Rasch analysis of the Back Pain Attitudes Questionnaire (Back-PAQ)

Krägeloh, Christian U.; Medvedev, Oleg N.; Dean, Sarah; Stanley, James; Dowell, Anthony; Darlow, Ben

doi:10.1080/09638288.2020.1861484

Cited by 4 publications

(2 citation statements)

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“…In contrast to dichotomous true-false responses, Likert scales allow gradation of knowledge and may enable the tool to be more discriminative or indicate areas of uncertainty in which OA messaging could be more clear [ 20 ]. Recent psychometric analysis has demonstrated that response patterns from this answer format can be adequately analysed by Rasch analysis [ 21 ]. Items were all worded positively to reduce cognitive load but scored in both forward (True end of response choices indicating better knowledge), and reverse directions (False end of response choices indicating better knowledge).…”

Section: Part A: Scale Development and Content Validitymentioning

confidence: 99%

Knowledge about osteoarthritis: Development of the Hip and Knee Osteoarthritis Knowledge Scales and protocol for testing their measurement properties

Darlow¹,

Abbott²,

Bennell³

et al. 2021

Osteoarthritis and Cartilage Open

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Section: Part A: Scale Development and Content Validitymentioning

confidence: 99%

Knowledge about osteoarthritis: Development of the Hip and Knee Osteoarthritis Knowledge Scales and protocol for testing their measurement properties

Darlow¹,

Abbott²,

Bennell³

et al. 2021

Osteoarthritis and Cartilage Open

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“…To measure the attitudes and beliefs regarding LBP, the 34-item Back Pain Attitudes Questionnaire (Back-PAQ) was developed ( 12 ). Further work on the Back-PAQ resulted in the development of an abbreviated 20-item ( 13 ) and also a 10-item version ( 12 ).…”

Section: Introductionmentioning

confidence: 99%

Exploring the complexity of commonly held attitudes and beliefs of low back pain—a network analysis

Liew,

Darlow

2024

Front. Med.

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ObjectivesThe current study used a network analysis approach to explore the complexity of attitudes and beliefs held in people with and without low back pain (LBP). The study aimed to (1) quantify the adjusted associations between individual items of the Back Pain Attitudes Questionnaire (Back-PAQ), and (2) identify the items with the strongest connectivity within the network.MethodsThis is a secondary data analysis of a previously published survey using the Back-PAQ (n = 602). A nonparametric Spearman’s rank correlation matrix was used as input to the network analysis. We estimated an unregularised graphical Gaussian model (GGM). Edges were added or removed in a stepwise manner until the extended Bayesian information criterion (EBIC) did not improve. We assessed three measures of centrality measures of betweenness, closeness, and strength.ResultsThe two pairwise associations with the greatest magnitude of correlation were between Q30–Q31 [0.54 (95% CI 0.44 to 0.60)] and Q15–Q16 [0.52 (95% CI 0.43 to 0.61)]. These two relationships related to the association between items exploring the influence of attentional focus and expectations (Q30–Q31), and feelings and stress (Q15–Q16). The three items with the greatest average centrality values, were Q22, Q25, and Q10. These items reflect beliefs about damaging the back, exercise, and activity avoidance, respectively.ConclusionBeliefs about back damage, exercise, and activity avoidance are factors most connected to all other beliefs within the network. These three factors may represent candidate targets that clinicians can focus their counseling efforts on to manage unhelpful attitudes and beliefs in people experiencing LBP.

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Back Pain Attitudes Questionnaire (Back-PAQ)

Pierobon

Darlow

2023

International Handbook of Behavioral Health Assessment

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Rasch analysis of the Back Pain Attitudes Questionnaire (Back-PAQ)

Cited by 4 publications

References 28 publications

Knowledge about osteoarthritis: Development of the Hip and Knee Osteoarthritis Knowledge Scales and protocol for testing their measurement properties

Knowledge about osteoarthritis: Development of the Hip and Knee Osteoarthritis Knowledge Scales and protocol for testing their measurement properties

Exploring the complexity of commonly held attitudes and beliefs of low back pain—a network analysis

Back Pain Attitudes Questionnaire (Back-PAQ)

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