Relationship between wheelchair durability and wheelchair type and years of test.
OBJECTIVE
To investigate the relationship between the durability of wheelchairs according to American National Standard for Wheechairs/Rehabilitation Engineering and Assistive Technology Society of North America (ANSI/RESNA) Wheelchair Standards and wheelchair type as well as year of test.


METHODS
A retrospective study design with a sample of 246 wheelchairs that were tested in accordance with the ANSI/RESNA standards from 1992 to 2008 including four types of wheelchairs: manual wheelchair (MWC), electrical powered wheelchair (EPW), scooters and pushrim-activated power-assisted wheelchair (PAPAW). Unconditional binary logic regression analysis was chosen to evaluate the relationship between test results and test year as well as wheelchair type.


METHODS
Rehabilitation Engineering Research Center.


METHODS
Wheelchair durability test result (fatigue test: pass or fail)


RESULTS
There was no significant correlation between the year when tested and equivalent cycles. A significant relation was found between test results and wheelchair type (Wald score = 10.845, degree of freedom = 3, p = 0.013) with scooters having a significantly higher pass ratio than MWC (OR = 15.629, 95% CI = 2.026-120.579). EPW also had significantly higher pass ratio than MWC (OR = 1.953, 95% CI = 1.049-3.636). No significant difference on pass ratio was found between PAPAW and MWC.


CONCLUSIONS
No significant improvements in wheelchair test results during the time frame from 1992 to 2008 were discovered. Wheelchair standard tests should be conducted to assure minimum quality of the wheelchairs and for improving the design of wheelchairs. Although the ANSI/RESNA wheelchair durability test procedures have remained consistent, it does not appear that the introduction of new materials, designs and the availability of test data have improved wheelchair fatigue life.
Wang
Hongwu
H
Human Engineering Research Laboratories, VA Rehabilitation Research & Development Service, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania 15206, USA.
Liu
Hsin-Yi
HY
Pearlman
Jon
J
Cooper
Rosemarie
R
Jefferds
Alexandra
A
Connor
Sam
S
Cooper
Rory A
RA
D016001:Confidence Intervals; D016208:Databases, Factual; D004867:Equipment Design; D006801:Humans; D016015:Logistic Models; D051346:Mobility Limitation; D016017:Odds Ratio; D012189:Retrospective Studies; D013223:Statistics as Topic; D013997:Time Factors; D014910:Wheelchairs