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.

Occupational impacts of early inflammatory arthritis: results from the National Early Inflammatory Arthritis Audit.

OBJECTIVES: Inflammatory arthritis (IA) causes significant work disability. Studies frequently fail to report important contextual information such as employment type. Our objective was to explore work participation, by gender and occupation type in early IA. METHODS: Data are from the National Early Inflammatory Arthritis Audit between 2018 and 2020. At diagnosis, clinicians collected information on demographics, IA disease activity and working status. Participants completed patient-reported outcomes at baseline, 3- and 12-months, including occupation and Work Productivity Activity Impairment (WPAI). Descriptive analyses of work participation and WPAI scores by occupational class at all timepoints were performed. Regression models examined associations between WPAI score and occupation. FINDINGS: 12 473 people received a diagnosis of IA and reported employment status, amongst whom 5,999 (47%) were in paid-work at least 20-h/week. At diagnosis, the working cohort had statistically significant lower measures of disease activity (p< 0.001). Occupation data were available for 3,694 individuals. At diagnosis, 2,793 completed a WPAI; 200 (7.2%) had stopped work and 344 (12.3%) changed jobs because of IA symptoms. There was a high burden of absenteeism (30%) and presenteeism (40%). Compared with managerial or professional workers, the burden of work disability was greater amongst those in routine (manual) occupations. During follow-up, 9.4% of WPAI completers had stopped work and 14.6% had changed roles. Work dropout occurred almost entirely amongst people doing routine jobs. CONCLUSION: IA associates with work disability within 12 months of diagnosis. It is easier to retain work in certain employment sectors. Participation in routine jobs is more affected, which may widen health inequalities.

A randomised controlled trial of acceptance and commitment therapy for improving quality of life in people with muscle diseases.

Abstract. BACKGROUND: Chronic muscle diseases (MD) are progressive and cause wasting and weakness in muscles and are associated with reduced quality of life (QoL). The ACTMuS trial examined whether Acceptance and Commitment Therapy (ACT) as an adjunct to usual care improved QoL for such patients as compared to usual care alone. METHODS: This two-arm, randomised, multicentre, parallel design recruited 155 patients with MD (Hospital and Depression Scale ⩾ 8 for depression or ⩾ 8 for anxiety and Montreal Cognitive Assessment ⩾ 21/30). Participants were randomised, using random block sizes, to one of two groups: standard medical care (SMC) (n = 78) or to ACT in addition to SMC (n = 77), and were followed up to 9 weeks. The primary outcome was QoL, assessed by the Individualised Neuromuscular Quality of Life Questionnaire (INQoL), the average of five subscales, at 9-weeks. Trial registration was NCT02810028. RESULTS: 138 people (89.0%) were followed up at 9-weeks. At all three time points, the adjusted group difference favoured the intervention group and was significant with moderate to large effect sizes. Secondary outcomes (mood, functional impairment, aspects of psychological flexibility) also showed significant differences between groups at week 9. CONCLUSIONS: ACT in addition to usual care was effective in improving QoL and other psychological and social outcomes in patients with MD. A 6 month follow up will determine the extent to which gains are maintained.

Influence of Social Support, Financial Status, and Lifestyle on the Disparity Between Inflammation and Disability in Rheumatoid Arthritis.

OBJECTIVE: To investigate how social support, financial status, and lifestyle influence the development of excess disability in rheumatoid arthritis (RA). METHODS: Data were obtained from the Étude et Suivi des Polyarthrites Indifférenciées Récentes (ESPOIR) cohort study of people with RA. A previous analysis identified groups with similar inflammation trajectories but markedly different disability over 10 years; those in the higher disability trajectory groups were defined as having "excess disability." Self-reported data regarding contextual factors (social support, financial situation, lifestyle) were obtained from participants, and they completed patient-reported outcome measures (pain, fatigue, anxiety, depression) at baseline. The direct effect of the contextual factors on excess disability and the effect mediated by patient-reported outcome measures were assessed using structural equation models. Findings were validated in 2 independent data sets (Norfolk Arthritis Register [NOAR], Early Rheumatoid Arthritis Network [ERAN]). RESULTS: Of 538 included ESPOIR participants (mean age ± SD 48.3 ± 12.2 years; 79.2% women), 200 participants (37.2%) were in the excess disability group. Less social support (ß = 0.17 [95% confidence interval (95% CI) 0.08, 0.26]), worse financial situation (ß = 0.24 [95% CI 0.14, 0.34]), less exercise (ß = 0.17 [95% CI 0.09-0.25]), and less education (ß = 0.15 [95% CI 0.06, 0.23]) were associated with excess disability group membership; smoking, alcohol consumption, and body mass index were not. Fatigue and depression mediated a small proportion of these effects. Similar results were seen in NOAR and ERAN. CONCLUSION: Greater emphasis is needed on the economic and social contexts of individuals with RA at presentation; these factors might influence disability over the following decade.

Gout incidence and management during the COVID-19 pandemic in England, UK: a nationwide observational study using OpenSAFELY.

BACKGROUND: Gout is the most prevalent inflammatory arthritis, yet one of the worst managed. Our objective was to assess how the COVID-19 pandemic impacted incidence and quality of care for people with gout in England, UK. METHODS: With the approval of National Health Service England, we did a population-level cohort study using primary care and hospital electronic health record data for 17·9 million adults registered with general practices using TPP health record software, via the OpenSAFELY platform. The study period was from March 1, 2015, to Feb 28, 2023. Individuals aged 18-110 years were defined as having incident gout if they were assigned index diagnostic codes for gout, were registered with TPP practices in England for at least 12 months before diagnosis, did not receive prescriptions for urate-lowering therapy more than 30 days before diagnosis, and had not been admitted to hospital or attended an emergency department for gout flares more than 30 days before diagnosis. Outcomes assessed were incidence and prevalence of people with recorded gout diagnoses, incidence of gout hospitalisations, initiation of urate-lowering therapy, and attainment of serum urate targets (≤360 µmol/L). FINDINGS: From a reference population of 17 865 145 adults, 246 695 individuals were diagnosed with incident gout. The mean age of individuals with incident gout was 61·3 years (SD 16·2). 66 265 (26·9%) of 246 695 individuals were female, 180 430 (73·1%) were male, and 189 035 (90·9%) of 208 050 individuals with available ethnicity data were White. Incident gout diagnoses decreased by 30·9% in the year beginning March, 2020, compared with the preceding year (1·23 diagnoses vs 1·78 diagnoses per 1000 adults). Gout prevalence was 3·07% in 2015-16, and 3·21% in 2022-23. Gout hospitalisations decreased by 30·1% in the year commencing March, 2020, compared with the preceding year (9·6 admissions vs 13·7 admissions per 100 000 adults). Of 228 095 people with incident gout and available follow-up, 66 560 (29·2%) were prescribed urate-lowering therapy within 6 months. Of 65 305 individuals who initiated urate-lowering therapy with available follow-up, 16 790 (25·7%) attained a serum urate concentration of 360 µmol/L or less within 6 months of urate-lowering therapy initiation. In interrupted time-series analyses, urate-lowering therapy prescribing improved modestly during the pandemic, compared with pre-pandemic, whereas urate target attainment was similar. INTERPRETATION: Using gout as an exemplar disease, we showed the complexity of how health care was impacted during the COVID-19 pandemic. We observed a reduction in gout diagnoses but no effect on treatment metrics. We showed how country-wide, routinely collected data can be used to map disease epidemiology and monitor care quality. FUNDING: None.

Incidence and management of inflammatory arthritis in England before and during the COVID-19 pandemic: a population-level cohort study using OpenSAFELY.

Background: The impact of the COVID-19 pandemic on the incidence and management of inflammatory arthritis is not understood. Routinely captured data in secure platforms, such as OpenSAFELY, offer unique opportunities to understand how care for patients with inflammatory arthritis was impacted upon by the pandemic. Our objective was to use OpenSAFELY to assess the effects of the pandemic on diagnostic incidence and care delivery for inflammatory arthritis in England and to replicate key metrics from the National Early Inflammatory Arthritis Audit. Methods: In this population-level cohort study, we used primary care and hospital data for 17·7 million adults registered with general practices using TPP health record software, to explore the following outcomes between April 1, 2019, and March 31, 2022: (1) incidence of inflammatory arthritis diagnoses (rheumatoid arthritis, psoriatic arthritis, axial spondyloarthritis, and undifferentiated inflammatory arthritis) recorded in primary care; (2) time to first rheumatology assessment; (3) time to first prescription of a disease-modifying antirheumatic drug (DMARD) in primary care; and (4) choice of first DMARD. Findings: Among 17 683 500 adults, there were 31 280 incident inflammatory arthritis diagnoses recorded between April 1, 2019, and March 31, 2022. The mean age of diagnosed patients was 55·4 years (SD 16·6), 18 615 (59·5%) were female, 12 665 (40·5%) were male, and 22 925 (88·3%) of 25 960 with available ethnicity data were White. New inflammatory arthritis diagnoses decreased by 20·3% in the year commencing April, 2020, relative to the preceding year (5·1 vs 6·4 diagnoses per 10 000 adults). The median time to first rheumatology assessment was shorter during the pandemic (18 days; IQR 8-35) than before (21 days; 9-41). The proportion of patients prescribed DMARDs in primary care was similar before and during the pandemic; however, during the pandemic, fewer people were prescribed methotrexate or leflunomide, and more were prescribed sulfasalazine or hydroxychloroquine. Interpretation: Inflammatory arthritis diagnoses decreased markedly during the early phase of the pandemic. The impact on rheumatology assessment times and DMARD prescribing in primary care was less marked than might have been anticipated. This study demonstrates the feasibility of using routinely captured, near real-time data in the secure OpenSAFELY platform to benchmark care quality on a national scale, without the need for manual data collection. Funding: None.

Challenges and Opportunities in the Supply of Living Kidney Donation in the UK National Health Service: An Economic Perspective.

End-stage kidney disease is a significant burden on the healthcare systems of many countries, and this is likely to continue because of an increasingly aging and comorbid population. Multiple studies have demonstrated a significant clinical benefit in transplantation when compared with dialysis, however, there continues to be a shortage of donor kidneys available. This article provides an economic perspective on issues pertinent to living kidney donation and transplantation. Although ethics, equity, and cultural considerations often seem at odds with economic concepts around resource allocation, this article explains the situation around supply and demand for living kidneys and illustrates how this has been addressed in the economic literature. The article discusses different policy recommendations for resolving the imbalance between supply and demand in kidney donation, through policies under 3 main approaches: increasing supply, decreasing demand, and improving the allocation of kidney supply.

A comprehensive high cost drugs dataset from the NHS in England - An OpenSAFELY-TPP Short Data Report.

Background: At the outset of the COVID-19 pandemic, there was no routine comprehensive hospital medicines data from the UK available to researchers. These records can be important for many analyses including the effect of certain medicines on the risk of severe COVID-19 outcomes. With the approval of NHS England, we set out to obtain data on one specific group of medicines, "high-cost drugs" (HCD) which are typically specialist medicines for the management of long-term conditions, prescribed by hospitals to patients. Additionally, we aimed to make these data available to all approved researchers in OpenSAFELY-TPP. This report is intended to support all studies carried out in OpenSAFELY-TPP, and those elsewhere, working with this dataset or similar data. Methods: Working with the North East Commissioning Support Unit and NHS Digital, we arranged for collation of a single national HCD dataset to help inform responses to the COVID-19 pandemic. The dataset was developed from payment submissions from hospitals to commissioners. Results: In the financial year (FY) 2018/19 there were 2.8 million submissions for 1.1 million unique patient IDs recorded in the HCD. The average number of submissions per patient over the year was 2.6. In FY 2019/20 there were 4.0 million submissions for 1.3 million unique patient IDs. The average number of submissions per patient over the year was 3.1. Of the 21 variables in the dataset, three are now available for analysis in OpenSafely-TPP: Financial year and month of drug being dispensed; drug name; and a description of the drug dispensed. Conclusions: We have described the process for sourcing a national HCD dataset, making these data available for COVID-19-related analysis through OpenSAFELY-TPP and provided information on the variables included in the dataset, data coverage and an initial descriptive analysis.

A case-control and cohort study to determine the relationship between ethnic background and severe COVID-19.

BACKGROUND: People of minority ethnic backgrounds may be disproportionately affected by severe COVID-19. Whether this relates to increased infection risk, more severe disease progression, or worse in-hospital survival is unknown. The contribution of comorbidities or socioeconomic deprivation to ethnic patterning of outcomes is also unclear. METHODS: We conducted a case-control and a cohort study in an inner city primary and secondary care setting to examine whether ethnic background affects the risk of hospital admission with severe COVID-19 and/or in-hospital mortality. Inner city adult residents admitted to hospital with confirmed COVID-19 (n = 872 cases) were compared with 3,488 matched controls randomly sampled from a primary healthcare database comprising 344,083 people residing in the same region. For the cohort study, we studied 1827 adults consecutively admitted with COVID-19. The primary exposure variable was self-defined ethnicity. Analyses were adjusted for socio-demographic and clinical variables. FINDINGS: The 872 cases comprised 48.1% Black, 33.7% White, 12.6% Mixed/Other and 5.6% Asian patients. In conditional logistic regression analyses, Black and Mixed/Other ethnicity were associated with higher admission risk than white (OR 3.12 [95% CI 2.63-3.71] and 2.97 [2.30-3.85] respectively). Adjustment for comorbidities and deprivation modestly attenuated the association (OR 2.24 [1.83-2.74] for Black, 2.70 [2.03-3.59] for Mixed/Other). Asian ethnicity was not associated with higher admission risk (adjusted OR 1.01 [0.70-1.46]). In the cohort study of 1827 patients, 455 (28.9%) died over a median (IQR) of 8 (4-16) days. Age and male sex, but not Black (adjusted HR 1.06 [0.82-1.37]) or Mixed/Other ethnicity (adjusted HR 0.72 [0.47-1.10]), were associated with in-hospital mortality. Asian ethnicity was associated with higher in-hospital mortality but with a large confidence interval (adjusted HR 1.71 [1.15-2.56]). INTERPRETATION: Black and Mixed ethnicity are independently associated with greater admission risk with COVID-19 and may be risk factors for development of severe disease, but do not affect in-hospital mortality risk. Comorbidities and socioeconomic factors only partly account for this and additional ethnicity-related factors may play a large role. The impact of COVID-19 may be different in Asians. FUNDING: British Heart Foundation; the National Institute for Health Research; Health Data Research UK.

Centre effects and case-mix in early rheumatoid arthritis observational cohorts: a narrative review.

OBJECTIVES: Observational cohort studies in early RA are a key source of evidence, despite inconsistencies in methodological approaches. This narrative review assesses the spectrum of methodologies used in addressing centre-level effect and case-mix adjustment in early RA observational cohort studies. METHODS: An electronic search was undertaken to identify observational prospective cohorts of >100 patients recruited from two or more centres, within 2 years of an RA or early inflammatory arthritis diagnosis. References and author publication lists of all studies from eligible cohorts were assessed for additional cohorts. RESULTS: Thirty-four unique cohorts were identified from 204 studies. Seven percent of studies considered centre in their analyses, most commonly as a fixed effect in regression modelling. Reporting of case-mix variables in analyses varied widely. The number of variables considered in case-mix adjustment was higher following publication of the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) statement in 2007. CONCLUSION: Centre effect is unreported or inadequately accounted for in the majority of RA observational cohorts, potentially leading to spurious inferences and obstructing comparisons between studies. Inadequate case-mix adjustment precludes meaningful comparisons between centres. Appropriate methodology to account for centre and case-mix adjustment should be considered at the outset of analyses.

Individual-level and country-level socioeconomic determinants of disease outcomes in SpA: multinational, cross-sectional study (ASAS-COMOSPA).

OBJECTIVE: To explore the independent contribution of individual-level and country level socioeconomic status (SES) determinants to disease activity and physical function in patients with spondyloarthritis (SpA). METHODS: Data from the cross-sectional, multinational (n=22 countries worldwide) COMOSPA (COMOrbidities in SpA) study were used. Contribution of individual SES factors (gender, education) and country of residence to Ankylosing Spondylitis Disease Activity Score (ASDAS) and Bath Ankylosing Spondylitis Functional Index (BASFI) was explored in multilevel regression models, adjusting for clinical and demographic confounders. Next, the additional effects of national macroeconomic indicators (gross domestic product [GDP], Human Development Index, healthcare expenditure and Gini index) were explored. The mediating role of uptake of biologic disease-modifying antirheumatic drugs between education or GDP and ASDAS was explored by testing indirect effects. RESULTS: In total, 3370 patients with SpA were included: 65% were male, with a mean age of 43 (SD 14), ASDAS of 2.0 (SD 1.1) and BASFI score of 3.1 (SD 2.7). In adjusted models, patients with low education and female patients had an OR of 1.7 (95% CI 1.3 to 2.2) and an OR of 1.7 (95% CI 1.4 to 2.0), respectively, of having ASDAS ≥2.1. They also reported slightly worse function. Large country differences were observed independent of individual SES and clinical confounders. Patients from less SES developed countries have worse ASDAS, while patterns for BASFI were insignificant. Uptake of biologicals did not mediate the relationship between individual-level or country-level SES and disease activity. CONCLUSIONS: Individual-level and country-level health inequalities exist also among patients with SpA. Women and lower educated persons had worse disease activity and somewhat worse physical function. While patients in less socioeconomically developed countries had higher disease activity, they reported similar physical function.

Equivalence in the Health Assessment Questionnaire (HAQ) across socio-demographic determinants: Analyses within QUEST-RA.

OBJECTIVES: To investigate potential bias in scores of the Health Assessment Questionnaire (HAQ) related to socio-demographic (SD) background of patients with rheumatoid arthritis (RA). METHODS: Data from the Quantitative Standard Monitoring of Rheumatoid Arthritis study (QUEST-RA), comprising 9022 patients were analysed. Physical function was assessed through 30 items of four HAQ versions: the HAQ-Disability scale, HAQ-II, modified HAQ and multi-dimensional HAQ (MD-HAQ). DIF was investigated using item response theory models implemented in a latent variable modelling framework. Models were equivalent to ordinal logistic regression models with HAQ score (item level) as outcome, the latent trait 'physical function' and individual SD factors (age, gender, education, and employment status) as predictors. Next, scores of composite HAQs were adjusted for DIF. To assess the impact of DIF on associations between SD factors and HAQs, multilevel mixed-effect linear regression models with individuals nested in country were estimated with DIF-adjusted or unadjusted HAQ as outcome. RESULTS: Relevant DIF (OR > 1.1 or <0.90) was found in several HAQ items primarily for age, gender and work status. Adjustment of composite HAQs for DIF resulted in small increases (Δ0.02-0.07); MD-HAQ best compensated for bias related to SD factors (Δ0.02). In regressions, all SD factors remained significantly related to DIF-adjusted HAQs, with differences in coefficients largest for gender (Δ0.02-0.07) but overall negligible. CONCLUSIONS: SD factors produce response bias in individual HAQ items but have little impact on composite HAQs. When interpreting HAQ across SD factors, MD-HAQ is preferred, but caution remains when comparing function across gender.

Healthcare organisation and delivery for people with dementia and comorbidity: a qualitative study exploring the views of patients, carers and professionals.

OBJECTIVES: People living with dementia (PLWD) have a high prevalence of comorbidty. The aim of this study was to explore the impact of dementia on access to non-dementia services and identify ways of improving service delivery for this population. DESIGN: Qualitative study involving interviews and focus groups. Thematic content analysis was informed by theories of continuity of care and access to care. SETTING: Primary and secondary care in the South and North East of England. PARTICIPANTS: PLWD who had 1 of the following comorbidities-diabetes, stroke, vision impairment, their family carers and healthcare professionals (HCPs) in the 3 conditions. RESULTS: We recruited 28 community-dwelling PLWD, 33 family carers and 56 HCPs. Analysis resulted in 3 overarching themes: (1) family carers facilitate access to care and continuity of care, (2) the impact of the severity and presentation of dementia on management of comorbid conditions, (3) communication and collaboration across specialities and services is not dementia aware. We found examples of good practice, but these tended to be about the behaviour of individual practitioners rather than system-based approaches; current systems may unintentionally block access to care for PLWD. CONCLUSIONS: This study suggests that, in order to improve access and continuity for PLWD and comorbidity, a significant change in the organisation of care is required which involves: coproduction of care where professionals, PLWD and family carers work in partnership; recognition of the way a patient's diagnosis of dementia affects the management of other long-term conditions; flexibility in services to ensure they are sensitive to the changing needs of PLWD and their family carers over time; and improved collaboration across specialities and organisations. Research is needed to develop interventions that support partnership working and tailoring of care for PLWD and comorbidity.

Usefulness of the SF-36 Health Survey in screening for depressive and anxiety disorders in rheumatoid arthritis.

BACKGROUND: This study aimed to assess the accuracy of the Short-Form Health Survey (SF-36) mental health subscale (MH) and mental component summary (MCS) scores in identifying the presence of probable major depressive or anxiety disorder in patients with rheumatoid arthritis. METHODS: SF-36 data were collected in 100 hospital outpatients with rheumatoid arthritis. MH and MCS scores were compared against depression and anxiety data collected using validated measures as part of routine clinical practice. Sensitivity and specificity of the SF-36 were established using receiver operating characteristic (ROC) curve analysis, and area under the curve (AUC) compared the performance of the SF-36 components with the 9-item Patient Health Questionnaire (PHQ9) for depression and the 7-item Generalised Anxiety Disorder (GAD7) questionnaire for anxiety. RESULTS: The MH with a threshold of ≤52 had sensitivity and specificity of 81.0 and 71.4 % respectively to detect anxiety, correctly classifying 73.5 % of patients with probable anxiety disorder. A threshold of ≤56 had sensitivity and specificity of 92.6 and 73.2 % respectively to detect depression, correctly classifying 78.6 % of patients, and the same threshold could also be used to detect either depression or anxiety with a sensitivity of 87.9 %, specificity of 76.9 % and accuracy of 80.6 %. The MCS with a threshold of ≤35 had sensitivity and specificity of 85.7 and 81.9 % respectively to detect anxiety, correctly classifying 82.8 % of patients with probable anxiety disorder. A threshold of ≤40 had sensitivity and specificity of 92.3 and 70.2 % respectively to detect depression, correctly classifying 76.3 % of patients. A threshold of ≤38 could be used to detect either depression or anxiety with a sensitivity of 87.5 %, specificity of 80.3 % and accuracy of 82.8 %. CONCLUSION: This analysis may increase the utility of a widely-used questionnaire. Overall, optimal use of the SF-36 for screening for mental disorder may be through using the MCS with a threshold of ≤38 to identify the presence of either depression or anxiety.

Health Assessment Questionnaire disability progression in early rheumatoid arthritis: systematic review and analysis of two inception cohorts.

OBJECTIVE: The Health Assessment Questionnaire is widely used for patients with inflammatory polyarthritis (IP) and its subset, rheumatoid arthritis (RA). In this study, we evaluated the progression of HAQ scores in RA (i) by systematically reviewing the published literature on the methods used to assess changes in functional disability over time and (ii) to study in detail HAQ progression in two large prospective observational studies from the UK. METHODS: Data from two large inception cohorts, ERAS and NOAR, were studied to determine trajectories of HAQ progression over time by applying latent class growth models (LCGMs) to each dataset separately. Age, sex, baseline DAS28, symptom duration, rheumatoid factor, fulfilment of the 1987 ACR criteria and socio-economic status (SES) were included as potential predictors of HAQ trajectory subgroup membership. RESULTS: The literature search identified 49 studies showing that HAQ progression has mainly been based on average changes in the total study population. In the HAQ progression study, a LCGM with four HAQ trajectory subgroups was selected as providing the best fit in both cohorts. In both the cohorts, older age, female sex, longer symptom duration, fulfilment of the 1987 ACR criteria, higher DAS28 and lower SES were associated with increased likelihood of membership of subgroups with worse HAQ progression. CONCLUSION: Four distinct HAQ trajectory subgroups were derived from the ERAS and NOAR cohorts. The fact that the subgroups identified were nearly identical supports their validity. Identifying distinct groups of patients who are at risk of poor functional outcome may help to target therapy to those who are most likely to benefit.