Psicothema
ISSN: 0214-9915
psicothema@cop.es
Universidad de Oviedo
España
Calvo, Natalia; Gutiérrez, Fernando; Casas, Miguel
Diagnostic agreement between the Personality Diagnostic Questionnaire-4+ (PDQ-4+) and its Clinical
Significance Scale
Psicothema, vol. 25, núm. 4, 2013, pp. 427-432
Universidad de Oviedo
Oviedo, España
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Psicothema 2013, Vol. 25, No. 4, 427-432
doi: 10.7334/psicothema2013.59
ISSN 0214 - 9915 CODEN PSOTEG
Copyright © 2013 Psicothema
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Diagnostic agreement between the Personality Diagnostic
Questionnaire-4+ (PDQ-4+) and its Clinical Significance Scale
Natalia Calvo1,2, Fernando Gutiérrez3 and Miguel Casas1,2
1
Psychiatry Department. Hospital Vall d’Hebrón. CIBERSAM, 2 Universidad Autónoma de Barcelona and 3 Hospital Clinic Barcelona. IDIBAPS
Abstract
Background: The Personality Diagnostic Questionnaire-4+ (PDQ-4+) is
composed of a self-report and an interview, the Clinical Significance Scale,
but no studies have reported joint findings. This study is the first to examine
the diagnostic agreement between the Spanish version of the PDQ-4+ selfreport and its corresponding interview. Method: The sample comprised 235
psychiatric outpatients who were assessed with both instruments. Results:
The interview reduced to one half the number of diagnoses provided by
self-report (83.4% to 38.3%; mean number of diagnoses 3.29 to .62).
Diagnostic agreement was between fair and moderate (mean kappa .45 for
PDQ-4+ total score). Conclusions: Findings suggest the utility of jointly
administering the PDQ-4+ and its Clinical Significance Scale to screen for
the presence or absence of personality disorders (PDs). Modifications in
the diagnostic cut-offs for individual PDs and the PDQ-4+ total score may
improve the efficacy of the instrument.
Keywords: PDD-4+; Clinical Significance Scale; diagnostic agreement;
personality disorders.
Resumen
Concordancia diagnóstica entre el Personality Diagnostic
Questionnaire-4+ (PDQ-4+) y su Escala de Significación Clínica.
Antecedentes: el Personality Diagnostic Questionnaire-4+ (PDQ-4+) está
compuesto por un autoinforme y una entrevista, la Escala de Significación
Clínica, pero ningún estudio ha sido publicado con resultados conjuntos.
Este trabajo es el primero en examinar la concordancia diagnóstica
entre la versión española del cuestionario PDQ-4+ y su correspondiente
entrevista. Método: la muestra estaba formada por 235 pacientes
psiquiátricos ambulatorios que fueron evaluados con ambos. Resultados:
la entrevista reducía hasta la mitad el número de diagnósticos obtenido por
el cuestionario (83,4% a 38,3%; número medio de diagnósticos de 3,29 a
.62). La concordancia diagnóstica era de escasa a moderada (kappa media
de .45 para la puntuación total del PDQ-4+). Conclusiones: nuestros
datos sugieren la administración conjunta del PDQ-4+ y su Escala de
Significación Clínica para el cribage de presencia o ausencia de trastornos
de personalidad (TPs). Modificaciones en los puntos de corte para TPs
específicos y para la puntuación total del PDQ-4+ podrían mejorar la
eficacia del instrumento.
Palabras clave: PDQ-4+; Escala de Significación Clínica; concordancia
diagnóstica; trastornos de personalidad.
There is continuing debate regarding the most advisable method
for assessing Personality Disorders (PDs): questionnaires or
interviews. Currently, considering the absence of external criteria
for validating diagnoses, interviews based on the Diagnostic
and Statistical Manual of Mental Disorders (DSM, American
PsychiatricAssociation, 1980-2000) are consensually considered the
gold standard approach for diagnosis. They are said to discard false
positive diagnoses better than self-reports, both by discriminating
more accurately enduring traits from psychopathological states
and better determining trait dysfunctionality (McDermutt &
Zimmerman, 2005; Segal & Coolidge, 2003; Widiger & Samuel,
2005). However, their high cost severely limits their use within
clinical settings (Aboraya, 2009). On the other hand, self-reports
Received: March 5, 2013 • Accepted: July 9, 2013
Corresponding author: Natalia Calvo
Psychiatry Department. Hospital Vall d’Hebrón
Universidad Autónoma de Barcelona
08035 Barcelona (Spain)
e-mail: nacalvo@vhebron.net
are most widely used in the assessment of PDs, outperforming
interviews in terms of their psychometric properties (Widiger &
Samuel, 2005), but they are said to grossly over-diagnose (Hyler,
Skodol, Kellman, Oldham, & Rosnick, 1990; Wang et al., 2012).
Nonetheless, the question might be not whether questionnaires
or interviews are the right method, but whether accurate PD
assessments need to combine them. Although both methods agree
poorly with each other (Duijsens, Bruinsma, Jansen, EurelingsBontekoe, & Diekstra, 1996; Guy, Poythress, Douglas, Skeem, &
Edens, 2008; Perry, 1992; Zimmerman, 1994), a literature review
suggests that self-reports and interviews provide complementary
information (Blackburn, Donnelly, Logan, & Renwick, 2004;
Hopwood et al., 2008; Miller, Bagby, & Pilkonis, 2005). In this
line, it has been suggested that the most efficient strategy in clinical
settings is the initial administration of a questionnaire, followed
by an interview-based assessment when self-reported information
is positive (Widiger & Samuel, 2005). However, combining
both requires a better understanding of their mutual relationship,
currently unknown. We need to know to what degree diagnostic
outputs differ; whether these differences can be improved by
427
Natalia Calvo, Fernando Gutiérrez and Miguel Casas
simply changing the diagnostic thresholds; whether, contrarily,
questionnaires and interviews measure distinct constructs; and
whether these outcomes are the same for all individual disorders.
The Personality Diagnostic Questionnaire-4+ (PDQ-4+; Hyler,
1994) has been strongly recommended instead of a screening
instrument (Abdin et al., 2011; Widiger & Samuel, 2005). The
PDQ-4+ is a self-report, assessing ten specific PDs plus two PDs
proposed in the DSM-IV (American Psychiatric Association, 1994),
Appendix B. These 99 items, true-false format, literally reflect a
single DSM-IV diagnostic criterion. Besides, a brief structured
interview (10-15 minutes), the Clinical Significance Scale, follows
the self-report and either confirms or does not confirm the diagnosis
for each individual PD scoring over threshold. Unlike others, this
interview directly reflects the principal DSM-IV general criteria
for PD assessing whether: (a) the trait is enduring (criterion D for
DSM-IV); (b) it is present in the absence of a psychopathological
state, the effects of a substance or any medical condition (criteria E
and F); and (c) it leads to distress or impairment (criterion C). This
format better reflects the diagnostic procedure proposed by the
DSM-IV and emphasized by the future DSM-5, but the increasing
understanding that the intensity of a trait (i.e., personality) and its
eventual harmfulness (i.e., disorder) can and must be distinguished
(Hopwood, Thomas, Markon, Wright, & Krueger, 2012; Livesley,
2001; Parker & Barrett, 2000; Wakefield, 2008). So, using a single
instrument that combines questionnaire and interview can avoid a
pervasive problem of disagreeing diagnoses. Despite the apparent
advantages informed by various authors (Abdin et al., 2011; de
Reus, van den Berg, & Emmelkamp, 2011), there is no published
research on diagnostic agreement with the Clinical Significance
Scale of the PDQ-4+.
The main objective of this study was to examine the diagnostic
agreement between the Spanish version of the PDQ-4+ self-report
and its corresponding interview, the Clinical Significance Scale.
Specifically, we wish to determine: (a) in which disorders the
interview reduces prevalence; (b) the diagnostic indices Sensitivity,
Specificity, Positive Predictive Value, and Negative Predictive
Value; and (c) the agreement diagnosis (kappa). A second goal was
to examine the accuracy with which the questionnaire can predict
interview-based diagnoses and to analyze the different diagnostic
thresholds in order to improve its efficacy.
Method
Participants
The sample was comprised of 235 outpatients, consecutively
attended at the Psychology Department of a General Teaching
Hospital in Barcelona, Spain. All of them completed the PDQ-4+
and the Clinical Significance Scale.
Their mean age was 32.3 years (SD = 10.9, range 17-82 years).
Regarding gender, 58.5% of them were men. Moreover, 76.2 (n =
179) patients received at least one DSM-IV Axis I diagnosis. The
most frequent diagnoses were Anxiety Disorders (65.9%, n = 155)
and Mood Disorders (56.2%, n =132).
Instruments
The Personality Diagnostic Questionnaire-4+ (PDQ-4+; Hyler,
1994) has been partly described above. The total PDQ-4+ selfreport score provides an index of overall personality disturbance:
428
for scores under 20, PD is discarded; scores of 20-30 require
further assessment; and scores above 30 indicate a probable PD
diagnosis.
The interview-based Clinical Significance Scale determines
whether each self-reported disorder that reaches the diagnostic
threshold fulfills the general criteria for PD: duration, stateindependence, functional impairment, and distress. Like its
previous versions (PDQ and PDQ-R), the PDQ-4+ has proven to
have suitable psychometric properties both in its original version
(Hyler, 1994) and in its adaptation to other languages and cultures,
and in clinical and nonclinical samples (Abdin et al., 2011; Ha,
Kim, Abbey, & Kim, 2007; Fossati et al., 1998; Fossati, Porro,
Maffei, & Borroni, 2012; Hopwood et al., 2013; Kim, Choi, & Cho,
2000; Wang et al., 2012; Wilberg, Dammen, & Friis, 2000; Yang
et al., 2000). The psychometric properties of the Spanish version
of the self-report have been published previously, with acceptable
findings in clinical (Calvo, 2007; Calvo et al., 2002, 2012) and
nonclinical samples (Fonseca-Pedrero, Lemos-Giráldez, Paino, &
Muñiz, 2011; Fonseca-Pedrero, Santarén-Rosell, Paino, & LemosGiráldez, 2013).
Procedure
The study was approved by the hospital ethics committee. All
patients agreed to participate voluntarily and provided written
informed consent after receiving a complete explanation of the
study. Exclusion criteria were psychosis, cognitive disorders and
a current severe affective disorder.
The psychopathological assessment was carried out in 2
sessions by a clinical psychologist. The PDQ-4+ was completed
individually. Patients who reached the diagnostic threshold,
fulfilling the general criteria for PD, were assessed with the
Clinical Significance Scale.
Data analysis
SPSS 15.0 and AMOS 7.0 were used for all the analyses.
Prevalences of self-reported PDQ-4+ scales were analyzed using
the DSM-IV thresholds. The Clinical Significance Scale interview
confirmed the diagnosis for screening-positive disorders, leading
to dichotomous present/absent outcomes.
The capacity of the self-reported PDQ-4+ scores to predict
interview-based PD diagnoses was analyzed through two different
procedures. First, logistic regressions were performed in order to
ascertain whether each interview-based categorical diagnosis was
exclusively, or at least preferentially, predicted by its corresponding
self-reported scale. Second, alternative cut-off points were
selected, based on receiver operating characteristic (ROC) curves
and kappa statistics, and diagnostic indices were then calculated:
Sensitivity, Specificity, Positive Predictive Value, Negative
Predictive Value, Hit Ratio, and Cohen’s kappa for chancecorrected diagnostic agreement. Sensitivity is the proportion of
confirmed PD participants who had screened positive. Specificity is
the proportion of confirmed non-PD participants who had screened
negative. Positive predictive value is the proportion of positive
screenings that the interview confirmed as PD. Negative predictive
value is the proportion of negative screenings that the interview
confirmed as non-PDs. Generally, kappa indexes under .40 indicate
little-fair agreement; .41 to .60, moderate agreement; .61 to .80,
substantial agreement; and .81 to 1.00 perfect agreement. As the
Diagnostic agreement between the Personality Diagnostic Questionnaire-4+ (PDQ-4+) and its Clinical Significance Scale
PDQ-4+ design only allows for people who screened positive to be
interviewed for confirmation, false negatives must be assumed to
be zero. To assess the effects of an eventual verification bias (Begg
& Greenes, 1983), a variable number of false negatives (up to 10%
of the total negative screenings) were simulated for each disorder,
and diagnostic indices were recalculated in order to test their
robustness. A greater percentage of false negatives was considered
improbable, as self-reports systematically tend toward falsepositives (Clark & Harrison, 2001; Widiger & Samuel, 2005).
hand, the Antisocial (.32), Avoidant (.58), Obsessive-Compulsive
(.25) and Depressive (.24) disorders were mainly predicted by
their own scales, although other non-corresponding scales entered
into the equation. Only the Negativistic disorder was exclusively
predicted by a non-corresponding scale (Paranoid, .57). The mean
Nagelkerke R2 for the most predictive scale was .40.
Alternative cut-offs were then established for the self-reported
scales based on kappa statistics and ROC curves, and diagnostic
indices were calculated (Table 1, right). For 9 of 12 self-reported
scales, the best cut-off was located one or two criteria above the
original DSM-IV threshold. Specificity (M = .90, range: .73-.98)
and negative predictive value (M =.98, range: .94-1.00) were good
to excellent. On the contrary, sensitivity (M = .73, range .50 to
1.00) and positive predictive value (M = .27, range .06 to .61)
were often unsuitable. Furthermore, whereas hit rates (M = .89,
range .74 to .98) were good, kappa indices (M = .32, range: .10.58, all ps<.001) indicated that many successful classifications,
albeit significant, were not far from those expected by chance.
Additional analyses simulating a variable number (up to 10%) of
false negatives in order to control for verification bias produced
severe losses of sensitivity, but had practically no effect on the
remaining indices.
Regarding the PDQ-4+ total score, the optimal cut-off for the
presence of PD was found to be 35, five points above the proposed
threshold. Despite this, diagnostic values were still in the moderate
range: sensitivity = .81, specificity = .67, positive predictive value
= .60, negative predictive value = .85, hit rate = .72 and Kappa =
.45 (p<.001).
Results
Table 1 (left) presents the prevalences of the PDQ-4+ scales
using DSM-based cut-offs. Obsessive-Compulsive, Depressive,
Avoidant and Borderline PDs had prevalences over 40%, whereas
Antisocial was the least prevalent disorder (4.7%). Of patients,
83.4% had at least one PD diagnosis. We examined the degree
to which the Clinical Significance Scale interview reduced the
prevalence of PDs. After the interview, total prevalence dropped
to 38.3%. Moreover, the interview-based prevalence for individual
PDs ranged from .9% (Histrionic) to 16.6% (Avoidant). Also, the
mean number of diagnoses per subject dropped from 3.29 (SD =
2.47) by self-report to .62 (SD = .92) by the interview. That is, the
interview produced a reduction of 81.1% in the total number of
diagnoses and a reduction of 54.1% in the number of subjects with
any diagnosis. If the interview is considered the gold standard, this
entails percentages of over-diagnosis ranging from 62.5 to 93.8%
for individual disorders.
Next, the extent to which each self-reported scale can predict
its corresponding interview-based diagnosis was analyzed, as
good predictions would indicate simple differences in threshold
levels between methods. Logistic regression results revealed
that seven interview-based disorders were exclusively predicted
by their respective self-reported score, with low to moderate
Nagelkerke R2 coefficients (R2N). They were the Paranoid (.22),
Schizoid (.54), Schizotypal (.24), Histrionic (.48), Narcissistic
(.48), Borderline (.34) and Dependent (.57) disorders. On the other
Discussion and conclusions
Overall, using the PDQ-4+ self-report, our results found a
prevalence of PDs that is within the expected range in clinical
samples and consistent with the literature (83.4%, mean number of
diagnoses 3.29) (de Reus et al., 2013; Fossati et al., 1998; Fossati
et al., 2012; Wang et al., 2012; Wilberg et al., 2000). In agreement
with previous studies, Obsessive-Compulsive, Borderline,
Table 1
Prevalence of self-reported and interview-based PDs in the PDQ-4+, and prevalence, diagnostic indices, and agreement for alternative cut-off points (n = 235)
Alternative cut-offs
Self-reported diagnoses
using DSM cut-offs
Interview-based
diagnoses
Self-reported diagnoses
using alternative cut-offs
Diagnostic indices
Agreement
Cut
off
n
(%)
n
(%)
Cut
off
n
(%)
S
SP
PPV
NPV
Hit rate
k
p
Paranoid
Schizoid
Schizotypal
4
4
5
080
025
048
(34.0)
(10.6)
(20.4)
06
04
06
(2.6)
(1.7)
(2.6)
6
5
5
21
11
48
(8.9)
(4.7)
(20.4)
0.50
0.75
1.00
.92
.97
.82
.14
.27
.13
0.99
0.99
1.00
.91
.96
.82
.19
.39
.19
<.001
<.001
<.001
Antisocial
Borderline
Histrionic
Narcissistic
4
5
5
5
011
095
032
025
(4.7)
(40.4)
(13.6)
(10.6)
03
15
02
03
(1.3)
(6.4)
(.9)
(1.3)
4
7
7
6
17
30
05
07
(7.2)
(12.8)
(2.1)
(3.0)
1.00
0.60
0.50
0.67
.94
.90
.98
.98
.18
.30
.20
.29
1.00
0.97
1.00
1.00
.94
.89
.98
.97
.28
.34
.28
.39
<.001
<.001
<.001
<.001
Avoidant
Dependent
Obsessive
4
5
4
105
048
137
(44.7)
(20.4)
(58.3)
39
18
30
(16.6)
(7.7)
(12.8)
6
6
5
44
21
79
(18.7)
(8.9)
(33.6)
0.69
0.67
0.80
.91
.96
.73
.61
.57
.30
0.94
0.97
0.96
.88
.94
.74
.58
.58
.31
<.001
<.001
<.001
Depressive
Negativistic
5
4
120
047
(51.1)
(20.0)
17
03
(7.2)
(1.3)
7
4
37
47
(15.7)
(20.0)
0.53
1.00
.87
.81
.24
.06
0.96
1.00
.85
.81
.26
.10
<.001
<.001
Note: S= Sensitivity; SP= Specificity; PPV= Positive Predictive Value; NPV= Negative Predictive Value; k= kappa
429
Natalia Calvo, Fernando Gutiérrez and Miguel Casas
Avoidant and Depressive PDs were the most prevalent diagnoses
(Ha, Kim, Abbey, & Kim, 2007). However, in the absence of studies
using the Clinical Significance Scale allowing comparison, the
interview-based prevalence of any PD (38.3%) was close to recent
estimates in clinical samples (31.4% in Zimmerman, Rothschild, &
Chelminski, 2005; 31.9% in Wang et al., 2012). Nevertheless, this
similarity may be banal, as other studies have reported prevalences
ranging from 11% to 72%, depending on the instrument, sample,
or DSM version used (de Reus et al., 2013; Zimmerman et al.,
2005). The differences found in diagnostic prevalence between
the PDQ-4+ and the interview, though impressive, are similar to
those usually reported (Abdin et al., 2011; de Reus et al., 2011;
Wang et al., 2012). For instance, after its interview, the overall
number of diagnoses was reduced by one fifth, and the number
of diagnosed subjects to less than one half. Concerning individual
PDs, only between 6.2% and 37.5% of the subjects initially
screened as positive were finally considered to have a disorder
after the interview.
Concordance between the PDQ-4+ and its interview ranged
from poor to moderate, as reported using any other combination
of questionnaire and interview (Gárriz & Gutiérrez, 2009). The
PDQ-4+ self-report seems well suited for discarding individual
PDs within clinical samples: 98% of the participants who screened
negative were indeed free from personality psychopathology
(Negative Predictive Value), whereas nearly 90% of the non-PD
participants were successfully screened as healthy (Specificity).
Furthermore, all diagnoses, except for Negativistic PD, are
mainly, or even uniquely, predicted by their corresponding selfreported scales. In contrast, a mean R2N of .40 and a mean kappa
of .32 for individual PDs suggest that much of the variation in
the diagnosis is unrelated to the self-reported scores. The kappa
index for the presence of any PD (.45) was also moderate, a poor
outcome, considering that our attempt was to maximize kappa. Our
results only partially outperform those reported in the literature.
Brief screenings such as the Iowa Personality Disorder Screen
(IPDS) or the Inventory of Interpersonal Problems (IIP-PD) show
superior agreement (median kappa = .56); different versions of
the Personality Diagnostic Questionnaire (PDQ) present median
kappa of .42; the Temperament and Character Inventory (TCI) has
a median kappa of .36; the Structured Clinical Interview for DSMIV Axis II Personality Disorders (SCID-II) and the International
Personality Disorder Examination (IPDE) screening tools have
a median kappa of .29; and the different versions of the Millon
Clinical Multiaxial Inventory (MCMI) presents a median kappa of
.26 (Gárriz & Gutiérrez, 2009).
A weak association between self-report and interview is far
more problematic than a simple difference in threshold. The
evidence suggests that the inability of self-reports to predict final
diagnoses would really constitute more of a conceptual issue
than just measurement concerns. Discordance among methods is
partly attributable to a flawed underlying model, the DSM. Indeed,
disagreement between interviews and self-reports is similar to that
between any two interviews, so the method is exonerated (Clark &
Harrison, 2001). Agreement usually increases whenever disorders
are measured dimensionally instead of categorically (Miller et
al., 2005; Skodol, Oldham, Rosnick, Kellman, & Hyler, 1991).
Second, agreement is not the same across different traits. In our
study, Cluster C disorders showed the best kappa (.58), whereas
Negativistic, Paranoid and Schizotypal PDs showed the worst
one (.10 to .19). Similar heterogeneity has been found in other
430
studies, where Avoidant PD has shown higher agreement (Clark,
Livesley, & Morey, 1997). Therefore, our research highlights that
instruments cannot be better than the model they operationalize,
and further improvement of our instruments necessarily entails
reexamining our taxonomy (Clark et al., 1997).
Accordingly, it has been suggested that a considerable
part of disagreement would be attributable to self-reports and
interviews measuring different constructs. For example, we
observed that many self-reported traits in our study did not reflect
personality but rather the individual’s current condition: transient
psychopathological states, such as anxiety or distress, which were
subsequently excluded by the interview. Self-reported instruments
are more accurate than observable behaviors in assessing subjective
experiences, especially those entailing undesirable consequences
for others (Blackburn et al., 2004; Hopwood et al., 2008; Miller,
Campbell, Pilkonis, & Morse, 2008). This would suggest that
interviews are more capable of discriminating the enduring traits
than the defining PD traits. However, personality pathology has
been revealed to be more variable and fluid than stated in previous
literature: the course of pathological traits fluctuates significantly
over periods as brief as six years (Zanarini, Frankenburg, Hennen,
Reich, & Silk, 2005) and they are, in fact, less enduring than many
Axis I disorders (Shea & Yen, 2003). As for taxonomists, they still
need to clarify which duration turns a state into a trait. In this sense,
whereas the PDQ-4+ interview stringently requires traits to be
lifetime, the SCID-II requires five years and the DIPD, two. On the
other hand, a notable amount of self-reported traits are discounted
by the interview because they do not cause distress or impairment.
For example, our Obsessive-compulsive patients often reported
that over-control decreases, instead of increasing, their distress,
providing them with considerable advantages. Indeed, these
patients have shown minimal evidence of impairment elsewhere
(Costa, Samuels, Bagby, Daffin, & Norton, 2005). Paranoid
subjects see others as malevolent, so hyper-vigilance and mistrust
seem to be the adequate response for this group. Similarly, many
antisocial and narcissistic subjects are more detrimental to others
than to themselves, and are overall benefited by their behavioral
style (Mealey, 1995). Besides, we should abandon the idea that an
extreme trait inevitably, or frequently, leads to a dysfunction. The
relationship between trait intensity and maladaptation has almost
been a premise in the field, despite convincing argumentation to
the contrary (Livesley, 2001; Livesley & Jang, 2000; Parker &
Barrett, 2000; Wakefield, 2008). The issue of which assessment
method is better is probably meaningless until these conceptual
issues are clarified. The task of determining whether the presence
of certain traits or their detrimental consequences should decide the
diagnosis, who (the patient, the clinician, or others) is the competent
judge of such detriment, and how it should be operationalized is
under way.
This study presents some limitations. The sample was recruited
at an outpatient setting at a University Hospital and was relatively
small. Additionally, the sample showed considerable comorbity with
Axis I disorders. Therefore, our results do not necessarily extend to
those reported in other clinical and nonclinical samples. Moreover,
diagnostic instruments for PD have usually shown poor convergence
with each other, so our findings need further replication beyond
the PDQ-4+ and its interview. Future research should investigate
the relationship in different clinical and nonclinical samples and
compare our results with other interviews and self-reports measures
to generalize the findings.
Diagnostic agreement between the Personality Diagnostic Questionnaire-4+ (PDQ-4+) and its Clinical Significance Scale
Despite these limitations, this study found that the routine
administration of the Clinical Significance Scale following
the self-report seems warranted. The PDQ-4+ interview could
be considered overall as an indicator of personality pathology
severity following the general PD criteria. It unequivocally links
the interview with the evaluation of durability, state-independence,
and harmfulness for the future DSM-5. Therefore, the Clinical
Significance Scale interview provided complementary information
about PDs, reducing false-positive diagnoses typical of the selfreport PDQ-4+. Our findings indicate that, with some thresholds
for specific PDs (one or two criteria) and total score (5 points
above), the PDQ-4+ could be modified or changed to improve the
diagnosis of PDs. These changes are likely to increase the validity
and reliability of the instrument and probably the diagnostic
agreement.
Acknowledgements
There are no conflicts of interest with other projects.
The work was partially supported by public funds from the Pla
Director de Salut Mental i Addiccions (Generalitat de Catalunya
Health Department) and grants from the Obra Social - Fundació
“La Caixa”.
This work was partially supported by a grant from the Spanish
Ministerio de Educación y Ciencia (FIS 03/0464) awarded to F.
Gutiérrez.
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