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WHODAS-II and DUSOCS perform best in measuring disability and social support respectively.
In addition, patients were clinically evaluated with disease-specific severity scales, and with standardised instruments measuring disability and quality of life.
At present, the availability of accurate and reliable socioeconomic statistics on disability varies greatly across countries mainly as a result of the multitude of theoretical and methodological approaches for measuring disability and functioning in population based surveys [ 15– 17].
Most changes in secondary variables measuring disability and pain favoured surgical treatment, though there were no significant differences between groups in FABQ work, FABQ physical, SF-36 mental health, EQ-5D, HSCL-25, drug consumption, return to work, and the back performance scale in the main analysis.
Generally, reports were included in this review if they described instruments with face validity for measuring disability, and thus closely reflect the fourth dimension of the Nagi [ 27] model (Difficulty doing activities of daily life, such as employment, household management, leisure activities, personal care, etc).
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It uses established and previously validated items for diagnosis and to measure disability and depression.
In addition, we have used the Barthel Index and the Zarit scale as proxies to measure disability and severity.
These findings support the validity of WHODAS-2 to measure disability and its use as an outcome which complements HRQL.
However, the results of our study clearly demonstrate the limits of the DASH when used to measure disability and functioning with a population affected by DC.
In order to be recommended, instruments for measuring disability should be accurate and reliable.
Similarly, a patient's baseline functional status is delineated through initial PROM collection, i.e. by measuring disability, HRQOL, work status, and (when applicable) duration of sick leave.
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