Facilitators and barriers in diagnosing rheumatoid arthritis as described by general practitioners: a Danish study based on focus group interviews

Patients Journey Before Early Rheumatoid Arthritis Diagnosis Contributes to disease's Activity Level: A Real-Life Study

INTRODUCTION

The help-seeking process in rheumatoid arthritis (RA) patients is challenging, and its study is limited in Latin America. The study describes the real-life journey before patients' incorporation into an early arthritis clinic (EAC) and its impact on baseline and 1-year cumulative disease activity levels.

PATIENTS AND METHODS

The patient's journey was assessed through a questionnaire that captured the patient's path from the first disease-related symptom to the initial assessment in the EAC. A disease activity (28 joints evaluated)-erythrocyte sedimentation rate (DAS28-ESR) score >5.1 defined a high-disease activity level. The mean of individual consecutive DAS28-ESR scores summarized cumulative DAS28-ESR. Multiple logistic regression analysis identified factors associated with a DAS28-ESR score >5.1 at the first assessment. Linear regression analysis assessed the impact of general practitioner (GP)-first consultant and time on disease-modifying antirheumatic drugs (DMARDs) on baseline and cumulative DAS28-ESR scores.

RESULTS

Through January 2023, the EAC had 241 RA patients, among whom 209 (86.7%) completed the patients' journey questionnaire (PJQ) and 176 (84.2%) at least 1 year of follow-up. A GP was the first consultant in 76.6% of the patients, and only 12.4% were prescribed DMARDs. Patients had additional evaluations with either rheumatologists (38.6%) or other specialists (31.6%), and half of them were initiated DMARDs. GP-first consultant (adjusted odds ratio: 2.314, 95% confidence interval: 1.190-4.500, p = 0.013) and time on DMARDs (adjusted odds ratio: 0.738, 95% confidence interval: 0.585-0.929, p = 0.010) were associated with baseline DAS28-ESR score >5.1. The B coefficient magnitudes for GP-first consultant and time on DMARDs to predict cumulative DAS28 progressively decreased during the first year of follow-up.

CONCLUSIONS

Patients' journey before recent-onset RA diagnosis predicts first-year disease activity levels.

Management of Rheumatoid Arthritis in Primary Care: A Scoping Review

Rheumatoid arthritis (RA) can lead to severe joint impairment and chronic disability. Primary care (PC), provided by general practitioners (GPs), is the first level of contact for the population with the healthcare system. The aim of this scoping review was to analyze the approach to RA in the PC setting. PubMed, Scopus, and Web of Science were searched using the MESH terms "rheumatoid arthritis" and "primary care" from 2013 to 2023. The search strategy followed the PRISMA-ScR guidelines. The 61 articles selected were analyzed qualitatively in a table and discussed in two sections, namely criticisms and strategies for the management of RA in PC. The main critical issues in the management of RA in PC are the following: difficulty and delay in diagnosis, in accessing rheumatological care, and in using DMARDs by GPs; ineffective communication between GPs and specialists; poor patient education; lack of cardiovascular prevention; and increase in healthcare costs. To overcome these criticisms, several management strategies have been identified, namely early diagnosis of RA, quick access to rheumatology care, effective communication between GPs and specialists, active patient involvement, screening for risk factors and comorbidities, clinical audit, interdisciplinary patient management, digital health, and cost analysis. PC appears to be the ideal healthcare setting to reduce the morbidity and mortality of chronic disease, including RA, if a widespread change in GPs' approach to the disease and patients is mandatory.

Use of primary health care and radiological imaging preceding a diagnosis of rheumatoid arthritis: a nationwide cohort study in Denmark

OBJECTIVE

To explore health-care use in the 12 months preceding a diagnosis of RA in Denmark.

METHODS

We conducted a population-based cohort study using data from national registries. Every patient diagnosed with RA in 2014-18 was matched to 10 reference individuals without RA from the Danish background population. Health-care use was defined as contacts to general practitioners, contacts to private practicing physiotherapists, and X-rays of hands and/or feet performed in primary or secondary care. We estimated the monthly contact rates for patients and references in the 12 months preceding the diagnosis, and we compared incidence rates for health-care use in each month between the two groups while adjusting for sociodemographic characteristics and comorbidity.

RESULTS

We included 7427 patients with RA and 74 270 references. Patients with RA had increasing contact rates with general practitioners and physiotherapists from 6 to 8 months before the diagnosis. Compared with references, women with RA had statistically significantly more contacts to general practitioners and physiotherapists during all 12 months. A similar contact pattern was seen in men, albeit less distinct. The number of X-rays increased slightly from 8 months before the diagnosis, with a steep increase in the last 3 months.

CONCLUSION

Increased contacts to general practitioners and physiotherapists were seen in all 12 months preceding the RA diagnosis, intensifying in the last 6 to 8 months. Imaging increased from 3 months before the diagnosis. This indicates an opportunity to expedite referral to specialist care and ensure earlier diagnosis of RA.

Barriers to the Diagnosis of Early Inflammatory Arthritis: A Literature Review

The early identification of patients with inflammatory arthritis and their referral to rheumatologists in order to establish a diagnosis and to start treatment plays a crucial role in patient outcomes. However, it is recognized that a large proportion of patients with inflammatory arthritis are diagnosed very late, losing the opportunity to start treatment in the very early stages of disease, resulting in a worse prognosis. This delay depends on several factors related to the patient, the disease, socio-demographic and health system aspects. Over time, several strategies have been developed and implemented at different levels aiming to overcome such barriers and to reduce the time from the onset of the symptoms until the diagnosis and start of adequate treatment. In this non-systematic comprehensive review, we will describe the main barriers in the identification of patients with inflammatory arthritis at different levels. We will also discuss the different strategies that have been implemented with the objective to overcome the recognized barriers and their impact in the reduction of delays.

Practices among General Practitioners in Rheumatoid Arthritis (GEPRA-I): results of a region-wide online survey

Background

To assess current practice regarding the management of rheumatoid arthritis patients among general practitioners of a French region, and their perception about the deployment of a multidisciplinary collaboration.

Methods

A cross-sectional online survey was sent to the general practitioners of a French region. The questionnaire comprised of 3 sections to collect data regarding 1/demographics, 2/practice and knowledge in rheumatoid arthritis, and 3/perception about the deployment of a multidisciplinary collaboration.

Results

1/A total of 247 general practitioners (M/F ratio: 1.4; mean age: 46.7 years) completed the survey. 2/More than half of general practitioners believed that their role was very or extremely important in disease diagnosis (72.5%), and management of comorbidities (67.2%). Among respondents, 6.1% considered that they did not face any difficulty concerning the patient management and 61.5% had already identified causes of non-adherence. 3/A total of 151 (61.1%) general practitioners were willing to participate in a multidisciplinary programme to improve medication adherence in rheumatoid arthritis.

Conclusions

General practitioners are motivated to contribute to an overall management of rheumatoid arthritis patients. Nevertheless, they need professional education about rheumatoid arthritis treatment and training in motivational interviews before getting involved in a multidisciplinary collaboration.

A multicentre validation study of a smartphone application to screen hand arthritis

BACKGROUND

Arthritis is a common condition, and the prompt and accurate assessment of hand arthritis in primary care is an area of unmet clinical need. We have previously developed and tested a screening tool combining machine-learning algorithms, to help primary care physicians assess patients presenting with arthritis affecting the hands. The aim of this study was to assess the validity of the screening tool among a number of different Rheumatologists.

METHODS

Two hundred and forty-eight consecutive new patients presenting to 7 private Rheumatology practices across Australia were enrolled. Using a smartphone application, each patient had photographs taken of their hands, completed a brief 9-part questionnaire, and had a single examination result (wrist irritability) recorded. The Rheumatologist diagnosis was entered following a 45-minute consultation. Multiple machine learning models were applied to both the photographic and survey/examination results, to generate a screening outcome for the primary diagnoses of osteoarthritis, rheumatoid and psoriatic arthritis.

RESULTS

The combined algorithms in the application performed well in identifying and discriminating between different forms of hand arthritis. The algorithms were able to predict rheumatoid arthritis with accuracy, precision, recall and specificity of 85.1, 80.0, 88.1 and 82.7% respectively. The corresponding results for psoriatic arthritis were 95.2, 76.9, 90.9 and 95.8%, and for osteoarthritis were 77.4, 78.3, 80.6 and 73.7%. The results were maintained when each contributor was excluded from the analysis. The median time to capture all data across the group was 2 minutes and 59 seconds.

CONCLUSIONS

This multicentre study confirms the results of the pilot study, and indicates that the performance of the screening tool is maintained across a group of different Rheumatologists. The smartphone application can provide a screening result from a combination of machine-learning algorithms applied to hand images and patient symptom responses. This could be used to assist primary care physicians in the assessment of patients presenting with hand arthritis, and has the potential to improve the clinical assessment and management of such patients.