Implementation of multilingual support of the European Multicenter Study about Spinal Cord Injury (EMSCI) ISNCSCI calculator

The International Standards for Neurological Classification of Spinal Cord Injury: Classification Accuracy and Challenges

Background

Successful utilization of the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) requires a comprehensive understanding of its rules, terminology, and several complex concepts. There have been no studies investigating classification accuracy since the newest ISNCSCI revision (2019).

Objectives

To evaluate classification accuracy of SCI professionals using the 2019 ISNCSCI edition, identify common mistakes and areas of confusion, and assess associations between experience in ISNCSCI classification and performance.

Methods

Members of the International Spinal Cord Society (ISCoS) and attendees of the ISCoS Annual Scientific Meeting 2021 were invited to complete an online survey that included six ISNCSCI cases to classify.

Results

A total of 107 persons completed the survey, with overall classification accuracy of 74.6%. Accuracy was highest for injury completeness (95.3%) and sensory level (91.1%) and lowest for motor zone of partial preservation (ZPP; 54.7%) and ASIA Impairment Scale (AIS) grade (57.3%). Newer concepts, including the appropriate documentation of non-SCI conditions and classification of ZPP in incomplete injuries, contributed to several common errors. There was a significant association between overall classification accuracy and self-rated experience in the ISNCSCI classification (p = .017). Experience with the ISNCSCI examination, experience in SCI medicine, and occupation were not found to be significantly associated with overall classification accuracy.

Conclusion

Classification accuracy of an international cohort of SCI professionals was modest but greater than previous reports. Knowledge deficits about the 2019 ISNCSCI updates are prevalent and contribute to common classification errors. Further training in the utilization of the ISNCSCI is needed.

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 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.