Citations

Background: In response to encounters involving misconduct, discrimination, and harassment toward healthcare workers, the Experience Training, Education, and Coaching (XTEC) team was tasked with empowering staff members to respond to biased requests and misconduct appropriately and consistently. The aim of this article is to discuss communication strategies for how to respond to patient bias and misconduct. Methods: XTEC developed a training program with two focused communication strategies: (1) SAFER, a stepped approach to respond to patient and visitor misconduct and (2) ASAP, an approach for responding to patient bias which we describe as requests related to race, religion, ethnicity, gender, and other personal attributes of staff. Intervention: SAFER ASAP workshops were delivered to 2154 health care professionals through 109 face-to-face training over a 15-month period between January 2019 and March 2020. All trainings were discussion- and scenario-based, ranging in duration from 60 to 90 min. Participants were given pre- and post-training test case scenarios, in which respondents wrote responses to a challenging behavior to assess skill attainment post-training. Results:Seventy-one percent demonstrated higher levels of response ability post-training, and 92% of respondents indicated they would likely recommend this training to others. Conclusions: SAFER ASAP is an effective communication training program for responding to patient and visitor bias and misconduct.

PURPOSETissue-based next-generation sequencing (NGS) in metastatic breast cancer (mBC) is limited by the inability to noninvasively track tumor evolution. Cell-free DNA (cfDNA) NGS has made sequential testing feasible; however, the relationship between cfDNA and tissue-based testing in mBC is not well understood. Here, we evaluate concordance between tissue and cfDNA NGS relative to cfDNA sampling frequency in a large, clinically annotated mBC data set.METHODSTempus LENS was used to analyze deidentified records of mBC cases with Tempus xT (tissue) and xF (cfDNA) sequencing results. Then, various metrics of concordance were assessed within overlapping probe regions of the tissue and cfDNA assays (104 genes), focusing on pathogenic variants. Variant allele frequencies of discordant and concordant pathogenic variants were also compared. Analyses were stratified by mBC subtype and time between tests.RESULTSRecords from 300 paired tissue and liquid biopsies were analyzed. Median time between tissue and blood collection was 78.5 days (standard deviation = 642.99). The median number of pathogenic variants/patient was one for cfDNA and two for tissue. Across the cohort, 77.8% of pathogenic tissue variants were found in cfDNA and 75.7% of pathogenic cfDNA variants were found in tissue when tests were ≤ 7 days apart, which decreased to 50.3% and 51.8%, respectively, for > 365 days. Furthermore, the median patient-level variant concordance was 67% when tests were ≤7 days apart and 30%-37% when > 30 days. The median variant allele frequencies of discordant variants were generally lower than those of concordant variants within the same time frame.CONCLUSIONWe observed high concordances between tissue and cfDNA results that generally decreased with longer durations between tests. Thus, cfDNA NGS reliably measures tissue genomics and is likely beneficial for longitudinal monitoring of molecular changes in mBC.

5002 Background: In the phase 3 VISION study, gallium (68Ga) gozetotide (68Ga-PSMA-11) PET/CT imaging was used to determine eligibility for lutetium (177Lu) vipivotide tetraxetan (177Lu-PSMA-617). Given that 177Lu-PSMA-617 targets PSMA, we assessed the association between quantitative PSMA imaging parameters and treatment outcomes. Methods: In VISION, adults with mCRPC with ≥ 1 PSMA-positive (+) and no PSMA-negative lesions meeting the exclusion criteria were enrolled. In this sub-study, the association between imaging data from pre-enrollment 68Ga-PSMA-11 PET/CT scans of pts in the 177Lu-PSMA-617 group and clinical outcomes was assessed. Imaging data meeting quality requirements were analyzed for 548/551 pts. PSMA expression was quantified by 5 PET parameters: PSMA+ lesions by region, mean standardized uptake value (SUVmean), maximum SUV (SUVmax), PSMA+ tumor volume, and tumor load (PSMA+ tumor volume × SUVmean). Parameters were extracted from the whole body and 4 regions. Association between PET parameters and radiographic progression-free survival (rPFS; primary objective), overall survival (OS), objective response rate (ORR), and prostate–specific antigen 50 (PSA50) response was assessed. Results: Most pts (92.7%) had PSMA uptake in bone. In both the whole-body and regional analyses, statistically significant associations of PSMA PET parameters to clinical outcomes were observed (whole-body data shown in Table). Higher whole-body SUVmean was associated with improved clinical outcomes; pts in the highest quartile (SUVmean: rPFS, ≥ 10.2; OS, ≥ 9.9) had a median rPFS and OS of 14.1 and 21.4 months, vs 5.8 and 14.5 months for those in the lowest quartile (< 6.0; < 5.7), respectively. Absence of PSMA+ lesions in bone, liver, and lymph node, and lower PSMA+ tumor load, were indicators of good prognosis. Conclusions: Higher SUVmean is strongly associated with improved outcomes with 177Lu-PSMA-617; clinical efficacy for different SUV levels vs the SoC arm is being assessed. Data support use of 68Ga-PSMA-11 PET/CT scan to identify pts who will benefit from PSMA-targeted radioligand therapy.[Table: see text]

OBJECTIVE The coronavirus disease 2019 (COVID-19) pandemic has significantly changed clinical practice across US healthcare. Increased adoption of telemedicine has emerged as an alternative to in-person contact for patient-physician interactions. The aim of this study was to analyze the impact of telemedicine on workflow and care delivery from January 2019 to December 2021 in a neurosurgical department at a quaternary care center. METHODS Prospectively captured data on clinic appointment utilization, duration, and outcomes were queried. Visits were divided into in-person visits and telemedicine appointments, categorized as follow-up visits of previously surgically treated patients, internal consultations, new patient visits, and early postoperative returns after surgery. Appointment volume was compared pre- and postpandemic using March 2020 as the pandemic onset. Clinical efficiency was measured by time to appointment, rate of on-time appointments, proportion of appointments resulting in surgical intervention (surgical yield), and patient-reported satisfaction, the latter measured as the proportion of patients indicating “high likelihood to recommend practice.” RESULTS A total of 54,562 visits occurred, most commonly for follow-up for previously operated patients (51.8%), internal new patient referrals (24.5%), and external new patient referrals (19.8%). Total visit volume was stable pre- to postpandemic (1521.3 vs 1512, p = 0.917). However, in-person visits significantly decreased (1517/month vs 1220/month, p < 0.001), with a nadir in April 2020, while telemedicine appointment utilization increased significantly (0.3% vs 19.1% of all visits). Telemedicine utilization remained stable throughout the 1st calendar year following the pandemic. Telemedicine appointments were associated with shorter time to appointment than in-person visits both before and after the pandemic onset (0–5 days from appointment request: 60% vs 33% vs 29.8%, p < 0.001). Patients had on-time appointments in 87% of telemedicine encounters. Notably, telemedicine appointments resulted in surgery in 31.8% of internal consultations or new patient visits, a significantly lower rate than that for in-person visits (51.8%). After the widespread integration of telemedicine, patient satisfaction for all visits was higher than before the pandemic onset (85.9% vs 88.5%, p = 0.027). CONCLUSIONS Telemedicine use significantly increased following the pandemic onset, compensating for observed decreases in face-to-face visits. Utilization rates have remained stable, suggesting effective integration, and delays between referrals and appointments were lower than for in-person visits. Importantly, telemedicine integration was not associated with a decrease in overall patient satisfaction, although telemedicine appointments had a lower surgical yield. These data suggest that telemedicine smoothened the impact of the pandemic on clinical workflow and helped to maintain continuity and quality of outpatient care.

Abstract Objective The Genomic Medicine Working Group of the National Advisory Council for Human Genome Research virtually hosted its 13th genomic medicine meeting titled “Developing a Clinical Genomic Informatics Research Agenda”. The meeting’s goal was to articulate a research strategy to develop Genomics-based Clinical Informatics Tools and Resources (GCIT) to improve the detection, treatment, and reporting of genetic disorders in clinical settings. Materials and Methods Experts from government agencies, the private sector, and academia in genomic medicine and clinical informatics were invited to address the meeting's goals. Invitees were also asked to complete a survey to assess important considerations needed to develop a genomic-based clinical informatics research strategy. Results Outcomes from the meeting included identifying short-term research needs, such as designing and implementing standards-based interfaces between laboratory information systems and electronic health records, as well as long-term projects, such as identifying and addressing barriers related to the establishment and implementation of genomic data exchange systems that, in turn, the research community could help address. Discussion Discussions centered on identifying gaps and barriers that impede the use of GCIT in genomic medicine. Emergent themes from the meeting included developing an implementation science framework, defining a value proposition for all stakeholders, fostering engagement with patients and partners to develop applications under patient control, promoting the use of relevant clinical workflows in research, and lowering related barriers to regulatory processes. Another key theme was recognizing pervasive biases in data and information systems, algorithms, access, value, and knowledge repositories and identifying ways to resolve them.