Can the ABILHAND handle manual ability in MS?

Abstract

Background:

Hand dysfunction is common in multiple sclerosis (MS). Recent interest has focused on incorporating patient-reported outcome (PRO) instruments into clinical trials. Nevertheless, examinations are rare in MS of existing manual ability measures.

Objectives:

The objective of this paper is to evaluate the 23-item ABILHAND, developed for use after stroke, in people with MS, comparing the findings from two psychometric approaches.

Methods:

We analysed ABILHAND data from 300 people with MS using: 1) traditional psychometric methods (data completeness, scaling assumptions, reliability, internal and external construct validity); and 2) Rasch measurement methods (including targeting, item response category ordering, data fit to the Rasch model, spread of item locations, item scoring bias, item stability, reliability, person response validity).

Results:

Traditional psychometric methods implied ABILHAND was reliable and valid in this sample. Rasch measurement methods supported this finding. The three-category scoring function worked as intended and item fit to Rasch model expectations was acceptable. The 23 items (location range −3.16 to +2.73 logits) mapped a continuum of manual ability. Reliability was high (Person Separation Index (PSI) = 0.95).

Conclusion:

Both psychometric evaluations supported ABILHAND as a robust manual ability PRO measure for MS. Rasch measurement methods were more informative and, consistent with its role of detecting anomalies, identified ways of advancing further ABILHAND’s measurement performance to reduce any potential for type II errors in clinical trials.

Keywords

Multiple sclerosis manual ability psychometric methods Rasch measurement theory rating scales

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References

Krishnan

Jaric

. Hand function in multiple sclerosis: Force coordination in manipulation tasks. Clin Neurophysiol 2008; 119: 2274–2281.

Fischer

Rudick

Cutter

. The Multiple Sclerosis Functional Composite measure (MSFC): An integrated approach to MS clinical outcome assessment. Mult Scler 1999; 5: 244–250.

Food and Drug Administration. Patient-reported outcome measures: Use in medical product development to support labeling claims. U.S. Department of Health and Human Services, 2009, http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM193282.pdf.

European Medicines Agency. Reflection paper on the regulatory guidance for the use of health-related quality of life (HRQL) measures in the evaluation of medicinal products. London, UK: EMA, 2005.

Department of Health. Guidance on the routine collection of Patient Reported Outcome Measures (PROMs). London, UK: Department of Health, 2008.

Cano

Barrett

Zajicek

. Beyond the reach of traditional analyses: Using Rasch to evaluate the DASH in people with multiple sclerosis. Mult Scler 2011; 17: 214–222.

Penta

Tesio

Arnould

. The ABILHAND questionnaire as a measure of manual ability in chronic stroke patients: Rasch-based validation and relationship to upper limb impairment. Stroke 2001; 32: 1627–1634.

Penta

Thonnard

J-L

Tesio

ABILHAND: A Rasch-built measure of manual ability. Arch Phys Med Rehabil 1998; 79: 1038–1042.

Arnould

Penta

Renders

. ABILHAND-Kids: A measure of manual ability in children with cerebral palsy. Neurology 2004; 63: 1045–1052.

10.

Vanthuyne

Smith

Arat

. Validation of a manual ability questionnaire in patients with systemic sclerosis. Arthritis Rheum 2009; 61: 695–703.

11.

Burger

Franchignoni

Kotnik

. A Rasch-based validation of a short version of ABILHAND as a measure of manual ability in adults with unilateral upper limb amputation. Disabil Rehabil 2009; 31: 2023–2030.

12.

Vandervelde

Van den Bergh

PYK

Penta

. Validation of the ABILHAND questionnaire to measure manual ability in children and adults with neuromuscular disorders. J Neurol Neurosurg Psychiatry 2010; 81: 506–512.

13.

Ware

Harris

Gandek

. MAP-R for windows: Multitrait/multi-item analysis program — revised user’s guide. Boston, MA: Health Assessment Lab, 1997.

14.

Dillman

. Mail and telephone surveys: The Total Design Method. New York: Wiley, 1978.

15.

Hudak

Amadio

Bombardier

. Development of an upper extremity outcome measure: The DASH (disabilities of the arm, shoulder and hand) [corrected]. The Upper Extremity Collaborative Group (UECG) [published erratum in Am J Ind Med 1996; 30: 372]. Am J Ind Med 1996; 29: 602–608.

16.

Hobart

Lamping

Fitzpatrick

. The Multiple Sclerosis Impact Scale (MSIS-29): A new patient-based outcome measure. Brain 2001; 124: 962–973.

17.

Hobart

Riazi

Lamping

. Measuring the impact of MS on walking ability: The 12-item MS Walking Scale (MSWS-12). Neurology 2003; 60: 31–36.

18.

Hobart

Freeman

Lamping

. The SF-36 in multiple sclerosis (MS): Why basic assumptions must be tested. J Neurol Neurosurg Psychiatry 2001; 71: 363–370.

19.

McHorney

Ware

JFR

. The MOS 36-Item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions and reliability across diverse patient groups. Med Care 1994; 32: 40–66.

20.

Ware

Snow

Kosinski

. SF-36 Health survey manual and interpretation guide. Boston, MA: Nimrod Press, 1993.

21.

Likert

. A technique for the measurement of attitudes. Archives of Psychology 1932; 140: 5–55.

22.

McHorney

Tarlov

. Individual-patient monitoring in clinical practice: Are available health status surveys adequate? Qual Life Res 1995; 4: 293–307.

23.

Holmes

Shea

Performance of a new, HIV/AIDS-targeted quality of life (HAT-QoL) instrument in asymptomatic seropositive individuals. Qual Life Res 1997; 6: 561–571.

24.

Cronbach

. Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16: 297–334.

25.

Campbell

Fiske

Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull 1959; 56: 81–105.

26.

Rasch

. Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute for Education Research, 1960.

27.

Wright

Masters

Rating scale analysis: Rasch measurement. Chicago: MESA, 1982.

28.

Andrich

. Rasch models for measurement. Beverly Hills, CA: Sage Publications, 1988.

29.

Hobart

Cano

Improving the evaluation of therapeutic interventions in multiple sclerosis: The role of new psychometric methods. Health Techno Assess 2009; 13 (12).

30.

Andrich

. A rating formulation for ordered response categories. Psychometrika 1978; 43: 561–573.

31.

Marais

Andrich

Formalizing dimension and response violations of local independence in the unidimensional Rasch model. J Appl Meas 2008; 9: 200–215.

32.

Andrich

Hagquist

Real and artificial differential item functioning. J Educ Behav Stat 2012; 37: 387–416.

33.

Andrich

. An index of person separation in latent trait theory, the traditional KR20 index, and the Guttman scale response pattern. Educ Psychol Res 1982; 9: 95–104.

34.

Andrich

Sheridan

Luo

RUMM2030: A windows program for the analysis of data according to Rasch unidimensional models for measurement. Perth, Australia: RUMM Laboratory Pty Ltd, 2010.

35.

Linacre

. Sample size and item calibration stability. Rasch Measurement Transactions 1994; 7: 328.

36.

Nunnally

Bernstein

Psychometric theory. 3rd ed. New York: McGraw-Hill, 1994.

37.

Linacre

Computer-adaptive testing: A methodology whose time has come. In Chae

Kang

Jeon

. (eds) Development of Computerized Middle School Achievement Tests [(MESA Research Memorandum No. 69) Seoul, South Korea: Komesa Press, 2000 [in Korean]. Available in English at http://www.rasch.org/memo69.htm.

38.

Durez

Fraselle

Houssiau

. Validation of the ABILHAND questionnaire as a measure of manual ability in patients with rheumatoid arthritis. Ann Rheum Dis 2007; 66: 1098–1105.

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