Andrea Tacchino1, Giampaolo Brichetto2, Paola Zaratin2, Mario Alberto Battaglia3, Michela Ponzio2. 1. Department of Research, Italian Multiple Sclerosis Foundation, Genoa, Italy. andrea.tacchino@aism.it. 2. Department of Research, Italian Multiple Sclerosis Foundation, Genoa, Italy. 3. Department of Life Science, University of Siena, Siena, Italy.
Abstract
INTRODUCTION: Several multiple sclerosis studies matching self- and physician assessment of disease course and disability show moderate and high agreement respectively. However, the role played by socio-demographic, clinical, and quality of life (QoL) factors was not much investigated. The study aims at exploring how self-/physician agreement could depend on these variables. MATERIALS AND METHODS: Participants were asked to report own disease course and disability according to preset categories. Kappa-value and confidence interval (CI) for disease course and two-way random interclass correlation coefficient (ICC) and CI for disability were calculated to evaluate self-/physician agreement. Χ2 was applied to examine whether other factors (gender, age, education, civil status, disease duration, fatigue, quality of life) had systematic effects. RESULTS: Data analysis on 203 participants indicated fair agreement (Kappa-value = 0.30; 95% CI 0.23-0.38) and no dependency on the categories of each variable for disease course. Satisfactory correlation was found for disability (ICC = 0.74; 95% IC 0.67-0.80), good agreement was found for almost all variable categories, and significant differences were observed for education (better agreement for higher levels), disease duration, fatigue and QoL (better agreement for worse conditions). DISCUSSION: Results seem to suggest that higher education and worse clinical and QoL conditions could engage the patient in developing more disease awareness and realistic self-perception and self-evaluation.
INTRODUCTION: Several multiple sclerosis studies matching self- and physician assessment of disease course and disability show moderate and high agreement respectively. However, the role played by socio-demographic, clinical, and quality of life (QoL) factors was not much investigated. The study aims at exploring how self-/physician agreement could depend on these variables. MATERIALS AND METHODS:Participants were asked to report own disease course and disability according to preset categories. Kappa-value and confidence interval (CI) for disease course and two-way random interclass correlation coefficient (ICC) and CI for disability were calculated to evaluate self-/physician agreement. Χ2 was applied to examine whether other factors (gender, age, education, civil status, disease duration, fatigue, quality of life) had systematic effects. RESULTS: Data analysis on 203 participants indicated fair agreement (Kappa-value = 0.30; 95% CI 0.23-0.38) and no dependency on the categories of each variable for disease course. Satisfactory correlation was found for disability (ICC = 0.74; 95% IC 0.67-0.80), good agreement was found for almost all variable categories, and significant differences were observed for education (better agreement for higher levels), disease duration, fatigue and QoL (better agreement for worse conditions). DISCUSSION: Results seem to suggest that higher education and worse clinical and QoL conditions could engage the patient in developing more disease awareness and realistic self-perception and self-evaluation.
Authors: Jessica Podda; Andrea Tacchino; Ludovico Pedullà; Margherita Monti Bragadin; Mario Alberto Battaglia; Giampaolo Brichetto Journal: Mult Scler Date: 2020-10-13 Impact factor: 5.855
Authors: Fevronia Adamopoulou; Victoria Alikari; Sofia Zyga; Maria Tsironi; Fotini Tzavella; Natalia Giannakopoulou; Paraskevi Theofilou Journal: Mater Sociomed Date: 2019-03
Authors: Ingrid E H Kremer; Mickael Hiligsmann; Josh Carlson; Marita Zimmermann; Peter J Jongen; Silvia M A A Evers; Svenja Petersohn; Xavier G L V Pouwels; Nick Bansback Journal: Med Decis Making Date: 2020-11 Impact factor: 2.583