted) modeled potential savings for Group 2 were $1.4 million for the federal Medicaid and $634,000 for the state Medicaid programs, respectively. Targeting children with at least 1 hospitalization in the past year (Group 3) produced estimated potential savings of $2.8 million to federal Medicaid and $1.3 million to state Medicaid. However, current Medicaid rules and regulations pose significant challenges for capturing federal Medicaid savings for PFS payouts. Conclusions A multicomponent intervention that provides home remediation and medical case management to high-risk children with asthma has significant potential for PFS financing in urban Medicaid populations. However, there are significant administrative and payment challenges, including the limited ability to capture federal Medicaid savings and to use them as a source of investor repayment. Without some policy reform and clear guidance from the federal government, the financing burden of PFS outcome payments will be on the state Medicaid program or some other state-level funding source.

Introduction Smoking rates for Medicaid beneficiaries have remained flat in recent years. Medicaid may support smokers in quitting by covering a broad array of tobacco cessation services without barriers such as copays. This study examines the impact of increasing generosity in Medicaid tobacco cessation coverage policies on smoking and cessation behaviors. Methods We used 2010 and 2015 National Health Interview Survey data merged with information on state tobacco, Medicaid cessation, and Medicaid eligibility policies to estimate state fixed effects models of cessation medication use, counseling use, quit attempts, and current smoking. Results Smokers living in states that cover cessation medications but not counseling services were less likely to use counseling. Smokers were more likely to report having tried to quit in states with higher rates of use of cessation medications among Medicaid beneficiaries. We found no impact of Medicaid policies on use of cessation medications. States that impose copays had higher rates of smoking, while those that require counseling as a condition of receiving medication had lower rates of smoking. Additionally, we found that expanding Medicaid eligibility under the Affordable Care Act is associated with decreased smoking prevalence among Medicaid beneficiaries. Conclusion Covering cessation counseling may encourage smokers that want to quit to use this service. Promoting the use of cessation medications may improve the likelihood that smokers try to quit. Medicaid coverage of cessation services is an important but incomplete strategy in addressing smoking among low-income populations. Implications States may be able to improve utilization of cessation counseling by providing Medicaid reimbursement for this service. Encouraging utilization of tobacco cessation medications may help more smokers quit. States should consider how to promote effective cessation methods among clinicians and patients.

Community health centers are a vital part of the primary and behavioral health care systems in rural areas. We compared behavioral health care staffing and services in rural and urban centers. In the period 2013-17 the overall staff-to-patient ratio in behavioral health rose by 66 percent in rural centers, faster than growth in urban centers (49 percent). Growth in both settings was mostly driven by clinical social workers and other licensed mental health providers; staffing by psychiatrists and psychologists changed only slightly. In rural centers the average adjusted increase in annual visits per additional behavioral health staff member was 411 for substance use disorders, slightly higher than at urban centers. Additional annual visits per additional staff member in rural centers were 539 for depression, 466 for anxiety, and 300 for other mental disorders, similar to the numbers in urban centers. Behavioral health staff currently participating in the National Health Service Corps (NHSC) contributed more to visits for depression and anxiety in rural centers, compared to both their urban counterparts and non-NHSC staff in rural centers. Enhancing behavioral health staffing in rural community health centers could help reduce the urban-rural gap in the availability of behavioral health services, but still more could be done.

Objectives. To assess the effects of work requirements for able-bodied adults without dependents in the Supplemental Nutrition Assistance Program (SNAP). Methods. We used changes in waivers of work requirements to assess the impact of requiring work on the number of SNAP participants and benefit levels in 2410 US counties from 2013 to 2017 using 2-way fixed effects models. Results. Adoption of work requirements was followed by reductions of 3.0% in total SNAP participation, 4.5% in SNAP households, and 3.8% in SNAP benefit dollars, after controlling for the unemployment, poverty, and Medicaid expansions. Because able-bodied adults without dependents comprise 8% to 9% of all SNAP participants, our findings indicate that work requirements caused more than one third of able-bodied adults without dependents to lose benefits. Conclusions. Expansions of work requirements caused about 600 000 participants to lose SNAP benefits from 2013 to 2017 and caused a reduction of about $2.5 billion in federal SNAP benefits in 2017. The losses occurred rapidly, beginning a few months after work requirements were imposed. Public Health Implications. SNAP work requirements rapidly reduce caseloads and benefits, reducing food and health access. Effects on participation could be similar for work requirements in Medicaid or other programs.

Objectives: Previous state interagency collaborations have led to successful tobacco cessation initiatives. The objective of this study was to assess the roles and interaction of state Medicaid and public health agency efforts to support tobacco cessation for low-income Medicaid beneficiaries. Methods: We interviewed Medicaid and state public health agency officials in 8 states in September and October 2015 about collaborations in policy development and implementation for Medicaid tobacco cessation, including Medicaid coverage policies, quitlines, and monitoring. Results: Collaboration between Medicaid and public health agencies was limited. Smoking cessation quitlines were the most common area of collaboration cited. Public health officials were typically not involved in developing Medicaid coverage policies. States covered a range of US Food and Drug Administration–approved tobacco cessation medications, but 7 of the 8 states imposed limitations, such as charging copayments or requiring previous authorization. States generally lacked data to monitor implementation of tobacco cessation efforts and had little ability to determine the effectiveness of their policies. Conclusions: To strengthen efforts to reduce smoking and tobacco-related health burdens and to monitor the effectiveness of policies and programs, Medicaid and public health agencies should prioritize tobacco cessation and develop and analyze data about smoking and cessation efforts among Medicaid beneficiaries. Recent multistate initiatives from the Centers for Disease Control and Prevention and the Centers for Medicare & Medicaid Services seek to promote stronger collaborations in clinical prevention activities, including tobacco cessation.

Through the expansion of Medicaid eligibility and increases in core federal grant funding, the Affordable Care Act (ACA) sought to increase the capacity of community health centers to provide primary care to low-income populations. We examined the effects of the ACA Medicaid expansion and changes in federal grant levels on the centers' numbers of patients, percentages of patients by type of insurance, and numbers of visits from 2012 to 2015. In the period after expansion (2014-15), health centers in expansion states had a 5 percent higher total patient volume, larger shares of Medicaid patients, smaller shares of uninsured patients, and increases in overall visits and mental health visits, compared to centers in nonexpansion states. Increases in federal grant funding levels were associated with increases in numbers of patients and of overall, medical, and preventive service visits. If federal grant levels are not sustained after 2017, there could be marked reductions in health center capacity in both expansion and nonexpansion states.

This study investigated how years of experience with an electronic health record (EHR) related to productivity in community health centers (CHCs). Using data from the 2012 Uniform Data System, we regressed average annual medical visits, weighted for service intensity, as a function of full-time equivalent medical staff controlling for CHC size and location. Physician productivity significantly improved. Although the productivity of all other staff types was not significantly different by years of EHR experience, the trends showed lower productivity among nurses and other medical staff in CHCs with fewer years of EHR experience versus more years of experience.

Background In this study, the authors examined the prevalence and cost of care for children enrolled in Medicaid for potentially preventable dental conditions who receive surgical care in hospital operating rooms (ORs) or ambulatory surgery centers (ASCs). Methods The authors analyzed Medicaid data from 8 states to find cases in which children aged 1 to 20 years received surgical care in ORs or ASCs in 2010 and 2011 for potentially preventable diagnoses, as defined with diagnostic codes. Results For 6 states with complete data, there were 26,373 cases in 2011 in which children received OR or ASC surgical care for potentially preventable conditions. These cases represent approximately 0.5% of all children enrolled in Medicaid in these states and approximately 1% of children enrolled in Medicaid who received any dental care. There were $68 million in total Medicaid payments for these cases, with an average of $2,581 per case. Diagnostic codes indicated that 98% of cases were related to treatment of dental caries. More than two-thirds of the cases (71%) were children aged 1 to 5 years. Conclusions Extrapolation to the United States suggests that approximately $450 million in additional expenditures occurred in 2011 because of OR or ASC surgical care for potentially preventable pediatric dental conditions, primarily related to early childhood caries. Practical Implications Strategies to improve prevention of early childhood caries, including community- and family-based education, and to increase access to timely and early dental care for low-income children could reduce the burdens and costs of these dental problems.

INTRODUCTIONWith the expansion of coverage and preventive care facilitated by the Affordable Care Act, primary care facilities are facing increased demand for services. At the same time, new payment incentives linked to patient-centered medical homes (PCMHs) are encouraging the adoption of team-based care (Auerbach et al., 2013; Bitton et al., 2012). Team-based care may help contain costs and improve productivity and patient outcomes in primary care facilities (Altschuler, Margolius, Bodenheimer, & Grumbach, 2012; Bodenheimer & Smith, 2013; Ku, Frogner, Steinmetz, & Pittman, 2015). However, most studies of primary care teams examine team-based care or teamwork as a variable associated with certain outcomes, with little attention given to the question of how leaders of primary care facilities determine the composition of primary care teams and the staffing configurations that best serve patient populations given their local policy and market contexts (Chen & Bodenheimer, 2011; Chesluk & Holmboe, 2010).Understanding how leaders make staffing configuration decisions in the context of the current system transformations is important because it may help build knowledge about how ground-level choices in primary care facilities mediate policy outcomes. In addition, such information may help inform national and state health workforce planners as they grapple with the challenge of projecting demand for different types of healthcare workers, some of whom have overlapping roles. Such projections have traditionally measured supply and demand for just one profession, but interest is increasing in more sophisticated models that consider alternative team configurations (Auerbach et al, 2013). Furthermore, organizations such as the Association of American Medical Colleges are particularly interested in identifying variables that can be used to develop local workforce planning tools (Dill, 2015).Researchers have argued for a complexity perspective on primary care, with greater attention given to how leaders manage competing goals and values, leam from their environment, and create emergent organizational forms (Felix-Bortolotti, 2009; Sweeney, 2006). In this study, we use a qualitative approach to explore how leaders of community health centers (CHCs) make complex medical staff configuration choices in their role as safety-net providers for 22 million low-income patients in the United States (Health Resources and Services Administration, n.d.). CHCs are a good venue for studying complexity in primary care because they require leaders to use tightly constrained resources to provide high-quality primary care to patients, regardless of their ability to pay (Rosenblatt, Andrilla, Curtin, & Hart, 2006). CHCs are seen as "in the vanguard of flexible staffing" because their leaders make tradeoffs and adapt to the environment to maximize resources in a difficult funding environment (Ku et al, 2015).METHODSParticipantsWe used the 2012 Uniform Data System (UDS), an annual administrative reporting system for CHCs that receive federal funding (Section 330 grantees), to identify a maximum variety sample (Patton, 1990) of CHCs with unusually high proportions of advanced practice providers (APPs) (i.e., nurse practitioners [NPs], physician assistants [PAs], and certified nurse midwives), nurses (registered nurses [RNs] and licensed practical nurses [LPNs] or vocational nurses), medical assistants (MAs), case managers, and community health workers. We selected three to five sites from each of these ftve categories for variety with regard to urban versus rural location, NP scope of practice (SOP), Medicaid expansion states versus Medicaid non-expansion states, and large versus small. We determined size (the last variable) on the basis of whether they reported more or less than 9,844, the median number of patients. This maximum variety sampling approach allowed us to analyze a wide range of ideas pertaining to staffing (Patton, 1990). …

This study examines whether community health center (CHC) patients have lower medical expenditures. Using 2011-2012 Medical Expenditure Panel Survey data, propensity score methods are used to compare annual expenditures for adults and children receiving at least half their ambulatory care at CHCs versus those who did not. For children, CHC use was associated with 35.3% lower total medical expenditures ($627), 40.0% lower ambulatory expenditures ($279), and 49.1% lower prescription drug expenditures ($157) (all Ps < .05). For adults, the reduction in hospital expenditures for CHC users ($529) was statistically significant at a P < .10 threshold. Estimated differences in total expenditures and other expenditure categories were not statistically significant for adults.

The Centers for Medicare and Medicaid Services approved Medicaid work requirement demonstration projects in four states, and other states also have applied. However, the future of these projects has been clouded by legal and policy challenges.To assess whether state Medicaid work requirement projects are designed for success in promoting employment among unemployed Medicaid beneficiaries.To examine the design of new work requirement projects, we reviewed the evidence, analyzed the overlap of Medicaid and Supplemental Nutrition Assistance Program (SNAP) work requirements, and convened a roundtable of seven experts who have research or implementation experience with work programs for Medicaid and public assistance recipients.Mandatory work programs would be less effective and efficient than well-administered voluntary programs. Far more people will be subject to Medicaid work requirements than are currently subject to them in SNAP. This surge could overwhelm the limited resources of existing employment training and support programs. Medicaid demonstration projects contribute almost no additional funding to train the unemployed or provide necessary social supports. Medicaid work requirement programs are not well designed to help people get jobs or improve health and are more likely to lead to a loss of health insurance coverage.

Objectives. We estimated the number of women of reproductive age in need who would gain coverage for contraceptive services after implementation of the Affordable Care Act, the extent to which there would remain a need for publicly funded programs that provide contraceptive services, and how that need would vary on the basis of state Medicaid expansion decisions. Methods. We used nationally representative American Community Survey data (2009), to estimate the insurance status for women in Massachusetts and derived the numbers of adult women at or below 250% of the federal poverty level and adolescents in need of confidential services. We extrapolated findings to simulate the impact of the Affordable Care Act nationally and by state, adjusting for current Medicaid expansion and state Medicaid Family Planning Expansion Programs. Results. The number of low-income women at risk for unintended pregnancy is expected to decrease from 5.2 million in 2009 to 2.5 million in 2016, based on states’ current Medicaid expansion plans. Conclusions. The Affordable Care Act increases women’s insurance coverage and improves access to contraceptive services. However, for women who remain uninsured, publicly funded family planning programs may still be needed.

Objectives. We investigated basic measures used to assess collaboration between colocated providers and to gauge the extent to which health centers practice integrated care. Methods. We used the Assessment of Behavioral Health Services survey and the 2010 Uniform Data System to explore the elements of integrated care for behavioral health conditions. We used multivariable regression models to examine the correlates of integrated care. Results. More than 85% of health centers provided mental health services in 2010, and almost half offered substance use treatment. Health centers commonly reported shared access to information among behavioral health and medical providers and joint care planning. A higher degree of integrated care involving joint case conferences was less common. Health centers without electronic health records and those with lower percentages of total staff composed of behavioral health workers were less likely to provide integrated care. Conclusions. A 2-pronged strategy involving financial incentives and technical assistance to spread best practices might increase integrated care, particularly among health centers that are not maximizing the potential of electronic health records and health centers with low behavioral health staffing levels.

Newly arrived immigrants to the United States typically have lower incomes than similar age native-born counterparts when they arrive, but the immigrant-native gap gradually closes as the immigrants remain for a longer time, improving their job skills, English proficiency and social capital. This paper discusses how recently proposed federal rules that threaten the ability of recent immigrants to attain permanent residency conflict with immigrants’ economic mobility and may ultimately harm not only the immigrants, but the broader economy. Specifically, “public charge” rules propose to prevent immigrants from becoming permanent residents if they have used means-tested public benefits or if they have low incomes or less than a high school education. The rule implicitly assumes that immigrants are poor in their first years in the country will remain poor, despite the evidence that immigrant incomes rise relatively quickly. Analyses presented in this paper, which are consistent with other prior research, show that immigrants start out with lower incomes than those native-born, but gradually catch up. Moreover, immigrants with low education close the immigrant-native income gap even faster, catching up with similar US-born counterparts within six to seven years on average. By making it more difficult for lawful immigrants to remain in the United States, the proposed public charge regulations stifle immigrants’ future opportunities and undercut their ability to contribute to the nation.

Community health centers are at the forefront of ambulatory care practices in their use of nonphysician clinicians and team-based primary care. We examined medical staffing patterns, the contributions of different types of staff to productivity, and the factors associated with staffing at community health centers across the United States. We identified four different staffing patterns: typical, high advanced-practice staff, high nursing staff, and high other medical staff. Overall, productivity per staff person was similar across the four staffing patterns. We found that physicians make the greatest contributions to productivity, but advanced-practice staff, nurses, and other medical staff also contribute. Patterns of community health center staffing are driven by numerous factors, including the concentration of clinicians in communities, nurse practitioner scope-of-practice laws, and patient characteristics such as insurance status. Our findings suggest that other group medical practices could incorporate more nonphysician staff without sacrificing productivity and thus profitability. However, the new staffing patterns that evolve may be affected by characteristics of the practice location or the types of patients served.

Introduction Smoking is highly prevalent among low-income Medicaid beneficiaries and tobacco-cessation benefits are generally available. Nonetheless, use of cessation medications or counseling remains low, and many clinicians are hesitant to urge smokers to quit. This study examines the extent to which physicians provide advice to Medicaid patients about quitting. Methods Data from the 2014–2015 Nationwide Adult Medicaid Consumer Assessment of Health Plans survey were merged with state Medicaid policy variables and analyzed in 2017–2018. Multivariate regression models examined factors associated with smoking status, physician advice to quit smoking, and discussion of cessation medications or other strategies, as well as patients’ ratings of their personal physicians. Results Almost one third (29%) of adult Medicaid beneficiaries smoke. Almost four fifths of smokers with a personal doctor (77%) say their doctor at least sometimes advised quitting and almost half of smokers discussed cessation medications (48%), or another strategy, such as counseling (42%). Smokers’ ratings of satisfaction with their physicians and their health plans rose as the frequency of smoking recommendations increased. Those in Medicaid managed care plans smoked more, but received less advice about cessation medications than those in fee-for-service care. Conclusions Clinicians and Medicaid managed care plans can improve their efforts to motivate Medicaid patients to try to quit smoking. These findings indicate that patients value prevention-oriented advice and give better ratings to physicians and health plans that offer more support and advice about cessation.

ISSUE: The American Health Care Act (AHCA), passed by the U.S. House of Representatives, would repeal and replace the Affordable Care Act. The Congressional Budget Office indicates that the AHCA could increase the number of uninsured by 23 million by 2026. GOAL: To determine the consequences of the AHCA on employment and economic activity in every state. METHODS: We compute changes in federal spending and revenue from 2018 to 2026 for each state and use the PI+ model to project the effects on states’ employment and economies. FINDINGS AND CONCLUSIONS: The AHCA would raise employment and economic activity at first, but lower them in the long run. It initially raises the federal deficit when taxes are repealed, leading to 864,000 more jobs in 2018. In later years, reductions in support for health insurance cause negative economic effects. By 2026, 924,000 jobs would be lost, gross state products would be $93 billion lower, and business output would be $148 billion less. About three-quarters of jobs lost (725,000) would be in the health care sector. States which expanded Medicaid would experience faster and deeper economic losses.

A key method of stabilizing Medicaid coverage is to provide beneficiaries with twelve months of continuous eligibility. Following the passage of the Children's Health Insurance Program Reauthorization Act in 2009, seven states adopted the continuous-eligibility option for children. That policy change led to a 1.8-percentage-point increase in the average length of child enrollment during fiscal year 2010 and increased annual costs for children by about 2.2 percent. The Medicaid and CHIP Payment and Access Commission has recommended offering states the option of giving adults twelve-month continuous eligibility for Medicaid. Our findings suggest that continuous eligibility could promote more stable coverage for adults enrolled in Medicaid at a modest cost.

Issue: The incoming Trump administration and Republicans in Congress are seeking to repeal the Affordable Care Act (ACA), likely beginning with the law’s insurance premium tax credits and expansion of Medicaid eligibility. Research shows that the loss of these two provisions would lead to a doubling of the number of uninsured, higher uncompensated care costs for providers, and higher taxes for low-income Americans. Goal: To determine the state-by-state effect of repeal on employment and economic activity. Methods: A multistate economic forecasting model (PI+ from Regional Economic Models, Inc.) was used to quantify for each state the effects of the federal spending cuts. Findings and Conclusions: Repeal results in a $140 billion loss in federal funding for health care in 2019, leading to the loss of 2.6 million jobs (mostly in the private sector) that year across all states. A third of lost jobs are in health care, with the majority in other industries. If replacement policies are not in place, there will be a cumulative $1.5 trillion loss in gross state products and a $2.6 trillion reduction in business output from 2019 to 2023. States and health care providers will be particularly hard hit by the funding cuts.

Issue: The incoming Trump administration and Republicans in Congress are seeking to repeal the Affordable Care Act (ACA), likely beginning with the law’s insurance premium tax credits and expansion of Medicaid eligibility. Research shows that the loss of these two provisions would lead to a doubling of the number of uninsured, higher uncompensated care costs for providers, and higher taxes for low-income Americans. Goal: To determine the state-by-state effect of repeal on employment and economic activity. Methods: A multistate economic forecasting model (PI+ from Regional Economic Models, Inc.) was used to quantify for each state the effects of the federal spending cuts. Findings and Conclusions: Repeal results in a $140 billion loss in federal funding for health care in 2019, leading to the loss of 2.6 million jobs (mostly in the private sector) that year across all states. A third of lost jobs are in health care, with the majority in other industries. If replacement policies are not in place, there will be a cumulative $1.5 trillion loss in gross state products and a $2.6 trillion reduction in business output from 2019 to 2023. States and health care providers will be particularly hard hit by the funding cuts.

This report analyzes the use of dental services by children enrolled in Medicaid from federal fiscal years (FFY) 2000 to 2010. The number and percent of children receiving dental services under Medicaid climbed continuously over the decade. In FFY 2000, 6.3 million children ages 1 to 20 were reported to receive some form of dental care (either preventive or treatment); the number more than doubled to 15.4 million by FFY 2010. Part of the increase was because the overall number of children covered by Medicaid rose by 12 million (50%), but the percentage of children who received dental care climbed appreciably from 29.3% in FFY 2000 to 46.4% in FFY 2010. In that same time period, the number of children ages 1 to 20 receiving preventive dental services climbed from a reported 5.0 million to 13.6 million, while the percentage of children receiving preventive dental services rose from 23.2% to 40.8%. For children ages 1 to 20 who received dental treatment services, the reported number rose from 3.3 million in FFY 2000 to 7.6 million in FFY 2010. The percentage of children who obtained dental treatment services increased from 15.3% to 22.9%. In FFY 2010, about one sixth of children covered by Medicaid (15.7%) ages 6-14 had a dental sealant placed on a permanent molar. While most states have made steady progress in improving children's access to dental care in Medicaid over the past decade, there is still substantial variation across states and more remains to be done.

Pay for success (PFS) is a type of social impact investing that uses private capital to finance proven prevention programs that help a government reduce public expenditures or achieve greater value. We conducted an analysis of the first eleven PFS projects in the United States to investigate the potential of PFS as a strategy for financing and disseminating interventions aimed at improving population health and health equity. The PFS approach has significant potential for bringing private-sector resources to interventions regarding social determinants of health. Nonetheless, a number of challenges remain, including structuring PFS initiatives so that optimal prevention benefits can be achieved and ensuring that PFS interventions and evaluation designs are based on rigorous research principles. In addition, increased policy attention regarding key PFS payout issues is needed, including the "wrong pockets" problem and legal barriers to using federal Medicaid funds as an investor payout source.

Introduction State Medicaid programs can cover tobacco cessation therapies for millions of low-income smokers in the United States, but use of this benefit is low and varies widely by state. This article assesses the effects of changes in Medicaid benefit policies, general tobacco policies, smoking norms, and public health programs on the use of cessation therapy among Medicaid smokers. Methods We used longitudinal panel analysis, using 2-way fixed effects models, to examine the effects of changes in state policies and characteristics on state-level use of Medicaid tobacco cessation medications from 2010 through 2014. Results Medicaid policies that require patients to obtain counseling to get medications reduced the use of cessation medications by approximately one-quarter to one-third; states that cover all types of cessation medications increased usage by approximately one-quarter to one-third. Non-Medicaid policies did not have significant effects on use levels. Conclusions States could increase efforts to quit by developing more comprehensive coverage and reducing barriers to coverage. Reductions in barriers could bolster smoking cessation rates, and the costs would be small compared with the costs of treating smoking-related diseases. Innovative initiatives to help smokers quit could improve health and reduce health care costs.

Background— American Heart Association (AHA) public policy advocacy strategies are based on its Strategic Impact Goals. The writing group appraised the evidence behind AHA’s policies to determine how well they address the association’s 2020 cardiovascular health (CVH) metrics and cardiovascular disease (CVD) management indicators and identified research needed to fill gaps in policy and support further policy development. Methods and Results— The AHA policy research department first identified current AHA policies specific to each CVH metric and CVD management indicator and the evidence underlying each policy. Writing group members then reviewed each policy and the related metrics and indicators. The results of each review were summarized, and topic-specific priorities and overarching themes for future policy research were proposed. There was generally close alignment between current AHA policies and the 2020 CVH metrics and CVD management indicators; however, certain specific policies still lack a robust evidence base. For CVH metrics, the distinction between policies for adults (age ≥20 years) and children ( Conclusions— AHA’s public policies are generally robust and well aligned with its 2020 CVH metrics and CVD indicators. Areas for further policy development to fill gaps, overarching research strategies, and topic-specific priority areas are proposed.

Programs serving people with disabilities create employment disincentives in the form of public health insurance that ties eligibility to an inability to work. In 2009, insurance coverage decreased with employment for working-age people with disabilities. Health reform has the potential to ameliorate these employment disincentives by reforming the private health insurance system and by severing the link between eligibility for public health insurance and an inability to work. The authors predict the impact of the Affordable Care Act on working-age adults with disabilities using a simulation model based on 2009 American Community Survey data from Massachusetts, which enacted a similar reform in 2006. They estimate that more than 2 million adults with disabilities will gain coverage and that coverage rates will be higher among the employed. Although health reform may remove some existing employment disincentives, implementation issues are key determinants to insurance and employment outcomes.

We measured the impact of the 2008-2010 economic recession on local health departments (LHDs) across the United States. Between 2008 and 2010, we conducted 3 Web-based, cross-sectional surveys of a nationally representative sample of LHDs to assess cuts to budgets, workforce, and programs. By early 2010, more than half of the LHDs (53%) were experiencing cuts to their core funding. In excess of 23 000 LHDs jobs were lost in 2008-2009. All programmatic areas were affected by cuts, and more than half of the LHDs had to reduce or eliminate at least 1 programmatic area. The capacity of LHDs to provide core public health services was undermined by the economic recession.

This study assesses the potential cost savings associated with the use of community health centers, based on econometric analyses of the 2006 Medical Expenditure Panel Survey. After controlling for health status, health insurance coverage, income, age, and other factors, this study finds that patients who receive a majority of their ambulatory care at community health centers have significantly lower annual overall medical expenditures (24%) and ambulatory expenditures (25%) than those who do not. These results are consistent with other studies indicating that, by providing good quality primary care, community health centers can reduce the utilization of other medical services.