The association of pre-cancer diagnosis cardiovascular risk factors with memory aging after a cancer diagnosis, overall and by race/ethnicity.

PURPOSE: Cardiovascular risk factors (CVRFs) are associated with increased risk for cognitive impairment and decline in the general population, but less is known about how CVRFs might influence cognitive aging among older cancer survivors. We aimed to determine how CVRFs prior to a cancer diagnosis affect post-cancer diagnosis memory aging, compared to cancer-free adults, and by race/ethnicity. METHODS: Incident cancer diagnoses and memory (immediate and delayed recall) were assessed biennially in the US Health and Retirement Study (N = 5,736, 1998-2018). CVRFs measured at the wave prior to a cancer diagnosis included self-reported cigarette smoking, obesity, diabetes, heart disease, hypertension, and stroke. Multivariable-adjusted linear mixed-effects models evaluated the rate of change in standardized memory score (SD/decade) post-cancer diagnosis for those with no, medium, and high CVRFs, compared to matched cancer-free adults, overall and stratified by sex and race/ethnicity. RESULTS: Higher number of CVRFs was associated with worse baseline memory for both men and women, regardless of cancer status. Cancer survivors with medium CVRFs had slightly slower rates of memory decline over time relative to cancer-free participants (0.04 SD units/decade [95% CI: 0.001, 0.08]). Non-Hispanic Black (NHB) and Hispanic cancer-free participants and cancer survivors had worse baseline memory than their Non-Hispanic White (NHW) counterparts. CONCLUSIONS: CVRFs were associated with worse baseline memory function, but not decline, for cancer-free adults and cancer survivors. Racial disparities were largely similar between cancer survivors and cancer-free adults. IMPLICATIONS FOR CANCER SURVIVORS: These findings may inform hypotheses about pre-diagnosis multimorbidity and cognitive aging of cancer survivors from diverse groups.

Addressing the Nursing Workforce Crisis Through Nurse-Physician Collaboration.

This Viewpoint explores root causes of the nurse staffing shortages in the US and proposes solutions that involve physicians.

The Acceptance and Use of Digital Technologies for Self-Reporting Medication Safety Events After Care Transitions to Home in Patients With Cancer: Survey Study.

BACKGROUND: Actively engaging patients with cancer and their families in monitoring and reporting medication safety events during care transitions is indispensable for achieving optimal patient safety outcomes. However, existing patient self-reporting systems often cannot address patients' various experiences and concerns regarding medication safety over time. In addition, these systems are usually not designed for patients' just-in-time reporting. There is a significant knowledge gap in understanding the nature, scope, and causes of medication safety events after patients' transition back home because of a lack of patient engagement in self-monitoring and reporting of safety events. The challenges for patients with cancer in adopting digital technologies and engaging in self-reporting medication safety events during transitions of care have not been fully understood. OBJECTIVE: We aim to assess oncology patients' perceptions of medication and communication safety during care transitions and their willingness to use digital technologies for self-reporting medication safety events and to identify factors associated with their technology acceptance. METHODS: A cross-sectional survey study was conducted with adult patients with breast, prostate, lung, or colorectal cancer (N=204) who had experienced care transitions from hospitals or clinics to home in the past 1 year. Surveys were conducted via phone, the internet, or email between December 2021 and August 2022. Participants' perceptions of medication and communication safety and perceived usefulness, ease of use, attitude toward use, and intention to use a technology system to report their medication safety events from home were assessed as outcomes. Potential personal, clinical, and psychosocial factors were analyzed for their associations with participants' technology acceptance through bivariate correlation analyses and multiple logistic regressions. RESULTS: Participants reported strong perceptions of medication and communication safety, positively correlated with medication self-management ability and patient activation. Although most participants perceived a medication safety self-reporting system as useful (158/204, 77.5%) and easy to use (157/204, 77%), had a positive attitude toward use (162/204, 79.4%), and were willing to use such a system (129/204, 63.2%), their technology acceptance was associated with their activation levels (odds ratio [OR] 1.83, 95% CI 1.12-2.98), their perceptions of communication safety (OR 1.64, 95% CI 1.08-2.47), and whether they could receive feedback after self-reporting (OR 3.27, 95% CI 1.37-7.78). CONCLUSIONS: In general, oncology patients were willing to use digital technologies to report their medication events after care transitions back home because of their high concerns regarding medication safety. As informed and activated patients are more likely to have the knowledge and capability to initiate and engage in self-reporting, developing a patient-centered reporting system to empower patients and their families and facilitate safety health communications will help oncology patients in addressing their medication safety concerns, meeting their care needs, and holding promise to improve the quality of cancer care.

To weight or not to weight? Studying the effect of selection bias in three large EHR-linked biobanks.

Objective: To explore the role of selection bias adjustment by weighting electronic health record (EHR)-linked biobank data for commonly performed analyses. Materials and methods: We mapped diagnosis (ICD code) data to standardized phecodes from three EHR-linked biobanks with varying recruitment strategies: All of Us (AOU; n=244,071), Michigan Genomics Initiative (MGI; n=81,243), and UK Biobank (UKB; n=401,167). Using 2019 National Health Interview Survey data, we constructed selection weights for AOU and MGI to be more representative of the US adult population. We used weights previously developed for UKB to represent the UKB-eligible population. We conducted four common descriptive and analytic tasks comparing unweighted and weighted results. Results: For AOU and MGI, estimated phecode prevalences decreased after weighting (weighted-unweighted median phecode prevalence ratio [MPR]: 0.82 and 0.61), while UKB's estimates increased (MPR: 1.06). Weighting minimally impacted latent phenome dimensionality estimation. Comparing weighted versus unweighted PheWAS for colorectal cancer, the strongest associations remained unaltered and there was large overlap in significant hits. Weighting affected the estimated log-odds ratio for sex and colorectal cancer to align more closely with national registry-based estimates. Discussion: Weighting had limited impact on dimensionality estimation and large-scale hypothesis testing but impacted prevalence and association estimation more. Results from untargeted association analyses should be followed by weighted analysis when effect size estimation is of interest for specific signals. Conclusion: EHR-linked biobanks should report recruitment and selection mechanisms and provide selection weights with defined target populations. Researchers should consider their intended estimands, specify source and target populations, and weight EHR-linked biobank analyses accordingly.

Registered Nurses' Well-Being, Michigan, 2022.

Objectives. To examine nurses' well-being and identify individual and workplace factors associated with adverse outcomes. Methods. We administered an e-mail survey to registered nurses in Michigan in March 2022. Outcomes included the Oldenburg Burnout Inventory-Exhaustion scale, self-harm thoughts (yes/no), and overall wellness on a 0 to 10 visual analog scale. Covariates included practice environment, psychological safety, workplace abuse, staffing adequacy, stress coping strategies, and demographics. We examined associations between covariates and exhaustion, thoughts of self-harm (both via logistic regression), and overall wellness (via linear regression). Results. Among surveyed nurses, 93.63% reported significant exhaustion, 9.88% reported self-harm thoughts, and the mean (SD) overall wellness score was 6.2 (2.3). Factors associated with exhaustion included inadequate staffing, lower psychological safety, and younger age. Factors associated with self-harm thoughts included recent workplace physical abuse and younger age. Factors associated with higher wellness scores included employer support, favorable practice environments, higher job satisfaction, and positive coping strategies. Conclusions. Negative well-being outcomes were prevalent among registered nurses and were associated with correctable workplace deficits. Nurses' well-being is a national public health problem that warrants comprehensive interventions at individual, workplace, and community levels. (Am J Public Health. 2024;114(S2):S180-S188. https://doi.org/10.2105/AJPH.2023.307376).

The impact of cancer metastases on COVID-19 outcomes: A COVID-19 and Cancer Consortium registry-based retrospective cohort study.

BACKGROUND: COVID-19 can have a particularly detrimental effect on patients with cancer, but no studies to date have examined if the presence, or site, of metastatic cancer is related to COVID-19 outcomes. METHODS: Using the COVID-19 and Cancer Consortium (CCC19) registry, the authors identified 10,065 patients with COVID-19 and cancer (2325 with and 7740 without metastasis at the time of COVID-19 diagnosis). The primary ordinal outcome was COVID-19 severity: not hospitalized, hospitalized but did not receive supplemental O2 , hospitalized and received supplemental O2 , admitted to an intensive care unit, received mechanical ventilation, or died from any cause. The authors used ordinal logistic regression models to compare COVID-19 severity by presence and specific site of metastatic cancer. They used logistic regression models to assess 30-day all-cause mortality. RESULTS: Compared to patients without metastasis, patients with metastases have increased hospitalization rates (59% vs. 49%) and higher 30 day mortality (18% vs. 9%). Patients with metastasis to bone, lung, liver, lymph nodes, and brain have significantly higher COVID-19 severity (adjusted odds ratios [ORs], 1.38, 1.59, 1.38, 1.00, and 2.21) compared to patients without metastases at those sites. Patients with metastasis to the lung have significantly higher odds of 30-day mortality (adjusted OR, 1.53; 95% confidence interval, 1.17-2.00) when adjusting for COVID-19 severity. CONCLUSIONS: Patients with metastatic cancer, especially with metastasis to the brain, are more likely to have severe outcomes after COVID-19 whereas patients with metastasis to the lung, compared to patients with cancer metastasis to other sites, have the highest 30-day mortality after COVID-19.

Patient symptoms, self-management, and unscheduled healthcare use during the first 6 months of targeted oral anticancer agent therapy: protocol for a mixed-methods US study.

INTRODUCTION: Targeted oral anticancer agents (OAAs) are increasingly used to treat cancer, including haematological malignancies and ovarian cancer, but they can cause serious symptomatic side effects such as arrhythmias, hypertension, and hyperglycaemia. Unaddressed OAA symptoms or inadequately managed symptoms may also lead to unnecessary and unscheduled healthcare use that decreases patient quality of life and financially burdens both patients and the healthcare system. Limited information is available about patient symptoms, self-management behaviours, and use of healthcare services over time while taking targeted OAAs, but is needed to ensure successful OAA therapy. The primary objective is to understand patient experiences and behaviours on initiating targeted OAA, and elicit cancer care clinicians' (ie, physicians, advanced practice practitioners, nurses, and pharmacists) perspectives on supporting patients during therapy. Study results will inform comprehensive and realistic interventions that minimise disruptions to therapy while maximising quality of life. METHODS AND ANALYSIS: We will conduct a remote single-arm, convergent-parallel mixed-methods cohort study within a large academic medical centre. A minimum of 60 patients will be enrolled. Patients will complete several validated patient-reported outcome measures at six timepoints over 6 months. Mixed-effects logistic regression will be used to predict the primary binary outcome of unscheduled healthcare use by patient self-efficacy for symptom self-management. Semistructured interviews will be conducted with patients and clinicians and thematically analysed. Triangulated quantitative and qualitative results will be reported using cross-case comparison joint display. ETHICS AND DISSEMINATION: This study protocol is approved by the Institutional Review Board of University of Michigan Medical School (IRBMED). Study results will be published in peer-reviewed journals, presented at conferences, and disseminated to study participants.

Nurses' Perceptions of Licensure Compact Legislation to Facilitate Interstate Practice: Results From the 2022 Michigan Nurses' Study.

States are struggling to assure an adequate number of registered nurses are active in the clinical workforce to serve patients and communities. Nurse compact legislation-enacted in 39 states-facilitates interstate recognition of nurse licensure. We used a cross-sectional email survey of registered nurses in Michigan to measure their opinions on compact licensure legislation and examined differences in compact licensure opinions by nurses' personal characteristics. Primary analyses reported herein are from 7,098 Michigan nurses with complete data. Most respondents felt that the compact would make it easier to redeploy nurses in an emergency (76.6%), improve access to nursing care (66.6%), and boost their personal career options (55.1%). Most nurses disagreed that compact legislation would weaken patient protections (60.7%). The majority expressed neutral feelings on whether compact licensure would make disciplinary actions more difficult to enforce (50.9%) and a plurality that current licensure policies were satisfactory (44.0%). The majority were supportive of Michigan joining the compact (72.3%). In multivariable analysis, stronger support for joining the compact was associated with advanced degrees, male sex, and younger age. Less support was associated with membership in a collective bargaining unit. Policymakers who wish to ease acute nurse vacancies should consider enacting nurse licensure compact legislation. Careful attention to patient protections and disciplinary review would address potential safety concerns.

Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm.

BACKGROUND: Post-Acute Sequelae of COVID-19 (PASC) have emerged as a global public health and healthcare challenge. This study aimed to uncover predictive factors for PASC from multi-modal data to develop a predictive model for PASC diagnoses. METHODS: We analyzed electronic health records from 92,301 COVID-19 patients, covering medical phenotypes, medications, and lab results. We used a Super Learner-based prediction approach to identify predictive factors. We integrated the model outputs into individual and composite risk scores and evaluated their predictive performance. RESULTS: Our analysis identified several factors predictive of diagnoses of PASC, including being overweight/obese and the use of HMG CoA reductase inhibitors prior to COVID-19 infection, and respiratory system symptoms during COVID-19 infection. We developed a composite risk score with a moderate discriminatory ability for PASC (covariate-adjusted AUC (95% confidence interval): 0.66 (0.63, 0.69)) by combining the risk scores based on phenotype and medication records. The combined risk score could identify 10% of individuals with a 2.2-fold increased risk for PASC. CONCLUSIONS: We identified several factors predictive of diagnoses of PASC and integrated the information into a composite risk score for PASC prediction, which could contribute to the identification of individuals at higher risk for PASC and inform preventive efforts.

Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study.

Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. Results: 1383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32-1.67]); Black patients (aOR 1.74; 95 CI 1.24-2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70-6.79) and Other (aOR 2.97; 95 CI 1.71-5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83-12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63-3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20-2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66-3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89-22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status. Conclusions: Using one of the largest registries on cancer and COVID-19, we identified patient and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to non-Hispanic White patients. Funding: This study was partly supported by National Cancer Institute grant number P30 CA068485 to Tianyi Sun, Sanjay Mishra, Benjamin French, Jeremy L Warner; P30-CA046592 to Christopher R Friese; P30 CA023100 for Rana R McKay; P30-CA054174 for Pankil K Shah and Dimpy P Shah; KL2 TR002646 for Pankil Shah and the American Cancer Society and Hope Foundation for Cancer Research (MRSG-16-152-01-CCE) and P30-CA054174 for Dimpy P Shah. REDCap is developed and supported by Vanderbilt Institute for Clinical and Translational Research grant support (UL1 TR000445 from NCATS/NIH). The funding sources had no role in the writing of the manuscript or the decision to submit it for publication. Clinical trial number: CCC19 registry is registered on ClinicalTrials.gov, NCT04354701.

Photo elicitation, an approach to better understanding the patient experience with OAAs: pilot study and future implications.

PURPOSE: Oral anti-cancer agents (OAAs) represent a new frontier in cancer treatment, but we do not know how well patients incorporate the strategies that they are taught for managing the side effects of OAAs into their daily lives. The purpose of this study was to understand how OAA side effects influenced patients' lives and what strategies patients used to manage them. METHODS: The study used an interpretive descriptive design utilizing photo elicitation interviews (PEI). Two pharmacists employed at the study ambulatory oncology clinic assisted with recruitment. Participants took photos and subsequent interviews focused on talking to participants about each photo, eliciting participant perspectives describing side effects of OAAs and management strategies. A directed content analysis approach was used to analyze the transcribed interviews. RESULTS: A total of nine participants were included in the study. Three themes and associated sub-themes emerged: making changes to nutritional habits due to OAA side effects (hydration and food), strategies to alleviate OAA side effects (medication and non-medication related), and methods of coping with OAA effects (intra- and interpersonal). Changing nutritional habits was an important strategy to manage OAA side effects. Medication-related strategies to alleviate OAA side effects could be nuanced and, additionally, there was wide variability in coping methods used. CONCLUSION: Patient education on OAAs and side effects is not always tailored to each unique patient and their circumstances. This study uncovered how participants devised their own distinct strategies to prevent or manage OAA side effects in an effort to help improve patients' experiences when taking OAAs.

Development and Evaluation of a Data-Driven, Interactive Workshop to Facilitate Communication and Teamwork in Ambulatory Medical Oncology Settings.

Background: While adverse events and toxicities related to cancer drug therapy in the ambulatory oncology setting are common and often rooted in communication challenges, few studies have examined the problems of communication or tested tools to improve communication in this unique, high-risk setting. Objective: To determine the feasibility and acceptability of a virtual interdisciplinary communication Workshop designed to strengthen communication across ambulatory oncology teams members. Methods: Surveys of patients and clinicians in one ambulatory oncology clinic were analyzed and informed the communication intervention: an interdisciplinary virtual Workshop. Workshop evaluation included an implementation survey measure and a structured debrief with Workshop attendees. Results: 87 patients and 56 clinicians participated in pre-workshop surveys that revealed patient satisfaction with timely care and information, yet a range of rating communication experiences with the clinical team, and clinicians perceiving a high amount of organizational safety, yet rated discussion of alternatives to normal work processes low. Survey results guided reflection and discussion within the Workshop. Six clinicians participated in the interactive Workshop. Feasibility and acceptability of the virtual Workshop were supported by formative and summative data, along with suggestions for improvement. Conclusions: The patient and clinician surveys coupled with an interactive virtual Workshop were feasible and acceptable. Implications for Practice: The Workshop identified opportunities for individual- and system-level improvements in clinical team communication. This promising strategy requires replication in larger, diverse practice samples. Foundational: Clinicians accepted an interactive workshop that incorporated clinic-specific data and communication strategies. The program is feasible and acceptable in ambulatory oncology settings.

Barriers, facilitators, and recommendations for sexual orientation and gender identity data collection in community oncology practices.

BACKGROUND: Sexual orientation and gender identity (SOGI) data collection in community oncology practices is critical to identify and address cancer inequities, but less than 20% of NCI Community Oncology Research Program (NCORP)-affiliated practices regularly collect SOGI data despite widespread recommendations. We evaluated multilevel barriers and facilitators for SOGI data collection at NCORP practices. METHODS: We conducted 14 semi-structured interviews at seven purposefully sampled NCORP oncology practices. We interviewed one clinician (oncologist, advanced practice provider) and one clinic staff member per practice. Thematic analysis informed by the Consolidated Framework for Implementation Research (CFIR) was conducted to identify barriers and facilitators. RESULTS: Thematic saturation occurred after interviews at six practices and was confirmed with interviews at an additional practice. Participants highlighted multilevel barriers including low levels of understanding, information technology infrastructure, and perceived low relative priority. Not understanding the role of SOGI data in oncology care contributed to cis-heteronormative culture. At the clinic level, this culture coincided with a lack of processes and policies for collecting SOGI from all patients. At the care team level, perceived irrelevance to oncology care was related to discomfort asking SOGI, fear of patient discomfort, and limited awareness of SOGI in electronic health records. Suggested solutions included: normalizing asking SOGI questions, giving patients privacy to complete SOGI, and clarifying clinical relevance. CONCLUSIONS: SOGI data collection barriers stemmed from perceptions that SOGI disclosure does not influence care quality. Oncology teams may benefit from training on culturally sensitive SOGI collection, education on SOGI data relevance to oncology practices, and support for implementing SOGI data collection policies.

Systemic Anticancer Therapy and Thromboembolic Outcomes in Hospitalized Patients With Cancer and COVID-19.

Importance: Systematic data on the association between anticancer therapies and thromboembolic events (TEEs) in patients with COVID-19 are lacking. Objective: To assess the association between anticancer therapy exposure within 3 months prior to COVID-19 and TEEs following COVID-19 diagnosis in patients with cancer. Design, Setting, and Participants: This registry-based retrospective cohort study included patients who were hospitalized and had active cancer and laboratory-confirmed SARS-CoV-2 infection. Data were accrued from March 2020 to December 2021 and analyzed from December 2021 to October 2022. Exposure: Treatments of interest (TOIs) (endocrine therapy, vascular endothelial growth factor inhibitors/tyrosine kinase inhibitors [VEGFis/TKIs], immunomodulators [IMiDs], immune checkpoint inhibitors [ICIs], chemotherapy) vs reference (no systemic therapy) in 3 months prior to COVID-19. Main Outcomes and Measures: Main outcomes were (1) venous thromboembolism (VTE) and (2) arterial thromboembolism (ATE). Secondary outcome was severity of COVID-19 (rates of intensive care unit admission, mechanical ventilation, 30-day all-cause mortality following TEEs in TOI vs reference group) at 30-day follow-up. Results: Of 4988 hospitalized patients with cancer (median [IQR] age, 69 [59-78] years; 2608 [52%] male), 1869 had received 1 or more TOIs. Incidence of VTE was higher in all TOI groups: endocrine therapy, 7%; VEGFis/TKIs, 10%; IMiDs, 8%; ICIs, 12%; and chemotherapy, 10%, compared with patients not receiving systemic therapies (6%). In multivariable log-binomial regression analyses, relative risk of VTE (adjusted risk ratio [aRR], 1.33; 95% CI, 1.04-1.69) but not ATE (aRR, 0.81; 95% CI, 0.56-1.16) was significantly higher in those exposed to all TOIs pooled together vs those with no exposure. Among individual drugs, ICIs were significantly associated with VTE (aRR, 1.45; 95% CI, 1.01-2.07). Also noted were significant associations between VTE and active and progressing cancer (aRR, 1.43; 95% CI, 1.01-2.03), history of VTE (aRR, 3.10; 95% CI, 2.38-4.04), and high-risk site of cancer (aRR, 1.42; 95% CI, 1.14-1.75). Black patients had a higher risk of TEEs (aRR, 1.24; 95% CI, 1.03-1.50) than White patients. Patients with TEEs had high intensive care unit admission (46%) and mechanical ventilation (31%) rates. Relative risk of death in patients with TEEs was higher in those exposed to TOIs vs not (aRR, 1.12; 95% CI, 0.91-1.38) and was significantly associated with poor performance status (aRR, 1.77; 95% CI, 1.30-2.40) and active/progressing cancer (aRR, 1.55; 95% CI, 1.13-2.13). Conclusions and Relevance: In this cohort study, relative risk of developing VTE was high among patients receiving TOIs and varied by the type of therapy, underlying risk factors, and demographics, such as race and ethnicity. These findings highlight the need for close monitoring and perhaps personalized thromboprophylaxis to prevent morbidity and mortality associated with COVID-19-related thromboembolism in patients with cancer.

A descriptive study of policy and system-level interventions to address cancer survivorship issues across six United States health systems.

PURPOSE: To describe policy and system-level interventions with potential to improve cancer care at six sites. METHODS: In 2016, six institutions received foundation support to develop unique multi-component interventions aimed at improving cancer care for underserved populations. These organizations, located across the United States, participated in a cross-site evaluation to assess the overall initiative impact and to identify potentially promising policy and system-level solutions for dissemination and broader implementation. A health system and policy tracking tool was developed to collect data from each site and included a description of their efforts, strategies employed, and changes achieved (e.g., new policies, clinical protocols). Tracking tool data were analyzed using rapid qualitative analyses and a matrix approach. Semi-structured interviews were conducted with site leaders (N = 65) and were analyzed by thematic analysis. RESULTS: Sites reported 20 system and policy efforts, which resulted in improvements to electronic health records and telehealth strategies, changes to hospital/health system policies, and standardized clinical protocols/guidelines, among others. Efforts were aimed at: (1) coordinating care across multiple providers, supported by patient navigators; (2) expanding psychosocial and supportive care; (3) improving patient-provider communication; and (4) addressing barriers to accessing care. Interview analyses provided insights into successful strategies, challenges, and implications of the COVID-19 pandemic on cancer care. CONCLUSIONS AND IMPLICATIONS FOR CANCER SURVIVORS: Despite advances in diagnosis and treatment, cancer care remains inequitable. System-level improvements aimed at eliminating common barriers faced by underserved populations offer opportunities to improve the delivery of equitable, effective, and efficient care.

Development, Feasibility, and Acceptability of an Oncologist Group Peer Support Program From ASCO's Clinician Well-Being Task Force.

PURPOSE: The COVID-19 pandemic has had deleterious effects on oncologist professional and personal well-being, the optimal delivery of quality cancer care, and the future cancer care workforce, with many departing the field. Hence, the identification of evidence-based approaches to sustain oncologists is essential to promote well-being. MATERIALS AND METHODS: We developed a brief, oncologist-centered, virtual group peer support program and tested its feasibility, acceptability, and preliminary impact on well-being. Trained facilitators provided support to peers on the basis of burnout research in oncology with available resources to enhance oncologist resilience. Peers completed pre- and postsurvey assessment of well-being and satisfaction. RESULTS: From April to May 2022, 11 of 15 (73%) oncologists participated in its entirety: mean age 51.1 years (range, 33-70), 55% female, 81.8% Ca, 82% medical oncologists, 63.6% trained ≥15 years, average 30.3 patients/wk (range, 5-60), and 90.9% employed in hospital/health system practice. There was a statistically significant difference in pre- and postintervention well-being (7.0 ± 3.6 v 8.2 ± 3.0, P = .03) with high satisfaction with postgroup experience (9.1 ± 2.5). These quantitative improvements were affirmed by qualitative feedback. These themes included (1) an enhanced understanding of burnout in oncology, (2) shared experience in practice of oncology, and (3) fostering connections with diverse colleagues. Future recommendations proposed included (1) restructuring group format and (2) tailoring groups according to practice setting (academic v community). CONCLUSION: Preliminary results suggest that a brief, innovative oncologist-tailored group peer support program is feasible, acceptable, and beneficial for enhancing well-being dimensions including burnout, engagement, and satisfaction. Additional study is required to refine program components (optimal timing, format) to support oncologist well-being, now during the pandemic and well into recovery.

Clinical Characteristics, Racial Inequities, and Outcomes in Patients with Breast Cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) Cohort Study.

Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. Results: 1,383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32 - 1.67]); Black patients (aOR 1.74; 95 CI 1.24-2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70 - 6.79) and Other (aOR 2.97; 95 CI 1.71-5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83 - 12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63 - 3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20 - 2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66 - 3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89 - 22.6]). Hispanic ethnicity, timing and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status. Conclusions: Using one of the largest registries on cancer and COVID-19, we identified patient and BC related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to Non-Hispanic White patients.

Patterns and Correlates of Nurse Departures From the Health Care Workforce: Results From a Statewide Survey.

BACKGROUND: Health care executives and policymakers have raised concerns about the adequacy of the US nursing workforce to meet service demands. Workforce concerns have risen given the SARS-CoV-2 pandemic and chronically poor working conditions. There are few recent studies that directly survey nurses on their work plans to inform possible remedies. METHODS: In March 2022, 9150 nurses with a Michigan license completed a survey on their plans to leave their current nursing position, reduce their hours, or pursue travel nursing. Another 1224 nurses who left their nursing position within the past 2 years also reported their reasons for departure. Logistic regression models with backward selection procedures estimated the effects of age, workplace concerns, and workplace factors on the intent to leave, hour reduction, pursuit of travel nursing (all within the next year), or departure from practice within the past 2 years. RESULTS: Among practicing nurses surveyed, 39% intended to leave their position in the next year, 28% planned to reduce their clinical hours, and 18% planned to pursue travel nursing. Top-ranked workplace concerns among nurses were adequate staffing, patient safety, and staff safety. The majority of practicing nurses (84%) met the threshold for emotional exhaustion. Consistent factors associated with adverse job outcomes include inadequate staffing and resource adequacy, exhaustion, unfavorable practice environments, and workplace violence events. Frequent use of mandatory overtime was associated with a higher likelihood of departure from the practice in the past 2 years (Odds Ratio 1.72, 95% CI 1.40-2.11). CONCLUSIONS: The factors associated with adverse job outcomes among nurses-intent to leave, reduced clinical hours, travel nursing, or recent departure-consistently align with issues that predated the pandemic. Few nurses cite COVID as the primary cause for their planned or actual departure. To maintain an adequate nursing workforce in the United States, health systems should enact urgent efforts to reduce overtime use, strengthen work environments, implement anti-violence protocols, and ensure adequate staffing to meet patient care needs.

Reaching Populations to Address Disparities in Cancer Care Delivery: Results From a Six-Site Initiative.

BACKGROUND: Large segments of the US population do not receive quality cancer care due to pervasive and systemic inequities, which can increase morbidity and mortality. Multicomponent, multilevel interventions can address inequities and improve care, but only if they reach communities with suboptimal access. Intervention studies often underenroll individuals from historically excluded groups. METHODS: The Alliance to Advance Patient-Centered Cancer Care includes 6 grantees across the United States who implemented unique multicomponent, multilevel intervention programs with common goals of reducing disparities, increasing engagement, and improving the quality of care for targeted populations. The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework informed the evaluation efforts across sites. Each Alliance site identified their intended populations, which included underrepresented minorities (eg, Black and Latinx persons), individuals who prefer a language other than English, and rural residents. We evaluated the demographic characteristics of participants to determine program reach. RESULTS: Between 2018 and 2020, a total of 2,390 of 5,309 potentially eligible participants were enrolled across the 6 sites. The proportion of enrolled individuals with selected characteristics included 38% (n=908) Black adults, 24% (n=574) Latinx adults, 19% (n=454) preferring a language other than English, and 30% (n=717) rural residents. The proportion of those enrolled who were the intended population was commensurate to the proportion with desired characteristics in those identified as potentially eligible. CONCLUSIONS: The grantees met or exceeded enrollments from their intended populations who have been underserved by quality cancer care into patient-centered intervention programs. Intentional application of recruitment/engagement strategies is needed to reach individuals from historically underserved communities.