Chronic diabetic peripheral neuropathic pain: psychometric properties of pain and physical function outcome measures
- Publication Type:
- Journal Article
- Physical Therapy Reviews, 2018, 23 (6), pp. 317 - 329
- Issue Date:
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© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Background: Diabetic peripheral neuropathy (DPN) not only produces severe pain, tingling, and numbness sensation in the involved limbs, but also limits physical function due to loss of sensation. There are no recommended methods for clinical situations to measure these signs and symptoms. Studies with high methodological quality use the modified Brief Pain Inventory for Diabetic Peripheral Neuropathic pain (mBPI-DPN) scale and the short form Screening of Activity Limitations and Safety Awareness (sSALSA) scale for measuring these symptoms in DPN population. In order to capture a real change in the variables of interest, the psychometric properties of that measure should be within acceptable limits. As these two measures were not assessed for all of the psychometric properties, there was a need for further evaluation. Methods: Data were collected (n = 38 patients) in a longitudinal cohort study. Test–retest reliability (0–4 weeks) and Responsiveness- Minimal Clinically Important Difference (MCID) (0–12 weeks) were calculated between two sessions. Convergent validity was assessed (between mBPI-DPN pain interference and sSALSA scale). Results: Both measures demonstrated acceptable test–retest reliability (mBPI-DPN scale: ICC = 0.61, SEM = 12.92; the sSALSA scale: ICC = 0.81, SEM = 4.88) and convergent validity (Spearman’s correlation coefficient r = 0.62). The computational methods used in different methodologies to calculate MCID for the mBPI-DPN and the sSALSA scale were varied, hence the magnitude of derived MCID scores also varied. Conclusions: Our study have provided evidence to add to the scientific basis surrounding the use of mBPI-DPN and sSALSA scales in DPN population, but standardization of these measures in a larger population is required.
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