Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review.

Study design: Literature review and survey. Objectives: To provide an overview of existing computerized International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms and to evaluate the use of the current algorithms in research and clinical care. Setting: Not app...

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Publicado en:Spinal Cord Vol. 61; no. 2; pp. 125 - 133
Autores principales: Walden, Kristen, Schuld, Christian, Noonan, Vanessa K., Rupp, Rüdiger
Formato: pictorial review tables/charts Journal Article
Publicado: Springer Nature Feb2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Feb2023
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      pub: Springer Nature
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        10.1038/s41393-022-00854-2
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        atl: Computer International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms: a review.
      aug:
        au:
          Walden, Kristen
          Schuld, Christian
          Noonan, Vanessa K.
          Rupp, Rüdiger
        affil: Praxis Spinal Cord Institute, Vancouver, BC, Canada
      sug:
        subj:
          Spinal Cord Injuries Classification
          Algorithms
          Data Quality
      ab: Study design: Literature review and survey. Objectives: To provide an overview of existing computerized International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) algorithms and to evaluate the use of the current algorithms in research and clinical care. Setting: Not applicable. Methods: Literature review according to three organizing concepts for evaluation of Health Information Products (reach, usefulness, and use) was conducted. Results: While the use of computerized ISNCSCI algorithms has been around for many years, many were developed and used internally for specific projects or not maintained. Today the International SCI community has free access to algorithms from the European Multicenter Study about Spinal Cord Injury (EMSCI) and the Praxis Spinal Cord Institute. Both algorithms have been validated in large datasets and are used in different SCI registries for quality control and education purposes. The use of the Praxis Institute algorithm by clinicians was highlighted through the Praxis User Survey (n = 76) which included participants from 27 countries. The survey found that over half of the participants using the algorithm (N = 69) did so on a regular basis (51%), with 54% having incorporated it into their regular workflow. Conclusions: Validated computerized ISNCSCI classification tools have evolved substantially and support education, clinical documentation, communication between clinicians and their patients, and ISNCSCI data quality around the world. They are not intended to replace well-trained clinicians, but allow for reclassification of ISNCSCI datasets with updated versions of the ISCNSCI, and support rapid classification of large datasets.
      pubtype: Academic Journal
      doctype:
        pictorial
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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