C-64 * An Examination of Self-Reported Satisfaction in Videoconference-Based Neuropsychological Feedback Sessions: The Benefits of Multiple Statistical Methods

Abstract

Objective: This study examined satisfaction and understanding of neuropsychological assessment findings when receiving videoconference (VC) or in-person (IP) based feedback. This study also considered how different statistical methods can be used to maximize the usefulness and dissemination of the results. Method: An 18-item feedback satisfaction questionnaire was generated from previous studies and was completed by 55 outpatients (45 IP and 10 VC) from a tertiary neurorehabilitation setting. The main diagnoses represented in this sample were Traumatic Brain Injury (62%), Acquired Brain Injury (10%), and Multiple Sclerosis (10%). Each item was analysed using five different statistical methods. Results: For all but one item, similar levels of satisfaction and understanding were found across feedback modalities. A significant relationship was noted for a single satisfaction item in four of five statistical methods (correlational r = −.29, p < .05; independent t-test t = 2.24, p < .05, matched case t-test t = 3.28, p < .05; and logistic regression eB = 2.84, p < .05); however, receiver operator characteristic analysis, which better controls for unequal sample sizes and low base rate events, suggested that the aforementioned finding is likely spurious (AUC = .66, p > .05). Conclusion(s): The results support the hypothesis that patients have similar levels of self-reported satisfaction and understanding of feedback regardless of modality. Further, a variety of statistical methods should be considered to best analyze data and communicate results. Future investigation should include a larger sample size as well as examine the impact of cognitive factors on satisfaction.