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The online version of this article (doi:10.1007/s11136-016-1474-4) contains supplementary material, which is available to authorized users.
To develop a new questionnaire with good psychometric properties to measure satisfaction with medical care in patients with non-valvular atrial fibrillation.
The initial instrument was composed of 37 items, arranged in 6 dimensions: efficacy, ease and convenience, impact on daily activities, satisfaction with medical care, undesired effects of medication, and overall satisfaction. Items and dimensions were extracted from reviewing existing instruments, 3 focus groups with chronic patients, and a panel of 8 experts. Additionally, 3 visual analog scales measuring quality of life, effectiveness, and overall satisfaction were administered. A convenience sample of 119 patients was used for item reduction. Classic psychometric theory and item analysis techniques were used (exploratory factor and confirmatory factor analysis, test–retest, and correlation with visual scales). A validation sample of 230 patients was used to assess convergent validity, and an additional 220 patients sample was used to discriminate between treatment and compliance groups.
The questionnaire was reduced in length to 25 items, but the impact dimension had split in treatment inconvenience and treatment control. Overall reliability was high (α = 0.861) with acceptable dimensional reliabilities (α = 0.764–0.908). Individual dimensions correlated to varying degrees. Test–retest correlations were high (r = 0.784–0.965), and correlations with visual and already validated scales were substantial. Differences were detected between antivitamin K and new-oral-anticoagulant treatments in several dimensions (p < 0.05). Treatment satisfaction was related with compliance.
This new 25-item questionnaire has good psychometric properties for measuring satisfaction with medical care in patients with this condition. It is capable of detecting differences between different treatments.
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Supplementary material 1 (DOCX 31 kb)11136_2016_1474_MOESM1_ESM.docx
Rummel, R. J. (1970). Applied factor analysis. Evanston: Northwestern University Press.
Boomsma, A. (1985). Nonconvergence, improper solutions, and starting values in LISREL maximum likelihood estimation. Psychometrika,52, 345–370.
Marsh, H. W., & Hau, K.-T. (1999). Confirmatory factor analysis: Strategies for small sample sizes. In R. H. Hoyle (Ed.), Statistical strategies for small sample size (pp. 251–306). Thousand Oaks: Sage.
Wang, J., & Wang, X. (2012). Structural equation modeling. Applications using Mplus. Hoboken: Wiley. CrossRef
Anderson, J. C., & Gerbing, D. W. (1998). Structural equation modeling in practice: A review and recommended two step approach. Psychological Bulletin,103, 411–423. CrossRef
Ding, L., Velicer, W. F., & Harlow, L. L. (1995). Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices. Structural Equation Modeling,2, 119–144. CrossRef
Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Boston: Allyn & Bacon.
Hoogland, J. J., & Boomsma, A. (1998). Robustness studies in covariance structure modeling: An overview and a meta-analysis. Sociological Methods and Research,26, 329–367. CrossRef
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
Atkinson, M. J., Sinha, A., Hass, S. L., Colman, S. S., Kumar, R. N., & Rowland, C. R. (2004). Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medications (TSQM) using a National Panel Study of Chronic Disease. Health Qual Life Outcomes,2, 12–25. CrossRefPubMedPubMedCentral
Prins, M. H., Marrel, A., Carita, P., Anderson, D., Bousser, M. G., Crijns, H., et al. (2009). Multinational development of a questionnaire assessing patient satisfaction with anticoagulant treatment: The ‘Perception of Anticoagulant Treatment Questionnaire’ (PACT-Q©). Health Qual Life Outcomes,7, 9. CrossRefPubMedPubMedCentral
Sánchez, R., Yanes, M., Cabrera, A., Ferrer, J. M., Álvarez, R., & Barrera, E. (2004). Adaptación transcultural de un cuestionario para medir la calidad de vida de los pacientes con anticoagulación oral. Atencion Primaria,34(7), 353–359. CrossRef
Spertus, J., Dorian, P., Bubien, R., Lewis, S., Godejohn, D., Reynolds, M. R., et al. (2011). Development and validation of the Atrial Fibrillation Effect on QualiTy-of-Life (AFEQT) questionnaire in patients with atrial fibrillation. Circulation Arrhythmia and Electrophysiology,4, 15–25. CrossRefPubMed
Badia, X., Arribas, F., Ormaetxe, J. M., Peinado, R., & de Los Terreros, M. S. (2007). Development of a questionnaire to measure health-related quality of life (HRQoL) in patients with atrial fibrillation (AF-QoL). Health Qual Life Outcomes,4(5), 37. CrossRef
Elewa, H. F, Deremer, C. E., Keller, K., Gujral, J., & Joshua, T. V. (2013). Patient satisfaction with warfarin and willingness to switch to dabigatran: A patient survey. Journal of Thrombosis and Thrombolysis Aug 6. [Epub ahead of print].
- Development and validation of a new questionnaire measuring treatment satisfaction in patients with non-valvular atrial fibrillation: SAFUCA®
Miguel A. Ruiz
José Ramón González-Porras
José Luis Aranguren
Tomás José González-López
Marina de Salas-Cansado
- Springer International Publishing