Implementation of a clinician-led medication adherence intervention among patients with systemic lupus erythematosus.

OBJECTIVE: Medication nonadherence in systemic lupus erythematosus (SLE) leads to poor clinical outcomes. We developed a clinician-led adherence intervention that involves reviewing real-time pharmacy refill data and using effective communication to address nonadherence. Prior pilot testing showed promising effects on medication adherence. Here, we describe further evaluation of how clinicians implemented the intervention and identify areas for improvement. METHODS: We audio recorded encounters of clinician with patients who were nonadherent (90-day proportion of days covered (PDC) <80% for SLE medications). We coded recordings for intervention components performed, communication quality, and time spent discussing adherence. We also conducted semi-structured interviews with patients and clinicians about their experiences and suggestions for improving the intervention. We assessed change in 90-day PDC post-intervention. RESULTS: We included 25 encounters (median age 39, 100% female, 72% Black) delivered by 6 clinicians. Clinicians performed most intervention components consistently and exhibited excellent communication as coded by objective coders. Adherence discussions took on average 3.8 minutes, and 44% of patients had ≥20% increase in PDC post-intervention. In structured interviews, many patients felt heard and valued and described being more honest about nonadherence and more motivated to take SLE medications. Patients emphasized patient-clinician communication and financial and logistical assistance as areas for improvement. Some clinicians wanted additional resources and training to improve adherence conversations. CONCLUSION: We provide further evidence to support the feasibility, acceptability, and fidelity of the adherence intervention. Future work will optimize clinician training and evaluate the intervention's effectiveness in a large, randomized trial.

Evaluating factors associated with telehealth appropriateness in outpatient rheumatoid arthritis encounters using the Encounter Appropriateness Score for You (EASY).

OBJECTIVE: Telehealth has been proposed as a safe and effective alternative to in-person care for rheumatoid arthritis (RA). The purpose of this study was to evaluate factors associated with telehealth appropriateness in outpatient RA encounters. METHODS: A prospective cohort study (1/1/21-8/31/21) was conducted using electronic health record data from outpatient RA encounters in a single academic rheumatology practice. Rheumatology providers rated the telehealth appropriateness of their own encounters using the Encounter Appropriateness Score for You (EASY) immediately following each encounter. Robust Poisson regression with Generalized Estimating Equations (GEE) modeling was used to evaluate the association of telehealth appropriateness with patient demographics, RA clinical characteristics, comorbid non-inflammatory causes of joint pain, previous and current encounter characteristics, and provider characteristics. RESULTS: During the study period, 1,823 outpatient encounters with 1,177 unique RA patients received an EASY score from 25 rheumatology providers. In the final multivariate model [Relative Risk (95% Confidence Interval)], factors associated with increased telehealth appropriateness included higher average provider preference for telehealth in prior encounters [1.26 (1.21-1.31)], telehealth as the current encounter modality [2.27 (1.95-2.64)], and increased patient age [1.05 (1.01-1.09)]. Factors associated with decreased telehealth appropriateness included moderate [0.81 (0.68-0.96)] and high [0.57 (0.46-0.70)] RA disease activity and if the previous encounter were conducted via telehealth [0.83 (0.73-0.95)]. CONCLUSION: In this study, telehealth appropriateness was most associated with provider preference, the current and previous encounter modality, and RA disease activity. Other factors like patient demographics, RA medications, and comorbid non-inflammatory causes of joint pain were not associated with telehealth appropriateness.

Interpreting hydroxychloroquine blood levels for medication non-adherence: a pharmacokinetic study.

OBJECTIVE: Characterise the relationship between hydroxychloroquine (HCQ) blood levels and the number of missed doses, accounting for dosage, dose timing and the large variability in pharmacokinetics (PK) between patients. METHODS: We externally validated a published PK model and then conducted dosing simulations. We developed a virtual population of 1000 patients for each dosage across a range of body weights and PK variability. Using the model, 10 Monte Carlo simulations for each patient were conducted to derive predicted whole blood concentrations every hour over 24 hours (240 000 HCQ levels at steady state). To determine the impact of missed doses on levels, we randomly deleted a fixed proportion of doses. RESULTS: For patients receiving HCQ 400 mg daily, simulated random blood levels <200 ng/mL were exceedingly uncommon in fully adherent patients (<0.1%). In comparison, with 80% of doses missed, approximately 60% of concentrations were <200 ng/mL. However, this cut-off was highly insensitive and would miss many instances of severe non-adherence. Average levels quickly dropped to <200 ng/mL after 2-4 days of missed doses. Additionally, mean levels decreased by 29.9% between peak and trough measurements. CONCLUSIONS: We propose an algorithm to optimally interpret HCQ blood levels and approximate the number of missed doses, incorporating the impact of dosage, dose timing and pharmacokinetic variability. No single cut-off has adequate combinations of both sensitivity and specificity, and cut-offs are dependent on the degree of targeted non-adherence. Future studies should measure trough concentrations to better identify target HCQ levels for non-adherence and efficacy.

Evaluation of Type 2 SLE symptoms in patients with a range of lupus nephritis activity.

BACKGROUND: Type 2 systemic lupus erythematosus (SLE) symptoms, including fatigue, fibromyalgia, and brain fog, contribute to poor health-related quality of life (HRQoL) in patients with lupus. To test the hypothesis that Type 1 (classical inflammatory lupus) activity is associated with Type 2 SLE activity, we characterized the features of Type 2 SLE in patients with a range of lupus nephritis (LN) activity. METHODS: This was a cross-sectional study of SLE patients [American College of Rheumatology (ACR) 1997 or Systemic Lupus International Collaborating Clinics (SLICC) 2012 classification criteria] from June 2018 to March 2020. Patients completed the Systemic Lupus Activity Questionnaire (SLAQ) and the Polysymptomatic Distress Scale. Patients were divided into groups based on their renal status. Active nephritis was defined using the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) lupus nephritis parameter. Differences across groups were analyzed by Fisher's exact test and ANOVA. RESULTS: In this cohort of 244 patients (93% female, mean age 43 years, 58% Black), 10% had active nephritis, 35% had historical nephritis, and 55% never had nephritis (non-nephritis). Active nephritis and non-nephritis patients had a similar burden of Type 2 SLE symptoms, despite a difference in Type 1 SLE activity. Patients with active nephritis had higher Type 2 PGA (Physician Global Assessment) scores and reported more Type 2 SLE symptoms than inactive nephritis patients. Patients with inactive nephritis had the lowest Type 2 SLE activity. CONCLUSIONS: While Type 2 SLE symptoms are common in SLE, our findings suggest that patients with active nephritis experience significant Type 2 SLE symptoms that may be ameliorated as nephritis improves. We also observed that non-nephritis patients had a similar burden of Type 2 SLE symptoms as patients with active nephritis, despite having on average lower Type 1 SLE activity. Therefore, the etiology of Type 2 SLE symptoms is likely multifactorial and may be driven by inflammatory and non-inflammatory biopsychosocial factors. Key Points • Patients with active nephritis experienced significant Type 2 symptoms that may be ameliorated as nephritis improves. • Non-nephritis patients had a similar burden of Type 2 SLE symptoms as patients with active nephritis, despite having on average lower Type 1 SLE activity. • Because etiology of Type 2 SLE symptoms is likely multifactorial and may be driven by inflammatory and non-inflammatory biopsychosocial factors.

The Type 1 & 2 systemic lupus erythematosus model: Perspectives of people living with systemic lupus erythematosus.

OBJECTIVE: In the new Type 1 & 2 model for systemic lupus erythematosus (SLE), Type 1 SLE represents classic inflammatory manifestations, such as arthritis, while Type 2 SLE encompasses symptoms such as pain and fatigue where the relationship to inflammation is less clear. The objective of this study was to interview individuals living with SLE to determine the content and face validity of the Type 1 & 2 SLE model. METHODS: We conducted a qualitative study using semi-structured interviews with a purposeful sample of participants who met classification criteria for SLE. Participants were asked to describe their experiences with Type 1 & 2 SLE symptoms and treatments, and they indicated if and how their personal experiences aligned with the Type 1 & 2 SLE model. All interviews were audio-recorded and transcribed; applied thematic analysis identified the most frequent and salient themes. RESULTS: We interviewed 42 participants with SLE. Type 2 SLE symptoms, such as pain and fatigue, were very common, with almost all participants experiencing some Type 2 symptoms at some point during their disease course. Participants described Type 1 SLE symptoms as being acute flares and life-threatening and Type 2 SLE symptoms as "everyday lupus" that affected their daily lives and were a dominant part of their SLE disease experience. Most participants stated they want their rheumatologists to discuss Type 2 symptoms during clinical appointments in order to address their full symptom experience. CONCLUSION: We demonstrated content and face validity of the Type 1 & 2 SLE model with people living with SLE. Participants in our study largely understood the model and felt it accurately reflected their experience living with SLE. Type 2 SLE symptoms are very common in individuals with SLE and impact patients' quality of life. Using the model to address Type 2 SLE symptoms allows the rheumatologist to incorporate the patient's perspective and provide patient-centered care.

Evaluating Provider Perceptions of Telehealth Utility in Outpatient Rheumatology Telehealth Encounters.

OBJECTIVE: This study aims to explore the factors associated with rheumatology providers' perceptions of telehealth utility in real-world telehealth encounters. METHODS: From September 14, 2020 to January 31, 2021, 6 providers at an academic medical center rated their telehealth visits according to perceived utility in making treatment decisions using the following Telehealth Utility Score (TUS) (1 = very low utility to 5 = very high utility). Modified Poisson regression models were used to assess the association between TUS scores and encounter diagnoses, disease activity measures, and immunomodulatory therapy changes during the encounter. RESULTS: A total of 481 telehealth encounters were examined, of which 191 (39.7%) were rated as "low telehealth utility" (TUS 1-3) and 290 (60.3%) were rated as "high telehealth utility" (TUS 4-5). Encounters with a diagnosis of inflammatory arthritis were significantly less likely to be rated as high telehealth utility (adjusted relative risk [aRR], 0.8061; p = 0.004), especially in those with a concurrent noninflammatory musculoskeletal diagnosis (aRR, 0.54; p = 0.006). Other factors significantly associated with low telehealth utility included higher disease activity according to current and prior RAPID3 scores (aRR, 0.87 and aRR, 0.89, respectively; p < 0.001) and provider global scores (aRR, 0.83; p < 0.001), as well as an increase in immunomodulatory therapy (aRR, 0.70; p = 0.015). CONCLUSIONS: Provider perceptions of telehealth utility in real-world encounters are significantly associated with patient diagnoses, current and prior disease activity, and the need for changes in immunomodulatory therapy. These findings inform efforts to optimize the appropriate utilization of telehealth in rheumatology.

A qualitative study of facilitators of medication adherence in systemic lupus erythematosus: Perspectives from rheumatology providers/staff and patients.

OBJECTIVE: Systemic lupus erythematosus (SLE) disproportionately affects patients from racial and ethnic minority groups. Medication adherence is lower among these patient populations, and nonadherence is associated with worse health outcomes. We aimed to identify factors that enable adherence to immunosuppressive medications among patients with SLE from racial and ethnic minority groups. METHODS: Using a qualitative descriptive study design, we conducted in-depth interviews with purposefully selected (1) patients with SLE from racial and ethnic minority groups who were taking immunosuppressants and (2) lupus providers and staff. We focused on adherence facilitators, asking patients to describe approaches supporting adherence and for overcoming common adherence challenges and providers and staff to describe actions they can take to foster patient adherence. We used applied thematic analysis and categorized themes using the Capability, Opportunity, Motivation, Behavior (COM-B) model. RESULTS: We interviewed 12 patients (4 adherent and 8 nonadherent based on medication possession ratio) and 12 providers and staff. Although each patient described a unique set of facilitators, patients most often described social support, physical well-being, reminders, and ability to acquire medications as facilitators. Providers also commonly mentioned reminders and easy medication access as facilitators as well as patient education/communication and empowerment. CONCLUSION: Using an established behavioral change model, we categorized a breadth of adherence facilitators within each domain of the COM-B model while highlighting patients' individual approaches. Our findings suggest that an optimal adherence intervention may require a multi-modal and individually tailored approach including components from each behavioral domain-ensuring medication access (Capability) and utilizing reminders and social support (Opportunity), while coupled with internal motivation through improved communication and empowerment (Motivation).

Encounter Appropriateness Score for You Model: Development and Pilot Implementation of a Predictive Model to Identify Visits Appropriate for Telehealth in Rheumatology.

OBJECTIVE: We aimed to develop a decision-making tool to predict telehealth appropriateness for future rheumatology visits and expand telehealth care access. METHODS: The model was developed using the Encounter Appropriateness Score for You (EASY) and electronic health record data at a single academic rheumatology practice from January 1, 2021, to December 31, 2021. The EASY model is a logistic regression model that includes encounter characteristics, patient sociodemographic and clinical characteristics, and provider characteristics. The goal of pilot implementation was to determine if model recommendations align with provider preferences and influence telehealth scheduling. Four providers were presented with future encounters that the model identified as candidates for a change in encounter modality (true changes), along with an equal number of artificial (false) recommendations. Providers and patients could accept or reject proposed changes. RESULTS: The model performs well, with an area under the curve from 0.831 to 0.855 in 21,679 encounters across multiple validation sets. Covariates that contributed most to model performance were provider preference for and frequency of telehealth encounters. Other significant contributors included encounter characteristics (current scheduled encounter modality) and patient factors (age, Routine Assessment of Patient Index Data 3 scores, diagnoses, and medications). The pilot included 201 encounters. Providers were more likely to agree with true versus artificial recommendations (Cohen's κ = 0.45, P < 0.001), and the model increased the number of appropriate telehealth visits. CONCLUSION: The EASY model accurately identifies future visits that are appropriate for telehealth. This tool can support shared decision-making between patients and providers in deciding the most appropriate follow-up encounter modality.

Patient and Physician Perspectives of Systemic Lupus Erythematosus Flare: A Qualitative Study.

OBJECTIVE: Systemic lupus erythematosus (SLE) flares are associated with increased damage and decreased health-related quality of life. We hypothesized that there is discordance between physicians' and patients' views of SLE flare. In this study, we aimed to explore patient and physician descriptions of SLE flares. METHODS: We conducted a qualitative descriptive study using in-depth interviews with a purposeful sample of patients with SLE (who met 1997 American College of Rheumatology or Systemic Lupus International Collaborating Clinics criteria) and practicing rheumatologists. Interviews were audio-recorded, transcribed, and analyzed using applied thematic analysis. RESULTS: Forty-two patient participants with SLE, representing a range of SLE activity, completed interviews. The majority described flare symptoms as joint pain, fatigue, and skin issues lasting several days. Few included objective signs or laboratory measures, when available, as features of flare. We interviewed 13 rheumatologists from 10 academic and 3 community settings. The majority defined flare as increased or worsening SLE disease activity, with slightly more than half requiring objective findings. Around half of the rheumatologists included fatigue, pain, or other patient-reported symptoms. CONCLUSION: Patients and physicians described flare differently. Participants with SLE perceived flares as several days of fatigue, pain, and skin issues. Providers defined flares as periods of increased clinical SLE activity. Our findings suggest the current definition of flare may be insufficient to integrate both perceptions. Further study is needed to understand the pathophysiology of patient flares and the best way to incorporate patients' perspectives into clinical assessments.

Using PROMIS-29 to determine symptom burdens in the context of the Type 1 and 2 systemic lupus erythematosus (SLE) model: a cross sectional study.

OBJECTIVE: To account for heterogeneity in systemic lupus erythematosus (SLE) and bridge discrepancies between patient- and physician-perceived SLE activity, we developed the Type 1 and 2 SLE model. We examined PROMIS-29 scores, a composite patient-reported outcome (PRO) measure, through the lens of the model. METHODS: Patients completed PROMIS-29 and the polysymptomatic distress scale (PSD). Rheumatologists completed the SLE disease activity index (SLEDAI), and physician's global assessments (PGAs) for Type 1 and 2 SLE. We defined Type 1 SLE using SLEDAI, Type 1 PGA, and active nephritis, and Type 2 SLE using PSD and Type 2 PGA. We compared PROMIS-29 T-scores among Type 1 and 2 SLE groups and explored whether PROMIS-29 can predict Type 1 and 2 SLE activity. RESULTS: Compared to the general population, patients with isolated Type 1 SLE reported greater pain and physical dysfunction but less depression and improved social functions; patients with high Type 2 SLE (irrespective of Type 1 activity) reported high levels of pain, fatigue, and social and physical limitations. Patients with minimal Type 1 and 2 SLE had less depression and greater physical functioning with other domains similar to national norms. PROMIS-29 predicted Type 2 but not Type 1 SLE activity. CONCLUSION: PROMIS-29 similarities in patients with high Type 2 SLE, with and without active Type 1 SLE, demonstrate the challenges of using PROs to assess SLE inflammation. In conjunction with the Type 1 and 2 SLE model, however, PROMIS-29 identified distinct symptom patterns, suggesting that the model may help clinicians interpret PROs.

Development and psychometric evaluation of a physician global assessment for type 2 systemic lupus erythematosus symptoms.

OBJECTIVE: Manifestations of SLE can be categorised as type 1 (classic signs and symptoms of SLE) or type 2 (fatigue, widespread pain and brain fog with an unclear relationship to inflammation). While measures of type 1 SLE activity exist, most current physician-reported measures do not encompass type 2 SLE manifestations. To better evaluate type 2 SLE symptoms, we developed and psychometrically evaluated a physician-reported measure of type 2 symptoms, the Type 2 Physician Global Assessment ('Type 2 PGA'). METHODS AND ANALYSIS: The Type 2 PGA was developed and evaluated by six rheumatologists practising in the same academic lupus clinic. The study began with a roundtable discussion to establish consensus guidelines for scoring the Type 2 PGA. Following the roundtable, the Type 2 PGA was psychometrically evaluated using data prospectively collected from 263 patients with SLE enrolled in the Duke Lupus Registry. RESULTS: There was strong intra-rater and inter-rater reliability (intraclass correlation coefficient=0.83), indicating the Type 2 PGA scores were consistent within a rheumatologist and across rheumatologists. The Type 2 PGA was correlated with patient-reported symptoms of polysymptomatic distress (r=0.76), fatigue (r=0.68), cognitive dysfunction (r=0.63), waking unrefreshed (r=0.62) and forgetfulness (r=0.60), and weakly correlated with the Type 1 PGA and the Systemic Lupus Erythematosus Disease Activity Index. CONCLUSION: The Type 2 PGA performed well as a physician-reported measure of type 2 SLE symptoms. The incorporation of the Type 2 PGA into a routine rheumatology visit may improve patient care by bringing the provider's attention to certain symptoms not well represented in conventional measures of disease activity.

The impact of pregnancy planning and medical readiness on reproductive outcomes in women with systemic lupus erythematosus.

Women with systemic lupus erythematosus (SLE) who get pregnant while SLE is active or while on teratogens have higher risk of poor pregnancy outcomes. The American College of Rheumatology (ACR) Reproductive Health Guidelines recommend women conceive when SLE is well controlled and treated with pregnancy-compatible medications. The Healthy Outcomes in Pregnancy with SLE Through Education of Providers (HOP-STEP) Intervention was created to ascertain pregnancy interest and contraceptive use followed by a personalized pregnancy prevention and/or planning discussion (https://www.LupusPregnancy.org). All study participants were adult females enrolled in a prospective registry who met ACR or SLICC criteria. Women were defined as "not medically ready for pregnancy" if they were currently prescribed a teratogen, had proteinuria ≥500 mg, or had elevated SLE activity according to the physician's global assessment. Two time periods were assessed: 2/2018-12/2019 and 10/2020-4/2021 to evaluate pre- and post-pandemic periods, with some post-pandemic visits taking place via telehealth. The interest in pregnancy was similar between the first time period (17%) and the second time period, whether in-person (18%) or virtual (18%). Pregnancy interest was assessed significantly more frequently during in-person visits (90%) compared to virtual encounters (67%) (p = .02). Contraceptive use was not significantly different during either time period with use of a teratogen or increased SLE activity. Of the 52 women in both time periods who were not medically ready for pregnancy and were not on effective contraception, three women (5.8%) conceived. None of the women who were using moderate or highly effective contraception became pregnant. Pregnancy outcomes were similar between unintended or high-risk and well-timed pregnancies. The HOP-STEP Intervention effectively identified pregnancy interest, giving rheumatologists the opportunity to address patient reproductive goals, optimize disease activity, and adjust medication regimens prior to conception.

Incidence and Predictors of Relapse After Weaning Immune Suppressive Therapy in Cardiac Sarcoidosis.

Cardiac sarcoidosis (CS) is a relapsing-remitting disease, and immune suppression (IS) is the mainstay of therapy. Predictors of relapse for patients with CS in remission are not well characterized. We assessed incidence of relapse in consecutive patients with CS treated with high-dose steroids and/or steroid-sparing agents (SSA) in our center from 2000 to 2020. Remission was defined as reaching maintenance therapy (no IS, SSA, and/or prednisone ≤5 mg/d) for ≥1 month. Relapse was defined as recurrence of CS syndrome requiring IS intensification: heart failure, ventricular arrhythmia, decrease in left ventricular ejection fraction, or increased disease burden on imaging. Among 68 patients, the mean age was 50.7±9.0 years; 25 (37%) were women, and 32 (47%) were Black. In total, 59 patients (87%) reached remission. Over a median follow-up of 39.5 months (interquartile range 17.6, 92.5), 28 (48%) relapsed. Greater percentage of late gadolinium enhancement (LGE) on pretreatment magnetic resonance imaging corresponded with increased likelihood of relapse (odds ratio 1.396 per 5% increase [95% confidence interval (CI) 1.04 to 1.88]; p = 0.028). LGE ≥11% predicted elevated risk of relapse (adjusted odds ratio 4.998 [1.34 to 18.64]; p = 0.017). Shorter time to relapse was observed with isolated CS (adjusted hazard ratio 4.084 [1.44,11.56]; p = 0.008) and LGE ≥11% (adjusted hazard ratio 3.007 [1.01, 8.98]; p = 0.049). Approximately 1 in 2 patients with CS in remission experienced relapse. Greater burden of LGE on cardiac magnetic resonance imaging and isolated CS are associated with greater risk of relapse. Future work is needed to refine risk stratification for relapse and to optimize surveillance strategies on the basis of the burden of disease.

Association of Hurried Communication and Low Patient Self-Efficacy With Persistent Nonadherence to Lupus Medications.

OBJECTIVE: Medication nonadherence is common among patients with systemic lupus erythematosus (SLE), and adherence often fluctuates with time. Underrepresented racial minorities have disproportionately lower rates of medication adherence and more severe SLE manifestations. We aimed to identify modifiable factors associated with persistent medication nonadherence. METHODS: Patients taking ≥1 SLE medication were enrolled. Adherence data were obtained at baseline and at follow-up roughly 1 year later using both self-reported adherence and pharmacy refill data. Covariates included patient-provider interaction, patient self-efficacy, and clinical factors. We compared characteristics of patients in 3 groups using the Kruskal-Wallis H test: persistent nonadherence (low adherence by self-report and refill rates at both time points); persistent adherence (high adherence by self-report and refill rates at both time points); and inconsistent adherence (the remainder). RESULTS: Among 77 patients (median age 44 years, 53% Black, 96% female), 48% had persistent nonadherence. Compared with other adherence groups, patients with persistent nonadherence were younger and more likely to be Black, have lower income, take ≥2 SLE medications, have higher SLE-related damage at baseline, and have higher physician global assessment of disease activity at follow-up. Persistently nonadherent patients also rated more hurried communication with providers (particularly fast speech and difficult word choice) and had lower self-efficacy in managing medications. CONCLUSION: Potential avenues to improve medication adherence include optimizing patient-provider communication, specifically avoiding difficult vocabulary and fast speech, and enhancing patient self-efficacy, particularly among younger Black patients with lower income who are at higher risk for nonadherence.

Pilot Intervention to Improve Medication Adherence Among Patients With Systemic Lupus Erythematosus Using Pharmacy Refill Data.

OBJECTIVE: Despite high rates of medication nonadherence among patients with systemic lupus erythematosus (SLE), effective interventions to improve adherence in SLE are limited. We aimed to assess the feasibility of a pilot intervention and explore its effect on adherence. METHODS: The intervention used pharmacy refill data to monitor nonadherence and prompt discussions surrounding SLE medications during clinic encounters. Over 12 weeks, the intervention was delivered through routine clinic visits by providers to patients with SLE who take SLE-specific medications. We measured acceptability, appropriateness, and feasibility using provider surveys. We also measured acceptability by patient surveys and feasibility by medical record documentation. We explored change in adherence by comparing percent of patients with medication possession ratio (MPR) ≥80% 3 months before and after the intervention visit using the McNemar's test. RESULTS: Six rheumatologists participated; 130 patients were included in the analysis (median age 43, 95% female, and 59% racial and ethnic minorities). Implementation of the intervention was documented in 89% of clinic notes. Provider surveys showed high scores for feasibility (4.7/5), acceptability (4.4/5), and appropriateness (4.6/5). Among patient surveys, the most common reactions to the intervention visit were feeling determined (32%), empowered (32%), and proud (19%). Proportion of patients with MPR ≥80% increased from 48% to 58% (P = 0.03) after the intervention visit. CONCLUSION: Our intervention showed feasibility, acceptability, and appropriateness and led to a statistically significant improvement in adherence. Future work should refine the intervention, assess its efficacy in a controlled setting, and adapt its use among other clinic settings.

Development and Initial Validation of a Systemic Lupus Erythematosus-Specific Measure of the Extent of and Reasons for Medication Nonadherence.

OBJECTIVE: Medication nonadherence is common in patients with systemic lupus erythematosus (SLE) and negatively affects outcomes. To better recognize and address nonadherence in this population, there is a need for an easily implementable tool with interpretable scores. Domains of Subjective Extent of Nonadherence (DOSE-Nonadherence) is a measure that captures both extent of and reasons for nonadherence. We refined and evaluated DOSE-Nonadherence for patients with SLE. METHODS: We refined the reasons for the nonadherence domain of DOSE-Nonadherence through rheumatologist feedback and patient cognitive interviewing. We then administered the refined instrument to patients prescribed oral SLE medications and compared the results to the Beliefs About Medicines Questionnaire (BMQ), the Medication Adherence Self-Report Inventory (MASRI), medication possession ratios (MPRs), and hydroxychloroquine (HCQ) blood levels using Pearson correlations. RESULTS: Five rheumatologists provided feedback; 16 patients (median age 43 yrs, 100% female, 50% Black) participated in cognitive interviews and 128 (median age 49 yrs, 95% female, 49% Black, 88% on antimalarials, and 59% on immunosuppressants) completed the refined instrument. Items assessing extent of nonadherence produced reliable scores (α 0.89) and identified 47% as nonadherent. They showed convergent validity with MASRI (r = -0.57), HCQ blood levels (r = -0.55), to a lesser extent MPRs (r = -0.34 to -0.40), and discriminant validity with BMQ domains (r = -0.27 to 0.32). Nonadherent patients reported on average 3.5 adherence barriers, the most common being busyness/forgetting (62%), physical fatigue (38%), and pill fatigue (33%). CONCLUSION: Our results support the reliability and validity of DOSE-Nonadherence for SLE medications. This refined instrument, DOSE-Nonadherence-SLE, can be used to identify, rigorously study, and guide adherence intervention development in SLE.

Cardiac Sarcoidosis: Current Approaches to Diagnosis and Management.

PURPOSE OF REVIEW: Cardiac sarcoidosis (CS) is an important cause of non-ischemic cardiomyopathy and has specific diagnostic and therapeutic considerations. With advances in imaging techniques and treatment approaches, the approach to monitoring disease progression and management of CS continues to evolve. The purpose of this review is to highlight advances in CS diagnosis and treatment and present a center's multidisciplinary approach to CS care. RECENT FINDINGS: In this review, we highlight advances in granuloma biology along with contemporary diagnostic approaches. Moreover, we expand on current targets of immunosuppression focused on granuloma biology and concurrent advances in the cardiovascular care of CS in light of recent guideline recommendations. Here, we review advances in the understanding of the sarcoidosis granuloma along with contemporary diagnostic and therapeutic considerations for CS. Additionally, we highlight knowledge gaps and areas for future research in CS treatment.

Telehealth Made EASY: Understanding Provider Perceptions of Telehealth Appropriateness in Outpatient Rheumatology Encounters.

OBJECTIVE: The purpose of this study was to evaluate a novel scoring system, the Encounter Appropriateness Score for You (EASY), to assess provider perceptions of telehealth appropriateness in rheumatology encounters. METHODS: The EASY scoring system prompts providers to rate their own encounters as follows: in-person or telehealth acceptable, EASY = 1; in-person preferred, EASY = 2; or telehealth preferred, EASY = 3. Assessment of the EASY scoring system occurred at a single academic institution from January 1, 2021, to August 31, 2021. Data were collected in three rounds: 1) initial survey (31 providers) assessing EASY responsiveness to five hypothetical scenarios, 2) follow-up survey (34 providers) exploring EASY responsiveness to 11 scenario modifications, and 3) assessment of EASYs documented in clinic care. RESULTS: The initial and follow-up surveys demonstrated responsiveness of EASYs to different clinical and nonclinical factors. For instance, less than 20% of providers accepted telehealth when starting a biologic for active rheumatoid arthritis, although more than 35% accepted telehealth in the same scenario if the patient lived far away or was well known to the provider. Regarding EASY documentation, 27 providers provided EASYs for 12,381 encounters. According to these scores, telehealth was acceptable or preferred for 29.7% of all encounters, including 21.4% of in-person encounters. Conversely, 24.4% of telehealth encounters were scored as in-person preferred. CONCLUSION: EASY is simple, understandable, and responsive to changes in the clinical scenario. We have successfully accumulated 12,381 EASYs that can be studied in future work to better understand telehealth utility and optimize telehealth triage.

The use of patient-reported outcome measures to classify type 1 and 2 systemic lupus erythematosus activity.

OBJECTIVE: We developed a model that categorizes systemic lupus erythematosus (SLE) activity into two dimensions: Type 1 SLE consists of inflammatory activity, including arthritis, nephritis, and rashes; Type 2 SLE includes fatigue, myalgia, mood disturbance, and cognitive dysfunction. Patient-reported outcome (PRO) measures have received attention as a way to capture symptomatology of SLE. The objective of this study was to explore the use of existing PRO measures to classify Type 1 and 2 SLE activity. METHODS: Systemic lupus erythematosus patients completed three questionnaires: Systemic Lupus Activity Questionnaire (SLAQ), Polysymptomatic Distress Scale (PSD), and Patient Health Questionnaire (PHQ-2). SLE Disease Activity Index (SLEDAI) and physician global assessments (PGA; 0-3) for Type 1 and Type 2 activity were also recorded. High Type 1 SLE activity was defined as cSLEDAI ≥4 (scored without labs), SLEDAI ≥6, active nephritis, or Type 1 PGA ≥1.0. High Type 2 SLE activity was defined as Type 2 PGA ≥1.0. Patients with both high Type 1 and 2 activity were defined as Mixed SLE, and patients with low Type 1 and 2 activity were defined as Minimal SLE. Data were reduced with a factor analysis. Using a reduced set of 13 variables, multinomial logistic regression models estimated the probability of Minimal, Type 1, Type 2, and Mixed SLE classification. RESULTS: The study included 208 patients with SLE. The model accurately predicted the clinician-based Type 1 and 2 SLE classification in 63% of patients; 73% of patients had their Type 1 SLE activity accurately predicted; and 83% had their Type 2 SLE activity accurately predicted. Performance varied by group: 87% of Minimal patients were correctly predicted to be in the Minimal SLE group, yet only about one-third of patients in the Type 1 group were correctly predicted to be in the Type 1 group. CONCLUSIONS: Our findings indicate Type 2 SLE activity can be identified by patient-reported data. The use of PROs was not as accurate at predicting Type 1 activity. These findings highlight the challenges of using PROs to categorize and classify SLE symptoms since some manifestations of Type 1 activity (e.g., nephritis) may be essentially clinically silent while other Type 1 manifestations may cause severe symptoms.