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Abstract Number: 0747

Understanding Heterogeneity in Patients’ Conceptualization of Treatment for Rheumatoid Arthritis: A Cluster Analysis

Betty Hsiao1, Julie Downs2, Mandy Lanyon2, Leslie Harrold3, Jeffrey Curtis4, Susan Blalock5, Carole Wiedmeyer6, SHILPA VENKATACHALAM7, William Nowell8 and Liana Fraenkel9, 1Yale-New Haven Medical Center, New Haven, CT, 2Carnegie Mellon, Pittsburgh, PA, 3Corrona, LLC, Northborough, MA, 4Division of Clinical Immunology and Rheumatology, Department of Medicine, Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, 5Chapel Hill, Chapel Hill, NC, 6Global Healthy Living Foundation, Nyack, NY, 7Global Healthy Living Foundation, New York, NY, 8Global Healthy Living Foundation, Upper Nyack, NY, 9Berkshire Medical Center, Lenox, MA

Meeting: ACR Convergence 2021

Keywords: Access to care, education, patient, rheumatoid arthritis

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Session Information

Date: Sunday, November 7, 2021

Title: Patient Outcomes, Preferences, & Attitudes Poster II: Measurements (0739–0763)

Session Type: Poster Session B

Session Time: 8:30AM-10:30AM

Background/Purpose: Uptake of treat to target strategies for the management of rheumatoid arthritis (RA) is low. While there are known system-related barriers to accessing treatment, poor primary (starting) and secondary (continuing) adherence are prevalent causes of suboptimal care. The objective of this study was to better understand the heterogeneity in patients’ conceptualization of treatment of RA in order to inform interventions aimed at improving appropriate utilization of DMARDs.

Methods: Participants were recruited from an online research registry. Those meeting eligibility criteria [physician diagnosed RA currently being treated with DMARD(s)] rated 56 items (coded on 5-point scales with appropriate anchors) reflecting concepts raised during preparatory in-depth individualized patient interviews. To combine similar items for ease of analysis and interpretation we conducted a principal components analysis using Varimax rotation. We then entered mean scores, weighted by how heavily each item loaded onto each factor, into a k-means cluster analysis. We examined whether demographic characteristics differed across clusters using ANOVA and chi-square for continuous and categorical variables, respectively.

Results: Participants (N= 621) ranged in age from 22 to 93, with a mean of 57 years old (SD= 11.5). Most (89%) were female and reported themselves to be non-Hispanic white (89%); 27% reported having a post-graduate degree. A scree plot revealed that a 4-factor solution explaining 36.8% of the variance would provide desirable interpretability, with a discontinuous drop in eigenvalues for additional factors slowly tapering and adding little discriminability between later solutions. The four factors (% variance explained, number of items) were: 1) Access to high quality care and support (12.10%, n= 21); 2) Comfortable adding/switching DMARDs (9.73%, n= 14); 3) Perceived favorable DMARD risk/benefit ratio (8.74%, n= 15); and 4) Confidence that testing reflects disease activity (6.20%, n= 6). Table 1 lists the mean ratings for items with factor loading scores of 6 or greater. A 5-cluster solution showed the most stable convergence of cluster centers after 10 iterations. Figure 1 shows the weighted mean scores for each factor across clusters. While four out of the five groups perceived a favorable DMARD risk/benefit ratio, all groups voiced some discomfort with adding or changing DMARDs, with Groups 2, 4 and 5 having particularly low scores. Level of comfort adding/switching DMARDs was not mitigated by access to high quality care and support. There were a greater number of non-white participants in Groups 4 and 5, and less well-educated participants in Group 5 (Table 2). No differences in age or sex across groups were observed.

Conclusion: Patients’ conceptualization of RA treatment varies. However, adding/switching DMARDs appears to be ubiquitous regardless of the perceived benefits associated with DMARDs and access to high quality care and support. Interventions outside of the traditional physician-patient relationship are needed to facilitate treatment escalation in patients with RA. Further research is required to understand residual variance not explained by our model.

Table 1. List of Items

Figure 1. Weighted Ratings per Cluster

Table 2. Participant Characteristics Across Groups


Disclosures: B. Hsiao, None; J. Downs, None; M. Lanyon, None; L. Harrold, Bristol-Myers Squibb, 2, Roche, 2, AbbVie, 2, Pfizer, 5; J. Curtis, AbbVie, 2, Amgen, 2, 5, Bristol-Myers Squibb, 2, Janssen, 2, Eli Lilly, 2, Myriad, 2, Pfizer Inc, 2, 5, Roche/Genentech, 2, UCB, 2, CorEvitas, 2, 5, Crescendo Bio, 5; S. Blalock, None; C. Wiedmeyer, None; S. VENKATACHALAM, None; W. Nowell, Global Healthy Living Foundation, 3, AbbVie, 5, Amgen, 5, Eli Lilly, 5; L. Fraenkel, None.

To cite this abstract in AMA style:

Hsiao B, Downs J, Lanyon M, Harrold L, Curtis J, Blalock S, Wiedmeyer C, VENKATACHALAM S, Nowell W, Fraenkel L. Understanding Heterogeneity in Patients’ Conceptualization of Treatment for Rheumatoid Arthritis: A Cluster Analysis [abstract]. Arthritis Rheumatol. 2021; 73 (suppl 9). https://acrabstracts.org/abstract/understanding-heterogeneity-in-patients-conceptualization-of-treatment-for-rheumatoid-arthritis-a-cluster-analysis/. Accessed .
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All abstracts accepted to ACR Convergence are under media embargo once the ACR has notified presenters of their abstract’s acceptance. They may be presented at other meetings or published as manuscripts after this time but should not be discussed in non-scholarly venues or outlets. The following embargo policies are strictly enforced by the ACR.

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