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

Tip

Swipe om te navigeren naar een ander artikel

Gepubliceerd in: Quality of Life Research 9/2021

07-05-2021

Measurement properties of the Boston Carpal Tunnel Questionnaire in subjects with neurophysiological confirmation of carpal tunnel syndrome: a Rasch analysis perspective

Auteurs: Camilo Mendoza-Pulido, Fernando Ortiz-Corredor

Gepubliceerd in: Quality of Life Research | Uitgave 9/2021

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

To perform a comprehensive psychometric analysis of the Boston Carpal Tunnel Syndrome Questionnaire (BCTQ) by means of factor and Rasch analyses in subjects with neurophysiologic confirmation of carpal tunnel syndrome (CTS). Relationship between clinical severity assessed with the log-linear version of the BCTQ and neurophysiologic severity assessed with nerve conduction studies was further examined.

Methods

Five hundred and twenty-eight individuals completed the questionnaire. Confirmatory and exploratory factor analyses were used to determine the latent structure of the BCTQ. Through Rasch methodology, a log-linear version was proposed given the latent structure of the questionnaire. Linear relationship between the proposed questionnaire and neurophysiologic findings was established.

Results

The BCTQ underlying structure comprises, at least, three factors that may be represented by Functionality, Paresthesia and Pain domains. Two log-linear subscales may be proposed: subscale 1 comprised of the Functionality factor and subscale 2 which incorporates the Paresthesia and Pain factors under a bifactor solution. Neurophysiologic and clinical severity classification system displays a very weak linear correlation.

Conclusion

A log-linear version of the BCTQ, useful as an outcome tool in clinical and trial settings, is proposed. Neurophysiological data lack the ability to resemble changes in clinical status of individuals with CTS.
vorige artikel Psychometric properties of the Dutch-Flemish PROMIS® pediatric item banks Anxiety and Depressive Symptoms in a general population
volgende artikel Correction to: Social inequalities in health‑related quality of life among people aging with HIV/AIDS: the role of comorbidities and disease severity
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
Wipperman, J., & Goerl, K. (2016). Carpal Tunnel Syndrome: Diagnosis and management. American Family Physician, 94(12), 993–999 PubMed
2.
Levine, D. W., Simmons, B. P., Koris, M. J., Daltroy, L. H., Hohl, G. G., Fossel, A. H., et al. (1993). A self-administered questionnaire for the assessment of severity of symptoms and functional status in carpal tunnel syndrome. Journal of Bone and Joint Surgery American, 75(11), 1585–1592 CrossRef
3.
Patrick, D. L., Burke, L. B., Powers, J. H., Scott, J. A., Rock, E. P., Dawisha, S., et al. (2007). Patient-reported outcomes to support medical product labeling claims: FDA perspective. Value Health., 10(Suppl 2), S125–S137 PubMedCrossRef
4.
MacDermid, J. C. (2014). Patient-reported outcomes: state-of-the-art hand surgery and future applications. Hand Clinics, 30(3), 293–304 PubMedCrossRef
5.
Bravini, E., Franchignoni, F., Giordano, A., Sartorio, F., Ferriero, G., Vercelli, S., et al. (2015). Classical test theory and Rasch analysis validation of the Upper Limb Functional Index in subjects with upper limb musculoskeletal disorders. Archives of Physical Medicine and Rehabilitation, 96(1), 98–104 PubMedCrossRef
6.
Amadio, P. C., Silverstein, M. D., Ilstrup, D. M., Schleck, C. D., & Jensen, L. M. (1996). Outcome assessment for carpal tunnel surgery: The relative responsiveness of generic, arthritis-specific, disease-specific, and physical examination measures. J Hand Surg Am., 21(3), 338–346 PubMedCrossRef
7.
Atroshi I, Johnsson R, Sprinchorn A. (1998). Self-administered outcome instrument in carpal tunnel syndrome. Reliability validity and responsiveness evaluated in 102 patients. Acta Orthopaedica Scandinavica, 69(1), 82–88.
8.
Bessette, L., Sangha, O., Kuntz, K. M., Keller, R. B., Lew, R. A., Fossel, A. H., et al. (1998). Comparative responsiveness of generic versus disease-specific and weighted versus unweighted health status measures in carpal tunnel syndrome. Medical Care, 36(4), 491–502 PubMedCrossRef
9.
Gay, R. E., Amadio, P. C., & Johnson, J. C. (2003). Comparative responsiveness of the disabilities of the arm, shoulder, and hand, the carpal tunnel questionnaire, and the SF-36 to clinical change after carpal tunnel release. Journal of Hand Surgery America, 28(2), 250–254 CrossRef
10.
Greenslade, J. R., Mehta, R. L., Belward, P., & Warwick, D. J. (2004). Dash and Boston questionnaire assessment of carpal tunnel syndrome outcome: What is the responsiveness of an outcome questionnaire? Journal of Hand Surgery British, 29(2), 159–164 CrossRef
11.
Rosales RS, Delgado EB, de la Lastra-Bosch ID. Evaluation of the Spanish version of the DASH and carpal tunnel syndrome health-related quality-of-life instruments: cross-cultural adaptation process and reliability. Journal of Hand Surgery America. 2002;27(2):334–43.
12.
Atroshi, I., Lyren, P. E., & Gummesson, C. (2009). The 6-item CTS symptoms scale: A brief outcomes measure for carpal tunnel syndrome. Quality of Life Research, 18(3), 347–358 PubMedCrossRef
13.
De Kleermaeker, F., Levels, M., Verhagen, W. I. M., & Meulstee, J. (2019). Validation of the Dutch version of the Boston Carpal Tunnel Questionnaire. Frontiers in Neurology, 10, 1154 PubMedPubMedCentralCrossRef
14.
Lue, Y. J., Wu, Y. Y., Liu, Y. F., Lin, G. T., & Lu, Y. M. (2015). Confirmatory factor analysis of the Boston Carpal Tunnel Questionnaire. Journal of Occupational Rehabilitation, 25(4), 717–724 PubMedCrossRef
15.
de Campos, C. C., Manzano, G. M., de Andrade, L. B., Castelo Filho, A., & Nobrega, J. A. (2003). Translation and validation of an instrument for evaluation of severity of symptoms and the functional status in carpal tunnel syndrome. Arquivos de Neuro-Psiquiatria, 61(1), 51–55 PubMedCrossRef
16.
Imaeda, T., Uchiyama, S., Toh, S., Wada, T., Okinaga, S., Sawaizumi, T., et al. (2007). Validation of the Japanese Society for Surgery of the Hand version of the Carpal Tunnel Syndrome Instrument. Journal of Orthopaedic Science, 12(1), 14–21 PubMedPubMedCentralCrossRef
17.
Ortiz-Corredor, F., Calambas, N., Mendoza-Pulido, C., Galeano, J., Diaz-Ruiz, J., & Delgado, O. (2011). Factor analysis of carpal tunnel syndrome questionnaire in relation to nerve conduction studies. Clinical Neurophysiology, 122(10), 2067–2070 PubMedCrossRef
18.
Conrad, K. J., & Smith, E. V., Jr. (2004). International conference on objective measurement: Applications of Rasch analysis in health care. Medical Care, 42(1 Suppl), I1-6 PubMedCrossRef
19.
Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: What is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis and Rheumatism, 57(8), 1358–1362 PubMedCrossRef
20.
Tesio, L. (2007). Functional assessment in rehabilitative medicine: Principles and methods. Europa Medicophysica, 43(4), 515–523 PubMed
21.
Wade, D. T. (1999). Outcome measurement and rehabilitation. Clinical Rehabilitation, 13(2), 93–95 PubMedCrossRef
22.
Forrest, M., & Andersen, B. (1986). Ordinal scale and statistics in medical research. British Medical Journal (Clinical Research Edition), 292(6519), 537–538 CrossRef
23.
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
24.
Nielsen, T., & Dammeyer, J. (2019). Measuring higher education students’ perceived stress: An IRT-based construct validity study of the PSS-10. Studies in Educational Evaluation., 63, 17–25 CrossRef
25.
Hong, I., & Bonilha, H. S. (2017). Psychometric properties of upper extremity outcome measures validated by Rasch analysis: A systematic review. International Journal of Rehabilitation Research, 40(1), 1–10 PubMedCrossRef
26.
Franchignoni, F., Giordano, A., Sartorio, F., Vercelli, S., Pascariello, B., & Ferriero, G. (2010). Suggestions for refinement of the Disabilities of the Arm, Shoulder and Hand Outcome Measure (DASH): a factor analysis and Rasch validation study. Archives of Physical Medicine and Rehabilitation, 91(9), 1370–1377 PubMedCrossRef
27.
Jablecki, C. K., Andary, M. T., So, Y. T., Wilkins, D. E., & Williams, F. H. (1993). Literature review of the usefulness of nerve conduction studies and electromyography for the evaluation of patients with carpal tunnel syndrome. AAEM Quality Assurance Committee. Muscle Nerve., 16(12), 1392–1414 PubMed
28.
Mondelli, M., Reale, F., Sicurelli, F., & Padua, L. (2000). Relationship between the self-administered Boston questionnaire and electrophysiological findings in follow-up of surgically-treated carpal tunnel syndrome. J Hand Surg Br., 25(2), 128–134 PubMedCrossRef
29.
Padua, L., Padua, R., Lo Monaco, M., Aprile, I., & Tonali, P. (1999). Multiperspective assessment of carpal tunnel syndrome: a multicenter study. Italian CTS Study Group. Neurology, 53(8), 1654–1659 PubMedCrossRef
30.
Ortiz-Corredor, F., & Lopez-Monsalve, A. (2009). Using neurophysiological reference values as an approach to carpal tunnel syndrome diagnosis. Revista de Salud Pública (Bogotá, Colombia), 11(5), 794–801 CrossRef
31.
Padua, L., LoMonaco, M., Gregori, B., Valente, E. M., Padua, R., & Tonali, P. (1997). Neurophysiological classification and sensitivity in 500 carpal tunnel syndrome hands. Acta Neurologica Scandinavica, 96(4), 211–217 PubMedCrossRef
32.
33.
34.
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software., 48(2), 1–36 CrossRef
35.
Andrich, D., Sheridan, B., & Luo, G. (2010). Rasch models for measurement: RUMM2030. RUMM Laboratory Pty Ltd.
36.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299 CrossRef
37.
Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods., 7(2), 191–205 CrossRef
38.
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209–220 PubMedCrossRef
39.
Revelle, W., & Rocklin, T. (1979). Very simple structure: an alternative procedure for estimating the optimal number of interpretable factors. Multivariate Behaviour Research, 14(4), 403–414 CrossRef
40.
Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 24(2), 321–327 CrossRef
41.
Goldberg, L. R., & Velicer, W. F. (2006). Principles of exploratory factor analysis. In S. Strack (Ed.), Differentiating normal and abnormal personality. (pp. 209–237). Springer Publishing Co.
42.
Lee, C. T., Zhang, G., & Edwards, M. C. (2012). Ordinary least squares estimation of parameters in exploratory factor analysis with ordinal data. Multivariate Behaviour Research, 47(2), 314–339 CrossRef
43.
Schmitt, T. A. (2011). Current methodological considerations in exploratory and confirmatory factor analysis. Journal of Psychoeducational Assessment, 29(4), 304–321 CrossRef
44.
Krijnen, W. P. (1996). Algorithms for unweighted least-squares factor analysis. Computational Statistics & Data Analysis, 21(2), 133–147 CrossRef
45.
Guadagnoli, E., & Velicer, W. F. (1988). Relation of sample size to the stability of component patterns. Psychological Bulletin, 103(2), 265–275 PubMedCrossRef
46.
Christensen, K. B., Makransky, G., & Horton, M. (2017). Critical values for Yen’s Q3: identification of local dependence in the Rasch model using residual correlations. Applied Psychological Measurement, 41(3), 178–194 PubMedCrossRef
47.
Pomeroy, I. M., Tennat, A., Mills, R. J., & Young, C. A. (2020). The WHOQOL-BREF: A modern psychometric evaluation of its internal construct validity in people with multiple sclerosis. Quality of Life Research, 29(7), 1961–1972 PubMedPubMedCentralCrossRef
48.
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137–150 PubMedCrossRef
49.
Andrich, D. (2016). Components of variance of scales with a bifactor subscale structure from Twwo calculations of α. Educational Measurement: Issues and Practice., 35(4), 24–30 CrossRef
50.
Leite, J. C., Jerosch-Herold, C., & Song, F. (2006). A systematic review of the psychometric properties of the Boston Carpal Tunnel Questionnaire. BMC Musculoskeletal Disorders, 7, 78 PubMedPubMedCentralCrossRef
51.
Maeda, Y., Kettner, N., Kim, J., Kim, H., Cina, S., Malatesta, C., et al. (2016). Primary somatosensory/motor cortical thickness distinguishes paresthesia-dominant from pain-dominant carpal tunnel syndrome. Pain, 157(5), 1085–1093 PubMedCrossRef
52.
You, H., Simmons, Z., Freivalds, A., Kothari, M. J., & Naidu, S. H. (1999). Relationships between clinical symptom severity scales and nerve conduction measures in carpal tunnel syndrome. Muscle and Nerve, 22(4), 497–501 PubMedCrossRef
53.
Nora, D. B., Becker, J., Ehlers, J. A., & Gomes, I. (2005). What symptoms are truly caused by median nerve compression in carpal tunnel syndrome? Clinical Neurophysiology, 116(2), 275–283 PubMedCrossRef
54.
Nora, D. B., Becker, J., Ehlers, J. A., & Gomes, I. (2004). Clinical features of 1039 patients with neurophysiological diagnosis of carpal tunnel syndrome. Clinical Neurology and Neurosurgery, 107(1), 64–69 PubMedCrossRef
55.
Alfonso, C., Jann, S., Massa, R., & Torreggiani, A. (2010). Diagnosis, treatment and follow-up of the carpal tunnel syndrome: a review. Neurological Sciences, 31(3), 243–252 PubMedCrossRef
56.
Peters, S., Johnston, V., Hines, S., Ross, M., & Coppieters, M. (2016). Prognostic factors for return-to-work following surgery for carpal tunnel syndrome: a systematic review. JBI Database of Systematic Reviews and Implementation Reports, 14(9), 135–216 PubMedCrossRef
57.
Luckhaupt, S. E., Dahlhamer, J. M., Ward, B. W., Sweeney, M. H., Sestito, J. P., & Calvert, G. M. (2013). Prevalence and work-relatedness of carpal tunnel syndrome in the working population, United States, 2010 National Health Interview Survey. American Journal of Industrial Medicine, 56(6), 615–624 PubMedCrossRef
58.
59.
Stone, J., & Aybek, S. (2016). Functional limb weakness and paralysis. Handbook of Clinical Neurology, 139, 213–228 PubMedCrossRef
60.
Multanen, J., Ylinen, J., Karjalainen, T., Ikonen, J., Häkkinen, A., & Repo, J. P. (2020). Structural validity of th Boston Carpal Tunnel Questionnaire and its short version, the 6-Item CTS symptoms scale: A Rasch analysis one year after surgery. BMC Musculoskeletal Disorders, 21(1), 609 PubMedPubMedCentralCrossRef
Metagegevens
Titel
Measurement properties of the Boston Carpal Tunnel Questionnaire in subjects with neurophysiological confirmation of carpal tunnel syndrome: a Rasch analysis perspective
Auteurs
Camilo Mendoza-Pulido
Fernando Ortiz-Corredor
Publicatiedatum
07-05-2021
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 9/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-021-02860-y

Andere artikelen Uitgave 9/2021

Quality of Life Research 9/2021 Naar de uitgave

OriginalPaper

The relationship between emotional intelligence and quality of life in schizophrenia and bipolar I disorder

OriginalPaper

Psychometric properties of the Dutch-Flemish PROMIS® pediatric item banks Anxiety and Depressive Symptoms in a general population

OriginalPaper

The influence of frailty syndrome on quality of life in elderly patients with type 2 diabetes

OriginalPaper

Health-related quality of life in women after colposcopy: results from a longitudinal patient survey

OriginalPaper

Comparison of EQ-5D-3L and metabolic components between patients with hyperhidrosis and the general population: a propensity score matching analysis

Correction

Correction to: Financial difficulties and patient‑reported outcomes among patients with advanced heart failure