scholarly journals Who Needs What? Perceptions of Patients and Caregivers in Oncology Phase 1 Trials

2019 ◽  
Vol 7 (1) ◽  
pp. 27-33 ◽  
Author(s):  
Victoria Rezash ◽  
Janice Reed ◽  
Barbara Gedeon ◽  
Eric Parsons ◽  
Sandra Siedlecki ◽  
...  

Background: The study design and nature of oncology phase 1 clinical trials create a uniquely vulnerable patient population yet little research has been conducted to identify the added burden these trials create for both cancer patients and their caregiver(s). Objective: Examining the perceptions and needs of patients and their caregivers participating in phase 1 oncology clinical trials, the investigators tested the hypothesis that the caregiver will exhibit a higher level of burden and/or distress than the patient. Method: A mixed-methods exploratory process utilizing patient and caregiver interviews and quality-of-life questionnaires was used to assess the psychosocial burdens associated with oncology clinical trial participation. A qualitative and quantitative analysis of the responses were 8 performed. Result: Both patients and caregivers reported similar themes identifying the burdens and benefits related to phase 1 clinical trial participation. However, the caregivers’ expressed burden exceeded that of the patients’ validating the study’s hypothesis. Conclusion: The need for ongoing additional support services for not only the patient but also the caregiver was identified.

2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 27-27 ◽  
Author(s):  
Safiya Karim ◽  
Yuan Xu ◽  
Shiying Kong ◽  
Winson Y. Cheung

27 Background: The Institute of Medicine encourages broad participation by patients in clinical trials to “efficiently provide practice-changing evidence”. Enrolment of a representative sample of the general oncology population in clinical trials is essential to ensure that outcomes are generalizable and to ensure equity and social justice. Our aims were to 1) determine the characteristics of all cancer patients compared to those enrolled on a clinical trial and 2) to determine factors and outcomes associated with clinical trial participation. Methods: We assembled a large cohort of patients diagnosed with all solid malignancies between 2004 and 2016 in a large Canadian province. We collected information on age, sex, tumor type, Charlson comorbidity index (CCI), year of diagnosis, treatment type (surgery, chemo, radiation, and immunotherapy). Logistic regression was used to identify factors associated with clinical trial participation. Cox regression models were constructed to determine overall survival (OS). Results: We identified 146,294 patients with a cancer diagnosis, of which 43% were men and the mean age at diagnosis was 61 years (SD 15.6). Approximately 3% (4,364/146,294) of all patients were enrolled in a clinical trial. Baseline characteristics showed that clinical trial patients were younger (mean age 58 years vs 61 years), had fewer comorbidities (CCI 0 = 83% vs. 73%) and more often male (45% vs 43%). Compared to all patients, clinical trial patients were more likely to be younger (OR 0.98, p < 0.001), male (OR 1.21, 95% CI 1.10-1.32 p < 0.001), and to have a diagnosis of brain (OR 3.8, 95% CI 2.86-5.05, p < 0.001), kidney (OR 2.61, 95% CI 1.93-3.52) or breast cancer (OR 2.38, 95% CI 1.84-3.08). Compared to all patients and those not treated on clinical trial, patients on clinical trial had improved OS (HR 0.81, 95% CI 0.77-0.85, p < 0.001). Conclusions: Only a small proportion of real world patients are treated within a clinical trial. Characteristics of clinical trials patients are significantly different from all patients with cancer. More representative clinical trials are needed in order to reflect the real world cancer population.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6619-6619
Author(s):  
Dax Kurbegov ◽  
Edward S. Kim ◽  
Patricia A. Hurley ◽  
David Michael Waterhouse

6619 Background: Current methods to assess trial sites for clinical trial participation are onerous, with unnecessary redundancies and “no-value” steps that impact clinical trial participation. This project assessed the impact of current sponsor and contract research organizations (CRO) methods to evaluate sites for trials. Methods: A survey was conducted with community- and academic-based trial sites. Samples of feasibility questionnaires (FQs) used by sponsors and CROs were also compiled. An ASCO sponsored multi-stakeholder meeting was held to identify strategies to more effectively assess trial sites. Results: 113 oncology practices (63 community, 50 academic) reported completing 11 FQs and 4 pre-study site visits (PSV) on average per month. On average, each FQ took 4 hours (528 hours/site and 59,664 hours for all respondents, annually) and each PSV took 10 hours (480 hours/site and 54,240 hours for all respondents, annually) to complete. Thus, the total staff hours required to complete site feasibility assessments was 113,904 annually. Respondents reported that content in both FQs (82%) and PSVs (91%) was redundant to information previously provided and FQs were redundant between different sponsors (86%). The 42 sample FQs had a median 45 questions (range 13 to 96). Respondents noted that sponsors/CROs provided insufficient study documentation to accurately complete FQs. It took 7 months on average from first contact to first patient enrolled. Respondents also provided feedback about standardizing and streamlining site qualification processes. Conclusions: The current methods of assessing site feasibility for clinical trials poses tremendous burden on site resources and is not sustainable. New methods are needed that standardize, harmonize, and streamline criteria and site assessments. Such changes will reduce burden and costs for all stakeholders, and will expedite and increase patient enrollment onto clinical trials.


2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 128-128
Author(s):  
Ahmed Megahed ◽  
Gary L Buchschacher ◽  
Ngoc J. Ho ◽  
Reina Haque ◽  
Robert Michael Cooper

128 Background: Sparse data exists on the diversity clinical trial enrollment in community settings. This information is important to ensure equity of care and generalizability of results. Methods: We conducted a retrospective cohort study of members of an integrated healthcare system diagnosed with invasive malignancies (excluding non-melanoma skin cancers) between 2013-2017 to examine demographics of the oncology population compared to those who enrolled in a clinical trial. Logistic regression was used to assess correlates of clinical trial participation, comparing general and screened samples to enrolled sample. Odds ratios were adjusted for gender, geocoded median household income, cancer type, and stage. Results: Of the 84,977 patients with a cancer diagnosis, N = 2606 were screened for clinical trial participation and consented, and of those N = 1372 enrolled. The percent of Latinx (25.8% vs 24.0%; OR 0.9? CI 0.72-1.05) and African American/Black (10.9% vs 11.1%; OR 0.92 CI 0.75-1.11) clinical trial participation mirrored that of the general oncology population, respectively using Non-Hispanic Whites as reference. Asian/Pacific Islander had equal odds of clinical trial enrollment (OR 1.08 CI 0.92-1.27). The enrolled population was younger than the general oncology population. Conclusions: This study suggests that in an integrated healthcare system with equal access to care, the clinical trials population is well representative of its general oncology population.[Table: see text]


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 1543-1543
Author(s):  
Peter Blankenship ◽  
David DeLaRosa ◽  
Marc Burris ◽  
Steven Cusson ◽  
Kayla Hendricks ◽  
...  

1543 Background: Tissue requirements in oncology clinical trials are increasingly complex due to prescreening protocols for patient selection and serial biopsies to understand molecular-level treatment effects. Novel solutions for tissue processing are necessary for timely tissue procurement. Based on these needs, we developed a Tissue Tracker (TT), a comprehensive database for study-related tissue tasks at our high-volume clinical trial center. Methods: In this Microsoft Access database, patients are assigned an ID within the TT that is associated with their name, medical record number, and study that follows their request to external users: pathology departments, clinical trial coordinators and data team members. To complete tasks in the TT, relevant information is required to update the status. Due to the high number of archival tissue requests from unique pathology labs, the TT has a “Follow-Up Dashboard” that organizes information needed to conduct follow-up on all archival samples with the status “Requested”. This results in an autogenerated email and pdf report sent to necessary teams. The TT also includes a kit inventory system and a real-time read only version formatted for interdepartmental communication, metric reporting, and other data-driven efforts. The primary outcome in this study was to evaluate our average turnaround time (ATAT: average time from request to shipment) for archival and fresh tissue samples before and after TT development. Results: Before implementing the TT, between March 2016 and March 2018, we processed 2676 archival requests from 235 unique source labs resulting in 2040 shipments with an ATAT of 19.29 days. We also processed 1099 fresh biopsies resulting in 944 shipments with an ATAT of 7.72 days. After TT implementation, between April 2018 and April 2020, we processed 2664 archival requests from 204 unique source labs resulting in 2506 shipments (+28.0%) with an ATAT of 14.78 days (-23.4%). During that same period, we processed 1795 fresh biopsies (+63.3%) resulting in 2006 shipments (+112.5%) with an ATAT of 6.85 days (-11.3%). Conclusions: Oncology clinical trials continue to evolve toward more extensive tissue requirements for prescreening and scientific exploration of on-treatment molecular profiling. Timely results are required to optimize patient trial participation. During the intervention period, our tissue sample volume and shipments increased, but the development and implementation of an automated tracking system allowed improvement in ATAT of both archival and fresh tissue. This automation not only improves end-user expectations and experiences for patients and trial sponsors but this allows our team to adapt to the increasing interest in tissue exploration.


Trials ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Thomas Salaets ◽  
Emilie Lavrysen ◽  
Anne Smits ◽  
Sophie Vanhaesebrouck ◽  
Maissa Rayyan ◽  
...  

Abstract Background Although recruiting newborns is ethically challenging, clinical trials remain essential to improve neonatal care. There is a lack of empirical data on the parental perspectives following participation of their neonate in a clinical trial, especially at long term. The objective of this study is to assess experiences and emotions of parents, long term after trial participation in an interventional drug trial. Methods Parents of former participants of five neonatal interventional drug trials were surveyed at long term (3–13 years ago) after participation. The survey assessed parental contentment with trial participation, perceived influence of the trial on care and health, emotional consequences of participation, and awareness of typical clinical trial characteristics on 6-point Likert scales. Results Complete responses were received from 123 parents (52% of involved families). Twenty percent of parents did not remember participation. Those who remembered participation reported high contentment with overall trial participation (median 5.00), but not with follow-up (median 3.00). Most parents did not perceive any influence of the trial on care (median 2.00) and health (median 2.43). Almost all parents reported satisfaction and pride (median 4.40), while a minority of parents reported anxiety and stress (median 1.44) or guilt (median 1.33) related to trial participation. A relevant minority was unaware of typical trial characteristics (median 4.20; 27% being unaware). Conclusions Overall, parents reported positive experiences and little emotional distress long term after participation. Future efforts to improve the practice of neonatal clinical trials should focus on ensuring effective communication about the concept and characteristics of a clinical trial during consent discussions and on the follow-up after the trial.


2013 ◽  
Vol 31 (5) ◽  
pp. 536-542 ◽  
Author(s):  
Joseph M. Unger ◽  
Dawn L. Hershman ◽  
Kathy S. Albain ◽  
Carol M. Moinpour ◽  
Judith A. Petersen ◽  
...  

Purpose Studies have shown an association between socioeconomic status (SES) and quality of oncology care, but less is known about the impact of patient SES on clinical trial participation. Patients and Methods We assessed clinical trial participation patterns according to important SES (income, education) and demographic factors in a large sample of patients surveyed via an Internet-based treatment decision tool. Logistic regression, conditioning on type of cancer, was used. Attitudes toward clinical trials were assessed using prespecified items about treatment, treatment tolerability, convenience, and cost. Results From 2007 to 2011, 5,499 patients were successfully surveyed. Forty percent discussed clinical trials with their physician, 45% of discussions led to physician offers of clinical trial participation, and 51% of offers led to clinical trial participation. The overall clinical trial participation rate was 9%. In univariate models, older patients (P = .002) and patients with lower income (P = .001) and education (P = .02) were less likely to participate in clinical trials. In a multivariable model, income remained a statistically significant predictor of clinical trial participation (odds ratio, 0.73; 95% CI, 0.57 to 0.94; P = .01). Even in patients age ≥ 65 years, who have universal access to Medicare, lower income predicted lower trial participation. Cost concerns were much more evident among lower-income patients (P < .001). Conclusion Lower-income patients were less likely to participate in clinical trials, even when considering age group. A better understanding of why income is a barrier may help identify ways to make clinical trials better available to all patients and would increase the generalizability of clinical trial results across all income levels.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18156-e18156
Author(s):  
Edward S. Kim ◽  
Dax Kurbegov ◽  
Patricia A. Hurley ◽  
David Michael Waterhouse

e18156 Background: Oncology clinical trial participation rates remain at historic lows. There are many barriers that impede participation. Understanding those barriers, from the perspective of cancer clinical trialists, will help develop solutions to increase physician and site engagement, with the goal of improving accrual rates and advancing cancer treatment. Methods: Physician investigators and research staff from community-based and academic-based research sites were surveyed during ASCO’s Research Community Forum (RCF) Annual Meeting (N = 159) and through a pre-meeting survey (N = 124) in 2018. Findings and potential solutions were discussed during the meeting. Results: 84% of respondents (n = 84) reported that it took 6-8 months to open a trial and 86% (n = 81) reported that trials had unnecessary delays 70% of the time. The top 10 barriers to accrual identified were: insufficient staffing resources, restrictive eligibility criteria, physician buy-in, site access to trials, burdensome regulatory requirements, difficulty identifying patients, lack of suitable trials, sponsor and contract research organization requirements, patient barriers, and site cost-benefit. Respondents shared strategies to address these barriers. Conclusions: The current state of conducting clinical trials is not sustainable and hinders clinical trial participation. New strategies are needed to ensure patients and practices have access to trials, standardize and streamline processes, reduce inefficiencies, simplify trial activation, reduce regulatory burden, provide sufficient compensation to sites, engage the community and patients, educate the public, and increase collaborations. The ASCO RCF offers resources, available to the public, that offer practical strategies to overcome barriers to clinical trial accrual and has ongoing efforts to facilitate oncology practice participation in clinical trials.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14092-e14092
Author(s):  
Dax Kurbegov ◽  
Patricia A. Hurley ◽  
David Michael Waterhouse ◽  
Grzegorz S. Nowakowski ◽  
Edward S. Kim

e14092 Background: Current methods to assess trial sites for clinical trial participation are onerous, with unnecessary redundancies and no-value steps that impact research site resources and clinical trial participation. This project sought stakeholder feedback on recommendations to transform industry sponsor and contract research organization (CRO) processes for evaluating sites for trials. Methods: An ASCO task force developed recommendations to improve the feasibility assessment process and standardize and centralize questions and forms. A survey was conducted with sites, industry trial sponsors, and CROs to obtain feedback and assess buy-in for the recommendations. Results: Respondents were from 28 oncology research sites (19 academic, 9 community-based), 8 sponsors, and 4 CROs. All stakeholders agreed that the current process is burdensome (93% sites, 90% sponsors, 100% CROs), standardization will improve the process (86% sites, 87% sponsors, 75% CROs). All agreed a centralized portal will reduce burdens (93% sites, 100% sponsors, 75% CROs) and expedite trial start-up (89% sites, 100% sponsors, 75% CROs). Site certification was a viable option for sites (86%) and CROs (75%), but less so for sponsors (57%). Most respondents preferred a two-tier model: 1) a short site questionnaire followed by a pre-study visit for new interactions, and 2) only a pre-study site visit or a teleconference if there is an existing relationship. The greatest benefits were time savings, expedited start-up, reduction in personnel resources, and cost savings. The greatest barriers to adoption were buy-in and alignment from sponsors/CROs and insufficient information about site or protocol. Top predictors of a site’s success on a trial were physician engagement, available patients, and site experience. Conclusions: Site feasibility assessments are important for all stakeholders to establish trial suitability. However, current methods impose tremendous burdens on site resources (reported by authors elsewhere). While this sample is limited, the proposed process and standardization changes show promise to reduce burdens and costs for all stakeholders and expedite patient enrollment onto clinical trials.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4965-4965
Author(s):  
Gygeria Manuel ◽  
Amy Ayers ◽  
Jonathan Berman ◽  
Shannon Blee ◽  
Claire Sibold ◽  
...  

Abstract Background: Although the incidence of non-Hodgkin lymphoma (NHL) is lower in minority populations, there is a difference in presentation, survivorship and participation in clinical trials (Becnel et al., 2017). African American patients with diffuse large B-cell lymphoma (DLBCL) present with more aggressive features including higher lactate dehydrogenase, increased frequency of B-symptoms, and higher rate of HIV co-infection, while also presenting at a younger age than other patients. (Tiu et al., 2020). Given the association of race with lymphoma presentation and outcomes, minority participation in clinical trials is of vital importance when developing novel therapies. There have been efforts to increase participation of African Americans in cancer clinical trials including patient navigation outreach which resulted in improvement of 9% to 16% of patients approached (Fouad et al., 2016). However, a recent study illustrated that for DLBCL, acute myeloid leukemia, and acute lymphoblastic leukemia, individuals of African descent represented 1.5%, 2.3%, and 6.7% of clinical trial participants, respectively (Gopishetty et al., 2020). We are conducting the current study to identify factors that influence decisions regarding clinical trial participation in African American patients with NHL. Methods: We are identifying African American patients with diffuse large B cell lymphoma and follicular lymphoma who enrolled in a therapeutic clinical trial at Emory University between 2010-2020. We will utilize the electronic medical record to identify patient characteristics such as distance from medical facility, insurance status, type of insurance, comorbidities, education status, type of diagnosis, and race of diagnosing physician. This data will compare African American patients who participated in clinical trials to those who did not participate as part of their initial treatment, specifically comparing baseline characteristics of interest between the groups. Furthermore, the data mention above will be compared between African American and white patients. We are also conducting interviews with a selected group of African American patients that have opted to participate in therapeutic clinical trials to gain a thorough understanding of the barriers and benefits they endured during their experience. The interview questions are based on prior knowledge of clinical trials, distance to facility, religious/ spiritual belief, trust of the physician, additional expenses, and time corresponded to treatment. Patients are asked to rate the importance each factor in their decision to participate and elaborate on points most specific to them. In addition, the interview allows for discussion of possible factors that challenged their participation in clinical trials which may allow for insight on low participation levels nationally. Furthermore, we are going to target patients who enrolled on clinical trials and will subsequently identify patients who did not participate in studies to identify differences in perception of treatment and clinical investigation. This project is partnered with Accounting for the High Enrollment of African Americans in Winship Cancer Institute's Clinical Trials, at Emory University. Conclusions:This study is currently enrolling patients and will answer key questions related to clinical trial participation in African American patients with lymphoma. We aim for the data collected from this study to assist in creating lymphoma clinical trials that better cater to the unique needs and considerations of African Americans. Disclosures Cohen: Genentech, Takeda, BMS/Celgene, BioInvent, LAM, Astra Zeneca, Novartis, Loxo/Lilly: Research Funding; Janssen, Adaptive, Aptitude Health, BeiGene, Cellectar, Adicet, Loxo/Lilly, AStra ZenecaKite/Gilead: Consultancy.


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