Widerström-Noga, Eva; Biering-Sørensen, Fin; Bryce, Thomas N; Cardenas, Diana D; Finnerup, Nanna B; Jensen, Mark P; Richards, J Scott; Rosner, Jan; Taylor, Julian (2023). The international spinal cord injury pain basic data set (version 3.0). Spinal cord, 61(10), pp. 536-540. Nature Publishing Group 10.1038/s41393-023-00919-w
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STUDY DESIGN
Expert opinion, feedback, revisions, and final consensus.
OBJECTIVES
To update the International Spinal Cord Injury Pain Basic Data Set (ISCIPBDS version 2.0) and incorporate suggestions from the SCI pain clinical and research community with respect to overall utility.
SETTING
International.
METHODS
The ISCIPBDS working group evaluated these suggestions and made modifications. The revised ISCIPBDS (Version 3.0) was then reviewed by members of the International SCI Data Sets Committee, the American Spinal Injury Association (ASIA) Board, the International Spinal Cord Society (ISCoS) Executive and Scientific Committees, individual reviewers and societies, and posted on the ASIA and ISCoS websites for 1 month to elicit comments before final approval by ASIA and ISCoS.
RESULTS
The ISCIPBDS (Version 3.0) was updated to make the dataset more flexible and useful: 1. The assessment can be based on the patient's perception of several of his/her "worst" pain(s) or based on the International SCI Pain (ISCIP) Classification-defined or other pain types, depending on the specific research questions or clinical needs. 2. Pain interference should usually be rated for overall pain but may also be used for specific pain problems if needed. 3. An optional pain drawing was added to complement the check box documentation of pain location. 4. Data categories consistent with the Extended Pain Dataset list of current treatments were added. 5. Several new training cases were added.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology |
UniBE Contributor: |
Rosner, Jan |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1362-4393 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
27 Jul 2023 13:48 |
Last Modified: |
12 Oct 2023 00:13 |
Publisher DOI: |
10.1038/s41393-023-00919-w |
PubMed ID: |
37491608 |
BORIS DOI: |
10.48350/185074 |
URI: |
https://boris.unibe.ch/id/eprint/185074 |
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