Skip to main content

Validation of the Danish version of the Quick-Disabilities of Arm, Shoulder and Hand Questionnaire

Jesper Ougaard Schønnemann & Jens Eggers,

1. dec. 2016
11 min.

Faktaboks

Fakta

Fracture of the wrist is one of the most common forms of fractures and its incidence increases with age [1, 2].
A range of wrist fracture treatments are available [3, 4], but all strive to restore normal anatomical conditions and movement [5, 6]. The results of treatment are typically based on objective criteria such as grip strength, range-of-motion and radiological parameters [7], but patient-reported outcomes are increasingly used for assessment of treatment. It is therefore important that the patient-reported outcome measures ensure a correct, non-biased measurement of a given treatment, and studies describing the validity of these outcome measures are therefore necessary. The Disabilities of Arm, Shoulder and Hand (DASH) Questionnaire [8, 9], a 30-item questionnaire, and its derivative QuickDASH [10], an 11-item questionnaire, are widely used in the orthopaedic clinical setting. In their original form and during cross-cultural adaption, the validity evidence of both the Dash and the QuickDash was considered strong regarding treatment of injuries or disabilities in the upper extremities [11]. The DASH has previously been validated for Danish patients with wrist fractures, and the purpose of the present study was to validate the Danish version of the QuickDASH in patients with fractured wrists, using the Nottingham Health Profile (NHP) [12], the Danish translation of which has previously been validated for patients with wrist fractures [13, 14] as an evaluation method.

Validated outcome measures are important in the follow-up on distal radius fractures.

METHODS

The Danish version of the QuickDASH is available for download on the official website of the QuickDASH questionnaire. No articles have been published regarding the translation procedure and no articles exist on the validation of the Danish version of the QuickDASH in patients with wrist fractures, but an article on the validity in patients with total wrist arthroplasty has previously been published [15].

At our Hospital’s Orthopaedic Department, we included 61 consecutive patients who were treated for fractures of the distal radius. Patients were excluded if they were under 18 years of age, were mentally unfit to participate, if they were unable to read or write Danish, had known disorders to the upper extremities or other disabling medical conditions or if they declined to participate. Patients either received conservative (five weeks with a dorsal cast) or operative treatment prior to their first ambulatory follow-up at one week. They all answered the QuickDASH and the NHP at this visit and then again at their last ambulatory follow-up visit at six weeks. Furthermore, at the last follow-up, a QuickDASH-questionnaire was handed out along with a postage-paid return envelope that patients were instructed to complete at home one day after their last follow-up in order to facilitate calculation of test-retest reliability. If any items were missing, patients were contacted either in the ambulatory facility or by phone, and the items were completed.

We investigated patient-burden and feasibility expressed as time used to complete the questionnaire (measured in 15 patients) and completeness at the first follow-up, at which point none of the patients had completed the QuickDASH before.

We estimated internal consistency by calculating Cronbach’s alpha [16, 17], describing the homogeneity of the questionnaire, where a value above 0.9 was considered excellent. We furthermore estimated the questionnaire’s test-retest reliability assessed by the intra-class correlation coefficient, estimating the degree of concordance between results and Bland Altman’s 95% limits of agreement, where a high concordance of results presents as a small interval between the results [18, 19], with mean difference representing the bias. Validity parameters were expressed by convergent validity (expecting a higher correlation for the pain and physical domains of the NHP) and divergent validity (expecting a lower correlation for Sleep and Social isolation domains of the NHP). Furthermore we calculated content validity which shows whether a questionnaire has enough items and covers the area of interest adequately. This allowed us to calculate the proportion scoring the maximal and minimal score (floor and ceiling effect) at both controls, thereby demonstrating whether a proportion of the patients is in the extreme range of scoring and therefore unable to measure a meaningful improvement or deterioration in their condition. Responsiveness, i.e. the ability to measure sensitivity to change over time, would be expressed as effect size calculated by Cohen’s d, which is the ratio of the mean change in first and last control divided by the standard deviation of the score at first control, where an effect size of > 0.8 is considered large and > 0.5 is moderate [20]. p-values < 0.05 were considered statistically significant.

Trial registration: not relevant.

RESULTS

We included 61 patients with a mean age of 59 years (range: 19-84 years), 71% were female. A total of 23 patients were operated with open reduction and internal fixation with a volar plate. All patients answered the QuickDASH questionnaire at their first and last control (after an average of nine and 44 days, respectively) and 44 patients answered the QuickDASH questionnaire at 44 + 1 days. We measured the time used to complete the questionnaire at the first follow-up with the first 15 patients. At this point, none of the patients had ever
answered the QuickDASH before. The mean time employed to answer the questionnaire was four (range: 2-11) minutes. Furthermore, we received no questionnaires with missing items at any follow-up. Cronbach’s alpha was 0.96, displaying internal consistency from the total patient inclusion. The test-retest reliability was tested with 44 patients returning the questionnaire after the last follow-up and showed an intra-class correlation coefficient of 0.94 and a difference of mean of 0.39 (95% confidence interval: 0.13-0.91; p > 0.05) (Figure 1). We found a high correlation with the domains of Pain and Physical mobility which underpins the validity of the questionnaire (Table 1). Additionally, we found no floor or ceiling effect at either follow-up. Sum score at the first follow-up was 50.3, and at the last follow-up it was 24.1 (p < 0.05). The effect size was 1.1.

DISCUSSION

We consider the patient burden and the questionnaire’s feasibility acceptable with an average of four minutes for answering the questionnaire and given that we recorded no missing items. We did not experience that patients required any particular help answering the questionnaire, but staff members were available if they had any questions, and this might explain why no missing items were recorded. We found an excellent internal consistency with a Cronbach’s alpha of 0.96 as well as a high degree of concordance with an intra-class correlation coefficient of 0.94 and no systematic bias demonstrated by the Bland-Altman plot. Furthermore, we recorded a good convergent validity with the domains of Pain and Physical mobility of the NHP as demonstrated by the Pearson correlation coefficient and an expected divergent validity with the domains of Sleep and Social isolation. These parameters are similar to those reported in other studies [10]. The content validity was high since we found no floor or ceiling effects. Construct validity was demonstrated by a significant decline in sum score between the first and the last control as we anticipate that patient discomfort diminishes over time, which is then reflected in a lower score, and accordingly responsiveness is high. A limitation of this study is our small patient cohort and the fact that we only investigated wrist fractures, even though the QuickDASH is a region-specific patient-reported outcome covering the whole upper extremity. We followed our patients for an average of only 44 days, and therefore cannot draw any conclusions about the longitudinal construct of the questionnaire. Furthermore, we consulted our patients early in their treatment and rehabilitation period knowing that they were probably not in a stable period of their recovery, but we obtained our results in order to validate the questionnaire rather than to estimate an outcome for this patient category. Our validation is also limited by the fact that we had an excess share of women and a rather low average age in our study population, which does not allow for further sub-group analysis. Additional studies are needed to estimate the long-term use of the questionnaire and to describe validity and reliability in other conditions involving the upper extremity.

Conclusion

We conclude that the Danish version of the QuickDASH is a valid and reliable patient-reported outcome in patients with wrist fractures.

Correspondence: Jesper Ougaard Schønnemann. E-mail: jesper.ougaard.schoennemann1@rsyd.dk

Accepted: 27 September 2016

Conflicts of interest:Disclosure forms provided by the authors are available with the full text of this article at www.danmedj.dk

Referencer

REFERENCES

  1. Brogren E, Petranek M, Atroshi I. Incidence and characteristics of distal radius fractures in a southern Swedish region. BMC Musculoskel Dis 2007;8:48.

  2. Karl JW, Olson PR, Rosenwasser MP. The epidemiology of upper extremity fractures in the United States, 2009. J Ortho Trauma 2015;29:e242-e244.

  3. Ju JH, Jin GZ, Li GX et al. Comparison of treatment outcomes between nonsurgical and surgical treatment of distal radius fracture in elderly: a systematic review and meta-analysis. Langenbecks Arch Surg 2015;400:767-79.

  4. Margaliot Z, Haase SC, Kotsis SV et al. A meta-analysis of outcomes of external fixation versus plate osteosynthesis for unstable distal radius fractures. J Hand Surg Am 2005;30:1185-99.

  5. Handoll HH, Madhok R. Managing fractures of the distal radius in adults. Clinical and research implications from systematic reviews of existing trials. Acta Orthop Scand Suppl 2002;73:45-8.

  6. Handoll HH, Madhok R. Surgical interventions for treating distal radial fractures in adults. Cochrane Database Syst Rev 2003;3:CD003209.

  7. Handoll HH, Elliott J. Rehabilitation for distal radial fractures in adults. Cochrane Database Syst Rev 2015;9:CD003324.

  8. 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;29:602-8.

  9. Schonnemann JO, Larsen K, Hansen TB et al. Reliability and validity of the Danish version of the disabilities of arm, shoulder, and hand questionnaire in patients with fractured wrists. J Plastic Surg Hand Surg 2011;45:35-9.

  10. Beaton DE, Wright JG, Katz JN et al. Development of the QuickDASH: comparison of three item-reduction approaches. J Bone Joint Surg Am 2005;87:1038-46.

  11. Kennedy CA, Beaton DE, Smith P et al. Measurement properties of the QuickDASH (disabilities of the arm, shoulder and hand) outcome measure and cross-cultural adaptations of the QuickDASH: a systematic review. Qual Life Res 2013;22:2509-47.

  12. Hunt SM, McKenna SP, McEwen J et al. A quantitative approach to perceived health status: a validation study. J Epidemiol Community Health 1980;34:281-6.

  13. Thorsen H, McKenna SP, Gottschalck L. The Danish version of the Nottingham Health Profile: its adaptation and reliability. Scand J Prim Health Care 1993;11:124-9.

  14. Thorsen H, McKenna SP, Gottschalck L. Perceived health in three groups of elderly people. A validity study of the Danish version of the Nottingham Health Profile. Dan Med Bull 1995;42:105-8.

  15. Boeckstyns ME, Merser S. Psychometric properties of two questionnaires in the context of total wrist arthroplasty. Dan Med J 2014;61(11):A4939.

  16. Bland JM, Altman DG. Cronbach’s alpha. BMJ 1997;314:572.

  17. Cronbach LJ, Meehl PE. Construct validity in psychological tests. Psychol Bull 1955;52:281-302.

  18. Atkinson G, Nevill AM. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998;26:217-38.

  19. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307-10.

  20. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Lawrence Earlbaum Associates, 1988.