Creation and validation of the 4-item BriefPCS-chronic through methodological triangulation

David M Walton, Swati Mehta, Wonjin Seo, Joy C MacDermid, David M Walton, Swati Mehta, Wonjin Seo, Joy C MacDermid

Abstract

Background: The Pain Catastrophizing Scale (PCS) is a widely used self-report tool to evaluate pain related catastrophizing. The PCS was developed using classical test theory and has been shown to be psychometrically sound among various populations. However, it's current three subscales are rarely used in clinical practice, offering potential for an abbreviated version that reduces administrative burden and can be used to estimate full scale scores, yet is not bound by the inclusion of items from each subscale. Hence, the aim of the current study was to develop a unidimensional abbreviated version of the PCS through findings from qualitative, classical test theory, and newer Rasch analysis.

Methods: The current cross-sectional study used data from the Quebec Pain Registry (n = 5646) to obtain PCS scores of people seeking care at tertiary chronic pain centres. To develop an abbreviated unidimensional tool, items were removed based on triangulation of qualitative review of each item and response, corrected item-total correlations, and Rasch analysis. Confirmatory factor analysis was conducted on the final remaining items to confirm the tool was assessing a single latent construct (catastrophizing). Fit was assessed using the cumulative fit index (CFI), Tucker Lewis Index (TLI), and root-mean-squared error of approximation (RMSEA).

Results: After triangulation, a final abbreviated 4-item scale showed adequate model fit with a strong correlation (r > 0.95) with the original scale and properties that were stable across age, sex, cause, and medicolegal status. Additionally, the brief version addressed some problematic wording on some items on the original scale. Both the original and new abbreviated tool were associated with the Beck Depression Inventory and the Brief Pain Inventory at the same magnitude.

Conclusion: The abbreviated scale may allow for a decrease in administrator burden and greater clinical uptake when a quick screen for exaggerated negative orientation towards pain is needed.

Keywords: Confirmatory factor analysis; Content analysis; Methodological triangulation; Pain catastrophizing, Outcome Measures, Rasch analysis.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Person-Item Threshold histogram from Rasch analysis using the first random sample of n = 250, showing good coverage of the person locations by the thresholds of the brief scale
Fig. 2
Fig. 2
Unrestricted, standardized path coefficients through confirmatory factor analysis on n = 500 scores. e = error (residual) term

References

    1. Thorn BE, Ward LC, Sullivan MJ, Boothby JL. Communal coping model of catastrophizing: conceptual model building. Pain. 2003;106(1–2):1–2.
    1. Walton DM, Levesque L, Payne M, Schick J. Clinical pressure Pain threshold testing in neck Pain: comparing protocols, responsiveness, and association with psychological variables. Phys Ther. 2014;94(6):827–37.
    1. Sullivan MJL, Bishop SR, Pivik J. The Pain Catastrophizing scale: development and validation. Psychol Assess. 1995;7(4):524–532.
    1. Dimitriadis Z, Kapreli E, Strimpakos N, Oldham J. Do psychological states associate with pain and disability in chronic neck pain patients? J Back Musculoskelet Rehabil. 2015;28(4):797–802.
    1. Sobol-Kwapinska M, Bąbel P, Plotek W, Stelcer B. Psychological correlates of acute postsurgical pain: A systematic review and meta-analysis. Eur J Pain. 2016;20(10):1573–1586.
    1. Walton DM, Carroll LJ, Kasch H, Sterling M, Verhagen AP, Macdermid JC, et al. An Overview of Systematic Reviews on Prognostic Factors in Neck Pain: Results from the International Collaboration on Neck Pain (ICON) Project. Open Orthop J. 2013;7(1):494–505.
    1. Jackson T, Tian P, Wang Y, Iezzi T, Xie W. Toward Identifying Moderators of Associations Between Presurgery Emotional Distress and Postoperative Pain Outcomes: A Meta-Analysis of Longitudinal Studies. J Pain. 2016;17(8):874–888.
    1. Riddle DL, Wade JB, Jiranek WA, Kong X. Preoperative Pain Catastrophizing Predicts Pain Outcome after Knee Arthroplasty. Clin Orthop Relat Res. 2010;468(3):798–806.
    1. Beneciuk JM, Robinson ME, George SZ. Low back pain subgroups using fear-avoidance model measures. Clin J Pain. 2012;28(8):658–666.
    1. D’Eon JL, Harris CA, Ellis JA. Testing factorial validity and gender invariance of the pain catastrophizing scale. J Behav Med. 2004;27(4):361–372.
    1. Van Damme S, Crombez G, Bijttebier P, Goubert L, Van Houdenhove B. A confirmatory factor analysis of the Pain Catastrophizing scale: invariant factor structure across clinical and non-clinical populations. Pain. 2002;96(3):319–324.
    1. Osman A, Barrios FX, Gutierrez PM, Kopper BA, Merrifield T, Grittmann L. The Pain Catastrophizing scale: further psychometric evaluation with adult samples. J Behav Med. 2000;23(4):351–365.
    1. Walton DM, Wideman TH, Sullivan MJ. A Rasch analysis of the pain catastrophizing scale supports its use as an interval-level measure. Clin J Pain. 2013;29(6):499–506.
    1. Osman A, Barrios FX, Kopper BA, Hauptmann W, Jones J, O’Neill E. Factor structure, reliability, and validity of the Pain Catastrophizing Scale. J Behav Med. 1997;20(6):589–605.
    1. Streiner DL, Streiner DL. Starting at the beginning : an introduction to coefficient alpha and internal consistency starting at the beginning : an introduction to coefficient alpha and internal consistency. J Pers Assess. 2016;80(1):37–41.
    1. McWilliams LA, Kowal J, Wilson KG. Development and evaluation of short forms of the Pain Catastrophizing scale and the Pain self-efficacy questionnaire. Eur J Pain. 2015;19(9):1342–1349.
    1. Darnall BD, Sturgeon JA, Cook KF, Taub CJ, Roy A, Burns JW, et al. Development and validation of a daily pain Catastrophizing scale. J Pain. 2017;18(9):1139–1149.
    1. Bot AG, Becker S, Bruijnzeel H, Mulders M, Ring D, Vranceanu A. Creation of the abbreviated measures of thePain Catastrophizing scale and the short health anxiety inventor y:the PCS-4 and SHAI-5. J Musculoskelet Pain. 2014;22:145–151.
    1. Cleeland CS, Ryan KM. Pain assessment: global use of the brief Pain inventory. Ann Acad Med Singap. 1994;23(2):129–138.
    1. Walton DM, Putos J, Beattie T, MacDermid JC. Confirmatory factor analysis of 2 versions of the brief Pain inventory in an ambulatory population indicates that sleep interference should be interpreted separately. Scand J Pain. 2016;12:110–116.
    1. Wang Y-P, Gorenstein C. Psychometric properties of the Beck Depression Inventory-II: a comprehensive review. Rev Bras Psiquiatr. 2013;35(4):416–431.
    1. Tennant A, Conaghan PG. The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis Rheum. 2007;57(8):1358–1362.
    1. Pallant JF, Tennant A. An introduction to the Rasch measurement model: an example using the hospital anxiety and depression scale (HADS) Br J Clin Psychol. 2007;46(Pt 1):1–18.
    1. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Model A Multidiscip J. 1999; 6(1): 1–55. Available from: 10.1080/10705519909540118. Cited 2017 Jan 31.
    1. Steiger JH. Understanding the limitations of global fit assessment in structural equation modeling. Pers Individ Dif. 2007;42(5):893–898.
    1. Chakkamparambil B, Chibnall JT, Graypel EA, Manepalli JN, Bhutto A, Grossberg GT. Development of a Brief Validated Geriatric Depression Screening Tool: The SLU “AM SAD”. Am J Geriatr Psychiatry. 2015;23(8):780–783.
    1. McNeely J, Strauss SM, Saitz R, Cleland CM, Palamar JJ, Rotrosen J, et al. A brief patient self-administered substance use screening tool for primary care: two-site validation study of the substance use brief screen (SUBS) Am J Med. 2015;128(7):784.e9–784.e19.
    1. Sullivan MJ. The Pain Catastrophizing Scale User Manual. 1995.

Source: PubMed

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