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Background: The Diabetes Health Plan (DHP), a value-based insurance plan that reduces cost sharing, was previously shown to modestly increase employer-level medication adherence. However, it is unclear whether the DHP has a larger impact on individual-level medication adherence among lower- or higher-income beneficiaries. Methods: An employer-level propensity score match was done to identify suitable control employers, followed by individual-level propensity score weighting. These weights were applied to difference-in-difference (DID) models examining 1) the effect of the DHP and 2) the effect of income on changes in adherence to metformin, statins, and ACE/ARBs. The weights were then applied to a differences-in-differences-in-differences (DDD) model to estimate the differential impact of DHP status on changes in adherence by income group. This is a retrospective, quasi-experimental study.Results: There were no significant differences in changes to adherence for any medications between beneficiaries enrolled in the DHP versus standard plans. However, changes in adherence were higher for all medications among those in the highest income strata (>$75,000) versus those in the lowest income strata (Conclusion: We did not find significant associations between the DHP and changes in individual-level medication adherence, even for low-income beneficiaries. New strategies to improve consumer engagement may be needed in order to translate value-based insurance designs into changes in patient behavior.

The study estimated balance billing for out-of-network behavioral health claims and described subscriber characteristics associated with higher billing.Claims data (2011-2014) from a national managed behavioral health organization's employer-sponsored insurance (N=196,034 family-years with out-of-network behavioral health claims) were used to calculate inflation-adjusted annual balance billing-the submitted amount (charged by provider) minus the allowed amount (insurer agreed to pay plus patient cost-sharing) and any discounts offered by the provider. Among family-years with complete sociodemographic data (N=68,659), regressions modeled balance billing as a function of plan and provider supply, subscriber and family-year, and employer characteristics. A two-part model accounted for family-years without balance billing.Among the 50% of family-years with balance billing, mean±SD balance billing was $861±$3,500 (median, $175; 90th percentile, $1,684). Adjusted analysis found balance billing was higher ($523 higher, 95% confidence interval [CI]=$340, $705) for carve-out versus carve-in plans and for health maintenance organization (HMO) enrollees versus non-HMO enrollees ($156, 95% CI=$75, $237); for subscribers with a bachelor's degree, compared with an associate's degree or with a high school diploma or lower (between $172 [95% CI=$228, $116] and $224 [95% CI=$284, $163] higher, respectively); and for subscribers ages 45-54, compared with those ages 35-44 and 18-24 (between $57 [95% CI=$103, $10] and $290 [95% CI=$398, $183] higher, respectively). Balance billing was lower in states with more in-network providers per capita (-$8, 95% CI=-$10, -$5).Balance billing for out-of-network behavioral health claims may be burdensome. Expanded behavioral health networks may improve access.

The Home Health Value-based Purchasing (HHVBP) demonstration, incorporating a payment formula designed to incentivize both high-quality care and quality improvement, is expected to become a national program after 2022, when the demonstration ends. This study investigated the relationship between costs and several quality dimensions, to inform HHVBP policy. Using Medicare cost reports, OASIS and Home Health Compare data for 7,673 home health agencies nationally, we estimated cost functions with instrumental variables for quality. The estimated net marginal costs varied by composite quality measure, baseline quality, and agency size. For four of the five composite quality measures, the net marginal cost was negative for low-quality agencies, suggesting that quality improvement was cost saving for this agency type. As the magnitude of the net marginal cost is commensurate with the payment incentive planned for HHVBP, it should be considered when designing the incentives for HHVBP, to maximize their effectiveness.

Background The extent to which a surgeon's risk aversion influences their clinical decisions remains unknown. We assessed whether a surgeon's attitude toward risk (“risk aversion”) influences their surgical decisions and whether the relationship can be explained by differences in surgeons’ perception of treatment risks and benefits. Materials and methods We presented a series of detailed clinical vignettes to a national sample of surgeons (n = 1,769; 13.4% adjusted response rate) and asked them to complete an instrument that measured how risk averse they are within their clinical practice (scale 6-36; higher number indicates greater risk aversion). For each vignette, participants rated their likelihood of recommending an operation and judged the likelihood of complications or full recovery. We examined whether differences in perceived likelihood of complications versus recovery could explain why risk-averse surgeons may be less likely to recommend an operation. Results Surgeons varied in their self-reported risk aversion score (median = 25, interquartile range[22,28]). Scores did not differ by level of surgeon experience or gender. Risk-averse surgeons were significantly less likely to recommend an operation for patients with exactly the same condition (65.5% for surgeons in highest quartile of risk aversion versus 62.3% for lowest quartile; P = 0.02). However, after controlling for surgeons’ perception of the likelihood of complications versus recovery, there was no longer a significant association between surgeons’ risk aversion and the decision to recommend an operation (64.7% versus 64.8%; P = 0.96). Conclusions Surgeons vary widely in their self-reported risk aversion. Risk-averse surgeons were significantly less likely to recommend an operation, a finding that was explained by a higher perceived probability of post-operative complications than their colleagues.

Purpose: The 2016 U.S. election significantly changed the political landscape for sexual and gender minority (SGM) individuals. The current study assessed the consequences of the election and transition to a new overtly discriminatory administration on the health-related quality of life of SGM adults compared with their cisgender and heterosexual counterparts. Methods: The study used repeated cross-sectional data from the 17 states that administered the sexual orientation and gender identity module in the 2015 and 2018 Behavioral Risk Factor Surveillance System surveys. The sample included 268,851 adult respondents: 12,006 SGM adults (5.35%) and 256,845 cisgender and heterosexual adults (94.65%). Outcomes were frequent (≥14 days in the last month) physical distress, mental distress, limited activity, and/or fair/poor general health. Difference-in-differences estimates were calculated from logistic regression models, controlling for sociodemographic, health care coverage, and chronic medical condition confounders. Results: Compared with the cisgender and heterosexual population, frequent mental distress among SGM adults increased by 5% points, corresponding to a relative increase of 32.5% (p

Objectives To examine changes in carve-out financial requirements (copayments, coinsurance, use of deductibles, and out-of-pocket maxima) following the Mental Health Parity and Addiction Equity Act (MHPAEA). Data source/study setting Specialty mental health benefit design information for employer-sponsored carve-out plans from a national managed behavioral health organization's claims processing engine (2008-2013). Study design This pre-post study reports linear and logistic regression as the main analysis. Data collection/extraction methods NA. Principal findings Copayments for in-network emergency room (-$44.9, 95% CI: -78.3, -11.5; preparity mean: $56.2), outpatient services (eg, individual psychotherapy: -$7.4, 95% CI: -10.5, -4.2; preparity mean: $17.8), and out-of-network coinsurance for emergency room (-11 percentage points, 95% CI: -16.7, -5.4; preparity mean: 38.8 percent) and outpatient (eg, individual psychotherapy: -5.8 percentage points, 95% CI: -10.0, -1.6; preparity mean 41.0 percent) decreased. Probability of family OOP maxima use (29 percentage points, 95% CI: 19.3, 38.6; preparity mean: 36 percent) increased. In-network outpatient coinsurance increased (eg, individual psychotherapy: 4.5 percentage points, 95% CI: 1.1, 7.9; preparity mean: 2.7 percent), as did probability of use of family deductibles (15 percentage points, 95% CI: 6.1, 23.3; preparity mean: 38 percent). Conclusions MHPAEA was associated with increased generosity in most financial requirements observed here. However, increased use of deductibles may have reduced generosity for some patients.

This study explores possible associations of the Mental Health Parity and Addiction Equity Act (MHPAEA) with child access to behavioral health (BH) services (preimplementation = 2008-2009, transition = 2010, and post = 2011-2013). The study sample included children aged 4-17 years in self-insured "carve-in" plans from large employers. In "carve-ins," BH and medical care are covered through the same insurance plan. The unit of analysis is the person-month (N = 61,823,533). This study employs an interrupted time series model allowing for intercept and slope changes for the transition and postparity periods. Outcomes included total, plan and patient out-of-pocket (OOP) expenditures, and several categories of service utilization. Generalized estimating equations were used to account for clustering. There were significant increases in total and plan expenditures postparity. To illustrate, in July 2012, mean per-member-per-month total expenditures were predicted to be $5.65 without parity but $8.72 with parity. Patient OOP costs did not change significantly. Significant overall increases were seen for utilization of most outpatient services but not intermediate or inpatient services. Our findings suggest that the introduction of MHPAEA was associated with an increase in specialty BH service access for children without a commensurate increase in financial burden for families.

Author(s): Duru, O Kenrik; Harwood, Jessica; Moin, Tannaz; Jackson, Nicholas J; Ettner, Susan L; Vasilyev, Arseniy; Mosley, David G; O'Shea, Donna L; Ho, Sam; Mangione, Carol M | Abstract: BackgroundMedical, behavioral, and social determinants of health are each associated with high levels of emergency department (ED) visits and hospitalizations.ObjectiveThe objective of this study was to evaluate a care coordination program designed to provide combined "whole-person care," integrating medical, behavioral, and social support for high-cost, high-need Medicaid beneficiaries by targeting access barriers and social determinants.Research designIndividual-level interrupted time series with a comparator group, using person-month as the unit of analysis.SubjectsA total of 42,214 UnitedHealthcare Medicaid beneficiaries (194,834 person-months) age 21 years or above with diabetes, with Temporary Assistance to Needy Families, Medicaid expansion, Supplemental Security Income without Medicare, or dual Medicaid/Medicare.MeasuresOur outcome measures were any hospitalizations and any ED visits in a given month. Covariates of interest included an indicator for intervention versus comparator group and indicator and spline variables measuring changes in an outcome's time trend after program enrollment.ResultsOverall, 6 of the 8 examined comparisons were not statistically significant. Among Supplemental Security Income beneficiaries, we observed a larger projected decrease in ED visit risk among the intervention sample versus the comparator sample at 12 months postenrollment (difference-in-difference: -6.6%; 95% confidence interval: -11.2%, -2.1%). Among expansion beneficiaries, we observed a greater decrease in hospitalization risk among the intervention sample versus the comparator sample at 12 months postenrollment (difference-in-difference: -5.8%; 95% confidence interval: -11.4%, -0.2%).ConclusionA care coordination program designed to reduce utilization among high-cost, high-need Medicaid beneficiaries was associated with fewer ED visits and hospitalizations for patients with diabetes in selected Medicaid programs but not others.

Author(s): Moin, Tannaz; Harwood, Jessica M; Mangione, Carol M; Jackson, Nicholas; Ho, Sam; Ettner, Susan L; Duru, O Kenrik | Abstract: Background/objectivesMedicaid beneficiaries with diabetes have complex care needs. The Accountable Care Communities (ACC) Program is a practice-level intervention implemented by UnitedHealthcare to improve care for Medicaid beneficiaries. We examined changes in costs and utilization for Medicaid beneficiaries with diabetes assigned to ACC versus usual care practices.Research designInterrupted time series with concurrent control group analysis, at the person-month level. The ACC was implemented in 14 states, and we selected comparison non-ACC practices from those states to control for state-level variation in Medicaid program. We adjusted the models for age, sex, race/ethnicity, comorbidities, seasonality, and state-by-year fixed effects. We examined the difference between ACC and non-ACC practices in changes in the time trends of expenditures and hospital and emergency room utilization, for the 4 largest categories of Medicaid eligibility [Temporary Assistance to Needy Families, Supplemental Security Income (without Medicare), Expansion, Dual-Eligible].Subjects/measuresEligibility and claims data from Medicaid adults with diabetes from 14 states between 2010 and 2016, before and after ACC implementation.ResultsAnalyses included 1,200,460 person-months from 66,450 Medicaid patients with diabetes. ACC implementation was not associated with significant changes in outcome time trends, relative to comparators, for all Medicaid categories.ConclusionsMedicaid patients assigned to ACC practices had no changes in cost or utilization over 3 years of follow-up, compared with patients assigned to non-ACC practices. The ACC program may not reduce costs or utilization for Medicaid patients with diabetes.

We used 2010-16 Medicare Cost Reports for 10,737 freestanding home health agencies (HHAs) to examine the impact of home health (HH) and nursing home (NH) certificate-of-need (CON) laws on HHA caseload, total and per-patient variable costs. After adjusting for other HHA characteristics, total costs were higher in states with only HH CON laws ($2,975,698), only NH CON laws ($1,768,097), and both types of laws ($3,511,277), compared with no CON laws ($1,538,536). Higher costs were driven by caseloads, as CON reduced per-patient costs. Additional research is needed to distinguish whether this is due to skimping on quality vs. economies of scale.

Background There has been little research on the relationship between education and healthcare utilization, especially for racial/ethnic minorities. This study aimed to examine the association between education and hospitalizations, investigate the mechanisms, and disaggregate the relationship by gender, race/ethnicity, and age groups. Methods A retrospective cohort analysis was conducted using data from the 1992-2016 US Health and Retirement Study. The analytic sample consists of 35,451 respondents with 215,724 person-year observations. We employed a linear probability model with standard errors clustered at the respondent level and accounted for attrition bias using an inverse probability weighting approach. Results On average, compared to having an education less than high school, having a college degree or above was significantly associated with an 8.37 pp (95% CI, -9.79 pp to -7.95 pp) lower probability of being hospitalized, and having education of high school or some college was related to 3.35 pp (95% CI, -4.57 pp to -2.14 pp) lower probability. The association slightly attenuated after controlling for income but dramatically reduced once holding health conditions constant. Specifically, given the same health status and childhood environment conditions, compared to those with less than high school degree, college graduates saw a 1.79 pp (95% CI, -3.16 pp to -0.42 pp) lower chance of being hospitalized, but the association for high school graduates became indistinguishable from zero. Additionally, the association was larger for females, whites, and those younger than 78. The association was statistically significantly smaller for black college graduates than their white counterparts, even when health status is held constant. Conclusions Educational attainment is a strong predictor of hospitalizations for middle-aged and older US adults. Health mediates most of the education-hospitalization gradients. The heterogeneous results across age, gender, race, and ethnicity groups should inform further research on health disparities.

IntroductionTo examine the association of a novel disease-specific health plan, known as the Diabetes Health Plan (DHP), with emergency room (ER) and hospital utilization among patients with diabetes and pre-diabetes.Research design and methodsQuasi-experimental design, with employer group as the unit of analysis, comparing changes in any ER and inpatient hospital utilization over a 3-year period. Inverse probability weighting was used to control for differences between employers purchasing DHP versus standard plans. Estimated differences in utilization are calculated as average treatment effects on the treated. We used employees and dependents from employer groups contracting with a large, national private insurer between 2009 and 2012. Eligibility and claims data from continuously covered employees and dependents with diabetes and pre-diabetes (n=74 058) were aggregated to the employer level. The analysis included 9 DHP employers (n=7004) and 183 control employers (n=67 054).ResultsDHP purchase was associated with 2.4 and 1.8 percentage points absolute reduction in mean rates of any ER utilization, representing 13% and 10% relative reductions at 1 and 2 years post-DHP (p=0.012 and p=0.046, respectively). There was no significant association between DHP purchase and hospital utilization.ConclusionEmployers purchasing diabetes-specific health benefit designs may experience lower rates of resource-intensive services such as ER utilization.

ObjectiveThe aim of this study was to understand variation in intraoperative and postoperative utilization for common general surgery procedures.Summary background dataReducing surgical costs is paramount to the viability of hospitals.MethodsRetrospective analysis of electronic health record data for 7762 operations from 2 health systems. Adult patients undergoing laparoscopic cholecystectomy, appendectomy, and inguinal/femoral hernia repair between November 1, 2013 and November 30, 2017 were reviewed for 3 utilization measures: intraoperative disposable supply costs, procedure time, and postoperative length of stay (LOS). Crossed hierarchical regression models were fit to understand case-mixed adjusted variation in utilization across surgeons and locations and to rank surgeons.ResultsThe number of surgeons performing each type of operation ranged from 20 to 63. The variation explained by surgeons ranged from 8.9% to 38.2% for supply costs, from 15.1% to 54.6% for procedure time, and from 1.3% to 7.0% for postoperative LOS. The variation explained by location ranged from 12.1% to 26.3% for supply costs, from 0.2% to 2.5% for procedure time, and from 0.0% to 31.8% for postoperative LOS. There was a positive correlation (ρ = 0.49, P = 0.03) between surgeons' higher supply costs and longer procedure times for hernia repair, but there was no correlation between other utilization measures for hernia repair and no correlation between any of the utilization measures for laparoscopic appendectomy or cholecystectomy.ConclusionsSurgeons are significant drivers of variation in surgical supply costs and procedure time, but much less so for postoperative LOS. Intraoperative and postoperative utilization profiles can be generated for individual surgeons and may be an important tool for reducing surgical costs.

ObjectiveThe study objective was to examine the association between mental health staffing at health centers funded by the Health Resources and Services Administration (HRSA) and patients' receipt of mental health treatment.MethodsData were from the 2014 HRSA-funded Health Center Patient Survey and the 2013 Uniform Data System. Colocation of any mental health staff, including psychiatrists, psychologists, and other licensed staff, was examined. The outcomes of interest were whether a patient received any mental treatment and received any such treatment on site (at the health center). Analyses were conducted with multilevel generalized structural equation logistic regression models for 4,575 patients ages 18-64.ResultsPatients attending health centers with at least one mental health full-time equivalent (FTE) per 2,000 patients had a higher predicted probability of receiving mental health treatment (32%) compared with those attending centers with fewer than one such FTE (24%) or no such staffing (22%). Among patients who received this treatment, those at health centers with no staffing had a significantly lower predicted probability of receiving such treatment on site (28%), compared with patients at health centers with fewer than one such FTE (49%) and with at least one such FTE (65%). The predicted probability of receiving such treatment on site was significantly higher if there was a colocated psychiatrist versus no psychiatrist (58% versus 40%).ConclusionsColocating mental health staff at health centers increases the probability of patients' access to such treatment on site as well as from off-site providers.

Home health performance gained visibility with the publication of Home Health Compare and the Home Health Value-Based Payment demonstration. Both provide incentives for home health agencies (HHA) to invest in quality improvements. The objective of this study is to identify the association between quality initiatives adopted by HHAs and improved performance. A 2018 national survey of 7459 HHAs, yielding a sample of 1192 eligible HHAs, provided information about 23 quality initiatives, which was linked to 5 composite Super Quality Measures (SQMs): ADL/pain, self-treatment, timely care, hospitalizations, and patient experience. Exclusions for missing data and outliers yielded a final analytical sample of 903 HHAs. Regression models estimated associations between quality initiatives and SQMs. The relationships between sixteen of the SQM/quality initiative pairs were positively associated with improvement and 7 were negatively associated. Web-based technologies for staff and care-givers improved performance but deteriorated patient experience. Web support-groups for staff and review of HHC rankings reduced hospitalization rates. While this study offers insights for quality improvement, a limitation may be a lack of sensitivity to the nuances of quality improvement implementation. Therefore, this study should be viewed as hypothesis-generating concerning initiatives likely to have the greatest potential meriting further investigation.

Background To determine if requiring Dual Eligible Special Need Plans (D-SNPs) to receive approval from the National Committee of Quality Assurance and contract with state Medicaid agencies impacts healthcare utilization. Methods We use a Multiple Interrupted Time Series to examine the association of D-SNP regulations with dichotomized measures of emergency room (ER) and hospital utilization. Our treatment group is elderly D-SNP enrollees. Our comparison group is near-elderly (ages 60–64) beneficiaries enrolled in Medicaid Managed Care plans (N = 360,405). We use segmented regression models to estimate changes in the time-trend and slope of the outcomes associated with D-SNP regulations, during the post-implementation (2012–2015) period, relative to the pre-implementation (2010–2011) period. Models include a treatment-status indicator, a monthly time-trend, indicators and splines for the post-period and the interactions between these variables. We conduct the following sensitivity analyses: (1) Re-estimating models stratified by state (2) Estimating models including interactions of D-SNP implementation variables with comorbidity count to assess for differential D-SNP regulation effects across comorbidity level. (3) Re-estimating the models stratifying by race/ethnicity and (4) Including a transition period (2012–2013) in the model. Results We do not find any statistically significant changes in ER or hospital utilization associated with D-SNP regulation implementation in the broad D-SNP population or among specific racial/ethnic groups; however, we do find a reduction in hospitalizations associated with D-SNP regulations in New Jersey (DD level = − 3.37%; p = 0.02)/(DD slope = − 0.23%; p = 0.01) and among individuals with higher, relative to lower levels of co-morbidity (DDD slope = − 0.06%; p = 0.01). Conclusions These findings suggest that the impact of D-SNP regulations varies by state. Additionally, D-SNP regulations may be particularly effective in reducing hospital utilization among beneficiaries with high levels of co-morbidity.

OBJECTIVE: Adverse selection in medical insurance is well documented; however, little is known about the role of behavioral health. This study’s objective was to examine the probability of being enrolled in the lowest-deductible plan among commercially insured patients, according to psychiatric diagnosis. METHODS: This cross-sectional study used 2012–2013 benefit design and plan choice data linked to 2011–2012 behavioral health claims for a national sample of individuals (N=116,975) and different family types (couple with at least one dependent, N=59,237; single subscriber with at least one dependent, N=19,066; couple with no dependents, N=40,917) with Optum, UnitedHealth Group “carve-in” plans. Analyses included multiple logistic regressions examining whether the individual (or family) was enrolled in the plan with the lowest-deductible as functions of whether individuals (or family members) had any psychiatric diagnosis, the number of psychiatric diagnoses they had, and whether they had individual major psychiatric diagnoses. RESULTS: For individuals, having any psychiatric diagnosis was associated with an increase of about 10% in the probability of being enrolled in the lowest-deductible plan compared with having no psychiatric diagnosis (44.9% vs. 40.7%, p=0.04). Each additional psychiatric diagnosis increased this probability by three percentage points (p=0.02). A diagnosis of depression was associated with the largest increase. CONCLUSIONS: When individuals were offered the choice of a health insurance plan, having a prior psychiatric diagnosis (specifically depression) was associated with being enrolled in the lowest-deductible plans. Individuals with depression may anticipate future expenditures and select plans accordingly.

BackgroundPre-diabetes affects one-third of adults in the USA and a subset will progress to type 2 diabetes. Our objective was to determine whether a disease-specific health plan, known as the Diabetes Health Plan (DHP), designed to improve care for persons with pre-diabetes and diabetes also led to lower rates of incident diabetes among adults with pre-diabetes.MethodsWe examined eligibility and claims data from a large payer who offered the DHP to a national sample of employers. We included adult employees and dependents who were continuously covered by the DHP over a 4-year study window. The primary outcome was incident diabetes. We conducted propensity score matching at the employer level to find comparable control employer groups offering standard plans. Using an adjusted logistic regression model at the individual level, we tested the association between DHP employer group status and incident diabetes diagnosis during the 3 years of postbaseline follow-up.FindingsOur analysis included data from 11 965 continuously enrolled adults with pre-diabetes (n=1538 from nine employers offering DHP; n=10 427 from 105 control employers offering standard plans). DHP employees and covered dependents with pre-diabetes had an 8% lower absolute predicted probability of incident diabetes compared with individuals from employer groups offering standard benefit plans (29% predicted probability of incident diabetes for DHP vs 37% for controls, pConclusionsA pre-diabetes-specific health benefit design was associated with lower rates of incident diabetes and represents an area of needed future study.

Life chaos, the perceived inability to plan for and anticipate the future, may be a barrier to the HIV care continuum for people living with HIV who experience incarceration. Between December 2012 and June 2015, we interviewed 356 adult cisgender men and transgender women living with HIV in Los Angeles County Jail. We assessed life chaos using the Confusion, Hubbub, and Order Scale (CHAOS)and conducted regression analyses to estimate the association between life chaos and care continuum. Forty-eight percent were diagnosed with HIV while incarcerated, 14% were engaged in care 12months prior to incarceration, mean antiretroviral adherence was 65%, and 68% were virologically suppressed. Adjusting for sociodemographics, HIV-related stigma, and social support, higher life chaos was associated with greater likelihood of diagnosis while incarcerated, lower likelihood of engagement in care, and lower adherence. There was no statistically significant association between life chaos and virologic suppression. Identifying life chaos in criminal-justice involved populations and intervening on it may improve continuum outcomes.

Background To assess whether implementation of the Mental Health Parity and Addiction Equity Act (MHPAEA) was associated with: 1. Reduced differences in financial requirements (i.e., copayments and coinsurance) for substance use disorder (SUD) versus specialty mental health (MH) care and 2. Reductions in the level of cost-sharing for SUD-specific services. Methods MH and SUD copayments and coinsurance, 2008–2013, were obtained from benefits databases for carve-in and carve-out plans from Optum®. Linear regression was used to estimate the association of MHPAEA with differences between MH and SUD care financial requirements among carve-in and carve-out plans. A two-part regression model investigated whether MHPAEA was associated with changes in the use or level of financial requirements for SUD-specific services among carve-out plans. Results MHPAEA was not associated with significant changes in the difference between SUD and MH copayments or coinsurance levels among either carve-in or carve-out plans. MHPAEA was associated with decreases in the levels of inpatient (in-network: −$51.17; out-of-network: −$34.39) and outpatient (in-network: −$10.26) detox copayments, but increases in the levels of in-network outpatient detox coinsurance (6 percentage points) among all carve-out plans. Conclusion Even if SUD benefits had been historically less generous than MH benefits, SUD financial requirements were already at parity with MH financial requirements by the time MHPAEA was passed, among Optum® plans. MHPAEA’s SUD parity mandate reduced cost-sharing for detox services via copayments, but, for outpatient detox, the law simultaneously increased cost-sharing via coinsurance.

Fear of crime has been associated with mental health outcomes. Yet, causal relationships have not been established. We examined the relationship between fear and mental health while accounting for potential endogeneity. A sample of 2329 adolescents from the Project on Human Development in Chicago Neighborhoods dataset was analyzed to assess the effect of fear of neighborhood violent crime on anxiety/depression. Instrumental variable (IV) methods were used to address endogeneity. There is evidence that the estimated effect of fear on depressive symptoms does not suffer from endogeneity bias in single-equation models. Adolescents who were more fearful had higher anxiety/depression scores. In adjusted analyses, for each one unit increase in fear (in this case, a move from one level of fear to the next), anxiety/depression scores increased by 1.32 points. There is support for the hypothesis that fear of neighborhood violent crime caused an increase in anxiety/depression scores among adolescents. Many programs address exposure to violence as a potential cause of depression, however few address the fear of violent victimization as a cause. Interventions and services should address fear as a root cause of anxiety/depression among adolescents.

The objective of this article is to estimate the relationship of exceeding Temporary Assistance for Needy Families (TANF) time limits, with health insurance, healthcare, and health outcomes. The authors use Heckman selection models that exploit variability in state time-limit duration and timing of policy implementation as identifying exclusion restrictions to adjust the effect estimates of exceeding time limits for possible correlations between the probability of exceeding time limits and unobservable factors influencing the outcomes. The authors find that exceeding time limits decreases the predicted probability of Medicaid coverage, increases the predicted probability of being uninsured, and decreases the predicted probability of annual medical provider contact.

Background Implementation research infrequently addresses economic factors, despite the importance of understanding the costs of implementing evidence-based practices (EBPs). Though partnerships with health economists have the potential to increase attention to economic factors within implementation science, barriers to forming these collaborations have been noted. This study investigated the experiences of health economists and implementation researchers who have partnered across disciplines to inform strategies to increase such collaborations. Methods A purposeful sampling approach was used to identify eight health economists and eight implementation researchers with experience participating in cross-disciplinary research. We used semi-structured interviews to gather information about participants’ experiences with collaborative research. Thematic analysis was conducted to identify core themes related to facilitators and barriers to collaborations. Results Health economists and implementation researchers voiced different perspectives on collaborative research, highlighting the importance of increasing cross-disciplinary understanding. Implementation researchers described a need to measure costs in implementation studies, whereas many health economists described that they seek to collaborate on projects that extend beyond conducting cost analyses. Researchers in both disciplines articulated motivations for collaborative research and identified strategies that promote successful collaboration, with varying degrees of convergence across these themes. Shared motivations included improving methodological rigor of research and making a real-world impact. Strategies to improve collaboration included starting partnerships early in the study design period, having a shared interest, and including health economists in the larger scope of the research. Conclusions Health economists and implementation researchers both conduct research with significant policy implications and have the potential to inform one another’s work in ways that might more rapidly advance the uptake of EBPs. Collaborative research between health economists and implementation science has the potential to advance the field; however, researchers will need to work to bridge disciplinary differences. By beginning to develop strong working relationships; increasing their understanding of one another’s disciplinary culture, methodology, and language; and increasing the role economists have within research design and execution, both implementation researchers and health economists can support successful collaborations and robust and informative research.

This study surveys surgeons’ cost knowledge and ability to distinguish subtle price variations between surgical tools with similar functions or indications.

Objective To document differences among racial/ethnic/gender groups in specialty behavioral health care (BH) utilization/expenditures; examine whether these differences are driven by probability vs intensity of treatment; and identify whether differences are explained by socioeconomic status (SES). Data source The cohort consists of adults continuously enrolled in Optum plans with BH benefits during 2013. Study design We modeled each outcome using linear regressions among the entire sample stratified by race/ethnicity, language and gender. Then, we estimated logistic regressions of the probability that an enrollee had any spending/use in a given service category (service penetration) and linear regressions of spending/use among the user subpopulation (treatment intensity). Lastly, all analyses were rerun with SES controls. Data collection This study links administrative data from a managed BH organization to a commercial marketing database. Principal findings We found that in many cases, racial/ethnic minorities had lower specialty BH expenditures/utilization, relative to whites, primarily driven by differences in service penetration. Among women, relative to whites, Asian non-English speakers, Asian English speakers, Hispanic non-English speakers, Hispanic English speakers, and blacks had $106, $95, $90, $48, and $61 less in total expenditures. SES explained racial/ethnic differences in treatment intensity but not service penetration. Conclusions In this population, SES was not a major driver of racial/ethnic differences in specialty BH utilization. Future studies should explore the role of other factors not studied here, such as stigma, cultural competence, and geography.

IMPORTANCE: Suicide deaths are a leading cause of maternal mortality in the US, yet the prevalence and trends in suicidality (suicidal ideation and/or intentional self-harm) among childbearing individuals remain poorly described. OBJECTIVE: To characterize trends in suicidality among childbearing individuals. DESIGN, SETTING, AND PARTICIPANTS: This serial cross-sectional study analyzed data from a medical claims database for a large commercially insured population in the US from January 2006 to December 2017. There were 2714 diagnoses of suicidality 1 year before or after 698 239 deliveries among 595 237 individuals aged 15 to 44 years who were continuously enrolled in a single commercial health insurance plan. Data were analyzed from October 2019 to September 2020. MAIN OUTCOMES AND MEASURES: The primary outcome was diagnosis of suicidality in childbearing individuals 1 year before or after birth based on the identification of relevant International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM diagnosis codes during at least 1 inpatient or 2 outpatient visits. RESULTS: Of 595 237 included childbearing individuals, the mean (SD) age at delivery was 31.9 (6.4) years. A total of 40 568 individuals (6.8%) were Asian, 52 613 (8.6%) were Black, 73 172 (12.1%) were Hispanic, 369 501 (63.1%) were White, and 59 383 (9.5%) had unknown or missing race/ethnicity data. A total of 2683 individuals were diagnosed with suicidality 1 year before or after giving birth for a total of 2714 diagnoses. The prevalence of suicidal ideation increased from 0.1% per 100 individuals in 2006 to 0.5% per 100 individuals in 2017 (difference, 0.4%; SE, 0.03; P

Objective Did mental health cost-sharing decrease following implementation of the Mental Health Parity and Addiction Equity Act (MHPAEA)? Data Source Specialty mental health copayments, coinsurance, and deductibles, 2008–2013, were obtained from benefits databases for “carve-in” plans from a national commercial managed behavioral health organization. Study Design Bivariate and regression-adjusted analyses compare the probability of use and (conditional) level of cost-sharing pre- and postparity. An interaction term is added to compare differential levels of pre- and postparity cost-sharing changes for plans that were and were not already at parity pre-MHPAEA. Findings Controlling for employer/plan characteristics, MHPAEA is associated with higher intermediate care copayments ($15.9) but lower outpatient ($2.6) copayments among in-network-only plans. Among plans with in- and out-of-network benefits, MHPAEA is associated with lower inpatient ($23.2) and outpatient ($2.5) copayments, but increases in inpatient and intermediate in-network and out-of-network coinsurance (about 1 percentage point). Among the few plans not at parity pre-MHPAEA, changes in use and level of cost-sharing associated with MHPAEA were more dramatic. Conclusion Mixed evidence that MHPAEA led to more generous mental health benefits may stem from the finding that many plans were already at parity pre-MHPAEA. Future policy focus in mental health may shift to slowing growth in cost-sharing for all health services.

The aim of this study was to determine whether exposure to data from a risk calculator influences surgeons' assessments of risk and in turn, their decisions to operate.Little is known about how risk calculators inform clinical judgment and decision-making.We asked a national sample of surgeons to assess the risks (probability of serious complications or death) and benefits (recovery) of operative and nonoperative management and to rate their likelihood of recommending an operation (5-point scale) for 4 detailed clinical vignettes wherein the best treatment strategy was uncertain. Surgeons were randomized to the clinical vignettes alone (control group; n = 384) or supplemented by data from a risk calculator (risk calculator group; n = 395). We compared surgeons' judgments and decisions between the groups.Surgeons exposed to the risk calculator judged levels of operative risk that more closely approximated the risk calculator value (RCV) compared with surgeons in the control group [mesenteric ischemia: 43.7% vs 64.6%, P0.001 (RCV = 25%); gastrointestinal bleed: 47.7% vs 53.4%, P0.001 (RCV = 38%); small bowel obstruction: 13.6% vs 17.5%, P0.001 (RCV = 14%); appendicitis: 13.4% vs 24.4%, P0.001 (RCV = 5%)]. Surgeons exposed to the risk calculator also varied less in their assessment of operative risk (standard deviations: mesenteric ischemia 20.2% vs 23.2%, P = 0.01; gastrointestinal bleed 17.4% vs 24.1%, P0.001; small bowel obstruction 10.6% vs 14.9%, P0.001; appendicitis 15.2% vs 21.8%, P0.001). However, averaged across the 4 vignettes, the 2 groups did not differ in their reported likelihood of recommending an operation (mean 3.7 vs 3.7, P = 0.76).Exposure to risk calculator data leads to less varied and more accurate judgments of operative risk among surgeons, and thus may help inform discussions of treatment options between surgeons and patients. Interestingly, it did not alter their reported likelihood of recommending an operation.

OBJECTIVE: To estimate expenditures for fall-related injuries (FRIs) among older Medicare beneficiaries. DATA SOURCES: The 2007-2009 Medicare claims and 2008 Health and Retirement Study (HRS) data for 5,497 (228 FRI and 5,269 non-FRI) beneficiaries. STUDY DESIGN: FRIs were indicated by inpatient/outpatient ICD-9 diagnostic codes for fractures, trauma, dislocations, and by e-codes. A pre-post comparison group design was used to estimate the differential change in pre-post expenditures for the FRI relative to the non-FRI cohort (FRI expenditures). Out-of-pocket (OOP) costs, service category total annual FRI-related Medicare expenditures, expenditures related to the type of initial FRI treatment (inpatient, ED, outpatient), and the risk of persistently high expenditures (4th quartile for each post-FRI quarter) were estimated. PRINCIPAL FINDINGS: Estimated FRI expenditures were $9,389 (95 percent CI: $5,969-$12,808). Inpatient, physician/outpatient, skilled nursing facility, and home health comprised 31, 18, 39, and 12 percent of the total. OOP costs were $1,363.0 (95 percent CI: $889-$1,837). Expenditures for FRIs initially treated in inpatient/ED/outpatient settings were $21,424/$6,142/$8,622. The FRI cohort had a 64 percent increased risk of persistently high expenditures. Total Medicare expenditures were $13 billion (95 percent CI: $9-$18 billion). CONCLUSIONS: FRIs are associated with substantial, persistent Medicare expenditures. Cost-effectiveness of multifactorial falls prevention programs should be assessed using these expenditure estimates.© Health Research and Educational Trust. Language: en

RESEARCH OBJECTIVE: Policy makers, clinicians, researchers, and the general public are all paying increasing attention to disturbing trends regarding growing rates of maternal mortality. Suicide deaths are a significant contributor to maternal mortality and continue to rise. In this context, we sought to identify trends in suicidal ideation and self‐harm in a large national cohort of privately insured delivering women. STUDY DESIGN: The MAternal Behavioral Health PoLicy Evaluation (MAPLE: R01 MH120124) study uses administrative health plan data to develop predictors and health service utilization outcomes associated with suicidal ideation and self‐harm in this high‐risk patient population. We will present the baseline characteristics of our study population in addition to trends. POPULATION STUDIED: This study includes 1 750 000 privately insured delivering women between 2005 and 2017 using data from a large national database of multiple health plans. The study sample includes women aged 15‐44 continuously enrolled in a single health insurance plan for one year before and one year after delivery. We identified suicidal ideation, self‐harm, depression, and anxiety using ICD‐9 and ICD‐10 diagnosis codes. PRINCIPAL FINDINGS: We found that rates of suicidal ideation rose from 34.8 per 100 000 women in 2005 to 318.7 per 100 000 women in 2017. Rates of intentional self‐harm rose from 34.8 per 100 000 women in 2005 to 122.2 per 100 000 women in 2017. Rates of either suicidal ideation or self‐harm rose from 69.6 per 100 000 women in 2005 to 440.9 per 100 000 women in 2017. Among women with a diagnosis of perinatal depression or anxiety, rates of either suicidal ideation or self‐harm rose from 123.9 per 100 000 women in 2005 to 909.1 per 100 000 women in 2017. Among women without a diagnosis of perinatal depression or anxiety disorder (PMAD), rates of either suicidal ideation or self‐harm rose from 58.2 per 100 000 women in 2005 to 307.9 per 100 000 women in 2017. Stated another way, suicidal ideation rose over eightfold during the observation period, self‐harm increased 2.5 times, and ideation or self‐harm increased over fivefold. Among women with PMAD, ideation or self‐harm among women increased 6.3 times compared to those without PMAD, for whom ideation and self‐harm increased 4.3 times. CONCLUSIONS: Rates of suicidal ideation and self‐harm increased substantially over a thirteen‐year period. Even accounting for potential coding changes associated with conversion from diagnosis using ICD‐9 to ICD‐10, changes in access to mental health care due to mental health parity and the Affordable Care Act during the observation period, these increases remain alarming. Given that publicly insured women typically face higher rates of morbidity and mortality than do those who are privately insured, these statistics likely underrepresent the burden of severe mental distress among all perinatal women. IMPLICATIONS FOR POLICY OR PRACTICE: Policy makers, health plans, and clinicians should ensure access to screening and appropriate treatment for high‐risk delivering and postpartum women and to seek additional health system and policy avenues to mitigating this growing public health crisis. PRIMARY FUNDING SOURCE: National Institutes of Health.

Since the introduction and soaring popularity of the managed behavioral healthcare (BH) "carve-out" model in the 1980s, policymakers have been concerned with their impact on access. In carve-outs, BH and medical benefits are administered separately. Earlier literature found they reduced intensity of service use while maintaining penetration rates. Recently it has become more common for employers to drop existing carve-out contracts, partly due to the Mental Health Parity and Addiction Equity Act (MHPAEA), which placed a greater administrative burden on carve-outs for parity compliance. Although prior studies focused exclusively on the impact of moving from carve-in to carve-out models, it is now more policy-relevant to understand the effects of the move from carve-out to carve-in, which may not be symmetric. Moreover, the natural experiment resulting from MHPAEA implementation may attenuate concerns about selection bias.This study examines how specialty BH care patterns change when employees and dependents are moved from a "carve-out" plan to a "carve-in" plan.Linked insurance claims, eligibility, plan and employer data from 2008-14 were obtained for three Optum( employers who dropped their carve-out contracts but retained their carve-in plans. A longitudinal "difference-in-differences" study design was used to compare changes in BH services use over time among individuals who were: (i) moved to carve-in plans when the employer dropped its carve-out contract (N=177,653); and (ii) enrolled in carve-in plans before and after the transition (N=58,658). Outcomes included total and inpatient expenditures, broken down by plan, patient, and total; outpatient visits for assessment, individual psychotherapy, family psychotherapy, and medication management; and days of structured outpatient care, day treatment, residential care, and acute inpatient care. We pooled person-year observations and estimated regressions including individual fixed effects, year dummies and interactions between indicators for post-transition period and whether transitioned from carve-out to carve-in.Relative to individuals continuously in carve-in plans, those who were transitioned experienced significant increases in inpatient utilization (beta =.02; p=.05) and patient inpatient costs (beta =2.35; p=.01) and decreases in day treatment (beta =-0.01; p=.02). Our conclusions proved robust against potential biases due to differing secular time trends and differential changes in benefits resulting from MHPAEA.The increased inpatient utilization associated with switching from carve-out to carve-in plans is consistent with previous literature. Carve-outs may use day treatment to reduce inpatient care so that increased inpatient utilization post-transition reduced demand for day treatment. Limitations include possible selection bias at the employer level; lack of data on medication and generalist use, quality, clinical endpoints and quality of life; and potential lack of generalizability.The reduction in the use of carve-out contracts by private employers associated with MHPAEA implementation likely did not have a net negative impact and may have actually increased access to care among former carve-out enrollees in need of inpatient services.Policymakers should consider and evaluate possible unintended consequences of legislation designed to improve access to care.Future work should replicate these analyses with a more representative sample.

BACKGROUND: Insurance benefit features play a role in determining access to specialty mental health care. Previous research, primarily examining the effects of copayments, coinsurance, and deductibles in a fee-for-service setting, has concluded that specialty mental health use is highly sensitive to changes in financial requirements. Less is known about the effects of other benefit features and the effects of all of these features in a managed care environment. AIMS OF THE STUDY: Determine whether increased generosity of three types of benefit features was associated with increases in specialty mental health use and expenditures in a managed care setting. Secondary analyses investigated whether these associations varied by income level. METHODS: A first-differences design used linked claims, enrollment, and benefit data for 1,242,949 non-elderly adults (aged 18–64) with employer-sponsored insurance, before (2009) and after (2011) national behavioral health parity implementation. The data were provided by a large national managed behavioral health organization. Benefit design features included combined cost sharing from copayment and coinsurance, deductibles, the presence of annual use limits, cost sharing penalties associated with services used without getting required prior-authorization, and provider network. Outcomes included visits/days, total expenditures and patient out-of-pocket expenditures for individual psychotherapy and inpatient use, with separate values for in-network and out-of-network (OON) service use. Ordinary least squares regression was performed on change scores (2011 minus 2009 values) of all outcomes to implement the first-differences study design and normalize distributions of otherwise heavily skewed (towards zero) variables. Regressions stratified by higher income (>=$75,000) and net worth (>=$100,000) and lower income/net worth were also conducted. RESULTS: For in-network individual psychotherapy, larger increases in cost sharing from copayment and coinsurance were modestly associated with larger decreases in use and total expenditures (β(visits)=−0.00008, p-value=0.030; β(totalexpenditures)=$−0.00629, p-value=0.011), and elimination of treatment limits was associated with larger increases in use (β=0.09637, p-value=0.002) and total expenditures (β=$6.57506, p-value=0.001). These results were observed among all enrollees of plans that covered in-network and out-of-network plans and among a sub-set of these enrollees who did not change plans between 2009 and 2011. Benefit features had fewer associations with inpatient care and OON services. DISCUSSION: Elimination of limits was associated with small average increases in in-network individual psychotherapy utilization and expenditures. Cost sharing sensitivities of individual psychotherapy visits to financial requirements reported here were small, and resembled previous findings based in a managed care setting, which were smaller than findings based on the fee-for-service settings. Cost sharing may not pose a practical barrier to specialty behavioral health for non-elderly adults with employer-sponsored managed care plans. However, the influence of cost sharing may vary by specific healthcare needs, something that should be explored in further research.

The effects of witnessing and experiencing crime have seldom been disaggregated. Little research has assessed the effect of multiple exposures to crime. We assess independent contributions of self-reported crime and area-level crime to adolescent behavioral health outcomes. Cross sectional data on 5519 adolescents from the Comprehensive Community Mental Health Services for Children and their Families Program was linked to FBI crime rate data to assess associations of mutually exclusive categories of self-reported crime exposure and area-level crime rates with mental health and substance abuse. Self-reported crime exposure was significantly associated with poorer behavioral health. Violent victimization had the largest association with all outcomes except internalizing scores. All self-reported crime variables were significantly associated with three of the outcomes. Area-level crime rates were associated with one mental health outcome. Providers should assess direct and indirect crime exposure rather than only focusing on violent victimization.

This study examined specialty behavioral health treatment patterns among employer-insured adults in same- and different-gender domestic partnerships and marriages.The study used behavioral health service claims (2008-2013) from Optum to estimate gender-stratified penetration rates of behavioral health service use by couple type and partnership status among partnered adults ages 18-64 (N=12,727,292 person-years) and levels of use among those with any use (conditional analyses). Least-squares, logistic, and zero-truncated negative binomial regression analyses adjusted for age, employer and plan characteristics, and provider supply and for sociodemographic factors in sensitivity analyses. Generalized estimating equations were used to address within-group correlation of adults clustered in employer groups.Both women and men in same-gender marriages or domestic partnerships had higher rates of behavioral health service use, particularly diagnostic evaluation, individual psychotherapy, and medication management, and those in treatment had, on average, more psychotherapy visits than those in different-gender marriages. Behavioral health treatment patterns were similar between women in same-gender domestic partnerships and same-gender marriages, but they diverged between men in same-gender domestic partnerships and same-gender marriages. Moderation analysis results indicated that adults with same-gender partners living in states with fewer legal protections for lesbian, gay, bisexual, and transgender persons were less likely than adults with same-gender partners in LGBT-friendly states to receive behavioral health treatment. Sensitivity analyses did not affect findings.Behavioral health treatment patterns varied by couple type, partnership status, and gender. Results highlight the importance of increasing service acceptability and delivering inclusive, culturally relevant behavioral health treatment for lesbian, gay, and bisexual persons.

Background At-risk drinking, defined as alcohol use that is excessive or potentially harmful in combination with select comorbidities or medications, affects about 10% of older adults in the United States and is associated with higher mortality. The Project SHARE intervention, which uses patient and provider educational materials, physician counseling, and health educator support, was designed to reduce at-risk drinking among this vulnerable population. Although an earlier study showed that this intervention was successful in reducing rates of at-risk drinking, it is unknown whether these reductions translate into improved health and health-related quality of life (HRQL). Objective The aim of this study was to examine changes in health and HRQL of older adult at-risk drinkers resulting from a patient–provider educational intervention. Research design A randomized controlled trial to compare the health and HRQL outcomes of patients assigned to the Project SHARE intervention vs. care as usual at baseline, 6- and 12-months post assignment. Control patients received usual care, which may or may not have included alcohol counseling. Intervention group patients received a personalized patient report, educational materials on alcohol and aging, a brief provider intervention, and a telephone health educator intervention. Subjects Current drinkers 60years and older accessing primary care clinics around Santa Barbara, California ( N =1049). Measurements Data were collected from patients using baseline, 6- and 12-month mail surveys. Health and HRQL measures included mental and physical component scores (MCS and PCS) based on the Short Form-12v2 (SF-12v2), the SF-6D, which is also based on the SF-12, and the Geriatric Depression Scale (GDS). Adjusted associations of treatment assignment with these outcomes were estimated using generalized least squares regressions with random provider effects. Regressions controlled for age group, sex, race/ethnicity, marital status, education, household income, home ownership and the baseline value of the dependent variable. Results After regression adjustment, the intervention was associated with a 0.58 point (95% CI: −0.06, 1.21) increase in 6-month MCS and a 0.14 point (95% CI: 0.01, 0.26) improvement in 12-month GDS score, compared to the control group. The intervention also increased adjusted SF-6D scores by 0.01 points at both 6 and 12months (6-month 95% CI: 0.01, 0.02; 12-month 95% CI: 0.01, 0.01). Conclusions Despite the previously shown effectiveness of the Project SHARE intervention to reduce at-risk drinking among older adults, this effect translated into effects on health and HRQL that were statistically but not necessarily clinically significant. Effects were most prominent for patients who received physician discussions, suggesting that provider counseling may be a critical component of primary care-based interventions targeting at-risk alcohol use.

© 2015, American Psychiatric Association. All rights reserved. Objective: The study assessed racial-ethnic differences in receipt of mental health services among children enrolled in systems of care under the Children's Mental Health Initiative (CMHI). Methods: Survey data for 3,920 CMHI enrollees were used to estimate the association between race-ethnicity and the number of days in the 12 months postenrollment during which the child received individual psychotherapy, family and group psychotherapy, medication monitoring, assessment and evaluation, case management, residential treatment, and inpatient care. Two-part regressionswith fixedsiteeffectswereestimated to adjust for geography and baseline population differences, including child and caregiver characteristics. Results: Compared with white non-Latino children, African Americans had lower odds of using any individual psychotherapy (odds ratio [OR]=.73, p=.019), family and group psychotherapy (OR=.79, p=.043), and medication monitoring (OR=.51, p

Objective: To compare community engage­ment and planning (CEP) for coalition support to implement depression quality improvement (QI) to resources for services (RS) effects on service-use costs over a 12-month period. Design: Matched health and community programs (N=93) were cluster-randomized within communities to CEP or RS. Setting: Two Los Angeles communities. Participants: Adults (N=1,013) with depressive symptoms (Patient Health Questionnaire (PHQ-8) ≥10); 85% African American and Latino. Interventions: CEP and RS to support pro­grams in depression QI. Main outcome measures: Intervention training and service-use costs over 12 months. Results: CEP planning and training costs were almost 3 times higher than RS, largely due to greater CEP provider training partici­pation vs RS, with no significant differences in 12-month service-use costs. Conclusions: Compared with RS, CEP had higher planning and training costs with simi­lar service-use costs. Ethn Dis. 2018;28(Sup­pl 2):349-356; doi:10.18865/ed.28.S2.349.

Background The federal Mental Health Parity and Addiction Equity Act (MHPAEA) sought to eliminate historical disparities between behavioral health and medical health insurance benefits among the commercially insured. This study determines whether MHPAEA was associated with increased BH expenditures and utilization among a population with substance use disorder (SUD) diagnoses. Methods Claims and eligibility data from 5,987,776 enrollees, 2008–2013, were obtained from a national, commercial, managed behavioral health organization. An interrupted time series study design with segmented regression analysis estimated time trends of per-member-per-month (PMPM) spending and use before (2008–2009), during (2010), and after (2011−2013) MHPAEA compliance. The study sample contained individuals with drug or alcohol use disorder diagnosis during study period (N=2,716,473 member-month observations). Outcomes included: total, plan, patient out-of-pocket spending; outpatient utilization (assessment/diagnostic evaluation visits; medication management; individual, group and family psychotherapy, and structured outpatient care); intermediate care utilization (day treatment; recovery home and residential); and inpatient utilization. Results Starting at the beginning of the post-parity period, MHPAEA was associated with increased levels of PMPM total and plan spending ($25.80 [p=0.01]; $28.33 [p=0.00], respectively), as well as the number of PMPM assessment/evaluation, individual psychotherapy, and group psychotherapy visits, and inpatient days (0.01 visits [p=0.01]; 0.02 visits [p=0.01]; 0.01 visits [p=0.03]; 0.01days [p=0.01], respectively). Following these initial level changes, MHPAEA was also associated with monthly increases in PMPM total, plan, and patent out-of-pocket spending ($2.56/month [p=0.00]; $2.25/month [p=0.00]; $0.27 [p=0.03], respectively), as well as structured outpatient visits and inpatient days (0.0012 visits/month [p=0.01]; 0.0012days/month [p=0.00]). Conclusion MHPAEA was associated with modest increases in total, plan, and patient out-of-pocket spending and outpatient and inpatient utilization. These increases, while modest in magnitude, are larger in magnitude than increases detected among a sample of all enrollees (i.e. not only those with SUD diagnoses).

To determine whether a treating oncologist's characteristics are associated with variation in use of chemotherapy for patients with advanced non-small cell lung cancer (aNSCLC) at the end of life.Retrospective cohort.Using the 2009 Surveillance, Epidemiology, and End Results-Medicare database, we studied chemotherapy receipt within 30 days of death among Medicare enrollees who were diagnosed with aNSCLC between 1999 and 2006, received chemotherapy, and died within 3 years of diagnosis. A multilevel model was constructed to assess the contribution of patient and physician characteristics and geography to receiving chemotherapy within 30 days of death.Among 21,894 patients meeting eligibility criteria, 43.1% received chemotherapy within 30 days of death. In unadjusted bivariate analyses, female sex, Asian or black race, older age, and a greater number of comorbid diagnoses predicted lower likelihood of receiving chemotherapy at the end of life (P ≤.038 for all comparisons). Adjusting for patient and physician characteristics, physicians in small independent practices were substantially more likely than those employed in other practice models, particularly academic practices or nongovernment hospitals, to order chemotherapy for a patient in the last 30 days of life (P.001 for all comparisons); female physicians were less likely than males to prescribe such treatment (P = .04).Patients receiving care for aNSCLC in small independent oncology practices are more likely to receive chemotherapy in the last 30 days of life.

The Personal Responsibility Work Opportunity and Reconciliation Act (PRWORA) of 1996 imposed time limits on the receipt of welfare cash benefits and mandated cash benefit sanctions for failure to meet work requirements. Many studies examining the health implications of PRWORA have found associated declines in health insurance coverage and healthcare utilization among single mothers but no impact of PRWORA on health outcomes. A limitation of this literature is that most studies cover a time period before time limits were implemented in all states and also before individuals began actually timing out. This work builds on previous studies by exploring this research question using data from the Survey of Income and Program Participation that covers a time period after all states have implemented time limits (1991-2009). We use a difference-in-differences study design that exploits variability in eligibility for cash welfare benefits by marital status and state-level variation in timing of PRWORA implementation to identify the effect of PRWORA. Using ordinary least square regression models, controlling for state-level and federal policies, individual-level demographics and state and year fixed-effects, we find that PRWORA leads to 7 and 5 percentage point increases in self-reported poor health and self-reported disability among white single mothers without a diploma, respectively.

ObjectiveThe Mental Health Parity and Addiction Equity Act (MHPAEA) significantly changed regulations governing behavioral health benefits for large, commercially insured employers. Pre-MHPAEA, many plans covered only a specific number of behavioral health treatment days or visits; post-MHPAEA, such quantitative treatment limits (QTLs) were allowed only if they were "at parity" with medical-surgical limits. This study assessed MHPAEA's effect on the prevalence of behavioral health QTLs.MethodsAnalyses used 2008-2013 specialty behavioral health benefit design data for Optum large-group plans, both carve-outs (N=2,257 plan-years, corresponding to 1,527 plans and 40 employers) and carve-ins (N=11,644 plan-years, 3,569 plans, and 340 employers). Descriptive statistics were calculated for limits existing at parity implementation, distinguished by accumulation period (annual or lifetime), level of care (inpatient, intermediate, or outpatient), unit (days, visits, or courses), condition, and network level. Proportions of plans using specific limits during the preparity (2008-2009), transition (2010), and postparity (2011-2013) periods were compared with Fisher's exact tests.ResultsPreparity, the most common QTLs were annual visit or day limits. Accounting for overlap in limit types, 89% of regular carve-out plans, 90% of in-network-only carve-outs, and 77% of carve-in plans limited outpatient visits; 66% of regular carve-out plans, 74% of in-network-only carve-outs, and 73% of carve-ins limited inpatient or intermediate days. Postparity, QTLs almost entirely disappeared (p

Rationale Falls are common among older adults and may be related to depressive symptoms (DS). With advancing age, there is an onset of chronic conditions, sensory impairments, and activity limitations that are associated with falls and with depressive disorders. Prior cross-sectional studies have observed significant associations between DS and subsequent falls as well as between fractures and subsequent clinical depression and DS. Objective The directionality of these observed relationship between falls and DS is in need of elaboration given that cross-sectional study designs can yield biased estimates of the DS-falls relationship. Methods Using 2006–2010 Health and Retirement Study data, cross-lagged panel structural equation models were used to evaluate associations between falls and DS among 7233 community-dwelling adults ages ≥65. Structural coefficients between falls and DS (in 2006→2008, 2008→2010) were estimated. Results A good-fitting model was found: Controlling for baseline (2006) physical functioning, vision, chronic conditions, and social support and neighborhood social cohesion, falls were not associated with subsequent DS, but a 0.5 standard deviation increase in 2006 DS was associated with a 30% increase in fall risk two years later. This DS-falls relationship was no longer significant when use of psychiatric medications, which was positively associated with falls, was included in the model. Conclusion Using sophisticated methods and a large U.S. sample, we found larger magnitudes of effect in the DS-falls relationship than in prior studies—highlighting the risk of falls for older adults with DS. Medical providers might assess older individuals for DS as well as use of psychotropic medications as part of a broadened falls prevention approach. National guidelines for fall risk assessments as well as quality indicators for fall prevention should include assessment for clinical depression.

BackgroundFalls and fall-related injuries (FRI) are common and costly occurrences among older adults living in the community, with increased risk for those with physical and cognitive limitations. Caregivers provide support for older adults with physical functioning limitations, which are associated with fall risk.DesignUsing the 2004-2012 waves of the Health and Retirement Study, we examined whether receipt of low (0-13 weekly hours) and high levels (≥14 weekly hours) of informal care or any formal care is associated with lower risk of falls and FRIs among community-dwelling older adults. We additionally tested whether serious physical functioning (≥3 activities of daily living) or cognitive limitations moderated this relationship.ResultsCaregiving receipt categories were jointly significant in predicting noninjurious falls (P=0.03) but not FRIs (P=0.30). High levels of informal care category (P=0.001) and formal care (P

Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. Objective: The federal Mental Health Parity and Addiction Equity Act (MHPAEA) sought to eliminate historical disparities between insurance coverage for behavioral health (BH) treatment and coverage for medical treatment. Our objective was to evaluate MHPAEA's impact on BH expenditures and utilization among "carve-in" enrollees. Methods: We received specialty BH insurance claims and eligibility data from Optum, sampling 5,987,776 adults enrolled in selfinsured plans from large employers. An interrupted time series study design with segmented regression analysis estimated monthly time trends of per-member spending and use before (2008-2009), during (2010), and after (2011-2013) MHPAEA compliance (N = 179,506,951 member-month observations). Outcomes included: total, plan, patient out-of-pocket spending; outpatient utilization (assessment/diagnostic evaluation visits, medication management, individual and family psychotherapy); intermediate care utilization (structured outpatient, day treatment, residential); and inpatient utilization. Results: MHPAEA was associated with increases in monthly permember total spending, plan spending, assessment/diagnostic evaluation visits [respective immediate increases of: $1.05 (P = 0.02); $0.88 (P = 0.04); 0.00045 visits (P = 0.00)], and individual psychotherapy visits [immediate increase of 0.00578 visits (P = 0.00) and additional increases of 0.00017 visits/mo (P = 0.03)]. Conclusions: MHPAEA was associated with modest increases in total and plan spending and outpatient utilization; for example, in July 2012 predicted per-enrollee plan spending was $4.92 without MHPAEA and $6.14 with MHPAEA. Efforts should focus on understanding how other barriers to BH care unaddressed by MHPAEA may affect access/utilization. Future research should evaluate effects produced by the Affordable Care Act's inclusion of BH care as an essential health benefit and expansion of MHPAEA protections to the individual and small group markets.

Objectives To compare the strength of the association between depression and mortality between elderly and younger individuals with diabetes mellitus. Design A survival analysis conducted in a longitudinal cohort study of persons with diabetes mellitus to test the association between depression and mortality in older (≥65) and younger (18-65) adults. Setting Managed care. Participants Persons aged 18 and older with diabetes mellitus who participated in the Wave 2 survey of the Translating Research Into Action for Diabetes (TRIAD) Study (N = 3,341). Measurements The primary outcome was mortality risk, which was measured as days until death using linked data from the National Death Index. Depression was measured using the Patient Health Questionnaire. Results After controlling for age, sex, race and ethnicity, income, and other comorbidities, mortality risk in persons with diabetes mellitus was 49% higher in those with depression than in those without, although results varied according to age. After controlling for the same variables, mortality risk in persons aged 65 and older with depression was 78% greater than in those without. For those younger than 65, the effect of depression on mortality was smaller and not statistically significant. Conclusion This analysis suggests that the effect of depression on mortality in persons with diabetes mellitus is most significant for older adults. Because there is evidence in the literature that treatment of depression in elderly adults can lead to lower mortality, these results may suggest that older adults with diabetes mellitus should be considered a high-priority population for depression screening and treatment. © 2014, Copyright the Authors Journal compilation © 2014, The American Geriatrics Society.

Objectives: To compare 12-month outpatient healthcare expenditures of at-risk and not-at-risk drinkers aged 60 and older. Design: Secondary analysis of data from Project Senior Health and Alcohol Risk Education, a cluster, randomized trial to test the efficacy of an intervention to reduce at-risk drinking. Setting: Seven primary care clinics in or near Santa Barbara, California. Participants: Current drinkers aged 60 and older who completed a baseline survey (N = 2,779) and did not receive the study intervention, including 628 at-risk drinkers and 2,151 not-at-risk drinkers. Measurements: Comparisons of at-risk and not-at-risk drinkers for baseline demographic characteristics, health indicators, alcohol consumption, and adjusted and unadjusted outpatient healthcare expenditures incurred over 12 months after baseline. Results: At-risk drinkers were younger, more often male, and more likely to be married and had higher education and incomes than not-at-risk drinkers. Unadjusted 12-month mean outpatient healthcare expenditures were $1,333 ± 2,973 for at-risk drinkers and $1,417 ± 2,952 for the not-at-risk drinkers. There were no statistically significant differences in expenditures between groups before and after controlling for sociodemographic and health characteristics. Conclusion: In this short-term study, no adjusted differences in healthcare expenditures were observed between at-risk and not-at-risk older drinkers. Future study is warranted to determine the role of at-risk drinking in long-term healthcare expenditures in older adults.

BackgroundDrug substitution is a promising approach to reducing medication costs.ObjectiveTo calculate the potential savings in a Medicare Part D plan from generic or therapeutic substitution for commonly prescribed drugs.DesignCross-sectional, simulation analysis.ParticipantsLow-income subsidy (LIS) beneficiaries (n = 145,056) and non low-income subsidy (non-LIS) beneficiaries (n = 1,040,030) enrolled in a large, national Part D health insurer in 2007 and eligible for a possible substitution.MeasurementsUsing administrative data from 2007, we identified claims filled for brand-name drugs for which a direct generic substitute was available. We also identified the 50 highest cost drugs separately for LIS and non-LIS beneficiaries, and reached consensus on which drugs had possible therapeutic substitutes (27 for LIS, 30 for non-LIS). For each possible substitution, we used average daily costs of the original and substitute drugs to calculate the potential out-of-pocket savings, health plan savings, and when applicable, savings for the government/LIS subsidy.ResultsOverall, 39 % of LIS beneficiaries and 51 % of non-LIS beneficiaries were eligible for a generic and/or therapeutic substitution. Generic substitutions resulted in an average annual savings of $160 in the case of LIS beneficiaries and $127 in the case of non-LIS beneficiaries. Therapeutic substitutions resulted in an average annual savings of $452 in the case of LIS beneficiaries and $389 in the case of non-LIS beneficiaries.ConclusionsOur findings indicate that drug substitution, particularly therapeutic substitution, could result in significant cost savings. There is a need for additional studies evaluating the acceptability of therapeutic substitution interventions within Medicare Part D.

OBJECTIVE To estimate the effect of preventing postoperative complications on readmission rates and costs. BACKGROUND Policymakers are targeting readmission for quality improvement and cost savings. Little is known regarding mutable factors associated with postoperative readmissions. METHODS Patient records (2005-2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Risk factors, procedure, and 30-day postoperative complications were determined from ACS-NSQIP. The 30-day postoperative readmission and costs were determined from Medicare. Occurrence of a postoperative complication included surgical site infections and cardiac, pulmonary, neurologic, and renal complications. Multivariate regression models predicted the effect of reducing complication rates on risk-adjusted readmission rates and costs by procedure. RESULTS The 30-day postoperative readmission rate was 12.8%. Complication rates for readmitted and nonreadmitted patients were 53% and 16% (P < 0.001). Patients with a postoperative complication had higher predicted probability of readmission and cost of readmission than patients without a complication. For the 20 procedures accounting for the greatest number of readmissions, reducing ACS-NSQIP complication rates by a relative 5% could result in prevention of 2092 readmissions per year and a savings to Medicare of $31.0 million per year. Preventing all ACS-NSQIP complications for these procedures could result in prevention of 41,846 readmissions per year and a savings of $620.3 million per year. CONCLUSIONS This study provides substantial evidence that efforts to reduce postoperative readmissions should begin by focusing on postoperative complications that can be reliably and validly measured. Such an approach will not eliminate all postoperative readmissions but will likely have a major effect on readmission rates.