Date of Completion
5-9-2014
Degree Type
Honors Thesis - Campus Access
Discipline
Psychology (PSYC)
First Advisor
David J. Hardy, Ph.D.
Abstract
The data of 105 patients with rheumatoid arthritis (RA) were used to examine a model describing the interrelations among objective disease activity (DAS-28 Swollen Joint Count and Erythrocyte Sedimentation Rate), RA patient-rated disease activity (Rapid Assessment of Disease Activity in Rheumatology total joint score and disease activity), and the physician examination-based total joint tenderness rating (TJC), as determinants of physician-rated disease activity. This study also evaluated the association of patients' non-white ethnicity and depression with patient-rated disease activity scores. Structural equation modeling was adopted to elucidate the complexity of relations among variables in the proposed model and revealed a good fit of the data, x2{23}=32.51, p = 0.09, CFI = 0.96, RMSEA = 0.06. Objective disease activity was positively associated with patient-rated disease activity, TJC and physician-rated disease activity. The level of depressive symptomatology and non-white ethnicity were related to higher levels of patient-rated disease activity. While objective disease activity had a strong direct correlation with physician-rated disease activity, partial mediation was established because the strength of this association diminished when the model included the specified predictors. Specifically, as a sole predictor, the effect of objective disease activity on physician-rated disease activity was significant (β = .85, p < 0.001). The direct effect of objective disease activity on physician-rated disease activity was still significant but reduced after patient-rated disease activity and TJC were added to the model (β = .54, p < .01). Findings confirmed the importance of a multi-dimensional framework in evaluating RA disease activity assessment.
Recommended Citation
Ayeroff, Julia R., "Model Examining Factors Related to Physicians' Ratings of Disease Activity in Patients with Rheumatoid Arthritis" (2014). Honors Thesis. 65.
https://digitalcommons.lmu.edu/honors-thesis/65