Validation of the NHANES ADL scale in a sample of patients with report of cervical pain: factor analysis, item response theory analysis, and line item validity.
BACKGROUND
Few functional outcomes scales have used Item Response Theory (IRT) for validation. IRT allows individual line item validations and offers substantial advantages over classic methods of scale validation or the simplest from of IRT known as Rasch. Rasch analysis reduces data to dichotomous variables thus decreasing the sensitivity of Likert-type data responses.


OBJECTIVE
The purpose of this study was to create an outcome scale associated with the latent trait of functioning and disability, validated using IRT, in a population with report of cervical pain.


METHODS
Using the NHANES database, a recently created scale (NHANES ADL scale) was analysed using factor analysis, internal analyses of consistency, IRT, and comparison with internal measures of functioning and disability.


RESULTS
The newly created NHANES ADL scale demonstrated uni-dimensionality, was internally reliable, and was correlated to internal measures of functioning and disability. Additionally, the majority of the scale items demonstrate strong discrimination and suitable thresholds.


CONCLUSIONS
The NHANES ADL scale effectively measures physical, social, and emotional disability in patients with a cervical impairment, and may be an efficient measure of perceived limitations from working and generalized daily physical activity.


CONCLUSIONS
The newly created NHANES ADL scale demonstrates internal consistency, unidimensionality, and line item validity. The NHANES ADL scale appears to be a useful instrument in measurement of functioning and disability in patients with report of cervical pain.
Cook
Chad E
CE
Division of Physical Therapy, Duke University Medical Center, North Carolina 27710, USA. chad.cook@duke.edu
Richardson
Jan K
JK
Pietrobon
Ricardo
R
Braga
Larissa
L
Silva
Henrique Martins
HM
Turner
Dennis
D
D000203:Activities of Daily Living; D004185:Disability Evaluation; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D019547:Neck Pain / Q000503:physiopathology* / Q000523:psychology; D009749:Nutrition Surveys; D011594:Psychometrics; D011795:Surveys and Questionnaires; D014481:United States