Third mortality follow-up of the Mallinckrodt uranium processing workers, 1942-2019.

INTRODUCTION: Mallinckrodt Chemical Works was a uranium processing facility during the Manhattan Project from 1942 to 1966. Thousands of workers were exposed to low-dose-rates of ionizing radiation from external and internal sources. This third follow-up of 2514 White male employees updates cancer and noncancer mortality potentially associated with radiation and silica dust. MATERIALS AND METHODS: Individual, annualized organ doses were estimated from film badge records (n monitored = 2514), occupational chest x-rays (n = 2514), uranium urinalysis (n = 1868), radium intake through radon breath measurements (n = 487), and radon ambient measurements (n = 1356). Silica dust exposure from pitchblende processing was estimated (n = 1317). Vital status and cause of death determination through 2019 relied upon the National Death Index and Social Security Administration Epidemiological Vital Status Service. The analysis included standardized mortality ratios (SMRs), Cox proportional hazards, and Poisson regression models. RESULTS: Vital status was confirmed for 99.4% of workers (84.0% deceased). For a dose weighting factor of 1 for intakes of uranium, radium, and radon decay products, the mean and median lung doses were 65.6 and 29.9 mGy, respectively. SMRs indicated a difference in health outcomes between salaried and hourly workers, and more brain cancer deaths than expected [SMR: 1.79; 95% confidence interval (CI): 1.14, 2.70]. No association was seen between radiation and lung cancer [hazard ratio (HR) at 100 mGy: 0.93; 95%CI: 0.78, 1.11]. The relationship between radiation and kidney cancer observed in the previous follow-up was maintained (HR at 100 mGy: 2.07; 95%CI: 1.12, 3.79). Cardiovascular disease (CVD) also increased significantly with heart dose (HR at 100 mGy: 1.11; 95%CI: 1.02, 1.21). Exposures to dust ≥23.6 mg/m3-year were associated with nonmalignant kidney disease (NMKD) (HR: 3.02; 95%CI: 1.12, 8.16) and kidney cancer combined with NMKD (HR: 2.46; 95%CI: 1.04, 5.81), though without evidence of a dose-response per 100 mg/m3-year. CONCLUSIONS: This third follow-up of Mallinckrodt uranium processors reinforced the results of the previous studies. There was an excess of brain cancers compared with the US population, although no radiation dose-response was detected. The association between radiation and kidney cancer remained, though potentially due to few cases at higher doses. The association between levels of silica dust ≥23.6 mg/m3-year and NMKD also remained. No association was observed between radiation and lung cancer. A positive dose-response was observed between radiation and CVD; however, this association may be confounded by smoking, which was unmeasured. Future work will pool these data with other uranium processing worker cohorts within the Million Person Study.

Screening for the high-need population using single institution versus state-wide admissions discharge transfer feed.

BACKGROUND: Access to programs for high-needs patients depending on single-institution electronic health record data (EHR) carries risks of biased sampling. We investigate a statewide admission, discharge, and transfer feed (ADT) in assessing equity in access to these programs. METHODS: This is a retrospective cross-sectional study. We included high-need patients at Vanderbilt University Medical Center (VUMC) 18 years or older, with at least three emergency visits (ED) or hospitalizations in Tennessee from January 1 to June 30, 2021, including at least one at VUMC. We used the Tennessee ADT database to identify high-need patients with at least one VUMC ED/hospitalization. Then, we compared this population with high-need patients identified using VUMC's Epic® EHR database. The primary outcome was the sensitivity of VUMC-only criteria for identifying high-need patients compared to the statewide ADT reference standard. RESULTS: We identified 2549 patients with at least one ED/hospitalization and assessed them as high-need based on the statewide ADT. Of those, 2100 had VUMC-only visits, and 449 had VUMC and non-VUMC visits. VUMC-only visit screening criteria showed high sensitivity (99.1%, 95% CI: 98.7 - 99.5%), showing that the high-needs patients admitted to VUMC infrequently access alternative systems. Results showed no meaningful difference in sensitivity when stratified by patient's race or insurance. CONCLUSIONS: ADT allows examination for potential selection bias when relying upon single-institution utilization. In VUMC's high-need patients, there's minimal selection bias when depending on same-site utilization. Further research must understand how biases vary by site and durability over time.

Screening for the High-Need Population Using Single Institution Versus State-Wide Admissions Discharge Transfer Feed.

Background: Access to programs for high-needs patients depending on single-institution electronic health record data (EHR) carries risks of biased sampling. We investigate a statewide admissions, discharge, transfer feed (ADT), in assessing equity in access to these programs. Methods: This is a retrospective cross-sectional study. We included high-need patients at Vanderbilt University Medical Center (VUMC), who were 18 years or older, with minimum three emergency visits (ED) or hospitalizations in Tennessee from January 1 to June 30, 2021, including at least one at VUMC. We used the Tennessee ADT database to identify high-need patients with at least one VUMC ED/hospitalization, then compared this population with high-need patients identified using VUMC's Epic® EHR database. The primary outcome was the sensitivity of VUMC-only criteria for identifying high-need patient when compared to statewide ADT reference standard. Results: We identified 2549 patients that had at least one ED/hospitalization and were assessed to be high-need based on the statewide ADT. Of those, 2100 had VUMC-only visits, and 449 had VUMC and non-VUMC visits. VUMC-only visit screening criteria showed high sensitivity (99.1%, 95% CI: 98.7% - 99.5%), indicating that the high-needs patients admitted to VUMC infrequently access alternative systems. Results demonstrated no meaningful difference in sensitivity when stratified by patient's race or insurance. Conclusions: ADT allows examination for potential selection bias when relying upon single-institution utilization. In VUMC's high-need patients, there's minimal selection bias when relying upon same-site utilization. Further research needs to understand how biases may vary by site, and durability over time.

Characterizing hospitalization trajectories in the high-need, high-cost population using electronic health record data.

High utilization by a minority of patients accounts for a large share of health care costs, but the dynamics of this utilization remain poorly understood. We sought to characterize longitudinal trajectories of hospitalization among adult patients at an academic medical center from 2017 to 2023. Among 3404 patients meeting eligibility criteria, following an initial "rising-risk" period of 3 hospitalizations in 6 months, growth mixture modeling discerned 4 clusters of subsequent hospitalization trajectories: no further utilization, low chronic utilization, persistently high utilization with a slow rate of increase, and persistently high utilization with a fast rate of increase. Baseline factors associated with higher-order hospitalization trajectories included admission to a nonsurgical service, full code status, intensive care unit-level care, opioid administration, discharge home, and comorbid cardiovascular disease, end-stage kidney or liver disease, or cancer. Characterizing hospitalization trajectories and their correlates in this manner lays groundwork for early identification of those most likely to become high-need, high-cost patients.

Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States.

Importance: The COVID-19 pandemic has had a distinct spatiotemporal pattern in the United States. Patients with cancer are at higher risk of severe complications from COVID-19, but it is not well known whether COVID-19 outcomes in this patient population were associated with geography. Objective: To quantify spatiotemporal variation in COVID-19 outcomes among patients with cancer. Design, Setting, and Participants: This registry-based retrospective cohort study included patients with a historical diagnosis of invasive malignant neoplasm and laboratory-confirmed SARS-CoV-2 infection between March and November 2020. Data were collected from cancer care delivery centers in the United States. Exposures: Patient residence was categorized into 9 US census divisions. Cancer center characteristics included academic or community classification, rural-urban continuum code (RUCC), and social vulnerability index. Main Outcomes and Measures: The primary outcome was 30-day all-cause mortality. The secondary composite outcome consisted of receipt of mechanical ventilation, intensive care unit admission, and all-cause death. Multilevel mixed-effects models estimated associations of center-level and census division-level exposures with outcomes after adjustment for patient-level risk factors and quantified variation in adjusted outcomes across centers, census divisions, and calendar time. Results: Data for 4749 patients (median [IQR] age, 66 [56-76] years; 2439 [51.4%] female individuals, 1079 [22.7%] non-Hispanic Black individuals, and 690 [14.5%] Hispanic individuals) were reported from 83 centers in the Northeast (1564 patients [32.9%]), Midwest (1638 [34.5%]), South (894 [18.8%]), and West (653 [13.8%]). After adjustment for patient characteristics, including month of COVID-19 diagnosis, estimated 30-day mortality rates ranged from 5.2% to 26.6% across centers. Patients from centers located in metropolitan areas with population less than 250 000 (RUCC 3) had lower odds of 30-day mortality compared with patients from centers in metropolitan areas with population at least 1 million (RUCC 1) (adjusted odds ratio [aOR], 0.31; 95% CI, 0.11-0.84). The type of center was not significantly associated with primary or secondary outcomes. There were no statistically significant differences in outcome rates across the 9 census divisions, but adjusted mortality rates significantly improved over time (eg, September to November vs March to May: aOR, 0.32; 95% CI, 0.17-0.58). Conclusions and Relevance: In this registry-based cohort study, significant differences in COVID-19 outcomes across US census divisions were not observed. However, substantial heterogeneity in COVID-19 outcomes across cancer care delivery centers was found. Attention to implementing standardized guidelines for the care of patients with cancer and COVID-19 could improve outcomes for these vulnerable patients.

Family Characteristics Associated With Child Maltreatment Across the Deployment Cycle of U.S. Army Soldiers.

OBJECTIVE: Soldier deployment can create a stressful environment for U.S. Army families with young children. Prior research has identified elevated rates of child maltreatment in the 6 months immediately following a soldier's return home from deployment. In this study, we longitudinally examine how other child- and family-level characteristics influence the relationship of deployment to risk for maltreatment of dependent children of U.S. Army soldiers. METHODS: We conducted a person-time analysis of substantiated reports and medical diagnoses of maltreatment among the 73,404 children of 56,087 U.S. Army soldiers with a single deployment between 2001 and 2007. Cox proportional hazard models estimated hazard rates of maltreatment across deployment periods and simultaneously considered main effects for other child- and family-level characteristics across periods. RESULTS: In adjusted models, maltreatment hazard was highest in the 6 months following deployment (hazard ratio [HR] = 1.63, p < 0.001). Children born prematurely or with early special needs independently had an increased risk for maltreatment across all periods (HR = 2.02, p < 0.001), as well as those children whose soldier-parent had been previously diagnosed with a mental illness (HR = 1.68, p < 0.001). In models testing for effect modification, during the 6 months before deployment, children of female soldiers (HR = 2.22, p = 0.006) as well as children of soldiers with a mental health diagnosis (HR = 2.78, p = 0.001) were more likely to experience maltreatment, exceeding the risk at all other periods. CONCLUSIONS: Infants and children are at increased risk for maltreatment in the 6 months following a parent's deployment, even after accounting for other known family- and child-level risk factors. However, the risk does not appear to be the same for all soldiers and their families in relation to deployment, particularly for female soldiers and those who had previously diagnosed mental health issues, for whom the risk appears most elevated before deployment. Accounting for the unique needs of high-risk families at different stages of a soldier's deployment cycle may allow the U.S. Army to better direct resources that prevent and address child maltreatment.

Low-Income Working Families With Employer-Sponsored Insurance Turn To Public Insurance For Their Children.

Many families rely on employer-sponsored health insurance for their children. However, the rise in the cost of such insurance has outpaced growth in family income, potentially making public insurance (Medicaid or the Children's Health Insurance Plan) an attractive alternative for affordable dependent coverage. Using data for 2008-13 from the Medical Expenditure Panel Survey, we quantified the coverage rates for children from low- or moderate-income households in which a parent was offered employer-sponsored insurance. Among families in which parents were covered by such insurance, the proportion of children without employer-sponsored coverage increased from 22.5 percent in 2008 to 25.0 percent in 2013. The percentage of children with public insurance when a parent was covered by employer-sponsored insurance increased from 12.1 percent in 2008 to 15.2 percent in 2013. This trend was most pronounced for families with incomes of 100-199 percent of the federal poverty level, for whom the share of children with public insurance increased from 22.8 percent to 29.9 percent. Among families with incomes of 200-299 percent of poverty, uninsurance rates for children increased from 6.0 percent to 9.2 percent. These findings suggest a movement away from employer-sponsored insurance and toward public insurance for children in low-income families, and growth in uninsurance among children in moderate-income families.

Predicting prolonged dose titration in patients starting warfarin.

PURPOSE: Patients initiating warfarin therapy generally experience a dose-titration period of weeks to months, during which time they are at higher risk of both thromboembolic and bleeding events. Accurate prediction of prolonged dose titration could help clinicians determine which patients might be better treated by alternative anticoagulants that, while more costly, do not require dose titration. METHODS: A prediction model was derived in a prospective cohort of patients starting warfarin (n = 390), using Cox regression, and validated in an external cohort (n = 663) from a later time period. Prolonged dose titration was defined as a dose-titration period >12 weeks. Predictor variables were selected using a modified best subsets algorithm, using leave-one-out cross-validation to reduce overfitting. RESULTS: The final model had five variables: warfarin indication, insurance status, number of doctor's visits in the previous year, smoking status, and heart failure. The area under the ROC curve (AUC) in the derivation cohort was 0.66 (95%CI 0.60, 0.74) using leave-one-out cross-validation, but only 0.59 (95%CI 0.54, 0.64) in the external validation cohort, and varied across clinics. Including genetic factors in the model did not improve the area under the ROC curve (0.59; 95%CI 0.54, 0.65). Relative utility curves indicated that the model was unlikely to provide a clinically meaningful benefit compared with no prediction. CONCLUSIONS: Our results suggest that prolonged dose titration cannot be accurately predicted in warfarin patients using traditional clinical, social, and genetic predictors, and that accurate prediction will need to accommodate heterogeneities across clinical sites and over time. Copyright © 2016 John Wiley & Sons, Ltd.

Patients With Hepatocellular Carcinoma Have Highest Rates of Wait-listing for Liver Transplantation Among Patients With End-Stage Liver Disease.

BACKGROUND & AIMS: Despite recent attention to differences in access to livers for transplantation, research has focused on patients already on the wait list. We analyzed data from a large administrative database that represents the entire US population, and state Medicaid data, to identify factors associated with differences in access to wait lists for liver transplantation. METHODS: We performed a retrospective cohort study of transplant-eligible patients with end-stage liver disease using the HealthCore Integrated Research Database (2006-2014; n = 16,824) and Medicaid data from 5 states (2002-2009; California, Florida, New York, Ohio, and Pennsylvania; n = 67,706). Transplant-eligible patients had decompensated cirrhosis, hepatocellular carcinoma (HCC), and/or liver synthetic dysfunction, based on validated International Classification of Diseases, Ninth Revision-based algorithms and data from laboratory studies. Placement on the wait list was determined through linkage with the Organ Procurement and Transplantation Network database. RESULTS: In an unadjusted analysis of the HealthCore database, we found that 29% of patients with HCC were placed on the 2-year wait list (95% confidence interval [CI], 25.4%-33.0%) compared with 11.9% of patients with stage 4 cirrhosis (ascites) (95% CI, 11.0%-12.9%) and 12.6% of patients with stage 5 cirrhosis (ascites and variceal bleeding) (95% CI, 9.4%-15.2%). Among patients with each stage of cirrhosis, those with HCC were significantly more likely to be placed on the wait list; adjusted subhazard ratios ranged from 1.7 (for patients with stage 5 cirrhosis and HCC vs those without HCC) to 5.8 (for patients with stage 1 cirrhosis with HCC vs those without HCC). Medicaid beneficiaries with HCC were also more likely to be placed on the transplant wait list, compared with patients with decompensated cirrhosis, with a subhazard ratio of 2.34 (95% CI, 2.20-2.49). Local organ supply and wait list level demand were not associated with placement on the wait list. CONCLUSIONS: In an analysis of US healthcare databases, we found patients with HCC to be more likely to be placed on liver transplant wait lists than patients with decompensated cirrhosis. Previously reported reductions in access to transplant care for wait-listed patients with decompensated cirrhosis underestimate the magnitude of this difference.

Heterogeneity in the Effects of Reward- and Deposit-based Financial Incentives on Smoking Cessation.

RATIONALE: Targeting different smoking cessation programs to smokers most likely to quit when using them could reduce the burden of lung disease. OBJECTIVES: To identify smokers most likely to quit using pure reward-based financial incentives or incentive programs requiring refundable deposits to become eligible for rewards. METHODS: We conducted prespecified secondary analyses of a randomized trial in which 2,538 smokers were assigned to an $800 reward contingent on sustained abstinence from smoking, a refundable $150 deposit plus a $650 reward, or usual care. MEASUREMENTS AND MAIN RESULTS: Using logistic regression, we identified characteristics of smokers that were most strongly associated with accepting their assigned intervention and ceasing smoking for 6 months. We assessed modification of the acceptance, efficacy, and effectiveness of reward and deposit programs by 11 prospectively selected demographic, smoking-related, and psychological factors. Predictors of sustained smoking abstinence differed among participants assigned to reward- versus deposit-based incentives. However, greater readiness to quit and less steep discounting of future rewards were consistently among the most important predictors. Deposit-based programs were uniquely effective relative to usual care among men, higher-income participants, and participants who more commonly failed to pay their bills (all interaction P values < 0.10). Relative to rewards, deposits were more effective among black persons (P = 0.022) and those who more commonly failed to pay their bills (P = 0.082). Relative to rewards, deposits were more commonly accepted by higher-income participants, men, white persons, and those who less commonly failed to pay their bills (all P < 0.05). CONCLUSIONS: Heterogeneity among smokers in their acceptance and response to different forms of incentives suggests potential benefits of targeting behavior-change interventions based on patient characteristics. Clinical trial registered with www.clinicaltrials.gov (NCT 01526265).

Association of Pediatric Abusive Head Trauma Rates With Macroeconomic Indicators.

OBJECTIVE: We aimed to examine abusive head trauma (AHT) incidence before, during and after the recession of 2007-2009 in 3 US regions and assess the association of economic measures with AHT incidence. METHODS: Data for children <5 years old diagnosed with AHT between January 1, 2004, and December 31, 2012, in 3 regions were linked to county-level economic data using an ecologic time series analysis. Associations between county-level AHT rates and recession period as well as employment growth, mortgage delinquency, and foreclosure rates were examined using zero-inflated Poisson regression models. RESULTS: During the 9-year period, 712 children were diagnosed with AHT. The mean rate of AHT per 100,000 child-years increased from 9.8 before the recession to 15.6 during the recession before decreasing to 12.8 after the recession. The AHT rates after the recession were higher than the rates before the recession (incidence rate ratio 1.31, P = .004) but lower than rates during the recession (incidence rate ratio 0.78, P = .005). There was no association between the AHT rate and employment growth, mortgage delinquency rates, or foreclosure rates. CONCLUSIONS: In the period after the recession, AHT rate was lower than during the recession period yet higher than the level before the recession, suggesting a lingering effect of the economic stress of the recession on maltreatment risk.

Quality of Health Insurance Coverage and Access to Care for Children in Low-Income Families.

IMPORTANCE: An increasing diversity of children's health coverage options under the US Patient Protection and Affordable Care Act, together with uncertainty regarding reauthorization of the Children's Health Insurance Program (CHIP) beyond 2017, merits renewed attention on the quality of these options for children. OBJECTIVE: To compare health care access, quality, and cost outcomes by insurance type (Medicaid, CHIP, private, and uninsured) for children in households with low to moderate incomes. DESIGN, SETTING, AND PARTICIPANTS: A repeated cross-sectional analysis was conducted using data from the 2003, 2007, and 2011-2012 US National Surveys of Children's Health, comprising 80,655 children 17 years or younger, weighted to 67 million children nationally, with household incomes between 100% and 300% of the federal poverty level. Multivariable logistic regression models compared caregiver-reported outcomes across insurance types. Analysis was conducted between July 14, 2014, and May 6, 2015. EXPOSURES: Insurance type was ascertained using a caregiver-reported measure of insurance status and each household's poverty status (percentage of the federal poverty level). MAIN OUTCOMES AND MEASURES: Caregiver-reported outcomes related to access to primary and specialty care, unmet needs, out-of-pocket costs, care coordination, and satisfaction with care. RESULTS: Among the 80,655 children, 51,123 (57.3%) had private insurance, 11,853 (13.6%) had Medicaid, 9554 (18.4%) had CHIP, and 8125 (10.8%) were uninsured. In a multivariable logistic regression model (with results reported as adjusted probabilities [95% CIs]), children insured by Medicaid and CHIP were significantly more likely to receive a preventive medical (Medicaid, 88% [86%-89%]; P < .01; CHIP, 88% [87%-89%]; P < .01) and dental (Medicaid, 80% [78%-81%]; P < .01; CHIP, 77% [76%-79%]; P < .01) visits than were privately insured children (medical, 83% [82%-84%]; dental, 73% [72%-74%]). Children with all insurance types experienced challenges in access to specialty care, with caregivers of children insured by CHIP reporting the highest rates of difficulty accessing specialty care (28% [24%-32%]), problems obtaining a referral (23% [18%-29%]), and frustration obtaining health care services (26% [23%-28%]). These challenges were also magnified for privately insured children with special health care needs, whose caregivers reported significantly greater problems accessing specialty care (29% [26%-33%]) and frustration obtaining health care services (36% [32%-41%]) than did caregivers of children insured by Medicaid, and a lower likelihood of insurance always meeting the child's needs (63% [60%-67%]) than children insured by Medicaid or CHIP. Caregivers of privately insured children were also significantly more likely to experience out-of-pocket costs (77% [75%-78%]) than were caregivers of children insured by Medicaid (26% [23%-28%]; P < .01) or CHIP (38% [35%-40%]; P < .01). CONCLUSIONS AND RELEVANCE: This examination of caregiver experiences across insurance types revealed important differences that can help guide future policymaking regarding coverage for families with low to moderate incomes.

Testing and Treatment After Adolescent Sexual Assault in Pediatric Emergency Departments.

OBJECTIVE: To examine rates of recommended of testing and prophylaxis for chlamydia, gonorrhea, and pregnancy in adolescents diagnosed with sexual assault across pediatric emergency departments (EDs) and to determine whether specialized sexual assault pathways and teams are associated with performance of recommended testing and prophylaxis. METHODS: In this retrospective study of 12- to 18-year-old adolescents diagnosed with sexual assault at 38 EDs in the Pediatric Hospital Information System database from 2004 to 2013, information regarding routine practice for sexual assault evaluations and presence and year of initiation of specialized ED sexual assault pathways and teams was collected via survey. We examined across-hospital variation and identified patient- and hospital-level factors associated with testing and prophylaxis using logistic regression models, accounting for clustering by hospital. RESULTS: Among 12,687 included cases, 93% were female, 79% were <16 years old, 34% were non-Hispanic white, 38% were non-Hispanic black, 21% were Hispanic, and 52% had public insurance. Overall, 44% of adolescents received recommended testing (chlamydia, gonorrhea, pregnancy) and 35% received recommended prophylaxis (chlamydia, gonorrhea, emergency contraception). Across EDs, unadjusted rates of testing ranged from 6% to 89%, and prophylaxis ranged from 0% to 57%. Presence of a specialized sexual assault pathway was associated with increased rates of prophylaxis even after adjusting for case-mix and temporal trends (odds ratio 1.46, 95% confidence interval 1.15 to 1.86). CONCLUSIONS: Evaluation and treatment of adolescent sexual assault victims varied widely across pediatric EDs. Adolescents cared for in EDs with specialized sexual assault pathways were more likely to receive recommended prophylaxis.

Changes in Young Adult Primary Care Under the Affordable Care Act.

OBJECTIVES: We sought to describe changes in young adults' routine care and usual sources of care (USCs), according to provider specialty, after implementation of extended dependent coverage under the Affordable Care Act (ACA) in 2010. METHODS: We used Medical Expenditure Panel Survey data from 2006 to 2012 to examine young adults' receipt of routine care in the preceding year, identification of a USC, and USC provider specialties (pediatrics, family medicine, internal medicine, and obstetrics and gynecology). RESULTS: The percentage of young adults who sought routine care increased from 42.4% in 2006 to 49.5% in 2012 (P < .001). The percentage identifying a USC remained stable at approximately 60%. Among young adults with a USC, there was a trend between 2006 and 2012 toward increasing percentages with pediatric (7.6% vs 9.1%) and family medicine (75.9% vs 80.9%) providers and declining percentages with internal medicine (11.5% vs 7.6%) and obstetrics and gynecology (5.0% vs 2.5%) providers. CONCLUSIONS: Efforts under the ACA to increase health insurance coverage had favorable effects on young adults' use of routine care. Monitoring routine care use and USC choices in this group can inform primary care workforce needs and graduate medical education priorities across specialties.

Randomized trial of four financial-incentive programs for smoking cessation.

BACKGROUND: Financial incentives promote many health behaviors, but effective ways to deliver health incentives remain uncertain. METHODS: We randomly assigned CVS Caremark employees and their relatives and friends to one of four incentive programs or to usual care for smoking cessation. Two of the incentive programs targeted individuals, and two targeted groups of six participants. One of the individual-oriented programs and one of the group-oriented programs entailed rewards of approximately $800 for smoking cessation; the others entailed refundable deposits of $150 plus $650 in reward payments for successful participants. Usual care included informational resources and free smoking-cessation aids. RESULTS: Overall, 2538 participants were enrolled. Of those assigned to reward-based programs, 90.0% accepted the assignment, as compared with 13.7% of those assigned to deposit-based programs (P<0.001). In intention-to-treat analyses, rates of sustained abstinence from smoking through 6 months were higher with each of the four incentive programs (range, 9.4 to 16.0%) than with usual care (6.0%) (P<0.05 for all comparisons); the superiority of reward-based programs was sustained through 12 months. Group-oriented and individual-oriented programs were associated with similar 6-month abstinence rates (13.7% and 12.1%, respectively; P=0.29). Reward-based programs were associated with higher abstinence rates than deposit-based programs (15.7% vs. 10.2%, P<0.001). However, in instrumental-variable analyses that accounted for differential acceptance, the rate of abstinence at 6 months was 13.2 percentage points (95% confidence interval, 3.1 to 22.8) higher in the deposit-based programs than in the reward-based programs among the estimated 13.7% of the participants who would accept participation in either type of program. CONCLUSIONS: Reward-based programs were much more commonly accepted than deposit-based programs, leading to higher rates of sustained abstinence from smoking. Group-oriented incentive programs were no more effective than individual-oriented programs. (Funded by the National Institutes of Health and CVS Caremark; ClinicalTrials.gov number, NCT01526265.).

Second-generation antipsychotic use among stimulant-using children, by organization of medicaid mental health.

OBJECTIVE: Reducing overuse of second-generation antipsychotics among Medicaid-enrolled children is a national priority, yet little is known about how service organization affects use. This study compared differences in second-generation antipsychotic utilization among Medicaid-enrolled children across fee-for-service, integrated managed care, and managed behavioral health carve-out organizational structures. METHODS: Organizational structures of Medicaid programs in 82 diverse counties in 34 states were categorized and linked to child-level cross-sectional claims data from the Medicaid Analytic Extract covering fiscal years 2004, 2006, and 2008. To approximate the population at risk of antipsychotic treatment, the sample was restricted to stimulant-using children ages three to 18 (N=419,226). The sample was stratified by Medicaid eligibility group, and logistic regression models were estimated for probability of second-generation antipsychotic use. Models included indicators of county-level organizational structure as main predictors, with sequential adjustment for personal and county-level covariates. RESULTS: With adjustment for person-level covariates, second-generation antipsychotic use was 31% higher among youths in foster care in fee-for-service counties than for youths in counties with carve-outs (odds ratio [OR]=1.69, 95% confidence interval [CI]=1.26-2.27). Foster care youths in integrated counties had the second highest adjusted odds (OR=1.31, CI=1.08-1.58). Similar patterns of use also were found for youths eligible for Supplemental Security Income but not for those eligible for Temporary Assistance for Needy Families. Differences persisted after adjustment for county-level characteristics. CONCLUSIONS: Carve-outs, versus other arrangements, were associated with lower second-generation antipsychotic use. Future research should explore carve-out features (for example, tighter management of inpatient or restricted access, as well as care coordination) contributing to lower second-generation antipsychotic use.

Center variation in the use of nonstandardized model for end-stage liver disease exception points.

The Model for End-Stage Liver Disease (MELD) score is an imperfect prognosticator of waitlist dropout, so transplant centers may apply for exception points to increase a waitlist candidate's priority on the waitlist. Exception applications are categorized as recognized exceptional diagnoses (REDs; eg, hepatocellular carcinoma) and non-REDs (eg, cholangitis). Although prior work has demonstrated regional variation in the use of exceptions, no work has examined the between-center variability. We analyzed all new waitlist candidates from February 27, 2002 to June 3, 2011 to explore variations in the use of non-REDs, for which no strict exception criteria exist. There were 58,641 new waitlist candidates, and 4356 (7.4%) applied for a non-RED exception. The number of applications increased steadily over time, as did the approval rates for such applications: from <50% in 2002 to nearly 75% in 2010. When we adjusted for patient factors, there was significant variability (P < 0.001) in the use of non-RED exceptions in 8 of 11 United Network for Organ Sharing (UNOS) regions and in the approval of these exceptions in 6 of 11 UNOS regions. The variability in the use and approval of non-REDs was clinically significant: waitlist candidates with approved exceptions were significantly more likely to undergo transplantation (68.3% versus 53.4%, P < 0.001) and were less likely to be removed for death or clinical deterioration (10.4% versus 16.2%, P < 0.001). Increased median MELD score at transplantation within a donor service area was the only center factor associated with increased odds of applying for exceptions, while no center factors were associated with having non-RED exceptions approved. Further work is needed to identify other sources of variation to ensure the appropriate and equitable use of non-RED exceptions.

Variation in emergency department diagnostic testing and disposition outcomes in pneumonia.

OBJECTIVE: To describe the variability across hospitals in diagnostic test utilization for children diagnosed with community-acquired pneumonia (CAP) during emergency department (ED) evaluation and to determine if test utilization is associated with hospitalization and ED revisits. METHODS: We conducted a retrospective cohort study of children aged 2 months to 18 years with ED visits resulting in CAP diagnoses from 2007 to 2010 who were seen at 36 hospitals contributing data to the Pediatric Health Information System. Children with complex chronic conditions, recent hospitalization, trauma, aspiration, or perinatal infection were excluded. Primary outcomes included diagnostic testing, hospitalization, and 3-day ED revisit rates across hospitals. We examined variation in diagnostic testing among hospitals by using multivariable mixed-effects logistic regression. RESULTS: A total of 100,615 ED visits were analyzed. Complete blood count (median: 28.7%), blood culture (27.9%), and chest radiograph (75.7%) were the most commonly ordered ED diagnostic tests. After adjustment for patient characteristics, significant variation (P < .001) was found for each test examined across hospitals. High test-utilizing hospitals had increased odds of hospitalization compared with low-utilizing hospitals (odds ratio: 1.86 [95% confidence interval: 1.17-2.94]; P = .008). However, differences in the odds of ED revisit between the low- and high-utilizing hospitals were not significant (odds ratio: 1.21 [95% confidence interval: 0.97-1.51]; P = .09). CONCLUSIONS: Emergency departments that use more testing in diagnosing CAP have higher hospitalization rates than lower-utilizing EDs. However, ED revisit rates were not significantly different between high- and low-utilizing EDs. These results suggest an opportunity to reduce diagnostic testing for CAP without negatively affecting outcomes.

Personalized cytomic assessment of vascular health: Evaluation of the vascular health profile in diabetes mellitus.

BACKGROUND: An inexpensive and accurate blood test does not currently exist that can evaluate the cardiovascular health of a patient. This study evaluated a novel high dimensional flow cytometry approach in combination with cytometric fingerprinting (CF), to comprehensively enumerate differentially expressed subsets of pro-angiogenic circulating progenitor cells (CPCs), involved in the repair of vasculature, and microparticles (MPs), frequently involved in inflammation and thrombosis. CF enabled discovery of a unique pattern, involving both MPs and CPCs and generated a personalized signature of vascular health, the vascular health profile (VHP). METHODS: Levels of CPCs and MPs were measured with a broad panel of cell surface markers in a population with atherosclerosis and type 2 diabetes mellitus (DM) and age-similar Healthy controls (HC) using an unbiased computational approach, termed CF. RESULTS: Circulating hematopoietic stem and progenitor cell (CHSPCAng) levels were detected at significantly lower concentrations in DM (P < 0.001), whereas levels of seven phenotypically distinct MPs were present at significantly higher concentrations in DM patients and one MP subset was present at significantly lower concentration in DM patients. Collectively, the combination of CHSPC(Ang) and MP levels was more informative than any one measure alone. CONCLUSIONS: This work provides the basis for a personalized cytomic vascular health profile that may be useful for a variety of applications including drug development, clinical risk assessment and companion diagnostics.

Long-term assessment of inflammation and healthy aging in late life: the Cardiovascular Health Study All Stars.

BACKGROUND: Associations of inflammation with age-related pathologies are documented; however, it is not understood how changes in inflammation over time impact healthy aging. METHODS: We examined associations of long-term change in C-reactive protein (CRP) and interleukin-6 (IL-6) with concurrent onset of physical and cognitive impairment, subsequent cardiovascular disease (CVD), and mortality in 1,051 participants in the Cardiovascular Health Study All Stars Study. Biomarkers were measured in 1996-1997 and 2005-2006. RESULTS: In 2005-2006, median age was 84.9 years, 63% were women and 17% non-white; 21% had at least a doubling in CRP over time and 23% had at least a doubling in IL-6. Adjusting for demographics, CVD risk factors, and 1996-1997 CRP level, each doubling in CRP change over 9 years was associated with higher risk of physical or cognitive impairment (odds ratio 1.29; 95% confidence interval 1.15, 1.45). Results were similar for IL-6 (1.45; 1.20, 1.76). A doubling in IL-6 change over time, but not CRP, was associated with incident CVD events; hazard ratio (95% confidence interval) 1.34 (1.03, 1.75). Doubling in change in each biomarker was individually associated with mortality (CRP: 1.12 [1.03, 1.22]; IL-6 1.39 [1.16, 1.65]). In models containing both change and 2005-2006 level, only level was associated with CVD events and mortality. CONCLUSIONS: Although increases in inflammation markers over 9 years were associated with higher concurrent risk of functional impairment and subsequent CVD events and mortality, final levels of each biomarker appeared to be more important in determining risk of subsequent events than change over time.