Patient preferences for rheumatoid arthritis treatment.

PURPOSE OF REVIEW: To provide an overview of recent articles discussing patient preferences for rheumatoid arthritis (RA) treatment. RECENT FINDINGS: Recent studies examined patient preferences for RA treatment in several populations, finding that most participants were willing to accept certain risks of adverse effects to gain potential benefits. Perspectives regarding cannabis were studied, with patients describing medical marijuana as an alternative therapy to be used with prescription medications or as means of tapering off these medications. Treatment preferences for different RA therapies were explored using a conjoint analysis survey and five distinct preference phenotypes emerged, with members of the largest group most concerned with the cost of medications. Other discrete choice studies demonstrated route of administration as an important attribute influencing treatment preferences, with patients expressing preference for various modes in different studies. Patient preferences for route of administration have demonstrated preference for newer autoinjectors over prefilled syringes as well as currently marketed autoinjectors. Incorporating patient preferences in clinical practice recommendations was described in the development of the 2015 American College of Rheumatology (ACR) RA treatment guidelines as well as the 2017 ACR/American Association of Hip and Knee Surgeons guidelines for perioperative management of antirheumatic medications. In addition, other studies explored preferences with regard to predictive testing, medication intensification and tapering, treatment goals, and psychological support. SUMMARY: Our review of recent studies show variability in patient preferences for RA treatment, highlighting the importance of incorporating patient input into the treatment approach.

Incorporating the patient's perspective in outcomes research.

PURPOSE OF REVIEW: Incorporation of the patients' perspective in clinical research is critical to ensure that outcomes measured reflect those, which matter most to patients. This review summarizes recent efforts to include the patients' perspective in the development of outcome measures and the importance of encouraging patient participation in decision-making and self-management. RECENT FINDINGS: Since the inclusion of fatigue as a patient-endorsed core outcome measure in rheumatoid arthritis (RA) trials, OMERACT has been instrumental in advocating for patient involvement in the development of core domains and instruments; current endeavors include cultivating an understanding of remission through the eyes of patients and gaining a sense of how to measure features of pain and 'stiffness' deemed as important to patients. The concept of remission was further explored in RA patients, highlighting a common goal of returning to normality; additionally, various tools have been developed to assess for unmet needs in rheumatology patients. Advances have also been made in the development and revision of patient-centered core measures in rheumatologic diagnoses outside of RA. SUMMARY: Incorporating the patients' perspective is now considered an essential feature in outcomes research. Future research should focus on how best to involve patients in specific research activities.

Implementation of a Best Practice Advisory to Improve Infection Screening Prior to New Prescriptions of Biologics and Targeted Synthetic Drugs.

OBJECTIVE: Use of biologic and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) in patients with preexisting tuberculosis (TB), hepatitis B virus (HBV), or hepatitis C virus (HCV) infection can have serious consequences. Although various society guidelines recommend routine screening for these infections before initiating certain b/tsDMARDs, adherence to these recommendations varies widely. This quality improvement initiative evaluated local compliance with screening and assessed whether an automated computerized decision support system in the form of a best practice advisory (BPA) in the electronic health record could improve patient screening. METHODS: Established patients with autoimmune rheumatic disease (ARD) aged 18 years or older with at least one visit to our rheumatology practice between October 1, 2017, and March 3, 2022, were included. When prescribing a new b/tsDMARD, clinicians were alerted via a BPA that showed the most recent results for TB, HBV, and HCV. Screening proportions for TB, HBV, and HCV before BPA initiation were compared with those of eligible patients after the BPA implementation. RESULTS: A total of 711 patients pre-BPA and 257 patients post-BPA implementation were included in the study. The BPA implementation was associated with statistically significant improvement in screening for TB from 66% to 82% (P ≤ 0.001), HCV from 60% to 79% (P ≤ 0.001), hepatitis B core antibody 32% to 51% (P ≤ 0.001), and hepatitis B surface antigen from 51% to 70% (P ≤ 0.001). CONCLUSION: Implementation of a BPA can improve infectious disease screening for patients with ARD who are started on b/tsDMARDs and has potential to improve patient safety.

Understanding Heterogeneity in Patients' Conceptualisation of Treatment for Rheumatoid Arthritis: A Cluster Analysis.

OBJECTIVE: Uptake of treat-to-target (TTT) strategies for rheumatoid arthritis (RA) management is low. Our objective was to understand the heterogeneity in patients' conceptualisation of RA treatment to inform interventions improving TTT uptake. DESIGN: Eligible participants recruited from an online research registry rated 56 items (on 5-point scales) reflecting concepts raised from patient interviews. Using items describing adhering to physician recommendations to create a binary criterion variable for medication adherence, we conducted a principal components analysis on the remaining items using Varimax rotation, describing how these factors predict adherence over and above demographic characteristics. We further use optimal sets in regression to identify the individual concepts that are most predictive of medication adherence. RESULTS: We found significant heterogeneity in patients' conceptualisation of RA treatment among 621 persons with RA. A scree plot revealed a four-factor solution explained 38.4% of the variance. The four factors expected to facilitate TTT uptake were (% variance explained): (1) Access to high quality care and support (11.3%); (2) low decisional conflict related to changing disease-modifying antirheumatic drugs (DMARDs) (10.1%); (3) endorsement of a favourable DMARD risk/benefit ratio (9.9%); and (4) confidence that testing reflects disease activity (7.2%). These factors account for 13.8% of the variance in full medication adherence, fully explaining the only significant demographic predictor, age of the patient. The individual items most predictive of poor adherence centre on the lack of effective patient-physician communication, specifically insufficient access to information from rheumatologists, along with the need to seek information elsewhere. CONCLUSION: Patients' conceptualisation of RA treatment varies; however, almost all patients have difficulty escalating DMARDs, even with access to quality information and an understanding of the benefits of TTT. Tailored interventions are needed to address patient hesitancy to escalate DMARDs.

Rheumatologist and Patient Mental Models for Treatment of Rheumatoid Arthritis Help Explain Low Treat-to-Target Rates.

OBJECTIVE: Despite proven benefits, less than half of patients with rheumatoid arthritis (RA) are treated using a treat-to-target (TTT) strategy. Our objective was to identify critical discrepancies between rheumatologist and patient mental models related to the treatment of RA to inform interventions designed to increase implementation of TTT. METHODS: We developed rheumatologist and patient mental models using the Mental Models Approach to Risk Communication. We conducted semistructured interviews to elicit views related to RA treatment decisions with 14 rheumatologists and 30 patients with RA. We also included responses (n = 284) to an open-ended question on a survey fielded to augment qualitative descriptions from the interviews. Interviews were transcribed and coded independently by two members of the research team. RESULTS: Rheumatologist and patient mental models for RA treatment are significantly more complex than the TTT model. Both consider domains (system factors and patient readiness) outside of disease activity measurement, target setting, and risk versus benefit assessment in their decision-making. Furthermore, specific factors were found to be unique to each model. For example, the physician model stresses the importance of evaluating disease activity over time and patient adherence. In contrast, patients discussed the impact of chronic disease weariness, medication-related fatigue, the importance of feeling adequately informed, and stress associated with changing medications. CONCLUSION: We found several discrepancies primarily related to information gaps and differences in how patients and physicians value trade-offs that can serve as specific targets to improve patient-physician communication and ultimately inform interventions to improve uptake of TTT.

Vaccinations and Biologics.

The emergence of biologics has revolutionized the way physicians treat many autoimmune inflammatory conditions. Although biologics have become a vital component of the treatment approach to many inflammatory diseases, these agents may potentially disrupt the natural immune response against pathogens, thereby increasing the risk for infections. Some infections may be preventable or have a lessened risk through appropriate vaccinations; thus, vaccination history should be taken carefully in preparation for biologics and updated annually to maximize benefits while minimizing adverse effects. The objective of this review is to summarize recent articles, including guidelines, published that address vaccinations among patients on biologics.

Qualitative Exploration of Triangulated, Shared Decision-Making in Rheumatoid Arthritis.

OBJECTIVE: Treat-to-target implementation in rheumatoid arthritis (RA) requires a shared decision-making (SDM) process. However, ability to pay is a major determinant of patient choice, but how this factor affects SDM is under-explored. METHODS: Visits at 4 RA clinics during which patients faced a decision to change their treatment were audiotaped between May 2016 and June 2017. Audiotapes were transcribed verbatim and analyzed using qualitative framework analysis. RESULTS: A total of 156 visits were analyzed. Most patients with RA, except those with effective insurance coverage, had deliberations disrupted or sidelined by third-party insurance providers having power to authorize the preferred disease-modifying antirheumatic drug choice. This triangulated SDM complicated efficiency in deliberations and timely treatment and was a barrier to shared engagement about health risks and symptom improvement typically found in patient-provider dyads. CONCLUSION: Rheumatology care providers should aim to incorporate treatment costs and ability to pay into their deliberations so that individualized out-of-pocket estimates can be considered during triangulated SDM at the point-of-care.

Preference Phenotypes in Support of Shared Decision-Making at Point-of-Care for Patients With Rheumatoid Arthritis: A Proof-of-Concept Study.

OBJECTIVE: In this proof-of-concept study, we sought to evaluate whether a value clarification tool enabling patients to view a set of rheumatoid arthritis (RA) treatment preference phenotypes could be used to support shared decision-making at the point-of-care. METHODS: We conducted a pretest/post test study. English-speaking patients with RA presenting to their scheduled outpatient visits were asked to participate. Visits for patients with active RA were transcribed. Shared decision-making components were measured using a quantitative coding scheme based on an established model of shared decision-making. RESULTS: Forty-six visits were included in the pretest and 40 in the post test phases. Providers offered more disease-modifying antirheumatic drugs (DMARDs) (2 or more) in the post test visits (60%) compared to the pretest visits (47.8%). Overall, more patients vocalized their values and/or preferences in the post test visits compared to the pretest visits for treatment escalation decisions including a choice of 1 new DMARD (90.9% versus 56.3%), 2 or more new DMARDs (95.8% versus 86.4%), as well as prednisone (87.5% versus 66.7%). Providers were also more likely to base their recommendations on patients' values and/or preferences in the post test (100% of 6 visits) than the pretest (64.3% of 14 visits) phases during visits in which a recommendation was made. The mean ± SD length of the visit was 29.9 ± 11.6 minutes and 25.1 ± 10.7 minutes in the pretest and post test phases, respectively. CONCLUSION: This study provides an early indication that a value clarification tool allowing patients to consider a set of preference phenotypes can support shared decision-making at the point-of-care without extending visit time.

Understanding the Factors That Influence Risk Tolerance Among Minority Women: A Qualitative Study.

OBJECTIVE: To explore the factors that influence risk tolerance among women from different racial/ethnic groups. METHODS: In-depth individual interviews of non-Hispanic African American, non-Hispanic white, and Hispanic women ages 20-45 years were conducted by a trained interviewer using a semi-structured interview guide to elicit the factors that influence risk tolerance among minority women. The interviews were audiotaped and professionally transcribed, with a final sample size of 36 determined by thematic saturation. The members of the research team used open coding to review and develop a list of codes, which was modified as new codes emerged. A final list of 35 codes was applied to the transcripts and combined into broader themes. RESULTS: The study included 30.6% non-Hispanic African American, 33.3% non-Hispanic white, and 36.1% Hispanic women, with a mean ± SD age of 34.8 ± 6.8 years. Several major themes explaining risk aversion among minority women emerged: discrepancies in quality of health care, perceived prejudice, lack of knowledge and education, medication beliefs, risk perception, and constrained resources. The latter was discussed most frequently. CONCLUSION: While our findings identify several concerns that may be addressed through implementation of more effective communication strategies by medical providers, they also highlight that disparities are strongly influenced by the complex ways financial and social constraints impact health care decisions of minority women.

Simultaneous detection of microsatellite repeats and SNPs in the macrophage migration inhibitory factor (MIF) gene by thin-film biosensor chips and application to rural field studies.

Microsatellite repeat and single nucleotide polymorphisms (SNPs) are abundant sources of genetic variation, but existing methodologies cannot simultaneously detect these variants in a facile or inexpensive way. We describe herein a thin-film biosensor chip based on an allele-discriminating oligonucleotide array that enables genotyping for both microsatellite repeats and SNPs in a single analysis. We validated this methodology for the functionally polymorphic -794 CATT(5-8) repeat and -173 G/C SNP present in the promoter of the human gene for macrophage migration inhibitory factor (MIF). In a comparison of 30 samples collected at a rural hospital in Zambia, we observed a 100% concordance for both the CATT repeat and G/C SNP between the biosensor methodology and the conventional capillary electrophoresis. The biosensor chips are low in cost and once printed, they are robust and require no instrumentation for analysis. When combined with multiple displacement amplification, this methodology can be utilized in primitive settings for the genotyping of nanogram quantities of DNA present in blood, dried and stored on filter paper samples. We applied this methodology to a field study of MIF genotype in children with malaria, and provide first evidence for a potential association between MIF alleles and malaria infection. We also present data supporting significant population stratification of the low- versus high-expression forms of MIF that may bear on the role of this gene in infectious diseases.