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Treatment utilization and satisfaction: Examining the contributions of Axis II psychopathology and t

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Title: Treatment utilization and satisfaction: Examining the contributions of Axis II psychopathology and t


1
Treatment utilization and satisfaction Examining
the contributions of Axis II psychopathology and
the Five-Factor Model of personality Joshua D.
Miller University of Georgia Paul A. Pilkonis
and Edward P. Mulvey University of Pittsburgh
Medical Center
  • DISCUSSION
  • Both personality disorder constructs and general
    personality traits provide useful information
    regarding treatment utilization and satisfaction.
  • The personality constructs that were predictive
    of utilization or satisfaction tended to be
    consistent across the level of personality
    conceptualization (traits vs. disorders). For
    instance, antagonistic, antisocial individuals
    attended fewer therapy sessions and were less
    likely to be compliant with medications.
  • Introverted, avoidant individuals were more
    likely to take advantage of clinical services,
    which may be a result of their more limited
    informal social support.
  • Openness to Experience was the only consistent
    predictor of satisfaction. Individuals high on
    this trait prefer more open-ended discussions,
    more diversity of opinion, more equality of
    participation, and more complexity of thought
    (McCrae, 1996, p. 328) these preferences would
    be played out in a therapeutic setting which is
    often characterized by exchanges regarding
    values, belief systems, and discussions of
    changing longstanding behavioral patterns.
  • The results suggest that it would be shortsighted
    to focus solely on Borderline PD when predicting
    these constructs as other PDs were more
    consistently related to the utilization of
    services.
  • Personality constructs provide important
    information regarding the processes by which some
    individuals come to accept and utilize various
    forms of psychiatric interventions. Clinicians
    would be well-served to consider the role of
    individual differences when conducting treatment
    planning.

METHOD (cont.) Sample 2 Participants (n 544
47 female) were solicited as part of the
MacArthur Violence Risk Assessment Study. Data
collected at three inpatient facilities. After
discharge, participants were assessed five times
during a one-year period. Sample 2
measures Clinician ratings of DSM PD categories
(absent/present), depression and anxiety via the
Brief Psychiatric Rating Scale, and the Global
Assessment of Functioning scale. NEO-FFI 60
item self-report inventory that assesses the
Five-Factor Model. Information was gathered
regarding medication utilization and use of other
clinical services at each assessment.
ABSTRACT A critical issue facing mental health
practitioners is the need to increase our
understanding of what variables impact patients
treatment utilization and satisfaction with care.
The current study examined whether personality
disorders (PDs) and general personality traits,
as measured by the Five-Factor Model (FFM), could
predict these outcomes in two clinical samples.
The results suggest that both PD symptom counts
and the FFM have substantial predictive power
with regard to treatment utilization and
satisfaction. These findings suggest that both
types of personality information should be
included in treatment planning and implementation.
ANALYTIC STRATEGY RESULTS Multiple regression
analyses conducted Step 1 Depression/Anxiety
and GAF Step 2 Personality Disorder symptom
counts or diagnoses Step 3 Five-Factor Model
dimensions
  • INTRODUCTION
  • Psychiatric treatment can reduce distress and
    increase global functioning in individuals with
    Axis I (Lambert Bergin, 1994) and/or Axis II
    disorders (Sanislow McGlashan, 1998) and these
    interventions are often cost effective.
  • A recent meta-analysis (Chiles, Lambert, Hatch,
    1999) found that psychological interventions
    resulted in a 20 savings in overall medical
    costs.
  • The costs and the advent of managed care make it
    critical to know how people seek care and how
    they react to it understanding the factors that
    affect treatment utilization and satisfaction is
    an important aspect of designing an effective
    mental health service system.
  • Commonly explored factors in the prediction of
    treatment utilization include accessibility,
    affordability, and perceived barriers.
  • Commonly explored factors in the prediction of
    treatment satisfaction include age, gender, and
    education.
  • Relatively ignored in this literature is the role
    of individual differences however, the extant
    literature suggests that individuals with PDs use
    more clinical services but are less satisfied.
  • Treatment Utilization
  • Medication
  • PDs accounted for 14 (sample 1) and 13 (median
    sample 2) of the variance in the outcome.
  • FFM accounted for an additional 9 (sample 1 and
    median of sample 2) of the variance.
  • Clinical services (e.g., therapy)
  • PDs accounted for 19 (sample 1) and 7 (median
    sample 2) of the variance in the outcome.
  • FFM accounted for an additional 11 (sample 1)
    and 7 (median sample 2) of the variance.
  • Personality Disorders
  • Antisocial was negatively related to using
    medication (in 3 of 6 assessment periods) and
    clinical services (6 of 6).
  • Schizotypal was negatively related to using
    clinical services (2 of 5), while Avoidant was
    positively related to this outcome (2 of 6).
  • FFM dimensions
  • Agreeableness was consistently positively related
    to use of medication (4 of 6) and clinical
    services (5 of 6).
  • Extraversion was consistently negatively related
    to use of medication (3 of 6) and clinical
    services (4 of 6).
  • Treatment Satisfaction
  • Medication
  • PDs accounted for 15 (sample 1) of the variance.

REFERENCES Chiles, J. A., Lambert, M. J.,
Hatch, A. L. (1999). The impact of psychological
interventions on medical cost offset A
meta- analytic review. Clinical Psychology
Science and Practice, 6, 204-220. Lambert, M.
J., Bergin, A. E. (1994). The effectiveness of
psychotherapy. In A. E. Bergin S. L. Garfield
(Eds.), The handbook of psychotherapy and
behavior change (4th ed., pp. 143-189). New
York Wiley. McCrae, R. R. (1996). Social
consequences of experiential openness.
Psychological Bulletin, 120, 323-337. Sanislow,
C. A., McGlashan, T. H. (1998). Treatment
outcome of personality disorders. Canadian
Journal of Psychiatry, 43, 237- 250.
METHOD Sample 1 Participants (n 99 58
female) were solicited from inpatient and
outpatient programs at Western Psychiatric
Institute and Clinic, Pittsburgh, PA. Sample 1
measures Intake Consensus ratings of DSM PD
symptoms, along with Hamilton Depression and
Anxiety scores and Global Assessment of
Functioning. NEO-PI 180 item self-report
inventory that assesses the five broad
personality domains as articulated by the
Five-Factor Model. Six-month follow-up Self-report
s of medication usage (no/yes), therapy
sessions, and satisfaction (rated from 1 to 5)
for medication and therapy.
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