Abstract:PURPOSE: As outcomes improve in early-stage breast cancer, clinical trials are undergoing a paradigm shift from intensification trials (more therapy) to improve survival to optimization trials, which assess the potential for using less toxic therapy while preserving survival outcomes. However, little is known about physician perspectives in community and academic settings about possible barriers and facilitators that could affect accrual to optimization clinical trials and the generalizability of future findin… Show more
“…Interviews were conducted by a breast medical oncologist (GR) via Zoom or telephone using a semi‐structured interview guide developed utilizing an a priori model‐based Norton and colleague's De‐implementation Framework 7 and aligned with patient interview guides from a prior study focused on patient perspectives of optimization trials 2 . The full interview guide has previously been published along with overarching barriers and facilitators that oncologists perceived to enrolling breast cancer patients in optimization trials 6 . This analysis delves deeper into a subsection of the interview where oncologists were asked how they would feel if a patient recurred after participating in an optimization trial.…”
Section: Methodsmentioning
confidence: 99%
“…Purposive sampling techniques were utilized to identify a balanced convenience sample of oncologists according to setting, gender, ethnicity, age, years of experience, and geographic location. In‐depth sample methodology and oncologist characteristics are described elsewhere 6 . Briefly, physicians from different US practices were identified through working relationships with the oncologists, engagement with the ECOG‐ACRIN Breast Committee, or referral from previous participants.…”
Section: Methodsmentioning
confidence: 99%
“…2 The full interview guide has previously been published along with overarching barriers and facilitators that oncologists perceived to enrolling breast cancer patients in optimization trials. 6 This analysis delves deeper into a subsection of the interview where oncologists were asked how they would feel if a patient recurred after participating in an optimization trial. The interviewer probed specifically to determine (1) whether negative psychological responses on the part of the oncologist occurred after patient recurrence;…”
BackgroundCancer recurrence after treatment is a concern for patients and oncologists alike. The movement towards treatment optimization, with trials testing less than the current standard of care (SoC), complicates this experience. Our objective was to assess oncologists' psychological response to patient recurrence on optimization‐focused trials and identify factors that influence those experiences.MethodsClinical oncologists participated in a semi‐structured interview regarding patient enrollment in treatment optimization trials. We identified factors that influence the degree of psychological response that the oncologist may feel after patient recurrence. Residual agreement analysis was used to identify whether differences in reported psychological response was associated with alternative emphases on identified factors.ResultsThirty‐six oncologists identified 20 factors spanning five major themes that affected their psychological response to patient recurrence. All oncologists expressed willingness to enroll patients in treatment optimization clinical trials; however, half indicated that they were more likely to experience a negative psychological response after a treatment optimization trial than after a traditional intensification trial, and a quarter reported that patient recurrence on an optimization trial would impact their recommendations for future trial enrollment. Oncologists who reported more negative psychological responses to patient recurrence after participation in an optimization trial were more likely to emphasize introspective factors, while those who reported no difference in response emphasized patient‐ and process‐focused factors.ConclusionsAlthough most oncologists recognize the importance of treatment optimization trials, a significant proportion indicated a greater potential for psychological distress following patient recurrence in such trials and offered insight into how trial design and the process of patient enrollment can be improved to minimize those negative psychological responses.
“…Interviews were conducted by a breast medical oncologist (GR) via Zoom or telephone using a semi‐structured interview guide developed utilizing an a priori model‐based Norton and colleague's De‐implementation Framework 7 and aligned with patient interview guides from a prior study focused on patient perspectives of optimization trials 2 . The full interview guide has previously been published along with overarching barriers and facilitators that oncologists perceived to enrolling breast cancer patients in optimization trials 6 . This analysis delves deeper into a subsection of the interview where oncologists were asked how they would feel if a patient recurred after participating in an optimization trial.…”
Section: Methodsmentioning
confidence: 99%
“…Purposive sampling techniques were utilized to identify a balanced convenience sample of oncologists according to setting, gender, ethnicity, age, years of experience, and geographic location. In‐depth sample methodology and oncologist characteristics are described elsewhere 6 . Briefly, physicians from different US practices were identified through working relationships with the oncologists, engagement with the ECOG‐ACRIN Breast Committee, or referral from previous participants.…”
Section: Methodsmentioning
confidence: 99%
“…2 The full interview guide has previously been published along with overarching barriers and facilitators that oncologists perceived to enrolling breast cancer patients in optimization trials. 6 This analysis delves deeper into a subsection of the interview where oncologists were asked how they would feel if a patient recurred after participating in an optimization trial. The interviewer probed specifically to determine (1) whether negative psychological responses on the part of the oncologist occurred after patient recurrence;…”
BackgroundCancer recurrence after treatment is a concern for patients and oncologists alike. The movement towards treatment optimization, with trials testing less than the current standard of care (SoC), complicates this experience. Our objective was to assess oncologists' psychological response to patient recurrence on optimization‐focused trials and identify factors that influence those experiences.MethodsClinical oncologists participated in a semi‐structured interview regarding patient enrollment in treatment optimization trials. We identified factors that influence the degree of psychological response that the oncologist may feel after patient recurrence. Residual agreement analysis was used to identify whether differences in reported psychological response was associated with alternative emphases on identified factors.ResultsThirty‐six oncologists identified 20 factors spanning five major themes that affected their psychological response to patient recurrence. All oncologists expressed willingness to enroll patients in treatment optimization clinical trials; however, half indicated that they were more likely to experience a negative psychological response after a treatment optimization trial than after a traditional intensification trial, and a quarter reported that patient recurrence on an optimization trial would impact their recommendations for future trial enrollment. Oncologists who reported more negative psychological responses to patient recurrence after participation in an optimization trial were more likely to emphasize introspective factors, while those who reported no difference in response emphasized patient‐ and process‐focused factors.ConclusionsAlthough most oncologists recognize the importance of treatment optimization trials, a significant proportion indicated a greater potential for psychological distress following patient recurrence in such trials and offered insight into how trial design and the process of patient enrollment can be improved to minimize those negative psychological responses.
“…There is often difficulty in obtaining funding for dose-finding studies despite these studies saving more money than they cost [ 38 ]. There is also difficulty in enrolment as patients and physicians fear the potential impact on treatment benefits [ 39 , 40 ]. Despite positive dose optimization trials, there is a low rate of implementation of low-dose strategies [ 41 , 42 ].…”
Section: The Dose Optimization Trials and Future Perspectives For The...mentioning
Patients, families, healthcare providers and funders face multiple comparable treatment options without knowing which provides the best quality of care. As a step towards improving this, the REthinking Clinical Trials (REaCT) pragmatic trials program started in 2014 to break down many of the traditional barriers to performing clinical trials. However, until other innovative methodologies become widely used, the impact of this program will remain limited. These innovations include the incorporation of near equivalence analyses and the incorporation of artificial intelligence (AI) into clinical trial design. Near equivalence analyses allow for the comparison of different treatments (drug and non-drug) using quality of life, toxicity, cost-effectiveness, and pharmacokinetic/pharmacodynamic data. AI offers unique opportunities to maximize the information gleaned from clinical trials, reduces sample size estimates, and can potentially “rescue” poorly accruing trials. On 2 May 2023, the first REaCT international symposium took place to connect clinicians and scientists, set goals and identify future avenues for investigator-led clinical trials. Here, we summarize the topics presented at this meeting to promote sharing and support other similarly motivated groups to learn and share their experiences.
“…80 Oncologists are increasingly willing to enroll patients in trials that seek lower toxicity, cost, and patient burden. 81 Oncologists are willing to discuss flexible approaches to dosing that may better balance toxicity and efficacy, particularly in metastatic disease. 21 Given the rising recognition of nondrug treatment toxicites, 56,82,83 less frequent dosing could conceivably increase a drug’s market share, albeit at the risk that fee-for-service prescribers and treating facilities lose drug administration revenues.…”
Section: Financial and Reporting Considerationsmentioning
Since the middle of the 20th century, oncology’s dose-finding paradigm has been oriented toward identifying a drug’s maximum tolerated dose, which is then carried forward into phase 2 and 3 trials and clinical practice. For most modern precision medicines, however, maximum tolerated dose is far greater than the minimum dose needed to achieve maximal benefit, leading to unnecessary side effects. Regulatory change may decrease maximum tolerated dose’s predominance by enforcing dose optimization of new drugs. Dozens of already approved cancer drugs require re-evaluation, however, introducing a new methodologic and ethical challenge in cancer clinical trials. In this article, we assess the history and current landscape of cancer drug dose finding. We provide a set of strategic priorities for postapproval dose optimization trials of the future. We discuss ethical considerations for postapproval dose optimization trial design and review three major design strategies for these unique trials that would both adhere to ethical standards and benefit patients and funders. We close with a discussion of financial and reporting considerations in the realm of dose optimization. Taken together, we provide a comprehensive, bird’s eye view of the postapproval dose optimization trial landscape and offer our thoughts on the next steps required of methodologies and regulatory and funding regimes.
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