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Item response theory evaluation of the biomedical scale of the Pain Attitudes and Beliefs Scale

Author

Listed:
  • Alessandro Chiarotto
  • Annette Bishop
  • Nadine E Foster
  • Kirsty Duncan
  • Ebenezer Afolabi
  • Raymond W Ostelo
  • Muirne C S Paap

Abstract

Objectives: The assessment of health care professionals’ attitudes and beliefs towards musculoskeletal pain is essential because they are key determinants of their clinical practice behaviour. The Pain Attitudes and Beliefs Scale (PABS) biomedical scale evaluates the degree of health professionals’ biomedical orientation towards musculoskeletal pain and was never assessed using item response theory (IRT). This study aimed at assessing the psychometric performance of the 10-item biomedical scale of the PABS scale using IRT. Methods: Two cross-sectional samples (BeBack, n = 1016; DABS; n = 958) of health care professionals working in the UK were analysed. Mokken scale analysis (nonparametric IRT) and common factor analysis were used to assess dimensionality of the instrument. Parametric IRT was used to assess model fit, item parameters, and local reliability (measurement precision). Results: Results were largely similar in the two samples and the scale was found to be unidimensional. The graded response model showed adequate fit, covering a broad range of the measured construct in terms of item difficulty. Item 3 showed some misfit but only in the DABS sample. Some items (i.e. 7, 8 and 9) displayed remarkably higher discrimination parameters than others (4, 5 and 10). The scale showed satisfactory measurement precision (reliability > 0.70) between theta values -2 and +3. Discussion: The 10-item biomedical scale of the PABS displayed adequate psychometric performance in two large samples of health care professionals, and it is suggested to assess group-level professionals degree of biomedical orientation towards musculoskeletal pain.

Suggested Citation

  • Alessandro Chiarotto & Annette Bishop & Nadine E Foster & Kirsty Duncan & Ebenezer Afolabi & Raymond W Ostelo & Muirne C S Paap, 2018. "Item response theory evaluation of the biomedical scale of the Pain Attitudes and Beliefs Scale," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-17, September.
    • Handle: RePEc:plo:pone00:0202539
    DOI: 10.1371/journal.pone.0202539
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    References listed on IDEAS

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    1. Anke Lenferink & Tanja Effing & Peter Harvey & Malcolm Battersby & Peter Frith & Wendy van Beurden & Job van der Palen & Muirne C S Paap, 2016. "Construct Validity of the Dutch Version of the 12-Item Partners in Health Scale: Measuring Patient Self-Management Behaviour and Knowledge in Patients with Chronic Obstructive Pulmonary Disease," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-16, August.
    2. Chalmers, R. Philip, 2012. "mirt: A Multidimensional Item Response Theory Package for the R Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i06).
    3. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    4. Roger Watson & L Andries van der Ark & Li‐Chan Lin & Robert Fieo & Ian J Deary & Rob R Meijer, 2012. "Item response theory: How Mokken scaling can be used in clinical practice," Journal of Clinical Nursing, John Wiley & Sons, vol. 21(19pt20), pages 2736-2746, October.
    5. van der Ark, L. Andries, 2012. "New Developments in Mokken Scale Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i05).
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