Study Protocol of the International Spinal Cord Injury (InSCI) Community Survey

Mirja H. Gross-Hemmi*, Marcel W. M. Post, Cristina Ehrmann, Christine Fekete, Nazirah Hasnan, James W. Middleton, Jan D. Reinhardt, Vegard Strom, Gerold Stucki, Int Spinal Cord Injury Community

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

86 Citations (Scopus)

Abstract

Objective: The Learning Health System for Spinal Cord Injury (LHS-SCI) is an initiative embedded in the World Health Organization's (WHO's) Global Disability Plan and requires the statistical collection of data on the lived experience of persons with SCI to consequently formulate recommendations and policies. The International Spinal Cord Injury (InSCI) community survey has been developed as an initial step to gain information about the lived experience of persons with SCI within and across diverse nations.

Design: InSCI is a multinational community survey based on the International Classification of Functioning, Disability and Health Core Sets for SCI and involves 28 countries from all six WHO regions. The study will be implemented in 2017. Overall aims, guiding principles on sampling strategies, data collection modes, and reminder management are described.

Conclusions: InSCI will be the first survey to be conducted simultaneously in many countries and in all six WHO world regions that identifies the factors associated with functioning, health, and well-being of persons living with SCI. Expected results of the survey will be used for the basis of conducting stakeholder dialogs for policy reforms designed to improve the functioning, health maintenance, and well-being of persons with SCI.

Original languageEnglish
Pages (from-to)S23-S34
Number of pages12
JournalAmerican Journal of Physical Medicine and Rehabilitation
Volume96
Issue number2
DOIs
Publication statusPublished - Feb-2017

Keywords

  • Spinal Cord Injuries
  • Community Survey
  • International Classification of Functioning
  • Disability
  • Health
  • PSYCHOMETRIC PROPERTIES
  • PERSONAL FACTORS
  • SHORT-FORM
  • HEALTH
  • PARTICIPATION
  • SCALE
  • CLASSIFICATION
  • DISABILITY
  • IMPUTATION
  • VALIDITY

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