Implementing biomarkers to predict motor recovery after stroke.
BACKGROUND: There is growing interest in using biomarkers to predict motor recovery and outcomes after stroke. The PREP2 algorithm combines clinical assessment with biomarkers in an algorithm, to predict upper limb functional outcomes for individual patients. To date, PREP2 is the first algorithm to...
| Publicado en: | NeuroRehabilitation Vol. 43; no. 1; pp. 41 - 51 |
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| Autores principales: | , , , , |
| Formato: | algorithm review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=130962733&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130962733 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10538135 3RE jtl: NeuroRehabilitation issn: 10538135 maglogo: N pubinfo: dt: 2018 vid: 43 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 130962733 130962733 130962733 10.3233/NRE-172395 130962733 ppf: 41 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Implementing biomarkers to predict motor recovery after stroke. aug: au: Connell, Louise A. Smith, Marie-Claire Byblow, Winston D. Stinear, Cathy M. Harvey, Richard L. affil: School of Health Sciences, University of Central Lancashire, Preston, UK sug: subj: Movement Disorders Diagnosis Movement Disorders Rehabilitation Biological Markers Stroke Complications Movement Disorders Etiology Recovery Algorithms Conceptual Framework Health Care Delivery Medical Practice ab: BACKGROUND: There is growing interest in using biomarkers to predict motor recovery and outcomes after stroke. The PREP2 algorithm combines clinical assessment with biomarkers in an algorithm, to predict upper limb functional outcomes for individual patients. To date, PREP2 is the first algorithm to be tested in clinical practice, and other biomarker-based algorithms are likely to follow. PURPOSE: This review considers how algorithms to predict motor recovery and outcomes after stroke might be implemented in clinical practice. FINDINGS: There are two tasks: first the prediction information needs to be obtained, and then it needs to be used. The barriers and facilitators of implementation are likely to differ for these tasks. We identify specific elements of the Consolidated Framework for Implementation Research that are relevant to each of these two tasks, using the PREP2 algorithm as an example. These include the characteristics of the predictors and algorithm, the clinical setting and its staff, and the healthcare environment. CONCLUSIONS: Active, theoretically underpinned implementation strategies are needed to ensure that biomarkers are successfully used in clinical practice for predicting motor outcomes after stroke, and should be considered in parallel with biomarker development. pubtype: Academic Journal doctype: algorithm review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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