Veterans statistics: PTSD, Depression, TBI, Suicide.

Reprinted From:
“Veterans statistics: PTSD, Depression, TBI, Suicide.” Veterans and PTSD. February 14, 2015. Web. [month, day, year accessed.] www.veteransandptsd.com/PTSD-statistics.html

Veterans statistics: PTSD, Depression, TBI, Suicide.

The following veterans statistics are from a major study done by the RAND Corporation (full pdf of study), a study by the Congressional Research Service, the Veterans Administration, the Institute of Medicine, the US Surgeon General, and several published studies.

PTSD statistics are a moving target that is fuzzy: do you look only at PTSD diagnosed within one year of return from battle? Do you only count PTSD that limits a soldier’s ability to go back into battle or remain employed, but that may have destroyed a marriage or wrecked a family? Do you look at the PTSD statistics for PTSD that comes up at any time in a person’s life: it is possible to have undiagnosed PTSD for 30 years and not realize it–possibly never or until you find a way to get better and then you realize there is another way to live. When you count the PTSD statistic of “what percentage of a population gets PTSD,” is your overall starting group combat veterans, veterans who served in the target country, or all military personnel for the duration of a war?

And veterans PTSD statistics get revised over time. The findings from the NVVR Study (National Vietnam Veterans’ Readjustment Study, in Four Volumes) commissioned by the government in the 1980s initially found that for “Vietnam theater veterans” 15% of men had PTSD at the time of the study and 30% of men had PTSD at some point in their life. But a 2003 re-analysis found that “contrary to the initial analysis of the NVVRS data, a large majority of Vietnam Veterans struggled with chronic PTSD symptoms, with four out of five reporting recent symptoms when interviewed 20-25 years after Vietnam.” (see also NVVR review)

There is a similar problem with suicide statistics. The DoD and their researchers tend to lose track of military personnel once they retire, and not all suicides will be counted as a military suicide (plus, is a person who drinks themselves to death committing suicide?). A recent study found U.S. veteran suicide rates to be as high as 8,000 a year. See suicide statistics (below and bottom of Suicide Prevention page).

Summary of Veterans Statistics for PTSD, TBI, Depression and Suicide.

    • As of September 2014, there are about 2.7 million American veterans of the Iraq and Afghanistan wars (compared to 2.6 million Vietnam veterans who fought in Vietnam; there are 8.2 million “Vietnam Era Veterans” (personnel who served anywhere during any time of the Vietnam War)
    • According to RAND, at least 20% of Iraq and Afghanistan veterans have PTSD and/or Depression. (Military counselors I have interviewed state that, in their opinion, the percentage of veterans with PTSD is much higher; the number climbs higher when combined with TBI.)
      Other accepted studies have found a PTSD prevalence of 14%; see a complete review of PTSD prevalence studies, which quotes studies with findings ranging from 4 -17% of Iraq War veterans with post-traumatic stress disorder).
      A comprehensive analysis, published in 2014, found that for PTSD: “Among male and female soldiers aged 18 years or older returning from Iraq and Afghanistan, rates range from 9% shortly after returning from deployment to 31% a year after deployment. A review of 29 studies that evaluated rates of PTSD in those who served in Iraq and Afghanistan found prevalence rates of adult men and women previously deployed ranging from 5% to 20% for those who do not seek treatment, and around 50% for those who do seek treatment. Vietnam veterans also report high lifetime rates of PTSD ranging from 10% to 31%. PTSD is the third most prevalent psychiatric diagnosis among veterans using the Veterans Affairs (VA) hospitals.”PTSD and comorbid AUD”, Subst Abuse Rehabil. 2014; 5: 25–36, Ralevski, et al.
    • 50% of those with PTSD do not seek treatment
    • out of the half that seek treatment, only half of them get “minimally adequate” treatment (RAND study)
    • 19% of veterans may have traumatic brain injury (TBI)
    • Over 260,000 veterans from OIF and OEF so far have been diagnosed with TBI. Traumatic brain injury is much more common in the general population than  previously thought: according to the CDC, over 1,700,000 Americans have a traumatic brain injury each year; in Canada 20% of teens had TBI resulting in hospital admission or that involved over 5 minutes of unconsciousness (VA surgeon reporting in BBC News)
    • 7% of veterans have both post-traumatic stress disorder and traumatic brain injury
    • rates of post-traumatic stress are greater for these wars than prior conflicts
    • in times of peace, in any given year, about 4% (actually 3.6%) of the general population have PTSD (caused by natural disasters, car accidents, abuse, etc.)
    • recent statistical studies show that rates of veteran suicide are much higher than previously thought, as much as five to eight thousand a year (22 a day, up from a low of 18-a-year in 2007, based on a 2012 VA Suicide Data Report). (See suicide prevention page). Contrary to the impression many media articles give, veteran suicide rates, although definitely higher, are not astronomically higher than civilian rates. See New York Times 2013 article, “As Suicides Rise in US, Veterans are Less of total,” by James Dao.
    • PTSD distribution between services for OND, OIF, and OEF: Army 67% of cases, Air Force 9%, Navy 11%, and Marines 13%. (Congressional Research Service, Sept. 2010)
    • recent sample of 600 veterans from Iraq and Afghanistan found: 14% post-traumatic stress disorder; 39% alcohol abuse; 3% drug abuse. Major depression also a problem. “Mental and Physical Health Status and Alcohol and Drug Use Following Return From Deployment to Iraq or Afghanistan.” Susan V. Eisen, PhD
    • Oddly, statistics for veteran tobacco use are never reported alongside PTSD statistics, even though increases in rates of smoking are strongly correlated with the stress of deployment and combat, and smoking statistics show that tobacco use is tremendously damaging and costly for soldiers.
    • More active duty personnel die by own hand than combat in 2012 (New York Times)

Other veterans PTSD statistics references and resources:

The HUD-VASH Program

Reprinted from JAMA Psychiatry http://archpsyc.jamanetwork.com/article.aspx?articleid=207801

 

THE HUD-VASH PROGRAM

Through an interagency agreement, HUD allocated funds for approximately 1000 housing vouchers for a program providing housing and case management assistance for literally homeless veterans with psychiatric or substance abuse problems or both.20 Participants were offered priority access to Section 8 housing vouchers administered by local housing authorities. These vouchers authorize payment of a standardized local fair-market rent (established by HUD using surveys of local rents) less 30% of the individual beneficiary’s income.

Professional staff of the VA’s Health Care for Homeless Veterans (HCHV) program,21 to which each experimental HUD-VASH program was linked, identified potential candidates for the program. To participate in the study, each veteran had to agree to a treatment plan involving further participation in case management and other specified services if randomized to either HUD-VASH or case management only. However, once assigned, retention of the voucher was not contingent on participation in treatment.

The case managers linked clients with the local housing authority and facilitated administrative access and use of the voucher. Case managers also eased the transition to independent living by helping clients (1) locate an apartment, (2) negotiate the lease (through face-to-face landlord meetings if the client wished), and (3) furnish and move into their new apartment. The case management model used in HUD-VASH was modified from the Assertive Community Treatment (ACT) model22 and encouraged at least weekly face-to-face contact, community-based service delivery, and more intensive involvement in crisis situations. Case managers, most of whom were experienced social workers and nurses, were also encouraged to provide substance abuse and employment counseling and to facilitate linkage with other VA services. Teams in this study consisted of 3 case managers and an allocation of 50 vouchers, allowing maximal caseloads of 25:1, including 25 case management– only clients. Training and monitoring were conducted with written materials and through conference calls, case reviews, and evaluation forms. There were no on-site monitoring visits.
STUDY DESIGN AND DATA COLLECTION

Eligibility was determined from administrative intake forms documenting housing and clinical status at the time of the initial outreach assessment by the HCHV program.21 After providing written informed consent and completing baseline assessments, 460 veterans were randomly assigned through a telephone call to the central evaluation staff, who identified the next assignment from a deck of cards specific to each site. Veterans were assigned to (1) HUD-VASH (case management plus vouchers) (n = 182), (2) case management only (n = 90), or (3) standard care (n = 188), which consisted of short-term broker case management as provided by HCHV program outreach workers. The randomization was weighted so that half as many veterans were assigned to case management alone as to the other 2 groups. In the case management– only condition, case managers were to provide the same intensity of services as in the HUD-VASH condition and were encouraged to use whatever housing resources could be obtained for their clients. Neither veterans nor staff could be masked to group assignment.

Baseline and follow-up assessment interviews every 3 months were conducted by trained evaluation assistants. The VASH clinicians used (1) structured forms to document their efforts to assist their clients in obtaining their vouchers and apartments and (2) quarterly structured summaries of case management services.
PARTICIPANTS

The study took place at VA medical centers in San Francisco, Calif (n= 107); San Diego, Calif (n = 91); New Orleans, La (n = 165); and Cleveland, Ohio (n = 97). Veterans were eligible if they were literally homeless at the time of outreach assessment (ie, living in a homeless shelter or on the streets), had been homeless for 1 month or longer, and had received a diagnosis of a major psychiatric disorder (schizophrenia, bipolar disorder, major affective disorder, or posttraumatic stress disorder) or an alcohol or drug abuse disorder or both.

All veterans provided written informed consent to participate in the study, and the protocol was approved by the human investigations committee at each medical center. Veterans received $20 after each interview.

Recruitment for the study took place between June 1, 1992, and December 31, 1995. During this time, 3489 veterans contacted through outreach at the 4 sites met minimal eligibility criteria, and 460 (13.2%) gave written informed consent to participate in the study. The major reason most veterans did not participate was limited program capacity.

Comprehensive intake data from all HCHV program participants allow detailed comparison of participants and nonparticipants. Compared with other eligible veterans, those who joined the study were slightly younger (42.0 vs 42.8 years, t = 2.2637; P<.03), were more likely to be female (4.2% vs 1.8%, χ21 =11.3; P<.001), were more likely to be African American (64% vs 57%, χ21 = 7.1; P<.008), and had slightly fewer nights of literal homelessness in the 60 days before intake (26.1 vs 27.1 nights, t =2.8; P<.01), but they had a greater likelihood of past hospitalization for drug abuse (49.8% vs 39.5%, χ21 = 17.3; P<.001). They were more likely to have been admitted to the residential treatment component of the HCHV program(29.1% vs 10.9%, χ21 = 119.7; P<.001). Participants thus showed evidence of more severe illness on some measures and greater involvement in treatment.
MEASURES
Demographic and Clinical Characteristics

Data were obtained on current sociodemographic characteristics, duration of the current episode of homelessness, and housing status during the 90 days before each interview. We recorded the number of days in the previous 90 that the client spent in each of 11 different types of housing. The primary outcome measures were the number of days housed in the previous 90 (ie, sleeping in an apartment, room, or house of one’s own or of a family member or friend) and the number of days homeless in the previous 90 (ie, sleeping in an emergency shelter; a substandard, single-room occupancy hotel; or outdoors, on the sidewalk, or in a park, abandoned building, automobile, truck, or boat).

Psychiatric, alcohol, and drug problems were assessed using specific items and composite scores from the Addiction Severity Index.23 Psychological distress was measured using the Brief Symptom Index.24 Diagnoses were based on the working clinical diagnoses of the case management teams. Quality of life was evaluated using selected subscales from the Lehman Quality of Life Interview.25

Among those who were housed, the quality of their residence was further assessed using one scale that addressed positive characteristics of the residence (eg, safety, proximity to shopping, affordability, adequate size, and privacy) and another that measured housing problems (eg, pests, broken windows, neighborhood crime, and plumbing problems).26

Social support was measured by the number of people in 9 different categories to whom the veteran reported feeling close, an index of the total frequency of contacts with these people, and the average number of types of people who would help with a loan, with transportation, or in an emotional crisis.27,28
Treatment Process

Five kinds of indicators were used to compare services provided to each treatment group during the study. First, computerized VA workload data were used to measure contacts with the HUD-VASH or HCHV programs. Second, the nature of the therapeutic alliance was measured by a 5-item rating scale completed separately by the clinician (Cronbach α = .85) and the veteran (Cronbach α= .86) using a modified version of the Working Alliance Inventory.29,30 Veterans’ assessments of their alliance with their case managers were self-administered in private and mailed in a separate envelope. Third, data were obtained on the use of Section 8 housing vouchers in all 3 groups and on the initial housing search for those assigned to the HUD-VASH group using a structured activities questionnaire. Fourth, data from the quarterly case manager summaries were used to compare case management services provided to each group. Finally, we measured use of regular VA mental health outpatient services (ie, beyond those from HUD-VASH or HCHV program staff).
ASSESSMENT OF HEALTH CARE COSTS

The VA health care costs were estimated by multiplying the number of units of service consumed by each patient by the estimated unit cost of each type of service using VA cost data from fiscal year 1996 and methods developed previously.31 Unit costs of the HUD-VASH case management were estimated separately using more detailed data on program expenditures and services delivered during a sample year (1996) when the program was fully operational.32
Service Utilization

The VA health service utilization data were derived from the VA’s comprehensive national workload data systems: the Patient Treatment File for inpatient care, the Outpatient Care File for outpatient care, and program monitoring data on the delivery of residential treatment through VA contracts with community agencies.
VA Unit Costs

Unit costs for VA inpatient, residential care, and outpatient treatment were estimated on the basis of data from the VA’s Cost Distribution Report, which is a facility-by-facility accounting record that identifies total expenditures and unit costs associated with VA inpatient and outpatient health care services nationwide.31
Non-VA Health Costs

Utilization of non-VA services was documented through quarterly patient interviews, during which was recorded the use of non-VA medical and mental health inpatient, residential, and nursing home care; non-VA medical-surgical outpatient care; and non-VA mental health outpatient care. Non-VA unit costs were estimated from several sources, including analysis of costs in the 1998 MarketScan (The Medstat Group, Ann Arbor, Mich) data set33 and published studies34,35 that identify unit costs in large non-VA health care systems.
NON–HEALTH CARE COSTS

Non–health care costs were also evaluated and used to estimate costs from the perspective of governmental agencies or taxpayers and of society as a whole (total resource consumption). Interview data documented the number of days spent in shelter beds or in jail or prison, cash transfer payments (eg, VA benefits, Supplemental Security Income, and Social Security disability), earnings, and the cost of the Section 8 vouchers. Although cash transfer payments (including housing subsidies) were included in the evaluation of costs from the perspective of governmental agencies, only the administrative cost of these payments was included in societal cost estimates.36 Productivity (employment earnings) was also included in the societal cost estimate, as a negative cost.

Per diem estimates of the cost of shelter and jail days were based on published literature.19 The administrative cost of the Section 8 vouchers were estimated by multiplying the number of months each veteran received a Section 8 subsidy during 3-year follow-up by HUD’s estimated monthly administrative cost for the Section 8 program at each locality.37 The value of housing subsidies received by program participants was calculated by subtracting 30% of monthly income from reported monthly rent among clients who identified themselves as Section 8 beneficiaries. This figure was only included in the cost estimate from the perspective of the government.
ANALYSIS

First, we evaluated the effectiveness of the randomization by comparing baseline characteristics of clients randomly assigned to each of the 3 groups. Next, we compared housing procurement processes and delivery of case management services across the 3 groups to determine whether the intended differences in access to housing subsidies and case management were achieved.

Third, housing and clinical outcomes across the groups were compared. The follow-up periods selected for analysis were baseline and 6, 12, 18, 24, and 36 months, and all interviews conducted during each interval were included. Because we planned to compare the groups during 5 intervals after the baseline assessment, we used a repeated-measures with mixed-effects analytic strategy. This method was chosen to allow use of all available data from each participant during each follow-up interval. Using hierarchical linear modeling, we modeled random effects for each participant to adjust standard errors for the nonindependence of observations within participants.38 The repeated-measures mixed-effects model approach was chosen because it allows(1) comparison of each experimental group (HUD-VASH and case management only) with the standard care group at each specific point and (2) comparison of groups averaged across all points (ie, area under the curve). These analyses were conducted using PROC MIXED of SAS version 8.0 (SAS Institute Inc, Cary, NC), with α<.05.
Differential Follow-up Rates

Comparison across groups showed significant differences in follow-up rates within each assessment period from the 6-month assessment (χ22 = 10.3; P<.006) through the 3-year assessment (χ22 = 55.1; P<.001), with higher follow-up rates in the voucher plus case management group (146 [80%], 153 [84%], 142 [78%], 140 [77%], and 127 participants [70%] at 6 months and 1, 1.5, 2, and 3 years, respectively) than in the case management– only group (59 [66%], 62 [69%], 66 [73%], 55 [61%], and 43 participants [48%]); follow-up rates were even lower in the standard care group (126 [67%], 113[60%], 111 [59%], 92 [49%], and 75 participants [40%]). Two strategies were used to address the potential bias from data loss. First, patients actually followed up at each point were compared on baseline characteristics, and measures for which significant differences were identified were included as covariates in subsequent analyses.

Second, marginal structural modeling was used to inversely weight observations from patients on the basis of their likelihood of being followed up.39,40 In this approach, survival analysis is first used to model the likelihood that each observation for each participant will be available for analysis. The predicted probabilities are then used to inversely weight each observation so that available observations from clients with characteristics similar to those who were not followed up are given a greater weight. Since the results did not differ substantially across these analytic strategies, we present data from the analysis that adjusted for baseline measures that were significantly different among interviewed groups at any point and dichotomous dummy codes representing 3 of the 4 sites.
Cost-effectiveness

Incremental cost-effectiveness ratios were used to compare the cost-effectiveness of each of the experimental conditions with standard care41 from each of 4 cost perspectives: the VA, the total health care system (VA and non-VA), the government (or taxpayers), and society as a whole. The incremental cost-effectiveness ratio is the ratio of the difference between groups in costs to the difference in effectiveness. The 95% confidence interval (CI) of the combined incremental cost-effectiveness ratio was computed using the methods described by O’Brien et al.42 In addition, cost-effectiveness acceptability curves were constructed using recently published methods43 for analyzing net benefits44 in which the probability that benefits equal costs is plotted across a range of possible shadow prices for a day of independent housing.

These analyses require complete data for all participants during 3-year follow-up. Although complete data were available for VA health costs, some data were missing on housing outcomes and non-VA resource use. We used multiple regression models to impute missing data. First, a series of models were estimated in which housing outcomes or service use were the dependent variables and measures of baseline clinical status and dichotomous dummy-coded variables representing treatment group and time interval were the independent variables. These models were then used to generate estimated values of these dependent variables for each client at each point, which were used to impute missing data.

To examine longitudinal time trends in costs, we conducted a series of analyses of variance comparing VA health care costs among groups at 6-month intervals from the year before randomization to 3 years after. We used VA costs for longitudinal analysis because no data are missing and they account for 77% of all health costs (range, 73%-82% across groups).

Cost-effectiveness of Supported Housing for Homeless Persons With Mental Illness

 Reprinted from JAMA Psychiatry  http://archpsyc.jamanetwork.com/article.aspx?articleid=207801

Background  Supported housing, integrating clinical and housing services, is a widely advocated intervention for homeless people with mental illness. In 1992, the US Department of Housing and Urban Development (HUD) and the US Department of Veterans Affairs (VA) established the HUD-VA Supported Housing (HUD-VASH) program.

Methods  Homeless veterans with psychiatric and/or substance abuse disorders or both (N = 460) were randomly assigned to 1 of 3 groups: (1) HUD-VASH, with Section 8 vouchers (rent subsidies) and intensive case management (n = 182);(2) case management only, without special access to Section 8 vouchers (n= 90); and (3) standard VA care (n = 188) Primary outcomes were days housed and days homeless. Secondary outcomes were mental health status, community adjustment, and costs from 4 perspectives.

Results  During a 3-year follow-up, HUD-VASH veterans had 16% more days housed than the case management– only group and 25% more days housed than the standard care group (P<.001 for both). The case management– only group had only 7% more days housed than the standard care group (P = .29). The HUD-VASH group also experienced 35% and 36% fewer days homeless than each of the control groups (P<.005 for both). There were no significant differences on any measures of psychiatric or substance abuse status or community adjustment, although HUD-VASH clients had larger social networks. From the societal perspective, HUD-VASH was $6200 (15%) more costly than standard care. Incremental cost-effectiveness ratios suggest that HUD-VASH cost $45 more than standard care for each additional day housed (95% confidence interval, $−19 to $108).

Conclusions  Supported housing for homeless people with mental illness results in superior housing outcomes than intensive case management alone or standard care and modestly increases societal costs.

DELIVERY OF effective services to homeless people with serious psychiatric or addictive disorders or both has been difficult, in part, because of their need for assistance from diverse agencies and the difficulty of integrating services at the interorganizational level.1 A recent 18-site demonstration project2 found that extensive and well-funded efforts to promote integration of service delivery across dozens of agencies by implementing global, systemwide integration strategies did not result in improved access to services or better client outcomes. In contrast, a more focused, agency-specific approach, in which pairs of agencies map out specific ways of coordinating their efforts, increased access of homeless veterans to social security benefits3 and improved their quality of life.4

Clinical services for this population have included (1) community outreach,5 (2) case management,6– 8 and(3) housing assistance involving either time-limited halfway house treatment9,10 or longer-term mainstream community housing with support.11,12 Recently, experimental studies6– 14 have demonstrated superior outcomes for diverse interventions, typically described as supported housing programs in which case management and housing resources are combined, with benefits more often demonstrated for housing outcomes than for clinical status.15 Although no paradigmatic standards for this approach have emerged, it received a strong endorsement from the congressionally appointed Bipartisan Millennial Housing Commission.16(p49)

An important unanswered question is whether setting aside housing resources is either necessary or sufficient for facilitating exit from homelessness in this population. On the one hand, provision of intensive clinical services may result in receipt of sufficient access to health care, income support, or rehabilitation services to facilitate exit from homelessness without formal linkage to housing subsidies. On the other hand, even when given priority access to housing subsidies, people with serious behavioral disorders may not be able to take advantage of them.

Only one experimental study12,17 has attempted to disentangle the effect of housing subsidies and intensive case management for this population. That study used a 2 × 2 study design, crossing rent subsidies with intensive case management, and reported that clients who received rent subsidies were more likely to be independently housed after 18 months but that intensive case management was not associated with greater improvement than standard case management in any outcome domain. However, these findings are ambiguous because (1) receipt of housing subsidies did not reduce nights of homelessness and (2) the intensive case management intervention as actually delivered was not dissimilar from the standard care intervention. Access to housing subsidies did not reduce homelessness.

Supported housing services can be costly.18 However, a recent study19 that assessed the costs for clients placed in the New York–New York (NY/NY) supported housing initiative and a matched control group found substantially greater reductions in hospital use among NY/NY clients than controls, offsetting almost the entire $19 000 annual program cost. In the absence of random assignment, however, it is possible that these savings reflected unmeasured (and unmatched) client characteristics rather than placement in NY/NY housing.

To evaluate the cost-effectiveness of an agency-specific approach to the integration of clinical and housing services, we conducted an experimental evaluation of a joint program of the US Department of Housing and Urban Development (HUD) and the US Department of Veterans Affairs (VA)—the HUD-VA Supported Housing (HUD-VASH) program—in which HUD Section 8 housing vouchers were paired with intensive case management services provided by VA clinicians.

In a 3-year prospective experimental study, we compared outcomes and societal costs among clients randomly assigned to (1) HUD-VASH, (2) intensive case management without special access to Section 8 vouchers, or (3) standard VA homeless services.17 We hypothesized that case management combined with housing subsidies in HUD-VASH would result in better housing, mental health, and social adjustment outcomes than either control condition and that intensive case management, in turn, would result in better outcomes than standard care. We further hypothesized that HUD-VASH would generate sufficient savings in hospital, halfway house, criminal justice, and emergency shelter costs to offset the additional costs of intensive case management services but that case management alone would be almost as expensive as HUD-VASH but less effective.