Social determinants of health and emergency department utilization in Alabama Children's Health Insurance Program.

OBJECTIVES: Injuries are the leading cause of death among children and youth in the United States, representing a major concern to society and to the public and private health plans covering pediatric patients. Data from ALL Kids, Alabama's Children's Health Insurance Program, were used to evaluate the relationship between community-level social determinants of health (SDOH) and pediatric emergency department (ED) use and differences in these associations by age and race. STUDY DESIGN: This was a retrospective, pooled cross-sectional analysis. METHODS: We used ALL Kids data to identify ED visits (injury and all-cause) among children who were enrolled at any time from 2015 to 2017. Exploratory factor analysis was used to categorize SDOH from 18 selected Census tract-level variables. Multilevel Poisson regression models were used to evaluate the effects of community and individual factors and their interactions. RESULTS: Census tract-level SDOH were grouped as low socioeconomic status (SES), urbanicity, and immigrant-density factors. Low SES and urbanicity factors were associated with ED visits (injury and all-cause). The low SES and urbanicity factors also moderated the association between race and ED visits (injury and all-cause). CONCLUSIONS: The environment in which children live influences their ED use; however, the impact varies by age, race, and Census tract factors. Further studies should focus on specific community factors to better understand the relationship among SDOH, individual characteristics, and ED utilization.

Dental hygienists' scope of practice regulations and preventable non-traumatic dental emergency department visits: A cross-sectional study of 10 U.S. states.

OBJECTIVES: As emergency department (ED) visits for non-traumatic dental complaints continue to rise in the United States (U.S.), some states are implementing initiatives to expand access to the oral health workforce. This study examines the associations between the 2014 Dental Hygiene Professional Practice Index (DHPPI) and preventable dental ED visits. METHODS: In 2020, we used ED data from 10 U.S. states and ordinary least squares models to examine the relationship between the states' DHPPI scores and preventable dental ED use. We stratified regressions by age to examine this relationship across different age cohorts and introduced interaction terms to assess the same relationship among rural and urban residents. RESULTS: On average, 23.8% of all non-traumatic dental ED visits were identified as preventable. Controlling for other factors, a one-point increase in DHPPI scores was associated with a decrease of 0.01 (95% CI -0.03, -0.02) preventable dental ED visits per 1000 county population in each year-quarter. In the age-stratified models, the strength of the association between DHPPI scores and preventable dental ED visits was higher in the 20 to 34 (-0.03, 95% CI -0.04, -0.02), and the 35 to 50 age cohorts (-0.17, 95% CI -0.00, -0.00). U.S. states with DHPPI scores below 60 saw significantly higher preventable dental ED visits among rural residents. CONCLUSIONS: This study demonstrates that stringent state policies regarding the dental hygienist workforce are associated with higher preventable dental ED visits in the U.S. Policy makers and stake holders must address the scope of practice policies to alleviate the burden of access to oral healthcare.

Correction: Adherence to Telemonitoring Therapy for Medicaid Patients With Hypertension: Case Study.

[This corrects the article DOI: 10.2196/29018.].

Characteristics and outcomes associated with two asthma quality of care measures.

OBJECTIVE: We investigated asthma quality measures to understand patient characteristics associated with non-attainment of quality care and measure the association with asthma-related emergency department (ED) visits or inpatient hospitalizations (IPs). METHODS: Using administrative data from ALL Kids, Alabama's Children's Health Insurance Program, from 2013 to 2019 we calculated non-attainment of the Medication Management for Asthma (MMA) and Asthma Medication Ratio (AMR) quality measures. Patient characteristics and asthma-related ED visits and IPs associated with non-attainment of the MMA and AMR measures were assessed using logit regression models and Marginal effects at the mean. RESULTS: Among 2528 children with asthma, 53.2% failed to attain the MMA measure and 8.5% the AMR measure. Prior asthma-related ED visits or IP stays increased likelihood of non-attainment by 14.8 percentage points (95% CI 8.6-20.9) for MMA and 7.3 percentage points (95% CI 2.8-11.8) for AMR. Among 868 children (34.3%) with three years of continuous enrollment, AMR non-attainment was associated with a 6.1 percentage point increase in ED or IP utilization (95% CI 1.3-10.9), however MMA non-attainment was not associated with either outcome. Prior ED visit/IP stay was associated with a 17.2 percentage point (95% CI 8.3-26.1) increase in the likelihood of a subsequent ED visit/IP stay among those with non-attainment MMA and a 15.5 percentage point increase (95% CI 6.9-24.2) for non-attainment AMR. CONCLUSIONS: Patient characteristics associated with non-attainment of asthma quality measures presents actionable evidence to guide improvement efforts as non-attainment AMR increases the risk of subsequent ED visits and IP stays.

Adherence to Telemonitoring Therapy for Medicaid Patients With Hypertension: Case Study.

BACKGROUND: Almost 50% of the adults in the United States have hypertension. Although clinical trials indicate that home blood pressure monitoring can be effective in managing hypertension, the reported results might not materialize in practice because of patient adherence problems. OBJECTIVE: The aims of this study are to characterize the adherence of Medicaid patients with hypertension to daily telemonitoring, identify the impacts of adherence reminder calls, and investigate associations with blood pressure control. METHODS: This study targeted Medicaid patients with hypertension from the state of Texas. A total of 180 days of blood pressure and pulse data in 2016-2018 from a telemonitoring company were analyzed for mean transmission rate and mean blood pressure change. The first 30 days of data were excluded because of startup effects. The protocols required the patients to transmit readings by a specified time daily. Patients not transmitting their readings received an adherence reminder call to troubleshoot problems and encourage transmission. The patients were classified into adherent and nonadherent cohorts; adherent patients were those who transmitted data on at least 80% of the days. RESULTS: The mean patient age was 73.2 (SD 11.7) years. Of the 823 patients, 536 (65.1%) were women, and 660 (80.2%) were urban residents. The adherent cohort (475/823, 57.7%) had mean transmission rates of 74.9% before the adherence reminder call and 91.3% after the call, whereas the nonadherent cohort (348/823, 42.3%) had mean transmission rates of 39% and 58% before and after the call, respectively. From month 1 to month 5, the transmission rates dropped by 1.9% and 10.2% for the adherent and nonadherent cohorts, respectively. The systolic and diastolic blood pressure values improved by an average of 2.2 and 0.7 mm Hg (P<.001 and P=.004), respectively, for the adherent cohort during the study period, whereas only the systolic blood pressure value improved by an average of 1.6 mm Hg (P=.02) for the nonadherent cohort. CONCLUSIONS: Although we found that patients can achieve high levels of adherence, many experience adherence problems. Although adherence reminder calls help, they may not be sufficient. Telemonitoring lowered blood pressure, as has been observed in clinical trials. Furthermore, blood pressure control was positively associated with adherence.

Health services utilization, out-of-pocket expenditure, and underinsurance among insured non-elderly cancer survivors in the United States, 2011-2015.

BACKGROUND: High out-of-pocket (OOP) expenditure and inadequate insurance coverage may adversely affect cancer survivors. We aimed to characterize the extent and correlates of healthcare utilization, OOP expenditures, and underinsurance among insured cancer survivors. METHODS: We used 2011-2015 Medical Expenditure Panel Survey data to identify a nationally representative sample of insured non-elderly adult (age 18-64 years) cancer survivors. We used negative binomial, two-part (logistic and Generalized Linear Model with log link and gamma distribution), and logistic regression models to quantify healthcare utilization, OOP expenditures, and underinsurance, respectively, and identified sociodemographic correlates for each outcome. RESULTS: We identified 2738 insured non-elderly cancer survivors. Adjusted average utilization of ambulatory, non-ambulatory, prescription medication, and dental services was 14.4, 0.51, 24.9, and 1.4 events per person per year, respectively. Higher ambulatory and dental services utilization were observed in older adults, females, non-Hispanic Whites, survivors with a college degree and high income, compared to their counterparts. Nearly all (97.7%) survivors had some OOP expenditures, with a mean adjusted OOP expenditure of $1552 per person per year. Adjusted mean OOP expenditures for ambulatory, non-ambulatory, prescription medication, dental, and other health services were $653, $161, $428, $194, and $83, respectively. Sociodemographic variations in service-specific OOP expenditures were generally consistent with respective utilization patterns. Overall, 8.8% of the survivors were underinsured. CONCLUSION: Many insured non-elderly cancer survivors allocate a substantial portion of their OOP expenditure for healthcare-related services and experience financial vulnerability, resulting in nearly 8.8% of the survivors being underinsured. Utilization of healthcare services varies across sociodemographic groups.

The effect of expanded insurance coverage under the Affordable Care Act on emergency department utilization in New York.

BACKGROUND: One of the proposed benefits of expanding insurance coverage under the Affordable Care Act (ACA) was a reduction in emergency department (ED) utilization for non-urgent visits related to lack of health insurance coverage and access to primary care providers. The objective of this study was to estimate the effect of the 2014 ACA implementation on ED use in New York. METHODS: We used the Healthcare Cost and Utilization Project State Emergency Department and State Inpatient Databases for all outpatient and all inpatient visits for patients admitted through an ED from 2011 to 2016. We focused on in-state residents aged 18 to 64, who were covered under Medicaid, private insurance, or were uninsured prior to the 2014 expansion. We estimated the effect of the expanded insurance coverage on average monthly ED visits volumes and visits per 1000 residents (rates) using interrupted time-series regression analyses. RESULTS: After ACA implementation, overall average monthly ED visits increased by around 3.0%, both in volume (9362; 95% Confidence Intervals [CI]: 1681-17,522) and in rates (0.80, 95% CI:0.12-1.49). Medicaid covered ED visits volume increased by 23,972 visits (95% CI: 16,240 -31,704) while ED visits by the uninsured declined by 13,297 (95% CI:-15,856 - -10,737), and by 1453 (95% CI:-4027-1121) for the privately insured. Medicaid ED visits rates per 1000 residents increased by 0.77 (95% CI:-1.96-3.51) and by 2.18 (95% CI:-0.55-4.92) for those remaining uninsured, while private insurance visits rates decreased by 0.48 (95% CI:-0.79 - -0.18). We observed increases in primary-care treatable ED visits and in visits related to mental health and alcohol disorders, substance use, diabetes, and hypertension. All estimated changes in monthly ED visits after the expansion were statistically significant, except for ED visit rates among Medicaid beneficiaries. CONCLUSION: Net ED visits by adults 18 to 64 years of age increased in New York after the implementation of the ACA. Large increases in ED use by Medicaid beneficiaries were partially offset by reductions among the uninsured and those with private coverage. Our results suggest that efforts to expand health insurance coverage only will be unlikely to reverse the increase in ED use.

US Privacy Laws Go Against Public Preferences and Impede Public Health and Research: Survey Study.

BACKGROUND: Reaping the benefits from massive volumes of data collected in all sectors to improve population health, inform personalized medicine, and transform biomedical research requires the delicate balance between the benefits and risks of using individual-level data. There is a patchwork of US data protection laws that vary depending on the type of data, who is using it, and their intended purpose. Differences in these laws challenge big data projects using data from different sources. The decisions to permit or restrict data uses are determined by elected officials; therefore, constituent input is critical to finding the right balance between individual privacy and public benefits. OBJECTIVE: This study explores the US public's preferences for using identifiable data for different purposes without their consent. METHODS: We measured data use preferences of a nationally representative sample of 504 US adults by conducting a web-based survey in February 2020. The survey used a choice-based conjoint analysis. We selected choice-based conjoint attributes and levels based on 5 US data protection laws (Health Insurance Portability and Accountability Act, Family Educational Rights and Privacy Act, Privacy Act of 1974, Federal Trade Commission Act, and the Common Rule). There were 72 different combinations of attribute levels, representing different data use scenarios. Participants were given 12 pairs of data use scenarios and were asked to choose the scenario they were the most comfortable with. We then simulated the population preferences by using the hierarchical Bayes regression model using the ChoiceModelR package in R. RESULTS: Participants strongly preferred data reuse for public health and research than for profit-driven, marketing, or crime-detection activities. Participants also strongly preferred data use by universities or nonprofit organizations over data use by businesses and governments. Participants were fairly indifferent about the different types of data used (health, education, government, or economic data). CONCLUSIONS: Our results show a notable incongruence between public preferences and current US data protection laws. Our findings appear to show that the US public favors data uses promoting social benefits over those promoting individual or organizational interests. This study provides strong support for continued efforts to provide safe access to useful data sets for research and public health. Policy makers should consider more robust public health and research data use exceptions to align laws with public preferences. In addition, policy makers who revise laws to enable data use for research and public health should consider more comprehensive protection mechanisms, including transparent use of data and accountability.

Assessing the Quality Measure for Follow-up Care After Children's Psychiatric Hospitalizations.

OBJECTIVES: Medicaid and Children's Health Insurance Program plans publicly report quality measures, including follow-up care after psychiatric hospitalization. We aimed to understand failure to meet this measure, including measurement definitions and enrollee characteristics, while investigating how follow-up affects subsequent psychiatric hospitalizations and emergency department (ED) visits. METHODS: Administrative data representing Alabama's Children's Health Insurance Program from 2013 to 2016 were used to identify qualifying psychiatric hospitalizations and follow-up care with a mental health provider within 7 to 30 days of discharge. Using relaxed measure definitions, follow-up care was extended to include visits at 45 to 60 days and visits to a primary care provider. Logit regressions estimated enrollee characteristics associated with follow-up care and, separately, the likelihood of subsequent psychiatric hospitalizations and/or ED visits within 30, 60, and 120 days. RESULTS: We observed 1072 psychiatric hospitalizations during the study period. Of these, 356 (33.2%) received follow-up within 7 days and 566 (52.8%) received it within 30 days. Relaxed measure definitions captured minimal additional follow-up visits. The likelihood of follow-up was lower for both 7 days (-18 percentage points; 95% confidence interval [CI] -26 to -10 percentage points) and 30 days (-26 percentage points; 95% CI -35 to -17 percentage points) regarding hospitalization stays of ≥8 days. Meeting the measure reduced the likelihood of subsequent psychiatric hospitalizations within 60 days by 3 percentage points (95% CI -6 to -1 percentage point). CONCLUSIONS: Among children, receipt of timely follow-up care after a psychiatric hospitalization is low and not sensitive to measurement definitions. Follow-up care may reduce the need for future psychiatric hospitalizations and/or ED visits.

Impact of Mental Health Parity and Addiction Equity Act on Costs and Utilization in Alabama's Children's Health Insurance Program.

OBJECTIVE: The Mental Health Parity and Addiction Equity Act (MHPAEA) of 2008 mandates equivalent insurance coverage for mental health (MH) and substance use disorders (SUD) to other medical and surgical services covered by group insurance plans, Medicaid, and Children's Health Insurance Programs (CHIP). We explored the impact of MHPAEA on enrollees in ALL Kids, the Alabama CHIP. METHODS: We use ALL Kids claims data for October 2008 to December 2014. October 2008 through September 2009 marks the period before MHPAEA implementation. We evaluated changes in MH/SUD-related utilization and program costs and changes in racial/ethnic disparities in the use of MH/SUD services for ALL Kids enrollees using 2-part models. This allowed analyses of changes from no use to any use, as well as in intensity of use. RESULTS: No significant effect was found on overall MH service-use. There were statistically significant increases in inpatient visits and length of stay and some increase in overall MH costs. These increases may not be clinically important and were concentrated in 2009 to 2011. Disparities in utilization between African-American and non-Hispanic white enrollees were somewhat exacerbated, whereas disparities between other minorities and non-Hispanic whites were reduced. CONCLUSIONS: Findings indicate that MHPAEA led to a 14.3% increase in inpatient visits, a 12.5% increase in length of inpatient stay, and a 7.8% increase in MH costs. The increases appear limited to 2009 to 2011, suggesting existing pent-up "needs" among enrollees for added MH/SUD services that resulted in a temporary spike in service use and cost immediately after MHPAEA, which subsequently subsided.

Outcomes Associated With Early Preventive Dental Care Among Medicaid-Enrolled Children in Alabama.

Importance: There is a recommendation for children to have a dental home by 6 months of age, but there is limited evidence supporting the effectiveness of early preventive dental care or whether primary care providers (PCPs) can deliver it. Objective: To investigate the effectiveness of preventive dental care in reducing caries-related treatment visits among Medicaid enrollees. Design, Setting, and Participants: High-dimensional propensity scores were used to address selection bias for a retrospective cohort study of children continuously enrolled in coverage from the Alabama Medicaid Agency from birth between 2008 and 2012, adjusting for demographics, access to care, and general health service use. Exposures: Children receiving preventive dental care prior to age 2 years from PCPs or dentists vs no preventive dental care. Main Outcome and Measures: Two-part models estimated caries-related treatment and expenditures. Results: Among 19 658 eligible children, 25.8% (n = 3658) received early preventive dental care, of whom 44% were black, 37.6% were white, and 16.3% were Hispanic. Compared with matched children without early preventive dental care, children with dentist-delivered preventive dental care more frequently had a subsequent caries-related treatment (20.6% vs 11.3%, P < .001), higher rate of visits (0.29 vs 0.15 per child-year, P < .001), and greater dental expenditures ($168 vs $87 per year, P < .001). Dentist-delivered preventive dental care was associated with an increase in the expected number of caries-related treatment visits by 0.14 per child per year (95% CI, 0.11-0.16) and caries-related treatment expenditures by $40.77 per child per year (95% CI, $30.48-$51.07). Primary care provider-delivered preventive dental care did not significantly affect caries-related treatment use or expenditures. Conclusions and Relevance: Children with early preventive care visits from dentists were more likely to have subsequent dental care, including caries-related treatment, and greater expenditures than children without preventive dental care. There was no association with subsequent caries-related treatment and preventive dental care from PCPs. We observed no evidence of a benefit of early preventive dental care, regardless of the provider. Additional research beyond administrative data may be necessary to elucidate any benefits of early preventive dental care.

An assessment of the CHIP/Medicaid quality measure for ADHD.

OBJECTIVES: We analyzed a standard children's quality measure for attention-deficit/hyperactivity disorder (ADHD) using data from a single state to understand the characteristics of those meeting the measure, potential barriers to meeting the measure, and how meeting the measure affected outcomes. STUDY DESIGN: Retrospective study using claims from Alabama's Children's Health Insurance Program from 1999 to 2012. METHODS: We calculated the quality measure for ADHD care, as specified within CMS' Child Core Set and with an expanded denominator. We described the eligible population meeting the measure, assessed potential barriers, and measured the association with health expenditures using logit regressions and log-Poisson models. RESULTS: Among those receiving ADHD medication, 11% of enrollees were eligible for annual measure calculation during our study period. Calculated as specified by CMS, 38% of enrollees met the measure. Using an expanded denominator of 7615 eligible medication episodes, 14% met all aspects of the measure. Primary reasons for failing to meet the measure were lacking medication coverage (64%) and lacking a follow-up visit within 30 days (62%). The rate of meeting the measure decreased with age and was lower for black enrollees. Health service utilization and costs were greater among children meeting the measure. CONCLUSIONS: Too few children are eligible for inclusion, and systematic differences exist among those who meet the measure. The measure may be sensitive to arbitrary criteria while missing potentially relevant clinical care. Refinements to the measure should be considered to improve generalizability to all children with ADHD and improve clinical relevance. States must consider additional analyses to direct quality improvement.

Health Expenditure Concentration and Characteristics of High-Cost Enrollees in CHIP.

Devising effective cost-containment strategies in public insurance programs requires understanding the distribution of health care spending and characteristics of high-cost enrollees. The aim was to characterize high-cost enrollees in a state's public insurance program and determine whether expenditure inequality changes over time, or with changes in cost-sharing policies or program eligibility. We use 1999-2011 claims and enrollment data from the Alabama Children's Health Insurance Program, ALL Kids. All children enrolled in ALL Kids were included in our study, including multiple years of enrollment (N = 1,031,600 enrollee-months). We examine the distribution of costs over time, whether this distribution changes after increases in cost sharing and expanded eligibility, patient characteristics that predict high-cost status, and examine health services used by high-cost children to identify what is preventable. The top 10% (1%) of enrollees account for about 65.5% (24.7%) of total program costs. Inpatient and outpatient costs are the largest components of costs incurred by high-cost utilizers. Non-urgent emergency department costs are a relatively small portion. Average expenditure increases over time, particularly after expanded eligibility, and the share of costs incurred by the top 10% and 1% increases slightly. Multivariable logistic regression results indicate that infants and older teens, Caucasian children, and those with chronic conditions are more likely to be high-cost utilizers. Increased cost sharing does not reduce cost concentration or average expenditure among high-cost utilizers. These findings suggest that identifying and targeting potentially preventable costs among high-cost utilizers are called for to help reduce costs in public insurance programs.

The Great Recession of 2007-2009 and Public Insurance Coverage for Children in Alabama: Enrollment and Claims Data from 1999-2011.

OBJECTIVES: This study examined the impact of the Great Recession of 2007-2009 on public health insurance enrollment and expenditures in Alabama. Our analysis was designed to provide a framework for other states to conduct similar analyses to better understand the relationship between macroeconomic conditions and public health insurance costs. METHODS: We analyzed enrollment and claims data from Medicaid and the Children's Health Insurance Program (CHIP) in Alabama from 1999 through 2011. We examined the relationship between county-level unemployment rates and enrollment in Medicaid and CHIP, as well as total county-level expenditures in the two programs. We used linear regressions with county fixed effects to estimate the impact of unemployment changes on enrollment and expenditures after controlling for population and programmatic changes in eligibility and cost sharing. RESULTS: A one-percentage-point increase in a county's unemployment rate was associated with a 4.3% increase in Medicaid enrollment, a 0.9% increase in CHIP enrollment, and an overall increase in public health insurance enrollment of 3.7%. Each percentage-point increase in unemployment was associated with a 6.2% increase in total public health insurance expenditures on children, with Medicaid spending rising by 7.5% and CHIP spending rising by 1.8%. In response to the 6.4 percentage-point increase in the state's unemployment rate during the Great Recession, combined enrollment of children in Alabama's public health insurance programs increased by 24% and total expenditures rose by 40%. CONCLUSION: Recessions have a substantial impact on the number of children enrolled in CHIP and Medicaid, and a disproportionate impact on program spending. Programs should be aware of the likely magnitudes of the effects in their budget planning.

Preventive Dental Care and Long-Term Dental Outcomes among ALL Kids Enrollees.

OBJECTIVE: To investigate whether early or regular preventive dental visit (PDV) reduces restorative or emergency dental care and costs for low-income children. STUDY SETTING: Enrollees during 1998-2012 in the Alabama CHIP program, ALL Kids. STUDY DESIGN: Retrospective cohort study using claims data for children continuously enrolled in ALL Kids for at least 4 years. Analyses are conducted separately for children 0-4 years, 4-9 years, and >9 years. For 0-4 years, the intervention of interest is whether they have at least one PDV before age 3. For the other two age groups, interventions of interest are if they have regular PDVs during each of the first 3 years, and if they have claims for a sealant in the first 3 years. Outcomes-namely restorative and emergency dental service and costs-are measured in the fourth year. To account for selection into PDV, a high-dimensional propensity scores approach is utilized. DATA EXTRACTION: Claims data were obtained from ALL Kids. PRINCIPAL FINDINGS: Only sealants are associated with a reduced likelihood of using restorative and emergency services and costs. CONCLUSIONS: Whether PDVs without sealants actually reduce restorative/emergency pediatric dental services is questionable. Further research into benefits of PDV is needed.

Turmoil in the Health Insurance Marketplaces.

The first three years of the Affordable Care Act's Health Insurance Marketplaces have been tumultuous ones, with rapid entry and exit of insurers and recent spikes in premiums. As concerns mount about the stability and viability of the Marketplaces, this brief provides some insight into the forces behind the headlines and presents six options for policymakers to consider.

Initial Impacts of the Patient Care Networks of Alabama Initiative.

OBJECTIVES: To estimate the effects of medical home support on the use of clinical services and Medicaid expenditures. DATA SOURCE: Medicaid claims. STUDY DESIGN: A difference-in-differences model where changes in utilization and expenditures of the intervention group are compared to changes in the nonintervention group. EXTRACTION METHODS: Using Medicaid claims from October 2010 through September 2013, service use and expenditures are measured for 12 months before and 21 months after implementation. Changes for four health status groups are examined separately. PRINCIPAL FINDINGS: The introduction of community-based support was associated with a small reduction in use and no statistically significant overall effect on expenditures. However, among those with chronic and/or mental health conditions, there were modest, statistically significant increases in use of and expenditures for a range of ambulatory and inpatient health care services, while service use for those without these conditions declined. Emergency department use increased for all groups. CONCLUSIONS: Community-based support for medical home practices is associated with a shift in the service mix provided to higher cost, more vulnerable subgroups in Medicaid. Such systems are unlikely to be associated with significant overall cost savings, at least in the short term, but may have other benefits.

Adverse Selection in the Children's Health Insurance Program.

This study investigates whether new enrollees in the Alabama Children's Health Insurance Program have different claims experience from renewing enrollees who do not have a lapse in coverage and from continuing enrollees. The analysis compared health services utilization in the first month of enrollment for new enrollees (who had not been in the program for at least 12 months) with utilization among continuing enrollees. A second analysis compared first-month utilization of those who renew immediately with those who waited at least 2 months to renew. A 2-part model estimated the probability of usage and then the extent of usage conditional on any utilization. Claims data for 826 866 child-years over the period from 1999 to 2012 were used. New enrollees annually constituted a stable 40% share of participants. Among those enrolled in the program, 13.5% renewed on time and 86.5% of enrollees were late to renew their enrollment. In the multivariate 2-part models, controlling for age, gender, race, income eligibility category, and year, new enrollees had overall first-month claims experience that was nearly $29 less than continuing enrollees. This was driven by lower ambulatory use. Late renewals had overall first-month claims experience that was $10 less than immediate renewals. However, controlling for the presence of chronic health conditions, there was no statistically meaningful difference in the first-month claims experience of late and early renewals. Thus, differences in claims experience between new and continuing enrollees and between early and late renewals are small, with greater spending found among continuing and early renewing participants. Higher claims experience by early renewals is attributable to having chronic health conditions.

Enrollment, expenditures, and utilization after CHIP expansion: evidence from Alabama.

OBJECTIVE: In October 2009, Alabama expanded eligibility in its Children's Health Insurance Program (CHIP), known as ALL Kids, from 200% to 300% of the federal poverty level (FPL). We examined the expenditures, utilization, and enrollment behavior of expansion enrollees relative to traditional enrollees (100-200% FPL) and assessed the impact of expansion on total program expenditures. METHODS: We compared unadjusted mean person-month-level expenditures and utilization of expansion enrollees and various categories of existing enrollees and used a 2-part modeling strategy to examine differences after controlling for enrollee characteristics. We used probit models to examine adjusted differences in reenrollment behavior by eligibility category. RESULTS: Expansion enrollees had higher total monthly expenditures ($10.33, P < .05) than traditional ALL Kids enrollees, including higher outpatient ($5.35, P < .001) and dental ($0.85, P < .01) expenditures but lower emergency department (-$1.34, P < .001) expenditures. Expansion enrollees had marginally lower utilization of emergency department services for low-severity conditions and higher utilization of physician outpatient visits. Expansion enrollees were 4.47 percentage points (P < .001) more likely to reenroll before their contract expiration date than traditional ALL Kids enrollees. As of October 2012, expansion enrollees accounted for approximately 20% of ALL Kids enrollment and expenditures. CONCLUSIONS: The expansion population was characterized by moderately higher health expenditures and utilization, and more persistent enrollment relative to fee group enrollees who are subject to the same levels of cost sharing and annual premiums. Although states are prohibited from changing program eligibility until 2019, the costs associated with the expansion population will be important to future policy decisions.