The landscape of use of NCCN-guideline chemotherapy regimens in stage I-IIIA breast cancer in an integrated healthcare delivery system.

PURPOSE: The National Comprehensive Cancer Network (NCCN) guidelines recommend a variety of drug combinations with specific administration schedules for the treatment of early-stage breast cancer, allowing physicians to deliver treatments recognizing individual patient complexities, including comorbidities, and patient-physician preference. While use of guideline regimens has shifted over time, there is little data to describe changes in how treatment for early-stage breast cancer has evolved over time. METHODS: In a cohort of 34,109 women treated for stage I-IIIA breast cancer between 2006-2019 at Kaiser Permanente Northern California and Kaiser Permanente Washington, we present the changes in chemotherapy regimens over time, and explore use of NCCN-guideline regimens (GR), guideline regimens used when said regimens were not included in guidelines, referred to as time-discordant regimens (TDR), and non-guideline regimens (NGR). Results are presented by drug combination and over time. RESULTS: Among 12,506 women receiving chemotherapy, 77.4% (n = 9681) received GRs, 9.1% (n = 1140) received TDRs, and 13.5% (n = 1685) received NGRs. In 2006, AC-T (cyclophosphamide-doxorubicin, paclitaxel) was the most common regimen, with TC (cyclophosphamide-docetaxel) becoming the most prevalent by 2019. NGRs were more common in cyclophosphamide-methotrexate-5-fluorouracil (CMF); cyclophosphamide-doxorubicin-paclitaxel-trastuzumab (ACTH); and paclitaxel-trastuzumab (TH). The use of GR has increased over time (p-trend < 0.001), while use of NGR (both in terms of administration schedule and drug combination) and TDR have decreased, although patterns vary by drug combination. CONCLUSION: Chemotherapy delivery has changed markedly over time, with a move toward more use of GR. These data are important for understanding the landscape of chemotherapy delivery in community healthcare settings.

Patient characteristics associated with intended non-guideline chemotherapy in women with stage I-IIIA breast cancer.

BACKGROUND: Guidelines informing chemotherapy regimen selection are based on clinical trials with participants who do not necessarily represent general populations with breast cancer. Understanding who receives non-guideline regimens is important to understanding real-world chemotherapy administration and how it relates to patient outcomes. METHODS: Using data from the Optimal Breast Cancer Chemotherapy Dosing (OBCD) cohort study, based at Kaiser Permanente Northern California (2006-2019) and Kaiser Permanente Washington (2004-2015), we use logistic regression to examine the associations between patient characteristics and receipt of non-NCCN-guideline chemotherapy among 11,293 women with primary stage I-IIIA breast cancer receiving chemotherapy. RESULTS: Use of non-guideline regimens was strongly associated with several factors, including older age (OR≥80 vs 18-39: 5.25, 95%CI: 3.06-9.00)(p-trend=0.002) and human epidermal growth factor-2 status (ORHER2+ vs HER2-: 3.44; 95%CI: 3.06-3.87) and was less likely in women with larger tumor size (OR>5cm vs 0.1-≤0.5cm: 0.56; 95%CI: 0.36-0.87)(p-trend=0.01) and diagnosed in later years (OR2012-2019 vs 2005-2011: 0.80; 95%CI: 0.71-0.90). Factors associated varied by type of non-guideline regimen. For example, women with comorbidity and older age were more likely to receive non-guideline drug combinations in particular, while women with larger tumor size were less likely to receive non-guideline administration schedules. CONCLUSIONS: Non-guideline chemotherapy regimens are more likely in certain patient populations. IMPACT: These associations highlight that vulnerable patient populations may be less likely to receive guideline care and thus real-world studies are essential to understanding how the use of non-guideline regimens impacts patient outcomes in these groups.

Patient characteristics associated with delayed time to adjuvant chemotherapy among women treated for stage I-IIIA breast cancer.

For patients with breast cancer, delays in chemotherapy initiation have been adversely associated with recurrence and survival. We evaluated patient-level factors associated with delayed chemotherapy initiation, from both diagnosis and surgery, in a community-based cohort of women with early-stage breast cancer. For the Optimal Breast Cancer Chemotherapy Dosing study, we identified a cohort of 34,109 women diagnosed with stage I-IIIA breast cancer at two U.S. integrated healthcare delivery systems between 2004 and 2019. We used logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) to identify patient factors associated with delays in chemotherapy initiation after diagnosis (≥90 days) and surgery (≥60 days). Among 10,968 women receiving adjuvant chemotherapy, 21.1% experienced delays in chemotherapy initiation after diagnosis and 21.3% after surgery. Older age, non-Hispanic Black and Hispanic race and ethnicity, and ER+ and/or PR+ disease were associated with increased likelihood of delays to chemotherapy initiation after diagnosis and surgery. People diagnosed in 2012-2019 (vs. 2005-2011), with a higher grade and larger tumor size were less likely to experience delays. Other factors were associated with a higher likelihood of delays specifically from diagnosis (earlier stage, mastectomy vs. breast-conserving surgery), or surgery (higher comorbidity, increased nodal number). Women diagnosed with breast cancer who were at highest risk of progression and recurrence were less likely to experience delays in chemotherapy initiation after diagnosis and surgery. Understanding reasons for chemotherapy delays beyond patient factors may be potentially important to reduce risk of breast cancer recurrence and progression.

Trends in chemotherapy use for early-stage breast cancer from 2006 to 2019.

BACKGROUND: Little is known about how use of chemotherapy has evolved in breast cancer patients. We therefore describe chemotherapy patterns for women with stage I-IIIA breast cancer in the Optimal Breast Cancer Chemotherapy Dosing (OBCD) Study using data from KPNC (Kaiser Permanente Northern California) and KPWA (Kaiser Permanente Washington). FINDINGS: Among 33,670 women, aged 18 + y, diagnosed with primary stage I-IIIA breast cancer at KPNC and KPWA from 2006 to 2019, we explored patterns of intravenous chemotherapy use, defined here as receipt of intravenous cytotoxic drugs and/or anti-HER2 therapies. We evaluated trends in chemotherapy receipt, duration over which chemotherapy was received, and number of associated infusion visits. In secondary analyses, we stratified by receipt of anti-HER2 therapies (trastuzumab and/or pertuzumab), given their longer duration. 38.9% received chemotherapy intravenously, declining from 40.2% in 2006 to 35.6% in 2019 (p-trend < 0.001). Among 13,089 women receiving chemotherapy, neoadjuvant treatment increased (4.1-14.7%; p-trend < 0.001), as did receipt of anti-HER2 therapies (20.8-30.9%) (p-trend < 0.001). The average treatment duration increased (5.3 to 6.0 months; p-trend < 0.001), as did the number of infusion visits (10.8 to 12.5; p-trend < 0.001). For those receiving anti-HER2 therapies, treatment duration and average number of visits decreased; among those not receiving anti-HER2 therapies, number of visits increased, with no change in duration. CONCLUSIONS: While the prevalence of chemotherapy receipt has decreased over time, the use of neoadjuvant chemotherapy has increased, as has use of anti-HER2 therapies; duration and number of administration visits have also increased. Understanding these trends is useful to inform clinical and administrative planning.

Impact of barriers and motivators on intention and confidence to undergo hereditary cancer genetic testing.

Genetic testing for hereditary cancer syndromes can provide lifesaving information allowing for individualized cancer screening, prevention, and treatment. However, the determinants, both barriers and motivators, of genetic testing intention are not well described. A survey of barriers and motivators to genetic testing was emailed to adult patients eligible for genetic testing based on cancer diagnosis who previously have not had genetic testing (n = 201). Associations between barriers/motivators with testing intention and confidence were examined first by correlation followed by multivariable linear regression model holding constant potential covariates. Seven barrier items from two domains (logistics and genetic testing knowledge) were found to significantly negatively correlate with genetic testing intention. Unexpectedly, three barrier items had significant positive correlation with genetic testing intention; these were related to family worry (passing a condition on to future generations) and testing knowledge (needing more information on the genetic testing process and what it has to offer). Ten barrier items had significant negative correlation with confidence to get a genetic test and encompassed four domains: stigma, insurance/genetic discrimination, knowledge, and cost. All motivator items were associated with intention to get a genetic test, while none were associated with confidence. Multivariable analysis yielded six total barriers (five from the knowledge domain, one from cost domain) and two motivators (relieved to know and treatment impact) that were significantly associated with genetic testing intention or confidence when controlling for demographic characteristics. These findings indicate the need for tailored interventions to amplify motivating factors and counter-message barriers to enhance patient motivation and confidence to undergo testing.

Methodology for Using Real-World Data From Electronic Health Records to Assess Chemotherapy Administration in Women With Breast Cancer.

PURPOSE: Identification of patients' intended chemotherapy regimens is critical to most research questions conducted in the real-world setting of cancer care. Yet, these data are not routinely available in electronic health records (EHRs) at the specificity required to address these questions. We developed a methodology to identify patients' intended regimens from EHR data in the Optimal Breast Cancer Chemotherapy Dosing (OBCD) study. METHODS: In women older than 18 years, diagnosed with primary stage I-IIIA breast cancer at Kaiser Permanente Northern California (2006-2019), we categorized participants into 24 drug combinations described in National Comprehensive Cancer Network guidelines for breast cancer treatment. Participants were categorized into 50 guideline chemotherapy administration schedules within these combinations using an iterative algorithm process, followed by chart abstraction where necessary. We also identified patients intended to receive nonguideline administration schedules within guideline drug combinations and nonguideline drug combinations. This process was adapted at Kaiser Permanente Washington using abstracted data (2004-2015). RESULTS: In the OBCD cohort, 13,231 women received adjuvant or neoadjuvant chemotherapy, of whom 10,213 (77%) had their intended regimen identified via the algorithm, 2,416 (18%) had their intended regimen identified via abstraction, and 602 (4.5%) could not be identified. Across guideline drug combinations, 111 nonguideline dosing schedules were used, alongside 61 nonguideline drug combinations. A number of factors were associated with requiring abstraction for regimen determination, including: decreasing neighborhood household income, earlier diagnosis year, later stage, nodal status, and human epidermal growth factor receptor 2 (HER2)+ status. CONCLUSION: We describe the challenges and approaches to operationalize complex, real-world data to identify intended chemotherapy regimens in large, observational studies. This methodology can improve efficiency of use of large-scale clinical data in real-world populations, helping answer critical questions to improve care delivery and patient outcomes.

Assessment of breast cancer chemotherapy dose reduction in an integrated healthcare delivery system.

PURPOSE: Most cytotoxic drugs are dosed using body surface area (BSA), yet not all cancer patients receive the full BSA-determined dose. Prior work suggests that breast cancer patients who are obese are more likely to experience dose reduction than normal weight patients. However, the factors driving dose reduction remain unclear. METHODS: In 452 women diagnosed with stage I-IIIA primary breast cancer at Kaiser Permanente Northern California, we evaluated the association between obesity and dose reduction, and further explored other factors in relation to dose reduction, including various sociodemographic characteristics, tumor characteristics, and comorbidities. Study participants were a part of the Pathways Study, diagnosed between 2006 and 2013 and treated with cyclophosphamide + doxorubicin, followed by paclitaxel (ACT). Dose reduction was assessed using first cycle dose proportion (FCDP) and average relative dose intensity (ARDI), a metric of dose intensity over the course of chemotherapy. RESULTS: Overall, 8% of participants received a FCDP < 90% and 21.2% had an ARDI < 90%, with dose reduction increasing with body mass index. In adjusted logistic regression models, obese women had 4.1-fold higher odds of receiving an ARDI < 90% than normal weight women (95% CI: 1.9-8.9; p-trend = 0.0006). Increasing age was positively associated with an ADRI < 90%, as was the presence of comorbidity. Dose reduction was less common in later calendar years. CONCLUSION: Results offer insight on factors associated with chemotherapy dosing for a common breast cancer regimen. Larger studies are required to evaluate relevance to other regimens, and further work will be needed to determine whether dose reductions impact outcomes in obese women.

Evaluation of Algorithms Using Automated Health Plan Data to Identify Breast Cancer Recurrences.

BACKGROUND: We updated algorithms to identify breast cancer recurrences from administrative data, extending previously developed methods. METHODS: In this validation study, we evaluated pairs of breast cancer recurrence algorithms (vs. individual algorithms) to identify recurrences. We generated algorithm combinations that categorized discordant algorithm results as no recurrence [High Specificity and PPV (positive predictive value) Combination] or recurrence (High Sensitivity Combination). We compared individual and combined algorithm results to manually abstracted recurrence outcomes from a sample of 600 people with incident stage I-IIIA breast cancer diagnosed between 2004 and 2015. We used Cox regression to evaluate risk factors associated with age- and stage-adjusted recurrence rates using different recurrence definitions, weighted by inverse sampling probabilities. RESULTS: Among 600 people, we identified 117 recurrences using the High Specificity and PPV Combination, 505 using the High Sensitivity Combination, and 118 using manual abstraction. The High Specificity and PPV Combination had good specificity [98%, 95% confidence interval (CI): 97-99] and PPV (72%, 95% CI: 63-80) but modest sensitivity (64%, 95% CI: 44-80). The High Sensitivity Combination had good sensitivity (80%, 95% CI: 49-94) and specificity (83%, 95% CI: 80-86) but low PPV (29%, 95% CI: 25-34). Recurrence rates using combined algorithms were similar in magnitude for most risk factors. CONCLUSIONS: By combining algorithms, we identified breast cancer recurrences with greater PPV than individual algorithms, without additional review of discordant records. IMPACT: Researchers should consider tradeoffs between accuracy and manual chart abstraction resources when using previously developed algorithms. We provided guidance for future studies that use breast cancer recurrence algorithms with or without supplemental manual chart abstraction.

Clinical Implications of Removing Race-Corrected Pulmonary Function Tests for African American Patients Requiring Surgery for Lung Cancer.

Importance: Removal of race correction in pulmonary function tests (PFTs) is a priority, given that race correction inappropriately conflates race, a social construct, with biological differences and falsely assumes worse lung function in African American than White individuals. However, the impact of decorrecting PFTs for African American patients with lung cancer is unknown. Objectives: To identify how many hospitals providing lung cancer surgery use race correction, examine the association of race correction with predicted lung function, and test the effect of decorrection on surgeons' treatment recommendations. Design, Setting, and Participants: In this quality improvement study, hospitals participating in a statewide quality collaborative were contacted to determine use of race correction in PFTs. For hospitals performing race correction, percent predicted preoperative and postoperative forced expiratory volume in 1 second (FEV1) was calculated for African American patients who underwent lung cancer resection between January 1, 2015, and September 31, 2022, using race-corrected and race-neutral equations. US cardiothoracic surgeons were then randomized to receive 1 clinical vignette that differed by the use of Global Lung Function Initiative equations for (1) African American patients (percent predicted postoperative FEV1, 49%), (2) other race or multiracial patients (percent predicted postoperative FEV1, 45%), and (3) race-neutral patients (percent predicted postoperative FEV1, 42%). Main Outcomes and Measures: Number of hospitals using race correction in PFTs, change in preoperative and postoperative FEV1 estimates based on race-neutral or race-corrected equations, and surgeon treatment recommendations for clinical vignettes. Results: A total of 515 African American patients (308 [59.8%] female; mean [SD] age, 66.2 [9.4] years) were included in the study. Fifteen of the 16 hospitals (93.8%) performing lung cancer resection for African American patients during the study period reported using race correction, which corresponds to 473 African American patients (91.8%) having race-corrected PFTs. Among these patients, the percent predicted preoperative FEV1 and postoperative FEV1 would have decreased by 9.2% (95% CI, -9.0% to -9.5%; P < .001) and 7.6% (95% CI, -7.3% to -7.9%; P < .001), respectively, if race-neutral equations had been used. A total of 225 surgeons (194 male [87.8%]; mean [SD] time in practice, 19.4 [11.3] years) were successfully randomized and completed the vignette items regarding risk perception and treatment outcomes (76% completion rate). Surgeons randomized to the vignette with African American race-corrected PFTs were more likely to recommend lobectomy (79.2%; 95% CI, 69.8%-88.5%) compared with surgeons randomized to the other race or multiracial-corrected (61.7%; 95% CI, 51.1%-72.3%; P = .02) or race-neutral PFTs (52.8%; 95% CI, 41.2%-64.3%; P = .001). Conclusions and Relevance: Given the findings of this quality improvement study, surgeons should be aware of changes in PFT testing because removal of race correction PFTs may change surgeons' treatment decisions and potentially worsen existing disparities in receipt of lung cancer surgery among African American patients.

Examining the effects of physician burnout on pain management for patients with advanced lung cancer.

PURPOSE: Physician burnout is generally associated with worse clinical outcomes. The purpose of this study is to examine the effects of physician burnout on the quality of physicians' pain assessment and opioid prescribing for patients with advanced lung cancer. Moreover, we test whether these relationships are moderated by patient-level factors, such as patient race and activation level, that have a demonstrated impact on clinical encounters. METHODS: We conducted a secondary analysis of data from a multisite randomized field experiment. From 2012 to 2016, 96 primary care physicians and oncologists who treated solid tumors were recruited from hospitals and medical sites in three small metropolitan and rural areas in the USA. Physicians saw two unannounced standardized patients who presented with advanced lung cancer. Standardized patients varied across race (Black or White) and activation level (activated, typical). Visits were audio recorded and transcribed. Pain management was evaluated by the quality of pain assessment and opioid prescribing during these visits. RESULTS: Mixed-effects linear regression and generalized mixed-effects modeling showed that higher levels of burnout were associated with a greater likelihood of prescribing an opioid and prescribing stronger opioid doses for patients. These effects were not moderated by patient race or activation level. CONCLUSION: Findings from this work inform our understanding of physician-level factors that impact clinical decision-making in the context of cancer pain management. Specifically, this study identifies the role of physician burnout on the quality of prescribing for patients with advanced lung cancer.

The Michigan Genetic Hereditary Testing (MiGHT) study's innovative approaches to promote uptake of clinical genetic testing among cancer patients: a study protocol for a 3-arm randomized controlled trial.

BACKGROUND: Although most cancers are sporadic, germline genetic variants are implicated in 5-10% of cancer cases. Clinical genetic testing identifies pathogenic germline genetic variants for hereditary cancers. The Michigan Genetic Hereditary Testing (MiGHT) study is a three-arm randomized clinical trial that aims to test the efficacy of two patient-level behavioral interventions on uptake of cancer genetic testing. METHODS: The two interventions being tested are (1) a virtual genetics navigator and (2) motivational interviewing by genetic health coaches. Eligible participants are adults with a diagnosis of breast, prostate, endometrial, ovarian, colorectal, or pancreatic cancer who meet the National Comprehensive Cancer Network (NCCN) criteria for genetic testing. Participants are recruited through community oncology practices affiliated with the Michigan Oncology Quality Consortium (MOQC) and have used the Family Health History Tool (FHHT) to determine testing eligibility. The recruitment goal is 759 participants, who will be randomized to usual care or to either the virtual genetics navigator or the motivational interviewing intervention arms. The primary outcome will be the proportion of individuals who complete germline genetic testing within 6 months. DISCUSSION: This study addresses patient-level factors which are associated with the uptake of genetic testing. The study will test two different intervention approaches, both of which can help address the shortage of genetic counselors and improve access to care. TRIAL REGISTRATION: This study has been approved by the Institutional Review Board of the University of Michigan Medical School (HUM00192898) and registered in ClinicalTrials.gov (NCT05162846).

Psychosocial factors impacting barriers and motivators to cancer genetic testing.

BACKGROUND: Only a small proportion of patients who qualify for clinical genetic testing for cancer susceptibility get testing. Many patient-level barriers contribute to low uptake. In this study, we examined self-reported patient barriers and motivators for cancer genetic testing. METHODS: A survey comprised of both new and existing measures related to barriers and motivators to genetic testing was emailed to patients with a diagnosis of cancer at a large academic medical center. Patients who self-reported receiving a genetic test were included in these analyses (n = 376). Responses about emotions following testing as well as barriers and motivators prior to getting testing were examined. Group differences in barriers and motivators by patient demographic characteristics were examined. RESULTS: Being assigned female at birth was associated with increased emotional, insurance, and family concerns as well as increased health benefits compared to patients assigned male at birth. Younger respondents had significantly higher emotional and family concerns compared to older respondents. Recently diagnosed respondents expressed fewer concerns about insurance implications and emotional concerns. Those with a BRCA-related cancer had higher scores on social and interpersonal concerns scale than those with other cancers. Participants with higher depression scores indicated increased emotional, social and interpersonal, and family concerns. CONCLUSIONS: Self-reported depression emerged as the most consistent factor influencing report of barriers to genetic testing. By incorporating mental health resources into clinical practice, oncologists may better identify those patients who might need more assistance following through with a referral for genetic testing and the response afterwards.

Muscle mass affects paclitaxel systemic exposure and may inform personalized paclitaxel dosing.

AIMS: Patients with low muscle mass have increased risk of paclitaxel-induced peripheral neuropathy, which is dependent on systemic paclitaxel exposure. Dose optimization may be feasible through the secondary use of radiologic data for body composition. The objective of this study was to interrogate morphomic parameters as predictors of paclitaxel pharmacokinetics to identify alternative dosing strategies that may improve treatment outcomes. METHODS: This was a secondary analysis of female patients with breast cancer scheduled to receive 80 mg/m2 weekly paclitaxel infusions. Paclitaxel was measured at the end of initial infusion to estimate maximum concentration (Cmax ). Computed tomography (CT) scans were used to measure 29 body composition features for inclusion in pharmacokinetic modelling. Monte Carlo simulations were performed to identify infusion durations that limit the probability of exceeding Cmax > 2885 ng/mL, which was selected based on prior work linking this to an unacceptable risk of peripheral neuropathy. RESULTS: Thirty-nine patients were included in the analysis. The optimal model was a two-compartment pharmacokinetic model with T11 skeletal muscle area as a covariate of paclitaxel volume of distribution (Vd). Simulations suggest that extending infusion of the standard paclitaxel dose from 1 hour to 2 and 3 hours in patients who have skeletal muscle area 4907-7080 mm2 and <4907 mm2 , respectively, would limit risk of Cmax > 2885 ng/mL to <50%, consequently reducing neuropathy, while marginally increasing overall systemic paclitaxel exposure. CONCLUSION: Extending paclitaxel infusion duration in ~25% of patients who have low skeletal muscle area is predicted to reduce peripheral neuropathy while maintaining systemic exposure, suggesting that personalizing paclitaxel dosing based on body composition may improve treatment outcomes.

Factors Associated With Inferior Vena Cava Filter Placement and Retrieval for Patients With Cancer-Associated Thrombosis.

BACKGROUND: Venous thromboembolism is a leading cause of death in patients with cancer. Inferior vena cava filters are utilized to mitigate the risk of pulmonary embolism for patients who have contraindication to, or failure of, anticoagulation. METHODS: We reviewed an insurance claims database to identify adults receiving cancer-directed therapy and had a new diagnosis of venous thromboembolism. We then evaluated clinical and sociodemographic characteristics in patients with and without filter placement and retrieval. RESULTS: There were 25,788 patients (mean [SD] age: 68.3 [12.7] years) who met the study inclusion criteria, with 2111 individuals (8.2%) undergoing filter placement. Filter placement was associated with the type of thrombosis, malignancy, recent surgery, comorbidities, and income. A total of 137 patients (6.5%) newly started anticoagulation within 3 days of filter placement, and 612 (29%) patients received anticoagulation within 30 days after filter placement. Despite this, only 159 (7.5%) patients had their filters retrieved during the study period. Patients with income of $75-99K (odds ratio 2.13, P = .012) or above $100K (odds ratio 1.8, P = .038) were more likely to have filter retrieval compared with those with income <$50K. Filter retrieval was also more likely in younger patients and those with fewer comorbidities or without central nervous system or lung malignancies. CONCLUSIONS: Inferior vena cava filter placement and retrieval are associated with several sociodemographic factors. Filter retrieval rates are low despite re-initiation of anticoagulation in many patients. Efforts are needed to address disparities in filter use and improve retrieval rates.

"I'm Being Forced to Make Decisions I Have Never Had to Make Before": Oncologists' Experiences of Caring for Seriously Ill Persons With Poor Prognoses and the Dilemmas Created by COVID-19.

PURPOSE: The COVID-19 pandemic has created a new set of problems for clinicians. This study examines the experiences of oncologists providing care to seriously ill persons near the end of life in the context of the COVID-19 pandemic. METHODS: Between January 2020 and August 2020, we conducted semistructured, in-depth individual interviews with 22 purposefully sampled oncologists from practices enrolled in the Michigan Oncology Quality Consortium. Deidentified transcripts of the interviews were examined using thematic analysis. RESULTS: Our respondents described several novel problems created by the COVID-19 pandemic, including: (1) ethical challenges, (2) the need to manage uncertainty-physically and emotionally-on the part of both patients and oncologists, and (3) the difficulty of integrating technology and communication for seriously ill persons. These problems were made more complex by features of the pandemic: resource scarcity (and the need to fairly allocate poor resources), delays in care, high levels of fear, and the increased importance of advance care planning. Nonabandonment served as a way to cope with increased stress, and the use of telemedicine became an increasingly important medium of communication. CONCLUSION: This study offers an in-depth exploration of the problems faced by oncologists as a result of the COVID-19 pandemic and how they navigated them. Optimal decision making for seriously ill persons with cancer during the COVID-19 pandemic must include open acknowledgment of the ethical challenges involved, the emotions experienced by both patients and their oncologists, and the urgent need to integrate technology with compassionate communication in determining patient preferences.

Is physician implicit bias associated with differences in care by patient race for metastatic cancer-related pain?

RATIONALE: Implicit racial bias affects many human interactions including patient-physician encounters. Its impact, however, varies between studies. We assessed the effects of physician implicit, racial bias on their management of cancer-related pain using a randomized field experiment. METHODS: We conducted an analysis of a randomized field experiment between 2012 and 2016 with 96 primary care physicians and oncologists using unannounced, Black and White standardized patients (SPs)who reported uncontrolled bone pain from metastatic lung cancer. We assessed implicit bias using a pain-adaptation of the race Implicit Association Test. We assessed clinical care by reviewing medical records and prescriptions, and we assessed communication from coded transcripts and covert audiotapes of the unannounced standardized patient office visits. We assessed effects of interactions of physicians' implicit bias and SP race with clinical care and communication outcomes. We conducted a slopes analysis to examine the nature of significant interactions. RESULTS: As hypothesized, physicians with greater implicit bias provided lower quality care to Black SPs, including fewer renewals for an indicated opioid prescription and less patient-centered pain communication, but similar routine pain assessment. In contrast to our other hypotheses, physician implicit bias did not interact with SP race for prognostic communication or verbal dominance. Analysis of the slopes for the cross-over interactions showed that greater physician bias was manifested by more frequent opioid prescribing and greater discussion of pain for White SPs and slightly less frequent prescribing and pain talk for Black SPs with the opposite effect among physicians with lower implicit bias. Findings are limited by use of an unvalidated, pain-adapted IAT. CONCLUSION: Using SP methodology, physicians' implicit bias was associated with clinically meaningful, racial differences in management of uncontrolled pain related to metastatic lung cancer. There is favorable treatment of White or Black SPs, depending on the level of implicit bias.

Improving the delivery of team-based survivorship care after primary breast cancer treatment through a multi-level intervention: a pilot randomized controlled trial.

PURPOSE: We developed and tested a multi-level intervention, ConnectedCancerCare (CCC), which includes a tailored website and appointment reminder system for women with early-stage breast cancer and a provider summary letter sent to their medical oncologist and primary care provider to improve the delivery of team-based survivorship care. METHODS: We conducted a pilot randomized controlled trial to establish the feasibility and acceptability of CCC. Women diagnosed with stages 0-II breast cancer within one year of completing primary treatment were randomized to CCC (intervention) or a static online survivorship care plan (control). Participants completed baseline and 3-month follow-up surveys online. Post-trial interviews with 5 PCPs, 6 oncology providers, and 8 intervention patients were conducted. RESULTS: Of the 160 eligible women invited to participate, 66 completed the baseline survey and were randomized (41%) and 54 completed a follow-up survey (83%). Participants in the intervention arm found the CCC content to be acceptable, with 82% reporting it was easy to use and 86% reporting they would recommend it to other patients. Women randomized to CCC (vs. control) more often reported scheduling a PCP follow-up visit (64% vs. 42%), communicating with their PCP about provider roles (67% vs. 18%), and higher mean team-based cancer care knowledge scores (3.7 vs. 3.4). CONCLUSION: Deploying CCC in medical oncology practices was feasible, and the intervention content was acceptable. CCC shows promise for improving patient knowledge and patient-provider communication about provider roles in team-based cancer care and encouraging patients to engage with their PCP early in the survivorship period.