Citations

Introduction: Current risk equations for coronary heart disease (CHD) do not take into account family history or cumulative exposure to LDL-C. We modified CHD risk equations for use in familial hypercholesterolemia (FH) patients and developed a decision aid (DA) for FH to facilitate shared decision making (SDM). Methods: Literature review, evidence synthesis and expert input were used to adapt the 30-year Framingham Risk Score (FRS) and 10-year ACC/AHA pooled cohort equations to calculate the CHD risk in individuals with FH aged 20-39 years and ≥40 years, respectively. Based on published data, estimated risk was multiplied by 2 for family history of early CHD or 3 in the presence of a pathogenic variant. Treatment benefit of lipid lowering was estimated based on the ‘cumulative exposure to LDL-C’ model ( JACC 2012; 60 ) using the following equations: Post-treatment 30-yr risk in those aged 20-39 years = Baseline Risk (FRS) x 0.54 delta LDL-C (mmol/L) Post-treatment 10-yr risk in those aged ≥40 years = Baseline Risk (ACC/AHA Pooled Cohort) x 0.72 delta LDL-C (mmol/L) To convey CHD risk and treatment benefit, we developed a DA using an iterative, patient-centered design process for use in FH encounters. Results: Using the DA, providers can discuss baseline CHD risk estimates, lipid lowering drug (LLD) options and the expected post-treatment risk reduction with FH patients. The estimated % LDL-C reduction for each LLD and the predicted risk reduction per mmol/L of LDL-C lowered were obtained from literature review. Lowering LDL-C by 1 mmol/L (39 mg/dL) was associated with a 28% CHD risk reduction over 10 years and a 46% reduction over 30 years ( Eur Heart J 2017; 38 ). We describe 2 examples of estimating CHD risk and treatment benefit in FH cases in Table 1 . Conclusion: We adapted CHD risk prediction equations to account for family history of CHD and presence of a pathogenic FH variant and designed a DA to convey personalized CHD risk estimates and treatment benefit to facilitate SDM with FH patients.

Objective Shared decision making (SDM) tools can help implement guideline recommendations for patients with atrial fibrillation (AF) considering stroke prevention strategies. We sought to characterize all available SDM tools for this purpose and examine their quality and clinical impact. Methods We searched through multiple bibliographic databases, social media, and an SDM tool repository from inception to May 2020 and contacted authors of identified SDM tools. Eligible tools had to offer information about warfarin and ≥1 direct oral anticoagulant. We extracted tool characteristics, assessed their adherence to the International Patient Decision Aids Standards, and obtained information about their efficacy in promoting SDM. Results We found 14 SDM tools. Most tools provided up-to-date information about the options, but very few included practical considerations (e.g., out-of-pocket cost). Five of these SDM tools, all used by patients prior to the encounter, were tested in trials at high risk of bias and were found to produce small improvements in patient knowledge and reductions in decisional conflict. Conclusion Several SDM tools for stroke prevention in AF are available, but whether they promote high-quality SDM is yet to be known. The implementation of guidelines for SDM in this context requires user-centered development and evaluation of SDM tools that can effectively promote high-quality SDM and improve stroke prevention in patients with AF.

Abstract Purpose: Diabetes care has largely focused on reducing the risk of complications by achieving hemoglobin A1c (HbA1c) targets; yet, whole-person care may be more effective and desirable. We sought to determine the nature of discussions about quality of life, burden of treatment, hypoglycemia, sexual function, and social support during diabetes-focused clinical encounters.Methods: We analyzed 41 previously recorded clinical encounters with patients with type 2 diabetes from the control arms of practice-based trials of shared decision making. Two coders evaluated videos for discussions about aspects of life with diabetes: quality of life, burden of treatment, hypoglycemia, sexual function, and social supports. When an aspect was raised, coders evaluated the nature of the conversation, clinician responses, and time spent on discussing the aspect. Results: Median length of the encounter was 15 minutes, 6 seconds (IQR: 11:16 – 20:23 minutes). Thirty five of 41 encounters (85.4%), included some discussion of quality of life (58.5%), burden of treatment (51.2%), social support (2.4%), or hypoglycemia (9.8%). Sexual function was not discussed. On average, 4.5% (1.4%-5.5%) of the encounter time involved conversations about HbA1c whereas 15.0% (0%-25%) of the encounter was spent on some aspect of quality of life, burden of treatment, social support, or hypoglycemia. If a topic related to quality of life was raised, clinicians most often responded by acknowledging patient’s concern without providing a solution (45.8%). Conclusions: A significant part of the patient-clinician encounter involves discussion of quality of life and burden of treatment, but clinicians rarely address these issues by providing solutions.

335 Background: Systematic reviews are outdated quickly when the evidence is rapidly evolving as the process is laborious and there is little incentive for primary author team of an index SRMA to update the evidence. Consequently, there is an epidemic of redundant SRMAs performed by different teams—sometimes with conflicted results—for treatment of first line mRCC. Methods: We have created a living, interactive systematic review (LISR)and network meta-analysis(LINMA) for the treatment of first line mRCC using an Artificial intelligence (AI) assisted framework for evidence synthesis (Living, Interactive evidence synthesis framework) (LIvE) . The framework is implemented in five-layered architecture (application layer, shared module layer, core service layer, middleware layer, and storage layer) which work together to automate the identification of new studies and analysis and semi-automate the screening and data extraction. Dynamic features such as interactive tables, figures and evidence maps are enabled using Python and JavaScript programming languages. Results: We have maintained a living, interactive evidence profile for the first line treatment mRCC since September 2019 ( LIVING WEBSITE) . Living search strategy identifies new studies as they become available. As of October 13, 2020 LISR, includes data 14 clinical trials ( PRISMA ). Baseline characteristics are summarized in an interactive table ( TABLE) . Cabozantinib& Nivolumab (Cabo-Nivo) is the highest ranked drug for improving Overall Response (OR), Progression Free Survival (PFS) and Overall Survival (OS) whereas Ipilimumab in combination with Nivolumab (Ipi-Nivo) is highest ranked drug for achieving complete response (CR). Ipi-Nivo and Atezolizumab & Bevacizumab (Ate-Bev) ranked highest and Cabo-Nivo ranked lowest for treatment related Adverse events (TRAEs). Results of network meta-analysis are summarized as interactive tables and plots ( NMA ), summary of findings tables ( MULTIPLE COMAPRISONS ) and evidence maps ( MAP ). Conclusions: LISRs can potentially reduce redundancy, increase transparency, reproducibility, enable shared-decision making (at a guideline level, or in a patient-clinician dyad) and support living guidelines.

Background There has been limited research on the positive aspects of physician wellness and to our knowledge there have been no validity studies on measures of resilience and grit among internal medicine (IM) residents. Objectives To investigate the validity of resilience (10 items Connor-Davidson Resilience Scale (CD-RISC 10)) and grit (Short Grit Scale (GRIT-S)) scores among IM residents at a large academic centre, and assess potential associations with previously validated measures of medical knowledge, clinical performance and professionalism. Methods We evaluated CD-RISC 10 and GRIT-S instrument scores among IM residents at the Mayo Clinic Rochester, Minnesota between July 2017 and June 2019. We analysed dimensionality, internal consistency reliability and criterion validity in terms of relationships between resilience and grit, with standardised measures of residents’ medical knowledge (in-training examination (ITE)), clinical performance (faculty and peer evaluations and Mini-Clinical Evaluation Examination (mini-CEX)) and professionalism/dutifulness (conference attendance and evaluation completion). Results A total of 213 out of 253 (84.2%) survey-eligible IM residents provided both CD-RISC 10 and GRIT-S survey responses. Internal consistency reliability (Cronbach alpha) was excellent for CD-RISC 10 (0.93) and GRIT-S (0.82) overall, and for the GRIT subscales of consistency of interest (0.84) and perseverance of effort (0.71). CD-RISC 10 scores were negatively associated with ITE percentile (β=−3.4, 95% CI −6.2 to −0.5, p=0.02) and mini-CEX (β=−0.2, 95% CI −0.5 to −0.02, p=0.03). GRIT-S scores were positively associated with evaluation completion percentage (β=2.51, 95% CI 0.35 to 4.67, p=0.02) and conference attendance (β=2.70, 95% CI 0.11 to 5.29, p=0.04). Conclusions This study revealed favourable validity evidence for CD-RISC 10 and GRIT-S among IM residents. Residents demonstrated resilience within a competitive training environment despite less favourable test performance and grittiness that was manifested by completing tasks. This initial validity study provides a foundation for further research on resilience and grit among physicians in training.