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Ability to detect history of falls among individuals with spinal cord injury using upper limb loading during a seated
Arpassanan Wiyanad1,2, Narongsak Khamnon1,2, Thiwabhorn Thaweewannakij1,2
1School of Physical Therapy, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand.
Background:
A history of falls is an important risk factor for future falls, including for individuals with spinal cord injury (SCI) who often experience falls and subsequent injuries. This may be even more pronounced during the current COVID-19 pandemic because of the extreme shortage of hospital admission and restricted access to important services. Therefore, the ability of detecting a history of falls that can be applied to wheelchair users and ambulatory individuals with SCI in various settings are essential.
Aim:
To investigate the discriminative ability of three clinical measures-the handgrip (HG) test, Spinal Cord Independence Measure (SCIM) III and Upper Limb Loading During a Seated Push-Up Test (ULL-SPUT)-in discriminating individuals with SCI with and without a history of falls over the past six months.
Design:
A 6-month retrospective observational cohort study.
Setting:
Inpatient tertiary rehabilitation center.
Population:
One hundred and fourteen wheelchair users and ambulatory individuals with SCI.
Methods:
The participants were interviewed and assessed for their demographics, SCI characteristics and fall data over the past six months, with data confirmation from related events, their caregivers and medical records. Subsequently, they were assessed using the HG test, SCIM III, and ULL-SPUT.
Results:
In total, 29 participants (25%) fell during the past six months (with the number of falls ranging from 1-20, with minor consequences after the falls). Among the three clinical measures assessed in this study, the ULL-SPUT data of faller participants were significantly higher than those of non-fallers (P<0.05).
Conclusions:
The limited rehabilitation length and increased staying home and social isolation prompted by the COVID-19 pandemic may have reduced the fall rates of the participants. The findings suggest a higher likelihood of falls among wheelchair users and ambulatory individuals with SCI who have good mobility as determined using ULL-SPUT data.
Clinical Rehabilitation Impact:
Apart from being an important rehabilitation strategy, the present findings suggest an additional benefit of ULL-SPUT to identify individuals with SCI with a likelihood of future falls. The measurement can be done easily using digital bathroom scales placing over a flat and smooth surface. Therefore, it would enable the timely initiation of fall prevention strategies in various clinical, community, home and research settings; particularly in this COVID-19 pandemic of limited beds and hospital services for these individuals.
