Linking the Disabilities of Arm, Shoulder, and Hand to the International Classification of Functioning, Disability, and Health

Drummond, A; Sampaio, Rosana Ferreira; Mancini, Marisa C.; Kirkwood, Renata Noce; Stamm, Tanja

doi:10.1197/j.jht.2007.07.008

Cited by 78 publications

(81 citation statements)

References 20 publications

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“…We found a small correlation between MHQ and impairment was not similar to that for the DASH. These two outcome measure are routinely used for evaluating disability, but because they are not captured, all the domains of disability constructs based on ICF (International Classification of Function and Diseases) [6,15] are the same; they may present a different view of disability.…”

Section: Discussionmentioning

confidence: 99%

Does Disability Correlate With Impairment After Hand Injury?

Farzad

Asgari

Dashab

et al. 2015

Clinical Orthopaedics &Amp; Related Research

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Background Any loss or deviation in body function and structure is considered impairment, whereas limitations on activities are fundamental to the definition of disability. Although it seems intuitive that the two should be closely related, this might not be the case; there is some evidence that psychosocial factors are more important determinants of disability than are objective impairments. However, the degree to which this is the case has been incompletely explored.Questions/purposes The purpose of this study was to determine if disability (as measured by the Disabilities of the Arm, Shoulder and Hand [DASH] and the Michigan Hand Questionnaire [MHQ]) and pain intensity correlate with impairment (as measured by the American Medical Association [AMA] impairment guide). Secondary study questions addressed the effect of pain intensity and symptom of depression on predicting disability. Methods Impairment and disability were evaluated in a sample of 107 hand-injured patients a mean of 11 months after injury. Impairment rating was performed prospectively. From the patients who came for therapy, they were invited to fill out the questionnaire and evaluated for impairment rating. Response variables of DASH, MHQ, and visual analog scale pain intensity values were collected at the same setting. Other explanatory variables included demographic, injury-related, and psychological factors (symptoms of depression measured with the Beck Depression Inventory). Initial bivariate and multivariate analyses were performed to determine correlations of disability and pain to impairment rating and other exploratory variables.Each author certifies that he or she, or a member of his or her immediate family, has no funding or commercial associations (eg, consultancies, stock ownership, equity interest, patent/licensing arrangements, etc) that might pose a conflict of interest in connection with the submitted article. All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research 1 editors and board members are on file with the publication and can be viewed on request. Each author certifies that his or her institution approved the human protocol for this investigation, that all investigations were conducted in conformity with ethical principles of research, and that informed consent for participation in the study was obtained. 123 Clin Orthop Relat Res (2015) 473:3470-3476 DOI 10.1007/s11999-015-4228-7 Clinical Orthopaedics and Related Research ® A Publication of The Association of Bone and Joint Surgeons®Results Disability as measured by the DASH showed intermediate correlation with AMA impairment (r = 0 .38, beta = 0.36, p = 0.000). Together with gender, it accounted for only 22% of the variability in DASH scores. Similarly, MHQ score correlated with impairment rating (r = À0.24, beta = À0.23, p \ 0.05). However, together with age, injured hand accounted for only 19% of the variability in MHQ scores. However, pain intensity did not correlate with impairment (r = À0.46, p [ 0.05). Interestingly...

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Section: Discussionmentioning

confidence: 99%

Does Disability Correlate With Impairment After Hand Injury?

Farzad

Asgari

Dashab

et al. 2015

Clinical Orthopaedics &Amp; Related Research

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“…The DASH is intended to capture a broad picture of disability across a range of conditions affecting the shoulder, elbow, or hand (Hudak et al, 1996). The World Health Organization's (2001) International Classification of Functioning, Disability and Health (ICF) guided the instrument's development so that items address body function impairment, activity limitations, and participation restriction (Dixon, Johnston, McQueen, & Court-Brown, 2008;Silva Drummond, Ferreira Sampaio, Cotta Mancini, Noce Kirkwood, & Stamm, 2007). The DASH has been subject to extensive psychometric analyses; it has shown good reliability (Raven et al, 2008;Solway et al, 2002), validity (Gummesson, Atroshi, & Ekdahl, 2003;Navsarikar, Gladman, Husted, & Cook, 1999;SooHoo, McDonald, Seiler, & McGillivary, 2002), and responsiveness (Gay, Amadio, & Johnson, 2003;Greenslade, Mehta, Belward, & Warwick, 2004;MacDermid & Tottenham, 2004;Jester, Harth, & Germann, 2005;Kotsis & Chung, 2005) across a variety of orthopedic and neurological upper-extremity conditions (Beaton et al, 2001;Davis et al, 1999;Rosales, Delgado, & Díez de la Lastra-Bosch, 2002).…”

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confidence: 99%

Examination of the Factor Structure of the Disabilities of the Arm, Shoulder, and Hand Questionnaire

Lehman

Woodbury

Velozo

2011

The American Journal of Occupational Therapy

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OBJECTIVE. The Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire is a global scale evaluating the impact of upper-extremity disorders. We sought to validate or challenge the unidimensional factor structure of the DASH. METHOD. Secondary analysis was performed on data collected from outpatient clinics. Factor analysis was performed in two steps, exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA). To provide further support for unidimensionality, fit statistics were calculated using the Andrich Rasch rating-scale model. RESULTS. EFA revealed three potential factors (eigenvalues = 18.40, 1.56, and 1.54). CFA was performed fitting a three-factor model. Tucker-Lewis Index (.99) and standardized root mean square residual (.05) values indicated good fit. Comparative fit index (.89) and root mean square error of approximation (.13) did not. When divided into three constructs, only one item misfit. CONCLUSION. More research is needed to determine situations in which division of the DASH may enhance interpretability.

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“…For stroke, the core set comprises a group of 130 categories in the second classification level 8 . A number of studies have promoted a systematic association of specific domains of clinical assessment tools with corresponding ICF categories to facilitate the standardization of rehabilitation diagnosis 10,[13][14][15] . One study showed that the ICF includes most of the items found in the Stroke Impact Scale (SIS-16) for measuring functional status 16 .…”

Section: Introductionmentioning

confidence: 99%