Statistical process control: A feasibility study of the application of time-series measurement in early neurorehabilitation after acquired brain injury
DOI:
https://doi.org/10.2340/16501977-2172Keywords:
acquired brain injury, statistical process control, cognitive rehabilitation, early intervention, recovery process, time-series analysis.Abstract
Background: Progress in early cognitive recovery after acquired brain injury is uneven and unpredictable, and thus the evaluation of rehabilitation is complex. The use of time-series measurements is susceptible to statistical change due to process variation. Objective: To evaluate the feasibility of using a time-series method, statistical process control, in early cognitive rehabilitation. Method: Participants were 27 patients with acquired brain injury undergoing interdisciplinary rehabilitation of attention within 4 months post-injury. The outcome measure, the Paced Auditory Serial Addition Test, was analysed using statistical process control. Results: Statistical process control identifies if and when change occurs in the process according to 3 patterns: rapid, steady or stationary performers. The statistical process control method was adjusted, in terms of constructing the baseline and the total number of measurement points, in order to measure a process in change. Conclusion: Statistical process control methodology is feasible for use in early cognitive rehabilitation, since it provides information about change in a process, thus enabling adjustment of the individual treatment response. Together with the results indicating discernible subgroups that respond differently to rehabilitation, statistical process control could be a valid tool in clinical decision-making. This study is a starting-point in understanding the rehabilitation process using a real-time-measurements approach.Downloads
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Copyright (c) 2016 Gabriela Markovic, Marie-Louise Schult, Aniko Bartfai, Mattias Elg
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