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Schizophrenia Research 70 (2004) 331–342<br />

www.elsevier.com/locate/schres<br />

<strong>Cognitive</strong> <strong>and</strong> <strong>cl<strong>in</strong>ical</strong> <strong>predictors</strong> <strong>of</strong> <strong>success</strong> <strong>in</strong> <strong>vocational</strong><br />

rehabilitation <strong>in</strong> schizophrenia<br />

Jovier D. Evans a, *, Gary R. Bond a , Piper S. Meyer a,b , Hea Won Kim a,f ,<br />

Paul H. Lysaker c,d , P. Joseph Gibson e , S<strong>and</strong>ra Tunis e<br />

a Department <strong>of</strong> Psychology, Indiana University-Purdue University Indianapolis (IUPUI), LD 124, 402 N. Blackford Street, Indianapolis,<br />

IN 46202-3275, USA<br />

b Cecil G. Sheps Center for Health Services Research, University <strong>of</strong> North Carol<strong>in</strong>a at Chapel Hill, Chapel Hill, NC, USA<br />

c Roudebush VA Medical Center, Indianapolis, IN, USA<br />

d Indiana University School <strong>of</strong> Medic<strong>in</strong>e, USA<br />

e Eli Lilly & Company, USA<br />

f School <strong>of</strong> Social Work, Indiana University, USA<br />

Received 28 May 2003; received <strong>in</strong> revised form 5 January 2004; accepted 12 January 2004<br />

Available onl<strong>in</strong>e 19 March 2004<br />

Abstract<br />

<strong>Cognitive</strong> impairments <strong>in</strong> schizophrenia appear to be associated with social problem solv<strong>in</strong>g, social <strong>and</strong> <strong>vocational</strong><br />

function<strong>in</strong>g, <strong>and</strong> psychosocial skill acquisition. The present study exam<strong>in</strong>ed the relationship <strong>of</strong> cognitive function<strong>in</strong>g, as well as<br />

<strong>cl<strong>in</strong>ical</strong> symptoms, to <strong>vocational</strong> outcomes among <strong>in</strong>dividuals with schizophrenia. One hundred <strong>and</strong> twelve participants with<br />

DSM-IV schizophrenia spectrum diagnoses underwent a comprehensive neuropsychiatric evaluation after enroll<strong>in</strong>g <strong>in</strong> one <strong>of</strong><br />

several employment programs. The neuropsychological evaluation exam<strong>in</strong>ed verbal learn<strong>in</strong>g <strong>and</strong> memory, attention, speed <strong>of</strong><br />

<strong>in</strong>formation process<strong>in</strong>g, <strong>and</strong> executive function<strong>in</strong>g. Cl<strong>in</strong>ical symptoms were evaluated with the Positive <strong>and</strong> Negative Syndrome<br />

Scale (PANSS). Vocational outcomes were assessed 4 months after basel<strong>in</strong>e assessment <strong>and</strong> <strong>in</strong>cluded both measures <strong>of</strong><br />

employment outcome (e.g., earn<strong>in</strong>gs) <strong>and</strong> <strong>of</strong> work performance as assessed by the Work Behavior Inventory (WBI). Negative<br />

symptoms, learn<strong>in</strong>g <strong>and</strong> memory performance, process<strong>in</strong>g speed, <strong>and</strong> executive function<strong>in</strong>g were related to hours, weeks, <strong>and</strong><br />

wages earned on the job. Stepwise multiple regression analyses found that among basel<strong>in</strong>e <strong>cl<strong>in</strong>ical</strong> <strong>and</strong> cognitive <strong>predictors</strong>,<br />

only verbal learn<strong>in</strong>g <strong>and</strong> memory <strong>and</strong> cognitive disorganization symptoms were significant <strong>predictors</strong> <strong>of</strong> work behaviors 4<br />

months later. Learn<strong>in</strong>g <strong>and</strong> memory were the only significant <strong>predictors</strong> <strong>of</strong> <strong>in</strong>tegrated employment at 4 months. These results<br />

suggest specific aspects <strong>of</strong> cognition may be modestly predictive <strong>of</strong> <strong>vocational</strong> outcomes.<br />

D 2004 Elsevier B.V. All rights reserved.<br />

Keywords: Schizophrenia; Neuropsychology; Vocational outcomes; Symptoms<br />

1. Introduction<br />

* Correspond<strong>in</strong>g author. Tel.: +1-317-274-2283; fax: +1-317-<br />

274-6756.<br />

E-mail address: jevans2@iupui.edu (J.D. Evans).<br />

<strong>Cognitive</strong> impairments are ga<strong>in</strong><strong>in</strong>g attention for<br />

their possible role <strong>in</strong> the social <strong>and</strong> occupational<br />

deficits that accompany schizophrenia. Recent re-<br />

0920-9964/$ - see front matter D 2004 Elsevier B.V. All rights reserved.<br />

doi:10.1016/j.schres.2004.01.011


332<br />

J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342<br />

views <strong>of</strong> the literature have suggested these cognitive<br />

impairments as ‘‘rate-limit<strong>in</strong>g’’ factors <strong>in</strong> <strong>success</strong> <strong>in</strong><br />

both social <strong>and</strong> occupational doma<strong>in</strong>s <strong>of</strong> outcome<br />

(Green, 1996; Green et al., 2000). Several l<strong>in</strong>es <strong>of</strong><br />

<strong>in</strong>vestigation <strong>in</strong>to adaptive function <strong>in</strong> schizophrenia<br />

have documented relationships between cognitive<br />

function<strong>in</strong>g <strong>and</strong> performance <strong>of</strong> everyday activities<br />

(Brekke et al., 1997; Green, 1996; Harvey et al.,<br />

1998). Specifically, these studies have noted that executive<br />

function<strong>in</strong>g abilities, verbal memory, <strong>and</strong> vigilance<br />

are related to work performance, social<br />

function<strong>in</strong>g, <strong>and</strong> perform<strong>in</strong>g basic self-care activities.<br />

Several dimensions <strong>of</strong> adaptive function have been<br />

studied <strong>in</strong> relationship to cognitive performance, <strong>in</strong>clud<strong>in</strong>g<br />

work performance <strong>and</strong> occupational goals<br />

(Bell <strong>and</strong> Lysaker, 1995; Lysaker et al., 1995a,b), social<br />

skills performance (Corrigan <strong>and</strong> Green, 1993; Patterson<br />

et al., 1997; Smith et al., 1999), <strong>and</strong> community<br />

outcomes (Brekke et al., 1997; Green et al., 2000).<br />

Most <strong>of</strong> this work has found that cognitive function is<br />

associated with concurrent measures <strong>of</strong> adaptive function<br />

such as work performance; however, relatively few<br />

studies have attempted to exam<strong>in</strong>e the predictive utility<br />

<strong>of</strong> cognitive performance on future <strong>vocational</strong> <strong>success</strong>.<br />

Bellack et al. (1999) found that cognitive function<strong>in</strong>g<br />

was related to competitive employment among a<br />

group <strong>of</strong> psychiatric outpatients. Specifically, process<strong>in</strong>g<br />

speed <strong>and</strong> social judgment were related to good<br />

<strong>vocational</strong> outcomes among a large community sample.<br />

Other studies have also found significant relationships<br />

among work outcomes <strong>and</strong> performance on<br />

neuropsychological tests. Results <strong>of</strong> these studies<br />

have determ<strong>in</strong>ed that aspects <strong>of</strong> adaptive function<strong>in</strong>g<br />

are multi-determ<strong>in</strong>ed <strong>and</strong> as such are necessarily<br />

associated with multiple doma<strong>in</strong>s <strong>of</strong> cognitive ability<br />

(Bryson et al., 1998; Velligan et al., 2000a).<br />

McGurk <strong>and</strong> Meltzer (2000) have exam<strong>in</strong>ed the<br />

relationship <strong>of</strong> both cognitive <strong>and</strong> <strong>cl<strong>in</strong>ical</strong> doma<strong>in</strong>s to<br />

<strong>vocational</strong> outcomes <strong>and</strong> have found that cognitive<br />

function<strong>in</strong>g was associated with employment status.<br />

Specifically, full-time employment was associated<br />

with better performance on measures <strong>of</strong> executive<br />

function<strong>in</strong>g, work<strong>in</strong>g memory, <strong>and</strong> vigilance, compared<br />

to unemployed participants. This study also<br />

found that poor premorbid function (as assessed by<br />

educational level), negative symptoms, <strong>and</strong> cognitive<br />

impairments were significantly related to employment<br />

<strong>success</strong> among people with schizophrenia. Gold et al.<br />

(2002) found that among clients enrolled <strong>in</strong> a <strong>vocational</strong><br />

program who achieved employment, several<br />

different measures <strong>of</strong> cognitive performance were<br />

related to the total number <strong>of</strong> hours <strong>of</strong> employment.<br />

However, cognitive measures did not predict who<br />

would work at all. This study suggests that cognitive<br />

measures are most predictive <strong>of</strong> employment outcomes<br />

among those who are motivated enough to<br />

start a job.<br />

A recent study by McGurk et al. (2003) suggests<br />

that the type <strong>of</strong> <strong>vocational</strong> <strong>in</strong>terventions <strong>and</strong> supports<br />

that are given to clients <strong>in</strong>fluences the relationship<br />

between cognitive impairment <strong>and</strong> work outcomes.<br />

She found that <strong>in</strong>dividuals with cognitive impairments<br />

were capable <strong>of</strong> competitive employment, but that<br />

they required more <strong>in</strong>tervention by the <strong>vocational</strong> staff<br />

than less impaired clients. Therefore, the relationship<br />

between cognitive function <strong>and</strong> measures <strong>of</strong> employment<br />

outcomes (e.g., atta<strong>in</strong>ment <strong>of</strong> a competitive job,<br />

hours worked, <strong>and</strong> job tenure) may be moderated by<br />

the level <strong>of</strong> support <strong>and</strong> other factors, such as employer<br />

accommodation <strong>of</strong> work limitations (McGurk<br />

et al., 2003). Other researchers have concluded that an<br />

effective goal <strong>of</strong> rehabilitation programs might best be<br />

directed toward teach<strong>in</strong>g clients compensatory strategies<br />

for their cognitive deficits rather than try<strong>in</strong>g to<br />

directly remediate these deficits (Velligan et al.,<br />

2000b).<br />

Another type <strong>of</strong> <strong>vocational</strong> measure concerns actual<br />

behavior <strong>in</strong> the work place or observed <strong>in</strong> pre<strong>vocational</strong><br />

work sett<strong>in</strong>gs (e.g., work quality <strong>and</strong><br />

quantity, punctuality, dependability, cooperativeness,<br />

etc.). These measures <strong>of</strong> work performance may be<br />

more proximally related to cognitive status <strong>and</strong> be<br />

measured <strong>in</strong> non-paid work situations, rather than<br />

employment status measures (i.e., gett<strong>in</strong>g a job, hours<br />

worked, job tenure, etc.) that may be more dependent<br />

on external factors outside <strong>of</strong> the <strong>in</strong>dividual. For<br />

example, the benevolence <strong>of</strong> the employer, economic<br />

conditions, <strong>and</strong> work accommodations made at the job<br />

may determ<strong>in</strong>e employment status. Bell <strong>and</strong> Bryson<br />

(2001) found that neuropsychological performance<br />

was significantly associated with work performance<br />

<strong>and</strong> was moderately predictive <strong>of</strong> improvements <strong>in</strong><br />

work performance for participants <strong>in</strong> a 6-month <strong>vocational</strong><br />

rehabilitation program. Specifically, aspects<br />

<strong>of</strong> attention, executive function<strong>in</strong>g, <strong>and</strong> work<strong>in</strong>g<br />

memory were related to improvements <strong>in</strong> performance


J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342 333<br />

at work. In addition, <strong>cl<strong>in</strong>ical</strong> symptoms were not<br />

predictive <strong>of</strong> these improvements. A recent study by<br />

these researchers found that aspects <strong>of</strong> attention were<br />

related to <strong>in</strong>itial improvements <strong>in</strong> work performance<br />

<strong>and</strong> learn<strong>in</strong>g, <strong>and</strong> memory was related to later<br />

improvements <strong>in</strong> work performance <strong>in</strong> this same 6-<br />

month rehabilitation program (Bryson <strong>and</strong> Bell,<br />

2003). It may be that cognitive measures are more<br />

closely l<strong>in</strong>ked to actual performance on the job than to<br />

employment outcomes. Research has also shown that<br />

supervisor rat<strong>in</strong>gs <strong>of</strong> work performance are related to<br />

employment outcomes (Bond <strong>and</strong> Friedmeyer, 1987;<br />

Bryson et al., 1999).<br />

The purpose <strong>of</strong> the present study is to exam<strong>in</strong>e the<br />

predictive ability <strong>of</strong> basel<strong>in</strong>e neuropsychological performance<br />

<strong>and</strong> <strong>cl<strong>in</strong>ical</strong> symptoms on the <strong>vocational</strong><br />

outcomes <strong>of</strong> a group <strong>of</strong> schizophrenia spectrum clients<br />

enrolled <strong>in</strong> <strong>vocational</strong> services who were participat<strong>in</strong>g<br />

<strong>in</strong> a longitud<strong>in</strong>al study compar<strong>in</strong>g the effects <strong>of</strong><br />

atypical neuroleptic medications with traditional medications.<br />

In addition, we exam<strong>in</strong>ed both employment<br />

outcomes (e.g., hours worked) as well as research staff<br />

rat<strong>in</strong>gs <strong>of</strong> behaviors. We hypothesized that better<br />

<strong>cl<strong>in</strong>ical</strong> symptom control <strong>and</strong> neuropsychological performance<br />

at basel<strong>in</strong>e would be correlated with <strong>and</strong><br />

predictive <strong>of</strong> better <strong>vocational</strong> outcomes 4 months<br />

later.<br />

2. Method<br />

2.1. Subjects<br />

The sample consisted <strong>of</strong> 112 clients recruited as<br />

part <strong>of</strong> a longitud<strong>in</strong>al study to exam<strong>in</strong>e the effects <strong>of</strong><br />

atypical antipsychotic medications on <strong>vocational</strong> rehabilitation<br />

outcomes (Bond et al., <strong>in</strong> press). Inclusion<br />

criteria for the study were as follows: (1) diagnosis <strong>of</strong><br />

schizophrenia spectrum disorders based on DSM-IV<br />

criteria <strong>and</strong> confirmed with the Structured Cl<strong>in</strong>ical<br />

Interview for DSM-IV Axis I Disorders (SCID-I,<br />

Research Version); (2) stable phase <strong>of</strong> disorder as<br />

def<strong>in</strong>ed as hav<strong>in</strong>g no hospitalizations, changes <strong>in</strong><br />

hous<strong>in</strong>g, or changes <strong>in</strong> medication with<strong>in</strong> the past<br />

month; (3) no diagnosis <strong>of</strong> mental retardation, neurological<br />

disorder, or <strong>in</strong>sult to the bra<strong>in</strong> that might affect<br />

their cognitive performance; (4) unemployed at time<br />

<strong>of</strong> program admission; (5) between the ages <strong>of</strong> 18 <strong>and</strong><br />

64; (6) expressed a goal <strong>of</strong> paid employment <strong>and</strong><br />

currently prescribed an antipsychotic medication. On<br />

average, participants were 40 years old, had 12.6<br />

years <strong>of</strong> education (range 6–20), had 7.0 lifetime<br />

psychiatric hospitalizations (S.D. = 10.7), <strong>and</strong> were<br />

ill for a mean <strong>of</strong> 16.5 years (S.D. = 10.4). Most<br />

participants were male (60.7%). The sample consisted<br />

<strong>of</strong> primarily African-American (44.0%) <strong>and</strong> Caucasian<br />

(52.0%) clients.<br />

All clients were prescribed one or more antipsychotic<br />

medications, <strong>in</strong>clud<strong>in</strong>g 14.0% on a traditional<br />

antipsychotic <strong>and</strong> 54.2% were receiv<strong>in</strong>g an atypical<br />

neuroleptic <strong>and</strong> 31.8% receiv<strong>in</strong>g a comb<strong>in</strong>ation. There<br />

were generally no associations between type <strong>of</strong> medication<br />

<strong>and</strong> any <strong>of</strong> the predictor or outcome measures,<br />

so medications were not used as a statistical control <strong>in</strong><br />

the current study.<br />

2.2. Procedures<br />

Study participants were recruited from among<br />

new admissions to day programs at five sites <strong>of</strong><br />

Thresholds <strong>in</strong> Chicago (N = 83), <strong>and</strong> four community<br />

mental health centers <strong>in</strong> Indianapolis (N = 29) from<br />

March 1999 to January 2001. Thresholds is a psychiatric<br />

rehabilitation agency provid<strong>in</strong>g <strong>in</strong>tensive<br />

<strong>vocational</strong> services <strong>in</strong> a stepwise manner, <strong>in</strong>clud<strong>in</strong>g<br />

unpaid work crews, group <strong>and</strong> <strong>in</strong>dividual placements<br />

arranged between Thresholds <strong>and</strong> employers,<br />

enclaves, agency-run bus<strong>in</strong>esses, <strong>and</strong> <strong>in</strong>dependent<br />

jobs. This <strong>vocational</strong> model has been dubbed the<br />

‘‘diversified placement approach’’ (DPA) (Koop et<br />

al., <strong>in</strong> press). The Indiana programs used an <strong>in</strong>dividual<br />

placement model <strong>of</strong> supported employment,<br />

although not strictly adher<strong>in</strong>g to all the pr<strong>in</strong>ciples<br />

<strong>of</strong> evidence-based supported employment (Bond et<br />

al., 2001). A m<strong>in</strong>ority (N = 18) <strong>of</strong> study participants<br />

from Thresholds also received <strong>in</strong>dividual placement<br />

supported employment <strong>in</strong> lieu <strong>of</strong> the stepwise <strong>vocational</strong><br />

services. Because <strong>of</strong> the differences <strong>in</strong> the<br />

program philosophies, the study sample was divided<br />

<strong>in</strong>to two subsamples: DPA (N = 65) <strong>and</strong> supported<br />

employment (N = 47) for some analyses.<br />

Clients giv<strong>in</strong>g <strong>in</strong>formed consent were enrolled <strong>in</strong><br />

the study with<strong>in</strong> 120 days <strong>of</strong> admission to Thresholds<br />

or to the Indianapolis programs. Diagnosis was confirmed<br />

us<strong>in</strong>g either the Structured Cl<strong>in</strong>ical Interview<br />

for DSM-IV (SCID-I) (First et al., 1995) or the


334<br />

J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342<br />

computerized version <strong>of</strong> the Composite International<br />

Diagnostic Interview (CIDI-A) (World Health Organization,<br />

1997a,b). Participants then completed a<br />

comprehensive evaluation that <strong>in</strong>cluded an exam<strong>in</strong>ation<br />

<strong>of</strong> <strong>cl<strong>in</strong>ical</strong> symptoms, neuropsychological performance,<br />

side effect rat<strong>in</strong>g scales, <strong>and</strong> rat<strong>in</strong>gs <strong>of</strong><br />

<strong>vocational</strong> performance. For the current study, client<br />

<strong>vocational</strong> outcomes were exam<strong>in</strong>ed 4 months after<br />

the <strong>in</strong>itial basel<strong>in</strong>e assessments. Interviewers complet<strong>in</strong>g<br />

the diagnostic assessments, <strong>cl<strong>in</strong>ical</strong> rat<strong>in</strong>gs, <strong>and</strong><br />

neuropsychological assessments were tra<strong>in</strong>ed <strong>and</strong> supervised<br />

by licensed <strong>cl<strong>in</strong>ical</strong> psychologists (JDE <strong>and</strong><br />

PHL) familiar with the <strong>in</strong>struments.<br />

2.3. Measures<br />

Cl<strong>in</strong>ical rat<strong>in</strong>gs <strong>of</strong> symptoms: The Positive <strong>and</strong><br />

Negative Syndrome Scale (PANSS; Kay et al.,<br />

1987) is a 30-item rat<strong>in</strong>g scale completed by tra<strong>in</strong>ed<br />

research staff. Scores for positive, negative, cognitive<br />

disorganization, emotional discomfort, <strong>and</strong> hostility/<br />

excitement symptoms were derived from factor-derived<br />

scor<strong>in</strong>g published by Bell et al. (1994). Internal<br />

consistency rat<strong>in</strong>gs ranged from a = 0.40 for hostility<br />

symptoms to 0.73 for negative symptoms. The<br />

PANSS total score a = 0.79.<br />

Neuropsychological evaluation: All participants<br />

completed a brief neuropsychological evaluation.<br />

The follow<strong>in</strong>g is a list<strong>in</strong>g <strong>of</strong> neuropsychological<br />

measures grouped by the cognitive doma<strong>in</strong> that each<br />

is <strong>in</strong>tended to measure.<br />

Learn<strong>in</strong>g: California Verbal Learn<strong>in</strong>g Test (CVLT;<br />

Delis et al., 1987; Norman et al., 2000) Monday total<br />

trials 1–5.<br />

Secondary verbal memory: CVLT short-delay free<br />

recall <strong>and</strong> long-delay free recall; percent retention<br />

((long-delay free recall raw score/Monday trial<br />

5 raw score) 100).<br />

Executive function<strong>in</strong>g: Wiscons<strong>in</strong> Card Sort<strong>in</strong>g<br />

Test—perseverative responses, <strong>and</strong> categories correct<br />

(WCST; Heaton et al., 1993), <strong>and</strong> Part B <strong>of</strong> the<br />

Trailmak<strong>in</strong>g Test (Reitan <strong>and</strong> Wolfson, 1993).<br />

Short-term memory: WAIS-III Digit Span subtest<br />

(Wechsler, 1997).<br />

Speed <strong>of</strong> <strong>in</strong>formation process<strong>in</strong>g/psychomotor<br />

speed: WAIS-III Digit Symbol, WAIS-III Symbol<br />

Search subtests (Wechsler, 1997), <strong>and</strong> Part A <strong>of</strong> the<br />

Trailmak<strong>in</strong>g Test (Reitan <strong>and</strong> Wolfson, 1993).<br />

Raw scores <strong>of</strong> the neuropsychological tests were<br />

converted <strong>in</strong>to age-corrected scaled scores with a<br />

mean <strong>of</strong> 10 <strong>and</strong> a st<strong>and</strong>ard deviation <strong>of</strong> 3 (WAIS-III<br />

scores) or demographically corrected T-scores with a<br />

mean <strong>of</strong> 50 <strong>and</strong> a st<strong>and</strong>ard deviation <strong>of</strong> 10 (CVLT,<br />

WCST, <strong>and</strong> Trailmak<strong>in</strong>g test) scores (Heaton et al.,<br />

1993; Norman et al., 2000).<br />

Work performance: The Work Behavior Inventory<br />

(WBI; Bryson et al., 1997) is a st<strong>and</strong>ardized work<br />

performance assessment <strong>in</strong>strument specifically<br />

designed for people with severe mental illness. The<br />

<strong>in</strong>strument is a 36-item <strong>in</strong>ventory with five subscales<br />

<strong>and</strong> one global item: Cooperativeness, Work habits,<br />

Work quality, Social skills, <strong>and</strong> Personal presentation.<br />

Each scale comprises 7 items <strong>in</strong>dividually assessed on<br />

a 5-po<strong>in</strong>t scale where ‘‘1’’ represents ‘‘consistently<br />

<strong>in</strong>ferior performance’’ <strong>and</strong> ‘‘5’’ represents ‘‘consistently<br />

superior performance.’’ The range for each<br />

subscale score ranges from 7 to 35. A total score is<br />

calculated as the sum <strong>of</strong> the five subscale scores<br />

(range <strong>of</strong> scores from 7 to 175). Participants <strong>in</strong><br />

appropriate work sett<strong>in</strong>gs were rated by a research<br />

assistant who was tra<strong>in</strong>ed by one <strong>of</strong> the developers <strong>of</strong><br />

this scale (PHL) <strong>and</strong> who followed the author’s<br />

rat<strong>in</strong>gs protocol, mak<strong>in</strong>g direct observation <strong>of</strong> each<br />

client’s behavior at the work site <strong>and</strong> conduct<strong>in</strong>g a<br />

brief <strong>in</strong>terview with their immediate supervisor. WBI<br />

rat<strong>in</strong>gs were completed on only those clients <strong>in</strong><br />

employment <strong>and</strong> pre<strong>vocational</strong> work sett<strong>in</strong>gs <strong>in</strong> which<br />

a research assistant could directly observe work behavior.<br />

This requirement excluded some competitive<br />

jobs. The WBI rat<strong>in</strong>gs were limited to the Thresholds<br />

DPA sample. Mean substitution <strong>of</strong> the WBI scores<br />

were used for miss<strong>in</strong>g data po<strong>in</strong>ts (less than 5% <strong>of</strong> all<br />

responses) <strong>in</strong> the follow<strong>in</strong>g analyses. The WBI had<br />

excellent <strong>in</strong>ternal consistency <strong>in</strong> this sample (WBI<br />

total score a = 0.97; Social skills a = 0.89; Cooperativeness<br />

a = 0.84; Work habits a = 0.93; Work quality<br />

a = 0.96; Personal presentation a = 0.89).<br />

Employment outcome measures: Employment status<br />

at follow-up was coded accord<strong>in</strong>g to a modified<br />

version <strong>of</strong> the Work Placement Scale (Meyer et al.,<br />

2002), consist<strong>in</strong>g <strong>of</strong> a 5-po<strong>in</strong>t gradient: (5) <strong>in</strong>tegrated<br />

employment, which <strong>in</strong>cluded both competitive employment<br />

(a regular community job, with non-disabled<br />

coworkers, pay<strong>in</strong>g m<strong>in</strong>imum wage), <strong>and</strong><br />

<strong>in</strong>dividual placement (agency-contracted community<br />

job), (4) group placement: paid community job at a


J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342 335<br />

site work<strong>in</strong>g alongside other clients, or an agency-run<br />

bus<strong>in</strong>ess: paid work activity at a bus<strong>in</strong>ess owned <strong>and</strong><br />

run by the rehabilitation agency, (3) sheltered workshop/volunteer<br />

work: paid work activity licensed by<br />

the Department <strong>of</strong> Labor <strong>and</strong> paid on a piece-rate<br />

basis, or unpaid work activity <strong>in</strong> a community employment<br />

site, (2) pre<strong>vocational</strong> tra<strong>in</strong><strong>in</strong>g: unpaid<br />

work tra<strong>in</strong><strong>in</strong>g at the rehabilitation agency, <strong>and</strong> (1)<br />

unemployed: not engaged <strong>in</strong> any <strong>vocational</strong> activity.<br />

Higher scores reflect more <strong>in</strong>dependent employment<br />

activity. Other employment outcome measures <strong>in</strong>cluded<br />

weeks worked, total hours worked, <strong>and</strong> total wages<br />

earned dur<strong>in</strong>g follow-up.<br />

2.4. Statistical methods<br />

Prior to analyses, data were exam<strong>in</strong>ed for normality<br />

<strong>and</strong> homogeneity <strong>of</strong> variance. The WBI outcome<br />

data met parametric assumptions. Violations <strong>of</strong> normality<br />

were noted <strong>in</strong> the PANSS negative, cognitive,<br />

<strong>and</strong> hostility factor scores, total wages earned, total<br />

hours <strong>and</strong> total weeks worked, as well as the WAIS-III<br />

digit symbol subtest scores <strong>in</strong>dicat<strong>in</strong>g moderate positive<br />

skew <strong>in</strong> these variables. However, parametric<br />

tests have been shown to be robust to violations <strong>of</strong><br />

non-normality; therefore, all analyses used parametric<br />

tests on untransformed variables (L<strong>in</strong>ton <strong>and</strong> Gallo,<br />

1975; Tabachnick <strong>and</strong> Fidell, 1996). Nevertheless, to<br />

confirm the robustness <strong>of</strong> the f<strong>in</strong>d<strong>in</strong>gs, we also conducted<br />

appropriate nonparametric tests (e.g., Spearman<br />

rank order correlations) <strong>and</strong> found a similar<br />

pattern <strong>of</strong> results. Employment status was exam<strong>in</strong>ed<br />

through two dichotomies: <strong>in</strong>tegrated employment vs.<br />

other <strong>and</strong> supported employment (SE) vs. diversified<br />

placement (DPA). This was done due to the different<br />

emphasis placed on approaches to job placement <strong>in</strong><br />

the two programs. We exam<strong>in</strong>ed all <strong>of</strong> the predictor<br />

<strong>and</strong> outcome variables by program (supported employment<br />

vs. diversified placement), <strong>and</strong> conducted<br />

all <strong>of</strong> the hypothesized analyses by program type. T-<br />

tests were conducted to compare the basel<strong>in</strong>e <strong>cl<strong>in</strong>ical</strong><br />

<strong>and</strong> cognitive <strong>predictors</strong> <strong>of</strong> those achiev<strong>in</strong>g <strong>in</strong>tegrated<br />

vs. non<strong>in</strong>tegrated employment. In addition, a series <strong>of</strong><br />

multivariate analyses <strong>of</strong> variance (MANOVAs) were<br />

run on the basel<strong>in</strong>e demographic, <strong>cl<strong>in</strong>ical</strong>, <strong>and</strong> neuropsychological<br />

variables to determ<strong>in</strong>e if there were any<br />

differences by program type. In addition, Pearson<br />

product moment correlations between the dependent<br />

variables (objective <strong>vocational</strong> data <strong>and</strong> WBI scores)<br />

<strong>and</strong> the <strong>in</strong>dependent variables (<strong>cl<strong>in</strong>ical</strong> rat<strong>in</strong>g scales<br />

<strong>and</strong> neuropsychological scores) were computed for<br />

the two employment programs. Independent variables<br />

hav<strong>in</strong>g significant or near-significant ( p < 0.2) correlations<br />

were entered <strong>in</strong>to multiple regression analyses<br />

to determ<strong>in</strong>e if the relationships persisted after simultaneous<br />

adjustment (Dales <strong>and</strong> Ury, 1978). An alpha<br />

level <strong>of</strong> 0.05(two-tailed) was used to def<strong>in</strong>e significance<br />

for all analyses.<br />

3. Results<br />

3.1. Basel<strong>in</strong>e characteristics<br />

Among demographic variables, there were no significant<br />

differences between the two groups <strong>in</strong> terms<br />

<strong>of</strong> age, education, or duration <strong>of</strong> illness. Both groups<br />

were about 39 years <strong>of</strong> age, had been ill about 16<br />

years, <strong>and</strong> completed about 12 years <strong>of</strong> school.<br />

There were also no differences <strong>in</strong> <strong>cl<strong>in</strong>ical</strong> or<br />

neuropsychological variables between the Thresholds<br />

program <strong>and</strong> the Indiana programs at basel<strong>in</strong>e<br />

(Table 1). The <strong>cl<strong>in</strong>ical</strong> rat<strong>in</strong>gs <strong>of</strong> illness at basel<strong>in</strong>e<br />

suggest that the participants had mild levels <strong>of</strong><br />

symptoms, as measured by the PANSS. In terms<br />

<strong>of</strong> cognitive performances at basel<strong>in</strong>e, the sample<br />

was mildly to moderately impaired across the various<br />

doma<strong>in</strong>s, (i.e., T-scores < 40). Specific deficits<br />

were seen <strong>in</strong> verbal learn<strong>in</strong>g <strong>and</strong> memory performances<br />

on the CVLT. Speed <strong>of</strong> <strong>in</strong>formation process<strong>in</strong>g<br />

was also moderately impaired compared to<br />

published normative data (Wechsler, 1997). There<br />

was a fair degree <strong>of</strong> variability <strong>in</strong> all symptom <strong>and</strong><br />

cognitive measures with<strong>in</strong> the population, provid<strong>in</strong>g<br />

good potential to detect how basel<strong>in</strong>e differences<br />

might affect outcomes.<br />

3.2. Vocational outcomes<br />

Four months <strong>in</strong>to the study, an exam<strong>in</strong>ation <strong>of</strong> the<br />

WPS found that there were significant differences <strong>in</strong><br />

work placements as a function <strong>of</strong> employment program.<br />

(See Table 2). The overall chi-square was<br />

significant for WPS placement by employment program<br />

(v 2 (4) = 37.4, p < 0.001). This is probably a<br />

consequence <strong>of</strong> the diversified placement approach


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J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342<br />

Table 1<br />

Cl<strong>in</strong>ical <strong>and</strong> neuropsychological performance at basel<strong>in</strong>e<br />

SE (N = 47)<br />

(M F S.D.)<br />

(DPA N = 65),<br />

(M F S.D.)<br />

PANSS subscales<br />

Positive 2.3 F 0.9 2.5 + 1.0<br />

Negative 1.6 F 0.5 1.9 + 0.7<br />

<strong>Cognitive</strong> 1.9 F 0.6 1.9 + 0.7<br />

Emotional discomfort 2.4 F 1.1 2.7 + 0.9<br />

Hostility/excitement 1.3 F 0.5 1.3 + 0.4<br />

PANSS total score 56.3 F 12.0 60.9 + 14.4<br />

Neuropsychological tests<br />

CVLT<br />

List A total T-score 28.9 F 9.9 29.4 + 9.3<br />

Short-delay free T-score 33.1 F 10.6 34.3 + 10.3<br />

Long-delay free T-score 33.2 F 9.8 33.4 + 9.7<br />

% retention score 79.8 F 36.9 82.1 + 32.7<br />

WCST perseverative<br />

30.5 F 11.9 31.5 + 11.4<br />

response T-score<br />

WCST categories correct 2.8 F 2.3 3.1 + 2.1<br />

Trails A T-score 38.9 F 9.8 35.9 + 11.6<br />

Trails B T-score 35.1 F 14.1 33.9 + 10.8<br />

Symbol search (SS) 6.7 F 2.8 5.8 + 2.9<br />

Digit symbol (SS) 5.9 F 2.0 5.6 + 2.1<br />

Digit span (SS) 8.2 F 2.5 8.5 + 2.9<br />

PANSS scores range from 1 –absent to 7 – extreme; neuropsychological<br />

T-scores have a mean <strong>of</strong> 50 <strong>and</strong> a 10-po<strong>in</strong>t st<strong>and</strong>ard<br />

deviation.; SS age-corrected scaled scores have a mean <strong>of</strong> 10 <strong>and</strong> a<br />

3-po<strong>in</strong>t st<strong>and</strong>ard deviation.<br />

PANSS = Positive <strong>and</strong> Negative Syndrome Scale; CVLT = California<br />

Verbal Learn<strong>in</strong>g Test; WCST = Wiscons<strong>in</strong> Card Sort<strong>in</strong>g Test;<br />

SS = age-corrected scaled scores.<br />

to employment emphasized at Thresholds. No significant<br />

differences were noted <strong>in</strong> hours, weeks, or wages<br />

earned among those clients work<strong>in</strong>g <strong>in</strong> the two programs.<br />

As a group, those clients employed at 4<br />

months worked an average <strong>of</strong> 19 h/week, <strong>and</strong> the<br />

median hourly wage was $6.38 (range $0.15–$9.35/<br />

h). The average number <strong>of</strong> paid weeks worked was<br />

8.15 (range 0–39), with total paid wages averag<strong>in</strong>g<br />

$890 (range 0–$5661) dur<strong>in</strong>g the 4-month <strong>in</strong>terval.<br />

In terms <strong>of</strong> those participants <strong>in</strong> <strong>in</strong>tegrated vs.<br />

non<strong>in</strong>tegrated placement, no significant differences<br />

were found <strong>in</strong> basel<strong>in</strong>e demographic or <strong>cl<strong>in</strong>ical</strong><br />

doma<strong>in</strong>s. In terms <strong>of</strong> neuropsychological performance,<br />

however, those <strong>in</strong> <strong>in</strong>tegrated work sett<strong>in</strong>gs<br />

had significantly better CVLT short-delay free recall<br />

(37.2 vs. 32.9, t(110) = 1.98, p = 0.05) <strong>and</strong> CVLT<br />

long-delay free recall (37.2 vs. 32.2, t(110) = 2.16,<br />

p = 0.033) at basel<strong>in</strong>e, compared to all other clients.<br />

An exam<strong>in</strong>ation by employment program found that<br />

<strong>in</strong>tegrated employment <strong>in</strong> the DPA programs was<br />

associated with better education (12.5 vs. 14.7,<br />

t(63) = 2.4, p = 0.02); lower hostility symptoms<br />

(1.36 vs. 1.0, t(55) = 6.3, p = 0.000); better CVLT<br />

Monday total recall (28.8 vs. 35, t(63) = 1.89, p =<br />

0.06); better CVLT short-delay recall (32.7 vs. 44.0,<br />

t(63) = 3.39, p = 0.001); <strong>and</strong> CVLT long-delay free<br />

recall (32.2 vs. 40.6, t(63) = 2.51, p = 0.015). However,<br />

none <strong>of</strong> these differences were significant <strong>in</strong> the<br />

supported employment programs.<br />

Work performance rat<strong>in</strong>gs were obta<strong>in</strong>ed for 49<br />

(75.3%) <strong>of</strong> 65 clients who were receiv<strong>in</strong>g <strong>vocational</strong><br />

services at 4 months <strong>in</strong> the DPA program (see Table<br />

3). These 49 participants were <strong>in</strong> the follow<strong>in</strong>g placements:<br />

7 were <strong>in</strong> <strong>in</strong>tegrated placements, 15 were <strong>in</strong><br />

group placements, <strong>and</strong> 27 were <strong>in</strong> sheltered workshops<br />

or pre<strong>vocational</strong> programs at Thresholds. There<br />

were no significant differences <strong>in</strong> WBI performance<br />

as a function <strong>of</strong> work level. Furthermore, among these<br />

clients, their work performance on the job was found<br />

to be consistent with published norms (e.g., with<strong>in</strong> 1<br />

st<strong>and</strong>ard deviation) suggest<strong>in</strong>g moderate to good work<br />

performance (Bryson et al., 1997).<br />

3.3. Correlates <strong>of</strong> work performance<br />

Given the differences <strong>in</strong> work level as a function<br />

<strong>of</strong> placement, we analyzed the correlates <strong>of</strong> performance<br />

by employment program. We first looked at<br />

three demographic variables. Of these variables,<br />

only the follow<strong>in</strong>g reached significance. For those<br />

clients <strong>in</strong> supported employment, age was positively<br />

related to weeks worked (r = 0.38). For the diversified<br />

placement sample, duration <strong>of</strong> illness was<br />

negatively associated with total paid wages (r =<br />

0.25, p = 0.051).<br />

Table 2<br />

Work placement scale scores by employment program<br />

Vocational level SE program DPA program<br />

Integrated employment 12 (25.5%) 9 (13.8%)<br />

Group placement 0 (0.0%) 17 (26.2%)<br />

Sheltered workshops 3 (6.4%) 13 (20.0%)<br />

Pre<strong>vocational</strong> crews 7 (14.9%) 19 (29.2%)<br />

Unemployed 25 (53.2%) 7 (10.8%)<br />

SE = supported employment; DPA= diversified placement approach.


J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342 337<br />

Table 3<br />

WBI scores at 4 months<br />

WBI subscales a<br />

All clients<br />

(N = 49)<br />

(M F S.D.)<br />

Integrated employment<br />

(N =7) (M F S.D.)<br />

Group placement<br />

(N = 15) (M F S.D.)<br />

Sheltered workshop<br />

(N = 27) (M F S.D.)<br />

Work habits 25.0 F 6.7 25.9 F 5.6 27.5 F 4.9 23.3 F 7.7<br />

Personal presentation 25.7 F 5.3 26.3 F 2.2 26.7 F 4.9 25.0 F 6.0<br />

Work quality 24.1 F 6.5 23.9 F 4.2 24.5 F 5.8 23.9 F 7.5<br />

Social skills 21.6 F 5.7 23.0 F 4.4 22.7 F 4.2 21.0 F 6.5<br />

Cooperativeness 24.8 F 4.8 25.4 F 3.2 25.3 F 4.8 24.3 F 5.5<br />

WBI total score 121.2 F 25.2 124.4 F 17.1 126.7 F 20.8 117.6 F 29.6<br />

WBI = Work Behavior Inventory.<br />

a Range <strong>of</strong> subscales 7–35; higher scores = better performance.<br />

Pearson correlations between the 4-month employment<br />

outcomes <strong>and</strong> both the PANSS <strong>and</strong> neuropsychological<br />

scores are presented <strong>in</strong> Table 4. Altogether,<br />

5 <strong>of</strong> a possible 42 correlations were statistically significant<br />

for the supported employment sample. There<br />

was a trend for hostility symptoms on the PANSS to be<br />

negatively associated with wages earned. In terms <strong>of</strong><br />

neuropsychological variables, retention on the CVLT<br />

was positively associated with total hours worked, <strong>and</strong><br />

there was a trend for long-delay free recall to be related<br />

to hours on the job, as well. There was also a modest<br />

trend <strong>of</strong> worse performance on digit symbol be<strong>in</strong>g<br />

negatively related to total weeks worked.<br />

When exam<strong>in</strong><strong>in</strong>g the DPA group, however, a different<br />

pattern <strong>of</strong> results was seen. A total <strong>of</strong> 9 <strong>of</strong> a possible<br />

42 correlations were statistically significant. Specifically,<br />

negative symptoms were <strong>in</strong>versely related to total<br />

wages earned <strong>and</strong> total hours worked for this group.<br />

Table 4<br />

Correlations <strong>of</strong> 4-month work outcomes with basel<strong>in</strong>e <strong>cl<strong>in</strong>ical</strong> <strong>and</strong> neuropsychological variables<br />

SE N =47 DPA N =65<br />

Total weeks<br />

worked<br />

Total wages<br />

earned<br />

Total hours<br />

worked<br />

Total weeks<br />

worked<br />

Total wages<br />

earned<br />

Total hours<br />

worked<br />

PANSS subscales<br />

Positive 0.21 0.17 0.12 0.10 0.21 0.15<br />

Negative 0.43** 0.16 0.09 0.24 # 0.31* 0.25*<br />

<strong>Cognitive</strong> 0.05 0.07 0.16 0.09 0.18 0.14<br />

Emotional 0.18 0.18 0.03 0.11 0.09 0.04<br />

Hostility 0.21 0.28 # 0.23 0.20 0.08 0.21<br />

PANSS total 0.01 0.15 0.10 0.21 0.30* 0.24 #<br />

List A total T-score 0.11 0.12 0.10 0.27* 0.14 0.23 #<br />

Short-delay free T-score 0.06 0.05 0.10 0.24 # 0.11 0.27*<br />

Long-delay free T-score 0.04 0.10 0.28 # 0.17 0.11 0.17<br />

CVLT % retention score 0.09 0.25 0.30* 0.03 0.04 0.04<br />

WCST T-score 0.04 0.13 0.02 0.03 0.08 0.07<br />

WCST categories 0.04 0.22 0.04 0.12 0.09 0.10<br />

Trails A T-score 0.21 0.06 0.11 0.04 0.01 0.08<br />

Trails B T-score 0.06 0.08 0.12 0.19 0.13 0.11<br />

Symbol search (SS) 0.19 0.08 0.06 0.04 0.06 0.00<br />

Digit symbol (SS) 0.30 # 0.17 0.04 0.12 0.20 0.08<br />

Digit span (SS) 0.05 0.07 0.05 0.04 0.01 0.03<br />

SE = supported employment; DPA= diversified placement approach; PANSS = Positive <strong>and</strong> Negative Syndrome Scale; CVLT = California<br />

Verbal Learn<strong>in</strong>g Test; WCST = Wiscons<strong>in</strong> Card Sort<strong>in</strong>g Test; SS = age-corrected scaled scores.<br />

* p < 0.05.<br />

**p < 0.01.<br />

# trend p V 0.06.


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J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342<br />

Table 5<br />

Correlations between WBI scores <strong>and</strong> both <strong>cl<strong>in</strong>ical</strong> symptoms <strong>and</strong> neuropsychological variables (N = 49)<br />

Social skills Cooperativeness Work<br />

habits<br />

Work<br />

quality<br />

Personal<br />

presentation<br />

WBI total<br />

PANSS subscales<br />

Positive 0.02 0.07 0.08 0.04 0.13 0.04<br />

Negative 0.24 0.12 0.07 0.16 0.08 0.12<br />

<strong>Cognitive</strong> 0.38** 0.37** 0.15 0.34* 0.07 0.30*<br />

Emotional 0.03 0.01 0.01 0.02 0.06 0.00<br />

Hostility 0.16 0.26 0.10 0.01 0.02 0.11<br />

PANSS total 0.25 0.24 0.06 0.16 0.08 0.14<br />

List A total T-score 0.26 0.35* 0.38** 0.25 0.20 0.33*<br />

Short-delay free T-score 0.12 0.30* 0.37** 0.24 0.18 0.29*<br />

Long-delay free T-score 0.13 0.34* 0.40** 0.32* 0.28* 0.34*<br />

CVLT % retention 0.04 0.17 0.26 0.24 0.36** 0.25<br />

WCST T-score 0.16 0.06 0.13 0.06 0.29* 0.16<br />

WCST categories 0.19 0.06 0.06 0.10 0.18 0.13<br />

Trails A T-score 0.04 0.20 0.22 0.13 0.17 0.17<br />

Trails B T-score 0.04 0.12 0.09 0.04 0.00 0.07<br />

Symbol search (SS) 0.04 0.28* 0.28 # 0.21 0.12 0.22<br />

Digit symbol (SS) 0.02 0.11 0.15 0.09 0.04 0.10<br />

Digit span (SS) 0.14 0.25 0.11 0.17 0.09 0.17<br />

WBI = Work Behavior Inventory; PANSS = Positive <strong>and</strong> Negative Syndrome Scale; CVLT = California Verbal Learn<strong>in</strong>g Test; WCST = Wiscons<strong>in</strong><br />

Card Sort<strong>in</strong>g Test; SS = age-corrected scaled scores.<br />

**p < 0.01.<br />

# non significant trend, p-value = 0.054.<br />

There was also a trend for more negative symptoms to<br />

be associated with fewer weeks on the job. In addition,<br />

the PANSS total score was associated with total wages<br />

earned. In terms <strong>of</strong> cognitive performance, both learn<strong>in</strong>g<br />

<strong>and</strong> short-delay free recall on the CVLT were<br />

significantly related to total weeks worked. There<br />

was also evidence for both <strong>of</strong> these measures to be<br />

related to total hours on the job as well.<br />

With<strong>in</strong> the DPA sample, the correlations <strong>of</strong> both<br />

<strong>cl<strong>in</strong>ical</strong> symptom scores <strong>and</strong> neuropsychological variables<br />

with the WBI subscales are presented <strong>in</strong> Table<br />

5. The cognitive subscale <strong>of</strong> the PANSS was significantly<br />

related to the social skills, cooperativeness,<br />

<strong>and</strong> work quality subscales <strong>of</strong> the WBI, as well as the<br />

WBI total score. In addition, perseverative responses,<br />

learn<strong>in</strong>g <strong>and</strong> memory, <strong>and</strong> speed <strong>of</strong> <strong>in</strong>formation process<strong>in</strong>g<br />

were related to performance on the WBI (see<br />

Table 5). The WBI scores at 4 months were not related<br />

to hours, weeks, or wages earned <strong>in</strong> this sample.<br />

3.4. Prediction <strong>of</strong> WBI scores <strong>and</strong> occupational status<br />

In order to determ<strong>in</strong>e the relative importance <strong>of</strong> the<br />

<strong>cl<strong>in</strong>ical</strong> <strong>and</strong> neuropsychological variables, we conducted<br />

a multiple regression analysis with the total<br />

WBI score as the dependent variable (see Table 6). We<br />

used a stepwise analysis with the follow<strong>in</strong>g variables<br />

as <strong>predictors</strong> <strong>in</strong> the analysis: PANSS cognitive <strong>and</strong><br />

negative subscale scores, learn<strong>in</strong>g <strong>and</strong> memory variables<br />

(Monday total T, both short-delay <strong>and</strong> longdelay<br />

free recall T-scores; % retention), perseverative<br />

Table 6<br />

Prediction <strong>of</strong> WBI total score at 4 months<br />

Variables to enter Beta Step 2 beta<br />

CVLT long-delay T score 0.36* 0.37*<br />

PANSS cognitive score 0.35*<br />

R 2 0.132 0.257<br />

R 2 change 0.125<br />

F(1,42) 6.39*<br />

F(2,41) 7.09**<br />

N = 44.<br />

WBI = Work Behavior Inventory; PANSS = Positive <strong>and</strong> Negative<br />

Syndrome Scale; CVLT = California Verbal Learn<strong>in</strong>g Test;<br />

WCST = Wiscons<strong>in</strong> Card Sort<strong>in</strong>g Test; SS = age-corrected scaled<br />

scores.<br />

* p < 0.05.<br />

**p < 0.01.


J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342 339<br />

responses from the WCST, <strong>and</strong> a composite process<strong>in</strong>g<br />

speed variable (mean <strong>of</strong> WAIS Digit Symbol,<br />

Symbol Search, <strong>and</strong> Trails A scores). This found a<br />

significant model ( F(2,41) = 7.09, p = 0.002), account<strong>in</strong>g<br />

for 22% <strong>of</strong> the variance, with the cognitive<br />

subscale <strong>of</strong> the PANSS <strong>and</strong> the CVLT long-delay free<br />

recall score as the only significant <strong>predictors</strong> <strong>of</strong> WBI<br />

total score performance 4 months later. We then ran<br />

stepwise analyses us<strong>in</strong>g the CVLT variables, the<br />

process<strong>in</strong>g speed composite score <strong>and</strong> PANSS<br />

cognitive subscales as <strong>predictors</strong> <strong>in</strong> each <strong>of</strong> the<br />

WBI subscales.<br />

In the stepwise analyses, significant results were<br />

seen <strong>in</strong> the WBI work quality, social skills, work<br />

habits, <strong>and</strong> cooperativeness subscales. The multiple<br />

Rs ranged from 0.44 (work habits) to 0.53 (cooperativeness)<br />

account<strong>in</strong>g for 18–25% <strong>of</strong> the variance <strong>in</strong><br />

these functional parameters. Exam<strong>in</strong>ation <strong>of</strong> the <strong>in</strong>dividual<br />

weights among tests suggested differential<br />

contributions <strong>of</strong> cognitive abilities <strong>and</strong> <strong>cl<strong>in</strong>ical</strong> symptoms<br />

<strong>in</strong> each <strong>of</strong> these doma<strong>in</strong>s. Specifically, both<br />

PANSS cognitive disorganization symptoms <strong>and</strong><br />

long-delayed recall predicted uncooperativeness <strong>and</strong><br />

poor work quality. PANSS cognitive disorganization<br />

symptoms were the only significant predictor <strong>of</strong> poor<br />

social skills <strong>and</strong> poor work habits.<br />

Given these f<strong>in</strong>d<strong>in</strong>gs, we next tried to predict<br />

employment outcomes us<strong>in</strong>g significant basel<strong>in</strong>e demographic,<br />

<strong>cl<strong>in</strong>ical</strong>, <strong>and</strong> neuropsychological variables.<br />

We used the <strong>in</strong>tegrated vs. non<strong>in</strong>tegrated<br />

employment categories <strong>and</strong> ran a logistic regression<br />

analysis to predict group membership (N = 96). We<br />

entered <strong>predictors</strong> <strong>in</strong> blocks, with age, duration <strong>of</strong><br />

illness, education, <strong>and</strong> gender entered first, followed<br />

by PANSS negative <strong>and</strong> cognitive symptoms <strong>in</strong> the<br />

second block, <strong>and</strong> f<strong>in</strong>ally the CVLT measures, process<strong>in</strong>g<br />

speed composite score, <strong>and</strong> WCST perseverative<br />

response T-score. The overall model was<br />

significant (v 2 = 23.7, p = 0.014), <strong>and</strong> the significant<br />

<strong>predictors</strong> <strong>in</strong> the f<strong>in</strong>al equation <strong>in</strong>cluded education<br />

(Wald = 5.44, df =1, p = 0.020), the learn<strong>in</strong>g <strong>in</strong>dex<br />

(Monday total trials 1–5 T-score) from the CVLT<br />

(Wald = 5.32, df =1,p = 0.021), <strong>and</strong> CVLT long-delay<br />

free recall (Wald =4.60, df =1, p = 0.032 ). However,<br />

the improvement <strong>in</strong> classification rate was modest<br />

(from 80.2% at step 1 to 81.3% at step 3). None <strong>of</strong><br />

the <strong>cl<strong>in</strong>ical</strong> symptoms as assessed by the PANSS were<br />

significant <strong>in</strong> the model.<br />

4. Discussion<br />

The results <strong>of</strong> the present study found modest<br />

evidence for the relationship <strong>of</strong> better neuropsychological<br />

performance be<strong>in</strong>g predictive <strong>of</strong> <strong>vocational</strong><br />

outcomes among clients with schizophrenia receiv<strong>in</strong>g<br />

comprehensive <strong>vocational</strong> rehabilitation services. We<br />

found that among aspects <strong>of</strong> work behavior, verbal<br />

learn<strong>in</strong>g <strong>and</strong> memory performance, speed <strong>of</strong> <strong>in</strong>formation<br />

process<strong>in</strong>g, executive function<strong>in</strong>g, <strong>and</strong> cognitive<br />

disorganization symptoms were predictive <strong>of</strong> better<br />

employment outcomes. In addition, better learn<strong>in</strong>g<br />

<strong>and</strong> memory performances were predictive <strong>of</strong> objective<br />

measures <strong>of</strong> work status, namely, <strong>in</strong>tegrated vs.<br />

non<strong>in</strong>tegrated employment. Furthermore, among both<br />

programs, aspects <strong>of</strong> learn<strong>in</strong>g <strong>and</strong> memory were<br />

associated with hours, weeks, <strong>and</strong> wages earned.<br />

The most <strong>in</strong>terest<strong>in</strong>g f<strong>in</strong>d<strong>in</strong>g, however, was that these<br />

relationships were more prom<strong>in</strong>ent <strong>in</strong> the diversified<br />

placement approach than compared to the supported<br />

employment program.<br />

We found a significant difference <strong>in</strong> basel<strong>in</strong>e neuropsychological<br />

performance on the CVLT as a function<br />

<strong>of</strong> work outcome. Those people who achieved<br />

employment <strong>in</strong> <strong>in</strong>tegrated placements had performed<br />

slightly better on this measure <strong>of</strong> cognitive performance<br />

than those who were not <strong>in</strong> <strong>in</strong>tegrated sett<strong>in</strong>gs.<br />

However, we did not f<strong>in</strong>d any other significant differences<br />

<strong>in</strong> basel<strong>in</strong>e <strong>cl<strong>in</strong>ical</strong> or neuropsychological doma<strong>in</strong>s<br />

as a function <strong>of</strong> employment status. This is<br />

consistent with the pattern <strong>of</strong> f<strong>in</strong>d<strong>in</strong>gs <strong>in</strong> two recent<br />

studies <strong>in</strong>volv<strong>in</strong>g clients enrolled <strong>in</strong> <strong>vocational</strong> programs<br />

(Gold et al., 2002; McGurk et al., 2003). We<br />

speculate that clients <strong>in</strong> the current study benefited<br />

from the structure <strong>and</strong> support <strong>of</strong> the <strong>vocational</strong><br />

services to the extent that they were <strong>success</strong>ful <strong>in</strong><br />

start<strong>in</strong>g some form <strong>of</strong> paid employment despite their<br />

level <strong>of</strong> cognitive impairment, but their actual performance<br />

on the job was more directly affected by<br />

cognitive impairments.<br />

The only relationships between the neuropsychological<br />

measures <strong>and</strong> employment outcome were seen<br />

<strong>in</strong> the doma<strong>in</strong>s <strong>of</strong> learn<strong>in</strong>g <strong>and</strong> memory, process<strong>in</strong>g<br />

speed, <strong>and</strong> executive function. Other studies have<br />

found that multiple aspects <strong>of</strong> cognition were related<br />

to improvements <strong>in</strong> work behaviors (Bell <strong>and</strong> Bryson,<br />

2001; Brekke et al., 1997; Green <strong>and</strong> Nuechterle<strong>in</strong>,<br />

1999; McGurk et al., 2003). Specficially, much <strong>of</strong> the


340<br />

J.D. Evans et al. / Schizophrenia Research 70 (2004) 331–342<br />

prior work found a relationship <strong>of</strong> executive function<strong>in</strong>g<br />

<strong>and</strong> verbal learn<strong>in</strong>g <strong>and</strong> memory to aspects <strong>of</strong><br />

<strong>vocational</strong> outcome (McGurk, 2000; McGurk et al.,<br />

2003).<br />

In terms <strong>of</strong> <strong>cl<strong>in</strong>ical</strong> correlates <strong>of</strong> <strong>vocational</strong> outcome,<br />

negative symptoms were related to total weeks<br />

worked, total hours, <strong>and</strong> total wages earned, <strong>and</strong><br />

hostility symptoms were modestly related to total<br />

wages earned. This is consistent with previous work<br />

(McGurk <strong>and</strong> Meltzer, 2000). However, we did not<br />

f<strong>in</strong>d that cognitive disorganization symptoms were<br />

related to other measures <strong>of</strong> <strong>vocational</strong> status. Furthermore,<br />

none <strong>of</strong> these <strong>cl<strong>in</strong>ical</strong> symptoms were<br />

predictive <strong>of</strong> <strong>in</strong>tegrated employment status 4 months<br />

later. This lack <strong>of</strong> a relationship was also seen <strong>in</strong> the<br />

Bryson <strong>and</strong> Bell (2003) study.<br />

Although the relationship <strong>of</strong> <strong>cl<strong>in</strong>ical</strong> <strong>and</strong> neuropsychological<br />

variables to employment status was modest,<br />

some relationships with work performance were<br />

strong. We found that better verbal memory, improved<br />

executive function<strong>in</strong>g, process<strong>in</strong>g speed, <strong>and</strong> less<br />

cognitive disorganization symptoms predicted aspects<br />

<strong>of</strong> behaviors on the job. Other studies have also found<br />

that neuropsychological performance was predictive<br />

<strong>of</strong> these work behaviors (Bell <strong>and</strong> Bryson, 2001;<br />

Bryson <strong>and</strong> Bell, 2003; Green et al., 2000; Lysaker<br />

et al., 1995a).<br />

The present f<strong>in</strong>d<strong>in</strong>gs suggest that cognitive abilities<br />

may be important to employment outcomes. In addition,<br />

the compensatory nature <strong>of</strong> the <strong>vocational</strong> rehabilitation<br />

program may lessen or ameliorate the<br />

negative impact <strong>of</strong> the cognitive deficits seen <strong>in</strong><br />

schizophrenia. It may be that once an <strong>in</strong>dividual<br />

obta<strong>in</strong>s a <strong>vocational</strong> placement, aspects <strong>of</strong> work<br />

behavior determ<strong>in</strong>e job tenure <strong>and</strong> ma<strong>in</strong>tenance. Another<br />

study found that the WBI was predictive <strong>of</strong> total<br />

hours worked on the job 6 months after leav<strong>in</strong>g a<br />

<strong>vocational</strong> rehabilitation program (Bryson et al.,<br />

1999). This suggests that the cognitive impairments<br />

have their greatest impact on these work behaviors,<br />

not on work status (Bryson <strong>and</strong> Bell, 2003; Gold et<br />

al., 2002).<br />

There are several limitations to the current study<br />

that should be addressed. First, although this is a<br />

predictive study, the length <strong>of</strong> follow-up is only 4<br />

months. Thus, the chance to secure employment was<br />

limited by sett<strong>in</strong>g issues <strong>and</strong> speed <strong>of</strong> placement. It<br />

should be noted, however, that 66% <strong>of</strong> the sample<br />

were engaged <strong>in</strong> some form <strong>of</strong> work activity, <strong>and</strong> at 4<br />

months, 37% were <strong>in</strong> fact, <strong>in</strong> paid employment sett<strong>in</strong>gs.<br />

A second limitation is the problem <strong>of</strong> alpha<br />

<strong>in</strong>flation <strong>and</strong> spurious correlation as a result <strong>of</strong> the<br />

large number <strong>of</strong> correlations. A third limitation is the<br />

restriction <strong>of</strong> range <strong>in</strong> symptoms, mak<strong>in</strong>g it difficult to<br />

f<strong>in</strong>d significant correlations between PANSS scores<br />

<strong>and</strong> <strong>vocational</strong> outcomes. The study sample is representative,<br />

however, <strong>of</strong> many stable, outpatient clients<br />

liv<strong>in</strong>g <strong>in</strong> the community.<br />

In conclusion, this study found modest support<br />

for a l<strong>in</strong>k between cognitive function<strong>in</strong>g <strong>and</strong> <strong>vocational</strong><br />

outcomes. This l<strong>in</strong>k was strongest between the<br />

more proximal measures <strong>of</strong> work performance <strong>and</strong><br />

barely present when exam<strong>in</strong><strong>in</strong>g the correlations with<br />

employment outcomes. Vocational services seem best<br />

equipped to help people get jobs, but do not necessarily<br />

help clients <strong>in</strong> the performance <strong>of</strong> their duties<br />

on the jobs. Therefore, these programs may not<br />

always succeed <strong>in</strong> help<strong>in</strong>g clients ma<strong>in</strong>ta<strong>in</strong> paid jobs<br />

once they have obta<strong>in</strong>ed them. Consequently, for<br />

clients with schizophrenia to succeed <strong>in</strong> the <strong>vocational</strong><br />

sphere, both elements are necessary: pr<strong>of</strong>essional<br />

support to f<strong>in</strong>d the jobs <strong>and</strong> the appropriate<br />

work behaviors <strong>and</strong> skills necessary to ma<strong>in</strong>ta<strong>in</strong> a<br />

competitive level <strong>of</strong> employment.<br />

Acknowledgements<br />

This work was supported by a grant from Eli Lilly<br />

<strong>and</strong> Company Pharmaceuticals. A prelim<strong>in</strong>ary version<br />

<strong>of</strong> this research was presented at the 2002 Annual<br />

Meet<strong>in</strong>g <strong>of</strong> the International Neuropsychological<br />

Society (Toronto, Canada). The authors wish to<br />

acknowledge the contributions <strong>of</strong> Marc Lauritano<br />

<strong>and</strong> Alan McGuire for their assistance with cod<strong>in</strong>g<br />

employment data, <strong>in</strong> addition to the numerous<br />

research assistants for their efforts <strong>in</strong> collection <strong>of</strong><br />

the data for this study.<br />

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