Socioeconomic Disparities in Functional Status in a National Sample of Patients With Rheumatoid Arthritis

Peripheral Geographic District and Low Socioeconomic Status Are Associated With Decreased Access to Biologics in Patients With Rheumatoid Arthritis

OBJECTIVE

Lack of insurance coverage, limited access to health services and lower socioeconomic status (SES) are contributors to inadequate utilization of biologic disease modifying anti-rheumatic drugs (bDMARD) in rheumatoid arthritis (RA). The broad national insurance coverage for bDMARDs in Israel provides a unique opportunity to study the impact of SES and geographical location without being biased by the limitation of insurance coverage.

METHODS

We identified RA patients using the International Classification of Disease 9th revised codes. "True" RA patients are defined as patients receiving conventional DMARDs, being positive for rheumatoid factor or anti-cyclic citrullinated peptide, or being diagnosed by a rheumatologist. We compared the four geographical districts with regard to drug survival times on first bDMARD, age at RA diagnosis and the mean number of bDMARDs per patient.

RESULTS

The cohort included 4268 "true" RA patients. Drug survival times on first bDMARD were shorter in northern (3.74 ± 4.77 years) and central districts (2.74 ± 4.87 years) compared to Jerusalem (5.46 ± 7.42 years) and southern districts (5.23 ± 6.21 years) (p < 0.001). Mean age at the time of RA diagnosis was significantly higher in the southern district (58.3 ± 17.7 years) compared to the northern (55.5 ± 15.7 years), central (53.0 ± 17.8 years) and Jerusalem districts (55.3 ± 18.8 years) (p = 0.014). Higher SES was associated with a higher number of bDMARDs per patient (2.3 ± 1.9, 2.1 ± 1.9 and 1.7 ± 2.9 for high, intermediate and low SES, respectively) (p = 0.031).

CONCLUSION

Residence in the Israeli periphery and lower SES are associated with delayed and suboptimal diagnosis and management of RA. Equal resources should be allocated to the periphery and areas with lower SES.

Influence of socioeconomic status on access to temporal artery biopsy and rates of biopsy positivity in patients with suspected giant cell arteritis

BACKGROUND

Data regarding the relationship between socioeconomic status (SES) and incidence of Giant Cell Arteritis (GCA) is conflicting. No previous studies have explored whether SES influences the likelihood of undergoing temporal artery biopsy (TAB). The aim of this study was to determine whether SES influences access to TAB and rate of biopsy positivity in those with suspected GCA.

METHODS

This retrospective study included consecutive patients who underwent TAB examined at SA Pathology between 2017 and 2022; age ≥ 50 years and resident in South Australia (SA). Patients' addresses were used to identify precise geographical areas. Area-level SES was determined using Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) scores, derived from 2016 Census data. IRSAD scores were grouped into population quintiles and analysed by multinomial regression.

RESULTS

626 participants were included, of whom 155 (25%) were TAB positive. Those with positive TAB were older (76 v 72 years) and a smaller proportion were female (63% v 71%). There was a shift towards a lower SES for patients undergoing TAB, with 161 (26%) in the lowest quintile and 107 (17%) in the highest (plinear<0.001). However, SES was not associated with TAB positivity; 34/161 (21%) participants were TAB positive in the lowest quintile compared to 33/107 (31%) in the highest (p = 0.19).

CONCLUSION

SES did not influence incidence of GCA. However, those from lower SES population quintiles were more likely to undergo TAB at a State Pathology service provider. Encouragingly, this suggests there is no issue with access to TAB in SA based on SES.

Burden of Emergency Department Visits and Their Outcomes Among Patients With Rheumatoid Arthritis: Insights From the Nationwide Emergency Department Sample

OBJECTIVE

Patients with rheumatoid arthritis (RA) frequently visit emergency departments (EDs), but their clinical characteristics and admission factors are poorly understood. Our study investigates the epidemiology and outcomes of ED visits among patients with RA using the Nationwide Emergency Department Sample (NEDS).

METHODS

This cross-sectional study used the 2019 NEDS data to identify RA-related ED visits using International Classification of Disease, Tenth Revision codes M05.X or M06.X. RA-related ED visits were defined as encounters in which RA was recorded in any diagnostic position. Demographics, clinical features, and comorbidities were compared between RA and non-RA ED visits. Racial variations were assessed, and multivariable logistic regression identified factors associated with inpatient admission.

RESULTS

We identified 905,811 (0.8%) ED visits for adults aged ≥18 years with RA. Compared to non-RA visits, RA ED visits had a higher proportion of patients aged ≥65 years, women, White patients, and Medicare-insured individuals with a greater comorbidity burden. Admission rates were 46% for RA visits versus 16% for non-RA visits. Black and Hispanic patients with RA were younger than White patients and more likely to belong to the lowest income quartile. Older age, male sex, and comorbidities were associated with higher admission odds, whereas Black race, lowest income quartile, and Medicaid coverage correlated with lower odds of admission. Septicemia was the most common primary ED diagnosis in patients with RA.

CONCLUSION

Patients with RA visiting the ED were older, had a higher comorbidity burden, and were three times more likely to be admitted than patients without RA. Black patients and those in the lowest income quartile had lower odds of admission, highlighting potential disparities and the need for targeted interventions to improve health equity.

An Exploratory Study of Factors Associated with Medication Adherence in Chinese Rheumatoid Arthritis Patients

Purpose

This study aims to estimate the prevalence of medication adherence in Chinese patients with RA and to identify factors influencing it.

Patients and Methods

A cross - sectional study was conducted, involving 1137 RA patients who were treated at a university hospital in Guizhou, China. Sociodemographic data, medication adherence, patient satisfaction, and quality of life (QoL) were collected through face-to-face interviews, while disease course and comorbidities (including pneumonia and gastrointestinal conditions) were extracted from hospital information systems (HIS). Multifactorial logistic regression analysis was applied to assess the factors influencing patients' adherence. Subsequently, mediation analysis was employed to delve deeper into the interrelationships among the variables.

Results

The proportion of patients with good adherence was 61.57%. Multivariable logistic regression analysis revealed that patient satisfaction (OR=2.079), treatment regimen (OR=0.280), and pulmonary infection (OR=1.695) were independently associated with medication adherence. The QoL scores for the groups demonstrating good adherence and satisfaction were markedly higher compared to those exhibiting non-adherence and dissatisfaction (P<0.001). Medication adherence mediated the positive relationship between patient satisfaction and mental health (MH) in QoL (β= 0.140).

Conclusion

Our study demonstrates a significant positive correlation between patient satisfaction and medication adherence. Improving patients' satisfaction with treatment is feasible approaches to enhancing medication adherence. However, Single-center studies limit the generalizability of results, and potential confounding by unmeasured variables should be considered.

Low Socioeconomic Status and Female Sex are Associated With Worse Functional Status in Axial Spondyloarthritis

OBJECTIVE

We determined whether socioeconomic status (SES) and sex are associated with functional status (FS) in axial spondyloarthritis (axSpA).

METHODS

We conducted a cohort study of patients with axSpA in the Rheumatology Informatics System for Effectiveness registry. We performed cross-sectional and longitudinal analyses of FS through the Multidimensional Health Assessment Questionnaire (MDHAQ) using generalized estimating equation models. Area Deprivation Index (ADI) was used as an SES proxy. The cross-sectional analysis tested for a linear trend across ADI quintiles for MDHAQ. The longitudinal analysis' outcome was functional decline. We reported predictive margins and assessed for interaction with sex. In the longitudinal analysis, we reported odds of functional decline.

RESULTS

In the cross-sectional analysis (N = 5,658), the mean ± SD age was 53.8 ± 15.2 years, 55.8% were female, and 71.4% were non-Hispanic White. The mean ± SD MDHAQ scores were 1.6 ± 2.0 in men versus 2.1 ± 2.2 in women. Predicted mean MDHAQ scores were 2.2 (95% confidence interval [CI] 1.8-2.7) for the lowest ADI quintile and 1.8 (95% CI 1.4-2.1) for the highest. Women had lower FSs compared to men across quintiles. In the longitudinal analysis (n = 2,341), the proportion with FS decline was 14.3% (95% CI 7.6-25.5%) for the lowest SES quintile compared to 9.6% (95% CI 5.2-17.1%) for the highest. Women had 1.7 (95% CI 1.3-2.2) times higher odds of functional decline compared to men. There was no interaction with sex.

CONCLUSION

In this large sample of patients with axSpA, those with lower SES had worse FS and functional decline. Women had worse FS than men, initially and over time.

New onset work disability in rheumatoid arthritis is an underrecognized cardiovascular risk factor: A retrospective cohort study using the CorEvitas registry

OBJECTIVES

Patients with rheumatoid arthritis (RA) are more likely to develop work disability than the general population. We investigated whether individuals younger than 65 years of age who had both RA and new-onset work disability were at higher risk of CVD compared to similarly aged individuals with RA who did not develop disability. We identified the factors that best explained the excess risk.

METHODS

This was a retrospective cohort study using data from the CorEvitas RA registry. Patients younger than 65 with RA were included. Exposure was new-onset work disability, and comparator was consistently working individuals. Cohorts were age- and sex-matched. Demographics, medications, and disease specific factors were collected for all patients. Incidence rates (IR) for cardiovascular events were calculated using Poisson regression and explanatory multivariable models were built using Cox proportional hazard ratios (HR) to determine the factors that explained the excess CVD risk.

RESULTS

Age and sex-adjusted IR was 5.40 per 1,000 person-years in the new-onset work disability group compared to 2.17 per 1,000 person-years in the working group. Work disability associated with CVD with HR = 2.32 (95 % CI 1.52, 3.53) in the age- and sex-adjusted model. Multivariate models accounting for functional status, education, medications, and traditional CVD risk factors could not fully explain the excess risk for CVD in newly work disabled patients with RA: HR = 1.78 (1.09, 2.91).

CONCLUSIONS

Patients younger than 65 with RA and new-onset work disability are at significantly increased risk for incident CVD compared to working peers. The excess CVD risk remained unexplained after accounting for multiple variables, possibly due to variables we cannot fully account for, such as social determinants of health and allostatic load.

Health Disparities in Rheumatology in the United States

Objective

Underserved populations are often at risk of experiencing systematic healthcare disparities. Existing disparities in care access, quality of care received, and treatment outcomes among patients with rheumatic disease are not well understood.

Methods

We conducted a targeted literature review to understand disparities in health outcomes, treatment patterns, and healthcare management faced by rheumatology patients in the United States, with a focus on rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS).

Results

The findings of this review indicate that disparities in RA, PsA, and AS affect several historically underserved populations, including underrepresented racial and ethnic groups, persons with lower socioeconomic status (SES), persons experiencing homelessness, and patients with Medicare or Medicaid insurance types. The disparities experienced by these populations include greater disease activity and severity, decreased or delayed access to specialist care, decreased likelihood of receiving advanced therapeutics, and worse clinical outcomes.

Conclusion

To provide equitable healthcare for all patients with RA, PsA, and AS, multiple closely linked health disparities must be addressed. Possible solutions include partnerships between healthcare systems and community-based organizations, targeted outreach tailored to patients with low SES, interventions to improve patient adherence and knowledge, and interventions to improve access to care for rural-residing and unhoused patients. In all, the findings of this literature review underscore the need for mitigation of health disparities in rheumatology care and may serve as a foundation for developing strategies to reduce disparities.

Geographic Socioeconomic Influences on Disease Activity in Rheumatoid Arthritis in an Academic and Safety Net Hospital System

OBJECTIVE

The objective of this study was to analyze the impact of the Area Deprivation Index (ADI) on disease activity and cardiovascular comorbidity in rheumatoid arthritis (RA).

METHODS

A retrospective analysis of adult patients with RA was conducted to highlight differences in academic and safety net hospital clinics. Demographics, RA medication history, patient portal engagement, primary care presence, emergency or inpatient visits, RA disease activity and functional scores, Charlson Comorbidity Index (CCI), and cardiovascular disease (CVD) presence were captured. The ADI rank was assigned using nine-digit zip codes. Patients were stratified by the upper versus lower ADI decile group and matched by age, sex, race, ethnicity, insurance, and CCI using propensity score analysis.

RESULTS

Patients with RA from the academic practice (n = 542) and the safety net hospital (n = 496) were assessed. In the academic cohort, those with high ADI scores (>8, more deprivation) had higher RA disease activity scores (Routine Assessment of Patient Index Data 3 mean ± SD: high 13.83 ± 6.94 vs low 11.17 ± 7.37, P < 0.0001; Clinical Disease Activity Index mean ± SD: high 11.97 ± 11.74 vs low 9.40 ± 7.97, P < 0.05), more functional impairment (Multidimensional Health Assessment Questionnaire mean ± SD: high 2.99 ± 2.29 vs low 2.34 ± 2.23, P < 0.01), lower MyChart use (P < 0.001), and different smoking history (P < 0.01) compared to those with low ADI scores (<3, less deprivation). In the safety net cohort, there was a statistically significant difference only in smoking status (P < 0.05). CVD was not significantly different in either cohort.

CONCLUSION

The absence of differences in RA disease activity and functional impairment in patients suggests that the ADI may not be as effective at predicting RA disease activity specifically in a safety net health care context. Identifying the discrepancies between the two systems may elucidate areas of improvement for patient care.

Difficult-to-treat rheumatoid arthritis: what have we learned and what do we still need to learn?

Difficult-to-treat RA (D2T RA) is an area of high unmet need. The prevalence reported in the first D2T RA cohort studies ranged from 5.5% to 27.5%. Key to the definition is a conviction by the patient and/or rheumatologist that disease management has become problematic and failure of at least two biological or targeted synthetic DMARDs. D2T RA is a multifactorial disease state which was reflected in data from D2T RA cohort studies: these pointed towards high prevalence of comorbidities and/or lower socioeconomic status in D2T RA subgroups, while others had persistent symptoms without these factors being present. A holistic approach is necessary to identify the root problems underlying D2T RA in individual patients. In this review, biological and non-biological drivers that should be considered to be optimized will be discussed in view of what we have learned from patient data emerging from the first D2T RA cohort studies.

Area-Level Socioeconomic Status Impacts Health Care Visit Frequency by Australian Patients With Inflammatory Arthritis: Results From the Australian Rheumatology Association Database

OBJECTIVE

Individuals with inflammatory arthritis require long-term rheumatologist care for optimal outcomes. We sought to determine if socioeconomic status (SES) influences general practitioner (GP) and specialist physician visit frequency and out-of-pocket (OOP) visit costs.

METHODS

We linked data from Australian Rheumatology Association Database (ARAD) participants with rheumatoid arthritis or psoriatic arthritis to the Pharmaceutical Benefits (PBS) and Medicare Benefits Schedule from 2011 to 2018. Small-area SES was approximated as quintiles of the Index of Relative Socioeconomic Advantage and Disadvantage. A comorbidity index (Rx-Risk) was determined from PBS data. Analysis was performed using panel regression methods.

RESULTS

We included 1,916 ARAD participants (76.3% rheumatoid arthritis, 71.1% women, mean ± SD age 54 ± 12 years and disease duration 6 ± 4 years). Participants averaged 9.0 (95% confidence interval [CI] 8.6-9.4) annual GP visits and 3.9 (95% CI 3.8-4.1) annual specialist physician visits. After adjustment for sex, age, education, remoteness, and comorbidity, there was an inverse relationship between annual GP visit frequency and higher SES quintile (-0.6, 95% CI -0.9 to -0.3 visits per quintile) and a direct relationship between more frequent specialist visits and higher SES (linear slope 0.3, 95% CI 0.2-0.5 visits per quintile). Average OOP costs/visit were higher for specialist physician (AUD$38.43; 95% CI 37.34-39.53) versus GP visits (AUD$7.86; 95% CI 7.42-8.31), and higher SES was associated with greater OOP cost.

CONCLUSION

Patients with higher SES have relatively fewer GP visits and more specialist physician visits compared with patients with lower SES, suggesting individuals with lower SES may receive suboptimal specialist physician care. OOP costs may be a contributing factor.

Global trends in the burden of rheumatoid arthritis by sociodemographic index: a joinpoint and age-period-cohort analysis based on the Global Burden of Disease Study 2019

OBJECTIVE

To describe temporal trends in the incidence and disability-adjusted life years (DALYs) of rheumatoid arthritis (RA) across sociodemographic index (SDI) quintiles and sexes from 1990 to 2019.

METHODS

Data on RA incidence and DALYs with a 95% uncertainty interval from 1990 to 2019 were extracted from the Global Burden of Disease 2019. Subsequently, trends across SDI quintiles and sexes from 1990 to 2019 were determined using joinpoint regression and age-period-cohort analyses.

RESULTS

A significant upward trend in the global age-standardised incidence rate (ASIR) of RA was observed for both sexes from 1990 to 2019 (average annual per cent change (AAPC): 0.214, 95% CI 0.179 to 0.249, p<0.001). Specifically, the ASIR of RA for both sexes demonstrated a significant increasing trend at all SDI levels, with the highest AAPC observed in the low SDI regions. A non-significant increasing trend in the global age-standardised DALYs rate (ASDR) of RA was observed for both sexes from 1990 to 2019 (AAPC: 0.017, 95% CI -0.051 to 0.085, p=0.621). Varying trends in ASDR were observed for both sexes and across SDI quintiles. Additionally, diverse age-period-cohort patterns in incidence and DALYs were observed across SDI quintiles and sexes.

CONCLUSION

The significant heterogeneity observed in the temporal trends of the incidence and DALYs of RA across SDI quintiles and sexes suggests potential disparities in the prevention, management and treatment of RA. Therefore, establishment of practical and customised healthcare initiatives for specific populations across SDI quintiles and sexes and allocation of supplementary health resources to high-risk populations are crucial for effective management of RA.

Strengthening the pain care ecosystem to support equitable, person-centered, high-value musculoskeletal pain care

ABSTRACT

Improving health and wellbeing outcomes for people experiencing chronic musculoskeletal pain requires collective efforts across multiple levels of a healthcare ecosystem. System-wide barriers to care equity must however be addressed (eg, lack of co-designed services; overuse of low value care/underuse of high value care; inadequate health workforce; inappropriate funding models; inequitable access to medicines and technologies; inadequate research and innovation). In this narrative review, utilizing a systems' thinking framework, we synthesize novel insights on chronic musculoskeletal pain research contextualized through the lens of this complex, interconnected system, the "pain care ecosystem." We examine the application of systems strengthening research to build capacity across this ecosystem to support equitable person-centred care and healthy ageing across the lifespan. This dynamic ecosystem is characterized by three interconnected levels. At its centre is the person experiencing chronic musculoskeletal pain (micro-level). This level is connected with health services and health workforce operating to co-design and deliver person-centred care (meso-level), underpinned further upstream by contemporary health and social care systems (macro-level context). We provide emerging evidence for how we, and others, are working towards building ecosystem resilience to support quality musculoskeletal pain care: at the macro-level (eg, informing musculoskeletal policy and health strategy priorities); at the meso-level (eg, service co-design across care settings; health workforce capacity); and downstream, at the micro-level (eg, person-centred care). We outline the mechanisms and methodologies utilized and explain the outcomes, insights and impact of this research, supported by real world examples extending from Australian to global settings.

Influencers of Achievement of Remission and Low Disease Activity in Response to Disease-Modifying Antirheumatic Drugs (DMARDs) in Patients With Rheumatoid Arthritis

BACKGROUND

In this prospective cohort study the objective was to identify the socio-demographic and clinical factors that influence treatment response to disease-modifying antirheumatic drugs (DMARDs) at ambulatory multicenter rheumatology outpatient clinics. The subjects were patients with rheumatoid arthritis satisfying the American College of Rheumatology/European Alliance of Associations for Rheumatology criteria with informed consent.

MATERIALS AND METHODS

Pre-coded data sheets were used to capture socio-demographic and clinical characteristics. Baseline data was collected at time of patient recruitment. Only patients who had complete data at three-month follow-up were included in the study analysis. The study's outcome was achievement of remission or low disease activity. The study used the adherence in chronic disease scale and European Task Force for Patient Evaluation of General Practice tools to evaluate patient adherence and assessments of health care received. Data analysis was carried out using Prism 7 and SPSS. Categorical data were regulated as percentages, while continuous data were regulated as means and standard deviation. Prevalence (at 95% CIs) of various socio-demographic and clinical characteristics were calculated comparisons of socio-demographic characteristics, clinical characteristics between patients into achieved primary/secondary outcomes and those who didn't were carried out using the chi-square statistic (for categorical variables) and independent student T-test (for continuous variables). Logistic regression was performed to estimate the impact of moderator variables on study outcomes and to calculate adjusted odds ratio (OR) with corresponding 95% CI. Throughout analysis α < 0.05 was considered statistically significant.

RESULTS

A total of 206 patients were included. The mean age was 51.2 ± 15.1 years; mostly females (n=188 patients, 91.3%). Majority had attained post-primary education (n=172 patients, 83.5%). Only 74 patients (35.9%) had formal professional employment, while only six patients (3%) paid for healthcare via government-funded/private insurance. At recruitment, nearly half of the included patients had moderate to severe disability. Majority of patients had elevated baseline erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP). Most of the patients (90.3%) had a positive rheumatoid factor test at recruitment, while 58% had a positive anti-cyclic citrullinated peptide test. Majority had moderate disease activity. Thirty-three patients were in remission, 9.7% had low disease activity while 12.6% had high disease activity. Majority of patients (94.2%) were on non-steroidal anti-inflammatory drugs, non-biological DMARDs (80.6%) and systemic corticosteroids (54.9%). Mean duration of follow-up was 4.6 months. At follow-up, 37.9% found the system to be acceptable, 63.6% found the system to be problematic. Majority of the patients reported to have been adherent to therapy (high adherence: 7.8%; moderate adherence: 86.9%). The proportion of patients who achieved remission or low disease activity increased significantly at three-month follow-up.

CONCLUSION

 Having shorter disease duration, lower unemployment rates, higher income, lower non-adherence rates, having a positive outlook towards the healthcare system, normal CRP baseline, normal ESR baseline, and lower baseline of functional disability were significantly associated with increased chances of low disease activity/remission.

Initiation of glucocorticoids before entering rheumatology care associates with long-term glucocorticoid use in older adults with early rheumatoid arthritis: A joint analysis of Medicare and the Rheumatology Informatics System for Effectiveness (RISE) data

OBJECTIVE

To assess relationships between the timing of glucocorticoid (GC) initiation, entrance into rheumatology care, and the duration of GC use in older adults with early rheumatoid arthritis (eRA) in the U.S.

METHODS

Data from the Rheumatology Informatics System for Effectiveness (RISE) registry and Medicare (2016-2018) were linked. Patients with ≥2 RA ICD codes in RISE were included; the first being the index date which signaled entrance into rheumatology care. GC initiation (between 3 months before to 6 months after the index date) and continuous GC use up to 12 months after the index date were captured using Medicare claims. Cox proportional hazards models with adjustment for confounders assessed differences in the duration of GC use for patients initiating GCs before versus after the index date. Average daily GC doses were estimated.

RESULTS

1,733 patients (67 % female; mean age 76 ± 6 years) were included. 41 % initiated GCs, on average 16 ± 58 days before entering rheumatologic care. The mean duration of GC use was 157 days (95 %-CI 143 to 170). GC initiation before rheumatologic care was associated with longer GC use, even after adjustment for confounders (hazard ratio 0.61; 95 %-CI [0.51 to 0.74]). For patients using GCs for ≥3 months, average daily GC doses were <5 mg/d prednisone equivalent.

CONCLUSION

GCs are regularly used in eRA and most often initiated before patients enter rheumatology care. Long-term, low-dose GC use is common and associated with initiation before rheumatology care. Earlier referral to rheumatology might reduce GC exposure among U.S. patients with eRA.

Socioeconomic status, reserve capacity, and depressive symptoms predict pain in Rheumatoid Arthritis: an examination of the reserve capacity model

BACKGROUND

Guided by the reserve capacity model, we evaluated the unique relationships between socioeconomic status (SES), reserve capacity (helplessness, self-efficacy, social support), and negative emotions on pain in patients with Rheumatoid Arthritis (RA).

METHODS

The secondary analysis used baseline, cross-sectional data from 106 adults in a clinical trial comparing behavioral treatments for RA. Patients were eligible if they were ≥ 18 years old, met the ACR criteria for RA (determined by study rheumatologist), had stable disease and drug regimens for 3 months, and did not have a significant comorbid condition. Structural equation modeling evaluated the direct effects of SES, reserve capacity (helplessness- Arthritis Helplessness Index, self-efficacy -Personal Mastery Scale, social support- Social Provisions Scale) and negative emotions (stress and depressive symptoms- Perceived Stress Scale and Hamilton Depression Rating Scale) on pain (Rapid Assessment of Disease Activity in Rheumatology-RADAR & visual analog scale-VAS), and the indirect effects of SES as mediated by reserve capacity and negative emotions. The SEM model was evaluated using multiple fit criteria: χ2 goodness-of-fit statistic, the comparative fit index (CFI), the standardized root mean square residual (SRMR), and the root mean square error of approximation (RMSEA).

RESULTS

Participants were mostly female (85%), 55.45 years old on average, self-identified as white (61%), Hispanic (16%), black (13%), and other (10%), and had RA for an average of 10.63 years. Results showed that low SES contributed to worse pain, through lower reserve capacity and higher negative emotions. Mediational analyses showed that reserve capacity and negative emotions partially mediated the effect of SES on pain. The final model explained 39% of the variance in pain.

CONCLUSIONS

The findings indicate that lower SES was related to worse clinical pain outcomes and negative emotions and reserve capacity (helplessness, social support, and self-efficacy) mediated the effect of SES on pain. A primary limitation is the small sample size; future studies should evaluate this model further in larger, longitudinal approaches. Interventions that target negative emotions in patients with low SES may facilitate better pain control with RA.

TRIAL REGISTRATION

clinicaltrials.gov NCT00072657 01/02/2004 20/03/2009.

Inequalities in health care use among patients with arthritis in China: using Andersen's Behavioral Model

BACKGROUND

This study sought to assess socioeconomic-related inequalities in health care use among arthritis patients in China and to analyze factors associated with this disparity.

METHODS

This study used data from the 2018 China Health and Retirement Longitudinal Study. 3255 arthritis patients were included. The annual per capita household expenditure was used to divide individuals into five categories. We calculated actual, need-predicted, and need-standardized distributions of health care use by socioeconomic groups among people with arthritis. The concentration index (Cl) was used to assess inequalities in health service use. Influencing factors of inequalities were measured with the decomposition method.

RESULTS

The outpatient and inpatient service use rates among 3255 arthritis patients were 23.13% and 21.41%, respectively. The CIs for actual outpatient and inpatient services use were 0.0449 and 0.0985, respectively. The standardized CIs for both outpatient and inpatient services use increase (CI for outpatient services use = 0.0537; CI for inpatient services use = 0.1260), indicating the emergence of a significant pro-rich inequity. Annual per capita household expenditure was the chief positive contributor to inequity for both outpatient (104.45%) and inpatient services use (105.74%), followed by infrequently social interaction (22.60% for outpatient services use) and Urban Employee Basic Medical Insurance (UEBMI) (11.90% for inpatient services use). By contrast, UEBMI also provided a high negative contribution to outpatient services use (-15.99%).

CONCLUSIONS

There are significant pro-rich inequalities in outpatient and inpatient services use among patients with arthritis, which are exacerbated by widening economic gaps. Interventions to address inequalities should start by improving the economic situation of lower socioeconomic households.

Classifying Individuals With Rheumatic Conditions as Financially Insecure Using Electronic Health Record Data and Natural Language Processing: Algorithm Derivation and Validation

OBJECTIVE

We aimed to examine the feasibility of applying natural language processing (NLP) to unstructured electronic health record (EHR) documents to detect the presence of financial insecurity among patients with rheumatologic disease enrolled in an integrated care management program (iCMP).

METHODS

We incorporated supervised, rule-based NLP and statistical methods to identify financial insecurity among patients with rheumatic conditions enrolled in an iCMP (n = 20,395) in a multihospital EHR system. We constructed a lexicon for financial insecurity using data from available knowledge sources and then reviewed EHR notes from 538 randomly selected individuals (training cohort n = 366, validation cohort n = 172). We manually categorized records as having "definite," "possible," or "no" mention of financial insecurity. All available notes were processed using Narrative Information Linear Extraction, a rule-based version of NLP. Models were trained using the NLP features for financial insecurity using logistic, least absolute shrinkage operator (LASSO), and random forest performance characteristic and were compared with the reference standard.

RESULTS

A total of 245,142 notes were processed from 538 individual patient records. Financial insecurity was present among 100 (27%) individuals in the training cohort and 63 (37%) in the validation cohort. The LASSO and random forest models performed identically and slightly better than logistic regression, with positive predictive values of 0.90, sensitivities of 0.29, and specificities of 0.98.

CONCLUSION

The development of a context-driven lexicon used with rule-based NLP to extract data that identify financial insecurity is feasible for use and improved the capture for presence of financial insecurity with high accuracy. In the absence of a standard lexicon and construct definition for financial insecurity status, additional studies are needed to optimize the sensitivity of algorithms to categorize financial insecurity with construct validity.

What role do socioeconomic and clinical factors play in disease activity states in rheumatoid arthritis? Data from a large UK early inflammatory arthritis audit

BACKGROUND

Persistently active rheumatoid arthritis (pactiveRA) may be due to the interplay between biological and non-biological factors. The role of socioeconomic factors remains unclear.

OBJECTIVES

To explore which biological and non-biological factors associate with pactiveRA.

METHODS

Adults with early RA in the National Early Inflammatory Arthritis Audit, recruited from May 2018 to October 2022, were included if having pactiveRA or persistently low RA (plowRA). The pactiveRA was defined as three consecutive Disease Activity Score-28 joints (DAS28) of >3.2 at baseline, 3 and 12 months. The plowRA was defined as DAS28 ≤3.2 at 3 and 12 months. Stepwise forward logistic regression was used to explore associations with pactiveRA (outcome). Age and gender were included a priori, with socioeconomic factors and comorbidities as exposure variables.

RESULTS

682 patients with pactiveRA and 1026 plowRA were included. Compared with plowRA, patients with pactiveRA were younger (58, IQR: 49-67) versus (62, IQR: 52-72), and included more women (69% vs 59%). The pactiveRA was associated with worse scores in patient-reported outcomes at baseline, and anxiety and depression screens. Overall, there was clear social patterning in pactiveRA, with age-by-gender interaction. Logistic regression indicated age, gender, social deprivation and previous or current smoking, were independently associated with pactiveRA, after controlling for disease severity markers (seropositivity). Depression, lung disease, gastric ulcers and baseline corticosteroid use, were also associated with pactiveRA (p<0.05 for all).

CONCLUSION

Socioeconomic factors and deprivation were associated with pactiveRA, independent of clinical and disease characteristics. Identifying 'adverse' socioeconomic drivers of pactiveRA can help tailor interventions according to individual need.

Therapeutic potential and recent progression of BTK inhibitors against rheumatoid arthritis

Rheumatoid arthritis (RA) is a complex chronic inflammatory illness that affects the entire physiology of human body. It has become one of the top causes of disability worldwide. The development and progression of RA involves a complex interplay between an individual's genetic background and various environmental factors. In order to effectively manage RA, a multidisciplinary approach is required, as this disease is complicated and its pathophysiological mechanism is not fully understood yet. In majority of arthritis patients, the presence of abnormal B cells and autoantibodies, primarily anti-citrullinated peptide antibodies and rheumatoid factor affects the progression of RA. Therefore, drugs targeting B cells have now become a hot topic in the treatment of RA which is quite evident from the recent trends seen in the discovery of various B cell receptors (BCRs) targeting agents. Bruton's tyrosine kinase (BTK) is one of these recent targets which play a role in the upstream phase of BCR signalling. BTK is an important enzyme that regulates the survival, proliferation, activation and differentiation of B-lineage cells by preventing BCR activation, FC-receptor signalling and osteoclast development. Several BTK inhibitors have been found to be effective against RA during the in vitro and in vivo studies conducted using diverse animal models. This review focuses on BTK inhibition mechanism and its possible impact on immune-mediated disease, along with the types of RA currently being investigated, preclinical and clinical studies and future prospective.

Factors associated with incident cardiovascular disease in patients with rheumatoid arthritis: A scoping review

INTRODUCTION

Rheumatoid arthritis (RA) is the most common form of autoimmune inflammatory arthritis and is associated with various comorbidities including cardiovascular disease (CVD). This scoping review summarizes the current evidence on longitudinal cohort studies assessing potential factors associated with the incidence of cardiovascular events among patients with RA.

METHODS

Scopus, PubMed, Ovid MEDLINE and Cochrane databases were used to identify longitudinal cohort studies investigating the incidence of CVD among RA patients. Using predetermined inclusion and exclusion criteria, two reviewers screened and extracted the relevant studies independently to map the existing literature on this topic. The extracted data included study characteristics, demographics, comorbidities, behavioural and RA-related factors.

RESULTS

Thirty-three research papers were included with a mean follow-up duration of 7.8 years. The sample size of the studies ranged from 182 to 4,311,022 subjects, the mean age from 46.1 to 72.3 years, and on average, 34.6% of the participants were male. The following factors were reported to be associated with a higher incidence of CVD in RA patients: older age, male sex, co-morbid hypertension, diabetes, and/or dyslipidemia, the presence of rheumatoid factor (RF) and/or acute phase reactants. Among RA treatments, glucocorticoids were shown to increase CVD incidence while DMARDs, especially methotrexate, were associated with a lower incidence of CVD.

CONCLUSION

This review offers a comprehensive summary of the current literature reporting on risk factors for CVD incidence among RA patients. Future research should focus on the less studied factors, including socioeconomic status, physical inactivity, alcohol consumption, sleep habits and dietary patterns as well as some RA-related factors such as anti-citrullinated protein antibodies and functional impairment.

Understanding the psychosocial determinants of effective disease management in rheumatoid arthritis to prevent persistently active disease: a qualitative study

BACKGROUND

According to epidemiological studies, psychosocial factors are known to be associated with disease activity, physical activity, pain, functioning, treatment help-seeking, treatment waiting times and mortality in people with rheumatoid arthritis (RA). Limited qualitative inquiry into the psychosocial factors that add to RA disease burden and potential synergistic interactions with biological parameters makes it difficult to understand patients' perspectives from the existing literature.

AIM

This study aimed to gather in-depth patient perspectives on psychosocial determinants that drive persistently active disease in RA, to help guide optimal patient care.

METHODS

Patient research partners collaborated on the research design and materials. Semistructured interviews and focus groups were conducted online (in 2021) with patients purposively sampled from diverse ethnicities, primary languages, employment status and occupations. Data were analysed using inductive thematic analysis.

RESULTS

45 patients participated across 28 semistructured interviews and three focus groups. Six main themes on psychosocial determinants that may impact RA management were identified: (1) healthcare systems experiences, (2) patient education and health literacy, (3) employment and working conditions, (4) social and familial support, (5) socioeconomic (dis)advantages, and (6) life experiences and well-being practices.

CONCLUSION

This study emphasises the importance of clinicians working closely with patients and taking a holistic approach to care that incorporates psychosocial factors into assessments, treatment plans and resources. There is an unmet need to understand the relationships between interconnected biopsychosocial factors, and how these may impact on RA management.

Remission definitions guiding immunosuppressive therapy in rheumatoid arthritis: which is best fitted for the purpose?

OBJECTIVE

To assess which definition of remission best predicts good radiographic outcome (GRO) and good functional outcome (GFO) in rheumatoid arthritis, focusing the updated American College of Rheumatology/European Alliance of Associations for Rheumatology criteria.

MATERIAL AND METHODS

Meta-analyses of individual patient data (IPD) from randomised controlled trials (RCTs). Six definitions of remission were considered: (1) Boolean with Patient Global Assessment (PGA)≤1 (Boolean); (2) Simplified Disease Activity Index (SDAI)≤3.3; (3) Clinical Disease Activity Index (CDAI)≤2.8; (4) Boolean with PGA≤2 (Updated-Boolean); (5) Boolean with Physician Global Assessment (PhGA≤1) replacing PGA (Boolean-PhGA) and (6) Boolean excluding PGA (3VBoolean). GRO was defined as a worsening ≤0.5 units in radiographic score and GFO as a no worsening in Health Assessment Questionnaire (HAQ), that is, ∆HAQ-DI≤0.0 units. Relationships between each remission definition at 6 and/or 12 months and GRO and GFO during the second year were analysed. Pooled probabilities for each outcome for each definition and their predictive accuracy were estimated.

RESULTS

IPD from eight RCTs (n=4423) were analysed. Boolean, SDAI, CDAI, Updated-Boolean, Boolean-PhGA and 3VBoolean were achieved by 24%, 27%, 28%, 32%, 33% and 43% of all patients, respectively. GRO among patients achieving remission ranged from 82.4% (3VBoolean) to 83.9% (SDAI). 3VBoolean showed the highest predictive accuracy for GRO: 51.1% versus 38.8% (Boolean) and 44.1% (Updated-Boolean). The relative risk of GFO ranged from 1.16 (Boolean) to 1.05 (3VBoolean). However, the proportion of GFO correctly predicted was highest for the 3VBoolean (50.3%) and lowest for the Boolean (43.8%).

CONCLUSION

3VBoolean definition provided the most accurate prediction of GRO and GFO, avoiding the risk of overtreatment in a substantial proportion of patients without increment in radiographic damage progression, supporting the proposal that 3VBoolean remission is preferable to guide immunosuppressive treatment. The patient's perspective, which must remain central, is best served by an additional patient-oriented target: a dual-target approach.

Disparities in burden of disease in patients with rheumatoid arthritis across racial and ethnic groups

To examine racial/ethnic differences in rheumatoid arthritis (RA) disease burden and change in clinical outcomes over time. We included CorEvitas Rheumatoid Arthritis Registry patients from two time periods (2013-2015 and 2018-2020). Clinical Disease Activity Index (CDAI) (as a continuous measure and as a dichotomous measure) and the Health Assessment Questionnaire-Disability Index (HAQ-DI) were assessed at each visit. Marginal means and their corresponding 95% confidence interval (CI) by race/ethnicity were estimated for each outcome using adjusted mixed effects linear and logistic regression models. Overall and pairwise tests were conducted to detect differences between race/ethnicity groups. Of 9,363 eligible patients (8,142 White, 527 Black, 545 Hispanic, 149 Asian), most (76%-85%) were female. At Visit 1, the mean disease duration ranged from 9.8-11.8 years. Estimated CDAI was significantly higher for Hispanics compared to Whites at Visit 1 (11.1 vs. 9.9; pairwise P = 0.033) and Visit 2 (9.2 vs. 8.0, pairwise P = 0.005). Disease activity improved over the 5-year study period among all race/ethnicity groups, though Hispanics improved less than Whites. Disease activity improved over the 5-year period across all racial/ethnicity groups, and disparities between racial/ethnicity groups in disease activity and functional status did persist over time, suggesting that further effort is needed to understand the drivers of these discrepancies to close this race/ethnicity gap. Key Points • Disease activity improved over the 5-year period across all racial and ethnic groups. • Disparities between racial and ethnic groups in disease activity and functional status did persist over time, suggesting that further effort is needed to understand the drivers of these discrepancies and close this racial gap.

Social determinants of health in patients with arthritis: a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System

CONTEXT

Social determinants of health (SDOH) are economic, social, and political conditions that affect a person's overall health or the health of a group of people. Researchers have investigated the effects of SDOH on various diseases, such as asthma, obesity, and chronic stress, but few publications have been made regarding its effects on arthritis.

OBJECTIVES

Our primary objective was to analyze the implications of SDOH on disease severity relating to pain levels and limitations experienced among people with diagnosed arthritis.

METHODS

We performed a cross-sectional analysis of the 2017 Behavioral Risk Factor Surveillance System (BRFSS). We included individuals who reported having arthritis, were over the age of 45, and who also completed the SDOH module. Pain scores from the four-question Arthritis Burden Module were correlated to question responses pertaining to SDOH to determine their associations.

RESULTS

For the analysis, our sample size was 25,682, with response rates varying slightly among the SDOH questions. Individuals diagnosed with arthritis were more likely to report functional limitations if they experienced food insecurity (χ2=234.0, p<0.001), financial instability (χ2=149.7, p<0.001), or frequent stress (χ2=297.6, p<0.001). Further, we found that individuals with arthritis experiencing any domain of SDOH reported higher mean pain scores than those not experiencing that domain, with the highest pain score difference among those reporting frequent stress (Coefficient: 1.93, CI=1.74-2.13, t=19.43, p<0.001).

CONCLUSIONS

Our results show that SDOH profoundly impact pain levels and limitations experienced by patients with arthritis. Although work has already begun to help alleviate burdens associated with SDOH, more research and actions are required to create equitable health throughout the population.

Cross-sectional association between social and demographic factors and disease activity in rheumatoid arthritis

BACKGROUND

This study aimed to assess the association between social factors, demographic parameters, and disease activity among rheumatoid arthritis (RA) patients.

METHODS

The University of Pittsburgh Rheumatoid Arthritis Comparative Effectiveness Research (RACER) registry was used for this study and included patients meeting 1987 ACR criteria for RA enrolled between 2010-2015. The registry collected clinical and laboratory data at each visit, permitting the calculation of disease activity measures that included Disease Activity 28-C Reactive Protein (DAS28-CRP). The current study was conducted as a cross-sectional study in which baseline data were used to construct multiple logistic regression models assessing the relationship between disease activity measures (DAS28-CRP), functional capacity (health assessment questionnaire (HAQ)), selected demographic and social factors (occupation, education, income, marital status, race, gender, age, and BMI), and clinical/laboratory variables.

RESULTS

The analyses included 729 patients with baseline DAS28-CRP and social/demographic data. The mean age at enrollment was 59.5 (Standard Deviation (SD) = 12.7) years, 78% were female, and the median RA disease duration was 9.8 (Interquartile Range (IQR): 3.7, 19.1) years. We dichotomized the DAS28-CRP score and defined scores above or below 3.1 as high versus low RA disease activity. Most patients with high RA disease activity (N = 326, 45%) had less than a college degree (70%), were not working/retired/disabled (71%), and had an annual income under $50 K (55%). We found that higher body mass index (BMI) (Odds Ratio (OR) = 1.04, 95% CI: 1.01-1.08), longer disease duration (> 2 and < 10 years versus ≤ 2 years of disease) (OR = 0.45, 95% CI: 0.25-0.78), and being retired (OR = 1.74, 95% CI: 1.02-2.98) were associated with RA disease activity.

CONCLUSION

Increased RA activity may be associated with various social factors, potentially leading to more severe and debilitating disease outcomes. These findings provide evidence to support efforts to monitor disparities and achieve health equity in RA.

Social Determinants of Health Documentation Among Individuals With Rheumatic and Musculoskeletal Conditions in an Integrated Care Management Program

OBJECTIVE

Social determinants of health (SDoH), such as poverty, are associated with increased burden and severity of rheumatic and musculoskeletal diseases. This study was undertaken to study the prevalence and documentation of SDoH-related needs in electronic health records (EHRs) of individuals with these conditions.

METHODS

We randomly selected individuals with ≥1 International Classification of Diseases, Ninth/Tenth Revision (ICD-9/10) code for a rheumatic/musculoskeletal condition enrolled in a multihospital integrated care management program that coordinates care for medically and/or psychosocially complex individuals. We assessed SDoH documentation using terms for financial needs, food insecurity, housing instability, transportation, and medication access according to EHR note review and ICD-10 SDoH billing codes (Z codes). We used multivariable logistic regression to examine associations between demographic factors (age, gender, race, ethnicity, insurance) and ≥1 (versus 0) SDoH need as the odds ratio (OR) with 95% confidence interval (95% CI).

RESULTS

Among 558 individuals with rheumatic/musculoskeletal conditions, 249 (45%) had ≥1 SDoH need documented in EHR notes by social workers, care coordinators, nurses, and physicians. A total of 171 individuals (31%) had financial insecurity, 105 (19%) had transportation needs, 94 (17%) had food insecurity; 5% had ≥1 related Z code. In the multivariable model, the odds of having ≥1 SDoH need was 2.45 times higher (95% CI 1.17-5.11) for Black versus White individuals and significantly higher for Medicaid or Medicare beneficiaries versus commercially insured individuals.

CONCLUSION

Nearly half of this sample of complex care management patients with rheumatic/musculoskeletal conditions had SDoH documented within EHR notes; financial insecurity was the most prevalent. Only 5% of patients had representative billing codes suggesting that systematic strategies to extract SDoH from notes are needed.

Geospatial analysis of the hospitalisation rate of patients with rheumatoid arthritis in Hunan: a cross-sectional Chinese study

OBJECTIVE

Little is known about spatial variability of hospitalisation rate (HR) of patients with rheumatoid arthritis (RA) worldwide, especially in China.

METHODS

A cross-sectional study was conducted among patients with RA admitted to hospitals in Hunan Province. Global Moran's I and local indicators of spatial association were used to explore the geospatial pattern of the HR of patients with RA. Generalised estimating equation analysis and geographically weighted regression were used to identify the potential influencing factors of the HR of patients with RA.

RESULTS

There were a total of 11 599 admissions, and the average HR was 1.57 per 10 000 population in Hunan. We detected different cluster patterns of the HR among patients with RA by local indicators of spatial association. Age, ethnicity, average temperature, average temperature range, average rainfall, regions, gross domestic product per capita, and doctors and hospitals per 10 000 people were risk factors for the HR. However, only average temperature, gross domestic product per capita and hospitals per 10 000 people showed different regression coefficients on the HR in different counties. The increase in hospitals increased the probability of HR from east to west in Hunan with a positive coefficient, while temperature decreases increased the risk of HR from south to north negatively. Similarly, the growth of gross domestic product per capita decreased the probability of HR from southwest to northeast.

CONCLUSION

A non-random spatial distribution of the HR of patients with RA was demonstrated in Hunan, and average temperature, gross domestic product per capita and hospitals per 10 000 people showed different regression coefficients on the HR in different counties. Our study indicated that spatial and geostatistics may be useful approaches for further study among patients with RA.

The Associations of Chronotype and Shift Work With Rheumatoid Arthritis

The circadian clock regulates multiple aspects of human physiology including immunity. People have a circadian preference termed chronotype. Those with an evening preference may be better suited to shift work, but also carry higher risk of adverse health. Shift work leads to misalignment of circadian rhythms and is associated with increased risk of inflammatory disease such as asthma and cancer. Here, we investigate the association between chronotype, shift work, and rheumatoid arthritis (RA). The associations between exposures of shift work and chronotype on risk of RA were studied in up to 444,210 U.K. Biobank participants. Multivariable logistic regression models were adjusted for covariates: age, sex, ethnicity, alcohol intake, smoking history, Townsend Deprivation Index (TDI), sleep duration, length of working week, and body mass index (BMI). After adjusting for covariates, individuals with a morning chronotype had lower odds of having rheumatoid arthritis (RA; odds ratio [OR]: 0.93, 95% confidence interval [CI]: 0.88-0.99) when compared to intermediate chronotypes. The association between morning chronotype and RA persisted with a more stringent RA case definition (covariate-adjusted OR: 0.89, 95% CI: 0.81-0.97). When adjusted for age, sex, ethnicity, and TDI, shift workers had higher odds of RA (OR: 1.22, 95% CI: 1.1-1.36) compared to day workers that attenuated to the null after further covariate adjustment (OR: 1.1, 95% CI: 0.98-1.22). Morning chronotypes working permanent night shifts had significantly higher odds of RA compared to day workers (OR: 1.89, 95% CI: 1.19-2.99). These data point to a role for circadian rhythms in RA pathogenesis. Further studies are required to determine the mechanisms underlying this association and understand the potential impact of shift work on chronic inflammatory disease and its mediating factors.

Racial and Ethnic Disparities in Treatment Initiation Among Patients with Newly Diagnosed Psoriatic Arthritis: A Retrospective Medicaid Claims Database Study

INTRODUCTION

In patients with psoriatic arthritis (PsA), potential differences in care by race/ethnicity have not been well studied.

METHODS

This retrospective, observational cohort analysis utilized the IBM MarketScan® Multi-State Medicaid database. Patients aged ≥ 18 years with two or more PsA-related claims between January 1, 2010 and December 31, 2019, and ≥ 12 months of continuous enrollment before the first diagnosis of PsA (index date) were included. Outcomes evaluated were the use of disease-modifying antirheumatic drugs (DMARDs) overall and by type (conventional synthetic, biologic, targeted synthetic) within 12 months following initial PsA diagnosis, as well as the time to DMARD initiation after initial PsA diagnosis, stratified by race/ethnicity. Multivariate Cox proportional hazards models were used to assess potential associations between patient baseline characteristics and time to DMARD initiation.

RESULTS

Among patients with newly diagnosed PsA (N = 3432), the mean age was 44.4 years, 69.9% were female, 77.4% were White, and 10.1% were Black. Of the 2993 patients with at least 12 months of follow-up, fewer Black patients received any DMARD therapy compared with White patients (68.4 vs. 76.4%, respectively, p = 0.002), and, specifically, a lower percentage of Black patients received biologic DMARDs compared with White patients (33.6 vs. 42.6%, respectively, p = 0.003). After adjusting for baseline characteristics, Black patients had significantly longer time to initiation of any DMARD (HR [95% CI] 0.82 [0.71-0.94]) and biologic DMARD (0.84 [0.71-0.99]) compared with White patients. Other baseline variables such as older age, anxiety, and hepatitis C were also significantly associated with longer time to any DMARD initiation after initial PsA diagnosis.

CONCLUSIONS

Time to treatment initiation was significantly longer in Black patients compared with White patients with newly diagnosed PsA. These findings suggest care delivery disparities in patients with PsA and highlight the need for future studies to understand factors that drive the observed differences in drug therapy by race/ethnicity.

Racial/ethnic disparities in the risk of preterm birth among women with systemic lupus erythematosus or rheumatoid arthritis

OBJECTIVE

In a large multi-racial/ethnic cohort of women, we examined racial/ethnic disparities in preterm birth (PTB) risk stratified by autoimmune rheumatic disease (ARD) type, which included systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA).

METHODS

Birth records linked to hospital discharge data of singleton births in California from 2007 to 2012 were leveraged for a retrospective cohort study including women with SLE or RA. The relative risk of PTB (< 37 versus ≥ 37 weeks' gestation) was compared among different racial/ethnic groups (Asian, Hispanic, Non-Hispanic (NH) Black, and NH White) and stratified by ARD type. Results were adjusted for relevant covariates using Poisson regression.

RESULTS

We identified 2874 women with SLE and 2309 women with RA. NH Black, Hispanic, and Asian women with SLE were 1.3 to 1.5 times more likely to have PTB compared to NH White women. NH Black women with RA were 2.0 to 2.4 times more likely to have PTB compared to Asian, Hispanic, or NH White women. The NH Black-NH White and NH Black-Hispanic disparity in PTB risk was significantly higher in women with RA compared to SLE or the general population.

CONCLUSION

Our findings highlight the racial/ethnic disparities for risk of PTB among women with SLE or RA and highlight that several of the disparities are higher for women with RA compared to those with SLE or the general population. These data may provide important public health information for addressing racial/ethnic disparities in the risk of preterm birth, particularly among women with RA. Key Points • There is an unmet need for studies that evaluate racial/ethnic disparities in birth outcomes specifically in women with RA or SLE. • This is one of the first studies describing racial/ethnic disparities in PTB risk for women with RA, and to draw conclusions regarding Asian women in the USA with rheumatic diseases and PTB. • These data provide important public health information for addressing racial/ethnic disparities in the risk of preterm birth among women with autoimmune rheumatic diseases.

Associations of Cost Sharing With Rheumatoid Arthritis Disease Burden

OBJECTIVE

To evaluate the regional variation of cost sharing and associations with rheumatoid arthritis (RA) disease burden in the US.

METHODS

Patients with RA from rheumatology practices in Northeast, South, and West US regions were evaluated. Sociodemographics, RA disease status, and comorbidities were collected, and Rheumatic Disease Comorbidity Index (RDCI) score was calculated. Primary insurance types and copay for office visits (OVs) and medications were documented. Univariable pairwise differences between regions were conducted, and multivariable regression models were estimated to evaluate associations of RDCI with insurance, geographical region, and race.

RESULTS

In a cohort of 402 predominantly female, White patients with RA, most received government versus private sponsored primary insurance (40% vs. 27.9%). Disease activity and RDCI were highest for patients in the South region, where copays for OVs were more frequently more than $25. Copays for OVs and medications were less than $10 in 45% and 31.8% of observations, respectively, and more prevalent in the Northeast and West patient subsets than in the South subset. Overall, RDCI score was significantly higher for OV copays less than $10 as well as for medication copays less than $25, both independent of region or race. Additionally, RDCI was significantly lower for privately insured than Medicare individuals (RDCI -0.78, 95% CI [-0.41 to -1.15], P < 0.001) and Medicaid (RDCI -0.83, 95% CI [-0.13 to -1.54], P = 0.020), independent of region and race.

CONCLUSION

Cost sharing may not facilitate optimum care for patients with RA, especially in the Southern regions. More support may be required of government insurance plans to accommodate patients with RA with a high disease burden.

Is the relationship between deprivation and outcomes in rheumatoid arthritis mediated by body mass index? A longitudinal cohort study

OBJECTIVES

To understand the relationships between deprivation and obesity with self-reported disability and disease activity in people with RA, and to determine whether BMI mediates the relationship between area-level deprivation and these outcomes.

METHODS

Data came from the Rheumatoid Arthritis Medication Study (RAMS), a 1-year multicentre prospective observational cohort of people with RA recruited from rheumatology centres across England commencing MTX for the first time. A total of 1529 and 1626 people were included who had a baseline and at least one follow-up measurement at 6 or 12 months of HAQ-Disability Index (HAQ-DI) and DAS in 28 joints (DAS28), respectively. Linear mixed models estimated the associations of deprivation and obesity with repeated measures HAQ-DI and DAS28. Causal mediation analyses estimated the mediating effect of BMI on the relationship between deprivation and RA outcomes.

RESULTS

Higher deprivation and obesity were associated with higher disability [adjusted regression coefficients highest vs lowest deprivation fifths 0.32 (95% CI 0.19, 0.45); obesity vs no obesity 0.13 (95% CI 0.06, 0.20)] and higher disease activity [adjusted regression coefficients highest vs lowest deprivation fifths 0.34 (95% CI 0.11, 0.58); obesity vs no obesity 0.17 (95% CI 0.04, 0.31)]. BMI mediated part of the association between higher deprivation and self-reported disability (14.24%) and DAS (17.26%).

CONCLUSIONS

People with RA living in deprived areas have a higher burden of disease, which is partly mediated through obesity. Weight-loss strategies in RA could be better targeted towards those living in deprived areas.

The Neighborhood Atlas Area Deprivation Index For Measuring Socioeconomic Status: An Overemphasis On Home Value

The Area Deprivation Index (ADI), popularized by the Neighborhood Atlas, is a multifaceted proxy measure for assessing socioeconomic disadvantage that captures social risk factors that are not available in typical clinical registries and that are related to adverse health outcomes. In applying the ADI to New York State, we found that the downstate regions (New York City and its suburbs) were as deprived as or more deprived than the other regions for thirteen of the seventeen ADI variables (all but the ones measured in dollars), but the Neighborhood Atlas-computed overall ADI deprivation was much less in the downstate areas. Numerous census block groups with high home values (indicating low deprivation) accompanied by high deprivation in the other ADI variables had overall ADI scores as computed by the Neighborhood Atlas in the same or contiguous deciles as the home values. We concluded that Neighborhood Atlas-computed ADI scores for New York block groups are mainly representative of median home value. This can be especially problematic when considering quality assessment, funding, and resource allocation in regions with large variations in cost of living, and it may result in underresourcing for disadvantaged communities with high housing prices. We conclude that the Neighborhood Atlas ADI would be more accurate for comparing block groups if variables were standardized before computing the overall index.

Health inequalities and social determinants of health: The role of syndemics in rheumatic disease

A syndemic is the co-existence of two or more health problems (including both social and biological features) that adversely influence each other with negative consequences on disease outcomes and perpetuation of inequalities. The syndemic approach can be applied to better understand the course of rheumatic musculoskeletal diseases (RMD) involving the study of adverse biological pathways and social determinants of health (SDH) all under the same framework. Identifying if a syndemic exists within RMDs may include investigating the synergic interactions between comorbidity (e.g., diabetes, obesity, chronic kidney diseases) and the concomitant of other adverse conditions (e.g., drug non-adherence, substance abuse), along with SDHs such as low household income, unemployment, low education, limited access to health care, as well as racial/ethnic discrimination. For decades, the understanding of RMDs progression has been based on causality, rather than investigating the kaleidoscopic web of connections that can potentially influence a disease course. The co-existence of health burdens in vulnerable populations, including those with RMD, specifically in certain socioeconomic groups, calls for new ways and strategies of thinking to improve our understanding of risk factors and co-morbidities to offer tailored interventions for clinical medicine and public health policy.

Socioeconomic Status, Reserve Capacity, and Depressive Symptoms Predict Pain in Rheumatoid Arthritis: An Examination of the Reserve Capacity Model

Background

Guided by the reserve capacity model, we examined the roles of socioeconomic status (SES), reserve capacity, and negative emotions as determinants of pain in patients with Rheumatoid Arthritis (RA).

Methods

The study used cross-sectional baseline data from 106 adults in a clinical trial comparing behavioral treatments for RA. Structural equation modeling evaluated the direct effects of SES, reserve capacity (helplessness, self-efficacy, social support) and negative emotions (stress and depressive symptoms) on pain, and the indirect effects of SES as mediated by reserve capacity and negative emotions.

Results

Results showed that low SES contributed to greater pain, through lower reserve capacity and higher negative emotions. Mediational analyses showed that reserve capacity and negative emotions partially mediated the effect of SES on pain.

Conclusions

The findings indicate that interventions that target negative emotions in patients with low SES may facilitate better pain control with RA.

Trial registration

clinicaltrials.gov NCT00072657; 02/2004.

Prevalence of fatigue functional and social impairment among patients with rheumatic diseases compared to patients without: A cross-sectional comparison

Rheumatic diseases (RD) are chronic diseases that significantly affect the lives of patients. Assessing health outcomes through a patient-reported outcome measurement information system (PROMIS) is essential for RD management. Moreover, these tend to be less favorable among individuals than among the rest of the population. This study aimed to compare PROMIS between RD patients and other patients. This cross sectional study was conducted in the year 2021. Information about patients with RD was obtained from the RD registry at King Saud University Medical City. Patients without RD were recruited from family medicine clinics. Patients were contacted electronically through WhatsApp© to complete the PROMIS surveys. We compared the individual PROMIS scores between the 2 groups using linear regression, adjusting for sex, nationality, marital status, education level, employment, family history of RD, income, and chronic comorbidities. There were 1024 individuals (512 with RD and 512 without RD). The most common RD was systemic lupus erythematosus (51.6%), followed by rheumatoid arthritis (44.3%). Individuals with RD reported significantly higher PROMIS T-scores for pain [β = 6.2; 95% confidence interval (CI) = 4.76, 7.71] and fatigue (β = 2.9; 95% CI = 1.37, 4.38) compared to those without RD. Moreover, RD individuals reported lower physical functioning (β = -5.4; 95% CI = -6.50, -4.24) and social interaction (β = -4.5; 95% CI = -5.73, -3.20). Patients with RD in Saudi Arabia, particularly those with systemic lupus erythematosus and rheumatoid arthritis, have significantly greater impairment in physical functioning and social interaction and report higher levels of fatigue and pain. Addressing and ameliorating these negative outcomes is necessary to improve quality of life.

Development of a Natural Language Processing System for Extracting Rheumatoid Arthritis Outcomes From Clinical Notes Using the National Rheumatology Informatics System for Effectiveness Registry

OBJECTIVE

To accelerate the use of outcome measures in rheumatology, we developed and evaluated a natural language processing (NLP) pipeline for extracting these measures from free-text outpatient rheumatology notes within the American College of Rheumatology's Rheumatology Informatics System for Effectiveness (RISE) registry.

METHODS

We included all patients in RISE (2015-2018). The NLP pipeline extracted scores corresponding to 8 measures of rheumatoid arthritis (RA) disease activity (DA) and functional status (FS) documented in outpatient rheumatology notes. Score extraction performance was evaluated by chart review, and we assessed agreement with scores documented in structured data. We conducted an external validation of our NLP pipeline using data from rheumatology notes from an academic medical center that is not included in the RISE registry.

RESULTS

We processed over 34 million notes from 854,628 patients, 158 practices, and 24 electronic health record (EHR) systems from RISE. Manual chart review revealed a sensitivity, positive predictive value (PPV), and F1 score of 95%, 87%, and 91%, respectively. Substantial agreement was observed between scores extracted from RISE notes and scores derived from structured data (κ = 0.43-0.68 among DA and 0.86-0.98 among FS measures). In the external validation, we found a sensitivity, PPV, and F1 score of 92%, 69%, and 79%, respectively.

CONCLUSION

We developed an NLP pipeline to extract RA outcome measures from a national registry of notes from multiple EHR systems and found it to have good internal and external validity. This pipeline can facilitate measurement of clinical- and patient-reported outcomes for use in research and quality measurement.

Socioeconomic Status and Medication Use in Rheumatoid Arthritis: A Scoping Review

OBJECTIVE

Socioeconomic status (SES) influences disease outcomes in rheumatoid arthritis (RA) patients. Differences in medication use may partly explain this association. A scoping review was used to identify research conducted on this topic and determine what knowledge gaps remain.

METHODS

Medline, Embase, and PsychInfo were searched from their inception until February 2022 for studies that assessed SES and medication use as an outcome variable. Data was extracted on the use of specific SES measures, medication use, and whether differences in SES variables were associated with differences in medication use.

RESULTS

We identified 2,103 studies, of which 81 were selected for inclusion. Included studies originated most frequently from the US (42%); the mean ± SD age of participants was 55.9 ± 6.8 years, and most were female (75%). Studies measured a median of 4 SES variables (interquartile range 3-6), with educational, area-level SES, and income being the most frequent measurements used. Patients' race and/or ethnicity were documented by 34 studies. Studies primarily assessed the likelihood of prescription of disease-modifying antirheumatic drugs or dispensation, medication adherence, or treatment delays. A majority of studies documented at least 1 SES measure associated with a difference in medication use.

CONCLUSION

There is some evidence that SES affects use of medications in patients with RA; however, multiple definitions of SES have been utilized, making comparisons between studies difficult. Prospective studies with consistently defined SES will be needed to determine whether differences in medication use accounts for the poorer outcomes experienced by patients of lower SES.

Association Between Neighborhood Deprivation and Number of Rheumatology Providers

OBJECTIVE

Geographic disparities in the distribution and practice patterns of rheumatology providers may negatively impact patients with rheumatic diseases. The objective of this study was to describe the distribution of rheumatologists with respect to the Area Deprivation Index (ADI) and to identify differences in practice patterns among Medicare Part D rheumatologist prescribers.

METHODS

We identified 5,882 rheumatologists who served a mean ± SD of 280 ± 208 Medicare Part D beneficiaries per year. In a Poisson regression model of the number of rheumatologists and the ADI of their practice location, for every increase of 10 on the ADI scale (range 0-100; higher = higher deprivation), there were 20.3% fewer rheumatologists (P < 0.001), resulting in 2.1 times as many rheumatologists per 100,000 people in the first ADI quintile when compared to the fifth ADI quintile.

RESULTS

The number of rheumatologists peaked in 2016 and decreased steadily thereafter across all quintiles. The prescribing rate per 100 beneficiaries was significantly different between quintiles across all studied drug classes except for opioids, but the trends were inconsistent and of unclear clinical significance.

CONCLUSION

Rheumatologists tended to practice in areas with less deprivation, resulting in twice as many rheumatologists per 100,000 people in the quintile of lowest deprivation as opposed to the quintile with the highest deprivation. Public policy makers should be aware of these data and take steps to mitigate disparities in access to care as the rheumatology workforce shrinks.

Association of Area-Level Heat and Social Vulnerability With Recurrent Hospitalizations Among Individuals With Rheumatic Conditions

OBJECTIVE

Climate and social vulnerability contribute to morbidity and health care utilization. We examined associations between the neighborhood Social Vulnerability Index (SVI) and the Heat Vulnerability Index (HVI) and recurrent hospitalizations among individuals with rheumatic conditions.

METHODS

Using a Massachusetts multihospital centralized clinical data repository, we identified individuals ≥18 years of age with a rheumatic condition who received rheumatology care within 3 years of April 2021. We defined the index date as 2 years before the last encounter and the baseline period as 1 year pre-index date. Addresses were geocoded and linked by census tract to the SVI and the HVI. We used multilevel, multinomial logistic regression to examine the odds of 1-3 and ≥4 hospitalizations (reference = 0) over 2 years post index date by vulnerability index, adjusting for age, gender, race/ethnicity, insurance, and comorbidities.

RESULTS

Among 14,401 individuals with rheumatic conditions, the mean ± age was 61.9 ± 15.7 years, 70% were female, 79% White, 7% Black, and 2% Hispanic. There were 8,251 hospitalizations; 11,649 individuals (81%) had 0 hospitalizations, 2,063 (14%) had 1-3, and 689 (5%) had ≥4. Adjusting for individual-level factors, individuals living in the highest versus lowest SVI areas had 1.84 times higher odds (95% confidence interval [95% CI] 1.43-2.36) of ≥4 hospitalizations. Individuals living in the highest versus lowest HVI areas had 1.64 times greater odds (95% CI 1.17-2.31) of ≥4 hospitalizations.

CONCLUSION

Individuals with rheumatic conditions living in areas with high versus low social and heat vulnerability had significantly greater odds of recurrent hospitalizations. Studies are needed to determine modifiable factors to mitigate risks.

Healthcare disparities in telemedicine for rheumatology care

PURPOSE OF REVIEW

We summarize the recent literature published in the last 2 years on healthcare disparities observed in the delivery of rheumatology care by telemedicine. We highlight recent research dissecting the underpinnings of healthcare disparities and identify potentially modifiable contributing factors.

RECENT FINDINGS

The COVID-19 pandemic has had major impacts on care delivery and has led to a pronounced increase in telemedicine use in rheumatology practice. Telemedicine services are disproportionately underutilized by racial/ethnic minority groups and among patients with lower socioeconomic status. Disparities in telemedicine access and use among vulnerable populations threatens to exacerbate existing outcome inequalities affecting people with rheumatic disease.

SUMMARY

Telemedicine has the potential to expand rheumatology services by reaching traditionally underserved communities. However, some areas lack the infrastructure and technology to engage in telemedicine. Addressing health equity and the digital divide may help foster more inclusive telemedicine care.

The point of no return? Functional disability transitions in patients with and without rheumatoid arthritis: A population-based cohort study

OBJECTIVE

To assess transition probability between different levels of functional disability (FD) and time spent with FD in patients with versus without rheumatoid arthritis (RA) after RA incidence/index date.

METHODS

This retrospective population-based cohort study included Olmsted County, Minnesota residents (1987 ACR criteria met in 1999-2013) and comparators without RA from the same area with similar age, sex and RA incidence/index date. Activities of Daily Living (ADL) were obtained by self-report questionnaires annually since 1999. FD was defined as having difficulty with ≥1 ADL. Multistate modeling was used to estimate the probability of transitioning between FD states.

RESULTS

Five hundred fifty-eight patients with RA and 457 comparators completed ≥2 questionnaires and were included. Patients with RA had increased risk of transitioning from no FD to FD: Hazard Ratio (HR) 2.4; 95%CI:1.9-3.0. Each additional FD at RA onset reduced the probability of returning to no FD by 14%. However, the probability of having ≥1 FD was stable between RA incidence and 10-year follow-up. In the first 15 years of disease, patients with RA spent on average 10.1 years without FD and 3.4 years with ≥1 FD versus 11.6 years and 2.0 years (p<0.001) in comparators.

CONCLUSION

Patients with RA remain functionally disadvantaged compared to individuals without RA. The likelihood of returning to no FD in RA decreases with each additional preexisting FD. However, the probability of FD does not increase within 10 years of RA onset, potentially reflective of the benefits of disease-modifying treatments in RA.

Association of Area-Level Socioeconomic Deprivation With Hypoglycemic and Hyperglycemic Crises in US Adults With Diabetes

IMPORTANCE

Social determinants of health play a role in diabetes management and outcomes, including potentially life-threatening complications of severe hypoglycemia and diabetic ketoacidosis (DKA) or hyperglycemic hyperosmolar state (HHS). Although several person-level socioeconomic factors have been associated with these complications, the implications of area-level socioeconomic deprivation are unknown.

OBJECTIVE

To examine the association between area-level deprivation and the risks of experiencing emergency department visits or hospitalizations for hypoglycemic and hyperglycemic crises (ie, DKA or HHS).

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used deidentified administrative claims data for privately insured individuals and Medicare Advantage beneficiaries across the US. The analysis included adults with diabetes who met the claims criteria for diabetes between January 1, 2016, and December 31, 2017. Data analyses were performed from November 17, 2020, to November 11, 2021.

EXPOSURES

Area deprivation index (ADI) was derived for each county for 2016 and 2017 using 17 county-level indicators from the American Community Survey. ADI values were applied to patients who were living in each county based on their index dates and were categorized according to county-level ADI quintile (with quintile 1 having the least deprivation and quintile 5 having the most deprivation).

MAIN OUTCOMES AND MEASURES

The numbers of emergency department visits or hospitalizations related to the primary diagnoses of hypoglycemia and DKA or HHS (ascertained using validated diagnosis codes in the first or primary position of emergency department or hospital claims) between 2016 and 2019 were calculated for each ADI quintile using negative binomial regression models and adjusted for patient age, sex, health plan type, comorbidities, glucose-lowering medication type, and percentage of White residents in the county.

RESULTS

The study population included 1 116 361 individuals (563 943 women [50.5%]), with a mean (SD) age of 64.9 (13.2) years. Of these patients, 343 726 (30.8%) resided in counties with the least deprivation (quintile 1) and 121 810 (10.9%) lived in counties with the most deprivation (quintile 5). Adjusted rates of severe hypoglycemia increased from 13.54 (95% CI, 12.91-14.17) per 1000 person-years in quintile 1 counties to 19.13 (95% CI, 17.62-20.63) per 1000 person-years in quintile 5 counties, corresponding to an incidence rate ratio of 1.41 (95% CI, 1.29-1.54; P < .001). Adjusted rates of DKA or HHS increased from 7.49 (95% CI, 6.96-8.02) per 1000 person-years in quintile 1 counties to 8.37 (95% CI, 7.50-9.23) per 1000 person-years in quintile 5 counties, corresponding to an incidence rate ratio of 1.12 (95% CI, 1.00-1.25; P = .049).

CONCLUSIONS AND RELEVANCE

This study found that living in counties with a high area-level deprivation was associated with an increased risk of severe hypoglycemia and DKA or HHS. The concentration of these preventable events in areas of high deprivation signals the need for interventions that target the structural barriers to optimal diabetes management and health.