Active Brain & Nervous System NIHR-supported project

CognoSCI

In plain English

AI plain-English summary

A 16-question online survey and focus groups are now gathering data from clinicians and patients across all 11 UK Spinal Injuries Centres to pin down how many people with spinal cord injury develop cognitive impairment. This matters because the true rate of cognitive problems after spinal cord injury is unknown. Standard cognitive tests require hand function—typing, writing, or pressing buttons—which many patients with spinal cord injury cannot perform. As a result, clinicians may miss or underestimate cognitive decline in this group, leaving patients without appropriate support or treatment. If the survey and focus groups succeed, they will produce the first reliable estimate of cognitive impairment incidence in the UK spinal cord injury population. This could change how clinicians screen for cognitive problems, replacing hand-dependent tests with alternatives that work for patients with limited hand function. The findings may also inform routine care pathways at spinal injury centres, ensuring cognitive health is monitored alongside physical rehabilitation. The project does not develop a new diagnostic tool or treatment—it establishes the scale of the problem, which is a necessary first step before designing better screening methods or interventions.

View original technical description
Patients with a spinal cord injury (SCI) have higher risk of cognitive impairment (CI). The true incidence of CI in this group is unclear due to the difficulty in administering commonly used assessments, which rely on hand function. Aim of the project is to complete A 16-question online survey was sent to registered clinicians at each of the 11 UK Spinal Injuries Centres. Online focus groups were performed to gain patient perspectives.

Researchers

Hamish Patel (Principal Investigator)

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Original classification

Long Term Neurological Conditions

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.