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The number of undocumented migrants in high-income countries has increased in recent decades, imposing considerable political, fiscal, and social pressures on governments. This has fostered discussions on whether and to what extent undocumented migrants should get access to public programs and public benefits. Looking at the 2012 Spanish health reform, this is the first paper to document the impacts of a restriction on access to the health-care system for undocumented migrants on health-care utilization, health-care system perceptions, and self-reported health in a high-income country. We show that such restrictions may significantly reduce planned care for undocumented migrants and result in sharp fall in positive opinions about the health-care services still left available to them. We also exploit the heterogeneity in implementing the policy across regions and report stronger effects in regions that enforced the national ban more fully. Furthermore, in the first 3 years since the implementation of the reform, we find suggestive evidence of a worsening in self-assessed health. This study is relevant for policymakers in the developed world, especially in countries that have recently implemented initiatives aimed at reducing the health-care coverage for targeted groups, such as the United Kingdom and the United States. [ABSTRACT FROM AUTHOR]

Objectives: The United States health system is challenged to improve patient and population health, enhance patients' experience of care, and reduce health care costs. Value-based health care (VBHC) models are proposed to address these issues. Medical health systems are making strides toward VBHC, whereas dental care systems lag behind. The aims of this paper are to a) present study findings of an interprofessional practice model integrating oral health and primary care in a dental practice setting, and b) discuss practice and research implications for advancing VBHC approaches in oral health.Methods: A nonexperimental research method was employed to evaluate the Nurse Practitioner-Dentist Model for Primary Care (NPD Model) at the Harvard Dental Center. Pretest/post-test design was used to assess clinical patient outcomes for a convenience cohort of Medicare beneficiaries (n = 31) with a reported diagnosis of hypertension and/or type 2 diabetes. Clinical outcome measures included: blood pressure, weight, body mass index (BMI), and Hemoglobin A1c.Results: Positive and significant improvements in biometrics (blood pressure, body weight, BMI, HbA1c) were found.Conclusions: The NPD Model is an early prototype for interprofessional VBHC in oral health and holds promise for improving patient and population health outcomes. Integration of interprofessional VBHC in oral health is an imperative for achieving the Triple Aim to improve the overall health of our nation. [ABSTRACT FROM AUTHOR]

Few prior studies have examined the extent to which the behavior and characteristics of political extremists are related to their position within radical groups. In this paper we concentrate on one of the most fundamental distinctions in groups: That between leaders and followers. Our main goal is to investigate the comparative propensity of leaders and followers to engage in political violence. In a sample of individuals who have committed ideologically motivated political crimes in the United States (N = 1,331). we found that even though leaders were more ideologically committed to the group's goals and ideologies, they were at the same time less likely to engage in violent acts. Moreover, we found that leaders in radical criminal organizations shared many characteristics with leaders in noncriminal organizations. Specifically, in comparison to followers, they were more often male, older, and they were more likely to belong to an ethnic majority. We consider implications for future research and policy of the fundamental conclusion that compared to leaders, followers in terrorist organizations are more likely to engage in violent acts. [ABSTRACT FROM AUTHOR]

Mediation analysis allows the examination of effects of a third variable in the pathway between an exposure and an outcome. The general multiple mediation analysis method, proposed by Yu et al, improves traditional methods (eg, estimation of natural and controlled direct effects) to enable consideration of multiple mediators/confounders simultaneously and the use of linear and nonlinear predictive models for estimating mediation/confounding effects. In this paper, we extend the method for time-to-event outcomes and apply the method to explore the racial disparity in breast cancer survivals. Breast cancer is the most common cancer and the second leading cause of cancer death among women of all races. Despite improvement of survival rates of breast cancer in the US, a significant difference between white and black women remains. Previous studies have found that more advanced and aggressive tumors and less than optimal treatment may explain the lower survival rates for black women as compared to white women. Due to limitations of current analytic methods and the lack of comprehensive data sets, researchers have not been able to differentiate the relative effect each factor contributes to the overall racial disparity. We use the CDC-funded Patterns of Care study to examine the determinants of racial disparities in breast cancer survival using a novel multiple mediation analysis. Using the proposed method, we applied the Cox hazard model and multiple additive regression trees as predictive models and found that all racial disparity in survival among Louisiana breast cancer patients were explained by factors included in the study. [ABSTRACT FROM AUTHOR]

The article discusses the effects of short pregnancy spacing on maternal nutrition and adverse pregnancy outcomes such as preterm birth for women in the U.S. According to the author, the use of contraception has been recommended to women and family planning providers by the Centers for Disease Control and Prevention (CDC).

This paper presents longitudinal data representing federal funding for health services research and discusses the observed trends in the larger context of overall funding for research and development in the United States. By putting into context public and private funding trends, the authors examine how these trends effect the supply and demand of the health services research workforce. [ABSTRACT FROM AUTHOR]

Objectives: To explore (1) differences in validity and feasibility ratings for geriatric surgical standards across a diverse stakeholder group (surgeons vs. nonsurgeons, health care providers vs. nonproviders, including patient-family, advocacy, and regulatory agencies); (2) whether three multidisciplinary discussion subgroups would reach similar conclusions.Data Source/study Setting: Primary data (ratings) were reported from 58 stakeholder organizations.Study Design: An adaptation of the RAND-UCLA Appropriateness Methodology (RAM) process was conducted in May 2016.Data Collection/extraction Methods: Stakeholders self-administered ratings on paper, returned via mail (Round 1) and in-person (Round 2).Principal Findings: In Round 1, surgeons rated standards more critically (91.2 percent valid; 64.9 percent feasible) than nonsurgeons (100 percent valid; 87.0 percent feasible) but increased ratings in Round 2 (98.7 percent valid; 90.6 percent feasible), aligning with nonsurgeons (99.7 percent valid; 96.1 percent feasible). Three parallel subgroups rated validity at 96.8 percent (group 1), 100 percent (group 2), and 97.4 percent (group 3). Feasibility ratings were 76.9 percent (group 1), 96.1 percent (group 2), and 92.2 percent (group 3).Conclusions: There are differences in validity and feasibility ratings by health professions, with surgeons rating standards more critically than nonsurgeons. However, three separate discussion subgroups rated a high proportion (96-100 percent) of standards as valid, indicating the RAM can be successfully applied to a large stakeholder group. [ABSTRACT FROM AUTHOR]

Drug-drug interactions (DDIs) are a common cause of adverse drug events (ADEs). The electronic medical record (EMR) database and the FDA's adverse event reporting system (FAERS) database are the major data sources for mining and testing the ADE associated DDI signals. Most DDI data mining methods focus on pair-wise drug interactions, and methods to detect high-dimensional DDIs in medical databases are lacking. In this paper, we propose 2 novel mixture drug-count response models for detecting high-dimensional drug combinations that induce myopathy. The "count" indicates the number of drugs in a combination. One model is called fixed probability mixture drug-count response model with a maximum risk threshold (FMDRM-MRT). The other model is called count-dependent probability mixture drug-count response model with a maximum risk threshold (CMDRM-MRT), in which the mixture probability is count dependent. Compared with the previous mixture drug-count response model (MDRM) developed by our group, these 2 new models show a better likelihood in detecting high-dimensional drug combinatory effects on myopathy. CMDRM-MRT identified and validated (54; 374; 637; 442; 131) 2-way to 6-way drug interactions, respectively, which induce myopathy in both EMR and FAERS databases. We further demonstrate FAERS data capture much higher maximum myopathy risk than EMR data do. The consistency of 2 mixture models' parameters and local false discovery rate estimates are evaluated through statistical simulation studies. [ABSTRACT FROM AUTHOR]

Home hemodialysis (HD) was first introduced in the 1960s with a rapid increase in its use due to inability of dialysis units to accommodate patient demand. A sharp decline was subsequently seen with expanding outpatient dialysis facilities and changes in reimbursement policies. In the last decade, with emerging reports of benefits with home HD and more user-friendly equipment, there has been resurgence in home HD. However, home HD remains underutilized with considerable variations between and within countries. This paper will review the history of home HD, elaborate on its established benefits, identify some of the barriers in uptake of this modality and expand on potential strategies to overcome these barriers. [ABSTRACT FROM AUTHOR]

The United States is in the midst of a multifaceted public health crisis, marked by increasing midlife mortality rates among nearly all racial and ethnic groups.[[1]] The burden of this crisis has fallen most heavily among vulnerable populations, particularly individuals with lower levels of income and education.[[2]] Patterns of rising mortality - which vary across time, space, and causes of death - suggest a complex set of underlying causes, many of which may have been operative for decades.[2] How do the findings speak to the potential consequences of other trends in urban housing, in particular gentrification, whose relationship to evictions and health outcomes has thus far been shown to be mixed? America's declining well-being, health, and life expectancy: not just a white problem. 33 Fazel S, Geddes JR, Kushel M. The health of homeless people in high-income countries: descriptive epidemiology, health consequences, and clinical and policy recommendations. [Extracted from the article]

Objectives: To determine dementia prevalence and costs attributable to dementia using Veterans Health Administration (VHA) data with and without Medicare data.Data Sources: VHA inpatient, outpatient, purchased care and other data and Medicare enrollment, claims, and assessments in fiscal year (FY) 2013.Study Design: Analyses were conducted with VHA data alone and with combined VHA and Medicare data. Dementia was identified from a VHA sanctioned list of ICD-9 diagnoses. Attributable cost of dementia was estimated using recycled predictions.Data Collection: Veterans age 65 and older who used VHA and were enrolled in Traditional Medicare in FY 2013 (1.9 million).Principal Findings: VHA records indicated the prevalence of dementia in FY 2013 was 4.8 percent while combined VHA and Medicare data indicated the prevalence was 7.4 percent. Attributable cost of dementia to VHA was, on average, $10,950 per veteran per year (pvpy) using VHA alone and $6,662 pvpy using combined VHA and Medicare data. Combined VHA and Medicare attributable cost of dementia was $11,285 pvpy. Utilization attributed to dementia using VHA data alone was lower for long-term institutionalization and higher for supportive care services than indicated in combined VHA and Medicare data.Conclusions: Better planning for clinical and cost-efficient care requires VHA and Medicare to share data for veterans with dementia and likely more generally. [ABSTRACT FROM AUTHOR]

Wellness programs constitute central components of disease prevention efforts under the Affordable Care Act and are likely to remain a component of employer provided health insurance. This paper evaluates the impact of such programs on medical utilization 4 to 7 years after enrollment in the plan. Using a unique suited data provided by a large private employer, I analyze medical expenditure and utilization for individuals enrolled in a wellness plan. The analysis compares expenditures and visits between wellness members and nonmembers who are matched through propensity score methods. The results show that although the wellness program increases utilization of preventive and outpatient care, by as much as 1.57 visits per year, there is no comparable decline in emergency or inpatient care, resulting in an overall increase in medical expenditure of around $507 per person per year. The increase in medical expenditure persists even 6 to 7 years of continued enrollment in wellness. I find some evidence of improved health, as diagnoses of diabetes decline 0.8 percentage points among wellness members. The results suggest that employer savings stemming from improved health and more judicious use of medical services are not likely to materialize in this wellness program. [ABSTRACT FROM AUTHOR]

This paper explores the public health system's differential construction of Mexican and Cuban immigrants' "deservingness" of citizenship benefits and its preparation of them for different roles in U.S. society. Civic institutions such as the public health care system are charged with inculcating normative behavior in immigrants and instilling in them different conceptions about their rights and responsibilities. Faced with limited resources under the implementation of Medicaid managed care, hospital administrators created new categories of "deserving" and "undeserving" immigrants based on neoliberal standards of individual responsibility and self-discipline. As a result, hospital policies construct different types of "cultural citizenship" for Cuban and Mexican immigrants, preparing the former to be active citizens and discouraging the latter from pressing demands on American civil institutions. I show that this negative construction of Mexican immigrants' moral worth leads to unmet health needs and poor health outcomes. [ABSTRACT FROM AUTHOR]

In this study, we sought to evaluate a modification of the Michigan Alcohol Screening Test designed to include problems associated with other drug abuse/dependence besides alcohol. Scores of the lifetime Michigan Assessment-Screening Test/Alcohol-Drug (MAST/AD) were compared to other lifetime measures of substance abuse and dependence and to psychiatric scales reflecting current or recent symptoms. Two university medical centers with alcohol-drug programs located within departments of psychiatry hosted 520 patients with alcohol-drug-related diagnoses. Patients completed their own MAST/AD using a paper-and-pencil format. Based on interviews with the patient, a research associate rated the patients' substance-related problems on the Minnesota Substance Abuse Problem Scale (M-SAPS) and obtained information on lifetime treatment for substance abuse. An addictions psychiatrist determined abuse or dependence and made a current diagnosis of alcohol abuse/dependence only, drug abuse/dependence only, and alcohol plus drug abuse/dependence. The MAST/AD was highly correlated with the M-SAPS and several other measures of substance abuse morbidity. Patients with alcohol-only and drug-only diagnoses did not differ from one another on the MAST/AD, although both groups had lower scores than those with alcohol plus drug diagnoses. Current psychosocial morbidity as assessed by the patient and the psychiatrist was associated with the MAST/AD, although less strongly than with lifetime substance abuse measures. The lifetime MAST/AD demonstrates reliability as a severity measure for alcohol and/or drug abuse. With minor modification, this standard measure can be expanded from alcohol diagnoses to all substance diagnoses. This study in a clinical population did not demonstrate its utility as a screening instrument; additional work is needed to reveal its utility for this purpose. [ABSTRACT FROM AUTHOR]

The article offers information on a survey of healthcare professional and parental experience in accessing support for breastfeeding during an acute hospital admission in the U.S. The topics addressed include details on the factors which impact on the parental experience of breastfeeding in a hospital setting comprising modes of feeding, maternal stress or anxiety, and access to support and equipment.

Dried blood spots (DBS) are collected uniformly from US newborns to test for metabolic and other disorders. Because evidence exists for prenatal origins of some diseases, DBS may provide unique prenatal exposure records. Some states retain residual DBS and permit their use in aetiological studies. The primary study aim was to assess the feasibility of obtaining residual DBS from state newborn screening programmes for paediatric and adolescent cancer patients nationwide with parental/subject consent/assent. Families of leukaemia and lymphoma patients aged ≤21 years diagnosed from 1998 to 2007 at randomly selected Children's Oncology Group institutions across the US were questioned (n = 947). Parents/guardians and patients aged ≥18 years were asked to release DBS to investigators in spring 2009. DBS were then requested from states. Overall, 299 families (32%) released DBS. Consenting/assenting patients were born in 39 US states and 46 DBS were obtained from five states; 124 DBS were unobtainable because patients were born prior to dates of state retention. State policies are rapidly evolving and there is ongoing discussion regarding DBS storage and secondary research uses. Currently, population-based DBS studies can be conducted in a limited number of states; fortunately, many have large populations to provide reasonably sized paediatric subject groups. [ABSTRACT FROM AUTHOR]

Standard triplicate blood pressure (BP) measurements pose time barriers to hypertension screening, especially in resource-limited settings. We assessed the implications of simplified approaches using fewer measurements with adults (≥18 years old) not using anti-hypertensive medications from the US National Health and Nutrition Examination Survey 1999-2016 (n = 30 614), and two datasets from May Measurement Month 2017-2018 (n = 14 795 for Nepal and n = 6 771 for India). We evaluated the proportion of misclassification of hypertension when employing the following simplified approaches: using only 1st BP, only 2nd BP, 2nd if 1st BP in a given range (otherwise using 1st), and average of 1st and 2nd BP. Hypertension was defined as average of 2nd and 3rd systolic BP ≥140 and/or diastolic BP ≥90 mm Hg. Using only the 1st BP, the proportion of missed hypertension ranged from 8.2%-12.1% and overidentified hypertension from 4.3%-9.1%. Using only 2nd BP reduced the misclassification considerably (corresponding estimates, 4.9%-6.4% for missed hypertension and 2.0%-4.4% for overidentified hypertension) but needed 2nd BP in all participants. Using 2nd BP if 1st BP ≥130/80 demonstrated similar estimates of missed hypertension (3.8%-8.1%) and overidentified hypertension (2.0%-3.9%), but only required a 2nd BP in 33.8%-59.8% of participants. In conclusion, a simplified approach utilizing 1st BP supplemented by 2nd BP in some individuals has low misclassification rates and requires approximately half of the total number of measurements compared to the standard approach, and thus can facilitate screening in resource-constrained settings. [ABSTRACT FROM AUTHOR]

This reflection on the essay by Rothbaum, Pott, Azuma, Miyake, and Weisz focuses on how knowledge about Japanese psychological development and culture can serve as a corrective to the ethnocentrism of Western theory. Particular attention is given to the Japanese cultural concepts of amae and kejime. [ABSTRACT FROM AUTHOR]

In response to the opioid crisis, each US state has implemented a prescription drug monitoring program (PDMP) to collect data on controlled substances prescribed and dispensed in the state. I study whether health information technology (HIT) complements patient prescription data in PDMPs to reduce opioid-related mortality and morbidity. A novel dataset is constructed that records state policies that integrate PDMP with HIT and facilitate interstate data sharing. Using difference-in-differences models, I find that PDMP-HIT integration policies reduce opioid-related inpatient morbidity. The reductions are substantial in states that established integration without ever mandating the use of a PDMP. A mechanism test suggests that PDMP integration works mainly through the hospital system while a mandate affects legal opioids prescription. The impacts from integration are strongest for the vulnerable groups-middle-aged, low-to middle-income patients, and those with public insurance. There is suggestive evidence that interstate data sharing further complements integration despite not having a significant impact independently. The results are robust to a set of tests using alternative specifications and measures. The total benefits from integration far exceed the associated costs. [ABSTRACT FROM AUTHOR]

Objective: To develop outcome measures that are more sensitive than current measures for evaluating primary or transitional care after hospitalizations, emergency department (ED) visits, or observation stays.Data Sources: Medicare claims data from January 1, 2015, to October 31, 2017, for 1 261 707 Medicare fee-for-service beneficiaries served by (a) primary care practices participating in Track 1 of the Comprehensive Primary Care Plus (CPC+) initiative, and (b) their matched comparison practices.Study Design: Given the poor statistical power in many studies to detect effects on readmissions, we developed two novel claims-based measures of unplanned acute care (UAC) following an index acute care event. The first measure assesses the proportion of hospitalizations followed by an unplanned readmission, ED visit, or observation stay within 30 days of discharge; the second assesses the proportion of ED visits and observation stays followed by a hospitalization, ED visit, or observation stay within 30 days. We calculate minimum detectable effects (MDEs) for both measures and for a conventional measure of 30-day unplanned readmissions, using CPC+ data.Principal Findings: Repeat UAC events are common among Medicare beneficiaries served by the CPC+ practices. In 2017, 22% of discharges and 21% of ED visits and observation stays had a UAC event within 30 days. Readmissions were the most common UAC event following discharge, whereas ED visits were most common following index ED visits or observation stays. MDEs are 25%-40% lower for the new measures than for the standard 30-day readmissions measure, indicating better statistical power to detect impacts of primary or transitional care interventions.Conclusions: This study introduces two new claims-based measures to assess quality of care during a patient's vulnerable period following acute care. The new measures complement existing measures, covering a broader range of UAC events than the standard 30-day readmissions measure, and yielding greater statistical power. [ABSTRACT FROM AUTHOR]

Reported mental health problems have risen dramatically among US college students over time, as has treatment for these problems. We examine the effect of state-level Medicaid expansion following the 2014 implementation of the Affordable Care Act on the diagnosis of mental health conditions, psychotropic prescription drug use, and the mental health status of a national sample of college students. We find that students from disadvantaged backgrounds are more likely to report being on public insurance after 2014 in expansion states relative to non-expansion states, while more advantaged students do not see this increase. Both diagnosis of common mental health conditions and psychotropic drug use increase following expansion for disadvantaged students relative to advantaged ones, which translates into an elimination of the pre-expansion gap in these outcomes by family background in expansion states. However, in contrast to some recent work on Medicaid expansion and mental health, we do not find that these changes are associated with improvements in self-reported mental health status. We also do not find that Medicaid expansion has affected risky health behaviors or academic outcomes. [ABSTRACT FROM AUTHOR]

Objective: Crisis hotlines are an important part of a public health approach to suicide prevention. The Veterans Crisis Line (VCL) provides hotline services to Veterans. There is a paucity of research concerning the effectiveness of the VCL. The current work describes efforts to establish groundwork for VCL effectiveness research.Methods: 155 VCL users who were referred to a Veterans Affairs Medical Center Suicide Prevention Team completed interviews including open-ended and closed-ended questions. Outcomes are reported for suicidal participants, non-suicidal participants, and those who had emergency intervention. Thematic analysis was used for open-ended questions.Results: Eighty-seven percent of interviewees expressed satisfaction with the VCL, 81.9% reported that the VCL was helpful, and 72.9% said that the VCL helped keep them safe. Of those with suicidal thoughts, 82.6% said the contact helped stop them from killing themselves. Themes are described concerning user identified reasons for VCL contact, most and least helpful aspects of the contact, and suggestions for improvement.Discussion: This project demonstrates that this group of people who used the VCL overwhelmingly finds the service to be helpful and a barrier to suicide. Further, implications of user feedback for application to VCL operations and future research are discussed. [ABSTRACT FROM AUTHOR]

The joinpoint regression model (JRM) is used to describe trend changes in many applications and relies on the detection of joinpoints (changepoints). However, the existing joinpoint detection methods, namely, the grid search (GS)-based methods, are computationally demanding, and hence, the maximum number of computable joinpoints is limited. Herein, we developed a genetic algorithm-based joinpoint (GAJP) model in which an explicitly decoupled computing procedure for optimization and regression is used to embed a binary genetic algorithm into the JRM for optimal joinpoint detection. The combinations of joinpoints were represented as binary chromosomes, and genetic operations were performed to determine the optimum solution by minimizing the fitness function, the Bayesian information criterion (BIC) and BIC3 . The accuracy and computational performance of the GAJP model were evaluated via intensive simulation studies and compared with those of the GS-based methods using BIC, BIC3 , and permutation test. The proposed method showed an outstanding computational efficiency in detecting multiple joinpoints. Finally, the suitability of the GAJP model for the analysis of cancer incidence trends was demonstrated by applying this model to data on the incidence of colorectal cancer in the United States from 1975 to 2016 from the National Cancer Institute's Surveillance, Epidemiology, and End Results program. Thus, the GAJP model was concluded to be practically feasible to detect multiple joinpoints up to the number of grids without requirement to preassign the number of joinpoints and be easily extendable to cancer trend analysis utilizing large datasets. [ABSTRACT FROM AUTHOR]

Background: Neuromuscular monitoring is recommended whenever a neuromuscular blocking agent is administered, but surveys have demonstrated inconsistent monitoring practices. Using qualitative methods, we aimed to explore barriers and aids to routine neuromuscular monitoring and consistent reversal practice.Methods: Focus group interviews were conducted to obtain insights into the thoughts and attitudes of individual anaesthetists, as well as the influence of colleagues and department culture. Interviews were conducted at five Danish and one US hospital. Data were analysed using template analysis.Results: Danish anaesthetists used objective neuromuscular monitoring when administering a non-depolarizing relaxant, but had challenges with calibrating the monitor and sometimes interpreting measurements. Residents from the US institution used subjective neuromuscular monitoring, objective neuromuscular monitoring was generally not available and most had not used it. Danish anaesthetists used neuromuscular monitoring to assess readiness for extubation, whereas US residents used subjective neuromuscular monitoring, clinical tests like 5-second head lift and ventilatory parameters. The residents described a lack of consensus between senior anaesthesiologists in reversal practice and monitoring use. Barriers to consistent and correct neuromuscular monitoring identified included unreliable equipment, time pressure, need for training, misconceptions about pharmacokinetics of neuromuscular blocking agents and residual block, lack of standards and guidelines and departmental culture.Conclusion: Using qualitative methods, we found that though Danish anaesthetists generally apply objective neuromuscular monitoring routinely and residents at the US institution often apply subjective neuromuscular monitoring, barriers to consistent and correct use still exist. [ABSTRACT FROM AUTHOR]

While earned income tax credit (EITC) expansions are typically associated with improvements in maternal mental health, little is known about the mechanisms through which the program affects this outcome. The EITC could primarily affect mental health through changes in family financial resources, changes in labor supply or changes in health insurance coverage of participants. We attempt to disentangle these mechanisms by assessing the effects of state and federal EITC expansion on mental health, employment, and health insurance by maternal marital status. We find that federal EITC expansions are associated with improved self-reported mental health for all mothers and large positive effects on employment for unmarried mothers. State EITC expansions are associated with improvements in mental health for married mothers only and have no effect on employment for married or unmarried mothers. Overall and for most subgroups of mothers, we find little association between EITC expansions and changes in health insurance coverage. These findings suggest that while EITC expansions improved mental health for unmarried mothers through a combination of the credit and employment effects, for married mothers, improved mental health is driven through the direct credit alone. [ABSTRACT FROM AUTHOR]

Integration of behavioral and general medical care can improve outcomes for individuals with behavioral health conditions-serious mental illness (SMI) and substance use disorder (SUD). However, behavioral health care has historically been segregated from general medical care in many countries. We provide the first population-level evidence on the effects of Medicaid health homes (HH) on behavioral health care service use. Medicaid, a public insurance program in the United States, HHs were created under the 2010 Affordable Care Act to coordinate behavioral and general medical care for enrollees with behavioral health conditions. As of 2016, 16 states had adopted an HH for enrollees with SMI and/or SUD. We use data from the National Survey on Drug Use and Health over the period 2010 to 2016 coupled with a two-way fixed-effects model to estimate HH effects on behavioral health care utilization. We find that HH adoption increases service use among enrollees, although mental health care treatment findings are sensitive to specification. Further, enrollee self-reported health improves post-HH. [ABSTRACT FROM AUTHOR]

Background: Approximately 50% of children with cancer in the United States who are aged <15 years receive primary treatment on a therapeutic clinical trial. To the authors' knowledge, it remains unknown whether trial enrollment has a clinical benefit compared with the best alternative standard therapy and/or off trial (ie, clinical trial effect). The authors conducted a retrospective matched cohort study to compare the morbidity and mortality of pediatric patients with cancer who are treated on a phase 3 clinical trial compared with those receiving standard therapy and/or off trial.Methods: Subjects were aged birth to 19 years; were diagnosed between 2000 and 2010 with acute lymphocytic leukemia (ALL), acute myeloid leukemia (AML), rhabdomyosarcoma, or neuroblastoma; and had received initial treatment at the Children's Hospital of Philadelphia. On-trial and off-trial subjects were matched based on age, race, ethnicity, a diagnosis of Down syndrome (for patients with ALL or AML), prognostic risk level, date of diagnosis, and tumor type.Results: A total of 428 participants were matched in 214 pairs (152 pairs for ALL, 24 pairs for AML, 32 pairs for rhabdomyosarcoma, and 6 pairs for neuroblastoma). The 5-year survival rate did not differ between those treated on trial versus those treated with standard therapy and/or off trial (86.9% vs 82.2%; P = .093). On-trial patients had a 32% lower odds of having worse (higher) mortality-morbidity composite scores, although this did not reach statistical significance (odds ratio, 0.68; 95% confidence interval, 0.45-1.03 [P = .070]).Conclusions: There was no statistically significant difference in outcomes noted between those patients treated on trial and those treated with standard therapy and/or off trial. However, in partial support of the clinical trial effect, the results of the current study indicate a trend toward more favorable outcomes in children treated on trial compared with those treated with standard therapy and/or off trial. These findings can support decision making regarding enrollment in pediatric phase 3 clinical trials. [ABSTRACT FROM AUTHOR]

Objective: We aim to assess whether system providers perform better than nonsystem providers under an alternative payment model that incentivizes high-quality, cost-efficient care. We posit that the payment environment and the incentives it provides can affect the relative performance of vertically integrated health systems. To examine this potential influence, we compare system and nonsystem hospitals participating in Medicare's Comprehensive Care for Joint Replacement (CJR) model.Data Sources: We used hospital cost and quality data from the Centers for Medicare & Medicaid Services linked to data from the Agency for Healthcare Research and Quality's Compendium of US Health Systems and hospital characteristics from secondary sources. The data include 706 hospitals in 67 metropolitan areas.Study Design: We estimated regressions that compared system and nonsystem hospitals' 2017 cost and quality performance providing lower joint replacements among hospitals required to participate in CJR.Principal Findings: Among CJR hospitals, system hospitals that provided comprehensive services in their local market had 5.8 percent ($1612) lower episode costs (P = .01) than nonsystem hospitals. System hospitals that did not provide such services had 3.5 percent ($967) lower episode costs (P = .14). Quality differences between system hospitals and nonsystem hospitals were mostly small and statistically insignificant.Conclusions: When operating under alternative payment model incentives, vertical integration may enable hospitals to lower costs with similar quality scores. [ABSTRACT FROM AUTHOR]

Background: Prior authorization of prescription medications is a policy tool that can potentially impact care quality and patient safety.Objective: To examine the effectiveness of a mandatory peer-review program in reducing antipsychotic prescriptions among Medicaid-insured children, accounting for secular trends that affected antipsychotic prescribing nationally.Data Source: Medicaid Analytical eXtracts (MAX) with administrative claims for health services provided between January 2006 and December 2011.Study Design: This retrospective, observational study examined prescription claims records from Washington State (Washington) and compared them to a synthetic control drawing from 20 potential donor states that had not implemented any antipsychotic prior authorization program or mandatory peer review for Medicaid-insured children during the study period. This method provided a means to control for secular trends by simulating the antipsychotic use trajectory that the program state would have been expected to experience in the absence of the policy implementation.Principal Findings: Before the policy implementation, antipsychotic use prevalence closely tracked those of the synthetic control (6.17 per 1000 in Washington vs. 6.21 in the synthetic control group). Within two years after the policy was implemented, prevalence decreased to 4.04 in Washington and remained stable in the synthetic control group (6.47), corresponding to an approximately 38% decline.Conclusion: Prior authorization program designs and implementations vary widely. This mandatory peer-review program, with an authorization window and two-stage rollout, was effective in moving population level statistics toward safe and judicious use of antipsychotic medications in children. [ABSTRACT FROM AUTHOR]

Objective: To understand the effect of physician payment incentives on the allocation of health care resources.Data Sources/study Setting: Review and analysis of the literature on physician payment incentives.Study Design: Analysis of current physician payment incentives and several ways to modify those incentives to encourage increased efficiency.Principal Findings: Fee-for-service payments can be incorporated into systems that encourage efficient pricing - prices that are close to the provider's marginal cost - by giving consumers information on provider-specific prices and a strong incentive to choose lower cost providers. However, efficient pricing of services ultimately will need to be supplemented by incentives for efficient production of health and functional status.Conclusions: The problem with current FFS payment is not paying a fee for each service, per se, but the way in which the fees are determined. [ABSTRACT FROM AUTHOR]

Objective: To assess the extent to which all-cause 30-day readmission rate varies by Medicare program within the same hospitals.Study Design: We used conditional logistic regression clustered by hospital and generalized estimating equations to compare the odds of unplanned all-cause 30-day readmission between Medicare Fee-for-Service (FFS) and Medicare Advantage (MA).Data Collection: Wisconsin Health Information Organization collects claims data from various payers including private insurance, Medicare, and Medicaid, twice a year.Principal Findings: For 62 of 66 hospitals, hospital-level readmission rates for MA were lower than those for Medicare FFS. The odds of 30-day readmission in MA were 0.92 times lower than Medicare FFS within the same hospital (odds ratio, 0.93; 95 percent confidence interval, 0.89-0.98). The adjusted overall readmission rates of Medicare FFS and MA were 14.9 percent and 11.9 percent, respectively.Conclusion: These findings provide additional evidence of potential variations in readmission risk by payer and support the need for improved monitoring systems in hospitals that incorporate payer-specific data. Further research is needed to delineate specific care delivery factors that contribute to differential readmission risk by payer source. [ABSTRACT FROM AUTHOR]

Objective: To evaluate episode-based payments for upper respiratory tract infections (URI) and perinatal care in Arkansas's Medicaid population.Study Setting: Upper respiratory infection and perinatal episodes among Medicaid-covered individuals in Arkansas and comparison states from fiscal year (FY) 2011 to 2014.Study Design: Cross-sectional observational analysis using a difference-in-difference design to examine outcomes associated with URI and perinatal episodes of care (EOC) from 2011 to 2014. Key dependent variables include antibiotic use, emergency department visits, physician visits, hospitalizations, readmission, and preventive screenings.Data Collection: Claims data from the Medicaid Analytic Extract for Arkansas, Mississippi, and Missouri from 2010 to 2014 with supplemental county-level data from the Area Health Resource File (AHRF).Principal Findings: The URI EOC reduced the probability of antibiotic use (marginal effect [ME] = -1.8, 90% CI: -2.2, -1.4), physician visits (ME = 0.6, 90% CI: -0.8, -0.4), improved the probability of strep tests for children diagnosed with pharyngitis (ME = 9.4, 90% CI: 8.5, 10.3), but also increased the probability of an emergency department (ED) visit (ME = 0.1, 90% CI: 0.1, 0.2), relative to the comparison group. For perinatal EOCs, we found a reduced probability of an ED visit during pregnancy (ME = 0.1, 90% CI: -0.2, -0.0), an increased probability of screening for HIV (ME = 6.2, 90% CI: 4.0, 8.5), chlamydia (ME = 9.5, 90% CI: 7.2, 11.8), and group B strep-test (ME = 2.6, 90% CI: 0.5, 4.6), relative to the comparison group. Predelivery and postpartum hospitalizations also increased (ME = 1.2, 90% CI: 0.4, 2.0; ME = 0.4, 90% CI: 0.0, 0.8, respectively), relative to the comparison group.Conclusion: Upper respiratory infection and perinatal EOCs for Arkansas Medicaid beneficiaries produced mixed results. Aligning shared savings with quality metrics and cost-thresholds may help achieve quality targets and disincentivize over utilization within the EOC, but may also have unintended consequences. [ABSTRACT FROM AUTHOR]

Aim: To compare the costs of community-based food allergy model of care (intervention cohort, IC) with a tertiary-hospital, specialist allergy clinic model of care (control cohort, CC).Methods: In this pragmatic controlled trial, children (aged 0-12 years) newly referred to the allergy clinic at Melbourne's Royal Children's Hospital with suspected/known food allergy to three or fewer foods were allocated to see either a community-based paediatrician, trained via online webinars and web-based clinical decision support tools for food allergy diagnosis and management, or a hospital allergist. Per-patient costs to the health-care system and out-of-pocket costs to families seen within 12 months (clinician time, allergy tests and medicare billing) were compared between the two models of care.Results: At 12 months, 54/181 (30%) CC families had been seen in the allergy clinic and 93/115 (81%) of the IC families who chose to see a community paediatrician had been seen. In an intention-to-treat analysis (ITT), health-care system costs per IC patient were higher than the costs per CC patient (mean cost $333 versus $319, respectively; mean difference $14, 95% Confidence Interval (CI) -97 to 118, P = 0.81). Total out-of-pocket costs to family were $129 in the IC compared with $89 in the CC (mean difference $40, 95% CI $4-$77, P = 0.03).Conclusions: A community-based model of care for simple food allergy showed that costs to the health-care system were similar between the community model and hospital care but did not show reduced out-of-pocket costs to the families 12-months post-enrolment. [ABSTRACT FROM AUTHOR]

Background: Factors associated with red blood cell (RBC), plasma, and platelet transfusions in hospitalized neonates and children across the United States have not been well characterized.Methods: Data from the Kids' Inpatient Database (KID) 2016 were analyzed. KID is a random sample of 10% of all uncomplicated in-hospital births and 80% of remaining pediatric discharges from approximately 4200 US hospitals. Sampling weights were applied to generate nationally representative estimates. Primary outcome was one or more RBC transfusion procedures; plasma and platelet transfusions were assessed as secondary outcomes. Analysis was stratified by age: neonates (NEO; ≤28 d), and nonneonates (PED; >28 d and <18 y). Multivariable logistic regression was used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (95% CIs).Results: Among 5,604,984 total hospitalizations, overall prevalence of transfusions was 1.07% (95% CI, 0.94%-1.22%) for RBCs, 0.17% (95% CIs, 0.15%-0.21%) for plasma and 0.35% (95% CI, 0.30%-0.40%) for platelet transfusions. RBC transfusions occurred among 0.43% NEO admissions and 2.63% PED admissions. For NEO admissions, RBC transfusion was positively associated with nonwhite race, longer length of hospitalization, highest risk of mortality (aOR, 86.58; 95% CI, 64.77-115.73) and urban teaching hospital location. In addition to the above factors, among PED admissions, RBC transfusion was positively associated with older age, female sex (aOR, 1.10; 95% CI, 1.07-1.13), and elective admission status (aOR, 1.62; 95% CI, 1.46-1.80). Factors associated with plasma and platelet transfusions were largely similar to those associated with RBC transfusion, except older age groups had lower odds of plasma transfusion among PED admissions.Conclusions: While there is substantial variability in the proportion of neonates and nonneonatal children transfused nationally, there are several similar, yet unique, nonlaboratory predictors of transfusion identified in these age groups. [ABSTRACT FROM AUTHOR]

Background: Although smoking is associated with several postoperative complications, a possible association with surgical bleeding remains unclear. We examined if smoking is associated with a higher risk of surgical bleeding.Study Design and Methods: We included patients from the American College of Surgeons National Surgical Quality Improvement Program 2007-2016 from 680 hospitals across the United States. Patients with information on age, sex, surgical specialty, and smoking status were included. Surgical bleeding was defined as 1 or more red blood cell (RBC) units transfused intraoperatively to 72 hours postoperatively. The association between smoking and surgical bleeding was examined using logistic regressions adjusted for age, sex, body mass index, ethnicity, comorbidities, laboratory values, American Society of Anesthesiologists score, type of anesthesia, duration of surgery, work relative value unit (surrogate for operative complexity), surgical specialty, and procedure year.Results: A total of 5,452,411 cases were recorded, of whom 19% smoked and 6% received transfusion. Odds ratios for transfusion were 1.06 (95% confidence interval [CI], 1.05-1.07) for smokers versus nonsmokers and 1.06 (95% CI, 1.04-1.09) for current smokers versus never-smokers. Odds ratios for cumulative smoking were 0.97 (95% CI, 0.95-1.00) for greater than 0 to 20 versus 0 pack-years, 1.04 (95% CI, 1.01-1.07) for greater than 20 to 40, and 1.12 (95% CI, 1.09-1.15) for greater than 40 (p for trend < 0.001). Hazard ratios for reoperations due to any cause and to bleeding were 1.28 (95% CI, 1.27-1.31) and 0.99 (95% CI, 0.93-1.04).Conclusion: Smoking was associated with a higher risk of RBC transfusion as a proxy for surgical bleeding across all surgical specialties combined. [ABSTRACT FROM AUTHOR]

Background: Updated prevalence and outcome data for nonobese NAFLD for the multi-ethnic US population is limited.Objectives: We aimed to investigate the prevalence, clinical characteristics and mortality of obese and nonobese individuals with NAFLD in the United Sates.Methods: A retrospective study was conducted using the 1999-2016 NHANES databases. We determined hazard ratio stratified by obesity status in NAFLD individuals using Cox regression and log-rank test.Results: Overall NAFLD prevalence was 32.3%: 22.7% were obese and 9.6% were nonobese, with increasing trend over time for obese NAFLD, but not nonobese NAFLD. Amongst those with NAFLD, 29.7% (95% CI: 27.8%-31.7%) were nonobese, of which 13.6% had lean NAFLD. Nonobese NAFLD was more common in older (40.9% if ≥ 65 vs. 24.2% if < 65 years), male (34.0% vs. 24.2%) and foreign-born Asian people (39.8% vs. 11.4%) and uncommon in black (11.5% vs 30-35% in other ethnicities, P < 0.001). Metabolic comorbidities were common in nonobese NAFLD individuals who also had more advanced fibrosis. Nonobese NAFLD individuals had higher 15-year cumulative all-cause mortality (51.7%) than obese NAFLD (27.2%) and non-NAFLD (20.7%) (P < 0.001). However, DM and fibrosis, but neither obese nor nonobese NAFLD compared to non-NAFLD was independently associated with higher mortality.Conclusion: Nonobese NAFLD makes up about one-third of the NAFLD in the United States (even higher in older, male and foreign-born individuals) and carries higher mortality than obese NAFLD. Screening for NAFLD should be considered in high-risk groups even in the absence of obesity. [ABSTRACT FROM AUTHOR]

Objective: The media's framing of public health issues is closely linked to public opinion on these issues and support for interventions to address them. This study characterized geographic and temporal variation in the US media's framing of obesity across states from 2006 to 2015.Methods: Newspaper articles that mentioned the term obesity were drawn from Access World News (NewsBank, Inc., Naples, Florida), a comprehensive online database (N = 364,288). This study employed automated content analysis, a machine learning technique, to categorize articles as (1) attributing obesity to individual-level causes (e.g., lifestyle behaviors), (2) attributing obesity to environmental/systemic causes (e.g., neighborhood walkability), (3) attributing obesity to both individual-level causes and environmental/systemic causes, or (4) articles without any such attribution framework.Results: Nationwide across all years, a higher proportion of articles focused on individual-level attribution of obesity than environmental-level attribution or both. Missouri and Idaho had the highest proportions of articles with an individual framework, and Nevada, Arkansas, and Wisconsin had the highest proportions of articles with an environmental framework.Conclusions: This analysis demonstrates that US media sources heavily focus on an individual framing of obesity, which may be informing public perceptions of obesity. By highlighting differences in obesity media portrayal, this study could inform research to understand why particular states represent outliers and how this may affect obesity policy making. [ABSTRACT FROM AUTHOR]

Uptake of colorectal cancer screening remains suboptimal. Mailed fecal immunochemical testing (FIT) offers promise for increasing screening rates, but optimal strategies for implementation have not been well synthesized. In June 2019, the Centers for Disease Control and Prevention convened a meeting of subject matter experts and stakeholders to answer key questions regarding mailed FIT implementation in the United States. Points of agreement included: 1) primers, such as texts, telephone calls, and printed mailings before mailed FIT, appear to contribute to effectiveness; 2) invitation letters should be brief and easy to read, and the signatory should be tailored based on setting; 3) instructions for FIT completion should be simple and address challenges that may lead to failed laboratory processing, such as notation of collection date; 4) reminders delivered to initial noncompleters should be used to increase the FIT return rate; 5) data infrastructure should identify eligible patients and track each step in the outreach process, from primer delivery through abnormal FIT follow-up; 6) protocols and procedures such as navigation should be in place to promote colonoscopy after abnormal FIT; 7) a high-quality, 1-sample FIT should be used; 8) sustainability requires a program champion and organizational support for the work, including sufficient funding and external policies (such as quality reporting requirements) to drive commitment to program investment; and 9) the cost effectiveness of mailed FIT has been established. Participants concluded that mailed FIT is an effective and efficient strategy with great potential for increasing colorectal cancer screening in diverse health care settings if more widely implemented. [ABSTRACT FROM AUTHOR]

Objective: To quantify the effects of the Affordable Care Act Medicaid expansion on prescriptions for effective breast cancer hormonal therapies (tamoxifen and aromatase inhibitors) among Medicaid enrollees.Data Source/study Setting: Medicaid State Drug Utilization Database (SDUD) 2011-2018, comprising the universe of outpatient prescription medications covered under the Medicaid program.Study Design: Differences-in-differences and event-study linear models compare population rates of tamoxifen and aromatase inhibitor (anastrozole, exemestane, and letrozole) use in expansion and nonexpansion states, controlling for population characteristics, state, and time.Principal Findings: Relative to nonexpansion states, Medicaid-financed hormonal therapy prescriptions increased by 27.2 per 100 000 nonelderly women in a state. This implies a 28.8 percent increase from the pre-expansion mean of 94.2 per 100 000 nonelderly women in expansion states. The event-study model reveals no evidence of differential pretrends in expansion and nonexpansion states and suggests use grew to 40 or more prescriptions per 100 000 nonelderly women 3-5 years postexpansion.Conclusions: Medicaid expansion may have had a meaningful impact on the ability of lower-income women to access effective hormonal therapies used to treat breast cancer. [ABSTRACT FROM AUTHOR]

Objective: To assess the impact of nonphysician providers on measures of spatial access to primary care in Iowa, a state where physician assistants and advanced practice registered nurses are considered primary care providers.Data Sources: 2017 Iowa Health Professions Inventory (Carver College of Medicine), and minor civil division (MCD) level population data for Iowa from the American Community Survey.Study Design: We used a constrained optimization model to probabilistically allocate patient populations to nearby (within a 30-minute drive) primary care providers. We compared the results (across 10 000 scenarios) using only primary care physicians with those including nonphysician providers (NPPs). We analyze results by rurality and compare findings with current health professional shortage areas.Data Collection/extraction Methods: Physicians and NPPs practicing in primary care in 2017 were extracted from the Iowa Health Professions Inventory.Principal Findings: Considering only primary care physicians, the average unallocated population for primary care was 222 109 (7 percent of Iowa's population). Most of the unallocated population (86 percent) was in rural areas with low population density (< 50/square mile). The addition of NPPs to the primary care workforce reduced unallocated population by 65 percent to 78 252 (2.5 percent of Iowa's population). Despite the majority of NPPs being located in urban areas, most of the improvement in spatial accessibility (78 percent) is associated with sparsely populated rural areas.Conclusions: The inclusion of nonphysician providers greatly reduces but does not eliminate all areas of inadequate spatial access to primary care. [ABSTRACT FROM AUTHOR]

Objective: The 340B program allows safety-net hospitals to acquire discounted outpatient drugs and charge payers full price. We examined whether 340B participation increases safety-net engagement.Data Sources: 340B participation data, Medicare hospital cost reports, American Hospital Association Survey, and Schedule 990 nonprofit hospital tax returns.Study Design: Quasi-experimental difference-in-differences design comparing 340B hospitals (the "treatment" group) before and after participating to changes over time to three alternative "control" groups: all other nonprofit and public hospitals, hospitals that are not participating during our study, and hospitals that were not-yet-participating but started after 2015. Outcome measures include a range of safety-net care measures that are alternatives to the standard uncompensated care: charity care, community benefit spending, charity care policies, and low-profit service-line provision.Data Extraction: We extracted data on all nonprofit and public hospitals from 2011 to 2015. We linked 340B participation data to Medicare hospital cost reports and American Hospital Association data using Medicare hospital identifiers. 990 Data was linked on name and address.Principal Findings: New 340B participation was not associated with a change in uncompensated care, but was associated with a 28.9 percent increase in charity care spending (SE = 8.8), or about $880,000 per hospital. However, total community benefit spending (including charity care) did not change. 340B was associated with an increase in the probability of offering discounted care (4.3 percentage points, SE = 1.6) from 84 to 88 percent and an increase in the income eligibility limit for discounted care (18.9 percentage points, SE = 5.6) from 294 to 313 percent. Participation was not associated with the probability of offering low-profit medical care services.Conclusions: Alternative measures show that newly participating hospitals may increase charity care, potentially through offering more patients discounted care. However, increases appear to be fully offset by reductions in other community benefit programs. [ABSTRACT FROM AUTHOR]

Objective: To determine the correlation between hospital 30-day risk-standardized readmission rates (RSRRs) in elderly adults and those in nonelderly adults and children.Data Sources/study Setting: US hospitals (n = 1760 hospitals admitting adult patients and 235 hospitals admitting both adult and pediatric patients) in the 2013-2014 Nationwide Readmissions Database.Study Design: Cross-sectional analysis comparing 30-day RSRRs for elderly adult (≥65 years), middle-aged adult (40-64 years), young adult (18-39 years), and pediatric (1-17 years) patients.Principal Findings: Hospital elderly adult RSRRs were strongly correlated with middle-aged adult RSRRs (Pearson R2 .69 [95% confidence interval (CI) 0.66-0.71]), moderately correlated with young adult RSRRs (Pearson R2 .44 [95% CI 0.40-0.47]), and weakly correlated with pediatric RSRRs (Pearson R2 .28 [95% CI 0.17-0.38]). Nearly identical findings were observed with measures of interquartile agreement and Kappa statistics. This stepwise relationship between age and strength of correlation was consistent across every hospital characteristic.Conclusions: Hospital readmission rates in elderly adults, which are currently used for public reporting and hospital comparisons, may reflect broader hospital readmission performance in middle-aged and young adult populations; however, they are not reflective of hospital performance in pediatric populations. [ABSTRACT FROM AUTHOR]

Objective: To assess the impact of provider incentive policy on smoking status documentation.Data Sources: Primary data were extracted from structured electronic medical records (EMRs) from 15 community health centers (CHCs).Study Design: This was an observational study of data from 2006 to 2013, assessing changes in documentation of smoking status over time.Data Extraction Methods: We extracted structured EMR data for patients age 18 and older with at least one primary care visit.Principal Findings: Rates of documented smoking status rose from 30 percent in 2006 to 90 percent in 2013; the largest increase occurred from 2011 to 2012 following policy changes (21.3% [95% CI, 8.2%, 34.4%] from the overall trend). Rates varied by clinic and across patient subgroups.Conclusions: Documentation of smoking status improved markedly after introduction of new federal standards. Further improvement in documentation is still needed, especially for males, nonwhite patients, those using opioids, and HIV + patients. More research is needed to study whether changes in documentation lead to improvements in counseling, cessation, and patient outcomes. [ABSTRACT FROM AUTHOR]

Objective: To examine the impact of Section 1115 waivers on Medicaid coverage and opioid agonist therapy (OAT) utilization among substance use treatment admissions.Data Source: Treatment Episode Data Set-Admissions (TEDS-A) (2001-2012).Study Design: We examined effects of 1115 waiver implementation on proportions of substance use treatment admissions with Medicaid and receiving OAT, using random intercept linear regression.Principal Findings: 1115 waiver implementation was associated with an average of a 6 percentage point increase in proportion of all admissions with Medicaid, and 4 percentage point increase among opioid outpatient admissions. Implementation was not associated with change in proportion of opioid outpatient admissions receiving OAT.Conclusions: 1115 waivers influence Medicaid coverage among substance use treatment admissions. The findings improve our understanding of how state policies impact substance use treatment utilization. [ABSTRACT FROM AUTHOR]

Objective: To assess the accuracy of nursing home self-report of major injury falls on the Minimum Data Set (MDS).Data Sources: MDS assessments and Medicare claims, 2011-2015.Study Design/methods: We linked inpatient claims for major injury falls with MDS assessments. The proportion of claims-identified falls reported for each fall-related MDS item was calculated. Using multilevel modeling, we assessed patient and nursing home characteristics that may be predictive of poor reporting. We created a claims-based major injury fall rate for each nursing home and estimated its correlation with Nursing Home Compare (NHC) measures.Principal Findings: We identified 150,828 major injury falls in claims that occurred during nursing home residency. For the MDS item used by NHC, only 57.5 percent were reported. Reporting was higher for long-stay (62.9 percent) than short-stay (47.2 percent), and for white (59.0 percent) than nonwhite residents (46.4 percent). Adjusting for facility-level race differences, reporting was lower for nonwhite people than white people; holding constant patient race, having larger proportions of nonwhite people in a nursing home was associated with lower reporting. The correlation between fall rates based on claims vs the MDS was 0.22.Conclusions: The nursing home-reported data used for the NHC falls measure may be highly inaccurate. [ABSTRACT FROM AUTHOR]

With increasing trend of polypharmacy, drug-drug interaction (DDI)-induced adverse drug events (ADEs) are considered as a major challenge for clinical practice. As premarketing clinical trials usually have stringent inclusion/exclusion criteria, limited comedication data capture and often times small sample size have limited values in study DDIs. On the other hand, ADE reports collected by spontaneous reporting system (SRS) become an important source for DDI studies. There are two major challenges in detecting DDI signals from SRS: confounding bias and false positive rate. In this article, we propose a novel approach, propensity score-adjusted three-component mixture model (PS-3CMM). This model can simultaneously adjust for confounding bias and estimate false discovery rate for all drug-drug-ADE combinations in FDA Adverse Event Reporting System (FAERS), which is a preeminent SRS database. In simulation studies, PS-3CMM performs better in detecting true DDIs comparing to the existing approach. It is more sensitive in selecting the DDI signals that have nonpositive individual drug relative ADE risk (NPIRR). The application of PS-3CMM is illustrated in analyzing the FAERS database. Compared to the existing approaches, PS-3CMM prioritizes DDI signals differently. PS-3CMM gives high priorities to DDI signals that have NPIRR. Both simulation studies and FAERS data analysis conclude that our new PS-3CMM is a new method that is complement to the existing DDI signal detection methods. [ABSTRACT FROM AUTHOR]

Objective: Healthcare leaders seek guidance on prudent investment in programs that improve patient outcomes and reduce costs, which includes the value of nutrition therapy. The purpose of this project was to conduct an evidence review and evaluate claims analyses to understand the financial and quality impact of nutrition support therapy on high-priority therapeutic conditions.Methods: Task 1 included a review of existing literature from 2013 to 2018 to identify evidence that demonstrated the clinical and economic impact of nutrition intervention on patient outcomes across 13 therapeutic areas (TAs). In Task 2, analytic claims modeling was performed using the Medicare Parts A and B claims 5% sample dataset. Beneficiaries diagnosed in 5 selected TAs (sepsis, gastrointestinal [GI] cancer, hospital-acquired infections, surgical complications, and pancreatitis) were identified in the studies from Task 1, and their care costs were modeled based on nutrition intervention.Results: Beginning with 1099 identified articles, 43 articles met the criteria, with a final 8 articles used for the Medicare claims modeling. As examples of the modeling demonstrated, the use of advanced enteral nutrition formula could save at least $52 million annually in a sepsis population. The total projected annual cost savings from the 5 TAs was $580 million.Conclusion: Overall, optimization of nutrition support therapy for specific patient populations is estimated to reduce Medicare spending by millions of dollars per year across key TAs. These findings demonstrate the evidence-based value proposition of timely nutrition support to improve clinical outcomes and yield substantial cost savings. [ABSTRACT FROM AUTHOR]

The article discusses the American Academy of Periodontology's (AAP's) use of a best evidence consensus (BEC) model for defining periodontal phenotype modification therapy (PhMT) for purposes of dental restoration and orthodontic therapy. Topics, including gingival recession and phenotypes, peri-implantitis, disease classification, dental prostheses and keratinized mucosa, are discussed.

Objective: To compare different methods of indexing health care service prices for the commercially insured population across geographic markets.Data Sources: Health Care Cost Institute commercial claims data from 2012 to 2016.Study Design: We compare price indices computed using methods with differing levels of computational intensity: weighted-average versus regression-based methods. We separately compute indices of the prices paid for set of common inpatient and set of common outpatient services in different markets across the United States using each type of method. We subsequently examined the variation of and correlations between the resulting index values.Data Collection/extraction Methods: We computed health care service price indices separately using samples of inpatient and outpatient facility claims from 2012 to 2016 across 112 Core-Based Statistical Areas. Within each category of services, claims were limited to members under the age of 65 with employer-sponsored insurance. Both samples were limited to a common set of services that made up nearly 80 percent of the service use in the full sample every year.Principal Findings: We found that the methods studied produced highly correlated price indices (r > .94) with similar distributions across years for both inpatient and outpatient services.Conclusions: Our findings suggest that weighted-average methods, which are much less computationally intensive, will generate results similar to regression-based methods. [ABSTRACT FROM AUTHOR]

Objective: To estimate Prenatal Care Coordination's (PNCC) effect on birth outcomes for Wisconsin Medicaid-covered deliveries.Data Source: A longitudinal cohort of linked Wisconsin birth records (2008-2012), Medicaid claims, and state-administered social services.Study Design: We defined PNCC treatment dichotomously (none vs. any) and by service level (none vs. assessment/care plan only vs. service uptake). Outcomes were birthweight (grams), low birthweight (<2500 g), gestational age (completed weeks), and preterm birth (<37 weeks). We estimated PNCC's effect on birth outcomes, adjusting for maternal characteristics, using inverse-probability of treatment weighted and sibling fixed effects regressions.Data Collection/extraction Methods: We identified 136 224 Medicaid-paid deliveries, of which 33 073 (24.3 percent) linked to any PNCC claim and 22 563 (16.6 percent) linked to claims for PNCC service uptake.Principal Findings: Sibling fixed effects models-which best adjust for unobserved confounding and treatment selection-produced the largest estimates for all outcomes. For example, in these models, PNCC service uptake was associated with a 1.3 percentage point (14 percent) reduction and a 1.8 percentage point (17 percent) reduction in the probabilities of low birthweight and preterm birth, respectively (all P < .05).Conclusions: PNCC's modest but significant improvement of birth outcomes should motivate stronger PNCC outreach and implementation of similar programs elsewhere. [ABSTRACT FROM AUTHOR]