Standardized measurement of sensorimotor recovery in stroke trials: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable.

Finding, testing and demonstrating efficacy of new treatments for stroke recovery is a multifaceted challenge. We believe that to advance the field, neurorehabilitation trials need a conceptually rigorous starting framework. An essential first step is to agree on definitions of sensorimotor recovery and on measures consistent with these definitions. Such standardization would allow pooling of participant data across studies and institutions aiding meta-analyses of completed trials, more detailed exploration of recovery profiles of our patients and the generation of new hypotheses. Here, we present the results of a consensus meeting about measurement standards and patient characteristics that we suggest should be collected in all future stroke recovery trials. Recommendations are made considering time post stroke and are aligned with the international classification of functioning and disability. A strong case is made for addition of kinematic and kinetic movement quantification. Further work is being undertaken by our group to form consensus on clinical predictors and pre-stroke clinical data that should be collected, as well as recommendations for additional outcome measurement tools. To improve stroke recovery trials, we urge the research community to consider adopting our recommendations in their trial design.

Protocol: http://wso.sagepub.com/content/11/4/454

Contributors

Gert Kwakkel, Natasha A Lannin, Karen Borschmann, Coralie English, Myzoon Ali, Leonid Churilov, Gustavo Saposnik, Carolee Winstein, Erwin EH van Wegen, Steven L Wolf, John W Krakauer, Julie Bernhardt

Professor Julie Bernhardt is chair of the SRRR organising committee and co-chair of "Measurement in Clinical Trials" working group.

Professor Gert Kwakkel is chair of the "Measurement in Clinical Trials" working party.

Publication

Journal: International Journal of Stroke
Volume: 12
Issue: 5
Pages: 451 - 461
Year: 2017
DOI: 10.1177/1747493017711813

Further Study Information

Current Stage: Not Applicable
Date: June 2015 - 2016
Funding source(s): JB was supported by NHMRC (1058635) and NL holds a NHMRC TRIP fellowship (GNT1112158). We acknowledge the following organizations for their financial support of the meeting: NHMRC CRE Stroke Rehabilitation & Brain Recovery (Australia), Heart and Stroke Foundation of Canada, Heart and Stroke Foundation Canadian Partnership for Stroke Recovery. An unrestricted educational grant was provided by Ipsen Pharma.The Florey Institute of Neuroscience and Mental Health acknowledges support from the Victorian Government, in particular funding from the Operational Infrastructure Support Grant.


Health Area

Disease Category: Neurology, Rehabilitation

Disease Name: Stroke

Target Population

Age Range: 18 - 105

Sex: Either

Nature of Intervention: Rehabilitation

Stakeholders Involved

- Clinical experts
- Governmental agencies
- Journal editors
- Methodologists
- Researchers
- Service providers
- Statisticians

Study Type

- COS for clinical trials or clinical research

Method(s)

- Consensus conference
- Semi structured discussion
- Survey

The first stage in the process was identification of (potentially multiple) desirable criteria to be used for assessing alternative outcome measures and the relative importance of this criteria. The second stage involved individual decision-makers to rank order the measures according to every criterion, and the final stage was to aggregate the individual rank order lists into the whole group rank order list. The first two stages draw on “value focussed thinking” work by Ralph Keeney {www.hup.harvard.edu/catalog.php?isbn=9780674931985} and “Decision Aids for Selection Problems” monograph by David Olson {http://link.springer.com/book/10.1007%2F978-1-4612-3982-6}, while the third stage is based on the work by Utley et al (2007) “A consensus process for identifying a prioritised list of study questions” published in Health Care Management Science {http://www.ncbi.nlm.nih.gov/pubmed/17323658}


The proposed approach is different to the Delphi process

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