Comparing Gold-standard Copayment and Coinsurance Values From Claims Processing Engines to Values Derived From Behavioral Health Claims Databases.

BACKGROUND: While researchers use patient expenditures in claims data to estimate insurance benefit features, little evidence exists to indicate whether the resulting measures are accurate. OBJECTIVE: To develop and test an algorithm for deriving copayment and coinsurance values from behavioral health claims data. SUBJECTS: Employer-sponsored insurance plans from 2011 to 2013 for a national managed behavioral health organization (MBHO). MEASURES: Twelve benefit features, distinguishing between carve-in and carve-out, in-network and out-of-network, inpatient and outpatient, and copayment and coinsurance, were created. Measures drew from claims (claims-derived measures), and benefit feature data from a claims processing engine database (true measures). STUDY DESIGN: We calculate sensitivity and specificity of the claims-derived measures' ability to accurately determine if a benefit feature was required and for plan-years requiring the benefit feature, the accuracy of the claims-derived measures. Accuracy rates using the minimum, 25th, 50th, 75th, and maximum claims value for a plan-year were compared. PRINCIPAL FINDINGS: Sensitivity (82% or higher for all but 3 benefit features) and specificity (95% or higher for all but 2 benefit features) were relatively high. Accuracy rates were highest using the 75th or maximum claims value, depending on the benefit feature, and ranged from 69% to 99% for all benefit features except for out-of-network inpatient coinsurance. CONCLUSIONS: For most plan-years, claims-derived measures correctly identify required specialty mental health copayments and coinsurance, although the claims-derived measures' accuracy varies across benefit design features. This information should be considered when creating claims-derived benefit features to use for policy analysis.

Variation in Intraoperative and Postoperative Utilization for 3 Common General Surgery Procedures.

OBJECTIVE: The aim of this study was to understand variation in intraoperative and postoperative utilization for common general surgery procedures. SUMMARY BACKGROUND DATA: Reducing surgical costs is paramount to the viability of hospitals. METHODS: Retrospective 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. RESULTS: The 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. CONCLUSIONS: Surgeons 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.

The Association Between Risk Aversion of Surgeons and Their Clinical Decision-Making.

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.

Trends in Costs of Care and Utilization for Medicaid Patients With Diabetes in Accountable Care Communities.

BACKGROUND/OBJECTIVES: Medicaid 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 DESIGN: Interrupted 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/MEASURES: Eligibility and claims data from Medicaid adults with diabetes from 14 states between 2010 and 2016, before and after ACC implementation. RESULTS: Analyses 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. CONCLUSIONS: Medicaid 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.

Evaluation of a National Care Coordination Program to Reduce Utilization Among High-cost, High-need Medicaid Beneficiaries With Diabetes.

BACKGROUND: Medical, behavioral, and social determinants of health are each associated with high levels of emergency department (ED) visits and hospitalizations. OBJECTIVE: The 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 DESIGN: Individual-level interrupted time series with a comparator group, using person-month as the unit of analysis. SUBJECTS: A 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. MEASURES: Our 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. RESULTS: Overall, 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%). CONCLUSION: A 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.

Life Chaos is Associated with Reduced HIV Testing, Engagement in Care, and ART Adherence Among Cisgender Men and Transgender Women upon Entry into Jail.

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 12 months 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.

The Mental Health Parity and Addiction Equity Act evaluation study: Child and adolescent behavioral health service expenditures and utilization.

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.

Certificate of need and the cost of competition in home healthcare markets.

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.

What Happens When Employers Switch from a "Carve-Out" to a "Carve-In" Model of Managed Behavioral Health?

BACKGROUND: 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. STUDY AIMS: 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. METHODS: 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. RESULTS: 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. DISCUSSION: 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. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: 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. IMPLICATIONS FOR HEALTH POLICIES: Policymakers should consider and evaluate possible unintended consequences of legislation designed to improve access to care. IMPLICATIONS FOR FURTHER RESEARCH: Future work should replicate these analyses with a more representative sample.

The Effects of Three Kinds of Insurance Benefit Design Features on Specialty Mental Health Care Use in Managed Care.

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 (>=USD75,000) and net worth (>=USD100,000) 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 (beta_visits=--0.00008, p-value=0.030; beta_total expenditures=USD--0.00629, p-value=0.011), and elimination of treatment limits was associated with larger increases in use (beta=0.09637, p-value=0.002) and total expenditures (beta=USD6.57506, 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.

12-Month Cost Outcomes of Community Engagement Versus Technical Assistance for Depression Quality Improvement: A Partnered, Cluster Randomized, Comparative-Effectiveness Trial.

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.

The Associations of Area-Level Violent Crime Rates and Self-Reported Violent Crime Exposure with Adolescent Behavioral Health.

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.

Receipt of Caregiving and Fall Risk in US Community-dwelling Older Adults.

BACKGROUND: Falls 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. DESIGN: Using 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. RESULTS: Caregiving 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<0.001) had stronger associations with reduced fall risk relative to low levels of informal care. Among individuals with ≥3 activities of daily living, fall risks were reduced by 21% for those receiving high levels of informal care; additionally, FRIs were reduced by 42% and 58% for those receiving high levels of informal care and any formal care. High levels of informal care receipt were also associated with a 54% FRI risk reduction among the cognitively impaired. CONCLUSIONS: Fall risk reductions among older adults occurred predominantly among those with significant physical and cognitive limitations. Accordingly, policy efforts involving fall prevention should target populations with increased physical functioning and cognitive limitations. They should also reduce financial barriers to informal and formal caregiving.

The Mental Health Parity and Addiction Equity Act Evaluation Study: Impact on Specialty Behavioral Health Care Utilization and Spending Among Carve-In Enrollees.

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 self-insured 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 per-member 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.

Impact of a Risk Calculator on Risk Perception and Surgical Decision Making: A Randomized Trial.

OBJECTIVE: 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. BACKGROUND: Little is known about how risk calculators inform clinical judgment and decision-making. METHODS: 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. RESULTS: 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%, P < 0.001 (RCV = 25%); gastrointestinal bleed: 47.7% vs 53.4%, P < 0.001 (RCV = 38%); small bowel obstruction: 13.6% vs 17.5%, P < 0.001 (RCV = 14%); appendicitis: 13.4% vs 24.4%, P < 0.001 (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%, P < 0.001; small bowel obstruction 10.6% vs 14.9%, P < 0.001; appendicitis 15.2% vs 21.8%, P < 0.001). 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). CONCLUSIONS: 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.

Surgeon Perception of Risk and Benefit in the Decision to Operate.

OBJECTIVE: To determine how surgeons' perceptions of treatment risks and benefits influence their decisions to operate. BACKGROUND: Little is known about what makes one surgeon choose to operate on a patient and another chooses not to operate. METHODS: Using an online study, we presented a national sample of surgeons (N = 767) with four detailed clinical vignettes (mesenteric ischemia, gastrointestinal bleed, bowel obstruction, appendicitis) where the best treatment option was uncertain and asked them to: (1) judge the risks (probability of serious complications) and benefits (probability of recovery) for operative and nonoperative management and (2) decide whether or not they would recommend an operation. RESULTS: Across all clinical vignettes, surgeons varied markedly in both their assessments of the risks and benefits of operative and nonoperative management (narrowest range 4%-100% for all four predictions across vignettes) and in their decisions to operate (49%-85%). Surgeons were less likely to operate as their perceptions of operative risk increased [absolute difference (AD) = -29.6% from 1.0 standard deviation below to 1.0 standard deviation above mean (95% confidence interval, CI: -31.6, -23.8)] and their perceptions of nonoperative benefit increased [AD = -32.6% (95% CI: -32.8,--28.9)]. Surgeons were more likely to operate as their perceptions of operative benefit increased [AD = 18.7% (95% CI: 12.6, 21.5)] and their perceptions of nonoperative risk increased [AD = 32.7% (95% CI: 28.7, 34.0)]. Differences in risk/benefit perceptions explained 39% of the observed variation in decisions to operate across the four vignettes. CONCLUSIONS: Given the same clinical scenarios, surgeons' perceptions of treatment risks and benefits vary and are highly predictive of their decisions to operate.

Claims-based Identification Methods and the Cost of Fall-related Injuries Among US Older Adults.

OBJECTIVES: Compare expenditures of fall-related injuries (FRIs) using several methods to identify FRIs in administrative claims data. RESEARCH DESIGN: Using 2007-2009 Medicare claims and 2008 Health and Retirement Survey data, FRIs were identified using external-cause-of-injury (e-codes 880/881/882/884/885/888) only, e-codes plus a broad set of primary diagnosis codes, and a newer approach using e-codes and diagnostic and procedural codes. Linear regression models adjusted for sociodemographic, health, and geographic characteristics were used to estimate per-FRI, service component, patient cost share, expenditures by type of initial FRI treatment (inpatient, emergency department only, outpatient), and total annual FRI-related Medicare expenditures. SUBJECTS: The analysis included 5497 community-dwelling adults ≥65 (228 FRI, 5269 non-FRI individuals) with continuous Medicare coverage and alive during the 24-month study. RESULTS: The 3 FRI identification methods produced differing distributions of index FRI type and varying estimated expenditures: $12,171 [95% confidence interval (CI), $4662-$19,680], $5648 (95% CI, $3819-$7476), and $9388 (95% CI, $5969-$12,808). In all models, most spending occurred in hospital, outpatient, and skilled nursing facility (SNF) settings, but greater proportions of SNF and outpatient spending were observed with commonly used FRI identification methods. Patient cost-sharing was estimated at $691-$1900 across the 3 methods. Inpatient-treated index FRIs were more expensive than emergency department and outpatient-treated FRIs across all methods, but were substantially higher when identifying FRI using only e-codes. Estimated total FRI-related Medicare expenditures were highly variable across methods. CONCLUSIONS: FRIs are costly, with implications for Medicare and its beneficiaries. However, expenditure estimates vary considerably based on the method used to identify FRIs.

Predictors of Out-of-ACO Care in the Medicare Shared Savings Program.

IMPORTANCE: Patients treated outside of their Medicare Shared Savings Program (MSSP) accountable care organization (ACO) likely benefit less from the ACO's integration of care. Consequently, the MSSP's open-network design may preclude ACOs from improving value in care. OBJECTIVES: Quantify out-of-ACO care in a single urban ACO and examine associations between patient-level predictors and out-of-ACO expenditures. RESEARCH DESIGN: Secondary data analysis using Centers for Medicare and Medicaid ACO Program Claim and Claim Line Feed dataset (dates of service January 1, 2013-December 31, 2013). Two-part modeling was used to examine associations between patient-level predictors and likelihood and level of out-of-ACO expenditures. SUBJECTS: Patients were included if they were prospectively assigned to the MSSP in 2013. Patients were excluded if they declined to share data with the ACO, were not retrospectively confirmed to be in the ACO, or had missing data on covariates. Analytic sample included 11,922 patients. MEASURES: Total out-of-ACO expenditures and out-of-ACO expenditures by place of service. RESULTS: Of total expenditures, 32.9% were paid to out-of-ACO providers, and 89.8% of beneficiaries had out-of-ACO expenditures. The presence of almost all medical comorbidities increased out-of-ACO expenditures ($800-$3000 per comorbidity) across the study population. Racial/ethnic minority groups spent between $1076 and $1422 less outside of the ACO than white patients, which was driven by less out-of-ACO outpatient office expenditures ($417-$517 less for each racial/ethnic minority group). CONCLUSIONS: Out-of-ACO expenditures represented a significant portion of expenditures for the study population. Medically complex patients spent more outside of the ACO and represent an important population to study further.

Individual- and Neighborhood-Level Determinants of Fear of Violent Crime Among Adolescents.

Fear of violent crime is common among adolescents in urban settings; however, little is known about individual- and neighborhood-level determinants of fear. A generalized ordered logit model was used to analyze individual- and neighborhood-level variables among 2474 adolescents. Seeing violence significantly reduced the probability of feeling unafraid, as did higher levels of social disorder. The more block faces where police were visible, the higher the probability of feeling unafraid and lower the probability of feeling very afraid. Reducing fear could affect more people than just reducing crime. Fear-reduction strategies should target those most at risk of becoming fearful.

Adherence to Metformin, Statins, and ACE/ARBs Within the Diabetes Health Plan (DHP).

BACKGROUND: Reducing patient cost-sharing and engaging patients in disease management activities have been shown to increase uptake of evidence-based care. OBJECTIVE: To evaluate the effect of employer purchase of a disease-specific plan with reduced cost-sharing and disease management (the Diabetes Health Plan/DHP) on medication adherence among eligible employees and dependents. DESIGN: Employer-level "intent to treat" cohort study, including data from eligible employees and their dependents with diabetes, regardless of whether they were enrolled in the DHP. SETTING: Employers that contracted with a large national health plan administrator in 2009, 2010, and/or 2011. PARTICIPANTS: Ten employers that purchased the DHP and 191 employers that did not (controls). Inverse probability weighting (IPW) estimation was used to adjust for inter-group differences. INTERVENTION: The DHP includes free or low-cost medications and physician visits. Enrollment strategies and specific benefit designs are determined by the employer and vary in practice. DHP participants are notified up front that they must engage in their own health care (e.g., receiving diabetes-related screening) in order to remain enrolled. MAIN OUTCOME MEASURE: Mean employee adherence to metformin, statins, and ACE/ARBs at the employer level at one year post-DHP implementation, as measured by the proportion of days covered (PDC). RESULTS: Baseline adherence to the three medications was similar across DHP and control employers, ranging from 64 to 69 %. In the first year after DHP implementation, predicted employer-level adherence for metformin (+4.9 percentage points, p = 0.017), statins (+4.8, p = 0.019), and ACE/ARBs (+4.4, p = 0.02) was higher with DHP purchase. LIMITATIONS: Non-randomized, observational study. CONCLUSIONS: The Diabetes Health Plan, an innovative health plan that combines reduced cost-sharing and disease management with an up-front requirement of enrollee participation in his or her own health care, is associated with a modest improvement in medication adherence at 12 months.