Enrollment in the Supported Employment Demonstration: An Employment Intervention for Denied Disability Benefits Applicants with a Mental Impairment.

The Supported Employment Demonstration enrolled denied Social Security Disability Benefits applicants with alleged or documented mental impairment into an employment and health intervention. Recruiters attempted to contact 21,003 applicants located near participating community mental health agencies, and enrolled 2960 eligible applicants from November 2017 through March 2019. Among potentially eligible enrollees, 26.2% enrolled. We use regression analysis incorporating disability application data, local area economic characteristics, and benefits receipt information to assess probability of enrollment. Complementary qualitative data were drawn from ethnographic interviews with enrollees and non-enrollees. Quantitative results suggest males, people with limited work experience, and people with higher educational attainment were more likely to enroll. SSA denial based on assessment that the applicant could find alternative work in the national economy also strongly predicted enrollment. Denied applicants were also more likely to enroll if their local unemployment rate was high and if average wages in their county were rising rapidly. Qualitative interviews suggest that enrollees joined because they felt the study would improve their lives, although some enrollees reported they enrolled for the financial incentives of interview participation. Key reasons for non-enrollment include (1) lack of interest in work and (2) the perception that subjects' health prevented them from working. Comparisons between the sample selected for contact and the sample not selected for contact showed the two groups were largely identical. The SED achieved considerably higher recruitment rates than comparable studies. Applicant and local economic characteristics relate to the likelihood of enrollment. Clinical Trials Registration: This study is registered with ClinicalTrials.gov: registration number NCT03682263. This study follows the Mixed Methods guidelines.

Helping People Denied Disability Benefits for a Mental Health Impairment: The Supported Employment Demonstration.

Social Security Administration demonstration projects that are intended to help people receiving disability benefits have increased employment but not the number of exits from disability programs. The Supported Employment Demonstration (SED) is a randomized controlled trial (RCT) of services for individuals with mental health problems before they enter disability programs. The SED aims to provide health, employment, and other support services that help them become self-sufficient and avoid entering disability programs. The target population is people who have been denied Social Security disability benefits for a presumed psychiatric impairment. Thirty community-based programs across the United States serve as treatment sites; inclusion in the SED was based on the existence of high-fidelity employment programs that use the individual placement and support model, the ability to implement team-based care, and the willingness to participate in a three-armed RCT. In the SED trial, one-third of 2,960 participants receive services as usual, one-third receive services from a multidisciplinary team that includes integrated supported employment, and one-third receive services from a similar team that also includes a nurse care coordinator for medication management support and medical care. The goals of the study are to help people find employment, attain better health, and delay or avoid disability program entry. This article introduces the SED.

A randomized controlled trial of a trauma-informed school prevention program for urban youth: Rationale, design, and methods.

INTRODUCTION: Youth in disadvantaged urban areas are frequently exposed to chronic stress and trauma, including housing instability, neighborhood violence, and other poverty-related adversities. These exposures increase risk for emotional, behavioral, and academic problems and ultimately, school dropout. Schools are a promising setting in which to address these issues; however, there are few universal, trauma-informed school-based interventions for urban youth. METHODS/DESIGN: Project POWER (Promoting Options for Wellness and Emotion Regulation) is a randomized controlled trial testing the impact of RAP Club, a trauma-informed intervention for eighth graders that includes mindfulness as a core component. Students in 32 urban public schools (n = 800) are randomly assigned to either RAP Club or a health education active control group. We assess student emotional, behavioral, and academic outcomes using self-report surveys and teacher ratings at baseline, post-intervention, and 4-month follow up. Focus groups and interviews with students, teachers, and principals address program feasibility, acceptability, and fidelity, as well as perceived program impacts. Students complete an additional self-report survey in ninth grade. Schools provide students' academic and disciplinary data for their seventh, eighth, and ninth grade years. In addition, data on program costs are collected to conduct an economic analysis of the intervention and active control programs. DISCUSSION: Notable study features include program co-leadership by young adults from the community and building capacity of school personnel for continued program delivery. In addition to testing program impact, we will identify factors related to successful program implementation to inform future program use and dissemination.

Working with a Severe Mental Illness: Estimating the Causal Effects of Employment on Mental Health Status and Total Mental Health Costs.

Employment is an important goal for persons who have a severe mental illness (SMI). The current literature finds some evidence for a positive relationship between employment and measures of mental health (MH) status, however study design issues have prevented a causal interpretation. This study aims to measure the causal effect of employment on MH status and total MH costs for persons with SMI. In a quasi-experimental prospective design, self-reported data measured at baseline, 6-months, and 12-months, on MH status and employment are paired with Public Mental Health System (PMHS) claims data. The study population (N = 5162) is composed of persons with a SMI who received PMHS services for a year or more. Outcome variables are MH status symptom scores from the BASIS-24 instrument and total MH costs. The estimation method is full information maximum likelihood, which allows for tests of employment endogeneity. Outcomes with an insignificant test of endogeneity are estimated using tobit or ordinary least square (OLS). Employment has modest but meaningful effects on MH status (including overall MH status, functioning, and relationships) and reduces total mental health costs on average by $538 in a 6-month period. Tests of endogeneity were largely insignificant, except for the depression score that tested marginally statistically significant. Interaction terms between baseline MH scores and employment indicated larger employment effects for individuals with worse baseline scores. This study demonstrates the non-vocational benefits of employment for individuals with SMI. Results have high generalizability and should be of interest to federal and state governments in setting appropriate disability policy and funding vocational programs. From a methodological perspective, future research should still be concerned with potential endogeneity problems, especially if employment status and MH outcomes are simultaneously measured and/or baseline measures of MH are not adequately controlled for future research should continue to examine the multi-dimensional nature of MH status and costs. Our analyses also demonstrate the practical use of a state-wide outcomes measurement program in assessing the factors that influence the recovery trajectories of individuals with SMI.

Impacting Entry into Evidence-Based Supported Employment: A Population-Based Empirical Analysis of a Statewide Public Mental Health Program in Maryland.

We use discrete-time survival regression to study two empirical issues relating to take-up of individual placement and support (IPS) supported employment (SE) services for persons with serious mental illness: (1) the influence of client characteristics on take-up probability, and (2) the possible impacts of a major recent initiative in one state (Maryland) to overcome barriers to IPS-SE expansion. Our longitudinal analysis of population-based Medicaid cohorts, during 2002-2010, provides tentative evidence of positive state initiative impacts on SE take-up rates, and evidence of effects on take-up for clients' diagnoses, prior work-history, health and demographic characteristics, and geographic accessibility to SE providers.

Estimating the Economic Value of Information for Screening in Disseminating and Targeting Effective School-based Preventive Interventions: An Illustrative Example.

When candidates for school-based preventive interventions are heterogeneous in their risk of poor outcomes, an intervention's expected economic net benefits may be maximized by targeting candidates for whom the intervention is most likely to yield benefits, such as those at high risk of poor outcomes. Although increasing amounts of information about candidates may facilitate more accurate targeting, collecting information can be costly. We present an illustrative example to show how cost-benefit analysis results from effective intervention demonstrations can help us to assess whether improved targeting accuracy justifies the cost of collecting additional information needed to make this improvement.

Policy Implications of the Mental Health Treatment Study.

The Social Security Administration's Mental Health Treatment Study (MHTS) produced positive mental health, employment, and quality of life outcomes for people on Social Security Disability Insurance (SSDI). The investigators discuss major policy implications. First, because integrated, evidence-based mental health and vocational services produced clinical and societal benefits, the authors recommend further service implementation for this population. Second, because provision of these services did not reduce SSDI rolls, the authors recommend future research on prevention (helping people avoid needing SSDI) rather than rehabilitation (helping beneficiaries leave SSDI). Third, because integrating mental health, vocational, and general medical services was extremely difficult, the authors recommend a multifaceted approach that includes streamlined funding and infrastructure for training and service integration. Fourth, because insurance coverage for people with disabilities during the MHTS (pre-Affordable Care Act) was chaotic, the authors recommend that financing strategies emphasize functional-not just traditional clinical-outcomes.

Increasing earnings of social security disability income beneficiaries with serious mental disorder.

BACKGROUND: Persons with severe and persistent mental disorders (SPMD) have extremely low earnings levels and account for 29.1 percent of all U.S. Social Security Disability Income (SSDI) disabled worker beneficiaries under age 50. Social insurance and disability policy experts pointed to several factors that may contribute to this situation, including disincentives and obstacles in the SSDI program, as well as lack of access to evidence-based behavioral-health interventions. In response, the Social Security Administration (SSA) funded the Mental Health Treatment Study (MHTS) demonstration that included 2,238 beneficiaries of SSDI whose primary reason for disability is SPMD. The demonstration, implemented in 23 different localities, consisted of two evidence-based services (individual placement and support supported employment (IPS-SE), systematic medication management (SMM)), and provision or coverage of additional behavioral-health services (OBH). STUDY AIMS: This study focused on estimating MHTS intervention effects on earnings in the intervention period (two-years). The main outcome variable was self-reported average monthly earnings. METHODS: Subjects were randomly assigned to intervention or control groups. Data were drawn from the baseline survey, seven follow-up quarterly surveys, a final follow-up survey, and SSA administrative data. In all surveys, respondents were asked about earnings prior to the interview. Dependent variables were average past-30-days earnings reported in all follow-up surveys, similar averages for the first four follow-ups and for the last four follow-ups, fraction of surveys with prior earnings above SSA's substantial gainful activity (SGA) threshold, and final-follow-up earnings for the past 90 days. Regression analyses compared earnings of intervention vs. control group subjects. Covariates included baseline values of: (i) beneficiary demographic and social characteristics; (ii) beneficiary physical and mental health indicators; (iii) beneficiary recipiency history; (iv) beneficiary pre-recruitment and baseline earnings; and (v) local labor-market unemployment rates. RESULTS: Results show significant positive MHTS earnings impacts. Estimated annual increases of earnings range from USD791 (based on the 2-year average) to USD1,131 (based on the final quarter of Year 2). Effects on the fraction of quarters with earnings exceeding SGA are positive and significant but very small in magnitude. DISCUSSION: The consistent increase in earnings impacts over the study period suggests the possibility of even larger impacts with longer-term interventions. The moderate size of the intervention impacts may partly be explained by a study population that already had an average of 9 years on SSDI, and whose labor-supply decisions continued to be affected by concerns about possible loss of benefits. Limitations are that (i) earnings effects of specific intervention components cannot be estimated since all treatment subjects received the same package of services, and (ii) study results may not generalize to the majority of the beneficiary population due to selection effects in beneficiaries' participation decisions. IMPLICATIONS: Replication of the MHTS on a broader scale should show similar positive earnings impacts for a substantial number of beneficiaries with characteristics similar to the study population. Future studies should consider reducing policy barriers to labor supply of persons with SPMD. Future studies should consider longer-term interventions, or at least measuring impacts for follow-up periods greater than two years.

Assessing the IQ-earnings link in environmental lead impacts on children: have hazard effects been overstated?

Studies in the 1990s by Schwartz and by Salkever provided the bases for measuring the earnings impacts of IQ decrements due to lead exposure for children, and many subsequent regulatory, policy guidance, and academic analyses adopted the estimates from these studies. Results by Salkever implied somewhat greater impacts of IQ decrements, but have been contested, in a series of more recent critical review articles, as overestimates of the negative impacts on children׳s future earnings caused by IQ decrements due to lead exposure. This paper examines the contentions of proponents of this overstatement hypothesis, the applicability of the evidence they offer, and the results from an additional important study from 1998 heretofore overlooked in the literature. Results of this examination indicate that the evidence for the overstatement hypothesis is seriously flawed. Studies cited to support this hypothesis (1) often report only evidence on wage impacts and thus ignore IQ impacts on hours of work and work participation rates, (2) give lesser weight to or completely exclude population groups that show relatively higher IQ impacts (e.g., women), and (3) give substantial weight to pre-1980 wage and earning data, thereby omitting the influence of recent upward trends in skill differentials in earnings and increasing returns to education. Because of these and other deficiencies, available evidence does not substantiate the overstatement hypothesis. In contrast, recent evidence overlooked by the proponents of this hypothesis suggests that the results reported by Salkever understate the actual strength of the negative IQ impacts from lead exposure.

Level-I trauma centre treatment effects on return to work in teaching hospitals.

BACKGROUND: Previous research found a positive effect of Level-I trauma centres on return to work outcomes for patients 18-64 years old who were mainly working before injury. Trauma centres were compared to hospitals that differed on average in characteristics such as size and staffing, among others. Thus, a portion of the effect found could be due to general differences in hospital variables rather than the special characteristics of Level I trauma centres. Comparing Level I trauma centres to other Teaching hospitals provides a more refined test of the effect of these centres on return-to-work outcomes. METHODS: The National Study on the Costs and Outcomes of Trauma (NSCOT) is the main source of data for our empirical investigation. We used non-linear instrumental variables methods to control for unobserved characteristics and restrict the sample to teaching hospitals. The first method is the two-stage residual inclusion model in which we identify the effect using the proportion of resident population served by Helicopter Ambulance Services (at the state level) as an instrumental variable. The second method is a recursive bivariate probit model. RESULTS: We found that treatment at Level-I trauma centres has a positive effect on return to work outcomes three months after injury. The estimated effect is statistically significant and positive, but lower than the estimate that did not focus on teaching hospitals. CONCLUSIONS: A previous study found positive effects of treatment at a Level-I trauma centre on return-to-work outcomes, however, a portion of the effect found was due to general differences in hospital variables.

Do comprehensive, coordinated, recovery-oriented services alter the pattern of use of treatment services? Mental health treatment study impacts on SSDI beneficiaries' use of inpatient, emergency, and crisis services.

Current arrangements for financing and delivering behavioral health services to U.S. working-age adults with severe and persistent mental disorders (SPMD) have major inadequacies in funding for and access to critical elements of a recovery-oriented, comprehensive, and coordinated package of community-based treatment and rehabilitation services. This study presents results from a nation-wide 2-year randomized trial, involving 2,238 SSDI beneficiaries with SPMD, of a comprehensive intervention including evidence-based treatment and employment services. Estimates of impacts of the MHTS service intervention package, from a variety of regression specifications, showed clearly significant treatment group reductions in four outcomes (hospital stays and days, ER visits for mental health problems, and psychiatric crisis visits); these estimates suggest annual inpatient hospital treatment cost savings in excess of approximately $900 to 1,400. Negative estimated MHTS effects on three other utilization outcomes (hospital stays and days for mental health problems, overall ER visits) generally did not achieve statistical significance. Possible study implications for cost offsets from further expansions/replications of the MHTS intervention model are considered within the context of health reform.

Assisting Social Security Disability Insurance beneficiaries with schizophrenia, bipolar disorder, or major depression in returning to work.

OBJECTIVE: People with psychiatric impairments (primarily schizophrenia or a mood disorder) are the largest and fastest-growing group of Social Security Disability Insurance (SSDI) beneficiaries. The authors investigated whether evidence-based supported employment and mental health treatments can improve vocational and mental health recovery for this population. METHOD: Using a randomized controlled trial design, the authors tested a multifaceted intervention: team-based supported employment, systematic medication management, and other behavioral health services, along with elimination of barriers by providing complete health insurance coverage (with no out-of-pocket expenses) and suspending disability reviews. The control group received usual services. Paid employment was the primary outcome measure, and overall mental health and quality of life were secondary outcome measures. RESULTS: Overall, 2,059 SSDI beneficiaries with schizophrenia, bipolar disorder, or depression in 23 cities participated in the 2-year intervention. The teams implemented the intervention package with acceptable fidelity. The intervention group experienced more paid employment (60.3% compared with 40.2%) and reported better mental health and quality of life than the control group. CONCLUSIONS: Implementation of the complex intervention in routine mental health treatment settings was feasible, and the intervention was effective in assisting individuals disabled by schizophrenia or depression to return to work and improve their mental health and quality of life.

Social costs of expanding access to evidence-based supported employment: concepts and interpretive review of evidence.

A recent policy analysis argued that expanding access to evidence-based supported employment can provide savings in major components of social costs. This article extends the scope of this policy analysis by placing the argument within a recently developed economic framework for social cost-effectiveness analysis that defines a program's social cost impact as its effect on net consumption of all goods and services. A total of 27 studies over the past two decades are reviewed to synthesize evidence of the social cost impacts of expanding access to the individual placement and support model of supported employment (IPS-SE). Most studies have focused primarily on agency costs of providing IPS-SE services, cost offsets when clients shift from "traditional" rehabilitation to IPS-SE, and impacts on clients' earnings. Because costs and cost offsets are similar in magnitude, incremental costs of expanding services to persons who would otherwise receive traditional services are probably small or even negative. The population served by an expansion could be sizable, but the feasibility of a policy targeting IPS-SE expansion in this way has yet to be demonstrated. IPS-SE has positive impacts on competitive job earnings, but these may not fully translate into social cost offsets. Additional empirical support is needed for the argument that large-scale expansion would yield substantial mental health treatment cost offsets. Other gaps in evidence of policy impacts include take-up rate estimates, cost impact estimates from longer-term studies (exceeding two years), and longer-term studies of whether IPS-SE prevents younger clients from becoming recipients of Supplemental Security Income or Social Security Disability Insurance

Estimating causal effects in observational studies using Electronic Health Data: Challenges and (some) solutions.

Electronic health data sets, including electronic health records (EHR) and other administrative databases, are rich data sources that have the potential to help answer important questions about the effects of clinical interventions as well as policy changes. However, analyses using such data are almost always non-experimental, leading to concerns that those who receive a particular intervention are likely different from those who do not, in ways that may confound the effects of interest. This paper outlines the challenges in estimating causal effects using electronic health data, and offers some solutions, with particular attention paid to propensity score methods that help ensure comparisons between similar groups. The methods are illustrated with a case study describing the design of a study using Medicare and Medicaid administrative data to estimate the effect of the Medicare Part D prescription drug program among individuals with serious mental illness.

Level-I trauma center effects on return-to-work outcomes.

BACKGROUND: Injury is the leading cause of death for persons aged 1-44 years in the United States. Injuries have a substantial economic cost. For that reason, regional systems of trauma care in which the more acutely injured patients are transported to Level-I (L-I) trauma centers (TCs) has been widely advocated. However, the cost of TC care is high, raising questions about the value of such an approach. OBJECTIVES: To study L-I TC effectiveness and study return-to-work (RTW) outcomes. RESEARCH DESIGN: Using data from National Study on the Costs and Outcomes of Trauma, the authors address the issue of selection bias by comparing naive estimates to matching techniques, as well as to nonlinear instrumental variable models (2SRI) and bivariate probit estimators. SUBJECTS: Individuals ages 18-64 who were mainly working before traumatic injury. Patients selected for the study were treated at 69 hospitals located in 12 states in the United States. N = 1790. MEASURES: Treatment is binary indicator on whether treated at L-I TC. Outcome is binary indicator on whether returned to work within 3 months after injury. Covariates include: demographics, pre-injury characteristics (job, health and insurance status), injury descriptors, other income sources, etc. RESULTS: Across all models that control for unobserved factors, the authors find that L-I TC treatment is positively associated with RTW within 3 months after injury. The estimated average marginal effect of treatment on the probability of RTW ranges from 23 to 38 percentage points. CONCLUSIONS: Benefits of L-I TC care extend beyond mortality and morbidity.

Utilization and costs of health care after geriatric traumatic brain injury.

Despite the growing number of older adults experiencing traumatic brain injury (TBI), little information exists regarding their utilization and cost of health care services. Identifying patterns in the type of care received and determining their costs is an important first step toward understanding the return on investment and potential areas for improvement. We performed a health care utilization and cost analysis using the National Study on the Costs and Outcomes of Trauma (NSCOT) dataset. Subjects were persons 55-84 years of age with TBI treated in 69 U.S. hospitals located in 14 states (n=414, weighted n=1038). Health outcomes, health care utilization, and 1-year costs of care following TBI in 2005 U.S. dollars were estimated from hospital bills, patient surveys, medical records, and Medicare claims data. The subjects were further analyzed in three subgroups (55-64, 65-74, and 75-84 years of age). Unadjusted cost models were built, followed by a second set of models adjusting for demographic and pre-injury health status. Those in the oldest category (75-84 years) had significantly higher numbers of re-hospitalizations, home health care visits, and hours per week of unpaid care, and significantly lower numbers of physician and mental health professional visits than younger age groups (age 55-64 and 65-74 years). Significant age-related differences were seen in all health outcomes tested at 12 months post-injury except for incidence of depressive symptoms. One-year total treatment costs did not differ significantly across age categories for brain-injured older adults in either the unadjusted or adjusted models. The unadjusted total mean 1-year cost of care was $77,872 in persons aged 55-64 years, $76,903 in persons aged 65-74 years, and $72,733 in persons aged 75-84 years. There were significant differences in cost drivers among the age groups. In the unadjusted model index hospitalization costs and inpatient rehabilitation costs were significantly lower in the oldest age category, while outpatient care costs and nursing home stays were lower in the younger age categories. In the adjusted model, in addition to these cost drivers, re-hospitalization costs were significantly higher among those 75-84 years of age, and receipt of informal care from friends and family was significantly different, being lowest among those aged 65-74 years, and highest among those aged 75-84 years. Identifying variations in care that these patients are receiving and determining the costs versus benefits is an important next step in understanding potential areas for improvement.

Implications of Middle School Behavior Problems for High School Graduation and Employment Outcomes of Young Adults: Estimation of a Recursive Model.

The potentially serious adverse impacts of behavior problems during adolescence on employment outcomes in adulthood provide a key economic rationale for early intervention programs. However, the extent to which lower educational attainment accounts for the total impact of adolescent behavior problems on later employment remains unclear As an initial step in exploring this issue, we specify and estimate a recursive bivariate probit model that 1) relates middle school behavior problems to high school graduation and 2) models later employment in young adulthood as a function of these behavior problems and of high school graduation. Our model thus allows for both a direct effect of behavior problems on later employment as well as an indirect effect that operates via graduation from high school. Our empirical results, based on analysis of data from the NELS, suggest that the direct effects of externalizing behavior problems on later employment are not significant but that these problems have important indirect effects operating through high school graduation.

Patterns in admission delays to outpatient methadone treatment in the United States.

Waiting lists for methadone treatment have existed in many U.S. communities, but little is known nationally about what patient and service system factors are related to admission delays that stem from program capacity shortfalls. Using a combination of national data sources, this study examined patterns in capacity-related admission delays to outpatient methadone treatment in 40 U.S. metropolitan areas (N = 28,920). Patient characteristics associated with admission delays included racial/ethnic minority status, lower education, criminal justice referral, prior treatment experience, secondary cocaine or alcohol use, and co-occurring psychiatric problems. Injection drug users experienced fewer delays, as did self-pay patients and referrals from health care and addiction treatment providers. Higher community-level utilization of methadone treatment was associated with delay, whereas delays were less common in communities with higher utilization of alternative modalities. These findings highlight potential disparities in timely admission to outpatient methadone treatment. Implications for improving treatment access and service system monitoring are discussed.

The value of trauma center care.

BACKGROUND: The cost of trauma center care is high, raising questions about the value of a regionalized approach to trauma care. To address these concerns, we estimate 1-year and lifetime treatment costs and measure the cost-effectiveness of treatment at a Level I trauma center (TC) compared with a nontrauma center hospital (NTC). METHODS: Estimates of cost-effectiveness were derived using data on 5,043 major trauma patients enrolled in the National Study on Costs and Outcomes of Trauma, a prospective cohort study of severely injured adult patients cared for in 69 hospitals in 14 states. Data on costs were derived from multiple sources including claims data from the Centers for Medicare and Medicaid Services, UB92 hospital bills, and patient interviews. Cost-effectiveness was estimated as the ratio of the difference in costs (for treatment at a TC vs. NTC) divided by the difference in life years gained (and lives saved). We also measured cost-effectiveness per quality-adjusted life year gained where quality of life was measured using the SF-6D. We used inverse probability of treatment weighting to adjust for observable differences between patients treated at TCs and NTCs. RESULTS: The added cost for treatment at a TC versus NTC was $36,319 per life-year gained ($790,931 per life saved) and $36,961 per quality-adjusted life years gained. Cost-effectiveness was more favorable for patients with injuries of higher versus lower severity and for younger versus older patients. CONCLUSIONS: Our findings provide evidence that regionalization of trauma care is not only effective but also it is cost-effective.

One-year treatment costs of trauma care in the USA.

Although injuries are a leading cause of morbidity and mortality in the USA, few prior studies exist on the costs of trauma care. This article estimates treatment costs of care for 12 months following injury. Primary and secondary data were collected on over 5000 moderate-to-severely injured patients 18-84 years of age discharged from 69 US hospitals. Acute and post-acute costs of care were estimated from a combination of data sources: UB92 hospital bills, patient surveys, medical record abstracts, and where available, Medicare claims. Key analysis variables were demographic characteristics, insurance status and nature and severity of injury. Mean 1-year cost per patient of trauma care in our population was $75,210. On average, 58% of cost was accounted for by the index hospitalization. Total 1-year treatment cost of adult major trauma in the USA was conservatively estimated to be US$27 billion annually (2005).