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Objective: To determine the rate of low health literacy in the rheumatoid arthritis (RA) population in southwestern Ontario., Methods: For the study, 432 patients with RA were contacted, and 311 completed the assessment. The health literacy levels of the participants were estimated using 4 assessment tools administered in the following order: the Single Item Literacy Screener (SILS), the Medical Term Recognition Test (METER), the Rapid Estimate of Adult Literacy in Medicine (REALM), and the Shortened Test of Functional Health Literacy in Adults (STOFHLA)., Results: The rates of low literacy as estimated by STOFHLA, REALM, METER, and SILS were 14.5%, 14.8%, 14.1%, and 18.6%, respectively. All 4 assessment tools were statistically significantly correlated. STOFHLA, REALM, and METER were strongly correlated with each other (r = 0.59-0.79), while SILS only demonstrated moderate correlations with the other assessment tools (r = 0.33-0.45). Multiple linear regression and binary logistic regression analyses revealed that low levels of education and a lack of daily reading activity were common predictors of low health literacy. Using a non-English primary language at home was found to be a strong predictor of low health literacy in STOFHLA, REALM, and METER. Male sex was found to be a significant predictor of poor performance in REALM and METER, but not STOFHLA., Conclusion: Low health literacy is an important issue in the southwestern Ontario RA population. About 1 in 7 patients with RA may not have the necessary skills to become involved in making decisions regarding their personal health. Rheumatologists should be aware of the low health literacy levels of patients with RA and should consider identifying patients at risk of low health literacy.

Objective: Rheumatologists triage referrals to assess those patients who may benefit from early intervention. We describe a referral tool and formally evaluate its sensitivity for urgent and early inflammatory arthritis (EIA) referrals., Methods: All referrals received on a standardized referral tool were reviewed by a rheumatologist and, based on the information conferred, assigned a triage grade using a previously described triage system. Each referral was also dichotomized as suspected EIA or not. After the initial rheumatologic assessment, the diagnosis was recorded and a consultation grade, blinded to referral grade, was assigned to each case. Agreement between referral and consultation grades was assessed. A regression analysis was performed to determine factors that predicted truly urgent referrals including EIA., Results: We evaluated 696 referrals. A total of 210 (30.2%) were categorized as urgent at the time of consultation. The referral tool was able to successfully detect 169 of these referrals (sensitivity 80.5%, specificity 79.4%). EIA occurred in 95 (13.6%); of those referrals, 86 were correctly classified as urgent at the time of triage (sensitivity 90.5%, specificity 69.6%). Items that helped correctly discriminate urgent or EIA referrals included patient age < 60, duration of disease, morning stiffness, patient-reported joint swelling, a personal or family history of psoriasis, urgency as rated by referring physician, prior assessment by a rheumatologist, elevated C-reactive protein, and a positive rheumatoid factor., Conclusion: A 1-page referral tool that includes parts completed by the referring physician and patient has good sensitivity to detect urgent referrals including EIA.

Objective: With continuing use of the Internet, rheumatologists are referring patients to various websites to gain information about medications and diseases. Our goal was to develop and evaluate a Medication Website Assessment Tool (MWAT) for use by health professionals, and to explore the overall quality of methotrexate information presented on common English-language websites., Methods: Identification of websites was performed using a search strategy on the search engine Google. The first 250 hits were screened. Inclusion criteria included those English-language websites from authoritative sources, trusted medical, physicians', and common health-related websites. Websites from pharmaceutical companies, online pharmacies, and where the purpose seemed to be primarily advertisements were also included. Product monographs or technical-based web pages and web pages where the information was clearly directed at patients with cancer were excluded. Two reviewers independently scored each included web page for completeness and accuracy, format, readability, reliability, and credibility. An overall ranking was provided for each methotrexate information page., Results: Twenty-eight web pages were included in the analysis. The average score for completeness and accuracy was 15.48+/-3.70 (maximum 24) with 10 out of 28 pages scoring 18 (75%) or higher. The average format score was 6.00+/-1.46 (maximum 8). The Flesch-Kincaid Grade Level revealed an average grade level of 10.07+/-1.84, with 5 out of 28 websites written at a reading level less than grade 8; however, no web page scored at a grade 5 to 6 level. An overall ranking was calculated identifying 8 web pages as appropriate sources of accurate and reliable methotrexate information., Conclusion: With the enormous amount of information available on the Internet, it is important to direct patients to web pages that are complete, accurate, readable, and credible sources of information. We identified web pages that may serve the interests of both rheumatologists and patients.

Objective: To estimate the prevalence of scleroderma (systemic sclerosis, SSc) in 3 cities, Windsor, Sarnia, and Woodstock, Ontario, within our referral area, which has a referral base population of 1 million., Methods: To compare the addresses and exposures of referrals with SSc, we performed a case control study using our patients with scleroderma and 2 age and sex matched controls from the same rheumatologist's practice., Results: Sixty-seven of 91 patients with SSc and 87 of 154 controls responded. The mean age of patients with SSc was 53.2 years versus 52.8 years in controls. There was no statistically significant increase in the number of SSc patients from Windsor (population 197,694): 14 patients (15.4%) with SSc versus 18 controls (11.6%) (p < 0.41); or Sarnia (population 72,738): 7 patients (7.7%) with SSc versus 7 controls (4.5%) (p < 0.31). However, there were 9 cases (9.9%) from Woodstock (population 32,086) versus one control (0.64%) (p < 0.0004). The point prevalence of scleroderma was at least 0.71/10,000 in Windsor, 0.96/10,000 in Sarnia, and 2.8/10,000 in Woodstock. There were no significant between-group differences in exposure to industrial toxins or chemicals including vinyl chloride, silica, and benzene, but exposure rates in both groups were low. Occupations and proportion of those who were work disabled were not different. Patients with SSc were not more likely to have smoked cigarettes (p < 0.43); however, they were more likely to drink at least 6 drinks of alcohol per week (p < 0.04) and had more dental fillings (p < 0.05). Patients with SSc knew on average 3.2 others with this disease, and controls knew only 0.25 others with scleroderma (p < 0.00001). Two patients with SSc knew someone with SSc in their workplace versus none of the controls., Conclusion: Our a priori expected higher prevalence of scleroderma in Windsor and Sarnia did not reach significance, but the cluster in Woodstock seems statistically validated, and the exact reason for this cluster remains unclear. It is unlikely that all patients with SSc in Woodstock were seen by us, so the prevalence of scleroderma is at least 2.8/10,000, which is a medium to high prevalence compared to other studies. Associations with alcohol and dental fillings require further study.