George S.
Yacoubian, Jr., Ph.D.[1]
Eric D. Wish,
Ph.D.
International Journal of Drug
Testing Volume 3
http://www.criminology.fsu.edu/journal/Yacoubian-Wish.htm
To date,
few field studies have compared oral fluid (OF) analysis to urinalysis. In the current pilot study, urine and OF
specimens were collected from 163 adult intensive outpatient and methadone
maintenance treatment clients in
Keywords: Drug surveillance, Kappa, OF analysis, treatment clients, urinalysis
Introduction
Research
subjects under criminal justice supervision underreport their recent use of
illicit drugs (Yacoubian 2000; Wish et al. 1997; Harrison 1995; Mieczkowski
et al. 1991). To address this underreporting, biological
specimens are often collected as objective measures of recent drug use. While urinalysis is generally recognized as
the industry standard, a variety of drug testing technologies have been
developed within the past few years. One
of these innovations – oral fluid (OF) testing – may offer researchers an
acceptable alternative to urinalysis because the detection period for both
measures is approximately 48 hours (Cone 1993).
To date, however, few field tests have compared OF analysis to
urinalysis (Wish & Yacoubian 2002; Yacoubian et al. 2001; Niedbala et al.
2001b, a; Moore et al. 2001; Speckl et al. 1999).
To assess the accuracy of opiate
detection, Speckl et al. (1999) collected 130 urine and OF specimens from
patients participating in drug withdrawal therapy. The concordance of OF analysis to urinalysis
for opiate detection was 98% (Speckl et al. 1999). Yacoubian et al. (2001) collected urine and
OF specimens from 114 adult male arrestees in Anne Arundel, Charles, and
Urinalysis is used routinely with
treatment clients to monitor illicit drug use.
Depending on the treatment program, a positive urine test may mean an
increased treatment regimen or potential sanctioning by the criminal justice
system. Given these consequences, the
need to explore objective measures of illicit drug use in treatment settings is
critical. The current pilot study
collected urine and OF specimens from a sample of 163 adult treatment clients
in
1)
Would treatments clients who provided a
urine specimen also provide an OF specimen?
2)
How did results from the IOSCD compare to
those from urinalysis?
The
Baltimore Substance Abuse System (BSAS) funds and manages all drug treatment
programs in
Clients were approached
for inclusion in the study as they reported to the facilities for
treatment. After the mandatory urine
specimen was collected, facility staff members requested an OF specimen. Clients were told that the purpose of the
study was to compare OF analysis to urinalysis and that their participation was
completely voluntary and confidential.
If the clients agreed to participate, they initialed a consent form. Facility staff members then signed the
consent form to indicate that they had read the consent form to the treatment
clients and had informed them of all of their rights. Demographic information (age, sex, and
race) was collected from official records and recorded on a code sheet. The Institutional Review Board (IRB) for
Human Subjects at the
Urine specimens were
shipped directly by the facility to their standard laboratory[2]
and screened by the Enzyme Multiplied Immunoassay Test (EMIT) for amphetamines,
benzodiazepines, marijuana, metabolite (crack and powder) cocaine, methadone,
and opiates. Cutoff levels were 300
ng/ml for amphetamines, 100 ng/ml for marijuana, and 300 ng/ml for
benzodiazepines, cocaine, methadone, and opiates. The OF specimens were shipped to a different
laboratory[3]
and screened by the Enzyme Linked Immunosorbent Assay (ELISA) for the same six
drugs at comparable cutoff levels.
Because the standard BSAS procedures do not involve confirmation of
urinalysis results, no confirmation tests were performed in the current study
with either urinalysis or OF analysis.
While we recognize the lack of confirmation procedures precludes any
general conclusions about the overall accuracy of either the EMIT or ELISA, and
thereby a comparison between the two, our primary objective in the current
study was assessing the technologies as they are used with
To confirm the comparability of cutoff levels between the IOSCD and the laboratory urinalysis, clinical studies have been conducted for accuracy (OraSure Technologies 2003). For each of the six drugs under scrutiny, the manufacturer made comparisons between urinalysis and the IOSCD at the respective cutoff levels identified above. Percent agreements between the two measures were greater than 97% for each of the drugs (OraSure Technologies 2003). These data suggest that the urinalysis and IOSCD cutoff levels were comparable for amphetamines, benzodiazepines, cocaine, methadone, opiates, and marijuana.
Data analysis was accomplished in three phases.[4] First, participation rates were calculated. Second, descriptive statistics were computed. Third, results from the IOSCD were compared to those from urinalysis. Kappa statistics were computed and tests for specificity and sensitivity were conducted using urinalysis as the reference standard. Because only one amphetamine-positive was detected by urinalysis, analyses were conducted only with benzodiazepines, cocaine, marijuana, methadone, and opiates.
Of the 192
treatment clients who provided the mandatory urine specimen, 88% (n=169) provided an OF specimen. Unfortunately, three OF specimens were of
insufficient quantity to analyze and three urinalysis results were misplaced by
one of the treatment facilities. Statistical
analyses for the current study were thus conducted on the 163 clients for whom
both OF analysis and urinalysis results were available.
As shown in
Table 1, a majority of the sample was male (62%), black (76%), and over the age
of 39 (59%). The mean age of the sample
was approximately 43 years old. A
majority (60%) of the sample were outpatient residential clients.
Table 1. Demographic Characteristics
(n=163)
Characteristic
|
Frequency
|
Gender
Male
|
62% |
Race
Black White |
76% 24% |
|
Age Under 21 21-29 30-39 Over 39 |
2% 7% 32% 59% 42.8 |
|
Treatment Modality Outpatient Residential |
60% 40% |
The
established method for evaluating the accuracy of a measurement tool is to determine
its sensitivity and specificity compared to a reference standard (Lilienfield
et al. 1994). In the current study,
urinalysis was the reference standard and the IOSCD was the tool being
evaluated. Sensitivity is the percentage of all persons with the condition (a
positive OF test) who were correctly identified as having the condition based
on the reference standard (urinalysis). Specificity is the percentage of all
persons who did not have the condition (according to the reference standard)
who were correctly identified by the test as being free of the condition. The higher the sensitivity and specificity,
the greater the accuracy of the tool.
As shown in Table 2, the results from
urinalysis and OF analysis
were within four percentage points for all of the drugs. With laboratory urinalysis as the reference
standard, the IOSCD was 100%
sensitive and 92% specific for methadone, 82% sensitive and 96% specific for
cocaine, 83% sensitive and 99% specific for opiates, and 100% sensitive and
100% specific for benzodiazepines. For
marijuana, the IOSCD was 39% sensitive and 93% specific. Kappa, which
measures the agreement between the evaluations of two raters (urinalysis and OF analysis) when both are rating the same object (recent
drug use), is considered an appropriate measure of agreement when the time
periods covered by both are similar (Magura & Kang 1996). The kappa
statistics ranged from a low of .30 for marijuana to a high of 1.00 for
benzodiazepines. With the exception of
marijuana, the kappa statistics suggest moderate to strong agreement between
the urinalysis and OF analysis results.
|
|
Urinalysis |
IOSCD Analysis |
IOSCD Sensitivity |
IOSCD Specificity |
Kappa |
Drug
Cocaine Opiates Marijuana Benzodiazepines Positive for at least one drug (of 5) |
44% 24% 18% 8% 4% 66% |
48% 23% 16% 9% 4% 70% |
100% 82% 83% 39% 100% 95% |
92% 96% 99% 93% 100% 80% |
.91 .79 .87 .30 1.00 .77 |
As shown in
Table 3, the overall agreement between urinalysis and OF analysis ranged from a
low of 89% (marijuana) to a high of 100% (benzodiazepines). Most of the errors occurred with marijuana
(18) and cocaine (12). For example,
there were seven clients who were cocaine-positive by urinalysis, but
cocaine-negative by OF analysis. These
seven clients would thus have avoided detection had OF analysis alone been
used. There were also five clients who
were cocaine-negative by urinalysis, but cocaine-positive by OF analysis. These five clients would have avoided
detection for cocaine had urinalysis alone been used.
|
|
UA+/ OF- |
UA-/ OF+ |
UA+/OF+ or UA-/OF- |
Percent Agreement |
Drug
Cocaine Opiates Marijuana Benzodiazepines Positive for at least one drug (of 5) |
0 7 5 8 0 5 |
7 5 1 10 0 11 |
156 151 157 145 163 147 |
96% 93% 96% 89% 100% 90% |
Urine and
OF specimens were collected from 163 adult treatment clients in
Three limitations should
be noted. First, the current data come solely from adult intensive
outpatient and methadone maintenance treatment clients in a high cocaine- and heroin-using
jurisdiction. Because of the chronic and
serious drug use that characterizes this population (Wish et al. 1997), our findings
may not apply to other populations (e.g., juvenile treatment clients). We recommend replicating the current study
with additional drug-using populations to assess generalizability.
Second, the relatively small sample size, and the small
number of subjects in the marijuana- and benzodiazepine-positive cells,
suggests that our results should be viewed cautiously. While researchers typically do not report
findings with cells less than 25,
providing the kappa statistics and the sensitivity and specificity
coefficients was warranted because of the pilot nature of the study. That said, future research should involve
larger samples sizes to increase our confidence in the results.
Third, the current study was only a comparison
between the urinalysis EMIT and the IOSCD ELISA. Because no confirmation techniques [e.g., gas
chromatography/mass spectrometry (GC/MS)] were used, the current study is not a
comparison of urinalysis to OF testing per se. It is important to stress, however, that the
purpose of the current study was to compare the IOSCD to urinalysis as it is
currently used by Baltimore City (and presumably other) treatment
facilities. Because the programs
studied do not confirm their urinalysis results and because we had a limited
budget for this pilot study, we were unable to confirm either of the two
specimens by GC/MS. Future research
should confirm both urine and OF specimens in order to assess the accuracy of
the two tests. This caveat aside, the
strength of our study is its ability to show how drug test results would have
changed had the programs used the IOSCD in lieu of urinalysis to screen their
clients.
In addition to these empirical findings, anecdotal reports from both interview staff and treatment clients indicated that the IOSCD was preferable to urine collection because of its ease of use and storage and its minimal personal invasiveness. Moreover, the expenditures of urinalysis and the IOSCD are comparable – both cost approximately $10 per specimen, depending on volume.
The number of clients with false-positive and false-negative results may be a concern for treatment providers and policymakers. There are serious ramifications for false-positive and false-negative results. False-positive results may result in a criminal justice system violation or treatment consequences, while false-negative results mean that continued drug use or relapse would be missed by treatment personnel. After considering issues of personal invasiveness, ease of collection, cost, accuracy, and any consequences associated with false-positive or false-negative results, drug treatment personnel and local policymakers will have to determine if these rates of agreement are high enough to consider replacing or augmenting urinalysis with OF analysis.
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[1] George
S. Yacoubian, Jr., is an associate research scientist with the Pacific
Institute for Research Evaluation (PIRE) in Calverton, MD, a lecturer in the
Department of Sociology at Catholic University of America (CUA), with the
School of Undergraduate Studies at the University of Maryland University
College (UMUC), with the Criminal Justice Institute of