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JRRDJRRD Volume 51, Number 3, 2014Pages 401–414
Receipt of employment services among Veterans Health
Administration
users with psychiatric diagnoses
Kristen M. Abraham, PhD;1–3* Dara Ganoczy, MPH;4 Matheos
Yosef, PhD;2 Sandra G. Resnick, PhD;5–
Kara Zivin, PhD2,4,7
1Department of Psychology, University of Detroit Mercy,
Detroit, MI; 2Department of Psychiatry, University of Michi-
gan Medical School, Ann Arbor, MI; 3Department of Veterans
Affairs (VA) Serious Mental Illness Treatment Resource
and Evaluation Center, Ann Arbor, MI; 4VA Center for Clinical
Management Research, Ann Arbor, MI; 5Department of
Psychiatry, Yale University School of Medicine, New Haven,
CT; 6VA New England Mental Illness Research, Educa-
tion, and Clinical Center, West Haven, CT; 7Department of
Health Management and Policy, School of Public Health;
and Institute for Social Research, University of Michigan, Ann
Arbor, MI
Abstract—This study examined the population-based reach of
Veterans Health Administration (VHA) employment services
to VHA patients with psychiatric diagnoses. Reach of services
includes the percentage and characteristics of people who
accessed services compared with those who did not. Using
clinical administrative data, we identified patients with a psy-
chiatric diagnosis among a random sample of all patients who
received VHA services in 1 yr. Among VHA patients with psy-
chiatric diagnoses, we examined their likelihood of receiving
any VHA employment services and specific types of employ-
ment services, including supported employment, transitional
work, incentive therapy, and vocational assistance. We identi-
fied clinical and demographic characteristics associated with
receiving employment services. Results indicated that 4.2% of
VHA patients with a psychiatric diagnosis received employ-
ment services. After adjusting for clinical and demographic
characteristics, VHA patients with schizophrenia and bipolar
disorder were more likely to receive any employment services
and to receive supported employment than were patients with
depression, PTSD, or other anxiety disorders. VHA patients
with depression and PTSD were more likely to receive transi-
tional work and vocational assistance than patients with
schizophrenia. Future studies should examine system-level
barriers to receiving employment services and identify types of
employment services most appropriate for Veterans with dif-
ferent psychiatric diagnoses.
Key words: access, anxiety disorders, bipolar disorder
employment services, depression, mental illness, psychiatric
diagnosis, PTSD, schizophrenia, supported employment, tran-
sitional work, veterans, vocational rehabilitation.
INTRODUCTION
It is well known that people with severe mental ill-
nesses, such as schizophrenia and bipolar disorder, face
Abbreviations: FY = fiscal year, ICD = International Classifi-
cation of Diseases, IT = incentive therapy, OIF/OEF/OND =
Operation Iraqi Freedom/Operation Enduring Freedom/Opera-
tion New Dawn, PTSD = posttraumatic stress disorder, SE =
supported employment, TSES = Therapeutic and Supported
Employment Services, TW = transitional work, VA = Depart-
ment of Veterans Affairs, VHA = Veterans Health Administra-
tion, Voc Assist = vocational assistance.
*Address all correspondence to Kristen M. Abraham, PhD;
University of Detroit Mercy, Department of Psychology,
4001 W McNichols Rd, Detroit, MI 48221-0445; 313-578-
0445; fax: 313-578-0507. Email: [email protected],
[email protected]
http://dx.doi.org/10.1682/JRRD.2013.05.0114
402
JRRD, Volume 51, Number 3, 2014
unemployment rates far higher than the general popula-
tion [1–2], despite the fact that a majority of these indi-
viduals report a desire to work [3]. Although people with
depressive disorders are not always classified as having a
“severe” mental illness, population-based studies suggest
that they, too, have lower rates of employment than peo-
ple without a mood disorder [4]. Moreover, a range of
psychiatric disorders is associated with days of work lost
[5]. Similarly, a large representative study of working-
aged (18–64 yr old) Veterans Health Administration
(VHA) patients recently found that those with psychiatric
diagnoses of schizophrenia, bipolar disorder, posttrau-
matic stress disorder (PTSD), depression, or a substance
use disorder were more likely to be unemployed, dis-
abled, or retired than patients without psychiatric diagno-
ses [6]. These findings are particularly striking because,
on average, VHA patients are already less likely to be
employed than the general population [6].
For people with psychiatric diagnoses, employment
is known to be a meaningful indicator of functioning in
that it allows access to a valued social role [7] and a sense
of meaning and recovery [8]. Additionally, a recent anal-
ysis found that having a working-aged member of a
household with severe mental illness is associated with a
3.10 increase in the odds of household poverty [9]. While
the presence of a working-aged adult with severe mental
illness and an unemployed head of household were each
uniquely associated with increased likelihood of house-
hold poverty, the combination of having a working-aged
person with severe mental illness and an unemployed
head of household was associated with an even higher
likelihood and greater depth of poverty [9]. Hence,
employment is critical to improving the economic situa-
tion of people with severe mental illness.
Supported Employment Services
Facilitating opportunities for employment has long
been considered a relevant aspect of providing mental
health treatment to Veterans with psychiatric diagnoses
[10]. Currently, the VHA provides vocational rehabilita-
tive services through the Therapeutic and Supported
Employment Services (TSES) program to help Veterans
with psychiatric diagnoses obtain employment and expe-
rience the therapeutic effects of work. TSES includes
four primary types of vocational rehabilitative services:
supported employment (SE), transitional work (TW),
incentive therapy (IT), and vocational assistance (Voc
Assist) [11].
SE utilizes an individualized approach to working
with people to help them obtain competitive employment
in a job of their choosing in the community [11]. Two
meta-analyses of randomized controlled trials indicate
that SE helps persons with serious mental illness obtain
competitive employment [12–13]; thus, it is considered
the gold standard evidence-based practice for improving
employment outcomes among people with serious mental
illness. By definition, SE is provided in community
rather than clinical settings and includes having an
employment specialist provide assistance identifying and
obtaining jobs that are matched to the Veteran’s interests
and abilities, identifying and addressing challenges to
employment, and providing ongoing support while seek-
ing employment and while employed to the extent
desired by the Veteran.
TW is a program in which Veterans gain work expe-
rience through time-limited positions in actual work set-
tings in the community or at VHA medical centers. Per
VHA policy, work settings include, but are not limited to,
the following: housekeeping, grounds maintenance, and
clerical duties involving nonsensitive patient informa-
tion. The goal of TW is to prepare participants to suc-
cessfully transition into competitive employment. In
contrast, IT is a prevocational work program in which
Veterans perform work at VHA medical centers. The pri-
mary goal of IT is to provide veterans with severe dis-
abilities with opportunities to develop work skills, though
competitive employment is not the goal of this service
[11]. Voc Assist provides more general employment
assistance in group and individual sessions and does not
necessarily follow a particular model of vocational reha-
bilitation, but may include assessment, guidance, and
counseling.
Population-
Services
VHA provides comprehensive ongoing monitoring
of Veterans’ utilization of employment services and the
immediate outcomes of such services [14]. However, less
is known about the extent to which the overall population
of VHA users with psychiatric diagnoses accesses VHA
employment services. The reach of a program or practice
is considered one of five dimensions necessary for
assessing the population-based impact of an intervention
403
ABRAHAM et al. Psychiatric diagnoses and employment
services
(see Reach Effectiveness Adoption Implementation
Maintenance framework [15]). It has been argued that an
examination of program reach is particularly important in
addressing areas of health disparities because it can iden-
tify whether people who most need the program receive it
[16]. Considering the low rates of employment among
Veterans with psychiatric diagnoses relative to the gen-
eral population (which perhaps could be called an
employment disparity), an investigation that addresses
the extent to which VHA employment services reach the
population of VHA users with psychiatric diagnoses is an
important area of inquiry.
Prior analyses identified the number of Veterans who
participated in employment services relative to the total
number of VHA users with psychiatric diagnoses in fis-
cal year (FY) 2009 and found that only 3.5 percent of
Veterans with a psychiatric diagnosis received employ-
ment services [17–19]. Although it cannot be assumed
that all Veterans with psychiatric diagnoses who use the
VHA have a need for employment services, a recent
independent multimethod evaluation suggested a sub-
stantial unmet need for employment services among
VHA users with psychiatric diagnoses. Specifically,
among a representative sample of Veterans with psychiat-
ric diagnoses who were interviewed between November
2008 and August 2009, 10.5 percent reported needing
assistance finding a job in the past year, of whom more
than 70 percent reported they did not receive any
employment services [20]. Moreover, in a review of med-
ical records of Veterans who had an employment need
documented during a new treatment episode during
FY2007, only 28 percent were offered employment ser-
vices [21]. The medical record review did not assess the
extent to which employment services were offered to
Veterans who expressed employment needs during a visit
that was not considered a new treatment episode, but,
nonetheless, this suggests unmet employment needs.
Importantly, a thorough evaluation of the population-
based reach of an intervention includes identifying the
characteristics of people who receive a given interven-
tion, as compared with those who do not [15]. To date,
little work has focused on what demographic or clinical
characteristics may be associated with receipt of VHA
employment services. However, in terms of self-reported
need for employment services, a recent evaluation found
that Veterans with bipolar disorder were most likely to
report needing help finding a job, whereas Veterans with
PTSD were the least likely to report needing such assis-
tance [20]. Another factor found to be related to employ-
ment outcomes and degree of participation in
employment services among Veterans is whether they
receive income for a service-connected condition [22]. A
recent analysis found that a service-connected disability
of 50 percent or greater, in particular, was associated with
lower likelihood of employment [23]. Particular levels of
service-connected disability status may also be associ-
ated with receipt of employment services. In sum, under-
standing the population-based reach of the TSES
program requires an evaluation of what percentage of
VHA users with psychiatric diagnoses accesses different
employment programs and whether particular clinical
and demographic factors are associated with receiving
TSES services.
Present Evaluation
We sought to assess the reach of TSES services in a
single year by examining the percentage of VHA users
with psychiatric diagnoses who accessed employment
services and to identify demographic and clinical charac-
teristics associated with accessing such services. Addi-
tionally, among VHA users with psychiatric diagnoses
who accessed employment services, we sought to iden-
tify demographic and clinical characteristics associated
with accessing specific types of employment services
(i.e., SE, TW, IT, Voc Assist).
METHODS
We employed a cross-sectional design to identify
VHA users with psychiatric diagnoses who accessed
employment services during FY2010. VHA administra-
tive data were used to select a 5 percent random sample
of all VHA users who received services during FY2010
(n = 277,159). This random sample of VHA service users
is maintained by the VHA Serious Mental Illness Treat-
ment Resource and Evaluation Center.
Sample Selection
To address our research questions, we selected from
the random sample only VHA users with a psychiatric
diagnosis of schizophrenia (International Classification
of Diseases [ICD] code 295.0–295.4, 295.6–295.9), bipo-
lar disorder (ICD 296.0–296.1, 296.4–296.8), depression
(ICD 293.83, 296.2, 296.3, 296.90, 296.99, 298.0, 300.4,
301.12, 309.0, 309.1, 311), PTSD (ICD 309.81), or another
404
JRRD, Volume 51, Number 3, 2014
anxiety disorder (ICD 300.00–300.02, 300.09–300.10,
300.20–300.23, 300.29). To be consistent with a recent
evaluation of VHA mental health services, including some
employment services [20–21,24], we did not use sub-
stance use disorders as primary independent variables.
VHA users were considered to have a specific psychiatric
diagnosis if they were assigned a diagnosis in the same
category during one inpatient visit or two outpatient vis-
its during FY2010. Prior research supports this method of
using VHA administrative data to ascertain psychiatric
diagnosis [25], particularly when the presence of two of
the same diagnoses in administrative data [26] are used to
determine diagnosis. Within the random sample, 52,542
of the VHA users (19%) had at least one of the aforemen-
tioned psychiatric diagnoses.
Dependent Variables
Since we were interested in ascertaining whether a
VHA user had accessed any employment service, the pri-
mary dependent variable was defined as one or more of
any of the following TSES visits during FY2010 per
VHA inpatient encounters and outpatient administrative
data: SE, TW, IT, and Voc Assist. Employment services
visits were dichotomized to indicate any utilization of
employment services (yes/no).
For additional analyses, the dependent measure was
the type of employment services accessed. Of the VHA
users who did have at least one employment services
visit, 73.1 percent received only one type of employment
service and 21.3 percent received two types of employ-
ment services, while a smaller percentage received three
(5.33%) or four (0.23%) types of employment services.
VHA users with FY2010 visits in more than one of the
four employment services categories were coded into
mutually exclusive categories based on the following
hierarchy: SE, TW, IT, Voc Assist (represented by admin-
istrative data stop code numbers 568, 574, 573, and 575
and/or 535, respectively). The mutually exclusive hierar-
chy was designed to (1) reflect a continuum of the type of
employment service most focused on competitive
employment and with the largest evidence base (i.e., SE)
[27] through type of employment service that is most
sheltered and does not focus on competitive employment
(i.e., IT) and (2) capture VHA users who received only
Voc Assist and no other employment services. Prior
research has used a similar hierarchy to classify type of
employment services received [25]. In analyses compar-
ing the type of employment services used, the employ-
ment service variable was dummy-coded with TW
serving as the reference group, because this is the type of
employment service most commonly received [14].
Independent Variables
Demographic and clinical characteristics were ascer-
tained from VHA administrative data. Primary indepen-
dent variables were the aforementioned psychiatric
diagnoses. Similar to previously used methods [28],
VHA users with more than one type of psychiatric diag-
nosis in FY2010 were coded into mutually exclusive
diagnostic categories in the following hierarchy based on
severity: schizophrenias, bipolar disorders, PTSD,
depressive disorders, and other anxiety disorders. For
adjusted analyses, psychiatric diagnosis was dummy-
coded such that schizophrenia served as the reference
group, because it is often considered the most severe of
psychiatric diagnoses.
Additional independent variables included demo-
graphic factors of age (under 45 yr, 45–64 yr, 65 yr and
over), race (white, black, other, unknown), ethnicity
(non-Hispanic, Hispanic, unknown), sex (male, female),
and marital status (married, not married/divorced/
unknown) and the clinical variable of a substance use dis-
order diagnosis (ICD diagnoses 291, 292, 303.0, 303.9,
304, 305.0, 305.2–305.9 excluding .x3) during FY2010
(yes/no). Homelessness status (yes/no) was ascertained
by the receipt of a VHA homelessness service or the
presence of a diagnostic indicator of homelessness during
FY2010. Service-connected status (50% or greater, 0%–
50%, no) was defined by the presence of a disability
deemed to be associated with military service. Operation
Iraqi Freedom/Operation Enduring Freedom/Operation
New Dawn (OIF/OEF/OND) Veteran status (yes/no) was
determined using the OIF/OEF/OND roster, a database of
Veterans who have been involved in the OIF/OEF/OND
mission.
Statistical Analyses
First, descriptive analyses were conducted to deter-
mine the percentage of VHA users with any psychiatric
diagnosis that received employment services. Next,
bivariate analyses (i.e., chi-square tests) were used to
examine the association between demographic and clini-
cal characteristics and the receipt of employment ser-
vices. Finally, a multivariable logistic regression model
and a multivariate multinomial logistic regression model
each examined the likelihood of receipt of employment
405
ABRAHAM et al. Psychiatric diagnoses and employment
services
services and receipt of specific types of employment
services, respectively, based on clinical and demographic
factors while controlling for the effect of other variables.
These analyses were conducted using SAS 9.3 (SAS
Institute Inc; Cary, North Carolina).
In addition to identifying the likelihood of receipt of
employment services, we were interested in understand-
ing the predicted probability (i.e., percentage) of VHA
users with particular psychiatric diagnoses who received
employment services. Thus, in the multivariable models,
we employed a “recycled predictions” method that calcu-
lates the mean predicted probability of the outcome vari-
able (i.e., receipt of employment services; receipt of
specific employment services) based on the coefficients
from the fitted regression model, fixing the independent
variable of interest (i.e., psychiatric diagnosis) at a spe-
cific value while letting the other independent variables
vary at their original values for each individual in the
sample [29–31]. The process is repeated, fixing the inde-
pendent variable of interest at the alternate values (i.e.,
different psychiatric diagnoses). STATA 11 (StataCorp
LP; College Station, Texas) was used to compute the
recycled predictions models.
RESULTS
Sample Description
Among the sample of VHA users with psychiatric
diagnoses in FY2010 (n = 52,542), 90.3 percent were
male, 59.1 percent were middle-aged (between 45 and
64 yr), 71.9 percent were Caucasian, and 87.1 percent
were non-Hispanic. About half the sample was married
(48.3%). Relatively equal proportions of the sample were
not service connected (40.8%) or were service connected
at 50 percent or greater (41.1%), with relatively fewer
Veterans being service connected at less than 50 percent
(18%). The most common psychiatric diagnoses were
depression (41.4%) and PTSD (39.7%). Table 1 contains
additional sample characteristics.
Receipt of Employment Services
Within the sample of VHA users with psychiatric
diagnoses, 4.2 percent (n = 2,178) received at least one
employment service visit in FY2010. Bivariate associa-
tions between demographic and clinical characteristics
and receipt of any employment services are displayed in
Table 1 along with the results of the multivariable logis-
tic regression analysis modeling the odds of receipt of
employment services. The multivariable analysis indi-
cated that VHA users who were black, had a substance
use disorder, or had an indication of homelessness were
significantly more likely to receive employment services,
while VHA users who were aged 45 and over, were mar-
ried, had an unknown ethnicity or race, or had a service-
connected disability of 50 percent or greater were less
likely to receive employment services (See Table 1 for
odds ratios).
Additionally, as compared with VHA users with
schizophrenia, VHA users with PTSD, depression, or
another anxiety disorder were less likely to receive
employment services. VHA users with bipolar disorder
did not significantly differ in their odds of receiving
employment services as compared with VHA users with
schizophrenia. Accordingly, after adjusting for demo-
graphic and other clinical factors, the predicted probabil-
ity of VHA users with schizophrenia receiving
employment services was 5.61 percent and was signifi-
cantly higher than the predicted probability of VHA users
with PTSD (3.97%), depression (3.96%), or other anxiety
disorders (2.33%) receiving employment services (all p <
0.001). The predicted probability of VHA users with
bipolar disorder receiving employment services was
5.63 percent and was not significantly different from that
of VHA users with schizophrenia. Additionally, supple-
mental analyses (not shown) indicated that VHA users
with bipolar disorder were more likely than VHA users
with PTSD, depression, or other anxiety disorders to
receive employment services.
Accessing Specific Types of Employment Services:
Incentive Therapy, and Vocational Assistance
Among the sample of VHA users with psychiatric
diagnoses who accessed employment services (n =
2,178), 34.9 percent received TW, 30.0 percent received
Voc Assist, 27.6 percent received SE, and 7.6 percent
received IT. Bivariate associations between clinical and
demographic factors and the receipt of a specific type of
employment service are displayed in Table 2. Results of
the multinomial logistic regression analysis modeling the
likelihood of accessing specific types of employment ser-
vices are displayed in Table 3. VHA users who received
SE as compared with TW were less likely to be black,
have a history of homelessness, and have a substance use
disorder. In terms of psychiatric diagnoses, as compared
Table 1.
Descriptive statistics and bivariate and multivariate associations
between patient characteristics and receipt of employment
services (N = 52,542).
Patient
Characteristic
Complete Sample,
n (%)
Bivariate Analyses Multivariable Logistic Regression Analysis
Employment
Services
(n = 2,178), n (%)
No Employment
Services
(n = 50,364), n (%)
Chi-Square
Test Odds Ratio 95% CI
Sex 2.64
Male 47,428 (90.3) 1,988 (4.2) 45,440 (95.8) 1.08 0.92, 1.28
Female (ref group) 5,114 (9.7) 190 (3.7) 4,924 (96.3)
Age (yr) 458.16*
18–44 (ref group) 10,808 (20.6) 625 (5.8) 10,183 (94.2)
45–64 31,063 (59.1) 1,496 (4.8) 29,567 (95.2) 0.69* 0.61, 0.78
65 and older 10,668 (20.3) 57 (0.5) 10,611 (99.5) 0.17* 0.13,
0.23
Race 471.77*
Caucasian (ref group) 37,776 (71.9) 1,312 (3.5) 36,464 (96.5)
Black 9,155 (17.4) 739 (8.1) 8,416 (91.9) 1.29* 1.16, 1.43
Other 1,534 (2.9) 67 (4.4) 1,467 (95.6) 0.97 0.74, 1.28
Unknown 4,077 (7.8) 60 (1.5) 4,017 (98.5) 0.70† 0.52, 0.93
Ethnicity 82.51*
Hispanic 3,191 (6.1) 107 (3.4) 3,084 (96.7) 0.87 0.70, 1.07
Non-Hispanic (ref group) 45,783 (87.1) 2,022 (4.4) 43,761
(95.6)
Unknown 3,568 (6.8) 49 (1.4) 3,519 (98.6) 0.55* 0.40, 0.75
Marital Status 766.68*
Married 25,359 (48.3) 419 (1.7) 24,940 (98.4) 0.59* 0.53, 0.67
Not married or unknown
(ref group)
27,183 (51.7) 1,759 (6.5) 25,424 (93.5)
Homelessness Indicator 6,257.62*
Yes 4,144 (7.9) 1,146 (27.7) 2,998 (72.4) 7.16* 6.45, 7.95
No (ref group) 48,398 (92.1) 1,032 (2.1) 47,366 (97.9)
Substance Use Disorder 2,513.67*
Yes 11,445 (21.8) 1,420 (12.4) 10,025 (87.6) 3.06* 2.76, 3.39
No (ref group) 41,097 (78.2) 758 (1.8) 40,339 (98.2)
OIF/OEF/OND Veteran 0.15
Yes 6,039 (11.5) 256 (4.2) 5,783 (95.8) 1.02 0.85, 1.21
No (ref group) 46,503 (88.5) 1,922 (4.1) 44,581 (95.9)
Service-Connected Status (%) 315.51*
<50 9,479 (18.0) 409 (4.3) 9,070 (95.7) 0.92 0.81, 1.05
No (ref group) 21,449 (40.8) 1,248 (5.8) 20,201 (94.2)
Psychiatric Diagnosis 398.03*
Schizophrenia (ref group) 3,979 (7.6) 323 (8.1) 3,656 (91.9)
Bipolar Disorder 1,914 (3.6) 183 (9.6) 1,731 (90.4) 1.01 0.81,
1.25
PTSD 20,832 (39.7) 716 (3.4) 20,116 (96.6) 0.65* 0.55, 0.76
Depression 21,730 (41.4) 895 (4.1) 20,835 (95.9) 0.65* 0.55,
0.75
Other Anxiety Disorder 4,087 (7.8) 61 (1.5) 4,026 (98.5) 0.35*
0.26, 0.46
*p < 0.001.
†p < 0.05.
CI = confidence interval, OIF/OEF/OND = Operation Iraqi
Freedom/Operation Enduring Freedom/Operation New Dawn,
PTSD = posttraumatic stress disorder, ref =
reference.
406
JRRD, Volume 51, Number 3, 2014
Table 2.
Descriptive statistics and bivariate associations between patient
characteristics and receipt of specific types of employment
services (N = 2,178).
Patient Characteristic
Complete Sample
Receiving Any
Employment
Service, n (%)
Bivariate Analyses
Received SE
(n = 601), n (%)
Received TW
(n = 759), n (%)
Received IT
(n = 165), n (%)
Received Voc
Assist
(n = 653),
n (%)
Chi-Square
Test
Sex 5.70
Male 1,988 (91.3) 537 (89.4) 693 (91.3) 156 (94.6) 602 (92.2)
Female 190 (8.7) 64 (10.7) 66 (8.7) 9 (5.5) 51 (7.8)
Age (yr) 55.21*
18–44 625 (28.7) 182 (30.3) 188 (24.8) 20 (12.1) 235 (36.0)
45–64 1,496 (68.7) 406 (67.6) 558 (73.5) 136 (82.4) 396 (60.6)
65 and older 57 (2.6) 13 (2.2) 13 (1.7) 9 (5.5) 22 (3.4)
Race 47.58*
Caucasian 1,312 (60.2) 389 (64.7) 393 (51.8) 100 (60.6) 430
(65.9)
Black 739 (33.9) 174 (29.0) 320 (42.2) 57 (34.6) 188 (28.8)
Other 67 (3.1) 18 (3.0) 21 (2.8) 8 (4.9) 20 (3.1)
Unknown 60 (2.8) 20 (3.3) 25 (3.3) 0 (0) 15 (2.3)
Ethnicity 10.71
Hispanic 107 (4.9) 35 (5.8) 42 (5.5) 2 (1.2) 28 (4.3)
Non-Hispanic 2,022 (92.8) 554 (92.2) 700 (92.2) 162 (98.2) 606
(92.8)
Unknown 49 (2.3) 12 (2.0) 17 (2.2) 1 (0.6) 19 (2.9)
Marital Status 11.65†
Married 419 (19.2) 115 (19.1) 123 (16.2) 29 (17.6) 152 (23.3)
Not married or unknown 1,759 (80.8) 486 (80.9) 636 (83.8) 136
(82.4) 501 (76.7)
Homelessness Indicator 103.04*
Yes 1,146 (52.6) 263 (43.8) 494 (65.1) 109 (66.1) 280 (42.9)
No 1,032 (47.4) 338 (56.2) 265 (34.9) 56 (33.9) 373 (57.1)
Substance Use Disorder 67.49*
Yes 1,420 (65.2) 333 (55.4) 560 (73.8) 129 (78.2) 398 (61.0)
No 758 (34.8) 268 (44.6) 199 (26.2) 36 (21.8) 255 (39.1)
OIF/OEF/OND Veteran 43.59*
Yes 256 (11.8) 60 (10.0) 69 (9.1) 7 (4.2) 120 (18.4)
No 1,922 (88.3) 541 (90.0) 690 (90.9) 158 (95.8) 533 (81.6)
Service-Connected Status (%) 54.04*
<50 409 (18.8) 121 (20.1) 132 (17.4) 30 (18.2) 126 (19.3)
No 1,248 (57.3) 328 (54.6) 494 (65.1) 107 (64.9) 319 (48.9)
Psychiatric Diagnosis 186.89*
Schizophrenia 323 (14.8) 158 (26.3) 74 (9.8) 34 (20.6) 57 (8.7)
Bipolar Disorder 183 (8.4) 91 (15.1) 43 (5.7) 15 (9.1) 34 (5.2)
PTSD 716 (32.9) 158 (26.3) 250 (32.9) 48 (29.1) 260 (39.8)
Depression 895 (41.1) 181 (30.1) 373 (49.1) 65 (39.4) 276
(42.3)
Other Anxiety Disorder 61 (2.8) 13 (2.2) 19 (2.5) 3 (1.8) 26
(4.0)
*p < 0.001.
†p < 0.01.
IT = incentive therapy, OIF/OEF/OND = Operation Iraqi
Freedom/Operation Enduring Freedom/Operation New Dawn,
PTSD = posttraumatic
stress disorder, SE = supported employment, TW = transitional
work, Voc Assist = vocational assistance.
407
ABRAHAM et al. Psychiatric diagnoses and employment
services
Table 3.
Associations between patient characteristics and receipt of
specific types of employment services: Multivariable analysis
(N = 2,178).
Patient Characteristic
Multinomial Logistic Regression
SE (vs TW) IT (vs TW) Voc Assist (vs TW)
OR 95% CI OR 95% CI OR 95% CI
Sex
Male 1.01 0.68, 1.50 1.36 0.65, 2.87 1.48 0.98, 2.22
Female (ref group) — — — — — —
Age (yr)
18–44 (ref group) — — — — — —
45–64 0.91 0.68, 1.22 2.49* 1.40, 4.45 0.86 0.64, 1.14
65 and older 0.74 0.32, 1.73 5.86† 2.08, 16.50 1.39 0.66, 2.95
Race
Caucasian (ref group) — — — — — —
Black 0.61† 0.47, 0.79 0.58* 0.40, 0.84 0.64† 0.50, 0.81
Other 0.88 0.45, 1.73 1.66 0.70, 3.95 0.94 0.49, 1.81
Unknown 0.65 0.34, 1.26 0.00 0.00, 99.99 0.39* 0.19, 0.78
Ethnicity
Hispanic 0.86 0.52, 1.41 0.19‡ 0.05, 0.80 0.61 0.37, 1.02
Non-Hispanic (ref group) — — — — — —
Unknown 0.83 0.37, 1.88 0.32 0.04, 2.49 1.68 0.82, 3.45
Marital Status
Married 0.97 0.71, 1.32 1.31 0.81, 2.11 1.00 0.75, 1.33
Not married or unknown (ref group) — — — — — —
Homelessness Indicator
Yes 0.60† 0.46, 0.77 1.08 0.72, 1.62 0.52† 0.41, 0.66
No (ref group) — — — — — —
Substance Use Disorder
Yes 0.57† 0.44, 0.74 1.29 0.82, 2.01 0.78 0.60, 1.01
No (ref group) — — — — — —
OIF/OEF/OND Veteran Status
Yes 0.87 0.56, 1.35 0.88 0.35, 2.24 1.33 0.89, 1.97
No (ref group) — — — — — —
Service-Connected Status (%)
<50 1.29 0.95, 1.76 1.24 0.78, 1.98 1.35‡ 1.00, 1.82
No (ref group) — — — — — —
Psychiatric Diagnosis
Schizophrenia (ref group) — — — — — —
Bipolar Disorder 0.97 0.61, 1.56 0.69 0.33, 1.44 1.04 0.58, 1.86
PTSD 0.30† 0.21, 0.43 0.41† 0.24, 0.69 1.28 0.85, 1.92
Depression 0.25† 0.18, 0.35 0.35† 0.21, 0.58 1.22 0.82, 1.82
Other Anxiety Disorder 0.32* 0.15, 0.70 0.35 0.09, 1.27 2.01
0.99, 4.09
*p < 0.01.
†p < 0.001.
‡p < 0.05.
CI = confidence interval, IT = incentive therapy, OR = odds
ratio, OIF/OEF/OND = Operation Iraqi Freedom, Operation
Enduring Freedom, Operation New Dawn,
PTSD = posttraumatic stress disorder, ref = reference, SE =
supported employment, TW = transitional work, Voc Assist =
vocational assistance.
408
JRRD, Volume 51, Number 3, 2014
409
ABRAHAM et al. Psychiatric diagnoses and employment
services
with VHA users with schizophrenia, VHA users with
PTSD, depression, and other anxiety disorders were less
likely to receive SE than TW.
VHA users who received IT as compared with TW
were more likely to be 45 yr or older than to be 18–44 yr
old. VHA users who received IT as compared with TW
were also less likely to be black or of Hispanic ethnicity.
Finally, VHA users with psychiatric diagnoses of PTSD
or depression as compared with VHA users with schizo-
phrenia were less likely to receive IT than TW.
VHA users who received Voc Assist as compared
with TW were less likely to be black or have an unknown
race and less likely to have an indication of homeless-
ness. Conversely, VHA users who were service con-
nected (at any percentage) were more likely to receive
Voc Assist compared with TW. Compared with VHA
users with schizophrenia, VHA users with bipolar disor-
der, PTSD, and depression were no more or less likely to
receive Voc Assist compared with TW.
Table 4 illustrates the predicted probabilities for
receiving specific types of employment services among
VHA users with psychiatric diagnoses who received any
employment service (n = 2,178) and whether these pre-
dicted probabilities differed based on psychiatric diagno-
sis, after adjusting for clinical and demographic factors.
Regarding receipt of SE, the predicted probability of
VHA users with schizophrenia receiving SE was
47.78 percent and was significantly higher than the pre-
dicted probability of those with PTSD (22.77%), depres-
sion (20.13%), or other anxiety disorders (20.37%)
receiving SE (all p < 0.001). The predicted probability of
VHA users with bipolar disorder receiving SE was
48.41 percent, which was not significantly different from
that of VHA users with schizophrenia, and supplemental
analyses (not shown) indicated VHA users with bipolar
disorder were also more likely to receive SE than those
with PTSD, depression, or other anxiety disorders. Fur-
thermore, VHA users with PTSD or depression had sig-
nificantly higher predicted probabilities (36.73% and
39.17%, respectively, p < 0.001) of receiving TW than
VHA users with schizophrenia (23.87%). The predicted
probabilities of VHA users with PTSD (7.26%, p = 0.05)
or depression (6.62%, p < 0.05) receiving IT were signif-
icantly lower than that of VHA users with schizophrenia
(11.45%). The predicted probabilities of receiving Voc
Assist services were significantly higher among VHA
users with PTSD (33.24%), depression (34.07%), and
other anxiety disorders (43.11%) compared with VHA
users with schizophrenia (16.91%; all p < 0.001).
DISCUSSION
This study sought to describe the reach of employ-
ment services to the population of VHA users with psy-
chiatric diagnoses. Overall, findings suggest that only a
small percentage of VHA users with psychiatric diagno-
ses access employment services in a given year—a find-
ing that is consistent with a prior report [17–19]. In this
representative sample, VHA users with psychiatric diag-
noses of schizophrenia had higher odds of accessing any
employment services relative to VHA users with other
psychiatric diagnoses, including PTSD, depression, and
other anxiety disorders, but did not differ in their odds of
accessing employment services as compared with VHA
users with bipolar disorder. Despite differences in access-
ing employment services based on psychiatric diagnosis,
it is important to note that the percentage of VHA users
who accessed employment services in 1 yr is relatively
low across persons in all
Table 4.
Recycled predictions: Predicted probabilities of receipt of
specific types of employment services.
Psychiatric Diagnosis MarginSE TW IT Voc Assist
Schizophrenia 47.78 23.87 11.45 16.91
Bipolar Disorder 48.41a 24.98a 8.36a 18.25a
PTSD 22.77b 36.73c 7.26b 33.24c
Depression 20.13b 39.17c 6.62b 34.07c
Other Anxiety Disorder 20.37b 31.27a 5.25a 43.11c
Note: Predicted probabilities (i.e., margins) are adjusted for all
demographic and clinical variables displayed in Table 3.
aNo significant difference vs schizophrenia.
IT = incentive therapy, PTSD = posttraumatic stress disorder,
SE = supported employment, TW = transitional work, Voc
Assist = vocational assistance.
psychiatric diagnostic categories
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JRRD, Volume 51, Number 3, 2014
(range unadjusted: 1.5% [anxiety disorders other than
PTSD] to 9.6% [bipolar disorder]; range adjusted for
demographic and clinical variables: 2.3% [anxiety disor-
ders other than PTSD] to 5.6% [schizophrenia and bipo-
lar disorder]). Although VHA policy suggests that the
scope of the TSES program is to provide employment
services to all Veterans with psychiatric conditions who
are interested in developing work-related skills [11], the
present study findings suggest that the reach of employ-
ment services to the population of Veterans with psychi-
atric diagnoses in VHA is limited.
Notably, among VHA users with psychiatric diagno-
ses, those who were black, had a diagnosis of a substance
use disorder, or had an indication of homelessness were
more likely to receive employment services. Given that
people who are black [32] or have substance use disor-
ders [33] generally face higher rates of unemployment, it
is encouraging that VHA users with psychiatric diagno-
ses and these sociodemographic characteristics were
more likely to access employment services. Yet, while
individuals with these sociodemographic characteristics
were more likely to receive employment services, they
were less likely to receive SE as compared with TW. This
is of particular concern because SE is an evidence-based
practice for obtaining employment and TW is not. Rea-
sons for this disparity in receiving evidence-based
employment services require further investigation before
they can be effectively addressed. It is possible that there
may be limited availability of SE in VHA facilities in
particular geographic regions that serve higher propor-
tions of Veterans who are black, homeless, or have a sub-
stance use disorder. A recent independent evaluation
indicated some degree of variability in the extent to
which Veterans received SE across VHA regions [24].
Alternatively, biases in clinical judgment with regard to
which Veterans might benefit from evidence-based ser-
vices could be investigated as a potential barrier to
accessing SE. Whether the size and availability of exist-
ing employment service programs across the VHA or
mental health service providers’ expectations [34–35] are
associated with the reach of employment services in gen-
eral or evidence-based employment services specifically
are important areas of future study.
Our finding that VHA users with a service-connected
disability of 50 percent or higher were less likely to
access employment services is consistent with prior
research [22]. Notably, our data suggest that having a ser-
vice-connected disability of less than 50 percent was not
associated with a lower likelihood of receiving employ-
ment services. This is consistent with a recent finding
that service-connected disabilities of 50 percent or higher
(but not necessarily lower levels) were associated with
unemployment and not looking for employment [23].
Regulations associated with loss of Social Security
Administration medical and financial benefits due to
employment may act as a disincentive to return to com-
petitive employment [36–37], though perhaps only at
higher levels of service-connected disability [35].
Although Department of Veterans Affairs (VA) benefits
are not reduced due to income earned through VHA
employment services, whether the perception of a loss of
VA benefits acts as a disincentive to even seeking VHA
employment services is an important research and policy
consideration. Educating clinicians and patients about
these issues could help to increase rates of participation
in VHA employment services.
Present study analyses also indicated that among
VHA users who accessed employment services, those
with schizophrenia or bipolar disorder were more likely
to receive SE, while those with PTSD or depression were
more likely to receive TW or Voc Assist. The majority of
research supporting the effectiveness of SE was con-
ducted in samples of people with psychotic or mood dis-
orders [13] and VHA guidelines suggest that a minimum
of 75 percent of Veterans enrolled in SE should be indi-
viduals with psychosis [25]; thus, it is not surprising that
VHA users with schizophrenia or bipolar disorder were
more likely to access SE. Moreover, it is possible that
VHA users with less severe mental health conditions
require less intensive employment services. Little is
known, however, regarding the type(s) of employment
services that are preferred or most effective among Veter-
ans with diagnoses of depression, PTSD, or other anxiety
disorders. The single randomized controlled trial of TW
among VHA patients found it did not improve competi-
tive employment among Veterans with nonpsychotic psy-
chiatric diagnoses and comorbid substance use disorders,
though Veterans who received TW were more likely to
engage in paid activity and work more hours through the
program than those who received standard job placement
[38]. Additionally, since a variety of services could be
encompassed by Voc Assist, it is unclear whether the
employment services and strategies Veterans receive are
effective.
Given TW and/or Voc Assist services are most likely
to reach VHA users with PTSD, depression, and other
411
ABRAHAM et al. Psychiatric diagnoses and employment
services
anxiety disorders, further study is needed to identify
type(s) of employment services that will be most effective
for these populations. A recent study of OIF/OEF Veter-
ans referred for mental health assessment found that
59 percent were employed and that among those
employed, psychiatric diagnoses of major depressive dis-
order, other anxiety disorders, and PTSD were each asso-
ciated with impaired work performance [39]. For
Veterans with certain psychiatric diagnoses, it is possible
that employment services that include improving work
performance in existing jobs may be as relevant as
employment services that focus on obtaining employ-
ment. Importantly, a recent randomized controlled trial
found SE efficacious in improving employment out-
comes among unemployed Veterans with PTSD [40].
Moreover, SE services appear to be effective for OIF/
OEF Veterans with PTSD (see Twamley et al. [25] for a
discussion). Hence, the availability of SE services for
unemployed Veterans with PTSD may be critical for
improving employment outcomes.
LIMITATIONS
Reliance on administrative data limited the present
analyses in that we were unable to ascertain VHA users’
current employment status and their desire for employ-
ment or employment services [17] and their utilization of
non-VHA employment services (including employment
services or referrals provided through the Veterans Bene-
fits Administration), which, along with other individual-
level factors, would likely influence whether or not a Vet-
eran attempted to access VHA employment services.
Although prior research suggests psychiatric diagnosis
can be validly ascertained from administrative data [26],
it is possible that our use of administrative data to iden-
tify diagnosis resulted in an underdetection of psychiatric
conditions. Additionally, we did not assess receipt of
employment services over time, but focused on the reach
of services in a single year. Finally, since present analy-
ses examined reach of employment services, rather than
the degree of Veterans’ participation in, or the effective-
ness, efficacy, or fidelity of such services, we selected a
liberal operational definition of accessing employment
services (i.e., receiving one visit of employment ser-
vices). Of course, it is unlikely that one employment ser-
vice visit would be sufficient in terms of addressing the
employment needs of Veterans with psychiatric diagno-
ses. Given the low rates of accessing even one employ-
ment service-related visit, the number of patients who
received potentially effective services was even smaller.
Notably, in supplemental analyses (not shown) we used
another standard definition of meaningful participation in
employment services [14] and found that only 1.9 per-
cent of Veterans with psychiatric diagnoses received four
or more visits of one specific type of employment service
during FY2010.
Similarly, the mutually exclusive hierarchy we used
to define receipt of specific types of employment services
was constructed to examine the relative percentage of
VHA users who accessed only one visit of a particular
type of service, beginning with SE. This method likely
overestimates the percentage of Veterans who received
multiple visits of SE, while underestimating the percent-
age of Veterans who received multiple visits of TW, IT,
or Voc Assist (see Resnick et al. [14] for an evaluation of
VHA employment services that considers number of vis-
its to SE and TW). Despite this, the present analyses offer
an estimate of VHA users with psychiatric disabilities
who did gain access to at least one visit of particular
types of employment services. Future investigations
regarding the reach of VHA employment services should
examine with greater detail the various types of employ-
ment services received by Veterans with psychiatric diag-
noses, consider the number of Veterans who receive
effective employment services, and identify what factors
are associated with receiving effective services.
CONCLUSIONS
The present analyses extend the current literature in
that they provide a population-based examination of the
reach of VHA employment services for VHA users with
psychiatric diagnoses. Only 4.2 percent of VHA users
with psychiatric diagnoses accessed employment ser-
vices during FY2010, suggesting potentially substantial
unmet employment-related needs for VHA patients with
a wide range of psychiatric conditions. Additionally, the
majority of Veterans who receive employment services
do not receive evidence-based services. Future investiga-
tions are needed to identify factors at multiple ecological
levels of analysis (e.g., regional, facility, provider, Vet-
eran) associated with accessing employment services for
Veterans with psychiatric diagnoses. Particular attention
should be paid to the availability of evidence-based
412
JRRD, Volume 51, Number 3, 2014
employment services, namely supported employment,
across VHA facilities.
Given a protracted recession, a weak economy, and
prior research illustrating high unemployment rates
among Veterans with psychiatric diagnoses, this work
highlights that as of FY2010, existing efforts to increase
supply of and access to employment-related services for
VHA patients with psychiatric diagnoses may have been
insufficient to meet the demand for support. Notably
these findings also highlight the importance of more
recent VHA employment programs implemented after
FY2010, including the Homeless Veterans Supported
Employment Program and the Vocational Rehabilitation
and Employment Vet Success Program, which target
employment assistance to Veterans with histories of or at
risk for homelessness and Veterans with service-connected
disabilities who were recently separated from the military
[41]. Although these programs do not specifically target
Veterans with psychiatric diagnoses, certainly some Vet-
erans with psychiatric diagnoses may benefit from them.
Overall, the present study findings indicate that the
reach of employment services to Veterans with psychiat-
ric diagnoses is quite limited and suggest the VHA
should consider expanding the availability of employ-
ment services, particularly evidence-based employment
services (i.e., SE). Such an expansion would represent a
commitment to treatments that explicitly focus on
improving the functioning of Veterans with psychiatric
conditions and would be consistent with the VHA’s efforts
to adopt recovery-oriented mental health services [42].
ACKNOWLEDGMENTS
Author Contributions:
Conceptualized research question: K. M. Abraham, K. Zivin.
Contributed to study design: K. M. Abraham, K. Zivin, D.
Ganoczy,
S. G. Resnick.
Data analysis: D. Ganoczy, M. Yosef.
Data interpretation: D. Ganoczy, S. G. Resnick.
Drafted manuscript: K. M. Abraham, K. Zivin.
Edited manuscript: D. Ganoczy.
Approved final manuscript: K. M. Abraham, K. Zivin, D.
S. G. Resnick, M. Yosef.
Financial Disclosures: The authors have declared that no
competing
interests exist.
Funding/Support: Although the research presented here was not
directly funded, Dr. Abraham’s work on this was supported, in
part, by
the VA Office of Academic Affiliations, Advanced Fellowship
Pro-
gram in Mental Illness Research and Treatment. Dr. Zivin’s
work was
supported by the VA, VHA, Health Services Research and
Develop-
ment Service (grants IIR 10-176-3 and CDA 2 07-206-1).
Additional Contributions: The authors thank Erin Miller for her
assistance in preparing this manuscript.
Institutional Review: Analyses were approved by VA Ann Arbor
Institutional Review Board.
Disclaimer: The views expressed in this manuscript are those of
the
authors and do not necessarily represent the views of the VA.
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http://dx.doi.org/10.2975/33.4.2010.297.307
39. Adler DA, Possemato K, Mavandadi S, Lerner D, Chang
H, Klaus J, Tew JD, Barrett D, Ingram E, Oslin DW. Psy-
chiatric status and work performance of veterans of Opera-
tions Enduring Freedom and Iraqi Freedom. Psychiatr Serv.
2011;62(1):39–
http://dx.doi.org/10.1176/appi.ps.62.1.39
40. Davis LL, Leon AC, Toscano R, Drebing CE, Ward LC,
Parker PE, Kashner TM, Drake RE. A randomized con-
trolled trial of supported employment among veterans with
posttraumatic stress disorder. Psychiatr Serv. 2012;63(5):
464–
http://dx.doi.org/10.1176/appi.ps.201100340
41. Department of Veterans Affairs. Homeless veterans:
Employment programs [Internet]. Washington (DC):
Department of Veterans Affairs; 2013 [updated 2012 Nov
27; cited 2014 Apr 25]. Available from: http://www.va.gov/
HOMELESS/employment_programs.asp
42. Goldberg RW, Resnick SG. US Department of Veterans
Affairs (VA) efforts to promote psychosocial rehabilitation
and recovery. Psychiatr Rehabil J. 2010;33(4):255–
http://dx.doi.org/10.2975/33.4.2010.255.258
Submitted for publication May 8, 2013. Accepted in
revised form October 21, 2013.
This article and any supplementary material should be
Abraham KM, Ganoczy D, Yosef M, Resnick SG, Zivin
K. Receipt of employment services among Veterans
Health Administration users with psychiatric diagnoses.
J Rehabil Res Dev. 2014;51(3):401–
http://dx.doi.org/10.1682/JRRD.2013.05.0114
ResearcherID/ORCID: Sandra G. Resnick, PhD: F-3883-
2014
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Applying Supply and Demand Concepts
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determine the equilibrium in the market for two-bedroom
apartments on lease. The learner differentiates between
movement along and shift of the demand and supply curves, and
determines how equilibrium is re-established after one or both
curves shift.
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__MACOSX/simulation/._supply_demand
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401JRRDJRRD Volume 51, Number 3, 2014Pages 401–414Rece.docx

  • 1. 401 JRRDJRRD Volume 51, Number 3, 2014Pages 401–414 Receipt of employment services among Veterans Health Administration users with psychiatric diagnoses Kristen M. Abraham, PhD;1–3* Dara Ganoczy, MPH;4 Matheos Yosef, PhD;2 Sandra G. Resnick, PhD;5– Kara Zivin, PhD2,4,7 1Department of Psychology, University of Detroit Mercy, Detroit, MI; 2Department of Psychiatry, University of Michi- gan Medical School, Ann Arbor, MI; 3Department of Veterans Affairs (VA) Serious Mental Illness Treatment Resource and Evaluation Center, Ann Arbor, MI; 4VA Center for Clinical Management Research, Ann Arbor, MI; 5Department of Psychiatry, Yale University School of Medicine, New Haven, CT; 6VA New England Mental Illness Research, Educa- tion, and Clinical Center, West Haven, CT; 7Department of Health Management and Policy, School of Public Health; and Institute for Social Research, University of Michigan, Ann Arbor, MI Abstract—This study examined the population-based reach of Veterans Health Administration (VHA) employment services to VHA patients with psychiatric diagnoses. Reach of services includes the percentage and characteristics of people who accessed services compared with those who did not. Using clinical administrative data, we identified patients with a psy- chiatric diagnosis among a random sample of all patients who received VHA services in 1 yr. Among VHA patients with psy-
  • 2. chiatric diagnoses, we examined their likelihood of receiving any VHA employment services and specific types of employ- ment services, including supported employment, transitional work, incentive therapy, and vocational assistance. We identi- fied clinical and demographic characteristics associated with receiving employment services. Results indicated that 4.2% of VHA patients with a psychiatric diagnosis received employ- ment services. After adjusting for clinical and demographic characteristics, VHA patients with schizophrenia and bipolar disorder were more likely to receive any employment services and to receive supported employment than were patients with depression, PTSD, or other anxiety disorders. VHA patients with depression and PTSD were more likely to receive transi- tional work and vocational assistance than patients with schizophrenia. Future studies should examine system-level barriers to receiving employment services and identify types of employment services most appropriate for Veterans with dif- ferent psychiatric diagnoses. Key words: access, anxiety disorders, bipolar disorder employment services, depression, mental illness, psychiatric diagnosis, PTSD, schizophrenia, supported employment, tran- sitional work, veterans, vocational rehabilitation. INTRODUCTION It is well known that people with severe mental ill- nesses, such as schizophrenia and bipolar disorder, face Abbreviations: FY = fiscal year, ICD = International Classifi- cation of Diseases, IT = incentive therapy, OIF/OEF/OND = Operation Iraqi Freedom/Operation Enduring Freedom/Opera- tion New Dawn, PTSD = posttraumatic stress disorder, SE = supported employment, TSES = Therapeutic and Supported Employment Services, TW = transitional work, VA = Depart- ment of Veterans Affairs, VHA = Veterans Health Administra-
  • 3. tion, Voc Assist = vocational assistance. *Address all correspondence to Kristen M. Abraham, PhD; University of Detroit Mercy, Department of Psychology, 4001 W McNichols Rd, Detroit, MI 48221-0445; 313-578- 0445; fax: 313-578-0507. Email: [email protected], [email protected] http://dx.doi.org/10.1682/JRRD.2013.05.0114 402 JRRD, Volume 51, Number 3, 2014 unemployment rates far higher than the general popula- tion [1–2], despite the fact that a majority of these indi- viduals report a desire to work [3]. Although people with depressive disorders are not always classified as having a “severe” mental illness, population-based studies suggest that they, too, have lower rates of employment than peo- ple without a mood disorder [4]. Moreover, a range of psychiatric disorders is associated with days of work lost [5]. Similarly, a large representative study of working- aged (18–64 yr old) Veterans Health Administration (VHA) patients recently found that those with psychiatric diagnoses of schizophrenia, bipolar disorder, posttrau- matic stress disorder (PTSD), depression, or a substance use disorder were more likely to be unemployed, dis- abled, or retired than patients without psychiatric diagno- ses [6]. These findings are particularly striking because, on average, VHA patients are already less likely to be employed than the general population [6]. For people with psychiatric diagnoses, employment is known to be a meaningful indicator of functioning in that it allows access to a valued social role [7] and a sense
  • 4. of meaning and recovery [8]. Additionally, a recent anal- ysis found that having a working-aged member of a household with severe mental illness is associated with a 3.10 increase in the odds of household poverty [9]. While the presence of a working-aged adult with severe mental illness and an unemployed head of household were each uniquely associated with increased likelihood of house- hold poverty, the combination of having a working-aged person with severe mental illness and an unemployed head of household was associated with an even higher likelihood and greater depth of poverty [9]. Hence, employment is critical to improving the economic situa- tion of people with severe mental illness. Supported Employment Services Facilitating opportunities for employment has long been considered a relevant aspect of providing mental health treatment to Veterans with psychiatric diagnoses [10]. Currently, the VHA provides vocational rehabilita- tive services through the Therapeutic and Supported Employment Services (TSES) program to help Veterans with psychiatric diagnoses obtain employment and expe- rience the therapeutic effects of work. TSES includes four primary types of vocational rehabilitative services: supported employment (SE), transitional work (TW), incentive therapy (IT), and vocational assistance (Voc Assist) [11]. SE utilizes an individualized approach to working with people to help them obtain competitive employment in a job of their choosing in the community [11]. Two meta-analyses of randomized controlled trials indicate that SE helps persons with serious mental illness obtain
  • 5. competitive employment [12–13]; thus, it is considered the gold standard evidence-based practice for improving employment outcomes among people with serious mental illness. By definition, SE is provided in community rather than clinical settings and includes having an employment specialist provide assistance identifying and obtaining jobs that are matched to the Veteran’s interests and abilities, identifying and addressing challenges to employment, and providing ongoing support while seek- ing employment and while employed to the extent desired by the Veteran. TW is a program in which Veterans gain work expe- rience through time-limited positions in actual work set- tings in the community or at VHA medical centers. Per VHA policy, work settings include, but are not limited to, the following: housekeeping, grounds maintenance, and clerical duties involving nonsensitive patient informa- tion. The goal of TW is to prepare participants to suc- cessfully transition into competitive employment. In contrast, IT is a prevocational work program in which Veterans perform work at VHA medical centers. The pri- mary goal of IT is to provide veterans with severe dis- abilities with opportunities to develop work skills, though competitive employment is not the goal of this service [11]. Voc Assist provides more general employment assistance in group and individual sessions and does not necessarily follow a particular model of vocational reha- bilitation, but may include assessment, guidance, and counseling. Population- Services VHA provides comprehensive ongoing monitoring
  • 6. of Veterans’ utilization of employment services and the immediate outcomes of such services [14]. However, less is known about the extent to which the overall population of VHA users with psychiatric diagnoses accesses VHA employment services. The reach of a program or practice is considered one of five dimensions necessary for assessing the population-based impact of an intervention 403 ABRAHAM et al. Psychiatric diagnoses and employment services (see Reach Effectiveness Adoption Implementation Maintenance framework [15]). It has been argued that an examination of program reach is particularly important in addressing areas of health disparities because it can iden- tify whether people who most need the program receive it [16]. Considering the low rates of employment among Veterans with psychiatric diagnoses relative to the gen- eral population (which perhaps could be called an employment disparity), an investigation that addresses the extent to which VHA employment services reach the population of VHA users with psychiatric diagnoses is an important area of inquiry. Prior analyses identified the number of Veterans who participated in employment services relative to the total number of VHA users with psychiatric diagnoses in fis- cal year (FY) 2009 and found that only 3.5 percent of Veterans with a psychiatric diagnosis received employ- ment services [17–19]. Although it cannot be assumed that all Veterans with psychiatric diagnoses who use the VHA have a need for employment services, a recent
  • 7. independent multimethod evaluation suggested a sub- stantial unmet need for employment services among VHA users with psychiatric diagnoses. Specifically, among a representative sample of Veterans with psychiat- ric diagnoses who were interviewed between November 2008 and August 2009, 10.5 percent reported needing assistance finding a job in the past year, of whom more than 70 percent reported they did not receive any employment services [20]. Moreover, in a review of med- ical records of Veterans who had an employment need documented during a new treatment episode during FY2007, only 28 percent were offered employment ser- vices [21]. The medical record review did not assess the extent to which employment services were offered to Veterans who expressed employment needs during a visit that was not considered a new treatment episode, but, nonetheless, this suggests unmet employment needs. Importantly, a thorough evaluation of the population- based reach of an intervention includes identifying the characteristics of people who receive a given interven- tion, as compared with those who do not [15]. To date, little work has focused on what demographic or clinical characteristics may be associated with receipt of VHA employment services. However, in terms of self-reported need for employment services, a recent evaluation found that Veterans with bipolar disorder were most likely to report needing help finding a job, whereas Veterans with PTSD were the least likely to report needing such assis- tance [20]. Another factor found to be related to employ- ment outcomes and degree of participation in employment services among Veterans is whether they receive income for a service-connected condition [22]. A recent analysis found that a service-connected disability of 50 percent or greater, in particular, was associated with
  • 8. lower likelihood of employment [23]. Particular levels of service-connected disability status may also be associ- ated with receipt of employment services. In sum, under- standing the population-based reach of the TSES program requires an evaluation of what percentage of VHA users with psychiatric diagnoses accesses different employment programs and whether particular clinical and demographic factors are associated with receiving TSES services. Present Evaluation We sought to assess the reach of TSES services in a single year by examining the percentage of VHA users with psychiatric diagnoses who accessed employment services and to identify demographic and clinical charac- teristics associated with accessing such services. Addi- tionally, among VHA users with psychiatric diagnoses who accessed employment services, we sought to iden- tify demographic and clinical characteristics associated with accessing specific types of employment services (i.e., SE, TW, IT, Voc Assist). METHODS We employed a cross-sectional design to identify VHA users with psychiatric diagnoses who accessed employment services during FY2010. VHA administra- tive data were used to select a 5 percent random sample of all VHA users who received services during FY2010 (n = 277,159). This random sample of VHA service users is maintained by the VHA Serious Mental Illness Treat- ment Resource and Evaluation Center. Sample Selection To address our research questions, we selected from
  • 9. the random sample only VHA users with a psychiatric diagnosis of schizophrenia (International Classification of Diseases [ICD] code 295.0–295.4, 295.6–295.9), bipo- lar disorder (ICD 296.0–296.1, 296.4–296.8), depression (ICD 293.83, 296.2, 296.3, 296.90, 296.99, 298.0, 300.4, 301.12, 309.0, 309.1, 311), PTSD (ICD 309.81), or another 404 JRRD, Volume 51, Number 3, 2014 anxiety disorder (ICD 300.00–300.02, 300.09–300.10, 300.20–300.23, 300.29). To be consistent with a recent evaluation of VHA mental health services, including some employment services [20–21,24], we did not use sub- stance use disorders as primary independent variables. VHA users were considered to have a specific psychiatric diagnosis if they were assigned a diagnosis in the same category during one inpatient visit or two outpatient vis- its during FY2010. Prior research supports this method of using VHA administrative data to ascertain psychiatric diagnosis [25], particularly when the presence of two of the same diagnoses in administrative data [26] are used to determine diagnosis. Within the random sample, 52,542 of the VHA users (19%) had at least one of the aforemen- tioned psychiatric diagnoses. Dependent Variables Since we were interested in ascertaining whether a VHA user had accessed any employment service, the pri- mary dependent variable was defined as one or more of any of the following TSES visits during FY2010 per
  • 10. VHA inpatient encounters and outpatient administrative data: SE, TW, IT, and Voc Assist. Employment services visits were dichotomized to indicate any utilization of employment services (yes/no). For additional analyses, the dependent measure was the type of employment services accessed. Of the VHA users who did have at least one employment services visit, 73.1 percent received only one type of employment service and 21.3 percent received two types of employ- ment services, while a smaller percentage received three (5.33%) or four (0.23%) types of employment services. VHA users with FY2010 visits in more than one of the four employment services categories were coded into mutually exclusive categories based on the following hierarchy: SE, TW, IT, Voc Assist (represented by admin- istrative data stop code numbers 568, 574, 573, and 575 and/or 535, respectively). The mutually exclusive hierar- chy was designed to (1) reflect a continuum of the type of employment service most focused on competitive employment and with the largest evidence base (i.e., SE) [27] through type of employment service that is most sheltered and does not focus on competitive employment (i.e., IT) and (2) capture VHA users who received only Voc Assist and no other employment services. Prior research has used a similar hierarchy to classify type of employment services received [25]. In analyses compar- ing the type of employment services used, the employ- ment service variable was dummy-coded with TW serving as the reference group, because this is the type of employment service most commonly received [14]. Independent Variables Demographic and clinical characteristics were ascer-
  • 11. tained from VHA administrative data. Primary indepen- dent variables were the aforementioned psychiatric diagnoses. Similar to previously used methods [28], VHA users with more than one type of psychiatric diag- nosis in FY2010 were coded into mutually exclusive diagnostic categories in the following hierarchy based on severity: schizophrenias, bipolar disorders, PTSD, depressive disorders, and other anxiety disorders. For adjusted analyses, psychiatric diagnosis was dummy- coded such that schizophrenia served as the reference group, because it is often considered the most severe of psychiatric diagnoses. Additional independent variables included demo- graphic factors of age (under 45 yr, 45–64 yr, 65 yr and over), race (white, black, other, unknown), ethnicity (non-Hispanic, Hispanic, unknown), sex (male, female), and marital status (married, not married/divorced/ unknown) and the clinical variable of a substance use dis- order diagnosis (ICD diagnoses 291, 292, 303.0, 303.9, 304, 305.0, 305.2–305.9 excluding .x3) during FY2010 (yes/no). Homelessness status (yes/no) was ascertained by the receipt of a VHA homelessness service or the presence of a diagnostic indicator of homelessness during FY2010. Service-connected status (50% or greater, 0%– 50%, no) was defined by the presence of a disability deemed to be associated with military service. Operation Iraqi Freedom/Operation Enduring Freedom/Operation New Dawn (OIF/OEF/OND) Veteran status (yes/no) was determined using the OIF/OEF/OND roster, a database of Veterans who have been involved in the OIF/OEF/OND mission. Statistical Analyses First, descriptive analyses were conducted to deter-
  • 12. mine the percentage of VHA users with any psychiatric diagnosis that received employment services. Next, bivariate analyses (i.e., chi-square tests) were used to examine the association between demographic and clini- cal characteristics and the receipt of employment ser- vices. Finally, a multivariable logistic regression model and a multivariate multinomial logistic regression model each examined the likelihood of receipt of employment 405 ABRAHAM et al. Psychiatric diagnoses and employment services services and receipt of specific types of employment services, respectively, based on clinical and demographic factors while controlling for the effect of other variables. These analyses were conducted using SAS 9.3 (SAS Institute Inc; Cary, North Carolina). In addition to identifying the likelihood of receipt of employment services, we were interested in understand- ing the predicted probability (i.e., percentage) of VHA users with particular psychiatric diagnoses who received employment services. Thus, in the multivariable models, we employed a “recycled predictions” method that calcu- lates the mean predicted probability of the outcome vari- able (i.e., receipt of employment services; receipt of specific employment services) based on the coefficients from the fitted regression model, fixing the independent variable of interest (i.e., psychiatric diagnosis) at a spe- cific value while letting the other independent variables vary at their original values for each individual in the sample [29–31]. The process is repeated, fixing the inde-
  • 13. pendent variable of interest at the alternate values (i.e., different psychiatric diagnoses). STATA 11 (StataCorp LP; College Station, Texas) was used to compute the recycled predictions models. RESULTS Sample Description Among the sample of VHA users with psychiatric diagnoses in FY2010 (n = 52,542), 90.3 percent were male, 59.1 percent were middle-aged (between 45 and 64 yr), 71.9 percent were Caucasian, and 87.1 percent were non-Hispanic. About half the sample was married (48.3%). Relatively equal proportions of the sample were not service connected (40.8%) or were service connected at 50 percent or greater (41.1%), with relatively fewer Veterans being service connected at less than 50 percent (18%). The most common psychiatric diagnoses were depression (41.4%) and PTSD (39.7%). Table 1 contains additional sample characteristics. Receipt of Employment Services Within the sample of VHA users with psychiatric diagnoses, 4.2 percent (n = 2,178) received at least one employment service visit in FY2010. Bivariate associa- tions between demographic and clinical characteristics and receipt of any employment services are displayed in Table 1 along with the results of the multivariable logis- tic regression analysis modeling the odds of receipt of employment services. The multivariable analysis indi- cated that VHA users who were black, had a substance use disorder, or had an indication of homelessness were significantly more likely to receive employment services,
  • 14. while VHA users who were aged 45 and over, were mar- ried, had an unknown ethnicity or race, or had a service- connected disability of 50 percent or greater were less likely to receive employment services (See Table 1 for odds ratios). Additionally, as compared with VHA users with schizophrenia, VHA users with PTSD, depression, or another anxiety disorder were less likely to receive employment services. VHA users with bipolar disorder did not significantly differ in their odds of receiving employment services as compared with VHA users with schizophrenia. Accordingly, after adjusting for demo- graphic and other clinical factors, the predicted probabil- ity of VHA users with schizophrenia receiving employment services was 5.61 percent and was signifi- cantly higher than the predicted probability of VHA users with PTSD (3.97%), depression (3.96%), or other anxiety disorders (2.33%) receiving employment services (all p < 0.001). The predicted probability of VHA users with bipolar disorder receiving employment services was 5.63 percent and was not significantly different from that of VHA users with schizophrenia. Additionally, supple- mental analyses (not shown) indicated that VHA users with bipolar disorder were more likely than VHA users with PTSD, depression, or other anxiety disorders to receive employment services. Accessing Specific Types of Employment Services: Incentive Therapy, and Vocational Assistance Among the sample of VHA users with psychiatric diagnoses who accessed employment services (n = 2,178), 34.9 percent received TW, 30.0 percent received Voc Assist, 27.6 percent received SE, and 7.6 percent
  • 15. received IT. Bivariate associations between clinical and demographic factors and the receipt of a specific type of employment service are displayed in Table 2. Results of the multinomial logistic regression analysis modeling the likelihood of accessing specific types of employment ser- vices are displayed in Table 3. VHA users who received SE as compared with TW were less likely to be black, have a history of homelessness, and have a substance use disorder. In terms of psychiatric diagnoses, as compared Table 1. Descriptive statistics and bivariate and multivariate associations between patient characteristics and receipt of employment services (N = 52,542). Patient Characteristic Complete Sample, n (%) Bivariate Analyses Multivariable Logistic Regression Analysis Employment Services (n = 2,178), n (%) No Employment Services (n = 50,364), n (%) Chi-Square Test Odds Ratio 95% CI
  • 16. Sex 2.64 Male 47,428 (90.3) 1,988 (4.2) 45,440 (95.8) 1.08 0.92, 1.28 Female (ref group) 5,114 (9.7) 190 (3.7) 4,924 (96.3) Age (yr) 458.16* 18–44 (ref group) 10,808 (20.6) 625 (5.8) 10,183 (94.2) 45–64 31,063 (59.1) 1,496 (4.8) 29,567 (95.2) 0.69* 0.61, 0.78 65 and older 10,668 (20.3) 57 (0.5) 10,611 (99.5) 0.17* 0.13, 0.23 Race 471.77* Caucasian (ref group) 37,776 (71.9) 1,312 (3.5) 36,464 (96.5) Black 9,155 (17.4) 739 (8.1) 8,416 (91.9) 1.29* 1.16, 1.43 Other 1,534 (2.9) 67 (4.4) 1,467 (95.6) 0.97 0.74, 1.28 Unknown 4,077 (7.8) 60 (1.5) 4,017 (98.5) 0.70† 0.52, 0.93 Ethnicity 82.51* Hispanic 3,191 (6.1) 107 (3.4) 3,084 (96.7) 0.87 0.70, 1.07 Non-Hispanic (ref group) 45,783 (87.1) 2,022 (4.4) 43,761 (95.6) Unknown 3,568 (6.8) 49 (1.4) 3,519 (98.6) 0.55* 0.40, 0.75 Marital Status 766.68* Married 25,359 (48.3) 419 (1.7) 24,940 (98.4) 0.59* 0.53, 0.67 Not married or unknown (ref group) 27,183 (51.7) 1,759 (6.5) 25,424 (93.5) Homelessness Indicator 6,257.62* Yes 4,144 (7.9) 1,146 (27.7) 2,998 (72.4) 7.16* 6.45, 7.95 No (ref group) 48,398 (92.1) 1,032 (2.1) 47,366 (97.9) Substance Use Disorder 2,513.67*
  • 17. Yes 11,445 (21.8) 1,420 (12.4) 10,025 (87.6) 3.06* 2.76, 3.39 No (ref group) 41,097 (78.2) 758 (1.8) 40,339 (98.2) OIF/OEF/OND Veteran 0.15 Yes 6,039 (11.5) 256 (4.2) 5,783 (95.8) 1.02 0.85, 1.21 No (ref group) 46,503 (88.5) 1,922 (4.1) 44,581 (95.9) Service-Connected Status (%) 315.51* <50 9,479 (18.0) 409 (4.3) 9,070 (95.7) 0.92 0.81, 1.05 No (ref group) 21,449 (40.8) 1,248 (5.8) 20,201 (94.2) Psychiatric Diagnosis 398.03* Schizophrenia (ref group) 3,979 (7.6) 323 (8.1) 3,656 (91.9) Bipolar Disorder 1,914 (3.6) 183 (9.6) 1,731 (90.4) 1.01 0.81, 1.25 PTSD 20,832 (39.7) 716 (3.4) 20,116 (96.6) 0.65* 0.55, 0.76 Depression 21,730 (41.4) 895 (4.1) 20,835 (95.9) 0.65* 0.55, 0.75 Other Anxiety Disorder 4,087 (7.8) 61 (1.5) 4,026 (98.5) 0.35* 0.26, 0.46 *p < 0.001. †p < 0.05. CI = confidence interval, OIF/OEF/OND = Operation Iraqi Freedom/Operation Enduring Freedom/Operation New Dawn, PTSD = posttraumatic stress disorder, ref = reference. 406 JRRD, Volume 51, Number 3, 2014 Table 2. Descriptive statistics and bivariate associations between patient characteristics and receipt of specific types of employment
  • 18. services (N = 2,178). Patient Characteristic Complete Sample Receiving Any Employment Service, n (%) Bivariate Analyses Received SE (n = 601), n (%) Received TW (n = 759), n (%) Received IT (n = 165), n (%) Received Voc Assist (n = 653), n (%) Chi-Square Test Sex 5.70 Male 1,988 (91.3) 537 (89.4) 693 (91.3) 156 (94.6) 602 (92.2) Female 190 (8.7) 64 (10.7) 66 (8.7) 9 (5.5) 51 (7.8) Age (yr) 55.21* 18–44 625 (28.7) 182 (30.3) 188 (24.8) 20 (12.1) 235 (36.0)
  • 19. 45–64 1,496 (68.7) 406 (67.6) 558 (73.5) 136 (82.4) 396 (60.6) 65 and older 57 (2.6) 13 (2.2) 13 (1.7) 9 (5.5) 22 (3.4) Race 47.58* Caucasian 1,312 (60.2) 389 (64.7) 393 (51.8) 100 (60.6) 430 (65.9) Black 739 (33.9) 174 (29.0) 320 (42.2) 57 (34.6) 188 (28.8) Other 67 (3.1) 18 (3.0) 21 (2.8) 8 (4.9) 20 (3.1) Unknown 60 (2.8) 20 (3.3) 25 (3.3) 0 (0) 15 (2.3) Ethnicity 10.71 Hispanic 107 (4.9) 35 (5.8) 42 (5.5) 2 (1.2) 28 (4.3) Non-Hispanic 2,022 (92.8) 554 (92.2) 700 (92.2) 162 (98.2) 606 (92.8) Unknown 49 (2.3) 12 (2.0) 17 (2.2) 1 (0.6) 19 (2.9) Marital Status 11.65† Married 419 (19.2) 115 (19.1) 123 (16.2) 29 (17.6) 152 (23.3) Not married or unknown 1,759 (80.8) 486 (80.9) 636 (83.8) 136 (82.4) 501 (76.7) Homelessness Indicator 103.04* Yes 1,146 (52.6) 263 (43.8) 494 (65.1) 109 (66.1) 280 (42.9) No 1,032 (47.4) 338 (56.2) 265 (34.9) 56 (33.9) 373 (57.1) Substance Use Disorder 67.49* Yes 1,420 (65.2) 333 (55.4) 560 (73.8) 129 (78.2) 398 (61.0) No 758 (34.8) 268 (44.6) 199 (26.2) 36 (21.8) 255 (39.1) OIF/OEF/OND Veteran 43.59* Yes 256 (11.8) 60 (10.0) 69 (9.1) 7 (4.2) 120 (18.4) No 1,922 (88.3) 541 (90.0) 690 (90.9) 158 (95.8) 533 (81.6) Service-Connected Status (%) 54.04* <50 409 (18.8) 121 (20.1) 132 (17.4) 30 (18.2) 126 (19.3) No 1,248 (57.3) 328 (54.6) 494 (65.1) 107 (64.9) 319 (48.9)
  • 20. Psychiatric Diagnosis 186.89* Schizophrenia 323 (14.8) 158 (26.3) 74 (9.8) 34 (20.6) 57 (8.7) Bipolar Disorder 183 (8.4) 91 (15.1) 43 (5.7) 15 (9.1) 34 (5.2) PTSD 716 (32.9) 158 (26.3) 250 (32.9) 48 (29.1) 260 (39.8) Depression 895 (41.1) 181 (30.1) 373 (49.1) 65 (39.4) 276 (42.3) Other Anxiety Disorder 61 (2.8) 13 (2.2) 19 (2.5) 3 (1.8) 26 (4.0) *p < 0.001. †p < 0.01. IT = incentive therapy, OIF/OEF/OND = Operation Iraqi Freedom/Operation Enduring Freedom/Operation New Dawn, PTSD = posttraumatic stress disorder, SE = supported employment, TW = transitional work, Voc Assist = vocational assistance. 407 ABRAHAM et al. Psychiatric diagnoses and employment services Table 3. Associations between patient characteristics and receipt of specific types of employment services: Multivariable analysis (N = 2,178). Patient Characteristic Multinomial Logistic Regression SE (vs TW) IT (vs TW) Voc Assist (vs TW) OR 95% CI OR 95% CI OR 95% CI Sex
  • 21. Male 1.01 0.68, 1.50 1.36 0.65, 2.87 1.48 0.98, 2.22 Female (ref group) — — — — — — Age (yr) 18–44 (ref group) — — — — — — 45–64 0.91 0.68, 1.22 2.49* 1.40, 4.45 0.86 0.64, 1.14 65 and older 0.74 0.32, 1.73 5.86† 2.08, 16.50 1.39 0.66, 2.95 Race Caucasian (ref group) — — — — — — Black 0.61† 0.47, 0.79 0.58* 0.40, 0.84 0.64† 0.50, 0.81 Other 0.88 0.45, 1.73 1.66 0.70, 3.95 0.94 0.49, 1.81 Unknown 0.65 0.34, 1.26 0.00 0.00, 99.99 0.39* 0.19, 0.78 Ethnicity Hispanic 0.86 0.52, 1.41 0.19‡ 0.05, 0.80 0.61 0.37, 1.02 Non-Hispanic (ref group) — — — — — — Unknown 0.83 0.37, 1.88 0.32 0.04, 2.49 1.68 0.82, 3.45 Marital Status Married 0.97 0.71, 1.32 1.31 0.81, 2.11 1.00 0.75, 1.33 Not married or unknown (ref group) — — — — — — Homelessness Indicator Yes 0.60† 0.46, 0.77 1.08 0.72, 1.62 0.52† 0.41, 0.66 No (ref group) — — — — — — Substance Use Disorder Yes 0.57† 0.44, 0.74 1.29 0.82, 2.01 0.78 0.60, 1.01 No (ref group) — — — — — — OIF/OEF/OND Veteran Status Yes 0.87 0.56, 1.35 0.88 0.35, 2.24 1.33 0.89, 1.97 No (ref group) — — — — — — Service-Connected Status (%) <50 1.29 0.95, 1.76 1.24 0.78, 1.98 1.35‡ 1.00, 1.82 No (ref group) — — — — — — Psychiatric Diagnosis Schizophrenia (ref group) — — — — — — Bipolar Disorder 0.97 0.61, 1.56 0.69 0.33, 1.44 1.04 0.58, 1.86 PTSD 0.30† 0.21, 0.43 0.41† 0.24, 0.69 1.28 0.85, 1.92 Depression 0.25† 0.18, 0.35 0.35† 0.21, 0.58 1.22 0.82, 1.82
  • 22. Other Anxiety Disorder 0.32* 0.15, 0.70 0.35 0.09, 1.27 2.01 0.99, 4.09 *p < 0.01. †p < 0.001. ‡p < 0.05. CI = confidence interval, IT = incentive therapy, OR = odds ratio, OIF/OEF/OND = Operation Iraqi Freedom, Operation Enduring Freedom, Operation New Dawn, PTSD = posttraumatic stress disorder, ref = reference, SE = supported employment, TW = transitional work, Voc Assist = vocational assistance. 408 JRRD, Volume 51, Number 3, 2014 409 ABRAHAM et al. Psychiatric diagnoses and employment services with VHA users with schizophrenia, VHA users with PTSD, depression, and other anxiety disorders were less likely to receive SE than TW. VHA users who received IT as compared with TW were more likely to be 45 yr or older than to be 18–44 yr old. VHA users who received IT as compared with TW were also less likely to be black or of Hispanic ethnicity. Finally, VHA users with psychiatric diagnoses of PTSD or depression as compared with VHA users with schizo- phrenia were less likely to receive IT than TW. VHA users who received Voc Assist as compared
  • 23. with TW were less likely to be black or have an unknown race and less likely to have an indication of homeless- ness. Conversely, VHA users who were service con- nected (at any percentage) were more likely to receive Voc Assist compared with TW. Compared with VHA users with schizophrenia, VHA users with bipolar disor- der, PTSD, and depression were no more or less likely to receive Voc Assist compared with TW. Table 4 illustrates the predicted probabilities for receiving specific types of employment services among VHA users with psychiatric diagnoses who received any employment service (n = 2,178) and whether these pre- dicted probabilities differed based on psychiatric diagno- sis, after adjusting for clinical and demographic factors. Regarding receipt of SE, the predicted probability of VHA users with schizophrenia receiving SE was 47.78 percent and was significantly higher than the pre- dicted probability of those with PTSD (22.77%), depres- sion (20.13%), or other anxiety disorders (20.37%) receiving SE (all p < 0.001). The predicted probability of VHA users with bipolar disorder receiving SE was 48.41 percent, which was not significantly different from that of VHA users with schizophrenia, and supplemental analyses (not shown) indicated VHA users with bipolar disorder were also more likely to receive SE than those with PTSD, depression, or other anxiety disorders. Fur- thermore, VHA users with PTSD or depression had sig- nificantly higher predicted probabilities (36.73% and 39.17%, respectively, p < 0.001) of receiving TW than VHA users with schizophrenia (23.87%). The predicted probabilities of VHA users with PTSD (7.26%, p = 0.05) or depression (6.62%, p < 0.05) receiving IT were signif- icantly lower than that of VHA users with schizophrenia (11.45%). The predicted probabilities of receiving Voc
  • 24. Assist services were significantly higher among VHA users with PTSD (33.24%), depression (34.07%), and other anxiety disorders (43.11%) compared with VHA users with schizophrenia (16.91%; all p < 0.001). DISCUSSION This study sought to describe the reach of employ- ment services to the population of VHA users with psy- chiatric diagnoses. Overall, findings suggest that only a small percentage of VHA users with psychiatric diagno- ses access employment services in a given year—a find- ing that is consistent with a prior report [17–19]. In this representative sample, VHA users with psychiatric diag- noses of schizophrenia had higher odds of accessing any employment services relative to VHA users with other psychiatric diagnoses, including PTSD, depression, and other anxiety disorders, but did not differ in their odds of accessing employment services as compared with VHA users with bipolar disorder. Despite differences in access- ing employment services based on psychiatric diagnosis, it is important to note that the percentage of VHA users who accessed employment services in 1 yr is relatively low across persons in all Table 4. Recycled predictions: Predicted probabilities of receipt of specific types of employment services. Psychiatric Diagnosis MarginSE TW IT Voc Assist Schizophrenia 47.78 23.87 11.45 16.91 Bipolar Disorder 48.41a 24.98a 8.36a 18.25a PTSD 22.77b 36.73c 7.26b 33.24c Depression 20.13b 39.17c 6.62b 34.07c Other Anxiety Disorder 20.37b 31.27a 5.25a 43.11c Note: Predicted probabilities (i.e., margins) are adjusted for all
  • 25. demographic and clinical variables displayed in Table 3. aNo significant difference vs schizophrenia. IT = incentive therapy, PTSD = posttraumatic stress disorder, SE = supported employment, TW = transitional work, Voc Assist = vocational assistance. psychiatric diagnostic categories 410 JRRD, Volume 51, Number 3, 2014 (range unadjusted: 1.5% [anxiety disorders other than PTSD] to 9.6% [bipolar disorder]; range adjusted for demographic and clinical variables: 2.3% [anxiety disor- ders other than PTSD] to 5.6% [schizophrenia and bipo- lar disorder]). Although VHA policy suggests that the scope of the TSES program is to provide employment services to all Veterans with psychiatric conditions who are interested in developing work-related skills [11], the present study findings suggest that the reach of employ- ment services to the population of Veterans with psychi- atric diagnoses in VHA is limited. Notably, among VHA users with psychiatric diagno- ses, those who were black, had a diagnosis of a substance use disorder, or had an indication of homelessness were more likely to receive employment services. Given that people who are black [32] or have substance use disor- ders [33] generally face higher rates of unemployment, it is encouraging that VHA users with psychiatric diagno- ses and these sociodemographic characteristics were
  • 26. more likely to access employment services. Yet, while individuals with these sociodemographic characteristics were more likely to receive employment services, they were less likely to receive SE as compared with TW. This is of particular concern because SE is an evidence-based practice for obtaining employment and TW is not. Rea- sons for this disparity in receiving evidence-based employment services require further investigation before they can be effectively addressed. It is possible that there may be limited availability of SE in VHA facilities in particular geographic regions that serve higher propor- tions of Veterans who are black, homeless, or have a sub- stance use disorder. A recent independent evaluation indicated some degree of variability in the extent to which Veterans received SE across VHA regions [24]. Alternatively, biases in clinical judgment with regard to which Veterans might benefit from evidence-based ser- vices could be investigated as a potential barrier to accessing SE. Whether the size and availability of exist- ing employment service programs across the VHA or mental health service providers’ expectations [34–35] are associated with the reach of employment services in gen- eral or evidence-based employment services specifically are important areas of future study. Our finding that VHA users with a service-connected disability of 50 percent or higher were less likely to access employment services is consistent with prior research [22]. Notably, our data suggest that having a ser- vice-connected disability of less than 50 percent was not associated with a lower likelihood of receiving employ- ment services. This is consistent with a recent finding that service-connected disabilities of 50 percent or higher (but not necessarily lower levels) were associated with unemployment and not looking for employment [23].
  • 27. Regulations associated with loss of Social Security Administration medical and financial benefits due to employment may act as a disincentive to return to com- petitive employment [36–37], though perhaps only at higher levels of service-connected disability [35]. Although Department of Veterans Affairs (VA) benefits are not reduced due to income earned through VHA employment services, whether the perception of a loss of VA benefits acts as a disincentive to even seeking VHA employment services is an important research and policy consideration. Educating clinicians and patients about these issues could help to increase rates of participation in VHA employment services. Present study analyses also indicated that among VHA users who accessed employment services, those with schizophrenia or bipolar disorder were more likely to receive SE, while those with PTSD or depression were more likely to receive TW or Voc Assist. The majority of research supporting the effectiveness of SE was con- ducted in samples of people with psychotic or mood dis- orders [13] and VHA guidelines suggest that a minimum of 75 percent of Veterans enrolled in SE should be indi- viduals with psychosis [25]; thus, it is not surprising that VHA users with schizophrenia or bipolar disorder were more likely to access SE. Moreover, it is possible that VHA users with less severe mental health conditions require less intensive employment services. Little is known, however, regarding the type(s) of employment services that are preferred or most effective among Veter- ans with diagnoses of depression, PTSD, or other anxiety disorders. The single randomized controlled trial of TW among VHA patients found it did not improve competi- tive employment among Veterans with nonpsychotic psy- chiatric diagnoses and comorbid substance use disorders, though Veterans who received TW were more likely to
  • 28. engage in paid activity and work more hours through the program than those who received standard job placement [38]. Additionally, since a variety of services could be encompassed by Voc Assist, it is unclear whether the employment services and strategies Veterans receive are effective. Given TW and/or Voc Assist services are most likely to reach VHA users with PTSD, depression, and other 411 ABRAHAM et al. Psychiatric diagnoses and employment services anxiety disorders, further study is needed to identify type(s) of employment services that will be most effective for these populations. A recent study of OIF/OEF Veter- ans referred for mental health assessment found that 59 percent were employed and that among those employed, psychiatric diagnoses of major depressive dis- order, other anxiety disorders, and PTSD were each asso- ciated with impaired work performance [39]. For Veterans with certain psychiatric diagnoses, it is possible that employment services that include improving work performance in existing jobs may be as relevant as employment services that focus on obtaining employ- ment. Importantly, a recent randomized controlled trial found SE efficacious in improving employment out- comes among unemployed Veterans with PTSD [40]. Moreover, SE services appear to be effective for OIF/ OEF Veterans with PTSD (see Twamley et al. [25] for a discussion). Hence, the availability of SE services for unemployed Veterans with PTSD may be critical for
  • 29. improving employment outcomes. LIMITATIONS Reliance on administrative data limited the present analyses in that we were unable to ascertain VHA users’ current employment status and their desire for employ- ment or employment services [17] and their utilization of non-VHA employment services (including employment services or referrals provided through the Veterans Bene- fits Administration), which, along with other individual- level factors, would likely influence whether or not a Vet- eran attempted to access VHA employment services. Although prior research suggests psychiatric diagnosis can be validly ascertained from administrative data [26], it is possible that our use of administrative data to iden- tify diagnosis resulted in an underdetection of psychiatric conditions. Additionally, we did not assess receipt of employment services over time, but focused on the reach of services in a single year. Finally, since present analy- ses examined reach of employment services, rather than the degree of Veterans’ participation in, or the effective- ness, efficacy, or fidelity of such services, we selected a liberal operational definition of accessing employment services (i.e., receiving one visit of employment ser- vices). Of course, it is unlikely that one employment ser- vice visit would be sufficient in terms of addressing the employment needs of Veterans with psychiatric diagno- ses. Given the low rates of accessing even one employ- ment service-related visit, the number of patients who received potentially effective services was even smaller. Notably, in supplemental analyses (not shown) we used another standard definition of meaningful participation in employment services [14] and found that only 1.9 per- cent of Veterans with psychiatric diagnoses received four
  • 30. or more visits of one specific type of employment service during FY2010. Similarly, the mutually exclusive hierarchy we used to define receipt of specific types of employment services was constructed to examine the relative percentage of VHA users who accessed only one visit of a particular type of service, beginning with SE. This method likely overestimates the percentage of Veterans who received multiple visits of SE, while underestimating the percent- age of Veterans who received multiple visits of TW, IT, or Voc Assist (see Resnick et al. [14] for an evaluation of VHA employment services that considers number of vis- its to SE and TW). Despite this, the present analyses offer an estimate of VHA users with psychiatric disabilities who did gain access to at least one visit of particular types of employment services. Future investigations regarding the reach of VHA employment services should examine with greater detail the various types of employ- ment services received by Veterans with psychiatric diag- noses, consider the number of Veterans who receive effective employment services, and identify what factors are associated with receiving effective services. CONCLUSIONS The present analyses extend the current literature in that they provide a population-based examination of the reach of VHA employment services for VHA users with psychiatric diagnoses. Only 4.2 percent of VHA users with psychiatric diagnoses accessed employment ser- vices during FY2010, suggesting potentially substantial unmet employment-related needs for VHA patients with a wide range of psychiatric conditions. Additionally, the majority of Veterans who receive employment services do not receive evidence-based services. Future investiga-
  • 31. tions are needed to identify factors at multiple ecological levels of analysis (e.g., regional, facility, provider, Vet- eran) associated with accessing employment services for Veterans with psychiatric diagnoses. Particular attention should be paid to the availability of evidence-based 412 JRRD, Volume 51, Number 3, 2014 employment services, namely supported employment, across VHA facilities. Given a protracted recession, a weak economy, and prior research illustrating high unemployment rates among Veterans with psychiatric diagnoses, this work highlights that as of FY2010, existing efforts to increase supply of and access to employment-related services for VHA patients with psychiatric diagnoses may have been insufficient to meet the demand for support. Notably these findings also highlight the importance of more recent VHA employment programs implemented after FY2010, including the Homeless Veterans Supported Employment Program and the Vocational Rehabilitation and Employment Vet Success Program, which target employment assistance to Veterans with histories of or at risk for homelessness and Veterans with service-connected disabilities who were recently separated from the military [41]. Although these programs do not specifically target Veterans with psychiatric diagnoses, certainly some Vet- erans with psychiatric diagnoses may benefit from them. Overall, the present study findings indicate that the reach of employment services to Veterans with psychiat-
  • 32. ric diagnoses is quite limited and suggest the VHA should consider expanding the availability of employ- ment services, particularly evidence-based employment services (i.e., SE). Such an expansion would represent a commitment to treatments that explicitly focus on improving the functioning of Veterans with psychiatric conditions and would be consistent with the VHA’s efforts to adopt recovery-oriented mental health services [42]. ACKNOWLEDGMENTS Author Contributions: Conceptualized research question: K. M. Abraham, K. Zivin. Contributed to study design: K. M. Abraham, K. Zivin, D. Ganoczy, S. G. Resnick. Data analysis: D. Ganoczy, M. Yosef. Data interpretation: D. Ganoczy, S. G. Resnick. Drafted manuscript: K. M. Abraham, K. Zivin. Edited manuscript: D. Ganoczy. Approved final manuscript: K. M. Abraham, K. Zivin, D. S. G. Resnick, M. Yosef. Financial Disclosures: The authors have declared that no competing interests exist. Funding/Support: Although the research presented here was not directly funded, Dr. Abraham’s work on this was supported, in part, by the VA Office of Academic Affiliations, Advanced Fellowship Pro- gram in Mental Illness Research and Treatment. Dr. Zivin’s work was supported by the VA, VHA, Health Services Research and Develop-
  • 33. ment Service (grants IIR 10-176-3 and CDA 2 07-206-1). Additional Contributions: The authors thank Erin Miller for her assistance in preparing this manuscript. Institutional Review: Analyses were approved by VA Ann Arbor Institutional Review Board. Disclaimer: The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the VA. REFERENCES 1. Jans L, Stoddard S, Kraus L. Chartbook on mental health and disability in the United States. Washington (DC): Department of Education, National Institute on Disability and Rehabilitation Research; 2004. 2. Sturm R, Gresenz CR, Pacula RL, Wells KB. Datapoints: Labor force participation by persons with mental illness. Psychiatr Serv. 1999;50(11):1407. [PMID:10543847] 3. Macias C, DeCarlo LT, Wang Q, Frey J, Barreira P. Work interest as a predictor of competitive employment: Policy implications for psychiatric rehabilitation. Adm Policy Ment Health. 2001;28(4):279– http://dx.doi.org/10.1023/A:1011185513720 4. Shippee ND, Shah ND, Williams MD, Moriarty JP, Frye MA, Ziegenfuss JY. Differences in demographic composi- tion and in work, social, and functional limitations among the populations with unipolar depression and bipolar disor- der: Results from a nationally representative sample. http://dx.doi.org/10.1186/1477-7525-9-90 5. Kessler RC, Frank RG. The impact of psychiatric disorders
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  • 38. 28. Kilbourne AM, Morden NE, Austin K, Ilgen M, McCarthy JF, Dalack G, Blow FC. Excess heart-disease-related mor- tality in a national study of patients with mental disorders: Identifying modifiable risk factors. Gen Hosp Psychiatry. 2009;31(6):555– http://dx.doi.org/10.1016/j.genhosppsych.2009.07.008 29. Zivin K, Campbell DG, Lanto AB, Chaney EF, Bolkan C, Bonner LM, Miller EM, Valenstein M, Waltz TJ, Ruben- stein LV. Relationships between mood and employment over time among depressed VA primary care patients. Gen 414 JRRD, Volume 51, Number 3, 2014 Hosp Psychiatry. 2012;34(5):468–77. [ http://dx.doi.org/10.1016/j.genhosppsych.2012.05.008 30. Graubard BI, Korn EL. Predictive margins with survey data. Biometrics. 1999;55(2):652– http://dx.doi.org/10.1111/j.0006-341X.1999.00652.x 31. Kleinman LC, Norton EC. What’s the risk? A simple approach for estimating adjusted risk measures from non- linear models including logistic regression. Health Serv Res. 2009;44(1):288– http://dx.doi.org/10.1111/j.1475-6773.2008.00900.x 32. Bureau of Labor Statistics. Unemployment rate demo- graphics, September 2010 [Internet]. Washington (DC): Bureau of Labor Statistics. 2010 Sep [cited 2014 Apr 24].
  • 39. http://www.bls.gov/opub/ted/2010/ted_20101013.htm 33. Henkel D. Unemployment and substance use: A review of the literature (1990–2010). Curr Drug Abuse Rev. 2011; 4(1):4– http://dx.doi.org/10.2174/1874473711104010004 34. Casper ES, Carloni C. Assessing the underutilization of supported employment services. Psychiatr Rehabil J. 2007;30(3):182– http://dx.doi.org/10.2975/30.3.2007.182.188 35. Abraham KM, Stein CH. Case managers’ expectations about employment for people with psychiatric disabilities. Psychiatr Rehabil J. 2009;33(1):9–17. [P http://dx.doi.org/10.2975/33.1.2009.9.17 36. MacDonald-Wilson KL, Rogers ES, Ellison ML, Lyass A. A study of the social security work incentives and their relation to perceived barriers to work among persons with psychiatric disability. Rehabil Psychol. 2003;48(4):301– http://dx.doi.org/10.1037/0090-5550.48.4.301 37. O’Day B, Killeen M. Does U.S. Federal policy support employment and recovery for people with psychiatric dis- abilities? Behav Sci Law. 2002;20(6):559– [PMID:1246512 http://dx.doi.org/10.1002/bsl.514 38. Penk W, Drebing CE, Rosenheck RA, Krebs C, Van Ormer A, Mueller L. Veterans Health Administration transitional work experience vs. job placement in veterans with co- morbid substance use and non-psychotic psychiatric disor- ders. Psychiatr Rehabil J. 2010;33(4):297–
  • 40. http://dx.doi.org/10.2975/33.4.2010.297.307 39. Adler DA, Possemato K, Mavandadi S, Lerner D, Chang H, Klaus J, Tew JD, Barrett D, Ingram E, Oslin DW. Psy- chiatric status and work performance of veterans of Opera- tions Enduring Freedom and Iraqi Freedom. Psychiatr Serv. 2011;62(1):39– http://dx.doi.org/10.1176/appi.ps.62.1.39 40. Davis LL, Leon AC, Toscano R, Drebing CE, Ward LC, Parker PE, Kashner TM, Drake RE. A randomized con- trolled trial of supported employment among veterans with posttraumatic stress disorder. Psychiatr Serv. 2012;63(5): 464– http://dx.doi.org/10.1176/appi.ps.201100340 41. Department of Veterans Affairs. Homeless veterans: Employment programs [Internet]. Washington (DC): Department of Veterans Affairs; 2013 [updated 2012 Nov 27; cited 2014 Apr 25]. Available from: http://www.va.gov/ HOMELESS/employment_programs.asp 42. Goldberg RW, Resnick SG. US Department of Veterans Affairs (VA) efforts to promote psychosocial rehabilitation and recovery. Psychiatr Rehabil J. 2010;33(4):255– http://dx.doi.org/10.2975/33.4.2010.255.258 Submitted for publication May 8, 2013. Accepted in revised form October 21, 2013. This article and any supplementary material should be Abraham KM, Ganoczy D, Yosef M, Resnick SG, Zivin K. Receipt of employment services among Veterans Health Administration users with psychiatric diagnoses.
  • 41. J Rehabil Res Dev. 2014;51(3):401– http://dx.doi.org/10.1682/JRRD.2013.05.0114 ResearcherID/ORCID: Sandra G. Resnick, PhD: F-3883- 2014 This content is in the Public Domain. 1 3Title of PaperStudent NameCourse/Number Due Date Faculty Name Title of Paper Triple click your mouse anywhere in this paragraph to replace this text with your introduction. Often the most important paragraph in the entire essay, the introduction grabs the reader's attention—sometimes a difficult task for academic writing. When writing an introduction, some approaches are best avoided. Avoid starting sentences with “The purpose of this essay is . . .” or “In this essay I will . . .” or any similar flat announcement of your intention or topic. Read more: Center for Writing Excellence>Tutorials and Guides>Guidelines for Writing Academic Essays. Level One Heading Replace the level one heading with the words for your heading. The heading must be in bold font. Headings are a necessary part of helping your audience track the sub-topics discussed in the body of the essay or report.
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  • 43. Examples) to help format your source information into a reference entry. The reference page always begins on the top of the next page after the conclusion. simulation/images/blank.gif __MACOSX/simulation/images/._blank.gif simulation/images/supply_demand.gif __MACOSX/simulation/images/._supply_demand.gif simulation/images/topframe_01.gif __MACOSX/simulation/images/._topframe_01.gif simulation/images/topframe_02.gif __MACOSX/simulation/images/._topframe_02.gif simulation/images/topframe_03.gif __MACOSX/simulation/images/._topframe_03.gif simulation/images/topframe_04.gif __MACOSX/simulation/images/._topframe_04.gif simulation/images/topframe_05.gif __MACOSX/simulation/images/._topframe_05.gif __MACOSX/simulation/._images
  • 44. simulation/index.html Applying Supply and Demand Concepts In this simulation, the learner uses supply and demand curves to determine the equilibrium in the market for two-bedroom apartments on lease. The learner differentiates between movement along and shift of the demand and supply curves, and determines how equilibrium is re-established after one or both curves shift. __MACOSX/simulation/._index.html simulation/supply_demand/blank.html __MACOSX/simulation/supply_demand/._blank.html simulation/supply_demand/economics1_supply_demand.html __MACOSX/simulation/supply_demand/._economics1_supply_d emand.html simulation/supply_demand/economics1_supply_demand_frame. html __MACOSX/simulation/supply_demand/._economics1_supply_d emand_frame.html simulation/supply_demand/economics1_supply_demand_part1.s wf
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  • 55. } } } function MM_openNavWindow(theURL,winName) { courseUrl=theURL; window.open(courseUrl,winName,"status=0,toolbar=no,menuba r=0,location=no,titlebar=no,directories=no,scrollbars=no,resize =false,copyhistory=no,height=545,width=790,left=0,top=0"); } <!-- This code is for checking the right flash plugin --> var requiredVersion = 5; // version the user needs to view site (max is 5, min is 2) var useRedirect = true; // "true" loads new flash or non-flash page into browser // "false" embeds movie or alternate html code into current page
  • 56. // set next three vars if useRedirect is true... var noFlashPage = strNoFlashPageFilePath; // send user here if they don't have the plugin or we can't detect it var flash2Installed = false; // boolean. true if flash 2 is installed var flash3Installed = false; // boolean. true if flash 3 is installed var flash4Installed = false; // boolean. true if flash 4 is installed var flash5Installed = false; // boolean. true if flash 5 is installed var flash6Installed = false; // boolean. true if flash 6 is installed var flash7Installed = false; // boolean. true if flash 7 is installed var maxVersion = 7; // highest version we can actually detect var actualVersion = 0; // version the user really has var hasRightVersion = false; // boolean. true if it's safe to embed the flash movie in the page
  • 57. var jsVersion = 1.0; // the version of javascript supported // check the browser...we're looking for ie/win var isIE = (navigator.appVersion.indexOf("MSIE") != -1) ? true : false; // true if we're on ie var isWin = (navigator.appVersion.indexOf("Windows") != -1) ? true : false; // true if we're on windows // this is a js1.1 code block, so make note that js1.1 is supported. jsVersion = 1.1; // write vbscript detection if we're not on mac. if(isIE && isWin){ // don't write vbscript tags on anything but ie win document.write('<SCR' + 'IPT LANGUAGE=VBScript> n'); document.write('on error resume next n'); document.write('flash2Installed = (IsObject(CreateObject("ShockwaveFlash.ShockwaveFlash.2"))) n'); document.write('flash3Installed = (IsObject(CreateObject("ShockwaveFlash.ShockwaveFlash.3")))
  • 58. n'); document.write('flash4Installed = (IsObject(CreateObject("ShockwaveFlash.ShockwaveFlash.4"))) n'); document.write('flash5Installed = (IsObject(CreateObject("ShockwaveFlash.ShockwaveFlash.5"))) n'); document.write('flash6Installed = (IsObject(CreateObject("ShockwaveFlash.ShockwaveFlash.6"))) n'); document.write('flash7Installed = (IsObject(CreateObject("ShockwaveFlash.ShockwaveFlash.7"))) n'); document.write('</SCR' + 'IPT> n'); // break up end tag so it doesn't end our script } // next comes the standard javascript detection that uses the navigator.plugins array // we pack the detector into a function so it loads before we run it function detectFlash(){ if (navigator.plugins){
  • 59. // does navigator.plugins exist? if (navigator.plugins["Shockwave Flash 2.0"] // yes>> then is Flash 2 || navigator.plugins["Shockwave Flash"]){ // or flash 3+ installed? // set convenient references to flash 2 and the plugin description var isVersion2 = navigator.plugins["Shockwave Flash 2.0"] ? " 2.0" : ""; var flashDescription = navigator.plugins["Shockwave Flash" + isVersion2].description; // a flash plugin-description looks like this: Shockwave Flash 4.0 r5 // so we can get the major version by grabbing the character before the period // note that we don't bother with minor version detection. do that in your movie with $version var flashVersion = parseInt(flashDescription.charAt(flashDescription.indexOf(".") - 1)); // we know the version, now set appropriate version flags flash2Installed = flashVersion == 2;
  • 60. flash3Installed = flashVersion == 3; flash4Installed = flashVersion == 4; flash5Installed = flashVersion == 5; flash6Installed = flashVersion == 6; flash7Installed = flashVersion == 7; } } // loop through all versions we're checking, and set actualVersion to highest detected version for (var i = 2; i <= maxVersion; i++) { if (eval("flash" + i + "Installed") == true) actualVersion = i; } // we're finished getting the version. time to take the appropriate action //alert("actualVersion="+actualVersion + " requiredVersion="+ requiredVersion) if (actualVersion < requiredVersion)
  • 61. { // user has a no plugin/old version of plugin hasRightVersion = true; msg=window.open(noFlashPage,"msg","height=500,width=500,l eft=0,top=0"); } } detectFlash(); // call our detector now that it's safely loaded. // --> <!-- Plugin check over --> // to minimize the window function minimizeWindow() { window.blur(); }
  • 62. // to close the window function closeWindow() { top.window.close(); } __MACOSX/simulation/supply_demand/._simulation.js __MACOSX/simulation/._supply_demand __MACOSX/._simulation