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Psychometric Characteristics of the Pain Treatment Satisfaction Scale

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Psychometric Characteristics of the Pain Treatment Satisfaction Scale Robyn L. Walker1, Michael E. Clark1,2, Ronald J. Gironda1,2 1 James A. Haley Veteran s Hospital; – PowerPoint PPT presentation

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Title: Psychometric Characteristics of the Pain Treatment Satisfaction Scale


1
Psychometric Characteristics of the Pain
Treatment Satisfaction Scale
  • Robyn L. Walker1, Michael E. Clark1,2,
  • Ronald J. Gironda1,2
  • 1 James A. Haley Veterans Hospital
  • 2 University of South Florida
  • Tampa, Florida

2
Introduction
  • Recognition of the importance of health-related
    treatment outcomes in general and pain-related
    outcomes in particular, has been growing. The
    foundation for this increased focus on pain
    treatment outcomes stems from the fact that
    effective pain assessment and treatment requires
    the availability of valid and reliable measures
    of pain-related dysfunction and treatment outcome
    (Clark Gironda, 2002). There exist several
    reliable, valid, and comprehensive pain
    assessment instruments including the
    Multidimensional Pain Inventory (Kerns, Turk,
    Rudy, 1985), and the Pain Outcomes Questionnaire
    (POQ) (Clark, Gironda, Young, 2003) suitable
    for tracking treatment-related changes across
    multiple outcomes domains.
  • One important and infrequently studied
    pain-related outcome is patient satisfaction with
    treatment services, for which there are currently
    no validated self-report measures. The Pain
    Treatment Satisfaction Scale (PTSS) was developed
    to fill this gap in outcomes measurement for
    chronic pain treatment. The PTSS consists of
    5-items from the post-treatment version of the
    POQ-VA. Previous research has found the PTSS to
    have good internal consistency and good
    concurrent and predictive validity (Clark,
    Gironda, Young, 2003). However, further
    research is needed to bolster the psychometric
    validity and establish the construct validity of
    the PTSS. The purpose of the current study was to
    evaluate the psychometric characteristics of the
    PTSS, with a focus on establishing construct
    validity through examining concurrent outcomes
    variables.

3
Method
  • Participants
  • Participants consisted of 202 individuals with
    chronic non-cancer pain admitted between 12/02
    and 12/04 to a CARF-accredited, 18-day, inpatient
    interdisciplinary pain treatment program at a
    southeastern Veterans Administration Hospital.
    The majority of participants were military
    veterans, although several veteran spouses
    participated. Characteristics of the sample are
    reported in Table 1.
  • Measures
  • Pain Treatment Satisfaction Scale (PTSS). The
    PTSS consists of 5-items from the post-treatment
    version of the POQ-VA. Previous research has
    found the PTSS to have good internal consistency
    and good concurrent and predictive validity
    (Clark, Gironda, Young, 2003). At a 3 month
    follow-up appointment, patients were asked to
    rate their overall satisfaction with their pain
    treatment and whether they would recommend the
    program to others on a scale of 0 to 10.
  • Pain Outcomes Questionnaire-VA Version (POQ-VA).
    The POQ-VA (Clark, Gironda, Young, 2003) is a
    self-report instrument that assesses pain
    intensity and pain-related difficulties in five
    outcomes domains (activities of daily living,
    mobility, negative affect, vitality and
    pain-related fear). The subscales possess
    excellent generalizability, acceptable
    test-retest reliability, good convergent and
    discriminant validity, and acceptable sensitivity
    to change. The POQ-VA was administered at program
    admission, discharge, and 3 month follow-up.

4
Method Continued
  • Measures Continued
  • Minnesota Multiphasic Personality Inventory
    Revised (MMPI-2). The MMPI-2 (Butcher, Graham,
    Ben-Porath, Tellegen, Dahlstrom, Kaemmer, 2001)
    is a widely accepted and empirically validated
    self-report inventory that assesses major
    patterns of personality and psychological
    disorders. The MMPI-2 content scales of
    Depression, Anxiety, and Health Concerns were
    selected due to previous research demonstrating
    their association with pain treatment outcomes.
  • Procedure
  • Participants completed the MMPI-2 and the POQ-VA
    as part of their initial treatment evaluation.
    Program graduates then completed the POQ-VA
    (including the PTSS), at the time of discharge
    and at a 3 month follow-up appointment. Data were
    gathered and analyzed for those participants who
    completed the pain treatment program and the
    required questionnaires. Staff ratings of patient
    satisfaction and improvement also were utilized
    in the analyses.

5
Table 1. Demographic Characteristics
6
Results
  • Reliability and Factor Analysis of the PTSS
  • Reliability analyses with the five item PTSS
    were conducted. Calculation of coefficient alphas
    revealed that the scale has excellent internal
    consistency (a .9124). Reliability analyses are
    reported in Table 2 and indicated that intra-item
    and item-total correlations ranged from moderate
    (r .58) to high (r .80). A factor analysis
    was then performed utilizing the 5-items on the
    PTSS in a Principal-Components analysis, which
    revealed a one-factor solution accounting for
    74.16 of the variance.
  • Correlational Analyses with the POQ-VA z-scores
  • Correlations between the PTSS and POQ-VA
    discharge and three month follow up scores were
    computed and are presented in Table 3. Z-scores
    were calculated for each scale on the POQ-VA and
    were summed to approximate a global measure of
    pain related dysfunction or impairment. This
    POQ-VA global z-score was utilized in all the
    correlational analyses. As illustrated in the
    table, higher PTSS Discharge Total, Follow-Up
    Overall, and Follow-Up Recommend scores were
    associated with decreased reports of global
    pain-related impairment or dysfunction as
    measured by the POQ-VA global z-score.

7
Table 2. PTSS Reliability Analyses
8
Table 3. Correlations Between PTSS POQ-VA
global z-score at Discharge and Follow Up
9
Results Continued
  • Correlational Analyses with the MMPI-2
  • Correlations between the PTSS and selected
    MMPI-2 scales were run computed and are presented
    in Table 4. Interestingly, the only MMPI-2 scale
    that was found to be significantly associated
    with any PTSS score was the Health Concerns scale
    at discharge.
  • Correlational Analyses with Staff Ratings
  • Correlations between staff ratings and the
    PTSS at discharge and satisfaction ratings at
    three month follow-up were conducted and are
    displayed in Table 5. As shown in the table,
    staff ratings of patient satisfaction and
    improvement were highly associated with patient
    ratings of satisfaction at discharge and three
    month follow-up.

10
Table 4. Correlations Between PTSS Selected
MMPI-2 Content Scales
11
Table 5. Correlations Between PTSS Staff
Ratings at Discharge and Follow Up
Staff Ratings
Patient Report Patient Satisfaction Patient Improvement
PTSS Discharge .420 .289
Overall Follow Up Satisfaction .342 .296
Recommend Program Follow Up .267 .274
12
Results Continued
  • Multiple Regression Analyses
  • A set of three hierarchical multiple
    regressions were conducted to examine the
    predictive utility of the POQ-VA global z-score
    and the selected MMPI-2 scales. In the first
    analysis, the PTSS discharge total score served
    as the dependent variable, in the second analysis
    the Follow-Up Overall Satisfaction score was the
    dependent variable, and in the final analysis the
    Follow-Up Recommend score was the dependent
    variable. To control for differences in
    variations in participant age and education,
    these variables were entered in Block 1.
    Similarly, to control for the effects of
    pre-existing personality constructs, the MMPI-2
    Depression, Anxiety, and Health Concerns content
    scales, were entered in Block 2. Finally, POQ-VA
    global z-score was entered in Block 3. This
    procedure provided a means to compare the unique
    contribution of the POQ-VA (at discharge and 3
    month follow-up) into the prediction of PTSS
    scores (at discharge and 3 month follow-up,
    respectively) while controlling for other
    potential systematic sources of variance. The
    results of these analyses are presented in Table
    6. As is evident in the table, POQ-VA discharge
    and follow-up global z-scores were significant
    predictors of patient satisfaction at discharge
    and at 3 months follow-up. Interestingly, no
    MMPI-2 content scales significantly contributed
    to the prediction of patient satisfaction.

13
Table 6. Hierarchical Regression Analyses of POQ
z-scores and MMPI-2 scales on PTSS at discharge
and follow-up
14
Discussion
  • In the current study, the psychometric
    characteristics of the previously developed five
    item Pain Treatment Satisfaction Scale (PTSS)
    were evaluated in a large sample of chronic pain
    patients who had recently completed an eighteen
    day interdisciplinary pain management program.
    Reliability analyses conducted with the PTSS
    indicated that individual item-total correlations
    were high and overall internal consistency was
    strong. A Principal Components analysis of the
    PTSS items yielded a single-factor solution
    accounting for 74.16 of the variance.
  • Concurrent outcome variables, including the
    POQ-VA, MMPI-2, and staff ratings of patient
    satisfaction and improvement, were utilized to
    evaluate the construct validity of the PTSS.
    Analyses determined that the PTSS showed modest
    to strong correlations with measures of related
    constructs. Staff ratings of patient satisfaction
    and improvement and a composite POQ-VA score at
    discharge and three month follow-up, were all
    found to be strongly associated with patient
    satisfaction with the pain management program.
    Additionally, at a three month follow-up, patient
    ratings of whether they would recommend the
    program to someone with a similar problem were
    found to be related to lower ratings of discharge
    and follow-up pain related impairment and higher
    ratings of satisfaction with the program.

15
Discussion Continued
  • Interestingly, analyses that utilized the
    MMPI-2 content scales of Depression, Anxiety, and
    Heath Concerns to evaluate the effects of
    selected pre-morbid personality characteristics
    and emotional symptoms demonstrated that
    pre-existing personality constructs had limited
    impact on patients satisfaction with their pain
    treatment. Rather, improvements in pain-related
    impairments and dysfunction achieved during
    treatment were more strongly associated with
    patient satisfaction.
  • The results of these analyses provide support
    for the psychometric integrity and clinical
    utility of the five-item PTSS as a measure of
    patient satisfaction with pain treatment.
    However, the veteran sample utilized in this
    study may not be representative of individuals
    with chronic pain encountered in other settings.
    Since it is possible that the PTSS would perform
    differently in other patient populations,
    replication of these findings in non-veteran
    community samples is necessary in order to
    establish its overall validity and utility.

16
References
  • Butcher, J. N., Graham, J. R., Ben-Porath, Y. S.,
    Tellegen, A., Dahlstrom, W. G., Kaemmer, B.
    (2001). MMPI-2 Manual for administration,
    scoring, and interpretation. (Rev. ed.).
    Minneapolis, MN University of Minnesota Press.
  • Clark, M. E., Gironda, R. J. (2000). Concurrent
    validity of the National Pain Data Bank
    Preliminary results. American Journal of Pain
    Management, 10, 25-33.
  • Clark, M. E., Gironda, R. J. (2002). Practical
    utility of outcome measurement. R. S. Weiner
    (Ed.), Pain management A practical guide for
    clinicians (6th ed., ). Boca Raton, FL. CRC
    Press.
  • Clark, M.E., Gironda, R.J., Young, R.W. (2003).
    Development and validation of the Pain Outcomes
    Questionnaire- VA. Journal of Rehabilitation
    Research Development, 40,(5), 381-395.
  • Gironda, R. J., Azzarello, L., Clark, M. E.
    (2002). Test-retest reliability of the National
    Pain Data Bank V. 2.0. American Journal of Pain
    Management, 12, 24-30.
  • Kerns, R. D., Turk, D. C., Rudy, T. E. (1985).
    The West Haven-Yale Multidimensional Pain
    Inventory (WHYMPI). Pain, 23, 345-356.
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