The shortened disabilities of the arm, shoulder and hand questionnaire (Quick DASH): validity and reliability based on responses within the full-length DASH
The 30-item disabilities of the arm, shoulder and hand (DASH) questionnaire is increasingly used in clinical research involving upper extremity musculoskeletal disorders. From the original DASH a shorter version, the 11-item Quick DASH, has been developed. Little is known about the discriminant ability of score changes for the Quick DASH compared to the DASH. The aim of this study was to assess the performance of the Quick DASH and its cross-sectional and longitudinal validity and reliability.
Methods
The study was based on extracting Quick DASH item responses from the responses to the full-length DASH questionnaire completed by 105 patients with a variety of upper extremity disorders before surgery and at follow-up 6 to 21 months after surgery. The DASH and Quick DASH scores were compared for the whole population and for different diagnostic groups. For longitudinal construct validity the effect size and standardized response mean were calculated. Analyses with ROC curves were performed to compare the ability of the DASH and Quick DASH to discriminate among patients classified according to the magnitude of self-rated improvement. Cross-sectional and test-retest reliability was assessed.
Results
The mean DASH score was 34 (SD 22) and the mean Quick DASH score was 39 (SD 24) at baseline. For the different diagnostic groups the mean and median Quick DASH scores were higher than the corresponding DASH scores. For the whole population, the mean difference between the Quick DASH and DASH baseline scores was 4.2 (95% CI 3.2–5.3), follow-up scores was 2.6 (1.7–3.4), and change scores was 1.7 (0.6–2.8).
The overall effect size and standardized response mean measured with the DASH and the Quick DASH were similar. In the ROC analysis of change scores among patients who rated their arm status as somewhat or much better and those who rated it as unchanged the difference in the area under the ROC curve for the DASH and Quick DASH was 0.01 (95% CI -0.05–0.07) indicating similar discriminant ability.
Cross-sectional and test-retest reliability of the DASH and Quick DASH were similar.
Conclusion
The results indicate that the Quick DASH can be used instead of the DASH with similar precision in upper extremity disorders.
Background
Patient-reported outcome measures have become an important part of the assessments used in clinical studies. One of the outcome measures intended for upper extremity disorders is the 30-item disabilities of the arm, shoulder and hand (DASH) questionnaire, which has been assessed regarding reliability, cross-sectional validity and longitudinal validity in a variety of arm disorders [1–3]. The use of the DASH has been growing rapidly in clinical trials and other studies of upper extremity disorders and it is now available in several languages [4].
From the original DASH questionnaire a shorter version, named the Quick DASH, has been developed using what was called a "concept-retention" approach [5]. The Quick DASH consists of 11 items from the original 30-item DASH. The Quick DASH may be more appealing to use than the DASH because a shorter questionnaire is associated with less burden on the responder as well as less administrative burden. To date, data regarding the development process and various aspects of reliability and validity have been published only for the English version of the Quick DASH [5]. It is important that translated versions of shortened questionnaires also are subjected to an appropriate validation process. Furthermore, little is known about how the Quick DASH scores can be interpreted in comparison to the DASH scores or which version is more favorable with respect to precision of the scoring.
To determine whether a shortened questionnaire may be used to replace an existing full-length questionnaire, several assessments can be performed to show that the short version should be measuring what the original version is measuring. Different aspects of cross-sectional validity can be compared [6]. Further, longitudinal construct validity, which concerns the measure's ability to detect a true change in health status and its precision in detecting changes of different magnitudes (also referred to as responsiveness or sensitivity to change) needs to be addressed to determine the clinical usefulness of the short version [7–9].
The purpose of this study was to evaluate the performance of the 11-item Quick DASH in comparison to the full-length 30-item DASH regarding different aspects of validity and reliability. The data for the Quick DASH were extracted from the full-length DASH.
Methods
Design
This study was designed as a reanalysis of collected data for the 30-item DASH questionnaire, from which scores for both the DASH and the Quick DASH were calculated. The data collection process for the assessment of the longitudinal construct validity of the DASH has been described previously [10]. The study was conducted in agreement with the local ethical guidelines for clinical studies and informed consent was obtained from the participants.
Questionnaire
The DASH questionnaire mainly consists of a 30-item disability/symptom scale. The two optional scales of the DASH (sport/music and work) were not part of the study. Each item in the disability/symptom scale has 5 response options. If at least 27 of the 30 items are completed a scale score, ranging from 0 (no disability) to 100 (most severe disability), can be calculated.
From the full-length DASH the 11 items that constitute the Quick DASH were extracted. To calculate a Quick DASH score at least 10 of the 11 items must be completed. Similar to the DASH, each item has 5 response options and, from the item scores, scale scores are calculated, ranging from 0 (no disability) to 100 (most severe disability).
The follow-up questionnaire included an item inquiring about change in the status of the arm as compared to its status before surgery. The item had 5 response options; much better, somewhat better, unchanged, somewhat worse, much worse. This item was accidentally missing in the initially mailed questionnaires and was therefore only completed by the last 83 participants, 82 of whom had Quick DASH scores and could be included in the present analysis.
Setting and participants
From an orthopedic department 109 of 118 consecutive patients with upper extremity disorders who fulfilled the eligibility criteria (scheduled for elective surgery, 18 years or older, symptom duration of at least 2 months, able to answer questionnaires) responded to the Swedish version of the DASH before surgery and at the follow-up evaluation. The follow-up was done at 6 to 21 (mean 12) months after surgery.
Of the 109 responders, 105 had responded to at least 10 of the 11 items used in the Quick DASH and were included in the analysis. The mean age of the 105 participants was 52 (range 18–83) years; 60 (57%) were women and 45 were men.
Analysis
The baseline, follow-up and change scores for the DASH and the Quick DASH were calculated for the whole population and for specific diagnostic groups.
To study the longitudinal construct validity the effect size (mean change score divided by the standard deviation of the baseline scores) and the standardized response mean (mean change score divided by the standard deviation of the change scores) for the DASH and Quick DASH were calculated.
To compare the performance of the DASH and the Quick DASH in discriminating among patients who differed in the degree of arm-related disability, receiver operating characteristic (ROC) curves were constructed using change scores (baseline to follow-up) as the test variable and patients' responses to the global item concerning perceived change in arm status after surgery as the dichotomized classifying variable; the difference in the areas under the ROC curves for the two questionnaire versions was calculated [11, 12]. In the first ROC analysis the DASH and Quick DASH were compared with regard to their ability to discriminate the patients who rated their arm status as "much better" or "somewhat better" (combined into one group) from those who rated it as "unchanged". In the second analysis the ability to discriminate the "much better" group from the "somewhat better" group was compared. The difference in the areas under the ROC curves indicates the magnitude of the difference in the discriminant ability of the two measures. The number of patients who had reported worsening was too small to perform an analysis comparing the ability of the 2 measures to detect deterioration.
To assess reliability the Cronbach alpha coefficient was calculated for the baseline and follow-up item responses. Agreement between the Quick DASH and the full-length DASH was assessed with the intraclass correlation coefficient (ICC) using the 2-way mixed and absolute agreement model [13]. The difference between the DASH scores and the Quick DASH scores was assessed with the paired-samples t-test. Because the Quick DASH responses were extracted from the full-length DASH some degree of correlation between part of the questionnaire and the whole is expected. To explore the possible effect of this factor we created two hypothetical 11-item short-forms by computer-generated random selection from the 30 items of the full-length DASH. These random 11-item short-forms were analyzed with regard to reliability in a similar fashion as done with the Quick DASH.
Test-retest reliability was studied in a subgroup of 30 patients (14 women) with a mean age of 54 (range 27–79) years, who had completed the full-length DASH on two occasions prior to surgery with a median interval of 5 (range 5–17) days [14]. The scores for the DASH, Quick DASH and the random short-forms from both response times were calculated. The ICC (2-way mixed, absolute agreement) and the paired-samples t-test were used for this analysis.
Results
Cross-sectional validity
The baseline mean DASH score was 34 (SD 22) and the mean Quick DASH score was 39 (SD 24) (Table 1). A best possible score of zero (ceiling) at baseline was recorded for the Quick DASH in 3 patients (2.9%) and for the DASH in 1 patient (1%) and a score of less than 10 was found in 19 patients (18%) and 20 patients (19%), respectively (Figure 1). At follow-up, 12 patients (14%) had a best possible Quick DASH and 10 (9.5%) a best possible DASH score. No patient had a score exceeding 90 at any evaluation except for 1 patient who had a Quick DASH score of 93 at follow-up.
Table 1
The DASH and Quick DASH scores at baseline and follow-up for the 105 responders.
Baseline
Follow-up
Difference
Mean (SD)
Median (IQR)
Mean (SD)
Median (IQR)
Mean (SD)
Median (IQR)
Effect Size
Standardized Response Mean
DASH
35
(22)
33
(15–50)
24
(23)
16
(4–42)
10
(17)
8
(1–21)
0.46
0.61
Quick DASH
39
(24)
39
17–59)
27
(25)
18
(5–47)
12
(19)
9
(0–27)
0.50
0.63
The scores for both scales range from 0 (no disability) to 100 (most severe disability).
IQR, interquartile range
The mean difference between the Quick DASH and the DASH scores at baseline was 4.2 (SD 5.4) and the mean difference at follow-up was 2.6 (SD 4.6). The mean difference between the Quick DASH and DASH change scores was 1.7 (SD 5.8; 95% CI 0.6–2.8).
For the different diagnostic groups the mean and median Quick DASH scores were higher than the corresponding DASH scores by up to 5 points in most groups (Table 2). Among patients with shoulder disorders the mean DASH score was 44 (SD 15) and the mean Quick DASH score was 49 (SD 18); the difference among patients with CTS was even larger.
Table 2
The DASH and Quick DASH scores for different diagnostic groups among the 105 responders.
Baseline
Follow-up
Mean (SD)
Median
Mean (SD)
Median
Shoulder disorder (n = 27)
DASH
44 (15)
48
33 (24)
33
Quick DASH
49 (18)
50
37 (25)
34
Carpal tunnel syndrome (n = 19)
DASH
41 (20)
40
28 (26)
15
Quick DASH
49 (20)
46
31 (29)
23
Dupuytren's disease (n = 13)
DASH
19 (23)
8
15 (23)
5
Quick DASH
22 (27)
9
17 (23)
7
Ganglion (n = 7)
DASH
15 (23)
8
11 (15)
5
Quick DASH
16 (22)
14
12 (14)
9
Trapeziometacarpal arthritis (n = 6)
DASH
48 (17)
48
24 (22)
25
Quick DASH
51 (15)
52
27 (24)
30
Tenosynovitis (n = 9)
DASH
35 (17)
30
20 (19)
8
Quick DASH
39 (17)
34
23 (22)
9
Other (n = 24)
DASH
29 (24)
24
21 (23)
15
Quick DASH
32 (26)
33
23 (23)
16
The scores for both scales range from 0 (no disability) to 100 (most severe disability)
Longitudinal construct validity
When assessing the magnitude of change from baseline to follow-up the overall effect size and standardized response mean measured with the DASH and the Quick DASH were similar (Table 1). Among the 24 patients with shoulder disorders treated with arthroscopic acromioplasty, the effect size measured with the DASH and Quick DASH was 0.79 and 0.74, and the standardized response mean was 0.45 and 0.46, respectively. Among the 19 patients with carpal tunnel syndrome, the effect size of open carpal tunnel release surgery measured with the DASH and Quick DASH was 0.66 and 0.89 and the standardized response mean was 0.98 and 1.05, respectively.
In the ROC analysis of the change scores for the patients who rated their arm status after surgery as better (including "much better" and "somewhat better") and those who rated it as "unchanged", the difference in the area under the ROC curves for the DASH and Quick DASH was 0.01 (95% CI -0.05–0.07), indicating no difference in their ability to discriminate between the 2 groups (Table 3). In the ROC analysis comparing the ability to discriminate the "much better" group from the "somewhat better" group, the difference in the area under the ROC curves for the DASH and the Quick DASH was 0.03 (95% CI -0.03–0.09).
Table 3
The area under the receiver operating characteristic (ROC) curve for the DASH and the Quick DASH, constructed using the change scores for patients classified, according to their response to the global item about self-rated improvement in arm status after surgery, into "much better", "somewhat better" or "unchanged"; item administered to 82 participants.
Area under ROC curve (95% CI)
"better" vs "unchanged"
"much better" vs "somewhat better"
(n = 65)*
(n = 9)
(n = 47)
(n = 18)
DASH
0.81 (0.70–0.89)
0.71 (0.59–0.82)
Quick DASH
0.82 (0.71–0.90)
0.68 (0.56–0.79)
difference between DASH and Quick DASH
0.01 (0.05–0.07), p = 0.8
0.03 (-0.03–0.09), p = 0.3
*combining patients responding "much better" and those responding "somewhat better" to the global item.
The remaining responders to the global item were 6 with "much worse" and 2 "somewhat worse" responses.
Reliability
Quick DASH
In the assessment of cross-sectional reliability among the 105 responders, the alpha coefficient for the scores exceeded 0.90 and the corrected item-total correlations (ITC) exceeded 0.62, except for 1 item with ITC of 0.42 at baseline (Table 4). The ICC values for the agreement between the Quick DASH and the DASH scores were high, exceeding 0.90 at baseline and follow-up.
Table 4
Reliability
Scale
Test-retest reliability
Cross-sectional reliability
Agreement with DASH
Baseline
Baseline
Follow-up
Baseline
Follow-up
Agreement
Difference*
Agreement
Difference
Agreement
Difference
ICC (95% CI)†
mean (95% CI)
alpha
ITC range
alpha
ITC range
ICC (95% CI)†
mean (95% CI)‡
ICC (95% CI)†
mean (95% CI)‡
DASH
0.93 (0.86–0.97)
0.9 (- 2.3–4.0)a
0.97
0.41–0.86
0.98
0.57–0.90
1
0
1
0
QuickDASH
0.93 (0.87–0.97)
-0.2(-3.6–3.1)b
0.92
0.42–0.83
0.95
0.63–0.88
0.96 (0.84–0.98)
4.2 (3.2–5.3)
0.97 (0.92–0.99)
2.6 (1.7–3.4)
Random-11 1
0.92 (0.84–0.96)
-2.1(-5.7–1.5)c
0.93
0.55–0.82
0.95
0.55–0.88
0.96 (0.92–0.98)
3.1 (2.0–4.2)
0.97 (0.91–0.98)
3.4 (2.4–4.5)
Random-11 2
0.93 (0.85–0.96)
-0.3(-3.7–3.1)b
0.91
0.42–0.81
0.95
0.62–0.87
0.97 (0.96–0.98)
1.7 (0.7–2.7)
0.99 (0.98–0.99)
0.7 (0–1.4)
*calculated as the score at time 1 minus the score at time 2.
†All ICC values were statistically significant (p < 0.001).
‡All differences between the DASH and the other 3 forms were significant (p ≤ 0.001) except for random-11 form 2 at follow-up (p = 0.053)
In the analysis of test-retest reliability, the ICC for the Quick DASH scores on the 2 response times was high and the mean difference between the Quick DASH scores on the first and second response time was almost zero and the 95% confidence interval was within 4 points in each direction.
Random 11-item forms
The first short-form included 11 randomly selected items from the full-length DASH (items 1, 3, 5, 8, 10, 11, 12, 19, 20, 24, 27). The mean score was 38 (SD 24) at baseline and 28 (SD 26) at follow-up. For the second short-form (items 3, 7, 11, 12, 13, 15, 22, 25, 26, 27, 28), the mean score was 36 (SD 23) at baseline and 25 (SD 24) at follow-up. The reliability coefficients and agreement with the DASH were high and similar to those for the Quick DASH (Table 4).
Discussion
The aim of this study was to compare the performance of the 11-item Quick DASH with that of the 30-item DASH, with the Quick DASH scores extracted from the responses to the full-length DASH. The results indicate that the DASH can be replaced by the shorter Quick DASH. The magnitude of the differences between the DASH and the Quick DASH scores found in this study implies that the same questionnaire should be used in longitudinal studies because the score differences between the questionnaires may inflate small random differences and make them reach the level of an important change.
In all analyses the Quick DASH scores were slightly higher than the corresponding DASH scores, which may be an advantage for the Quick DASH as this allows for larger improvement to occur, provided that the scores considered as "normal" are equal. Among the different diagnostic groups the Quick DASH mean scores were higher; in fact this difference was more pronounced among patients with greater disability, such as those with shoulder disorder, than patients with little disability, such as those with wrist ganglion (Table 2). This suggested that the Quick DASH potentially had better precision in detecting different degrees of disability. To further assess possible differences in the two measures' ability to detect improvement, ROC curves were studied. In all analyses, the confidence intervals for the difference contained null, indicating that no differences were found between the DASH and the Quick DASH in their ability to discriminate among groups that differed in the degree of self-rated improvement in arm status after surgery.
Figure 1
Scatter plot of the Quick DASH and DASH scores at baseline and follow-up.
In the study assessing the English-version Quick DASH the standardized response mean, calculated for the total population of 171 patients with various disorders, was 0.78 for the DASH and 0.79 for the Quick DASH [5]. In our study the standardized response mean for the DASH and Quick DASH also were similar, with values of 0.61 and 0.63, respectively. The mean scores for the DASH and Quick DASH in different diagnostic groups were more similar in the study of the English-version Quick DASH than in our study. However, limited data was available and the score distributions for the groups were not shown making comparisons difficult.
In this study, as in the study that reported the development and validation of the English version [5], the Quick DASH scores were computed from the full-length DASH responses. It is not known if patients' responses to the 11 items would have differed if only the Quick DASH were administered. In a study of the performance of three SF-36 scales (physical functioning, bodily pain and general health perceptions) no significant differences were found when the scales were administered independently compared to when they were administered within the full 8-scale questionnaire [15]. However, these were full scales and not selected items as is the case with the Quick DASH. The results of the present study, based on Quick DASH responses extracted from the full-length DASH, are promising but further assessment of the short version administered to different patient groups would be useful. Because of the small number of patients in certain diagnostic groups as well as the small number of patients with unchanged or worsened self-rated arm status the results involving these groups may need to be interpreted with caution.
The reliability of the Quick DASH was good. However, the 2 randomly constructed 11-item forms also had similarly good reliability and agreement with the DASH. The 2 random short forms showed higher scores than the DASH at baseline and follow-up, which also was found with the Quick DASH. Although the differences were statistically significant, their magnitude may not be considered as clinically important. The findings may suggest that the 30-item full DASH may contain redundant items and that fewer items would be sufficient for assessing disability with the same degree of reliability and validity. It might be argued that the random short forms may not cover all relevant domains. However, the results of the DASH or Quick DASH are usually not presented as a number of separate components or domains because they are not validated as such. Moreover, the DASH and Quick DASH are predominantly composed of activity items that measure physical disability leaving little impact for the non-activity items. Because the item responses were extracted from the responses to the full-length DASH it may not be possible to compare with certainty the individual performance of the Quick DASH as compared to other possible short forms of the DASH.
In this study all participants underwent surgery, an intervention that often results in large score change. The effect size and standardized response mean measured with DASH and Quick DASH in populations treated with surgery may be larger than those measured after other interventions. However, the overall effect size in this population was moderate probably because the different diagnostic groups had large variation in the degree of baseline disability with some groups having low scores before treatment allowing only small score improvement. The results support the use of the Quick DASH even in the assessment of interventions expected to have smaller effect size.
The findings of this study are primarily related to the validity and reliability of the Swedish version of the Quick DASH (available online [4]). Although many aspects also may apply to Quick DASH versions that are derived from other translated full-length versions with established validity and reliability, other language versions would still require appropriate assessment.
Conclusion
The results of this study indicate that the Quick DASH can be used instead of the DASH to measure disability/symptom severity with similar precision in a variety of arm disorders.
Declarations
Acknowledgements
This research was supported in part by the Intramural Research Program of the NIH, National Institute of Arthritis and Musculoskeletal and Skin Diseases, USA, and in part by the Skane County Council's research and development foundation, Sweden, and the Division of Health Sciences, Lund University, Sweden.
Authors’ Affiliations
(1)
National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH
(2)
Department of Health Sciences, Division of Physiotherapy, Lund University
(3)
Department of Orthopedics Hässleholm-Kristianstad, Hässleholm Hospital
References
Hudak PL, Amadio PC, Bombardier C: Development of an upper extremity outcome measure: the DASH (disabilities of the arm, shoulder and hand) [corrected]. The Upper Extremity Collaborative Group (UECG). Am J Ind Med. 1996, 29: 602-608. 10.1002/(SICI)1097-0274(199606)29:6<602::AID-AJIM4>3.0.CO;2-L.View ArticlePubMedGoogle Scholar
Davis AM, Beaton DE, Hudak P, Amadio P, Bombardier C, Cole D, Hawker G, Katz JN, Makela M, Marx RG, Punnett L, Wright JG: Measuring disability of the upper extremity: a rationale supporting the use of a regional outcome measure. J Hand Ther. 1999, 12: 269-274.View ArticlePubMedGoogle Scholar
Beaton DE, Katz JN, Fossel AH, Wright JG, Tarasuk V, Bombardier C: Measuring the whole or the parts? Validity, reliability, and responsiveness of the disabilities of the arm, shoulder and hand outcome measure in different regions of the upper extremity. J Hand Ther. 2001, 14: 128-146.View ArticlePubMedGoogle Scholar
Beaton DE, Wright JG, Katz JN: Development of the QuickDASH: comparison of three item-reduction approaches. J Bone Joint Surg Am. 2005, 87: 1038-1046. 10.2106/JBJS.D.02060.View ArticlePubMedGoogle Scholar
Streiner DL, Norman GR: Health Measurement Scales A practical guide to their development and use. 1995, Oxford: Oxford University Press, 2Google Scholar
Norman G: Hi! How are you? Response shift, implicit theories and differing epistemologies. Qual Life Res. 2003, 12: 239-249. 10.1023/A:1023211129926.View ArticlePubMedGoogle Scholar
Liang MH: Longitudinal construct validity: establishment of clinical meaning in patient evaluative instruments. Med Care. 2000, 38: II84-II90.View ArticlePubMedGoogle Scholar
Terwee CB, Dekker FW, Wiersinga WM, Prummel MF, Bossuyt PM: On assessing responsiveness of health-related quality of life instruments: guidelines for instrument evaluation. Qual Life Res. 2003, 12: 349-362. 10.1023/A:1023499322593.View ArticlePubMedGoogle Scholar
Gummesson C, Atroshi I, Ekdahl C: The disabilities of the arm, shoulder and hand (DASH) outcome questionnaire: longitudinal construct validity and measuring self-rated health change after surgery. BMC Musculoskelet Disord. 2003, 4: 11-10.1186/1471-2474-4-11.View ArticlePubMedPubMed CentralGoogle Scholar
Zweig MH, Campbell G: Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem. 1993, 39: 561-577.PubMedGoogle Scholar
Schuck P: Assessing reproducibility for interval data in health-related quality of life questionnaires: which coefficient should be used?. Qual Life Res. 2004, 13: 571-586. 10.1023/B:QURE.0000021318.92272.2a.View ArticlePubMedGoogle Scholar
Atroshi I, Gummesson C, Andersson B, Dahlgren E, Johansson A: The disabilities of the arm, shoulder and hand (DASH) outcome questionnaire: reliability and validity of the Swedish version evaluated in 176 patients. Acta Orthop Scand. 2000, 71: 613-618. 10.1080/000164700317362262.View ArticlePubMedGoogle Scholar
Gummesson C, Atroshi I, Ekdahl C: Performance of health-status scales when used selectively or within multi-scale questionnaire. BMC Med Res Methodol. 2003, 3: 3-10.1186/1471-2288-3-3.View ArticlePubMedPubMed CentralGoogle Scholar
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