Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 2/2018

29-11-2017

An evaluation of the structural validity of the shoulder pain and disability index (SPADI) using the Rasch model

Auteurs: Christina Jerosch-Herold, Rachel Chester, Lee Shepstone, Joshua I. Vincent, Joy C. MacDermid

Gepubliceerd in: Quality of Life Research | Uitgave 2/2018

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

The shoulder pain and disability index (SPADI) has been extensively evaluated for its psychometric properties using classical test theory (CTT). The purpose of this study was to evaluate its structural validity using Rasch model analysis.

Methods

Responses to the SPADI from 1030 patients referred for physiotherapy with shoulder pain and enrolled in a prospective cohort study were available for Rasch model analysis. Overall fit, individual person and item fit, response format, dependence, unidimensionality, targeting, reliability and differential item functioning (DIF) were examined.

Results

The SPADI pain subscale initially demonstrated a misfit due to DIF by age and gender. After iterative analysis it showed good fit to the Rasch model with acceptable targeting and unidimensionality (overall fit Chi-square statistic 57.2, p = 0.1; mean item fit residual 0.19 (1.5) and mean person fit residual 0.44 (1.1); person separation index (PSI) of 0.83. The disability subscale however shows significant misfit due to uniform DIF even after iterative analyses were used to explore different solutions to the sources of misfit (overall fit (Chi-square statistic 57.2, p = 0.1); mean item fit residual 0.54 (1.26) and mean person fit residual 0.38 (1.0); PSI 0.84).

Conclusions

Rasch Model analysis of the SPADI has identified some strengths and limitations not previously observed using CTT methods. The SPADI should be treated as two separate subscales. The SPADI is a widely used outcome measure in clinical practice and research; however, the scores derived from it must be interpreted with caution. The pain subscale fits the Rasch model expectations well. The disability subscale does not fit the Rasch model and its current format does not meet the criteria for true interval-level measurement required for use as a primary endpoint in clinical trials. Clinicians should therefore exercise caution when interpreting score changes on the disability subscale and attempt to compare their scores to age- and sex-stratified data.
vorige artikel Developing a patient-reported outcome measure for HIV care on perceived barriers to antiretroviral adherence: assessing the needs of HIV clinicians through qualitative analysis
volgende artikel One question might be capable of replacing the Shoulder Pain and Disability Index (SPADI) when measuring disability: a prospective cohort study
Voetnoten
1
RUMM Laboratory Pty Ltd, Perth.
 
Literatuur
1.
Linsell, L., Dawson, J., Zondervan, K., Rose, P., Randall, T., Fitzpatrick, R., et al. (2006). Prevalence and incidence of adults consulting for shoulder conditions in UK primary care; patterns of diagnosis and referral. Rheumatology, 45(2), 215–221.CrossRefPubMed
2.
Luime, J. J., Koes, B. W., Hendriksen, I. J. M., Burdorf, A., Verhagen, A. P., Miedema, H. S., et al. (2004). Prevalence and incidence of shoulder pain in the general population; a systematic review. Scandinavian Journal of Rheumatology, 33(2), 73–81.CrossRefPubMed
3.
Page, M. J., Huang, H., Verhagen, A. P., Gagnier, J. J., & Buchbinder, R. (2017) Outcome reporting in randomized trials for shoulder disorders: Literature review to inform the development of a core outcome set. Arthritis Care Res (Hoboken), https://​doi.​org/​10.​1002/​acr.​23254.
4.
Buchbinder, R., Page, M. J., Huang, H., Verhagen, A. P., Beaton, D., Kopkow, C., et al. (2017) A preliminary core domain set for clinical trials of shoulder disorders: A report from the OMERACT 2016 shoulder core outcome set special interest group. The Journal of Rheumatology, https://​doi.​org/​10.​3899/​jrheum.​161123.PubMedCentral
5.
Roach, K. E., Budiman-Mak, E., Songsiridej, N., & Lertratanakul, Y. (1991). Development of a shoulder pain and disability index. Arthritis Care and Research, 4(4), 143–149.CrossRefPubMed
6.
7.
Angst, F., Schwyzer, H. K., Aeschlimann, A., Simmen, B. R., & Goldhahn, J. (2011). Measures of adult shoulder function disabilities of the arm, shoulder, and hand questionnaire (DASH) and its short version (QuickDASH), shoulder pain and disability index (SPADI), American shoulder and elbow surgeons (ASES) society standardized shoulder assessment form, constant (Murley) score (CS), simple shoulder test (SST), Oxford shoulder score (OSS), shoulder disability questionnaire (SDQ), and Western Ontario shoulder instability index (WOSI). Arthritis Care and Research, 63, S174–S88.CrossRefPubMed
8.
Dawson, J., Harris, K. K., Doll, H., Fitzpatrick, R., & Carr, A. (2016). A comparison of the Oxford shoulder score and shoulder pain and disability index: factor structure in the context of a large randomized controlled trial. Patient Related Outcome Measures, 7, 195–203.CrossRefPubMedPubMedCentral
9.
Roy, J. S., MacDermid, J. C., & Woodhouse, L. J. (2009). Measuring shoulder function: a systematic review of four questionnaires. Arthritis and Rheumatology, 61(5), 623–632.CrossRef
10.
Thoomes-de Graaf, M., Scholten-Peeters, G. G. M., Schellingerhout, J. M., Bourne, A. M., Buchbinder, R., Koehorst, M., et al. (2016). Evaluation of measurement properties of self-administered PROMs aimed at patients with non-specific shoulder pain and “activity limitations”: a systematic review. Quality of Life Research, 25(9), 2141–2160.CrossRefPubMedPubMedCentral
11.
St-Pierre, C., Desmeules, F., Dionne, C. E., Fremont, P., MacDermid, J. C., & Roy, J. S. (2016). Psychometric properties of self-reported questionnaires for the evaluation of symptoms and functional limitations in individuals with rotator cuff disorders: a systematic review. Disability and Rehabilitation, 38(2), 103–122.CrossRef
12.
Hill, C. L., Lester, S., Taylor, A. W., Shanahan, M. E., & Gill, T. K. (2011). Factor structure and validity of the shoulder pain and disability index in a population-based study of people with shoulder symptoms. BMC Musculoskeletal Disorders, 12, 8.CrossRefPubMedPubMedCentral
13.
Chester, R., Jerosch-Herold, C., Lewis, J., & Shepstone, L. (2017). The SPADI and QuickDASH are similarly responsive in patients undergoing physical therapy for shoulder pain. The Journal of Orthopaedic and Sports Physical Therapy, 47(8), 538–547.CrossRefPubMed
14.
Cano, S. J., & Hobart, J. C. (2011) The problem with health measurement. Patient preference and adherence, 5, 279–290.CrossRef
15.
Hobart, J. C., Cano, S. J., Zajicek, J. P., & Thompson, A. J. (2007). Rating scales as outcome measures for clinical trials in neurology: problems, solutions, and recommendations. The Lancet Neurology, 6(12), 1094–1105.CrossRefPubMed
16.
17.
Hagquist, C., Bruce, M., & Gustavsson, J. P. (2009). Using the Rasch model in nursing research: an introduction and illustrative example. International Journal of Nursing Studies, 46(3), 380–393.CrossRefPubMed
18.
Mokkink, L. B., Terwee, C. B., Patrick, D. L., Alonso, J., Stratford, P. W., Knol, D. L., et al. (2010). The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes. Journal of Clinical Epidemiology, 63(7), 737–745.CrossRefPubMed
19.
Wright, B. D., & Linacre, J. M. (1989). Observations are always ordinal—measurements, however, must be interval. Archives of Physical Medicine and Rehabilitation, 70(12), 857–860.PubMed
20.
Tennant, A., McKenna, S. P., & Hagell, P. (2004). Application of Rasch analysis in the development and application of quality of life instruments. Value in Health, 7(Suppl 1), S22–S26.CrossRefPubMed
21.
Cook, K. F., Gartsman, G. M., Roddey, T. S., & Olson, S. L. (2001). The measurement level and trait-specific reliability of 4 scales of shoulder functioning: an empiric investigation. Archives of Physical Medicine and Rehabilitation, 82(11), 1558–1565.CrossRefPubMed
22.
23.
Chester, R., Shepstone, L., Lewis, J. S., & Jerosch-Herold, C. (2013). Predicting response to physiotherapy treatment for musculoskeletal shoulder pain: protocol for a longitudinal cohort study. BMC Musculoskeletal Disorders, 14, 192.CrossRefPubMedPubMedCentral
24.
Andrich, D. (1978). Rating formulation for ordered response categories. Psychometrika, 43(4), 561–573.CrossRef
25.
Lundgren Nilsson, A., & Tennant, A. (2011). Past and present issues in Rasch analysis: the functional independence measure (FIM) revisited. Journal of Rehabilitation Medicine, 43(10), 884–891.CrossRefPubMed
26.
Pallant, J. F., & Tennant, A. (2007). An introduction to the Rasch measurement model: an example using the hospital anxiety and depression scale (HADS). The British journal of clinical Psychology / The British Psychological Society, 46(Pt 1), 1–18.CrossRef
27.
Smith, E. V. (2002). Jr. Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals. Journal of Applied Measurement, 3(2), 205–231.PubMed
28.
Hobart, J., & Cano, S. (2009). Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods. Health Technology Assessment, 13(12), 1–177.CrossRef
29.
Andrich, D., Humphry, S. M., & Marais, I. (2012). Quantifying local, response dependence between two polytomous items using the Rasch Model. Applied Psychological Measurement, 36(4), 309–324.CrossRef
30.
Andrich, D., & Hagquist, C. (2015). Real and artificial differential item functioning in polytomous items. Educational and Psychological Measurement, 75(2), 185–207.CrossRef
31.
32.
Fischer, W. J. (1992). Reliability statistics. Rasch Measurement Transactions, 6(3), 238.
33.
Tveita, E. K., Sandvik, L., Ekeberg, O. M., Juel, N. G., & Bautz-Holter, E. (2008). Factor structure of the shoulder pain and disability index in patients with adhesive capsulitis. BMC Musculoskeletal Disorders, 9, 103.CrossRef
34.
35.
Racine, M., Tousignant-Laflamme, Y., Kloda, L. A., Dion, D., Dupuis, G., & Choiniere, M. (2012). A systematic literature review of 10 years of research on sex/gender and experimental pain perception - Part 1: Are there really differences between women and men? Pain, 153(3), 602–618.CrossRefPubMed
36.
Racine, M., Tousignant-Laflamme, Y., Kloda, L. A., Dion, D., Dupuis, G., & Choiniere, M. (2012). A systematic literature review of 10 years of research on sex/gender and pain perception—Part 2: Do biopsychosocial factors alter pain sensitivity differently in women and men? Pain, 153(3), 619–635.CrossRefPubMed
37.
Michener, L. A., Snyder, A. R., & Leggin, B. G. (2011). Responsiveness of the numeric pain rating scale in patients with shoulder pain and the effect of surgical status. Journal of Sport Rehabilitation, 20(1), 115–128.CrossRefPubMed
38.
Norman, D., & Streiner, G. (2003). Health Measurement scales: A practical guide to their development and use (3rd edn.). Oxford: Oxford University Press.
39.
Raman, J., MacDermid, J. C., Walton, D., & Athwal, G. S. (2017). Rasch analysis indicates that the Simple Shoulder Test is robust, but minor item modifications and attention to gender differences should be considered. Journal of Hand Therapy, 30, 348–358.CrossRef
40.
Packham, T., & MacDermid, J. C. (2013). Measurement properties of the patient-rated wrist and hand evaluation: Rasch analysis of responses from a traumatic hand injury population. Journal of Hand Therapy, 26(3), 216–224.CrossRefPubMed
41.
Johnson, J. L., Greaves, L., & Repta, R. (2009). Better science with sex and gender: Facilitating the use of a sex and gender-based analysis in health research. International Journal for Equity, 8, 14.
42.
Patrick, D. L., Burke, L. B., Gwaltney, C. J., Leidy, N. K., Martin, M. L., Molsen, E., et al. (2011). Content validity-establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: Part 1-eliciting concepts for a new PRO instrument. Value in Health, 14(8), 967–977.CrossRefPubMed
43.
Patrick, D. L., Burke, L. B., Gwaltney, C. J., Leidy, N. K., Martin, M. L., Molsen, E., et al. (2011). Content validity-establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: Part 2-assessing respondent understanding. Value in Health, 14(8), 978–988.CrossRefPubMed
44.
Hagell, P., & Westergren, A. (2016). Sample size and statistical conclusions from tests of fit to the Rasch model according to the Rasch unidimensional measurement model (Rumm) program in health outcome measurement. Journal of Applied Measurement, 17(4), 416–431.PubMed
45.
Smith, A. B., Rush, R., Fallowfield, L. J., Velikova, G., & Sharpe, M. (2008). Rasch fit statistics and sample size considerations for polytomous data. BMC Medical Research Methodology, 8, 33.CrossRef
Metagegevens
Titel
An evaluation of the structural validity of the shoulder pain and disability index (SPADI) using the Rasch model
Auteurs
Christina Jerosch-Herold
Rachel Chester
Lee Shepstone
Joshua I. Vincent
Joy C. MacDermid
Publicatiedatum
29-11-2017
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 2/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-017-1746-7

Andere artikelen Uitgave 2/2018

Quality of Life Research 2/2018 Naar de uitgave

OriginalPaper

Developing a patient-reported outcome measure for HIV care on perceived barriers to antiretroviral adherence: assessing the needs of HIV clinicians through qualitative analysis

OriginalPaper

The Minneapolis-Manchester Quality of Life Instrument: reliability and validity of the Adult Form in cancer survivors

OriginalPaper

Assessing reserve-building pursuits and person characteristics: psychometric validation of the Reserve-Building Measure

OriginalPaper

Associated and mediating variables related to quality of life among service users with mental disorders

OriginalPaper

Internet use, social networks, loneliness, and quality of life among adults aged 50 and older: mediating and moderating effects

Review

Child and adolescent self-report symptom measurement in pediatric oncology research: a systematic literature review