Home Attitude and belief of pain-therapists are important when trying to help chronic pain patients: The Norwegian version of the Pain Attitudes and Beliefs Scale (PABS) improved by Rasch analysis
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Attitude and belief of pain-therapists are important when trying to help chronic pain patients: The Norwegian version of the Pain Attitudes and Beliefs Scale (PABS) improved by Rasch analysis

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Published/Copyright: October 1, 2016
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In this issue of the Scandinavian Journal of Pain Nicolaas Eland and his co-workers apply Rasch analysis to evaluate the measurement properties of the Pain Attitudes and Beliefs Scale (PABS) [1]. Low back pain is one of the leading causes of disability worldwide [2], and our treatment options still insufficient [3]. Pain is weakly associated with structural changes and biomedical findings [4], and the psychosocial component is of major importance in the development of back pain related disability [5]. Hence, treatment is often targeted to reduce pain related fear avoidance behaviour and regain functioning including return to work. There is a wide range of psychological, cognitive and behavioural strategies applied in the treatment [6], and information and guidance from the health care providers are generally included in a multimodal management. One would assume that attitudes and beliefs among health care providers heavily influence the service delivery and also the effect of the treatment. It is an important part of the context sensitive therapeutic effect. However, surprisingly few studies include this perspective. Standardized measurements with validated measurement properties are needed in order to assess these beliefs. Hence, the work by Eland et al. [1] should contribute to increased attention to the care-provider delivery of the treatment through better measurements that focus on this aspect of pain management.

1 Rasch analysis

Rasch analysis was developed by Georg Rasch and published in 1960 [7], and it is one of a series of methods based on item response theory [8].These approaches have been extensively applied within social sciences for decades, and they are becoming increasingly popular within health sciences over the last years. The Rasch analysis tests the deviation of the observed pattern of responses against the expected according to a probabilistic model [9]. One of the advantages of the Rasch approach compared with traditional approaches like factor analysis is the common metric applied for the items and persons. Furthermore, additional person measures can be included, providing evaluation of invariance of the measurement. This is particularly important for measurements of attitudes and beliefs where gender, age, and cultural differences are likely to influence the measurements. Furthermore, Rasch analysis can address the limitation of raw scores based on ordinal measurements. The measurement units are transformed to logits that have the same size (i.e. interval) over the entire continuum. Hence, one can avoid the challenge of score = 2 not being twice of score = 1 on a Lickert-type scale. Dimensionality of a measurement can be evaluated and valid sum scores calculated.

2 Pain Attitudes and Beliefs Scale (PABS)

PABS is one of the most commonly applied measurements health care providers’ attitudes towards patients and beliefs in the therapy they are providing to chronic pain patients [10]. However measurement properties of the PABS have been questioned. PABS was originally designed to differentiate between biomedical and biopsychosocial pain attitudes among health care providers when managing patients with unspecific low back pain [10]. PABS contains two subscales labelled “biomedical” (10 items) and “biopsychosocial” (9 items), with each item scored on a 6 point Lickert scale. The original instrument was derived from a 36 item pool, and the authors integrate these items in the analysis in order to improve the measurement properties of the scale [10]. Nicolaas D. Eland, Alice Kvåle, Raymond W.J.G. Ostelo, and Liv Inger Strand in this issue of the Scandinavian Journal of Pain [1] identified two strictly unidimensional, invariant subscales each consisting of seven items and free from any form of misfit. They also provide transformation tables in order to convert ordinal scores to unbiased and normally distributed interval-level scores, which is important when parametric statistical analysis is desired [11]. The respondents of PABS in the present study were physiotherapists. The responses may vary across health care professions, and the results of Rasch analysis are population dependent. Hence, PABS need to be validated in other populations and invariance to health care profession should be evaluated.

In the future improved knowledge derived from clinical trials will result when measurements of attitudes and beliefs of the health care providers are documented along with the specifications of the interventions applied.


DOI of refers to article: http://dx.doi.org/10.1016/j.sjpain.2016.06.009.



Oslo University Hospital, Department of Physical Medicine and Rehabilitation, Pbox 4950, Nydalen, 0424 Oslo, Norway.

  1. Conflict of interest: None declared.

References

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Published Online: 2016-10-01
Published in Print: 2016-10-01

© 2016 Scandinavian Association for the Study of Pain

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