Using neck disability index, numerical pain rating scale and computerized dynamic posturography to assess cortical integrative therapy in practice based clinical research

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Abstract

In this retrospective study of adult patient’s charts from an outpatient clinical practice, three tools, Neck Disability Index (NDI), Numerical Pain Rating Scale (NPRS), and Computerized Dynamic Posturography (CDP), were investigated to evaluate how they are affected by demographics, anthropometry and clinical status, and if they are can detect the effects of Cortical Integrative Therapy (PedroCIT®) received by these patients all affected by neck pain. The results show that they are robust metrics not affected by sex, age, payee’s type, treatment duration, or comorbidities number. CDP is affected by the primary diagnosis (traumatic brain injury/concussion, vertigo/dizziness, migraine/headaches, or other), NDI and NPRS are not. Whereas NDI and NPRS could be used interchangeably as an overall measure of the pain the patient is experiencing, their results do not correlate in general with CDP, indicating the need to use both a subjective (NDI or NPRS) and an objective tool (CDP) as they capture different aspects: how the subject rates its ability to perform daily activities and how much pain it feels, and how the postural control system maintains balance. When considering the time constraint physicians often face when dealing with patients, this chart review points toward the possibility of using the simple NPRS as subjective measure of pain, and only one instead of several CDP tests to determine the pre-post effect of a therapy. Future studies evaluating PedroCIT® outcomes for specific diagnoses in larger populations, multiple location settings, and observation for longitudinal cohesion are needed before these metrics can be fully endorsed.

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Pedro, V. M., Lyon, R., & Oggero, E. (2021). Using neck disability index, numerical pain rating scale and computerized dynamic posturography to assess cortical integrative therapy in practice based clinical research. Biomedical Sciences Instrumentation, 57(1), 19–31. https://doi.org/10.34107/zjnf5397.0119

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