What is the best referral strategy for axial spondyloarthritis? A prospective multicenter study in patients with suspicious chronic low back pain.

OBJECTIVE: To assess the value of referral strategies for axial spondyloarthritis (axSpA) in patients with suspicious chronic inflammatory low back pain (LBP), to estimate the value of inflammatory back pain (IBP) for referral, and to identify the predictive factors of the final diagnosis of axSpA in Middle Eastern Arab countries. METHODS: The study was multicentric, prospective, and conducted in LBP first-line clinics (rheumatology, internal, family medicine, orthopedic surgery, neurosurgery, and neurology). Consecutive adult patients aged under 45years were included in case of LBP suspicious of inflammatory nature according to the first-line physician. The rheumatologist's final diagnosis was the gold standard. The diagnostic properties of ten referral strategies (Brandt I, II, III, Hermann, RADAR, RADAR 2/3, MASTER, Braun, CAFASPA, and ASAS) and of IBP were calculated. A multivariable logistic regression identified the clinical predictive factors of axSpA. RESULTS: In 515 referred patients, axSpA was confirmed in 48%, refuted in 43%, and diagnosis remained inconclusive in 9%. The optimal referral strategy was the MASTER (PLR 3.3), which comprises IBP, good response to NSAIDs, positive HLA-B27, and SpA family history. Considering strategies without HLA-B27, the RADAR 2/3 had a PLR of 2.9 (IBP, good response to NSAIDs, any extra-musculoskeletal manifestation). The predictive factors for axSpA were MRI sacroiliitis, positive HLA-B27, high CRP, psoriasis, IBP, and longer symptom duration. Of all patients, 35% were self-referred, 16% were referred by primary care physicians, and 15% by neuro/orthopedic surgeons. CONCLUSION: Optimizing physicians' awareness of these clinical features may enhance referral in axSpA.

How to optimize recruitment strategies of patients with rheumatic and musculoskeletal diseases for online surveys: experience from an international study.

The use of online surveys as a recruitment tool for clinical research has recently expanded; nevertheless, optimal recruitment strategies remain poorly identified. Objectives. The study aimed to identify the most effective recruitment strategies for online research studies and to determine the optimal survey channels for obtaining patients' responses. This is a post-hoc analysis of the ARCOVAX (ArLAR COVID Vaccination) study. Multiple recruitment strategies were disseminated in Arabic, English, and French. The proportion of enrolled patients was correlated with each strategy. Channels used by patients to complete the survey were divided into three categories (social media (SoMe), doctor, and patients' associations). These channels were correlated with the patients' characteristics and the country's Gross Domestic Product (GDP). A total of 1595 patients from 19 Arab countries completed the survey. Patients' mean age was 39 years, 73.2% (1159) were females, 17.8% (284) had a university education level and 93.1% (1468) answered the survey in Arabic. The most effective recruitment strategies were personalized WhatsApp reminders to recruiters (30% of enrolled patients), technical support in response to access issues (27%) and sharing recruitment status by country on a WhatsApp group (24%). The channels used to complete the survey were: SoMe in 45% (711), doctor in 40% (647), and patients' associations in 8.5% (233), and correlated with age and GDP. To optimize recruitment, it is recommended to combine multiple strategies and channels, use the native language and be active (mobilize teams), reactive (provide prompt technical support), and proactive (share regular updates and reminders).