STATISTICAL PROCESS CONTROL: A FEASIBILITY STUDY OF THE APPLICATION OF TIME-SERIES MEASUREMENT IN EARLY NEUROREHABILITATION AFTER ACQUIRED BRAIN INJURY
2017 (English)In: Journal of Rehabilitation Medicine, ISSN 1650-1977, E-ISSN 1651-2081, Vol. 49, no 2, 128-135 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
FOUNDATION REHABILITATION INFORMATION , 2017. Vol. 49, no 2, 128-135 p.
acquired brain injury; statistical process control; cognitive rehabilitation; early intervention; recovery process; time-series analysis
Other Medical Sciences not elsewhere specified
IdentifiersURN: urn:nbn:se:liu:diva-136348DOI: 10.2340/16501977-2172ISI: 000396799000005PubMedID: 27904913OAI: oai:DiVA.org:liu-136348DiVA: diva2:1087890
Funding Agencies|Promobilia Foundation; Swedish Stroke Association (Strokeforbundet); Stockholm County Council; Karolinska Institutet, ALF2017-04-102017-04-102017-04-10