Multi-disciplinary proactive follow-up algorithm for patients with advanced NSCLC receiving afatinib.

PURPOSE: Afatinib is a standard first-line therapy for advanced EGFR-positive NSCLC. We implemented a pharmacist-led proactive follow-up algorithm to identify and manage early afatinib-related adverse events (AEs). METHODS: We conducted a retrospective chart review of all patients treated with afatinib after implementation of the algorithm at the Sunnybrook Odette Cancer Centre (Toronto, ON, Canada) from April 1, 2015 to July 31, 2016. Our in-house algorithm involved consultations in person and proactive pharmacist-led callbacks on days 5, 10, and 17. All AEs were graded and documented in real time and management based on toxicity grade was standardized. This study evaluated the impact of our algorithm on real-world AEs. RESULTS AND DISCUSSION: Thirty-three patients were identified and reviewed. Median follow-up was 248 days. All patients experienced at least one drug-related AE; 18.2% were grade 3/4. The most common AEs were diarrhea 87.9%, rash 81.8%, stomatitis 57.6%, and paronychia 45.5%. Median dose of afatinib was 40 mg daily; 51.5% of patients had ≥ 1 dose reduction and 6.3% discontinued afatinib due to AEs. Proactive calls by the pharmacist identified 36.5% of all drug-related AEs, 33.3% of grade 3/4 AEs, 58.1% of first drug-related AEs and identified two patients that were non-compliant. Only 3.2% of AEs were identified by an emergency room/urgent clinic visit. CONCLUSIONS: This proactive multi-disciplinary AE management algorithm resulted in a low rate of urgent assessments and discontinuation due to toxicity while maintaining afatinib at ideal dose, thus providing a useful tool for centers prescribing afatinib.

Primary care reform and service use by people with serious mental illness in Ontario.

PURPOSE: To examine service use by adults with serious mental illness (SMI) rostered in new primary care models: enhanced fee-for-service (FFS), blended-capitation (CAP) and team-based capitation (TBC) models with and without mental health workers (MHW) in Ontario. METHODS: This cross-sectional study used administrative health service databases to compare use of mental health and general health services among persons with SMI enrolled in new models (n = 125,233). RESULTS: Relative to persons rostered in enhanced FFS, those in CAP and TBC had fewer mental health primary care visits (adjusted rate ratios and 95% confidence limits: CAP: 0.77 [0.74, 0.81]; TBC with MHW: 0.72 [0.68, 0.76]; TBC with no MHW: 0.81 [0.72, 0.93]). Compared to patients in enhanced FFS, those in TBC models also had more mental health hospital admissions (TBC with MHW: 1.12 [1.05, 1.20]; TBC with no MHW: 1.22 [1.05, 1.41]). Patterns of use of general services were similar. CONCLUSION: Further attention to financial incentives in capitation that influence care of persons with SMI is necessary to determine if they are aligned with aims of primary care reform.

Do MRI reports contain adequate preoperative staging information for end users to make appropriate treatment decisions for rectal cancer?

PURPOSE: This study was designed to elicit end-user opinions regarding the importance and diagnostic accuracy of MRI for T-category, threatened or involved circumferential margin (CRMi), and lymph node involvement (LNi) for preoperative staging of rectal cancer and to determine completeness of MRI reports for these elements on a population based level. METHODS: The first part of this study was a mailed survey of surgeons, radiation oncologists, and medical oncologists to elicit their opinions regarding the importance and diagnostic accuracy of T-category, CRMi, and LNi on MRI. The second part of the study was an audit of MRI reports issued for pre-operative staging of rectal cancer to assess the completeness of these reports for T-category, CRMi, and LNi. RESULTS: Although T-category, CRMi, and LNi were considered essential by 97, 94, and 77 % of respondents, respectively, the MRI report audit showed that only 40 % of MRI reports captured all of these elements. The majority of end users reported moderate diagnostic accuracy on MRI for T-category and CRMi and low diagnostic accuracy for LNi (52.3, 43, and 48.5 % respectively). Multivariate analysis showed that specialty was the only independent predictor of correct reporting of the diagnostic accuracy for each of the MRI elements. CONCLUSIONS: While end users consider T-category, CRMi and LNi essential for preoperative staging of rectal cancer, less than 40 % of MRI reports captured all of these elements. Therefore, strategies to improve communication between radiologists and end users are critical to improve the overall quality of care for rectal cancer patients.