Hanlon, Bret M

Abstract Objective To test the effectiveness of a surgical web‐based decision aid (DA) in improving knowledge. Summary of Background Data DAs support decision making by providing information about the options. Methods A stepped wedge trial was conducted in 10 National Cancer Institute Community Oncology Research Program clinics (Alliance for Clinical Trials in Oncology). Clinics were randomized to time of transition from usual care (UC) to delivery of a web‐based DA. Patients with stage 0 through 3 breast cancer being considered for surgery were enrolled. Knowledge (primary outcome) was measured using the Breast Cancer Surgery Decision Quality Instrument and patients were asked, “How informed do you feel?” Intervention effects were tested with linear mixed‐effects models, accounting for surgeon and clinic‐level clustering, time, and enrollment after COVID. Additional models controlled for demographics. Results A total of 44% of DA arm patients reviewed the DA and 58% in UC arm reported reviewing “any information.” Being in the DA arm versus UC was not associated with knowledge. However, “review of information” was associated with higher knowledge. In addition, non‐White race and lower education were associated with lower knowledge. The DA arm was associated with higher perceptions of feeling informed (parameter estimate 1.36; 95% CI, 0.18–2.55; p = .02); this persisted even when controlling for review of information or demographics. Conclusion Improved knowledge was not demonstrate with a web‐based DA versus UC. Interestingly, the DA was associated with a higher likelihood of feeling informed. Future research will explore the discrepancy between patients feeling informed but having low knowledge, especially for disadvantaged patients. Trial Registration ClinicalTrials.gov Identifier: NCT0376600

AbstractBackgroundRisk‐stratified follow‐up guidelines that account for the absolute risk and timing of recurrence may improve the quality and efficiency of breast cancer follow‐up. The objective of this study was to assess the relationship of anatomic stage and receptor status with timing of the first recurrence for patients with local‐regional breast cancer and generate risk‐stratified follow‐up recommendations.MethodsThe authors conducted a secondary analysis of 8007 patients with stage I–III breast cancer who enrolled in nine Alliance legacy clinical trials from 1997 to 2013 (ClinicalTrials.gov identifier NCT02171078). Patients who received standard‐of‐care therapy were included. Patients who were missing stage or receptor status were excluded. The primary outcome was days from the earliest treatment start date to the date of first recurrence. The primary explanatory variable was anatomic stage. The analysis was stratified by receptor type. Cox proportional‐hazards regression models produced cumulative probabilities of recurrence. A dynamic programming algorithm approach was used to optimize the timing of follow‐up intervals based on the timing of recurrence events.ResultsThe time to first recurrence varied significantly between receptor types (p < .0001). Within each receptor type, stage influenced the time to recurrence (p < .0001). The risk of recurrence was highest and occurred earliest for estrogen receptor (ER)‐negative/progesterone receptor (PR)‐negative/Her2neu‐negative tumors (stage III; 5‐year probability of recurrence, 45.5%). The risk of recurrence was lower for ER‐positive/PR‐positive/Her2neu‐positive tumors (stage III; 5‐year probability of recurrence, 15.3%), with recurrences distributed over time. Model‐generated follow‐up recommendations by stage and receptor type were created.ConclusionsThis study supports considering both anatomic stage and receptor status in follow‐up recommendations. The implementation of risk‐stratified guidelines based on these data has the potential to improve the quality and efficiency of follow‐up.

Introduction Socioeconomic disparities for breast cancer surgical care exist. Although the aetiology of the observed socioeconomic disparities is likely multifactorial, patient engagement during the surgical consult is critical. Shared decision-making may reduce health disparities by addressing barriers to patient engagement in decision-making that disproportionately impact socioeconomically disadvantaged patients. In this trial, we test the impact of a decision aid on increasing socioeconomically disadvantaged patients’ engagement in breast cancer surgery decision-making. Methods and analysis This multisite randomised trial is conducted through 10 surgical clinics within the National Cancer Institute Community Oncology Research Program (NCORP). We plan a stepped-wedge design with clinics randomised to the time of transition from usual care to the decision aid arm. Study participants are female patients, aged ≥18 years, with newly diagnosed stage 0–III breast cancer who are planning breast surgery. Data collection includes a baseline surgeon survey, baseline patient survey, audio-recording of the surgeon–patient consultation, a follow-up patient survey and medical record data review. Interviews and focus groups are conducted with a subset of patients, surgeons and clinic stakeholders. The effectiveness of the decision aid at increasing patient engagement (primary outcome) is evaluated using generalised linear mixed-effects models. The extent to which the effect of the decision aid intervention on patient engagement is mediated through the mitigation of barriers is tested in joint linear structural equation models. Qualitative interviews explore how barriers impact engagement, especially for socioeconomically disadvantaged women. Ethics and dissemination This protocol has been approved by the National Cancer Institute Central Institutional Review Board, and Certificate of Confidentiality has been obtained. We plan to disseminate the findings through journal publications and national meetings, including the NCORP network. Our findings will advance the science of medical decision-making with the potential to reduce socioeconomic health disparities. Trial registration number ClinicalTrials.gov Registry (NCT03766009).