Skip to main content
Top
Published in: Health and Quality of Life Outcomes 1/2017

Open Access 01-01-2017 | Research

Psychometric properties of the SDM-Q-9 questionnaire for shared decision-making in multiple sclerosis: item response theory modelling and confirmatory factor analysis

Authors: Javier Ballesteros, Ester Moral, Luis Brieva, Elena Ruiz-Beato, Daniel Prefasi, Jorge Maurino

Published in: Health and Quality of Life Outcomes | Issue 1/2017

Login to get access

Abstract

Background

Shared decision-making is a cornerstone of patient-centred care. The 9-item Shared Decision-Making Questionnaire (SDM-Q-9) is a brief self-assessment tool for measuring patients’ perceived level of involvement in decision-making related to their own treatment and care. Information related to the psychometric properties of the SDM-Q-9 for multiple sclerosis (MS) patients is limited. The objective of this study was to assess the performance of the items composing the SDM-Q-9 and its dimensional structure in patients with relapsing-remitting MS.

Methods

A non-interventional, cross-sectional study in adult patients with relapsing-remitting MS was conducted in 17 MS units throughout Spain. A nonparametric item response theory (IRT) analysis was used to assess the latent construct and dimensional structure underlying the observed responses. A parametric IRT model, General Partial Credit Model, was fitted to obtain estimates of the relationship between the latent construct and item characteristics. The unidimensionality of the SDM-Q-9 instrument was assessed by confirmatory factor analysis.

Results

A total of 221 patients were studied (mean age = 42.1 ± 9.9 years, 68.3% female). Median Expanded Disability Status Scale score was 2.5 ± 1.5. Most patients reported taking part in each step of the decision-making process. Internal reliability of the instrument was high (Cronbach’s α = 0.91) and the overall scale scalability score was 0.57, indicative of a strong scale. All items, except for the item 1, showed scalability indices higher than 0.30. Four items (items 6 through to 9) conveyed more than half of the SDM-Q-9 overall information (67.3%). The SDM-Q-9 was a good fit for a unidimensional latent structure (comparative fit index = 0.98, root-mean-square error of approximation = 0.07). All freely estimated parameters were statistically significant (P < 0.001). All items presented standardized parameter estimates with salient loadings (>0.40) with the exception of item 1 which presented the lowest loading (0.26). Items 6 through to 8 were the most relevant items for shared decision-making.

Conclusions

The SDM-Q-9 presents appropriate psychometric properties and is therefore useful for assessing different aspects of shared decision-making in patients with multiple sclerosis.
Literature
1.
go back to reference Moumjid N, Gafni A, Brémond A, Carrère M-O. Shared decision making in the medical encounter: are we all talking about the same thing? Med Decis Making. 2007;27:539–46.CrossRefPubMed Moumjid N, Gafni A, Brémond A, Carrère M-O. Shared decision making in the medical encounter: are we all talking about the same thing? Med Decis Making. 2007;27:539–46.CrossRefPubMed
3.
go back to reference Glass KE, Wills CE, Holloman C, Olson J, Hechmer C, Miller CK, et al. Shared decision making and other variables as correlates of satisfaction with health care decisions in a United States national survey. Patient Educ Couns. 2012;88:100–5.CrossRefPubMedPubMedCentral Glass KE, Wills CE, Holloman C, Olson J, Hechmer C, Miller CK, et al. Shared decision making and other variables as correlates of satisfaction with health care decisions in a United States national survey. Patient Educ Couns. 2012;88:100–5.CrossRefPubMedPubMedCentral
4.
go back to reference Torkildsen O, Myhr KM, Bo L. Disease-modifying treatments for multiple sclerosis-a review of approved medications. Eur J Neurol. 2016;23 suppl 1:18–27.CrossRefPubMed Torkildsen O, Myhr KM, Bo L. Disease-modifying treatments for multiple sclerosis-a review of approved medications. Eur J Neurol. 2016;23 suppl 1:18–27.CrossRefPubMed
5.
go back to reference Vermersch P, Berger T, Gold R, et al. How to personalise treatment in MS and how may biomarkers including imaging contribute to this? Mult Scler. 2016 [Epub ahead of print]. Vermersch P, Berger T, Gold R, et al. How to personalise treatment in MS and how may biomarkers including imaging contribute to this? Mult Scler. 2016 [Epub ahead of print].
6.
go back to reference Duquette P, Giacomini PS, Bhan V, et al. Balancing early aggression against risk of progression in multiple sclerosis. Can J Neurol Sci. 2016;43:33–43.CrossRefPubMed Duquette P, Giacomini PS, Bhan V, et al. Balancing early aggression against risk of progression in multiple sclerosis. Can J Neurol Sci. 2016;43:33–43.CrossRefPubMed
7.
go back to reference Colligan E, Metzler A, Tiryaki E. Shared decision-making in multiple sclerosis: A review. Mult Scler. 2016 [Epub ahead of print]. Colligan E, Metzler A, Tiryaki E. Shared decision-making in multiple sclerosis: A review. Mult Scler. 2016 [Epub ahead of print].
8.
go back to reference Bouniols N, Leclère B, Moret L. Evaluating the quality of shared decision making during the patient-carer encounter: a systematic review of tools. BMC Res Notes. 2016;9:382.CrossRefPubMedPubMedCentral Bouniols N, Leclère B, Moret L. Evaluating the quality of shared decision making during the patient-carer encounter: a systematic review of tools. BMC Res Notes. 2016;9:382.CrossRefPubMedPubMedCentral
9.
go back to reference Kriston L, Scholl I, Hölzel L, Simon D, Loh A, Härter M. The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample. Patient Educ Couns. 2010;80:94–9.CrossRefPubMed Kriston L, Scholl I, Hölzel L, Simon D, Loh A, Härter M. The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample. Patient Educ Couns. 2010;80:94–9.CrossRefPubMed
10.
go back to reference De Las CC, Perestelo-Perez L, Rivero-Santana A, Cebolla-Martí A, Scholl I, Härter M. Validation of the Spanish version of the 9-item Shared Decision-Making Questionnaire. Health Expect. 2015;18:2143–53.CrossRef De Las CC, Perestelo-Perez L, Rivero-Santana A, Cebolla-Martí A, Scholl I, Härter M. Validation of the Spanish version of the 9-item Shared Decision-Making Questionnaire. Health Expect. 2015;18:2143–53.CrossRef
11.
go back to reference Arroyo R, Sempere PA, Ruiz-Beato E, et al. Conjoint analysis to understand multiple sclerosis patients’ preferences for disease-modifying therapy attributes in Spain. BMJ Open. 2017;7:e014433.CrossRefPubMedPubMedCentral Arroyo R, Sempere PA, Ruiz-Beato E, et al. Conjoint analysis to understand multiple sclerosis patients’ preferences for disease-modifying therapy attributes in Spain. BMJ Open. 2017;7:e014433.CrossRefPubMedPubMedCentral
12.
go back to reference Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69:292–302.CrossRefPubMedPubMedCentral Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69:292–302.CrossRefPubMedPubMedCentral
13.
go back to reference Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.CrossRefPubMed Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.CrossRefPubMed
14.
go back to reference Mokken RJ. Nonparametric models for dichotomous responses. In: van der Linden WJ, Hambleton RK, editors. Handbook of Modern Item Response Theory. New York: Springer; 1997.351–67. Mokken RJ. Nonparametric models for dichotomous responses. In: van der Linden WJ, Hambleton RK, editors. Handbook of Modern Item Response Theory. New York: Springer; 1997.351–67.
15.
go back to reference Molenaar IW. Nonparametric models for polytomous responses. In: van der Linden WJ, Hambleton RK, editors. Handbook of Modern Item Response Theory. New York: Springer-Verlag; 1997.369–80. Molenaar IW. Nonparametric models for polytomous responses. In: van der Linden WJ, Hambleton RK, editors. Handbook of Modern Item Response Theory. New York: Springer-Verlag; 1997.369–80.
16.
go back to reference Muraki E. A Generalized Partial Credit Model: Application of an EM Algorithm. Applied Psychological Measurement. SAGE Publications. 1992;16(2):159–76. Muraki E. A Generalized Partial Credit Model: Application of an EM Algorithm. Applied Psychological Measurement. SAGE Publications. 1992;16(2):159–76.
17.
go back to reference Brown TA. Confirmatory factor analysis for applied research. New York: The Guilford Press; 2006. Brown TA. Confirmatory factor analysis for applied research. New York: The Guilford Press; 2006.
18.
19.
20.
go back to reference Rizopoulos D. An R package for latent variable modeling and item response theory analyses. J Stat Softw. 2006;17:1–25.CrossRef Rizopoulos D. An R package for latent variable modeling and item response theory analyses. J Stat Softw. 2006;17:1–25.CrossRef
21.
go back to reference Rosseel Y. An R package for structural equation modeling. J Stat Softw. 2012;48:1–36.CrossRef Rosseel Y. An R package for structural equation modeling. J Stat Softw. 2012;48:1–36.CrossRef
22.
go back to reference Scholl I, Kriston L, Dirmaier J, Buchholz A, Härter M. Development and psychometric properties of the shared decision-making questionnaire--physician version (SDM-Q-Doc). Patient Educ Couns. 2012;88:284–90.CrossRefPubMed Scholl I, Kriston L, Dirmaier J, Buchholz A, Härter M. Development and psychometric properties of the shared decision-making questionnaire--physician version (SDM-Q-Doc). Patient Educ Couns. 2012;88:284–90.CrossRefPubMed
23.
go back to reference Scholl I, Kriston L, Dirmaier J, Härter M. Comparing the nine-item Shared Decision-Making Questionnaire to the Option Scale – an attempt to establish convergent validity. Health Expect. 2015;18:137–50.CrossRefPubMed Scholl I, Kriston L, Dirmaier J, Härter M. Comparing the nine-item Shared Decision-Making Questionnaire to the Option Scale – an attempt to establish convergent validity. Health Expect. 2015;18:137–50.CrossRefPubMed
24.
go back to reference Rodenburg-Vandenbussche S, Pieterse AH, Kroonenberg PM, Scholl I, van der Weijden T, Luyten GPM, Kruitwagen RF, den Ouden H, Carlier IV, van Vliet IM, Zitman FG, Stiggelbout AM. Dutch Translation and Psychometric Testing of the 9-Item Shared Decision Making Questionnaire (SDM-Q-9) and Shared Decision Making Questionnaire-Physician Version (SDM-Q-Doc) in Primary and Secondary Care. PLoS One. 2015;10:e0132158.CrossRefPubMedPubMedCentral Rodenburg-Vandenbussche S, Pieterse AH, Kroonenberg PM, Scholl I, van der Weijden T, Luyten GPM, Kruitwagen RF, den Ouden H, Carlier IV, van Vliet IM, Zitman FG, Stiggelbout AM. Dutch Translation and Psychometric Testing of the 9-Item Shared Decision Making Questionnaire (SDM-Q-9) and Shared Decision Making Questionnaire-Physician Version (SDM-Q-Doc) in Primary and Secondary Care. PLoS One. 2015;10:e0132158.CrossRefPubMedPubMedCentral
25.
go back to reference Tintoré M, Alexander M, Costello K, Duddy M, Jones DE, Law N, O’Neill GO, Uccelli A, Weissert R, Wray S. The state of multiple sclerosis: current insight into the patient/health care provider relationship, treatment challenges, and satisfaction. Patient Prefer Adherence. 2017;11:33–45.CrossRefPubMed Tintoré M, Alexander M, Costello K, Duddy M, Jones DE, Law N, O’Neill GO, Uccelli A, Weissert R, Wray S. The state of multiple sclerosis: current insight into the patient/health care provider relationship, treatment challenges, and satisfaction. Patient Prefer Adherence. 2017;11:33–45.CrossRefPubMed
26.
go back to reference Gafson A, Craner MJ, Matthews PM. Personalised medicine for multiple sclerosis care. Mult Scler. 2017;23:362–9.CrossRefPubMed Gafson A, Craner MJ, Matthews PM. Personalised medicine for multiple sclerosis care. Mult Scler. 2017;23:362–9.CrossRefPubMed
27.
go back to reference Bruce JM, Lynch SG. Multiple sclerosis: MS treatment adherence-how to keep patients on medication? Nat Rev Neurol. 2011;7:421–2.CrossRefPubMed Bruce JM, Lynch SG. Multiple sclerosis: MS treatment adherence-how to keep patients on medication? Nat Rev Neurol. 2011;7:421–2.CrossRefPubMed
Metadata
Title
Psychometric properties of the SDM-Q-9 questionnaire for shared decision-making in multiple sclerosis: item response theory modelling and confirmatory factor analysis
Authors
Javier Ballesteros
Ester Moral
Luis Brieva
Elena Ruiz-Beato
Daniel Prefasi
Jorge Maurino
Publication date
01-01-2017
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2017
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-017-0656-2

Other articles of this Issue 1/2017

Health and Quality of Life Outcomes 1/2017 Go to the issue