Do psychological measures predict the ability of lower limb amputees to learn to use a prosthesis?
OBJECTIVE
Can psychological tests predict whether, on admission to a rehabilitation ward post amputation, a lower limb amputee will learn to use a prosthesis during the ensuing inpatient rehabilitation programme?


METHODS
A one-sample design in which psychological variables, and transfemoral/transtibial amputation site were tested as predictors of outcome.


METHODS
An inpatient rehabilitation unit in the UK offering prosthetic provision.


METHODS
Forty-three consecutive patients with peripheral vascular disease (mean age 66.35 years, standard deviation 14.99) who had received an amputation on average 19 days previously on a surgical ward and were transferred to the unit for rehabilitation including assessment for prosthetic provision.


METHODS
Whether the patient learnt to use a prosthesis independently during the stay on the rehabilitation unit.


RESULTS
During their stay in the rehabilitation unit (mean length of stay = 42 days), 31 patients learnt to use a prosthesis and 12 did not. A forward stepwise logistic regression revealed that the Kendrick Object Learning Test score on admission correctly predicted outcome in 70% of cases. The predictive power rose to 81% correct when the amputation site (transfemoral or transtibial) was included amongst the predictors. Anxiety, depression and recovery locus of control scores were not significant predictors of functional prosthetic use in this study.


CONCLUSIONS
A simple test of learning ability and the amputation site can help to predict the patient's ability to learn to use a prosthesis following amputation and is recommended as part of the assessment process.
Larner
Stuart
S
Manchester Royal Infirmary, Manchester, UK. slarner@psy.cmht.nwest.nhs.uk
van Ross
Ernest
E
Hale
Carolyn
C
D000368:Aged; D000671:Amputation, Surgical / Q000523:psychology / Q000534:rehabilitation*; D001186:Artificial Limbs / Q000523:psychology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D016491:Peripheral Vascular Diseases / Q000601:surgery*; D011237:Predictive Value of Tests; D006113:United Kingdom