Impact of a Rheumatology Clinic Protocol on Tobacco Cessation Quit Line Referrals.

OBJECTIVE: Smoking increases cardiopulmonary and rheumatic disease risk, yet tobacco cessation intervention is rare in rheumatology clinics. This study aimed to implement a rheumatology staff-driven protocol, Quit Connect, to increase the rate of electronic referrals (e-referrals) to free, state-run tobacco quit lines. METHODS: We conducted a quasi-experimental cohort study of Quit Connect at 3 rheumatology clinics comparing tobacco quit line referrals from 4 baseline years to referrals during a 6-month intervention period. Nurses and medical assistants were trained to use 2 standardized electronic health record (EHR) prompts to check readiness to quit smoking within 30 days, advise cessation, and connect patients using tobacco quit line e-referral orders. Our objective was to use EHR data to examine the primary outcome of tobacco quit line referrals using pre/post design. RESULTS: Across 54,090 pre- and post-protocol rheumatology clinic visits, 4,601 were with current smokers. We compared outcomes between 4,078 eligible pre-implementation visits and 523 intervention period visits. Post-implementation, the odds of tobacco quit line referral were 26-fold higher compared to our pre-implementation rate (unadjusted odds ratio [OR] 26 [95% confidence interval (95% CI) 6-106]). Adjusted odds of checking readiness to quit in the next 30 days increased over 100-fold compared to pre-implementation (adjusted OR 132 [95% CI 99-177]). Intervention led to e-referrals for 71% of quit-ready patients in <90 seconds; 24% of referred patients reported a quit attempt. CONCLUSION: Implementing Quit Connect in rheumatology clinics was feasible and improved referrals to a state-run tobacco quit line. Given the importance of smoking cessation to reduce cardiopulmonary and rheumatic disease risk, future studies should investigate disseminating cessation protocols like Quit Connect that leverage tobacco quit lines.

Assessing Unwanted Variations in Rheumatology Clinic Previsit Rooming.

BACKGROUND: Rheumatologists face time pressures similar to primary care but have not generally benefitted from optimized team-based rooming during the time from the waiting room until the rheumatologist enters the room. OBJECTIVE: The aim of this study was to assess current capacity for population management in rheumatology clinics; we aimed to measure the tasks performed by rheumatology clinic staff (medical assistants or nurses) during rooming. METHODS: We performed a cross-sectional time-study and work-system analysis to measure rooming workflows at 3 rheumatology clinics in an academic multispecialty practice during 2014-2015. We calculated descriptive statistics and compared frequencies and durations using Fisher exact test and analysis of variance. RESULTS: Observing 190 rheumatology clinic previsit rooming sequences (1419 minutes), we found many significant variations. Total rooming duration varied by clinic (median, 6.75-8.25 minutes; p < 0.001). Vital sign measurement and medication reconciliation accounted for more than half of rooming duration. Among 3 clinics, two of 15 tasks varied significantly in duration, and 9 varied in frequency. Findings led clinic leaders to modify policies and procedures regarding 6 high-variation tasks streamlining assessment of weight, height, pain scores, tobacco use, disease activity, and refill needs. CONCLUSIONS: Assessing rheumatology rooming tasks identified key opportunities to improve quality and efficiency without burdening providers. This project demonstrated user-friendly methods to identify opportunities to standardize rooming and support data-driven decisions regarding rheumatology clinic practice changes to improve population management in rheumatology.