Swipe om te navigeren naar een ander artikel
With a newly developed questionnaire, which integrates the patient and provider ratings on mobility and self-care on an IRT scale (MOSES-Combi) and thus ensures the same measurement scale for patients and providers, we examined the level of agreement between neurology patients and the physicians treating them, how agreement changes after rehabilitation, and what factors affect the extent of agreement.
A total of 258 neurology patients from nine inpatient rehabilitation centers and the physicians treating them filled out the MOSES-Combi at the beginning and end of rehabilitation. Multilevel analyses were conducted.
While the average value of the person parameters for patients and physicians is quite similar at the beginning of rehabilitation, there are highly significant differences after rehabilitation. The patient generally describes himself as more limited. Agreement at the individual level at the start of rehabilitation is moderate to substantial, with ICCs between .552 and .750. At the end of rehabilitation, agreement reduces. Factors that predict agreement are site and setting rehabilitation goals in the respective areas of mobility and self-care being observed.
Our study indicates that general organizational conditions can have an influence on the extent of agreement.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Fayers, P. M., & Machin, D. (2007). Quality of life: The assessment, analysis and interpretation of patient-reported outcomes (2nd ed.). Chichester: Wiley.
Farin, E. (2009). Integration of patient and provider assessments of mobility and self-care resulted in unidimensional item-response theory scales. Journal of Clinical Epidemiology. (in press) Available online: doi: 10.1016/j.jclinepi.2008.11.014.
Farin, E. & Fleitz, A. (2009). The development of an ICF-oriented, adaptive physician assessment instrument of mobility, self care, and domestic life. International Journal of Rehabilitation Research, 32(2), 98–107.
Hu, L. T., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. CrossRef
Tucker, L., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10. CrossRef
Bond, T. G., & Fox, C. M. (2001). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
Fischer, G. H., & Molenaar, I. W. (1995). Rasch models—foundations, recent developments, and applications. New York: Springer.
Hilari, K., Owen, S., & Farrelly, S. J. (2007). Proxy and self-report agreement on the stroke and aphasia quality of life scale-39. Journal of Neurology, Neurosurgery and Psychiatry, 78, 1072–1075. CrossRef
Gauggel, S., Böcker, M., Zimmermann, P., Privou, C., & Lutz, D. (2004). Patient–staff agreement on Barthel index scores at admission and discharge in a sample of elderly stroke patients. Rehabilitation Psychology, 49, 21–27. CrossRef
Dorman, P. J., Waddell, F., Slattery, J., Dennis, M., & Sandercock, P. (1997). Are proxy assessments of health status after stroke with the EuroQol questionnaire feasible, accurate, and unbiased? Stroke, 28, 1883–1887. PubMed
van der Linden, F., Kragt, J. J., van Bon, M., Klein, M., Thompson, A. J. & van der Ploeg, H. M. (2008). Longitudinal proxy measurements in multiple sclerosis: Patient-proxy agreement on the impact of MS on daily life over a period of two years. BMC Neurology, 8, 2.
van der Linden, F. A. H., Kragt, J. J., Hobart, J. C., Klein, M., Thompson, A. J., van der Ploeg, H. M., et al. (2006). Proxy measurements in multiple sclerosis: Agreement between patients and their partners on the impact of multiple sclerosis in daily life. Journal of Neurology, Neurosurgery and Psychiatry, 77, 1157–1162. CrossRef
Mathias, S. D., Bates, M. M., Pasta, D. J., Cisternas, M. G., Feeny, D., & Patrick, D. L. (1997). Use of the health utilities index with stroke patients and their caregivers. Stroke, 28, 1888–1894. PubMed
Mahoney, F. I., & Barthel, D. W. (1965). Functional evaluation: The Barthel index. Maryland State Medical Journal, 14, 61–65. PubMed
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Academic Press.
Menard, S. W. (2002). Applied logistic regression analysis (2nd ed.). Thousand Oaks, CA: Sage.
Montgomery, D. C., & Peck, E. A. (1992). Introduction to linear regression analysis. New York: Wiley.
Mantel, N. (1970). Why stepdown procedures in variable selection. Technometrics, 12, 621–625. CrossRef
Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurements. Lancet, 1, 307–310. PubMed
Sim, J., & Wright, C. C. (2005). The kappa statistic in reliability studies: Use, interpretation, and sample size requirements. Physical Therapy, 85, 257–268. PubMed
Suarez-Almazor, M. E., Conner-Spady, B., Kendall, C. J., Russel, A. S., & Skeith, K. (2001). Lack of congruence in the ratings of patients’ health status by patients and their physicians. Medical Decision Making, 21, 113–121. PubMed
Farin, E., Projektgruppe QS-Reha-Verfahren in der AQMS, Jäckel, W. H., & Schalaster, V. (2009). Das qualitätssicherungsverfahren der GKV in der medizinischen rehabilitation: Ergebnisse und weiterentwicklung (The quality assurance program of the statutory health insurance funds in medical rehabilitation: Results and further development). Das Gesundheitswesen, 71, 163–174. PubMedCrossRef
von Essen, L. (2004). Proxy ratings of patient quality of life. Acta Oncologica, 43, 229–234. CrossRef
Hewlett, S. A. (2003). Patients and clinicians have different perspectives on outcomes in arthritis. Journal of Rheumatology, 30, 877–879. PubMed
Neville, C., Clarke, A. E., Joseph, L., Belisle, P., Ferland, D., & Fortin, P. R. (2000). Learning from discordance in patient and physician global assessments of systemic lupus erythematosus disease activity. Journal of Rheumatology, 27, 675–679. PubMed
McColl, E. (2006). Cognitive interviewing. A tool for improving questionnaire design. Quality of Life Research, 15, 571–573. CrossRef
- Agreement of patient and physician ratings on mobility and self-care in neurological diseases
- Springer Netherlands