The impact of the COVID-19 pandemic on oncology clinical trial recruitment in an Irish cancer center.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18756-e18756
Author(s):  
Ronan Andrew McLaughlin ◽  
Valerie Madigan ◽  
Maureen O'Grady ◽  
Thamir Andrew Mahgoub ◽  
Roshni Andrew Kalachand ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Informed Consent ◽  
Treatment Options ◽  
Cancer Clinical Trial ◽  
University Hospital ◽  
Cancer Center ◽  
Cancer Clinical Trials ◽  
Number Of Patients ◽  
The Impact

e18756 Background: The COVID-19 pandemic has created unprecedented disruptions to cancer clinical trial research across the world due to a temporary global suspension of patients’ recruitment to cancer clinical trials. Access to clinical trials permits better treatment options and best clinical practice standards for patients with cancer. We present the impact of the COVID-19 pandemic on cancer clinical trial activity at the Cancer Clinical Trials Unit (CCTU) at the Mid-Western Cancer Centre, University Hospital Limerick (UHL). Over the last 4 years 28 clinical trials, both interventional and translational, have opened here, across a variety of primary disease sites, with 5 trials opened in 2017, 11 in 2018, 7 in 2019 but only 2 in the first 10 months of 2020 until 3 further trials were opened in December. Methods: CCTU records were reviewed to identify the number of patients screened and consented to participate in cancer clinical trials at UHL in 2020, which were compared directly with corresponding numbers for 2019. Results: In 2019, 17 clinical trials were open and recruiting at the CCTU, UHL. During 2020, 19 trials were recruiting although during the 1st surge of the COVID-19 pandemic recruitment was essentially suspended and CCTU staff were redeployed throughout the hospital. 1st Six months 2020 vs 2019 In the six months from January 2020 until the end of June 2020, 99 patients were screened and only 15 (15.2%) signed informed consent to participate in a cancer clinical trial. When these figures are directly compared with the first six months of 2019, there is a 33% reduction in patients screened for participation (147 vs 99) and a 60% reduction in patients consented (37 vs 15) to clinical trials. 12 Months 2020 vs 2019 In total during 2019, 376 patients were screened for inclusion to participate and 49 (13%) patients signed informed consent to participate in a clinical trial within CCTU at UHL. In 2020, 914 patients were screened for participation with 51 patients consented to participate (5.6%). The majority (45/51 (88%)) of patients consented to cancer clinical trials in 2020 at the CCTU, UHL were recruited to translational based studies and only 6 (12%) consented to interventional studies compared with 2019 when 30/49 (61%) consented to translational and 30/49 (39%) to interventional studies. Conclusions: During the COVID-19 pandemic, the percentage of patients consented to participation in a clinical trial reduced significantly, as compared to the previous year (5.6% vs 13%). Fewer interventional studies have recruited patients during 2020. As we enter the third surge of COVID-19 infections in Ireland, we must continue to monitor and identify effective strategies to navigate the ever-changing situation for cancer clinical trials, in an attempt to maintain access to high quality cancer clinical trial opportunities for our patients.

Prospective Evaluation of Cancer Clinical Trial Accrual Patterns: Identifying Potential Barriers to Enrollment

2001 ◽  
Vol 19 (6) ◽  
pp. 1728-1733 ◽  
Author(s):  
Primo N. Lara ◽  
Roger Higdon ◽  
Nelson Lim ◽  
Karen Kwan ◽  
Michael Tanaka ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Private Insurance ◽  
Cancer Clinical Trial ◽  
Cancer Center ◽  
Trial Participation ◽  
Cancer Clinical Trials ◽  
Eligibility Criteria ◽  
Clinical Trial Accrual ◽  
Patient Accrual

PURPOSE: Well-conducted cancer clinical trials are essential for improving patient outcomes. Unfortunately, only 3% of new cancer patients participate in clinical trials. Barriers to patient accrual in cancer clinical trials must be identified and overcome to increase patient participation. MATERIALS AND METHODS: We prospectively tracked factors that potentially affected patient accrual into cancer clinical trials at the University of California Davis Cancer Center. Oncologists seeing new outpatients were asked to complete questionnaires regarding patient characteristics and the physician’s decision-making on patient eligibility, protocol availability, and patient opinions on participation. Statistical analysis was performed to correlate these parameters with subsequent protocol accrual. RESULTS: There were 276 assessable patients. At the initial visits, physicians did not consider clinical trials in 38% (105/276) of patients principally because of a perception of protocol unavailability and poor performance status. Physicians considered 62% (171/276) of patients for participation in clinical trials. Of these, only 53% (91/171) had an appropriate protocol available for site and stage of disease. Seventy-six of 90 patients (84%) with available protocols met eligibility criteria for a particular study. Only 39 of 76 patients (51%) agreed to participate in cancer clinical trials, for an overall accrual rate of 14% (39/276). The remainder (37/76, 49%) declined trial participation despite meeting eligibility criteria. The most common reasons were a desire for other treatment (34%), distance from the cancer center (13%), patient refusal to disclose reason (11%), and insurance denial (8%). Patients with private insurance were less likely to enroll in clinical trials compared to those with government-funded insurance (OR, 0.34; P = .03; 95% CI, 0.13 to 0.9). CONCLUSION: Barriers to cancer clinical trial accrual can be prospectively identified and addressed in the development and conduct of future studies, which may potentially lead to more robust clinical trials enrollment. Investigation of patient perceptions regarding the clinical trials process and the role of third party–payers is warranted.

Improving Accrual of Adolescents and Young Adults and Underrepresented Minorities with Leukemia to Children's Oncology Group Clinical Trials: A Novel Collaborative Approach to Address Disparities in Leukemia

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 845-845
Author(s):  
Nupur Mittal ◽  
Mario Martinez ◽  
Johnathan Davidson ◽  
Paul Kent ◽  
Lisa Giordano ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Nurse Practitioners ◽  
Cancer Clinical Trial ◽  
Direct Result ◽  
Insurance Status ◽  
Hispanic Children ◽  
Number Of Patients ◽  
Clinical Trial Enrollment ◽  
The Impact

Abstract Background: It is accepted that the dramatic historical decrease in mortality from ALL and AML in children and more recently AYAs is directly related to improved participation in NCI sponsored COG clinical trials. It is also known that African-American (AA) and Hispanic children, Hispanic females, and particularly AYAs 15 to 39 years are under-represented in COG clinical trials and may benefit from targeted attention. AA and Hispanic children with ALL and AML have worse survival than white and Asian children even with modern therapy where cure rates have improved drastically. Access to standard accepted chemotherapy for leukemia, socio-economic status and insurance status, differences in disease phenotype and pharmacogenetic variations play a role in these racial and ethnic disparities. AYAs with leukemia have experienced variable improvement in survival over the past two decades due partly to insufficient cancer clinical trial enrollment. Uninsured, older patients and those treated by non-pediatric oncologists were less likely to enroll onto clinical trials. Multiple studies of ALL in North America and Europe have shown AYA patients treated with pediatric "inspired" protocols have better outcomes than AYA patients treated with protocols designed for adults. Enhancing access to quality cancer care in a timely manner in these underrepresented populations (AYA, non white, or under-insured) has emerged as a priority area in oncology. In 2008, to improve access to this largely underserved population, two COG institutions (University of Illinois at Chicago (UIC) and Rush University) and a non-member hospital (John H Stroger Hospital of Cook County) created a unified COG program utilizing one lead IRB and one research team. This study assesses the impact that the collaborative UIC/Rush/Stroger COG program had on clinical trial enrollment for minority underserved and AYA patients with leukemia (ALL and AML). Methods: A retrospective comparative analyses of COG enrollment data from 2002-2008 and 2008-2014 (pre vs. post-merger) for all patients with ALL and AML by race/ethnicity, age at diagnosis, gender, insurance status, clinical trial type (biology, registry, therapeutic) , and leukemia type was completed. Information regarding the number of COG clinical trials available to enrolment and primary oncologists of enrollees' pre and post merger was collected. Results: The comparison of the number of patients enrolled pre-merger and post-merger by various variables is shown in table 1. A total of 40 enrolments with 9 being for therapeutic trials occurred at Stroger Hospital, a site with no access to COG trials prior to the merger. A total of 13 ALL patients and 5 AML patients were enrolled at Stroger Hospital, 7 of whom were uninsured (39%). Nine Pediatric Oncologists, 6 Medical Oncologists and 3 Pediatric nurse practitioners (18 total providers) were engaged in post-merger COG enrollments compared to 6 Pediatric and only 1 Medical Oncologist (7 total providers) engaged pre-merger across the three institutions. Conclusions: Significant increase in COG leukemia trial availability and enrollment especially for under-represented (non-white, underinsured) minorities and AYAs was a direct result of the creation of the novel UIC/Rush/Stroger COG Clinical Trials program. Cancer clinical trial participation has directly led to improved disease free survival and lower cancer death rates. Collaboration between institutions and Medical and Pediatric Oncologists is critical to participation of AYA's with leukemia in NCI sponsored clinical trials. Improving access to these clinical trials is essential to addressing current disparities in leukemia survival. The UIC/Rush/Stroger COG Program serves as a model for improved collaboration between competing institutions and specialists within institutions to increase access to current clinical trials for minority and AYA patients with leukemia. Disclosures No relevant conflicts of interest to declare.

Practical Aspects of Implementing and Applying Health Care Cloud Computing Services and Informatics to Cancer Clinical Trial Data

2021 ◽  
pp. 826-832
Author(s):  
Jay G. Ronquillo ◽  
William T. Lester
Keyword(s):  
Health Care ◽  
Clinical Trial ◽  
Cancer Research ◽  
Cloud Computing ◽  
Clinical Trials ◽  
Laboratory Tests ◽  
Cancer Clinical Trial ◽  
Cancer Clinical Trials ◽  
Precision Oncology ◽  
Oncology Research

PURPOSE Cloud computing has led to dramatic growth in the volume, variety, and velocity of cancer data. However, cloud platforms and services present new challenges for cancer research, particularly in understanding the practical tradeoffs between cloud performance, cost, and complexity. The goal of this study was to describe the practical challenges when using a cloud-based service to improve the cancer clinical trial matching process. METHODS We collected information for all interventional cancer clinical trials from ClinicalTrials.gov and used the Google Cloud Healthcare Natural Language Application Programming Interface (API) to analyze clinical trial Title and Eligibility Criteria text. An informatics pipeline leveraging interoperability standards summarized the distribution of cancer clinical trials, genes, laboratory tests, and medications extracted from cloud-based entity analysis. RESULTS There were a total of 38,851 cancer-related clinical trials found in this study, with the distribution of cancer categories extracted from Title text significantly different than in ClinicalTrials.gov ( P < .001). Cloud-based entity analysis of clinical trial criteria identified a total of 949 genes, 1,782 laboratory tests, 2,086 medications, and 4,902 National Cancer Institute Thesaurus terms, with estimated detection accuracies ranging from 12.8% to 89.9%. A total of 77,702 API calls processed an estimated 167,179 text records, which took a total of 1,979 processing-minutes (33.0 processing-hours), or approximately 1.5 seconds per API call. CONCLUSION Current general-purpose cloud health care tools—like the Google service in this study—should not be used for automated clinical trial matching unless they can perform effective extraction and classification of the clinical, genetic, and medication concepts central to precision oncology research. A strong understanding of the practical aspects of cloud computing will help researchers effectively navigate the vast data ecosystems in cancer research.

Identification of Cancer Care and Protocol Characteristics Associated With Recruitment in Breast Cancer Clinical Trials

2008 ◽  
Vol 26 (27) ◽  
pp. 4458-4465 ◽  
Author(s):  
Julie Lemieux ◽  
Pamela J. Goodwin ◽  
Kathleen I. Pritchard ◽  
Karen A. Gelmon ◽  
Louise J. Bordeleau ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trial ◽  
Clinical Trials ◽  
Cancer Care ◽  
Primary Objective ◽  
Cancer Clinical Trials ◽  
Cooperative Groups ◽  
Number Of Patients ◽  
Trial Protocols ◽  
Few Data

Purpose It is estimated that only 5% of patients with cancer participate in a clinical trial. Barriers to participation may relate to available protocols, physicians, and patients, but few data exist on barriers related to cancer care environments and protocol characteristics. Methods The primary objective was to identify characteristics of cancer care environments and clinical trial protocols associated with a low recruitment into breast cancer clinical trials. Secondary objectives were to determine yearly recruitment fraction onto clinical trials from 1997 to 2002 in Ontario, Canada, and to compare recruitment fraction among years. Questionnaires were sent to hospitals requesting characteristics of cancer care environments and to cooperative groups/pharmaceutical companies for information on protocols and the number of patients recruited per hospital/year. Poisson regression was used to estimate the recruitment fraction. Results Questionnaire completion rate varied between 69% and 100%. Recruitment fraction varied between 5.4% and 8.5% according to year. More than 30% of patients were diagnosed in hospitals with no available trials. In multivariate analysis, the following characteristics were associated with recruitment: use of placebo versus not (relative risk [RR] = 0.80; P = .05), nonmetastatic versus metastatic trial (RR = 2.80; P < .01), and for nonmetastatic trials, protocol allowing an interval of 12 weeks or longer versus less than 12 weeks (from diagnosis, surgery, or end of therapy) before enrollment (RR = 1.36; P < .01). Conclusion Allowable interval of 12 weeks or longer to randomly assign patients in clinical trials could help recruitment. In our study, absence of an available clinical trial represented the largest barrier to recruitment.

Integrating clinical pharmacy services into patient care in an early-phase clinical trial clinic.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18228-e18228
Author(s):  
Dazhi Liu ◽  
Thu Oanh Dang ◽  
Stephen Harnicar ◽  
Katherine Kargus ◽  
Lauren A Evans ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Supportive Care ◽  
Clinical Pharmacist ◽  
Early Phase ◽  
Treatment Options ◽  
Cancer Center ◽  
Protocol Violation ◽  
Patients With Cancer ◽  
The Impact

e18228 Background: Early phase clinical trials have broadened treatment options for patients with cancer. Expert management of these new therapies is essential to positive patient outcomes. At Memorial Sloan Kettering Cancer Center, the Developmental Therapeutic Center (DTC) satisfies this need. Oncology clinical pharmacists collaborate with other healthcare professionals to maximize the benefits of drug therapy and minimize toxicities. The purpose of this project is to describe the interventions from a clinical pharmacist assigned to the DTC. Methods: A clinical pharmacist joined DTC to serve adult patients with cancer undergoing clinical trials. The clinical pharmacist acted as a liaison between pharmacy team and medical team, and sees patients during their trial eligibility screening and follow-up visits. The interventions were documented by the clinical pharmacist in patients’ medical charts and email communications. All interventions during 1 month were retrospectively collected and categorized into supportive care optimization, protocol violation prevention, and operational. Results: The oncology clinical pharmacist was involved in 115 patient visits for trial eligibility screening or protocol follow-up. A total of 769 interventions were addressed including supportive care optimization (40.2%), protocol violation prevention (24.7%), and operational (35.1%). Conclusions: The oncology clinical pharmacist is actively engaged in many aspects of cancer care at the early phase trial clinic. Our results demonstrate the vital role of an oncology clinical pharmacist. The impact of these categorized intervention areas would require a formal outcome and cost-saving analysis. [Table: see text]

Accrual of Black participants to cancer clinical trials following a five-year prospective initiative of community outreach and engagement.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 100-100
Author(s):  
Carmen E. Guerra ◽  
Vicki Sallee ◽  
Wei-Ting Hwang ◽  
Brenda Bryant ◽  
Armenta L. Washington ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Catchment Area ◽  
Community Outreach ◽  
Fold Increase ◽  
Cancer Center ◽  
Black Communities ◽  
Cancer Clinical Trials ◽  
Black Patients ◽  
Clinical Trial Accrual

100 Background: Accrual of Black participants to cancer clinical trials remains a major challenge across the country. Here, we report the outcomes of a five-year initiative of community outreach and engagement to improve enrollment of adult Black participants to clinical trials at the Abramson Cancer Center (ACC) at the University of Pennsylvania. Methods: Primary metrics were the percentage of Black patients among all cancer cases in our catchment area, the percentage of adult Black patients cared for at the ACC, and the percentage of adult Black participants enrolled on the three types of NCI-defined clinical trials. Results: In 2014, at baseline, Black residents comprised 19% of the population and 16.5% of cancer cases in our catchment area surrounding Philadelphia, but only 11.1% of ACC patients were Black. The percentages of Black participants accrued onto treatment, non-therapeutic interventional, and non-interventional trials were 12.2%, 8.3%, and 13.0%, respectively. We then established a center-wide program with community guidance to address these gaps. Key elements of the program included: 1) culturally tailored marketing strategies for cancer clinical trials; 2) plans for each protocol to facilitate Black participant enrollment; 3) new partnerships with faith-based organizations serving Black communities to conduct educational events about clinical trials; 4) pilot programs with Lyft and Ride Health to address transportation barriers; 5) patient education by nurse navigators regarding cancer and clinical trials; and 6) an improved informed consent process. These efforts reached more than 10,000 individuals in venues including churches, neighborhoods, community parks and centers, and health centers with formats ranging from educational forums to wellness fairs. Reassessing metrics in 2018, we found that the percentage of Black patients seen at ACC had increased to 16.2%, matching the percentage of Black cancer patients among all cancer cases in our catchment area (16.5%). Total cancer clinical trial accrual had increased from 9,308 participants in 2014 to 13,170 in 2018 (41.5% increase). The percentages of Black participants accrued onto treatment, non-therapeutic interventional, and non-interventional trials were 23.9%, 33.1%, and 22.5%, respectively – a 1.7- to 4.0-fold increase in five years and higher than the percentage of Black patients seen at the ACC. Conclusions: Our multifaceted, community-based engagement initiative to encourage clinical trial enrollment was associated with improved accrual of Black participants to cancer clinical trials. These findings also suggest that gaps in access to cancer centers are a key factor driving access to clinical trials. Medicaid expansion occurred concurrently in all states in our catchment area and its impact on accrual merits further research.

Strategic Physician Communication and Oncology Clinical Trials

1999 ◽  
Vol 17 (10) ◽  
pp. 3324-3332 ◽  
Author(s):  
Terrance L. Albrecht ◽  
Christina Blanchard ◽  
John C. Ruckdeschel ◽  
Michael Coovert ◽  
Rebecca Strongbow
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Physician Behavior ◽  
Cancer Center ◽  
Coding System ◽  
Patient Centered ◽  
Number Of Patients ◽  
Oncology Clinical Trials ◽  
Primary Means ◽  
Analysis System

PURPOSE: Clinical trials are the primary means for determining new, effective treatments for cancer patients, yet the number of patients that accrue is relatively limited. The purpose of this study was to explore the relationship between physician behavior and patient accrual to a clinical trial by videotaping the interaction. PATIENTS AND METHODS: Forty-eight patient-physician interactions involving 12 different oncologists were videotaped in several clinics at the H. Lee Moffitt Cancer Center and Research Institute (Tampa, FL). The purpose of each interaction was to present the possibility of a clinical trial to the patient. A coding system, the Moffitt Accrual Analysis System, was developed by the authors to code behaviors that represented both the legal-informational and social influence models of communication behavior. Thirty-two patients agreed to participate in the clinical trial. RESULTS: Videotaping was found to be a viable, valid, and reliable method for studying the interaction. Physicians who were observed to use both models of influence were found to enroll more patients. Thus, patients were more likely to accrue to the trial when their physician verbally presented items normally included in an informed consent document and when they behaved in a reflective, patient-centered, supportive, and responsive manner. Discussion of benefits, side effects, patient concerns and resources to manage the concerns were all associated with accrual. CONCLUSION: This research has implications for modifying physician behavior and, thus, increasing the numbers of patients accruing to oncology clinical trials.

The impact of NCI-sponsored network group clinical trials on guideline care and new drug indications.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6604-6604
Author(s):  
Joseph M. Unger ◽  
Van T. Nghiem ◽  
Dawn L. Hershman ◽  
Riha Vaidya ◽  
Michael Leo LeBlanc ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Clinical Guidelines ◽  
Research Network ◽  
Phase Iii ◽  
Cancer Clinical Trials ◽  
New Drug ◽  
Public Data ◽  
Drug Approvals ◽  
The Impact

6604 Background: National Cancer Institute Clinical Trial Network (NCTN) groups serve a vital role in identifying new antineoplastic regimens. However, the clinical impact of their trials has not been systematically examined. We analyzed the influence of network group cancer clinical trials on clinical guidelines and new drug approvals. Methods: We evaluated Phase III cancer clinical trials which the SWOG Cancer Research Network coordinated or participated in (1980-2017). Included trials were completed and its results published. A documented practice influential (DPI) trial was one with verified influence on National Comprehensive Cancer Network (NCCN) clinical guidelines (available starting in 1996) or on U.S. Food and Drug Administration (FDA)-approved package inserts. We estimated the rate of DPI trials overall and over time. The total federal investment supporting the set of trials was also determined based on public data. Results: In total, 182 trials comprising 148,028 patients were studied. We identified 79 DPI studies (43.4%); 73 influenced NCCN guidelines, 12 influenced new drug approvals, and 6 influenced both. The rate of DPI trials was 72.3% (47/65) among formally positive trials (i.e., achieved their protocol specified endpoint) and 27.4% (32/117) among negative trials. Thus 40.5% (32/79) of DPI trials were based on negative studies, half of which (16/32 = 50.0%) reaffirmed standard of care over experimental therapy. There were no differences between DPI and non-DPI trials in key study design characteristics. Total federal investment for the programs conducting the trials was $1.36 billion (USD2017), a rate of $7.5 million per trial, or $17.2 million per DPI trial. Conclusions: Nearly half of all phase III trials by one of the NCTN’s largest groups had documented practice influence on clinical care guidelines or new drug approvals. Even many negative trials impacted guideline recommendations. Compared to the costs of a new drug approval in pharmaceutical companies – typically estimated at > $1 billion – the amount invested by federal funders to provide this valuable evidence was modest. These findings highlight the major role of the NCTN’s clinical trial program in advancing oncology practice.

scholarly journals YouTube Videos as a Source of Information About Clinical Trials: Observational Study (Preprint)

2018 ◽  
Author(s):  
Grace Clarke Hillyer ◽  
Sarah A MacLean ◽  
Melissa Beauchemin ◽  
Corey H Basch ◽  
Karen M Schmitt ◽  
...  
Keyword(s):  
Health Care ◽  
Clinical Trial ◽  
Clinical Trials ◽  
Health Care Professionals ◽  
Cancer Clinical Trial ◽  
Multivariable Logistic Regression Analysis ◽  
Cancer Clinical Trials ◽  
Video Information ◽  
Health Related ◽  
Youtube Videos

BACKGROUND Clinical trials are essential to the advancement of cancer treatment but fewer than 5% of adult cancer patients enroll in a trial. A commonly cited barrier to participation is the lack of understanding about clinical trials. OBJECTIVE Since the internet is a popular source of health-related information and YouTube is the second most visited website in the world, we examined the content of the top 115 YouTube videos about clinical trials to evaluate clinical trial information available through this medium. METHODS YouTube videos posted prior to March 2017 were searched using selected keywords. A snowballing technique was used to identify videos wherein sequential screening of the autofill search results for each set of keywords was conducted. Video characteristics (eg, number of views and video length) were recorded. The content was broadly grouped as related to purpose, phases, design, safety and ethics, and participant considerations. Stepwise multivariable logistic regression analysis was conducted to assess associations between video type (cancer vs noncancer) and video characteristics and content. RESULTS In total, 115 videos were reviewed. Of these, 46/115 (40.0%) were cancer clinical trials videos and 69/115 (60.0%) were noncancer/general clinical trial videos. Most videos were created by health care organizations/cancer centers (34/115, 29.6%), were oriented toward patients (67/115, 58.3%) and the general public (68/115, 59.1%), and were informational (79/115, 68.7%); altruism was a common theme (31/115, 27.0%). Compared with noncancer videos, cancer clinical trials videos more frequently used an affective communication style and mentioned the benefits of participation. Cancer clinical trial videos were also much more likely to raise the issue of costs associated with participation (odds ratio [OR] 5.93, 95% CI 1.15-29.46) and advise patients to communicate with their physician about cancer clinical trials (OR 4.94, 95% CI 1.39-17.56). CONCLUSIONS Collectively, YouTube clinical trial videos provided information on many aspects of trials; however, individual videos tended to focus on selected topics with varying levels of detail. Cancer clinical trial videos were more emotional in style and positive in tone and provided information on the important topics of cost and communication. Patients are encouraged to verify and supplement YouTube video information in consultations with their health care professionals to obtain a full and accurate picture of cancer clinical trials to make an adequately informed decision about participation.

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