Prenatal opioid use as a predictor of postpartum suicide attempts among reproductive-age women enrolled in Oregon Medicaid.

BACKGROUND: The rates of suicide and opioid use disorder (OUD) among pregnant and postpartum women continue to increase. This research characterized OUD and suicide attempts among Medicaid-enrolled perinatal women and examined prenatal OUD diagnosis as a marker for postpartum suicide attempts. METHODS: Data from Oregon birth certificates, Medicaid eligibility and claims files, and hospital discharge records were linked and analyzed. The sample included Oregon Medicaid women aged 15-44 who became pregnant and gave live births between January 2008 and January 2016 (N = 61,481). Key measures included indicators of suicide attempts (separately for any means and opioid poisoning) and OUD diagnosis, separately assessed during pregnancy and the one-year postpartum period. Probit regression was used to examine the overall relationship between prenatal OUD diagnosis and postpartum suicide attempts. A simultaneous equations model was employed to explore the link between prenatal OUD diagnosis and postpartum suicide attempts, mediated by postpartum OUD diagnosis. RESULTS: Thirty-three prenatal suicide attempts by any means were identified. Postpartum suicide attempts were more frequent with 58 attempts, corresponding to a rate of 94.3 attempts per 100,000. Of these attempts, 79% (46 attempts) involved opioid poisoning. A total of 1,799 unique women (4.6% of the sample) were diagnosed with OUD either during pregnancy or one-year postpartum with 53% receiving the diagnosis postpartum. Postpartum suicide attempts by opioid poisoning increased from 55.5 per 100,000 in 2009 to 105.1 per 100,000 in 2016. The rate of prenatal OUD also almost doubled over the same period. Prenatal OUD diagnosis was associated with a 0.15%-point increase in the probability of suicide attempts by opioid poisoning within the first year postpartum. This increase reflects a three-fold increase compared to the rate for women without a prenatal OUD diagnosis. A prenatal OUD diagnosis was significantly associated with an elevated risk of postpartum suicide attempts by opioid poisoning via a postpartum OUD diagnosis. CONCLUSIONS: The risk of suicide attempt by opioid poisoning is elevated for Medicaid-enrolled reproductive-age women during pregnancy and postpartum. Women diagnosed with prenatal OUD may face an increased risk of postpartum suicides attempts involving opioid poisoning.

Mandated checkups, knowledge of own health status, and chronic care utilization: The effect of HIV medical evaluation mandates on healthcare quality and expenditure in a US-single payer system.

In an effort to improve military readiness, in 2014 the US Air Force reduced the frequency of mandated HIV medical evaluation visits from every 6 months to every 12 months. We employ this natural experiment using data for 2676 active-duty Military Health System beneficiaries living with HIV with a difference-in-differences empirical strategy using the Army, Navy, and Marines as a control group to estimate the causal effect of reducing the frequency of mandated evaluation visits on the quality and cost of medical care for active-duty military members living with HIV. We find that reducing the frequency of mandated HIV medical evaluation visits reduced the likelihood of regular HIV visits by 23 percentage points but did not affect the likelihood of receiving other preventive care, adhering to HIV therapy, or maintaining viral testing and suppression. The study finds evidence that the recommended level of regular HIV visits may be higher than necessary. The reduction in regular HIV visits was not associated with a similar reduction in the studied quality of care measures, therefore, the effect of alleviating the mandate was overall positive in terms of reducing healthcare utilization without adversely affecting preventive care, HIV therapy, or viral testing and suppression.

Reporting of costs and economic impacts in randomized trials of de-implementation interventions for low-value care: a systematic scoping review.

BACKGROUND: De-implementation of low-value care can increase health care sustainability. We evaluated the reporting of direct costs of de-implementation and subsequent change (increase or decrease) in health care costs in randomized trials of de-implementation research. METHODS: We searched MEDLINE and Scopus databases without any language restrictions up to May 2021. We conducted study screening and data extraction independently and in duplicate. We extracted information related to study characteristics, types and characteristics of interventions, de-implementation costs, and impacts on health care costs. We assessed risk of bias using a modified Cochrane risk-of-bias tool. RESULTS: We screened 10,733 articles, with 227 studies meeting the inclusion criteria, of which 50 included information on direct cost of de-implementation or impact of de-implementation on health care costs. Studies were mostly conducted in North America (36%) or Europe (32%) and in the primary care context (70%). The most common practice of interest was reduction in the use of antibiotics or other medications (74%). Most studies used education strategies (meetings, materials) (64%). Studies used either a single strategy (52%) or were multifaceted (48%). Of the 227 eligible studies, 18 (8%) reported on direct costs of the used de-implementation strategy; of which, 13 reported total costs, and 12 reported per unit costs (7 reported both). The costs of de-implementation strategies varied considerably. Of the 227 eligible studies, 43 (19%) reported on impact of de-implementation on health care costs. Health care costs decreased in 27 studies (63%), increased in 2 (5%), and were unchanged in 14 (33%). CONCLUSION: De-implementation randomized controlled trials typically did not report direct costs of the de-implementation strategies (92%) or the impacts of de-implementation on health care costs (81%). Lack of cost information may limit the value of de-implementation trials to decision-makers. TRIAL REGISTRATION: OSF (Open Science Framework): https://osf.io/ueq32 .

The Economic Burden of Racial, Ethnic, and Educational Health Inequities in the US.

Importance: Health inequities exist for racial and ethnic minorities and persons with lower educational attainment due to differential exposure to economic, social, structural, and environmental health risks and limited access to health care. Objective: To estimate the economic burden of health inequities for racial and ethnic minority populations (American Indian and Alaska Native, Asian, Black, Latino, and Native Hawaiian and Other Pacific Islander) and adults 25 years and older with less than a 4-year college degree in the US. Outcomes include the sum of excess medical care expenditures, lost labor market productivity, and the value of excess premature death (younger than 78 years) by race and ethnicity and the highest level of educational attainment compared with health equity goals. Evidence Review: Analysis of 2016-2019 data from the Medical Expenditure Panel Survey (MEPS) and state-level Behavioral Risk Factor Surveillance System (BRFSS) and 2016-2018 mortality data from the National Vital Statistics System and 2018 IPUMS American Community Survey. There were 87 855 survey respondents to MEPS, 1 792 023 survey respondents to the BRFSS, and 8 416 203 death records from the National Vital Statistics System. Findings: In 2018, the estimated economic burden of racial and ethnic health inequities was $421 billion (using MEPS) or $451 billion (using BRFSS data) and the estimated burden of education-related health inequities was $940 billion (using MEPS) or $978 billion (using BRFSS). Most of the economic burden was attributable to the poor health of the Black population; however, the burden attributable to American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander populations was disproportionately greater than their share of the population. Most of the education-related economic burden was incurred by adults with a high school diploma or General Educational Development equivalency credential. However, adults with less than a high school diploma accounted for a disproportionate share of the burden. Although they make up only 9% of the population, they bore 26% of the costs. Conclusions and Relevance: The economic burden of racial and ethnic and educational health inequities is unacceptably high. Federal, state, and local policy makers should continue to invest resources to develop research, policies, and practices to eliminate health inequities in the US.

The Financial Burden of Cancer on Families in the United States.

This study examined the relationship between a diagnosis of cancer and the likelihood of having any out-of-pocket costs (OOPC) and medical debt, and the amounts of OOPC and medical debt, at the household level. We used the 2013 Panel Study of Income Dynamics, a continuous, representative panel survey that collects demographic, economic, and social data in the United States. The analytic sample included head of households and their spouse (if married), 18-64 years old. Two-part models were used. The first part consisted of logistic regression models and the second part consisted of generalized linear models with logarithmic link and a gamma distribution. Logistic regression results showed odds of 2.13 (CI: 1.27, 3.57, p < 0.01) for any OOPC and odds of 1.55 (CI: 0.93, 2.58, p < 0.1) for any medical debt for households in which either the head or spouse (if married) reported a diagnosis of cancer compared to those that did not report a diagnosis of cancer. Likewise, results from the second part of the model for households with a positive amount of OOPC showed an exponentiated coefficient of 1.73 (CI: 1.33, 2.25, p < 0.01) for households in which either the head or spouse (if married) reported a diagnosis of cancer compared to households without a diagnosis of cancer. This study shows that a diagnosis of cancer places a financial burden on families, particularly with all types of debt, in the United States even after controlling for differences between households with a diagnosis of cancer and those without a diagnosis of cancer.

Variation in Bariatric Surgery Costs and Complication Rates in the Military Health System.

INTRODUCTION: Within the Military Health System (MHS), facilities have struggled to meet minimum recommended volume thresholds for certain procedures. Understanding variations in complication rates and cost can help policymakers tailor policy to target improvement. Our objective was to quantify the variation in bariatric surgery complication rates and costs across a sample of military hospitals. MATERIALS AND METHODS: We study a retrospective cohort of 38 military surgeons practicing in 21 military treatment facilities from 2007 to 2014 who performed 1,277 bariatric surgeries. Data from the Centralized Credentials and Quality Assurance System, which provides education and training characteristics of physicians, were linked to patient encounter data from the MHS Data Repository. Physicians were included if they performed at least five bariatric surgeries over the study period. Patients were included if they had a diagnosis of obesity (body mass index > 30) and underwent a bariatric weight loss surgery. We calculated and summarized inpatient costs and complication rates across both surgeons and facilities using multivariable mixed-effects linear or logistic models. We used these models to calculate adjusted complication rates and average costs across both providers and hospitals to characterize variation in bariatric outcomes within the MHS. This study was considered exempt by the Uniformed Services University Institutional Review Board. RESULTS: We find evidence of large variations in both complication rates and costs per admission. Overall, we found a 15.5% complication rate across the sample. When comparing averages across facilities, we find large variation in complications (49.4% coefficient of variation [CV]) and procedure costs (25.9% CV). Controlling for patient comorbidities, BMI, and year attenuates much of the variation (12.6% CV complications, 4.4% CV cost), but cannot completely explain differences across facilities. Our model suggests that complications cost 32% more than complication-free surgeries on average suggesting that quality improvement efforts could potentially yield large savings. CONCLUSIONS: We find large variations in complication rates even after controlling for patient health. Furthermore, surgical complications are a significant determinant of cost. Policymakers should target efforts to improve surgical quality across facilities and physicians. Surgical quality improvement initiatives could produce savings to the MHS through reduced complications and improved surgical readiness.

Inequalities in Poverty and Income between Single Mothers and Fathers.

BACKGROUND: The American family structure has changed in the past few decades due to a rise in the divorce rate and unmarried women with children. Research suggests a salary disparity between men and women, especially for those women after pregnancy. However, these studies were confined to individuals within traditional families, and there is a lack of information of income disparity and poverty status between single mothers and fathers. The current study explored the disparities in single-parent families based on the household income and the poverty status using a set of nationwide censor data. METHODS: The current study used data from the 2011 and 2013 Panel Study of Income Dynamics (N = 1135). Multivariate regression models were used in the analysis. RESULTS: The demographic characteristics of the weighted population showed that taxable income, total income, and poverty status were higher for single fathers than mothers, while non-work income was higher for single mothers than fathers. Single mothers were much more likely to be at the crisis category than single fathers. Multivariate analyses showed that gender, age, marital status, years of experience, and geographic region had effects on taxable income, and only gender, marital status, and region had effects on poverty status. CONCLUSIONS: The results suggest that vulnerable group of single mothers was acknowledged according to income and poverty status. Age, marital status, years of experience, and region would be the critical factors for predicting the income and poverty status for single parenthood.

Costs for Colon Cancer Treatment Comparing Benefit Types and Care Sources in the US Military Health System.

INTRODUCTION: Cancer is one of the leading causes of morbidity and mortality in the USA, contributing largely to US healthcare spending. Provision of services (direct or purchased) and insurance benefit type may impact cost for cancer care. As a common cause of cancer in both men and women, we aim to compare colon cancer treatment costs between insurance benefit types and care sources in the US Military Health System (MHS) to better understand whether and to what extent these system factors impact cancer care costs. MATERIALS AND METHODS: Department of Defense Central Cancer Registry records and MHS Data Repository administrative claims were used to identify MHS beneficiaries aged 18-64 who were diagnosed with primary colon adenocarcinoma and received treatment between 2003 and 2008. The data linkage was approved by the Institutional Review Boards of the Walter Reed National Military Medical Center, the Defense Health Agency, and the National Institutes of Health. Costs to the MHS for each claim related to cancer treatment were extracted from the linked data and adjusted to 2008 USD. We used quantile regression models to compare median cancer treatment costs between benefit types and care sources (direct, purchased, or both), adjusted for demographic, tumor, and treatment characteristics. RESULTS: The median per capita (n = 801) costs for colon cancer care were $60,321 (interquartile range $24,625, $159,729) over a median follow-up of 1.7 years. The model-estimated treatment costs were similar between benefit types. Patients using direct care had significantly lower estimated median costs [$34,145 (standard error $4,326)] than patients using purchased care [$106,395 ($10,559)] or both care sources [$82,439 ($13,330)], controlled for patient demographic, tumor, and treatment characteristics. Differences in cost by care source were noted for patients with later stage tumors and by treatment type. Relative costs were 2-3 times higher for purchased care compared to direct care for patients with late-stage tumors and for patients receiving chemotherapy or radiation treatment. CONCLUSIONS: In the MHS, median cost for colon cancer treatment was lower in direct care compared to purchased care or patients using a combination of direct and purchased care. The variation in cancer treatment costs between care sources may be due to differences in treatment incentives or capabilities. Additional studies on cost differences between direct and purchased services are needed to understand how provision of care affects cancer treatment costs and to identify possible targets for cost reduction.

Cost-Efficiency of Breast Cancer Care in the US Military Health System: An Economic Evaluation in Direct and Purchased Care.

INTRODUCTION: With the rising costs of cancer care, it is critical to evaluate the overall cost-efficiency of care in real-world settings. In the United States, breast cancer accounts for the largest portion of cancer care spending due to high incidence and prevalence. The purpose of this study is to assess the relationship between breast cancer costs in the first 6 months after diagnosis and clinical outcomes by care source (direct or purchased) in the universal-access US Military Health System (MHS). MATERIALS AND METHODS: We conducted a retrospective analysis of data from the Department of Defense Central Cancer Registry and MHS Data Repository administrative records. The institutional review boards of the Walter Reed National Military Medical Center and the Defense Health Agency reviewed and approved the data linkage. We used the linked data to identify women aged 40-64 who were diagnosed with pathologically-confirmed breast cancer between 2003 and 2007 with at least 1 year of follow-up through December 31, 2008. We identified cancer treatment from administrative data using relevant medical procedure and billing codes and extracted costs paid by the MHS for each claim. Multivariable Cox proportional hazards models estimated hazards ratios (HR) and 95% confidence intervals (CI) for recurrence or all-cause death as a function of breast cancer cost in tertiles. RESULTS: The median cost per patient (n = 2,490) for cancer care was $16,741 (interquartile range $9,268, $28,742) in the first 6 months after diagnosis. In direct care, women in the highest cost tertile had a lower risk for clinical outcomes compared to women in the lowest cost tertile (HR 0.58, 95% CI 0.35, 0.96). When outcomes were evaluated separately, there was a statistically significant inverse association between higher cost and risk of death (p-trend = 0.025) for women receiving direct care. These associations were not observed among women using purchased care or both care sources. CONCLUSIONS: In the MHS, higher breast cancer costs in the first 6 months after diagnosis were associated with lower risk for clinical outcomes in direct care, but not in purchased care. Organizational, institutional, and provider-level factors may contribute to the observed differences by care source. Replication of our findings in breast and other tumor sites may have implications for informing cancer care financing and value-based reimbursement policy.

The Importance of Evaluating Health Disparities Research.

Health disparity populations are socially disadvantaged, and the multiple levels of discrimination they often experience mean that their characteristics and attributes differ from those of the mainstream. Programs and policies targeted at reducing health disparities or improving minority health must consider these differences. Despite the importance of evaluating health disparities research to produce high-quality data that can guide decision-making, it is not yet a customary practice. Although health disparities evaluations incorporate the same scientific methods as all evaluations, they have unique components such as population characteristics, sociocultural context, and the lack of health disparity common indicators and metrics that must be considered in every phase of the research. This article describes evaluation strategies grouped into 3 components: formative (needs assessments and process), design and methodology (multilevel designs used in real-world settings), and summative (outcomes, impacts, and cost). Each section will describe the standards for each component, discuss the unique health disparity aspects, and provide strategies from the National Institute on Minority Health and Health Disparities Metrics and Measures Visioning Workshop (April 2016) to advance the evaluation of health disparities research.

A Systems Approach to Person-Centric Health Economics.

The economics of health and the economics of health care are not the same, and in fact can be competitors for resources in some cases. Using a traditional supply/demand framework can clarify the forces at work in person-centric health economics. Use of cost-effectiveness analysis, employing a broader systems perspective that incorporates sectors other than health care, and nudging individuals to better health habits are three strategies that can help to drive a shift from health care to health.

Assessing practice pattern differences in the treatment of acute low back pain in the United States Military Health System.

BACKGROUND: Acute low back pain is one of the most common reasons for individuals to seek medical care in the United States. The US Military Health System provides medical care to approximately 9.4 million beneficiaries annually. These patients also routinely suffer from acute low back pain. Within this health system, patients can receive care and treatment from physicians, or physician extenders including physician assistants and nurse practitioners. Given the diversity of provider types and their respective training programs, it would be informative to evaluate variation in care delivery, adherence to clinical guidelines, and differences within the MHS among a complex mix of provider types. METHODS: This study was a retrospective, cross-sectional quantitative analysis that examined variations in treatment between provider types within the Military Health System in 2015 for treatment of acute low back pain using administrative data. In addition to descriptive and summary statistics, binomial logistic regression models were used to assess variation in practice patterns among physicians and mid-level practitioners for prescribing of non-steroidal anti-inflammatory, opioids, plain radiography, computed tomography, and magnetic resonance imaging. RESULTS: With regard to prescribing practices, results indicated that the odds of receiving non-steroidal anti-inflammatory prescriptions increased significantly for both physician assistants and nurse practitioners when compared to physicians. For basic radiological referrals, odds increased significantly for ordering plain radiography for physician assistants and nurse practitioners when compared to physicians. For more advanced imaging, odds significantly decreased for ordering computed tomography (CT) and slightly decreased for magnetic resonance for physician assistants, nurse practitioners and physician residents compared to the physician group. Additionally this study discovered differences in the prescribing patterns between provider categories. Both contractors and civilians had higher odds of prescribing opioids compared to active duty providers. CONCLUSIONS: As physician assistants and nurse practitioners continue to gain popularity as physician extenders in the US and in addressing provider shortages for the Military Health System, further research should be conducted to determine what impact, if any, the differences found in this study have on patient outcomes. In addition, provider type warrants further investigation to determine if labor mix and outsourcing decisions within a single payer system impacts health delivery and value based care.

The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States.

INTRODUCTION: To examine the relationship between chronic health conditions and out-of-pocket costs (OOPC) and medical debt. METHODS: Secondary data from the 2013 Panel Study of Income Dynamics (PSID) was used. Households whose head of household and spouse (for married households) were 18 to 64 years old were included. RESULTS: Households with 1 to 3 chronic conditions had higher odds of having any OOPC compared to households with no chronic conditions (AOR 1.74, 95% CI 1.39, 2.17) (p < .01). Households with 1 to 3 and 4 or more chronic health conditions were associated with higher odds of having any medical debt (AOR 2.24, 95% CI 1.75 to 2.87; AOR 5.04, 95% CI 3.04 to 8.34) compared to those with no chronic conditions (p < 0.01). Similarly, 1 to 3 and 4 or more chronic health conditions was associated with higher amounts of OOPC (Exponentiated Coefficient 1.18, 95% CI 1.03 to 1.36; Exponentiated Coefficient 1.56, 95% CI 1.17 to 2.07) and medical debt (Exponentiated Coefficient 1.69, 95% CI 1.23 to 2.34; Exponentiated Coefficient 2.73, 95% CI 1.19 to 6.25) compared to households with no chronic conditions (p < 0.05). CONCLUSIONS: Findings from this study show that the presence of chronic health conditions impose a large financial burden on some households.

Decision analytic modeling for the economic analysis of proton radiotherapy for non-small cell lung cancer.

BACKGROUND: Although proton radiation treatments are more costly than photon/X-ray therapy, they may lower overall treatment costs through reducing rates of severe toxicities and the costly management of those toxicities. To study this issue, we created a decision-model comparing proton vs. X-ray radiotherapy for locally advanced non-small cell lung cancer patients. METHODS: An influence diagram was created to model for radiation delivery, associated 6-month pneumonitis/esophagitis rates, and overall costs (radiation plus toxicity costs). Pneumonitis (age, chemo type, V20, MLD) and esophagitis (V60) predictors were modeled to impact toxicity rates. We performed toxicity-adjusted, rate-adjusted, risk group-adjusted, and radiosensitivity analyses. RESULTS: Upfront proton treatment costs exceeded that of photons [$16,730.37 (3DCRT), $23,893.83 (IMRT), $41,061.80 (protons)]. Based upon expected population pneumonitis and esophagitis rates for each modality, protons would be expected to recover $1,065.62 and $1,139.63 of the cost difference compared to 3DCRT or IMRT. For patients treated with IMRT experiencing grade 4 pneumonitis or grade 4 esophagitis, costs exceeded patients treated with protons without this toxicity. 3DCRT patients with grade 4 esophagitis had higher costs than proton patients without this toxicity. For the risk group analysis, high risk patients (age >65, carboplatin/paclitaxel) benefited more from proton therapy. A biomarker may allow patient selection for proton therapy, although the AUC alone is not sufficient to determine if the biomarker is clinically useful. CONCLUSIONS: The comparison between proton and photon/X-ray radiation therapy for NSCLC needs to consider both the up-front cost of treatment and the possible long term cost of complications. In our analysis, current costs favor X-ray therapy. However, relatively small reductions in the cost of proton therapy may result in a shift to the preference for proton therapy.

Costs for Breast Cancer Care in the Military Health System: An Analysis by Benefit Type and Care Source.

Introduction: Breast cancer care imposes a significant financial burden to U.S. healthcare systems. Health services factors, such as insurance benefit type and care source, may impact costs to the health system. Beneficiaries in the U.S. Military Health System (MHS) have universal healthcare coverage and access to a network of military facilities (direct care) and private practices (purchased care). This study aims to quantify and compare breast cancer care costs to the MHS by insurance benefit type and care source. Materials and Methods: We conducted a retrospective analysis of data linked between the MHS data repository administrative claims and central cancer registry databases. The institutional review boards of the Walter Reed National Military Medical Center, the Defense Health Agency, and the National Institutes of Health Office of Human Subjects Research reviewed and approved the data linkage. We used the linked data to identify records for women aged 40-64 yr who were diagnosed with breast cancer between 2003 and 2007 and to extract information on insurance benefit type, care source, and cost to the MHS for breast cancer treatment. We estimated per capita costs for breast cancer care by benefit type and care source in 2008 USD using generalized linear models, adjusted for demographic, pathologic, and treatment characteristics. Results: The average per capita (n = 2,666) total cost for breast cancer care was $66,300 [standard error (SE) $9,200] over 3.31 (1.48) years of follow-up. Total costs were similar between benefit types, but varied by care source. The average per capita cost was $34,500 ($3,000) for direct care (n = 924), $96,800 ($4,800) for purchased care (n = 622), and $60,700 ($3,900) for both care sources (n = 1,120), respectively. Care source differences remained by tumor stage and for chemotherapy, radiation, and hormone therapy treatment types. Conclusions: Per capita costs to the MHS for breast cancer care were similar by benefit type and lower for direct care compared with purchased care. Further research is needed in breast and other tumor sites to determine patterns and determinants of cancer care costs between benefit types and care sources within the MHS.

The Association Between the Use of the Education Benefits from the G.I. Bill and Veterans' Health.

Background: There is limited knowledge on the impact of education on veterans' health in the United States. This study specifically examines the relationship between the education benefits from the G.I. Bill and veterans' health. Methods: This study used data from the 2010 National Survey of Veterans. The subjects for this study were 5,052 veterans who were eligible to receive G.I. Bill benefits, representing a total of about 12.7 million non-institutionalized veterans in the United States in 2010. The dependent variables included self-reported health status and smoking behavior. The key independent variable was whether veterans used the education benefits from the G.I. Bill compared with those who were eligible but did not use them. Findings: Results from multivariate regression analyses showed that those who used the education benefits from the G.I. Bill were 4% less likely to report fair/poor health (p < 0.01) and 3% less likely to report any smoking (p < 0.05) compared with those who did not use the education benefits. Additional analyses showed that using the education benefits to attend college decreased the probability of being in fair/poor health by 4% (p < 0.10) and being a smoker by 4% (p < 0.05) compared with those who did not attend college but used their benefits for non-college attainment such as business, technical, or vocational schools. More importantly, a larger association was found between the use of the education benefits from the G.I. Bill to obtain a college degree and fair/poor health (7%, p < 0.05) and smoking behavior (9%, p < 0.01) compared with those who attended college but did not obtain a college degree. Discussion: This study shows that providing opportunities for service members to complete their education also has important health benefits.

Can a mindfulness-informed intervention reduce aggressive behaviour in people with intellectual disabilities? Protocol for a feasibility study.

BACKGROUND: Approximately 10-20 % of adults with intellectual disabilities engage in challenging behaviours such as aggression, destructiveness, and self-injury, which are often accompanied by feelings of anger. The inability to manage anger can reduce quality of life. For example, aggression is a strong predictor of out-of-area placements and is a risk variable for abuse. Recent research suggests that mindfulness-based therapies (specifically, Singh's Soles of the Feet meditation) can help people with intellectual disabilities manage angry emotions, with resultant reductions in challenging behaviour. However, previous research has been single-case design studies, and no group studies have been published with people with intellectual disabilities and aggressive behaviour. METHODS/DESIGN: For this feasibility study, a UK protocol will be developed for use by health professionals within National Health Service (NHS) Intellectual Disability (ID) teams, based upon Singh's Soles of the Feet manual. Twenty adults with intellectual disabilities and identified problems with anger control will be recruited and six sessions will be delivered by a trained ID clinician. The study will monitor participant's aggressive behaviour, health-related quality of life, anxiety, depression, and use of support services (medication, hospital appointments etc.). These will be measured at three time points: (1) Baseline (within 2 weeks prior to the first session of the intervention), (2) 2 months post-baseline, and (3) 6 months post-baseline. Qualitative interviews will be conducted with participants, their carers, and the therapists who delivered the intervention. In order to help design an economic evaluation alongside a future full trial, we will cost the intervention and test the acceptability and validity of health economics measures to record resource use and health-related quality of life outcomes. DISCUSSION: The data from this study will inform the feasibility of the project protocol and intervention, which will help develop future research and to determine whether a larger, randomised controlled trial with concurrent economic evaluation is feasible. TRIAL REGISTRATION: UKCERN: 16743.

Cost-Effectiveness Analysis of Intensity Modulated Radiation Therapy Versus 3-Dimensional Conformal Radiation Therapy for Preoperative Treatment of Extremity Soft Tissue Sarcomas.

PURPOSE: Create a cost-effectiveness model comparing preoperative intensity modulated radiation therapy (IMRT) versus 3-dimensional conformal radiation therapy (3DCRT) for extremity soft tissue sarcomas. METHODS AND MATERIALS: Input parameters included 5-year local recurrence rates, rates of acute wound adverse events, and chronic toxicities (edema, fracture, joint stiffness, and fibrosis). Health-state utilities were used to calculate quality-adjusted life years (QALYs). Overall treatment costs per QALY or incremental cost-effectiveness ratio (ICER) were calculated. Roll-back analysis was performed using average costs and utilities to determine the baseline preferred radiation technique. One-way, 2-way, and probabilistic sensitivity analyses (PSA) were performed for input parameters with the largest impact on the ICER. RESULTS: Overall treatment costs were $17,515.58 for 3DCRT compared with $22,920.51 for IMRT. The effectiveness was higher for IMRT (3.68 QALYs) than for 3DCRT (3.35 QALYs). The baseline ICER for IMRT was $16,842.75/QALY, making it the preferable treatment. The ICER was most sensitive to the probability of local recurrence, upfront radiation costs, local recurrence costs, certain utilities (no toxicity/no recurrence, grade 1 toxicity/no local recurrence, grade 4 toxicity/no local recurrence), and life expectancy. Dominance patterns emerged when the cost of 3DCRT exceeded $15,532.05 (IMRT dominates) or the life expectancy was under 1.68 years (3DCRT dominates). Furthermore, preference patterns changed based on the rate of local recurrence (threshold: 13%). The PSA results demonstrated that IMRT was the preferred cost-effective technique for 64% of trials compared with 36% for 3DCRT. CONCLUSIONS: Based on our model, IMRT is the preferred technique by lowering rates of local recurrence, severe toxicities, and improving QALYs. From a third-party payer perspective, IMRT should be a supported approach for extremity soft tissue sarcomas.

Quality and Cost of Diabetes Mellitus Care in Community Health Centers in the United States.

OBJECTIVE: To examine variations in the quality and cost of care provided to patients with diabetes mellitus by Community Health Centers (CHCs) compared to other primary care settings. RESEARCH DESIGN AND METHODS: We used data from the 2005-2008 Medical Expenditure Panel Survey (N = 2,108). We used two dependent variables: quality of care and ambulatory care expenditures. Our primary independent variable was whether the respondent received care in a Community Health Centers (CHCs) or not. We estimated logistic regression models to determine the probability of quality of care, and used generalized linear models with log link and gamma distribution to predict expenditures for CHC users compared to non-users of CHCs, conditional on patients with positive expenditures. RESULTS: Results showed that variations of quality between CHC users and non-CHC users were not statistically significant. Patients with diabetes mellitus who used CHCs saved payers and individuals approximately $1,656 in ambulatory care costs compared to non-users of CHCs. CONCLUSIONS: These findings suggest an opportunity for policymakers to control costs for diabetes mellitus patients without having a negative impact on quality of care.

Incremental Cost of Emergency Versus Elective Surgery.

OBJECTIVE: To determine hospital costs and the adjusted risk of death associated with emergent versus elective surgery. BACKGROUND: Emergency surgery has a higher cost and worse outcomes compared with elective surgery. However, no national estimates of the excess burden of emergency surgery exist. METHODS: Nationwide Inpatient Sample (NIS) data from 2001 to 2010 were analyzed. Patients aged 18 years or older who underwent abdominal aortic aneurysm repair, coronary artery bypass graft, or colon resection for neoplasm were included. Using generalized linear models with propensity scores, cost differences for emergent versus elective admission were calculated for each procedure. Multivariable logistic regression was performed to investigate the adjusted odds of mortality comparing elective and emergent cases. Discharge-level weights were applied to analyses. RESULTS: A total of 621,925 patients, representing a weighted population of 3,057,443, were included. The adjusted mean cost difference for emergent versus elective care was $8741.22 (30% increase) for abdominal aortic aneurysm repair, $5309.78 (17% increase) for coronary artery bypass graft, and $7813.53 (53% increase) for colon resection. If 10% of the weighted estimates of emergency procedures had been performed electively, the cost benefit would have been nearly $1 billion, at $996,169,160 (95% confidence interval [CI], $985,505,565-$1,006,834,104). Elective surgery patients had significantly lower adjusted odds of mortality for all procedures. CONCLUSIONS: Even a modest reduction in the proportion of emergent procedures for 3 conditions is estimated to save nearly $1 billion over 10 years. Preventing emergency surgery through improved care coordination and screening offers a tremendous opportunity to save lives and decrease costs.