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Waqar SN, Govindan R. Novel Therapies in Cancer: Trials and Tribulations. Clin Cancer Res 2024; 30:3655-3657. [PMID: 38975940 DOI: 10.1158/1078-0432.ccr-24-1127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 05/28/2024] [Accepted: 06/07/2024] [Indexed: 07/09/2024]
Abstract
Clinical trials are the backbone for advancing therapeutic options for patients diagnosed with cancer. Yet only 7.1% of patients with cancer participate in clinical trials in the United States. In this article, we review some of the reasons for poor accrual and discuss potential solutions. See related article by van Berge Henegouwen et al., p. 3937.
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Affiliation(s)
- Saiama N Waqar
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Ramaswamy Govindan
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
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2
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Iskander GM, Cavazos A, Ejezie CL, Cox V, Cheng H, Perez S, Koong AC, Nguyen J, Herman J, Beddar S, Liao Z, Yeboa DN. Protocol-in-a-Day Workshop: Expediting IRB Approval for Junior and Senior Faculty. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2024:10.1007/s13187-024-02460-7. [PMID: 38914893 DOI: 10.1007/s13187-024-02460-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/17/2024] [Indexed: 06/26/2024]
Abstract
Delays in research protocol development may be a single factor that hinders the career progression of academic faculty. Structured educational guidance during this phase proves crucial in mitigating setbacks in Institutional Review Board (IRB) approval and expediting trial implementation. To address this, the Protocol-in-a-Day (PIAD) workshop, a comprehensive 1-day event involving members from six critical facets of RO clinical trial implementation, was established, offering significant input to individual protocols. Efficacy and satisfaction of the PIAD workshop were assessed through a 5-question survey and the average time from submission to IRB initial approval. The normality of the data was analyzed using the Shapiro-Wilk Test. Nonparametric data was analyzed using a Mann-Whitney U test for significance. A total of 18 protocols that went through the PIAD workshop were activated. The mean time to IRB approval for protocols that went through PIAD was 39.8 days compared to 58.4 days for those that did not go through the PIAD workshop. Based on survey results, 100% of PIAD participants said the PIAD workshop was useful and 94% of participants stated that the PIAD workshop improved the overall quality of their protocol. Participant surveys further highlighted substantial improvements in trial quality, language, and statistical design and revealed that all participants found the workshop helpful. Therefore, both junior and senior faculty benefitted from this educational program during protocol development, as both groups demonstrated shorter times to IRB approval than non-participants. This acceleration not only fosters efficient trial implementation but also supports academic faculty in their career development.
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Affiliation(s)
- Geina M Iskander
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Adriana Cavazos
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Chinenye Lynette Ejezie
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Victoria Cox
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Hunter Cheng
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Shelby Perez
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Albert C Koong
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Jonathan Nguyen
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Joseph Herman
- Northwell Health Cancer Institute Radiation Medicine, Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA
| | - Sam Beddar
- Department of Radiation Physics, MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - Zhongxing Liao
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA
| | - Debra Nana Yeboa
- Department of Radiation Oncology, MD Anderson Cancer Center, University of Texas, 1515 Holcombe Blvd. Unit 0097, Houston, TX, 77030-4009, USA.
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3
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Boeker M, Zöller D, Blasini R, Macho P, Helfer S, Behrens M, Prokosch HU, Gulden C. Effectiveness of IT-supported patient recruitment: study protocol for an interrupted time series study at ten German university hospitals. Trials 2024; 25:125. [PMID: 38365848 PMCID: PMC10870691 DOI: 10.1186/s13063-024-07918-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 01/09/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND As part of the German Medical Informatics Initiative, the MIRACUM project establishes data integration centers across ten German university hospitals. The embedded MIRACUM Use Case "Alerting in Care - IT Support for Patient Recruitment", aims to support the recruitment into clinical trials by automatically querying the repositories for patients satisfying eligibility criteria and presenting them as screening candidates. The objective of this study is to investigate whether the developed recruitment tool has a positive effect on study recruitment within a multi-center environment by increasing the number of participants. Its secondary objective is the measurement of organizational burden and user satisfaction of the provided IT solution. METHODS The study uses an Interrupted Time Series Design with a duration of 15 months. All trials start in the control phase of randomized length with regular recruitment and change to the intervention phase with additional IT support. The intervention consists of the application of a recruitment-support system which uses patient data collected in general care for screening according to specific criteria. The inclusion and exclusion criteria of all selected trials are translated into a machine-readable format using the OHDSI ATLAS tool. All patient data from the data integration centers is regularly checked against these criteria. The primary outcome is the number of participants recruited per trial and week standardized by the targeted number of participants per week and the expected recruitment duration of the specific trial. Secondary outcomes are usability, usefulness, and efficacy of the recruitment support. Sample size calculation based on simple parallel group assumption can demonstrate an effect size of d=0.57 on a significance level of 5% and a power of 80% with a total number of 100 trials (10 per site). Data describing the included trials and the recruitment process is collected at each site. The primary analysis will be conducted using linear mixed models with the actual recruitment number per week and trial standardized by the expected recruitment number per week and trial as the dependent variable. DISCUSSION The application of an IT-supported recruitment solution developed in the MIRACUM consortium leads to an increased number of recruited participants in studies at German university hospitals. It supports employees engaged in the recruitment of trial participants and is easy to integrate in their daily work.
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Affiliation(s)
- Martin Boeker
- Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
- Chair of Medical Informatics, Institute of Artificial Intelligence and Informatics in Medicine, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Daniela Zöller
- Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Romina Blasini
- Institute of Medical Informatics, Justus-Liebig-University Gießen, Gießen, Germany
| | - Philipp Macho
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), Mainz University Medical Center, Mainz, Germany
| | - Sven Helfer
- Department of Pediatrics, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Max Behrens
- Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany
| | - Hans-Ulrich Prokosch
- Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Christian Gulden
- Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
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Lawrence CE, Bruce V(NM, Salberg LD, Edwards T, Morales C, Palm M, Bernard GR. Quantitative assessment of the impact of standard agreement templates on multisite clinical trial start up time. J Clin Transl Sci 2023; 7:e204. [PMID: 37830004 PMCID: PMC10565190 DOI: 10.1017/cts.2023.622] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/11/2023] [Accepted: 08/22/2023] [Indexed: 10/14/2023] Open
Abstract
Contracting delays remain a challenge to the successful initiation of multisite clinical research in the US. The Clinical and Translational Science Awards (CTSA) Contracts Processing Study showed average contract negotiation duration of > 100 days for industry-sponsored or investigator-initiated contracts. Such delays create enormous costs to sponsors and to patients waiting to use new evidence-based treatments. With support from the National Institutes of Health's National Center for Advancing Translational Sciences, the Accelerated Clinical Trial Agreement (ACTA) was developed by 25 major academic institutions and medical centers engaged in clinical research in collaboration with the University-Industry Demonstration Partnership and with input from pharmaceutical companies. The ACTA also informed the development of subsequent agreements, including the Federal Demonstration Partnership Clinical Trial Subaward Agreement (FDP-CTSA); both ACTA and the FDP-CTSA are largely non-negotiable agreements that represent pre-negotiated compromises in contract terms agreed upon by industry and/or medical center stakeholders. When the involved parties agree to use the CTSA-developed and supported standard agreement templates as a starting point for negotiations, there can be significant time savings for trials. Use of the ACTA resulted in an average savings of 48 days and use of the FDP-CTSA saved an average of 57 days of negotiation duration.
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Affiliation(s)
- Colleen E. Lawrence
- Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Libby D. Salberg
- Office of Contracts Management, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Terri Edwards
- Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA
| | - Casi Morales
- Pediatrics, Clinical Trials Office, University of Utah, Salt Lake City, UT, USA
| | - Marisha Palm
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Gordon R. Bernard
- Vanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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Loucks TL, Lee-Chavarria D, Harvey J, Paranal R, Denmark S, Flume PA, Chimowitz M, Turan TN. Preparing clinicians to be site investigators in multicenter clinical trials: A training program at an academic medical center. J Clin Transl Sci 2023; 7:e167. [PMID: 37588676 PMCID: PMC10425868 DOI: 10.1017/cts.2023.587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/16/2023] [Accepted: 06/28/2023] [Indexed: 08/18/2023] Open
Abstract
Clinical trials are essential in the translation of biomedical discoveries to new clinical interventions and therapeutics. Successful multisite clinical trials require qualified site investigators with an understanding of the full spectrum of processes and requirements from trial identification through closeout. New site investigators may be deterred by competing demands on their time, the complexity of administrative and regulatory processes for trial initiation and conduct, and limited access to experienced mentor networks. We established a Clinical Trialist Training Program (CTTP) and complimentary Clinical Trials Bootcamp at our institution to address these barriers and increase the number of local site investigators enabled to lead successful clinical trials. An initial cohort of four CTTP scholars received salary support with protected time, didactic training, assistance with study identification and start-up navigation, and quarterly progress meetings. By the end of the 12-month program, this initial cohort identified 33 new trials, utilized feasibility assessments, and reported being on target to sustain their protected time from new clinical trials. Bootcamp attendees demonstrated increased knowledge of resources, offices, and processes associated with clinical trial conduct. Our results support providing compensated protected time, training, and access to experienced clinical research professionals to enable clinicians to become successful site investigators.
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Affiliation(s)
- Tammy L. Loucks
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
- Academic Affairs Faculty and Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC, USA
| | - Diana Lee-Chavarria
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
| | - Jillian Harvey
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
- Department of Health Care Leadership and Management, College of Health Professions, Medical University of South Carolina, Charleston, SC, USA
| | - Rechelle Paranal
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
| | - Signe Denmark
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
- Office of Clinical Research, Medical University of South Carolina, Charleston, SC, USA
| | - Patrick A. Flume
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Marc Chimowitz
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
- Department of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Tanya N. Turan
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA
- Department of Neurology, College of Medicine, Medical University of South Carolina, Charleston, SC, USA
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6
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Mudaranthakam DP, Pepper S, Alsup A, Lin T, Streeter N, Thompson J, Gajewski B, Mayo MS, Khan Q. Bolstering the complex study start-up process at NCI cancer centers using technology. Contemp Clin Trials Commun 2022; 30:101050. [PMID: 36506825 PMCID: PMC9727641 DOI: 10.1016/j.conctc.2022.101050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/14/2022] [Accepted: 11/29/2022] [Indexed: 12/03/2022] Open
Abstract
Background The study startup process for interventional clinical trials is a complex process that involves the efforts of many different teams. Each team is responsible for their startup checklist in which they verify that the necessary tasks are done before a study can move on to the next team. This regulatory process provides quality assurance and is vital for ensuring patient safety [10]. However, without having this startup process centralized and optimized, study approval can take longer than necessary as time is lost when it passes through many different hands. Objective This manuscript highlights the process and the systems that were developed at The University of Kansas Comprehensive Cancer Center regarding the study startup process. To facilitate this process the regulatory management, site development, cancer center administration, and the Biostatistics & Informatics Shared Resources (BISR) teams came together to build a platform aimed at streamlining the startup process and providing a transparent view of where a study is in the startup process. Process Ensuring the guidelines are clearly articulated for the review criteria of each of the three review boards, i.e., Disease Working Group (DWG), Executive Resourcing Committee (ERC), and Protocol Review and Monitoring Committee (PRMC) along with a system that can track every step and its history throughout the review process. Results Well-defined processes and tracking methodologies have allowed the operations teams to track each study closely and ensure the 90-day and 120-day deadlines are met, this allows the operational team to dynamically prioritize their work daily. It also provides Principal investigators a transparent view of where their study stands within the study startup process and allows them to prepare for the next steps accordingly. Conclusion/future work The current process and technology deployment has been a significant improvement to expedite the review process and minimize study startup delays. There are still a few opportunities to fine-tune the study startup process; an example of which includes automatically informing the operational managers or the study teams to act upon deadlines regarding study review rather than the current manual communication process which involves them looking it up in the system which can add delays.
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Affiliation(s)
- Dinesh Pal Mudaranthakam
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA,The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA,Corresponding author. Department of Biostatistics & Data Science, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA.
| | - Sam Pepper
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA,The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
| | - Alexander Alsup
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA,The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
| | - Tara Lin
- The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
| | - Natalie Streeter
- The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
| | - Jeffrey Thompson
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA,The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
| | - Byron Gajewski
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA,The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
| | - Matthew S. Mayo
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA,The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
| | - Qamar Khan
- The University of Kansas Cancer Center, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA
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7
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Paul V, Ferranti LB, Dilts DM. Redesigning the Clinical Trial Development Process as a Global Pharmaceutical Firm: Gaining Velocity via Lean-Sprint. J Pharm Innov 2022. [DOI: 10.1007/s12247-022-09669-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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8
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Nishijima DK, VanBuren JM, Linakis SW, Hewes HA, Myers SR, Tran NK, Ghetti S, Bobinski M, Adelson PD, Roberts I, Holmes JF, Schalick WO, Dean JM, Casper TC, Kuppermann N. Traumatic injury clinical trial evaluating tranexamic acid in children (TIC-TOC): A pilot randomized trial. Acad Emerg Med 2022; 29:862-873. [PMID: 35266589 PMCID: PMC9463410 DOI: 10.1111/acem.14481] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 03/04/2022] [Accepted: 03/06/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND The antifibrinolytic drug tranexamic acid (TXA) improves survival in adults with traumatic hemorrhage; however, the drug has not been evaluated in a trial in injured children. We assessed the feasibility of a large-scale trial evaluating the effects of TXA in children with severe hemorrhagic injuries. METHODS Severely injured children (0 up to 18th birthday) were randomized into a double-blind randomized trial of (1) TXA 15 mg/kg bolus dose, followed by 2 mg/kg/h infusion over 8 h, (2) TXA 30 mg/kg bolus dose, followed by 4 mg/kg/h infusion over 8 h, or (3) normal saline placebo bolus and infusion. The trial was conducted at four pediatric Level I trauma centers in the United States between June 2018 and March 2020. We enrolled patients under federal exception from informed consent (EFIC) procedures when parents were unable to provide informed consent. Feasibility outcomes included the rate of enrollment, adherence to intervention arms, and ability to measure the primary clinical outcome. Clinical outcomes included global functioning (primary), working memory, total amount of blood products transfused, intracranial hemorrhage progression, and adverse events. The target enrollment rate was at least 1.25 patients per site per month. RESULTS A total of 31 patients were randomized with a mean age of 10.7 years (standard deviation [SD] 5.0 years) and 22 (71%) patients were male. The mean time from injury to randomization was 2.4 h (SD 0.6 h). Sixteen (52%) patients had isolated brain injuries and 15 (48%) patients had isolated torso injuries. The enrollment rate using EFIC was 1.34 patients per site per month. All eligible enrolled patients received study intervention (nine patients TXA 15 mg/kg bolus dose, 10 patients TXA 30 mg/kg bolus dose, and 12 patients placebo) and had the primary outcome measured. No statistically significant differences in any of the clinical outcomes were identified. CONCLUSION Based on enrollment rate, protocol adherence, and measurement of the primary outcome in this pilot trial, we confirmed the feasibility of conducting a large-scale, randomized trial evaluating the efficacy of TXA in severely injured children with hemorrhagic brain and/or torso injuries using EFIC.
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Affiliation(s)
- Daniel K Nishijima
- Department of Emergency Medicine, UC Davis School of Medicine, Sacramento, California, USA
| | - John M VanBuren
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Seth W Linakis
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Ohio State University School of Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Hilary A Hewes
- Department of Pediatrics, Division of Pediatric Emergency Medicine, University of Utah School of Medicine, Primary Children's Hospital, Salt Lake City, Utah, USA
| | - Sage R Myers
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Perelman School of Medicine at the University of Pennsylvania, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Nam K Tran
- Department of Pathology and Laboratory Medicine, University of California, Davis, Sacramento, California, USA
| | - Simona Ghetti
- Department of Psychology, University of California, Davis, Davis, California, USA
| | - Matthew Bobinski
- Department of Radiology, UC Davis School of Medicine, Sacramento, California, USA
| | - P David Adelson
- Department of Pediatric Neurosciences, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona, USA
| | - Ian Roberts
- Clinical Trials Unit, London School of Hygiene and Tropical Medicine, London, UK
| | - James F Holmes
- Department of Emergency Medicine, UC Davis School of Medicine, Sacramento, California, USA
| | - Walton O Schalick
- Department of Orthopedics and Rehabilitation, University of Wisconsin, Madison, Wisconsin, USA
| | - J Michael Dean
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - T Charles Casper
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Nathan Kuppermann
- Departments of Emergency Medicine and Pediatrics, UC Davis School of Medicine, Sacramento, California, USA
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9
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Beauchemin M, Santacroce SJ, Bona K, Dang H, Alexander S, Allen K, De Los Santos C, Fisher B, Muñeton-Castaño Y, Ponce O, Vargas S, Sugalski A, Sung L, Parsons S. Rationale and design of Children's Oncology Group (COG) study ACCL20N1CD: financial distress during treatment of acute lymphoblastic leukemia in the United States. BMC Health Serv Res 2022; 22:832. [PMID: 35764995 PMCID: PMC9237978 DOI: 10.1186/s12913-022-08201-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/15/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND The study purpose is to describe trajectories of financial distress for parents of children (ages 1-14.9 years) with newly diagnosed acute lymphoblastic leukemia (ALL). The secondary aim is to identify multilevel factors (child, parent, household, treating institution) that influence change in financial distress over time. METHODS The study uses a prospective cohort design, repeated measurements, and mixed methods. The settings are Children's Oncology Group (COG) institutions participating in the National Cancer Institute Community Oncology Research Program (NCORP). Eligible participants are English- and/or Spanish-speaking parents or legal guardians (hereafter "parents") of index children. Parents are asked to complete a survey during their child's induction (T1) and maintenance therapy (T2), and near treatment completion (T3). Study surveys include items about (a) the child's cancer and clinical course, (b) parental socio-economic status, financial distress and financial coping behaviors, and (c) household material hardships. At least 15 parents will be invited to participate in an optional semi-structured interview. NCORP institutions that enroll at least one parent must complete an annual survey about institution resources that could influence parental financial distress. DISCUSSION The results will inform future interventions to mitigate financial distress for parents of children diagnosed with ALL and could be instructive beyond this disease group. TRIAL REGISTRATION This trial was initially registered with the NCI Clinical Trial Reporting Program ID: NCI-2021-03,567 on June 16, 2021. The study can be found on clinicaltrials.gov, Identifier NCT04928599 .
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Affiliation(s)
- Melissa Beauchemin
- grid.21729.3f0000000419368729Columbia University School of Nursing, New York, NY USA ,grid.21729.3f0000000419368729Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY USA
| | - Sheila Judge Santacroce
- grid.10698.360000000122483208School of Nursing, University of North Carolina Chapel Hill, Chapel Hill, NC USA ,grid.410711.20000 0001 1034 1720Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC USA
| | - Kira Bona
- grid.2515.30000 0004 0378 8438Department of Pediatric Oncology, Division of Hematology/Oncology, Boston Children’s Hospital, Harvard Medical School, Dana-Farber Cancer Institute, Boston, MB USA
| | - Ha Dang
- grid.42505.360000 0001 2156 6853Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA USA
| | | | - Kamala Allen
- grid.42505.360000 0001 2156 6853Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA USA
| | - Crystal De Los Santos
- grid.414149.d0000 0004 0383 4967Driscoll Children’s Hospital, Corpus Christi, TX USA
| | - Beth Fisher
- grid.428158.20000 0004 0371 6071Children’s Healthcare of Atlanta, Atlanta, GA USA
| | | | - Olivia Ponce
- grid.428204.80000 0000 8741 3510Children’s Oncology Group, Monrovia, CA USA
| | - Sarah Vargas
- grid.428204.80000 0000 8741 3510Children’s Oncology Group, Monrovia, CA USA
| | - Aaron Sugalski
- grid.267309.90000 0001 0629 5880University of Texas Health Science Center at San Antonio, San Antonio, TX USA
| | | | - Susan Parsons
- grid.67033.310000 0000 8934 4045Tufts Medical Center, Institute for Clinical Research and Health Policy Studies, Boston, MA USA
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10
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Kagan J, Lassa J, Zuckerman J, Cull E, Boan D, Lysander J, Njoh W, Johnson K, Sardana R, Stern K, Grace B, McNay L, Tegli J. Strategy management in collaborative clinical research partnerships. Contemp Clin Trials Commun 2021; 24:100833. [PMID: 34729443 PMCID: PMC8543383 DOI: 10.1016/j.conctc.2021.100833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 06/29/2021] [Accepted: 08/17/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose Today's clinical trial partnerships frequently join multi-disciplinary investigators and stakeholders, from different countries and cultures, to conduct research with a broad array of goals. This diversity, while a strength, can also foster divergent views about priorities and what constitutes success, thereby posing challenges for management, operations, and evaluation. As a sponsor and partner in such collaborations, we seek to assist and support their development and implementation of sound research strategies, to optimize their efficiency, sustainability, and public health impact. This report describes our efforts using an adaptation of the well-established Kaplan-Norton strategy management paradigm, in our clinical trials setting. We share findings from our first test of the utility and acceptance of this approach for evaluating and managing research strategies in a collaborative clinical research partnership. Results Findings from pilot studies and our first implementation in an ongoing clinical research partnership in Liberia, provide initial support for our hypothesis that an adapted version of the Kaplan-Norton strategy management model can have use in this setting. With leadership from within the partnership, analysis artifacts were gathered, and assessments made using standardized tools. Practical feasibility, resonance of the findings with partners, and convergence with other empirical assessments lend initial support for the view that this approach holds promise for obtaining meaningful, useable results for assessing and improving clinical research management. Conclusions and Implications Engaged leadership, thoughtful timing to align with partnership planning cycles, support for the process, and an eye towards the collaboration's long-term goals appear important for developing model understanding and practice. Skepticism about evaluations, and unease at exposing weaknesses, may hinder the effort. Acceptance of findings and associated opportunities for improvement by group leadership, support a growing sense of validity. Next steps aim to test the approach in other partnerships, streamline the methodology for greater ease of use, and seek possible correlations of strategy management assessments with performance evaluation. There is hardly a better example than the COVID-19 pandemic, to spotlight the need for efficient and effective clinical research partnerships to address global health challenges. While heartened by the collaborative spirit driving the effort so far, we cannot let our enthusiasm lull us into thinking that nobility of purpose or an abundance of good will is sufficient. Careful monitoring and adjustment of clinical research strategy in response to changes (e.g., demographics, pathogen evolution, research acceptance, political and cultural environments) are vital to making the needed adjustments that can guide these programs toward successful outcomes. We hope that our work can raise awareness about the importance, relevance, and feasibility of sound strategy management in clinical research partnerships, especially during this time when there is so much at stake.
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Affiliation(s)
- Jonathan Kagan
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, 5601 Fishers Lane, Rockville, MD, USA
| | - Jerome Lassa
- Frederick National Laboratory for Cancer Research, 5707 Industry Lane, Frederick, MD, USA
| | - Judith Zuckerman
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, 5601 Fishers Lane, Rockville, MD, USA
| | - Ellen Cull
- Frederick National Laboratory for Cancer Research, 5707 Industry Lane, Frederick, MD, USA
| | - David Boan
- Frederick National Laboratory for Cancer Research, 5707 Industry Lane, Frederick, MD, USA
| | - Julia Lysander
- PREVAIL/FHI Clinical, JFK Medical Center, 21st Street, Sinkor, Monrovia, Liberia
| | - Wissedi Njoh
- Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), 21st Street, Monrovia, Liberia.,Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, 5707 Industry Lane, Frederick, MD, USA
| | - Kumblytee Johnson
- PREVAIL/FHI Clinical, JFK Medical Center, 21st Street, Sinkor, Monrovia, Liberia
| | - Ratna Sardana
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, 5601 Fishers Lane, Rockville, MD, USA
| | - Kaytee Stern
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, 5707 Industry Lane, Frederick, MD, USA
| | - Beth Grace
- Grace Consulting Services, LLC, 3508 Woodvalley Dr., Pikesville, MD, USA
| | - Laura McNay
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, US Department of Health and Human Services, 5601 Fishers Lane, Rockville, MD, USA
| | - Jemee Tegli
- PREVAIL/FHI Clinical, JFK Medical Center, 21st Street, Sinkor, Monrovia, Liberia
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11
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Cernik C, Shergina E, Thompson J, Blackwell K, Stephens K, Kimminau KS, Wick J, Mayo MS, Gajewski B, He J, Mudaranthakam DP. Non-cancer clinical trials start-up metrics at an academic medical center: Implications for advancing research. Contemp Clin Trials Commun 2021; 22:100774. [PMID: 34027224 PMCID: PMC8121646 DOI: 10.1016/j.conctc.2021.100774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 03/08/2021] [Accepted: 04/05/2021] [Indexed: 11/15/2022] Open
Abstract
The primary goal for any clinical trial after it receives a funding notification is to receive regulatory approval and initiate the trial for recruitment. Every trial must go through documentation and regulatory process before it can start recruiting participants and collecting data; this initial process of review and approval is known as the study start-up process (SSU). We evaluated the average time taken for studies to receive approvals. Using data from clinical trials conducted at the University of Kansas Medical Center, various times to reach the start of the study were calculated based on the dates of individual study. The results of this analysis showed that chart review studies and investigator-initiated trials had a shorter time to activation than other types of studies. Additionally, single-center studies had a shorter activation time than multi-center studies. The analysis also demonstrated that the overall processing time consistently had been reduced over time. The 2018 year’s trend shows reduced time to study start. SSU process for non-cancer trial on an average requires four to six months. The activation time of the SSU process varied for different study types and scopes.
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Affiliation(s)
- Colin Cernik
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Elena Shergina
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jeffrey Thompson
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Karen Blackwell
- Human Research Protection Program, University of Kansas Medical Center, Kansas City, KS, USA
| | - Kyle Stephens
- Human Research Protection Program, University of Kansas Medical Center, Kansas City, KS, USA
| | - Kim S Kimminau
- Department of Family and Community Medicine, University of Missouri , Columbia, MO, USA
| | - Jo Wick
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Matthew S Mayo
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Byron Gajewski
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jianghua He
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Dinesh Pal Mudaranthakam
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
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12
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Lee SJC, Murphy CC, Gerber DE, Geiger AM, Halm E, Nair RG, Cox JV, Tiro JA, Skinner CS. Reimbursement Matters: Overcoming Barriers to Clinical Trial Accrual. Med Care 2021; 59:461-466. [PMID: 33492049 PMCID: PMC8026490 DOI: 10.1097/mlr.0000000000001509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Accrual to cancer clinical trials is suboptimal. Few data exist regarding whether financial reimbursement might increase accruals. OBJECTIVE The objective of this study was to assess perceptions about reimbursement to overcome barriers to trial accrual. RESEARCH DESIGN This was a cross-sectional survey. SUBJECTS Oncologists identified from the American Medical Association Physician Masterfile. MEASURES We report descriptive statistics, associations of physician characteristics with perceptions of reimbursement, domains, and subthemes of free-text comments. RESULTS Respondents (n=1030) were mostly medical oncologists (59.4%), ages 35-54 (67%), and male (75%). Overall, 30% reported discussing trials with >25% of patients. Barriers perceived were administrative/regulatory, physician/staff time, and eligibility criteria. National Cancer Institute cooperative group participants and practice owners were more likely to endorse higher reimbursement. Respondents indicated targeted reimbursement would help improve infrastructure, but also noted potential ethical problems with reimbursement for discussion (40.7%) and accrual (85.9%). Free-text comments addressed reimbursement sources, recipients, and concerns about the real and apparent conflict of interest. CONCLUSIONS Though concerns about a potential conflict of interest remain paramount and must be addressed in any new system of reimbursement, oncologists believe reimbursement to enhance infrastructure could help overcome barriers to trial accrual.
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Affiliation(s)
- Simon J. Craddock Lee
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, Dallas, TX
| | - Caitlin C. Murphy
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, Dallas, TX
| | - David E. Gerber
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, Dallas, TX
| | - Ann M. Geiger
- Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
| | - Ethan Halm
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, Dallas, TX
| | - Rasmi G. Nair
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center
| | - John V. Cox
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Jasmin A. Tiro
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, Dallas, TX
| | - Celette Sugg Skinner
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, Dallas, TX
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13
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Peters GW, Tao W, Wei W, Miccio JA, Jethwa KR, Cecchini M, Johung KL. Publication Bias in Gastrointestinal Oncology Trials Performed over the Past Decade. Oncologist 2021; 26:660-667. [PMID: 33728733 DOI: 10.1002/onco.13759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 02/26/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Randomized controlled trials (RCTs) are the gold standard for evidence-based practice, but their development and implementation is resource intensive. We aimed to describe modern RCTs in gastrointestinal (GI) cancer and identify predictors of successful accrual and publication. MATERIALS AND METHODS ClinicalTrials.gov was queried for phase III GI cancer RCTs opened between 2010 and 2019 and divided into two cohorts: past and recruiting. Past trials were analyzed for predictors of successful accrual and the subset with ≥3 years follow-up were analyzed for predictors of publication. Univariate and multivariable (MVA) logistic regression were used to identify covariates associated with complete accrual and publication status. RESULTS A total of 533 GI RCTs were opened from 2010 to 2019, 244 of which are still recruiting. In the "past" trials cohort (235/533) MVA, Asian continent of enrollment was a predictor for successful accrual, whereas trials with prolonged enrollment (duration longer than median of 960 days) trended to failed accrual. Predictors for publication on MVA included international enrollment and accrual completion. Sponsorship was not associated with accrual or publication. Notably, 33% of past trials remain unpublished, and 60% of trials that were closed early remain unpublished. CONCLUSION Accrual rate and the primary continent of enrollment drive both trial completion and publication in GI oncology. Accrual must be streamlined to enhance the impact of RCTs on clinical management. A large portion of trials remain unpublished, underscoring the need to encourage dissemination of all trials to, at a minimum, inform future trial design. IMPLICATIONS FOR PRACTICE Two-thirds of gastrointestinal (GI) oncology phase III randomized controlled trials successfully accrue; however, one third of these trials are unpublished and more than half of trials that close early are unpublished. The strongest predictors for publication are successful accrual and international collaborations. Initiatives to optimize the trial enrollment process need to be explored to maximize the potential for trials to engender progress in clinical practice. Moreover, this study identified a significant publication bias in the realm of GI oncology, and the field should promote reporting of all trials in order to better inform future trial questions and design.
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Affiliation(s)
- Gabrielle W Peters
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Weiwei Tao
- Department of Mechanical Engineering, Boston University, Boston, Massachusetts, USA
| | - Wei Wei
- Yale School of Public Health, New Haven, Connecticut, USA
| | - Joseph A Miccio
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Krishan R Jethwa
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Michael Cecchini
- Department of Internal Medicine (Medical Oncology), Yale School of Medicine, New Haven, Connecticut, USA
| | - Kimberly L Johung
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, USA
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14
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Saphner T, Marek A, Homa JK, Robinson L, Glandt N. Clinical trial participation assessed by age, sex, race, ethnicity, and socioeconomic status. Contemp Clin Trials 2021; 103:106315. [PMID: 33626412 DOI: 10.1016/j.cct.2021.106315] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 02/04/2021] [Accepted: 02/04/2021] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Individual demographic data and socioeconomic status (SES) factors from Census block group data may help define groups with disadvantaged access to clinical trials. METHODS Individual demographic data from the Aurora Cancer Registry and SES factors corresponding to the Census block group of the patient's address were studied for a six-year period ending July 31, 2019. RESULTS The final study cohort included 39,968 patients (enrolled = 772, and not enrolled = 39,196). In univariate analysis, significantly fewer patients older than age 65 (p < 0.001) and fewer men (p < 0.001) were enrolled in clinical trials. Socioeconomic factors found to be significant during univariate analysis included: low household income (p < 0.001), percentage below the poverty line (p < 0.001), low percentage home ownership (p = 0.006), unemployment (p = 0.003), absence of a college degree (p = 0.037) and absence of a high school degree (p = 0.007). In multivariate analysis, patients older than age 65 were less likely to participate in a trial (odds ratio 0.574, p < 0.001) and men were less likely to participate (odds ratio = 0.703, p < 0.001). Only 1.4% of the variance in clinical trial participation was accounted for demographic and SES factors. CONCLUSIONS The only groups with disadvantaged access to clinical trials in our institution were the elderly and men. Whether demographic or SES factors are related to accrual rates of clinical trials in other geographic regions or in other types of research studies warrants further investigation.
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Affiliation(s)
- Thomas Saphner
- Aurora NCORP, Advocate Aurora Health, 960 N 12th St., Milwaukee, WI 53233, United States of America.
| | - Andy Marek
- Advocate Aurora Research Institute, Advocate Aurora Health, 960 N 12th St., Milwaukee, WI 53233, United States of America
| | - Jennifer K Homa
- Advocate Aurora Research Institute, Advocate Aurora Health, 960 N 12th St., Milwaukee, WI 53233, United States of America
| | - Lisa Robinson
- Aurora Clinical Data Registries, Advocate Aurora Health, 960 N 12th St., Milwaukee, WI 53233, United States of America
| | - Neha Glandt
- Aurora NCORP, Advocate Aurora Health, 960 N 12th St., Milwaukee, WI 53233, United States of America
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15
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Leddy L, Sukumar P, O'Sullivan L, Keane F, Devane D, Doran P. An investigation into the factors affecting investigator-initiated trial start-up in Ireland. Trials 2020; 21:962. [PMID: 33228755 PMCID: PMC7684941 DOI: 10.1186/s13063-020-04893-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 11/12/2020] [Indexed: 11/16/2022] Open
Abstract
Background In common with many countries, Ireland has seen an increasing trend in the number of clinical trials conducted over the past few years. Yet, as elsewhere, trialists in Ireland face several problems and barriers in the starting-up of clinical trials. These barriers impede trial activity significantly, with consequent impacts on patient care. It is critical to understand these issues, to develop approaches to facilitate trial start up. This study identifies the challenges in conducting clinical trials in Ireland and specifically the contractual, ethical, logistical, and regulatory barriers that hinder the start-up of investigator-led trials in Ireland. Methods Data for this study were collected in two stages. In the first stage, a survey was conducted among trialists in Ireland. A total of 44 trialists responded to the survey, and information was collected about their experience in conducting clinical trials, the scale and nature of their most recently completed trial, and the details of specific barriers they encountered during the starting-up of the trial. In the second stage, nine semi-structured interviews were conducted with the awardees of 2018 Irish Health Research Board’s Definitive Intervention Feasibility Award. These interviews facilitated a deeper exploration of issues and problems in conducting clinical trials in Ireland. Results This study identified several issues and bottlenecks in starting-up clinical trials in Ireland with contracts and ethical approval cited as the major issues. The data shows that site identification and activation was also problematic in some cases. Several respondents reported difficulties in accessing dedicated time for protocol development and believe that support in this area can be greatly beneficial. It was reported that availability of skilled staff members like statisticians and data managers was as an issue, especially for small trials. Conclusion This study found that several factors impact trial initiation and progression in Ireland. Delays associated with obtaining contract and ethics approval are perceived as major barriers. Specialist supports in areas such as ethics and regulatory affairs and availability of specialised staff members in areas such as statistics and data management are key actions to enable enhanced clinical trial activity in Ireland.
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Affiliation(s)
- Lauren Leddy
- UCD School of Medicine, University College Dublin, Dublin 4, Ireland
| | - Prasanth Sukumar
- UCD School of Medicine, University College Dublin, Dublin 4, Ireland
| | - Lydia O'Sullivan
- UCD School of Medicine, University College Dublin, Dublin 4, Ireland.,HRB Trials Methodology Research Network, NUI Galway, Galway, Ireland
| | - Fionnuala Keane
- HRB Clinical Research Coordination Ireland, Upper Mount Street, Dublin 2, Ireland
| | - Declan Devane
- HRB Trials Methodology Research Network, NUI Galway, Galway, Ireland.,National University of Ireland, Galway, Ireland
| | - Peter Doran
- UCD School of Medicine, University College Dublin, Dublin 4, Ireland.
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16
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Miller TM, Lester J, Kwan L, Tandel MD, Karlan BY, Rimel BJ. 21 Code of Federal Regulations Part 11-Compliant Digital Signature Solution for Cancer Clinical Trials: A Single-Institution Feasibility Study. JCO Clin Cancer Inform 2020; 4:854-864. [PMID: 32970483 DOI: 10.1200/cci.20.00027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Inefficiencies in the clinical trial infrastructure result in protracted trial completion timelines, physician-investigator turnover, and a shrinking skilled labor force and present obstacles to research participation. Taken together, these barriers hinder scientific progress. Technological solutions to improve clinical trial efficiency have emerged, yet adoption remains slow because of concerns with cost, regulatory compliance, and implementation. METHODS A prospective pilot study that compared regulatory-compliant digital and traditional wet ink paper signatures was conducted over a 6.5-month period in a hospital-based health system. Staff time and effort, error rate, costs, and time to completion were measured. Wilcoxon rank sum tests were used to compare staff time and time to completion. A value analysis was conducted. A survey was administered to measure user satisfaction. RESULTS There where 96 participants (47 digital, 49 paper), 132 studies included (31 digital, 101 paper), and 265 documents processed (156 digital, 109 paper). A moderate reduction in staff time required to prepare documents for signature was observed (P < .0001). Error rates were reported in 5.1% of digital and 2.8% of paper documents, but this difference was not significant. Discrepancies requiring revisions included incomplete mandatory fields, inaccurate information submitted, and technical issues. A value analysis demonstrated a 19% labor savings with the use of digital signatures. Survey response rate was 57.4% (n = 27). Most participants (85.2%) preferred digital signatures. The time to complete documents was faster with digital signatures compared with paper (P = .0241). CONCLUSION The use of digital signatures resulted in a decrease in document completion time and regulatory burden as represented by staff hours. Additional cost and time savings and information liquidity could be realized by integrating digital signatures and electronic document management systems.
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Affiliation(s)
| | - Jenny Lester
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Lorna Kwan
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Megha D Tandel
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Beth Y Karlan
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - B J Rimel
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA
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17
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Drivers of Start-Up Delays in Global Randomized Clinical Trials. Ther Innov Regul Sci 2020; 55:212-227. [PMID: 32959207 PMCID: PMC7505220 DOI: 10.1007/s43441-020-00207-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 08/19/2020] [Indexed: 11/16/2022]
Abstract
Background Global, randomized clinical trials are extremely complex. Trial start-up is a critical phase and has many opportunities for delay which adversely impact the study timelines and budget. Understanding factors that contribute to delay may help clinical trial managers and other stakeholders to work more efficiently, hastening patient access to potential new therapies. Methods We reviewed the available literature related to start-up of global, Phase III clinical trials and then created a fishbone diagram detailing drivers contributing to start-up delays. The issues identified were used to craft a checklist to assist clinical trial managers in more efficient trial start-up. Results We identified key drivers for start-up delays in the following categories: regulatory, contracts and budgets, insurance, clinical supplies, site identification and selection, site activation, and inefficient processes/pitfalls. Conclusion Initiating global randomized clinical trials is a complex endeavor, and reasons for delay are well documented in the literature. By using a checklist, clinical trial managers may mitigate some delays and get clinical studies initiated as soon as possible.
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18
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Lin TA, Fuller CD, Verma V, Mainwaring W, Espinoza AF, Miller AB, Jethanandani A, Pasalic D, Das P, Minsky BD, Thomas CR, Fogelman DR, Subbiah V, Subbiah IM, Ludmir EB. Trial Sponsorship and Time to Reporting for Phase 3 Randomized Cancer Clinical Trials. Cancers (Basel) 2020; 12:E2636. [PMID: 32947844 PMCID: PMC7563891 DOI: 10.3390/cancers12092636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 09/11/2020] [Accepted: 09/11/2020] [Indexed: 11/17/2022] Open
Abstract
The pace of clinical trial data generation and publication is an area of interest within clinical oncology; however, little is known about the dynamics and covariates of time to reporting (TTR) of trial results. To assess these, ClinicalTrials.gov was queried for phase three clinical trials for patients with metastatic solid tumors, and the factors associated with TTR from enrollment completion to publication were analyzed. Based on the 319 included trials, cooperative-group-sponsored trials were reported at a slower rate than non-cooperative-group trials (median 37.5 vs. 31.0 months; p < 0.001), while industry-funded studies were reported at a faster rate than non-industry-supported trials (31.0 vs. 40.0 months; p = 0.005). Furthermore, successful trials (those meeting their primary endpoint) were reported at a faster rate than unsuccessful studies (27.5 vs. 36.0 months; p < 0.001). Multivariable analysis confirmed that industry funding was independently associated with a shorter TTR (p = 0.006), while cooperative group sponsorship was not associated with a statistically significant difference in TTR (p = 0.18). These data underscore an opportunity to improve cooperative group trial efficiency by reducing TTR.
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Affiliation(s)
- Timothy A. Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; (T.A.L.); (C.D.F.); (V.V.); (D.P.); (P.D.); (B.D.M.)
- Department of Radiation Oncology and Molecular Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, 401 N. Broadway Baltimore, MD 21287, USA
| | - Clifton David Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; (T.A.L.); (C.D.F.); (V.V.); (D.P.); (P.D.); (B.D.M.)
| | - Vivek Verma
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; (T.A.L.); (C.D.F.); (V.V.); (D.P.); (P.D.); (B.D.M.)
| | - Walker Mainwaring
- Lankenau Medical Center, 100 E Lancaster Ave, Wynnewood, PA 19096, USA;
| | | | - Austin B. Miller
- McGovern Medical School, The University of Texas Health Science Center, 7000 Fannin, Suite 1880, Houston, TX 77030, USA;
| | - Amit Jethanandani
- Department of Radiation Oncology, The University of Miami Sylvester Comprehensive Cancer Center, 1475 NW 12th Ave, Miami, FL 33136, USA;
| | - Dario Pasalic
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; (T.A.L.); (C.D.F.); (V.V.); (D.P.); (P.D.); (B.D.M.)
| | - Prajnan Das
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; (T.A.L.); (C.D.F.); (V.V.); (D.P.); (P.D.); (B.D.M.)
| | - Bruce D. Minsky
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; (T.A.L.); (C.D.F.); (V.V.); (D.P.); (P.D.); (B.D.M.)
| | - Charles R. Thomas
- Department of Radiation Medicine, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR 97239, USA;
| | - David R. Fogelman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA;
| | - Vivek Subbiah
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA;
| | - Ishwaria M. Subbiah
- Department of Palliative, Rehabilitational, and Integrative Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA;
| | - Ethan B. Ludmir
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA; (T.A.L.); (C.D.F.); (V.V.); (D.P.); (P.D.); (B.D.M.)
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19
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Holstein SA, Vose JM. Oncology Treatment in the Era of COVID-19: We Cannot Afford to Hit the Pause Button. Clin Pharmacol Ther 2020; 108:422-424. [PMID: 32484908 PMCID: PMC7300499 DOI: 10.1002/cpt.1920] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 05/20/2020] [Indexed: 11/12/2022]
Affiliation(s)
- Sarah A Holstein
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Julie M Vose
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
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Williams E, Brown TJ, Griffith P, Rahimi A, Oilepo R, Hammers H, Laetsch TW, Currykosky P, Partridge S, Beg MS. Improving the Time to Activation of New Clinical Trials at a National Cancer Institute–Designated Comprehensive Cancer Center. JCO Oncol Pract 2020; 16:e324-e332. [DOI: 10.1200/op.19.00325] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE: The time it takes a performing site to activate a clinical trial can directly affect the ability to provide innovative and state-of-the-art care to patients. We sought to understand the process of activating an oncology clinical trial at a matrix National Cancer Institute–designated comprehensive cancer center. METHODS: A multidisciplinary team of stakeholders within the cancer center, university, and affiliate hospitals held a retreat to map out the process of activating a clinical trial. We applied classical quality improvement and Six Sigma methodology to determine bottlenecks and non–value-added time in activating a clinical trial. During this process, attention was paid to time to pass through each step, and perceived barriers and bottlenecks were identified through group discussions. RESULTS: The process map identified 66 steps with 12 decision points to activate a new clinical trial. The following two steps were instituted first: allow parallel scientific committee and institutional review board (IRB) review and allow the clinical research coordination committee, a group that determines university interest and feasibility, to review protocols independent of the IRB and scientific committee approval. The clinical research coordination committee continues to track the activation time, and this framework is used to identify additional improvement steps. CONCLUSION: By applying quality improvement methodologies and Six Sigma principles, we were able to identify redundancies in the process to activate a clinical trial. This allowed us to redesign the process of activating a clinical trial at a matrix comprehensive cancer center. More importantly, the process map provides a framework to maintain these gains and implement additional changes and serves as an example to deploy across the campus and at other similar institutions.
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Affiliation(s)
- Erin Williams
- Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX
- The University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | - Asal Rahimi
- Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX
- The University of Texas Southwestern Medical Center, Dallas, TX
| | - Rhonda Oilepo
- The University of Texas Southwestern Medical Center, Dallas, TX
| | - Hans Hammers
- Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX
- The University of Texas Southwestern Medical Center, Dallas, TX
| | - Theodore W. Laetsch
- Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX
- Department of Pediatrics, The University of Texas Southwestern Medical Center, Dallas, TX
- Children’s Health, Dallas, TX
| | - Penny Currykosky
- Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Muhammad S. Beg
- Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX
- The University of Texas Southwestern Medical Center, Dallas, TX
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Parreco L, Rooney L, Hampp S, Brown A, Minasian L. A Rare Opportunity: Examining the Experience of a New Institutional Review Board. J Empir Res Hum Res Ethics 2019; 14:274-285. [PMID: 31104551 PMCID: PMC6565466 DOI: 10.1177/1556264619841815] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The process of creating a new Institutional Review Board (IRB) or Research Ethics Committee (REC) presents many challenges; however, little has been published to describe this experience. Thus, many questions about creating a new IRB/REC and the challenges they face remain. The establishment of a new federal-wide single IRB provided a rare opportunity to describe these experience and outcomes. A census of the activity and outcomes of this new board is reported for its first 3 years of operation: The convened board approved 50 protocols, required an average of 93.24 days and 2.76 reviews for protocol approval, and issued an average of 31.82 stipulations per protocol. The census data helped to identify several issues that impacted the board's outcomes and it serves as a baseline for future comparisons. The overall dynamics, challenges, and outcomes of this new single IRB are discussed.
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Affiliation(s)
- Linda Parreco
- National Institutes of Health, National Cancer Institute
(USA)
| | - Lisa Rooney
- Frederick National Laboratory for Cancer Research sponsored
by the National Cancer Institute (USA)
| | - Sharon Hampp
- National Institutes of Health, National Cancer Institute
(USA)
| | - Amanda Brown
- National Institutes of Health, National Cancer Institute
(USA)
| | - Lori Minasian
- National Institutes of Health, National Cancer Institute
(USA)
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Stefely JA, Theisen E, Hanewall C, Scholl L, Burkard ME, Huttenlocher A, Yu JPJ. A physician-scientist preceptorship in clinical and translational research enhances training and mentorship. BMC MEDICAL EDUCATION 2019; 19:89. [PMID: 30917818 PMCID: PMC6438136 DOI: 10.1186/s12909-019-1523-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/17/2019] [Indexed: 05/15/2023]
Abstract
BACKGROUND Dual degree program MD/PhD candidates typically train extensively in basic science research and in clinical medicine, but often receive little formal experience or mentorship in clinical and translational research. METHODS To address this educational and curricular gap, the University of Wisconsin Medical Scientist Training Program partnered with the University of Wisconsin Institute for Clinical and Translational Research to create a new physician-scientist preceptorship in clinical and translational research. This six-week apprentice-style learning experience-guided by a physician-scientist faculty mentor-integrates both clinical work and a translational research project, providing early exposure and hands-on experience with clinically oriented research and the integrated career of a physician-scientist. Five years following implementation, we retrospectively surveyed students and faculty members to determine the outcomes of this preceptorship. RESULTS Over five years, 38 students and 36 faculty members participated in the physician-scientist preceptorship. Based on student self-assessments (n = 29, response rate 76%), the course enhanced competency in conducting translational research and understanding regulation of clinical research among other skills. Mentor assessments (n = 17, response rate 47%) supported the value of the preceptorship in these same areas. Based on work during the preceptorship, half of the students produced a peer-reviewed publication or a meeting abstract. At least eleven peer-reviewed manuscripts were generated. The preceptorship also provided a structure for physician-scientist mentorship in the students' clinical specialty of choice. CONCLUSION The physician-scientist preceptorship provides a new curricular model to address the gap of clinical research training and provides for mentorship of physician-scientists during medical school. Future work will assess the long-term impact of this course on physician-scientist career trajectories.
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Affiliation(s)
- Jonathan A. Stefely
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Erin Theisen
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Chelsea Hanewall
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Linda Scholl
- Institute for Clinical and Translational Research, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Mark E. Burkard
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
- Department of Medicine, Hematology/Oncology, and the UW Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Anna Huttenlocher
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
- Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - John-Paul J. Yu
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
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Bentley C, Cressman S, van der Hoek K, Arts K, Dancey J, Peacock S. Conducting clinical trials-costs, impacts, and the value of clinical trials networks: A scoping review. Clin Trials 2019; 16:183-193. [PMID: 30628466 DOI: 10.1177/1740774518820060] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND A significant barrier to conducting clinical trials is their high cost, which is driven primarily by the time and resources required to activate trials and reach accrual targets. The high cost of running trials has a substantial impact on their long-term feasibility and the type of clinical research undertaken. METHODS A scoping review of the empirical literature on the costs associated with conducting clinical trials was undertaken for the years 2001-2015. Five reference databases were consulted to elicit how trials costs are presented in the literature. A review instrument was developed to extract the content of in-scope papers. Findings were characterized by date and place of publication, clinical disease area, and network/cooperative group designation, when specified. Costs were captured and grouped by patient accrual and management, infrastructure, and the opportunity costs associated with industry funding for trials research. Cost impacts on translational research and health systems were also captured, as were recommendations to reduce trial expenditures. Since articles often cited multiple costs, multiple cost coding was used during data extraction to capture the range and frequency of costs. RESULTS A total of 288 empirical articles were included. The distribution of reported costs was: patient management and accrual costs (132 articles), infrastructure costs (118 articles) and the opportunity costs of industry sponsorship (72 articles). 221 articles reported on the impact of undertaking costly trials on translational research and health systems; of these, the most frequently reported consequences were to research integrity (52% of articles), research capacity (36% of articles) and running low-value trials (34% of articles). 254 articles provided recommendations to reduce trial costs; of these, the most frequently reported recommendations related to improvements in: operational efficiencies (33% of articles); patient accrual (24% of articles); funding for trials and transparency in trials reporting (18% of articles, each). CONCLUSION Key findings from the review are: 1) delayed trial activation has costs to budgets and research; 2) poor accrual leads to low-value trials and wasted resources; 3) the pharmaceutical industry can be a pragmatic, if problematic, partner in clinical research; 4) organizational know-how and successful research collaboration are benefits of network/cooperative groups; and 5) there are spillover benefits of clinical trials to healthcare systems, including better health outcomes, enhanced research capacity, and drug cost avoidance. There is a need for more economic evaluations of the benefits of clinical research, such as health system use (or avoidance) and health outcomes in cities and health authorities with institutions that conduct clinical research, to demonstrate the affordability of clinical trials, despite their high cost.
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Affiliation(s)
- Colene Bentley
- 1 Department of Cancer Control Research, BC Cancer, Vancouver, BC, Canada.,2 Canadian Centre for Applied Research in Cancer Control, Vancouver, BC, Canada
| | - Sonya Cressman
- 1 Department of Cancer Control Research, BC Cancer, Vancouver, BC, Canada.,2 Canadian Centre for Applied Research in Cancer Control, Vancouver, BC, Canada
| | - Kim van der Hoek
- 1 Department of Cancer Control Research, BC Cancer, Vancouver, BC, Canada.,2 Canadian Centre for Applied Research in Cancer Control, Vancouver, BC, Canada
| | - Karen Arts
- 3 Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Janet Dancey
- 3 Ontario Institute for Cancer Research, Toronto, ON, Canada.,4 Department of Oncology, School of Medicine, Queen's University, Kingston, ON, Canada.,5 The National Cancer Institute of Canada Clinical Trials Group, Kingston, ON, Canada
| | - Stuart Peacock
- 1 Department of Cancer Control Research, BC Cancer, Vancouver, BC, Canada.,2 Canadian Centre for Applied Research in Cancer Control, Vancouver, BC, Canada.,6 Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
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Barrios CH, Reinert T, Werutsky G. Global Breast Cancer Research: Moving Forward. Am Soc Clin Oncol Educ Book 2018; 38:441-450. [PMID: 30231347 DOI: 10.1200/edbk_209183] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Breast cancer is a major global health problem and major cause of mortality. Although mortality trends are declining in high-income countries, trends are increasing in low- and middle-income countries (LMICs). Addressing global breast cancer research is a challenging endeavor, as notable disparities and extremely heterogeneous realities exist in different regions across the world. Basic global cancer health care needs have been addressed by the World Health Organization's (WHO) proposed list of essential medicines and by resource-stratified guidelines for screening and treatment. However, specific strategies are needed to address disparities in access to health care, particularly access to new therapies. Discussions about global research in breast cancer should take into account the ongoing globalization of clinical trials. Collaboration fostered by well-established research organizations in North America and Europe is essential for the development of infrastructure and human resources in LMICs so that researchers in these countries can begin to address regional questions. Specific challenges that impact the future of global breast cancer research include increasing the availability of trials in LMICs, developing strategies to increase patient participation in clinical trials, and creation of clear guidelines for the development of real-world evidence-based research. The main objective of this review is to encourage the discussion of challenges in global breast cancer research with the hope that collectively we will be able to generate workable proposals to advance the field.
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Affiliation(s)
- Carlos H Barrios
- From the Latin American Cooperative Oncology Group, Porto Alegre, Brazil
| | - Tomás Reinert
- From the Latin American Cooperative Oncology Group, Porto Alegre, Brazil
| | - Gustavo Werutsky
- From the Latin American Cooperative Oncology Group, Porto Alegre, Brazil
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25
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Nishijima DK, VanBuren J, Hewes HA, Myers SR, Stanley RM, Adelson PD, Barnhard SE, Bobinski M, Ghetti S, Holmes JF, Roberts I, Schalick WO, Tran NK, Tzimenatos LS, Michael Dean J, Kuppermann N. Traumatic injury clinical trial evaluating tranexamic acid in children (TIC-TOC): study protocol for a pilot randomized controlled trial. Trials 2018; 19:593. [PMID: 30376893 PMCID: PMC6208101 DOI: 10.1186/s13063-018-2974-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 10/10/2018] [Indexed: 01/29/2023] Open
Abstract
Background Trauma is the leading cause of morbidity and mortality in children in the United States. The antifibrinolytic drug tranexamic acid (TXA) improves survival in adults with traumatic hemorrhage, however, the drug has not been evaluated in a clinical trial in severely injured children. We designed the Traumatic Injury Clinical Trial Evaluating Tranexamic Acid in Children (TIC-TOC) trial to evaluate the feasibility of conducting a confirmatory clinical trial that evaluates the effects of TXA in children with severe trauma and hemorrhagic injuries. Methods Children with severe trauma and evidence of hemorrhagic torso or brain injuries will be randomized to one of three arms: (1) TXA dose A (15 mg/kg bolus dose over 20 min, followed by 2 mg/kg/hr infusion over 8 h), (2) TXA dose B (30 mg/kg bolus dose over 20 min, followed by 4 mg/kg/hr infusion over 8 h), or (3) placebo. We will use permuted-block randomization by injury type: hemorrhagic brain injury, hemorrhagic torso injury, and combined hemorrhagic brain and torso injury. The trial will be conducted at four pediatric Level I trauma centers. We will collect the following outcome measures: global functioning as measured by the Pediatric Quality of Life (PedsQL) and Pediatric Glasgow Outcome Scale Extended (GOS-E Peds), working memory (digit span test), total amount of blood products transfused in the initial 48 h, intracranial hemorrhage progression at 24 h, coagulation biomarkers, and adverse events (specifically thromboembolic events and seizures). Discussion This multicenter trial will provide important preliminary data and assess the feasibility of conducting a confirmatory clinical trial that evaluates the benefits of TXA in children with severe trauma and hemorrhagic injuries to the torso and/or brain. Trial registration ClinicalTrials.gov registration number: NCT02840097. Registered on 14 July 2016. Electronic supplementary material The online version of this article (10.1186/s13063-018-2974-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Daniel K Nishijima
- Department of Emergency Medicine, UC Davis School of Medicine, 4150 V. Street, PSSB 2100, Sacramento, CA, 95817, USA.
| | - John VanBuren
- Department of Pediatrics, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84108, USA
| | - Hilary A Hewes
- Department of Pediatrics, Division of Pediatric Emergency Medicine, University of Utah School of Medicine, Primary Children's Hospital, 100 N. Mario Capecchi Dr., Salt Lake City, UT, 84113, USA
| | - Sage R Myers
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Perelman School of Medicine at the University of Pennsylvania, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA
| | - Rachel M Stanley
- Department of Pediatrics, Division of Pediatric Emergency Medicine, Ohio State University School of Medicine, Nationwide Children's Hospital, 700 Children's Dr., Columbus, OH, 43205, USA
| | - P David Adelson
- Department of Pediatric Neurosciences, Barrow Neurological Institute at Phoenix Children's Hospital, 1919 E. Thomas Rd, Phoenix, AZ, 85016, USA
| | - Sarah E Barnhard
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, 2315 Stockton Blvd., Sacramento, CA, 95817, USA
| | - Matthew Bobinski
- Department of Radiology, UC Davis School of Medicine, 2315 Stockton Blvd., Sacramento, CA, 95817, USA
| | - Simona Ghetti
- Department of Psychology, University of California, Davis, 102K Young Hall, 1 Shields Ave., Davis, CA, 95616, USA
| | - James F Holmes
- Department of Emergency Medicine, UC Davis School of Medicine, 4150 V. Street, PSSB 2100, Sacramento, CA, 95817, USA
| | - Ian Roberts
- Department of Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Walton O Schalick
- Department of Orthopedics and Rehabilitation, University of Wisconsin, 317 Knutson Drive, Madison, WI, 53704, USA
| | - Nam K Tran
- Department of Pathology and Laboratory Medicine, University of California, Davis, 3422 Tupper Hall, Davis, CA, 95616, USA
| | - Leah S Tzimenatos
- Department of Emergency Medicine, UC Davis School of Medicine, 4150 V. Street, PSSB 2100, Sacramento, CA, 95817, USA
| | - J Michael Dean
- Department of Pediatrics, University of Utah School of Medicine, 295 Chipeta Way, Salt Lake City, UT, 84108, USA
| | - Nathan Kuppermann
- Departments of Emergency Medicine and Pediatrics, UC Davis School of Medicine, 4150 V. Street, PSSB 2100, Sacramento, CA, 95817, USA
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26
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Dang AH, Gjolaj LN, Peck H. Using Rapid Cycle Improvement (Plan, Do, Study, Act) to Design a Scalable Appointment Scheduling System for Complex Oncology Clinical Trials at an Academic Cancer Center. J Oncol Pract 2018; 14:e591-e601. [PMID: 30110227 DOI: 10.1200/jop.18.00071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE This study's purpose was to optimize the efficiency of and to design a scalable research scheduling team to meet the growing demands of an academic cancer center with increasing clinical trial accruals. METHODS The Plan, Do, Study, Act improvement methodology was deployed to increase the efficiency of research scheduling, to reduce non-value-added (NVA) activities, and to reduce cycle time to meet takt time. In the Plan phase, voice-of-the-customer interviews were conducted. In the Do phase, the baseline workflow was mapped and billing data were analyzed. In the Study phase, cycle time, takt time, and capacity analysis metrics were calculated at baseline. In the Act phase, interventions were implemented to increase efficiency by reducing NVA activities and increasing value-added activities, and metrics were reassessed after intervention. RESULTS An 8% increase in appointment requests was noted from baseline to after intervention, and the cycle time for appointment scheduling decreased by 11%, demonstrating increased efficiency. Process steps decreased from 15 to 10, eliminating NVA activities and rework and waiting, two types of waste. CONCLUSION Although efficiency increased, the number of total appointments scheduled weekly increased by 4%, resulting in a reduced takt time, or a shorter time to schedule each appointment to meet demand. A capacity analysis demonstrated that even after interventions, an additional 0.5 full-time employee is required to reduce cycle time to equal takt time. Capacity analysis creates a scalable framework for the scheduling team and facilitates movement from reactive to proactive staffing, which can be applied throughout the research enterprise.
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Affiliation(s)
- Avantika H Dang
- University of Miami Health System; University of Miami Hospital & Clinics; and Sylvester Comprehensive Cancer Center, Miami, FL
| | - Lauren N Gjolaj
- University of Miami Health System; University of Miami Hospital & Clinics; and Sylvester Comprehensive Cancer Center, Miami, FL
| | - Helen Peck
- University of Miami Health System; University of Miami Hospital & Clinics; and Sylvester Comprehensive Cancer Center, Miami, FL
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Prokosch HU, Acker T, Bernarding J, Binder H, Boeker M, Boerries M, Daumke P, Ganslandt T, Hesser J, Höning G, Neumaier M, Marquardt K, Renz H, Rothkötter HJ, Schade-Brittinger C, Schmücker P, Schüttler J, Sedlmayr M, Serve H, Sohrabi K, Storf H. MIRACUM: Medical Informatics in Research and Care in University Medicine. Methods Inf Med 2018; 57:e82-e91. [PMID: 30016814 PMCID: PMC6178200 DOI: 10.3414/me17-02-0025] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 04/13/2018] [Indexed: 01/05/2023]
Abstract
INTRODUCTION This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. Similar to other large international data sharing networks (e.g. OHDSI, PCORnet, eMerge, RD-Connect) MIRACUM is a consortium of academic and hospital partners as well as one industrial partner in eight German cities which have joined forces to create interoperable data integration centres (DIC) and make data within those DIC available for innovative new IT solutions in patient care and medical research. OBJECTIVES Sharing data shall be supported by common interoperable tools and services, in order to leverage the power of such data for biomedical discovery and moving towards a learning health system. This paper aims at illustrating the major building blocks and concepts which MIRACUM will apply to achieve this goal. GOVERNANCE AND POLICIES Besides establishing an efficient governance structure within the MIRACUM consortium (based on the steering board, a central administrative office, the general MIRACUM assembly, six working groups and the international scientific advisory board), defining DIC governance rules and data sharing policies, as well as establishing (at each MIRACUM DIC site, but also for MIRACUM in total) use and access committees are major building blocks for the success of such an endeavor. ARCHITECTURAL FRAMEWORK AND METHODOLOGY The MIRACUM DIC architecture builds on a comprehensive ecosystem of reusable open source tools (MIRACOLIX), which are linkable and interoperable amongst each other, but also with the existing software environment of the MIRACUM hospitals. Efficient data protection measures, considering patient consent, data harmonization and a MIRACUM metadata repository as well as a common data model are major pillars of this framework. The methodological approach for shared data usage relies on a federated querying and analysis concept. USE CASES MIRACUM aims at proving the value of their DIC with three use cases: IT support for patient recruitment into clinical trials, the development and routine care implementation of a clinico-molecular predictive knowledge tool, and molecular-guided therapy recommendations in molecular tumor boards. RESULTS Based on the MIRACUM DIC release in the nine months conceptual phase first large scale analysis for stroke and colorectal cancer cohorts have been pursued. DISCUSSION Beyond all technological challenges successfully applying the MIRACUM tools for the enrichment of our knowledge about diagnostic and therapeutic concepts, thus supporting the concept of a Learning Health System will be crucial for the acceptance and sustainability in the medical community and the MIRACUM university hospitals.
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Affiliation(s)
- Hans-Ulrich Prokosch
- Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Till Acker
- Institute of Neuropathology, Justus-Liebig-University Giessen, Giessen, Germany
| | - Johannes Bernarding
- Chair of Medical Informatics, Institute for Biometry and Medical Informatics, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Harald Binder
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center – University of Freiburg, Freiburg, Germany
| | - Martin Boeker
- Institute of Medical Biometry and Statistics, Medical Faculty and Medical Center – University of Freiburg, Freiburg, Germany
| | - Melanie Boerries
- Institute of Molecular Medicine and Cell Research and Comprehensive Cancer Center Freiburg (CCCF), University Medical Center, Faculty of Medicine, University of Freiburg; German Cancer Research Center (DKFZ), Heidelberg and German Cancer Consortium (DKTK) partner site Freiburg, Freiburg, Germany
| | | | - Thomas Ganslandt
- Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
- Department of Biomedical Informatics, University Medicine Mannheim, Ruprecht-Karls-University Heidelberg, Mannheim, Germany
| | - Jürgen Hesser
- Experimental Radiation Oncology Department, University Medical Center Mannheim, Central Institute for Scientific Computing (IWR), Central Institute for Computer Engineering (ZITI), Heidelberg University, Mannheim, Germany
| | - Gunther Höning
- Department of Information Technology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Michael Neumaier
- Chair for Clinical Chemistry, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany
| | - Kurt Marquardt
- University Hospital of Giessen and Marburg, Giessen, Germany
| | - Harald Renz
- Chair for Clinical Chemistry, Philipps University Marburg, Medical Director of the University Clinic Marburg, Marburg, Germany
| | - Hermann-Josef Rothkötter
- Institute of Anatomy, Otto-von-Guericke-University Magdeburg, Dean of the Medical Faculty, Magdeburg, Germany
| | - Carmen Schade-Brittinger
- Chair of the Coordinating Centre for Clinical Trials, Philipps University Marburg, Marburg, Germany
| | - Paul Schmücker
- University of Applied Sciences Mannheim, Institute for Medical Informatics, Mannheim, Germany
| | - Jürgen Schüttler
- Department of Anesthesiology, University of Erlangen-Nürnberg, Dean of the Medical Faculty, Erlangen, Germany
| | - Martin Sedlmayr
- Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
- Institute of Medical Informatics and Biometrics, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Hubert Serve
- Department of Hematology and Oncology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Keywan Sohrabi
- Faculty of Health Sciences, University of Applied Sciences – THM, Giessen, Germany
| | - Holger Storf
- Medical Informatics Group, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
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Park YR, Yoon YJ, Koo H, Yoo S, Choi CM, Beck SH, Kim TW. Utilization of a Clinical Trial Management System for the Whole Clinical Trial Process as an Integrated Database: System Development. J Med Internet Res 2018; 20:e103. [PMID: 29691212 PMCID: PMC5941091 DOI: 10.2196/jmir.9312] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Revised: 12/19/2017] [Accepted: 01/22/2018] [Indexed: 11/15/2022] Open
Abstract
Background Clinical trials pose potential risks in both communications and management due to the various stakeholders involved when performing clinical trials. The academic medical center has a responsibility and obligation to conduct and manage clinical trials while maintaining a sufficiently high level of quality, therefore it is necessary to build an information technology system to support standardized clinical trial processes and comply with relevant regulations. Objective The objective of the study was to address the challenges identified while performing clinical trials at an academic medical center, Asan Medical Center (AMC) in Korea, by developing and utilizing a clinical trial management system (CTMS) that complies with standardized processes from multiple departments or units, controlled vocabularies, security, and privacy regulations. Methods This study describes the methods, considerations, and recommendations for the development and utilization of the CTMS as a consolidated research database in an academic medical center. A task force was formed to define and standardize the clinical trial performance process at the site level. On the basis of the agreed standardized process, the CTMS was designed and developed as an all-in-one system complying with privacy and security regulations. Results In this study, the processes and standard mapped vocabularies of a clinical trial were established at the academic medical center. On the basis of these processes and vocabularies, a CTMS was built which interfaces with the existing trial systems such as the electronic institutional review board health information system, enterprise resource planning, and the barcode system. To protect patient data, the CTMS implements data governance and access rules, and excludes 21 personal health identifiers according to the Health Insurance Portability and Accountability Act (HIPAA) privacy rule and Korean privacy laws. Since December 2014, the CTMS has been successfully implemented and used by 881 internal and external users for managing 11,645 studies and 146,943 subjects. Conclusions The CTMS was introduced in the Asan Medical Center to manage the large amounts of data involved with clinical trial operations. Inter- and intraunit control of data and resources can be easily conducted through the CTMS system. To our knowledge, this is the first CTMS developed in-house at an academic medical center side which can enhance the efficiency of clinical trial management in compliance with privacy and security laws.
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Affiliation(s)
- Yu Rang Park
- Clinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.,Department of Biomedical Informatics, Asan Medical Center, Seoul, Republic Of Korea.,Health Innovation Bigdata Center, Seoul, Republic Of Korea
| | - Young Jo Yoon
- Office of Clinical Research Information, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea
| | - HaYeong Koo
- Clinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea
| | - Soyoung Yoo
- Health Innovation Bigdata Center, Seoul, Republic Of Korea.,Human Research Protection Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea
| | - Chang-Min Choi
- Clinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.,Department of Pulmonology and Critical Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic Of Korea.,Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic Of Korea
| | - Sung-Ho Beck
- Clinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.,Clinical Trial Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea
| | - Tae Won Kim
- Clinical Research Center, Asan Institute of Life Sciences, Asan Medical Center, Seoul, Republic Of Korea.,Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic Of Korea
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29
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Fontanesi J, Magit A, Ford JJ, Nguyen H, Firestein GS. Systems approach to assessing and improving local human research Institutional Review Board performance. J Clin Transl Sci 2018; 2:103-109. [PMID: 31660223 PMCID: PMC6799096 DOI: 10.1017/cts.2018.24] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 03/01/2018] [Accepted: 03/30/2018] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVE To quantifying the interdependency within the regulatory environment governing human subject research, including Institutional Review Boards (IRBs), federally mandated Medicare coverage analysis and contract negotiations. METHODS Over 8000 IRB, coverage analysis and contract applications initiated between 2013 and 2016 were analyzed using traditional and machine learning analytics for a quality improvement effort to improve the time required to authorize the start of human research studies. RESULTS Staffing ratios, study characteristics such as the number of arms, source of funding and number and type of ancillary reviews significantly influenced the timelines. Using key variables, a predictive algorithm identified outliers for a workflow distinct from the standard process. Improved communication between regulatory units, integration of common functions, and education outreach improved the regulatory approval process. CONCLUSIONS Understanding and improving the interdependencies between IRB, coverage analysis and contract negotiation offices requires a systems approach and might benefit from predictive analytics.
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Affiliation(s)
- John Fontanesi
- University of California at San Diego, San Diego, CA, USA
| | - Anthony Magit
- University of California at San Diego, San Diego, CA, USA
| | | | - Han Nguyen
- University of California at San Diego, San Diego, CA, USA
| | - Gary S. Firestein
- University of California at San Diego, San Diego, CA, USA
- University of California Biomedical Research Acceleration, Integration & Development (UC BRAID), San Francisco, CA, USA
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30
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Massett HA, Hampp SL, Goldberg JL, Mooney M, Parreco LK, Minasian L, Montello M, Mishkin GE, Davis C, Abrams JS. Meeting the Challenge: The National Cancer Institute's Central Institutional Review Board for Multi-Site Research. J Clin Oncol 2018; 36:819-824. [PMID: 29384720 DOI: 10.1200/jco.2017.76.9836] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The National Institutes of Health (NIH) issued a new policy that requires a single institutional review board (IRB) of record be used for all protocols funded by the NIH that are carried out at more than one site in the United States, effective January 2018. This policy affects several hundred clinical trials opened annually across the NIH. Limited data exist to compare the use of a single IRB to that of multiple local IRBs, so some institutions are resistant to or distrustful of single IRBs. Since 2001, the National Cancer Institute (NCI) has funded a central IRB (CIRB) that provides human patient reviews for its extensive national cancer clinical trials program. This paper presents data to show the adoption, efficiencies gained, and satisfaction of the CIRB among NCI trial networks and reviews key lessons gleaned from 16 years of experience that may be informative for others charged with implementation of the new NIH single-IRB policy.
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Affiliation(s)
| | | | | | | | | | - Lori Minasian
- All authors: National Cancer Institute, Bethesda, MD
| | - Mike Montello
- All authors: National Cancer Institute, Bethesda, MD
| | | | - Catasha Davis
- All authors: National Cancer Institute, Bethesda, MD
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31
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Watters JT, Pitzen JH, Sanders LJ, Bruce VNM, Cornell AR, Cseko GC, Grace JS, Kwon PS, Kukla AK, Lee MS, Monosmith MD, Myren JD, Kottschade RS, Shaft MN, Weis JJA, Welter JC, Bharucha AE. Transforming the Activation of Clinical Trials. Clin Pharmacol Ther 2018; 103:43-46. [PMID: 29105757 PMCID: PMC5774626 DOI: 10.1002/cpt.898] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 09/12/2017] [Accepted: 10/05/2017] [Indexed: 11/05/2022]
Abstract
The Institute of Medicine and US Food and Drug Administration (FDA) recognize that activating clinical trials in the United States is lengthy and inefficient. Downstream consequences include increased expense, suboptimal accrual, move of clinical trials overseas, and delayed availability of treatments for patients. An in-tandem processing initiative is here highlighted that transformed the activation of clinical trials (TACT), reduced the activation time by 70%, and offers a paradigm for enhanced translational readiness.
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Affiliation(s)
- Julie T Watters
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Jason H Pitzen
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Linda J Sanders
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Alissa R Cornell
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Gary C Cseko
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Janice S Grace
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Pamela S Kwon
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Andrea K Kukla
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Michael S Lee
- Division of Research Administrative Services, Mayo Clinic Hospital, Phoenix, Arizona, USA
| | | | - John D Myren
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Rebecca S Kottschade
- Department of Mayo Clinic Health System Administration, Rochester, Minnesota, USA
| | - Marc N Shaft
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Jane C Welter
- Department of Research Administration, Mayo Clinic, Rochester, Minnesota, USA
| | - Adil E Bharucha
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
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32
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Ning N, Yan J, Dietrich MF, Xie XJ, Gerber DE. Institutional Scientific Review of Cancer Clinical Research Protocols: A Unique Requirement That Affects Activation Timelines. J Oncol Pract 2017; 13:e982-e991. [PMID: 29019706 PMCID: PMC5728362 DOI: 10.1200/jop.2017.024299] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
PURPOSE The National Cancer Institute (NCI) requirement that clinical trials at NCI-designated cancer centers undergo institutional scientific review in addition to institutional review board evaluation is unique among medical specialties. We sought to evaluate the effect of this process on protocol activation timelines. METHODS We analyzed oncology clinical trials that underwent full board review by the Harold C. Simmons Comprehensive Cancer Center Protocol Review and Monitoring Committee (PRMC) from January 1, 2009, through June 30, 2013. We analyzed associations between trial characteristics, PRMC decisions, protocol modifications, and process timelines using the χ2 test, Fisher's exact test, Wilcoxon rank sum test, Kruskal-Wallis test, and logistic regression. RESULTS A total of 226 trials were analyzed. Of these, 77% were industry sponsored and 23% were investigator initiated. The median time from submission to PRMC approval was 55 days. The length of review was associated with trial phase, timing of approval, and number of committee changes/clarifications requested. The median process time was 35 days for those approved at first decision, 68 days for second decision, and 116 days for third decision ( P < .001). The median process time was 39 days if no changes/clarifications were requested, 64 days for one to three changes/clarifications, and 73 days for four or more changes/clarifications ( P < .001). Requested changes/clarifications had a greater effect on industry-sponsored trials than on investigator-initiated trials. CONCLUSION NCI-mandated institutional scientific review of oncology clinical trials contributes substantially to protocol activation timelines. Further evaluation of this process and the value added to research quality is warranted.
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Affiliation(s)
- Ning Ning
- University of Texas Southwestern Medical Center, Dallas, TX
| | - Jingsheng Yan
- University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Xian-Jin Xie
- University of Texas Southwestern Medical Center, Dallas, TX
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33
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Gobbini E, Pilotto S, Pasello G, Polo V, Di Maio M, Arizio F, Galetta D, Petrillo P, Chiari R, Matocci R, Di Costanzo A, Di Stefano TS, Aglietta M, Cagnazzo C, Sperduti I, Bria E, Novello S. Effect of Contract Research Organization Bureaucracy in Clinical Trial Management: A Model From Lung Cancer. Clin Lung Cancer 2017; 19:191-198. [PMID: 29153968 DOI: 10.1016/j.cllc.2017.10.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Revised: 10/10/2017] [Accepted: 10/19/2017] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Contract research organization (CRO) support is largely included in clinical trial management, although its effect in terms of time savings and benefit has not yet been quantified. We performed a retrospective multicenter analysis of lung cancer trials to explore differences in term of trial activation timelines and accrual for studies with and without CRO involvement. MATERIALS AND METHODS Results regarding study timelines from feasibility data to first patient enrollment were collected from 7 Italian thoracic oncology departments. The final accruals (screened/enrolled patients) are reported. We considered CRO/sponsor-administered and CRO-free trials according to who was responsible for the management of the crucial setup phases. RESULTS Of 113 trials, 62 (54.9%) were CRO-administered, 34 (30.1%) were sponsor-administered, and 17 (15.0%) were CRO-free. The median time from feasibility invitation to documentation obtainment was 151 days in the CRO-administered trials versus 128 in the sponsor-administered and 120 in the CRO-free trials. The time from document submission to contract signature was 142 days in the CRO-administered versus 128 in the sponsor-administered and 132 in the CRO-free trials. The time from global accrual opening to first patient enrollment was 247 days for the CRO-administered versus 194 in the sponsor-administered and 151 in the CRO-free trials. No significant differences were observed in terms of the median overall timeline: 21 months in the CRO-administered, 15 in the sponsor-administered, and 18 months in the CRO-free studies (P = .29). CONCLUSION Although no statistically significant differences were identified, the results of our analysis support the idea that bureaucratic procedures might require more time in CRO-administered trials than in sponsor-administered and CRO-free studies. This bureaucratic delay could negatively affect Italian patients' screening and enrollment compared with other countries.
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Affiliation(s)
- Elisa Gobbini
- Department of Oncology, University of Turin, Azienda Ospedaliero-Universitaria San Luigi Gonzaga, Orbassano, Italy
| | - Sara Pilotto
- Department of Medical Oncology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
| | - Giulia Pasello
- Department of Medical Oncology 2, Istituto Oncologico Veneto IRCCS, Padua, Italy
| | - Valentina Polo
- Department of Medical Oncology 2, Istituto Oncologico Veneto IRCCS, Padua, Italy
| | - Massimo Di Maio
- Department of Oncology, University of Turin, Mauriziano Hospital, Turin, Italy
| | - Francesca Arizio
- Department of Oncology, University of Turin, Azienda Ospedaliero-Universitaria San Luigi Gonzaga, Orbassano, Italy
| | - Domenico Galetta
- Oncology Unit, Clinical Cancer Center, "Giovanni Paolo II", Bari, Italy
| | - Patrizia Petrillo
- Oncology Unit, Clinical Cancer Center, "Giovanni Paolo II", Bari, Italy
| | - Rita Chiari
- Oncology Unit, "Santa Maria della Misericordia" Hospital, Perugia, Italy
| | - Roberta Matocci
- Oncology Unit, "Santa Maria della Misericordia" Hospital, Perugia, Italy
| | | | | | | | | | - Isabella Sperduti
- Department of Biostatistics, Regina Elena National Cancer Institute, Rome, Italy
| | - Emilio Bria
- Department of Medical Oncology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Silvia Novello
- Department of Oncology, University of Turin, Azienda Ospedaliero-Universitaria San Luigi Gonzaga, Orbassano, Italy
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A multisite study of performance drivers among institutional review boards. J Clin Transl Sci 2017; 1:192-197. [PMID: 29093967 PMCID: PMC5652635 DOI: 10.1017/cts.2017.8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 03/31/2017] [Accepted: 04/16/2017] [Indexed: 12/02/2022] Open
Abstract
Introduction The time required to obtain Institutional Review Board (IRB) approval is a frequent subject of efforts to reduce unnecessary delays in initiating clinical trials. This study was conducted by and for IRB directors to better understand factors affecting approval times as a first step in developing a quality improvement framework. Methods 807 IRB-approved clinical trials from 5 University of California campuses were analyzed to identify operational and clinical trial characteristics influencing IRB approval times. Results High workloads, low staff ratios, limited training, and the number and types of ancillary reviews resulted in longer approval times. Biosafety reviews and the need for billing coverage analysis were ancillary reviews that contributed to the longest delays. Federally funded and multisite clinical trials had shorter approval times. Variability in between individual committees at each institution reviewing phase 3 multisite clinical trials also contributed to delays for some protocols. Accreditation was not associated with shorter approval times. Conclusions Reducing unnecessary delays in obtaining IRB approval will require a quality improvement framework that considers operational and study characteristics as well as the larger institutional regulatory environment.
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35
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Frankel AE, Flaherty KT, Weiner GJ, Chen R, Azad NS, Pishvaian MJ, Thompson JA, Taylor MH, Mahadevan D, Lockhart AC, Vaishampayan UN, Berlin JD, Smith DC, Sarantopoulos J, Riese M, Saleh MN, Ahn C, Frenkel EP. Academic Cancer Center Phase I Program Development. Oncologist 2017; 22:369-374. [PMID: 28314841 PMCID: PMC5388388 DOI: 10.1634/theoncologist.2016-0409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 01/09/2017] [Indexed: 11/23/2022] Open
Abstract
This commentary assesses the factors necessary for the effectiveness of academic phase I cancer programs. The metrics presented here may be useful as a rubric for new and established programs. Multiple factors critical to the effectiveness of academic phase I cancer programs were assessed among 16 academic centers in the U.S. Successful cancer centers were defined as having broad phase I and I/II clinical trial portfolios, multiple investigator‐initiated studies, and correlative science. The most significant elements were institutional philanthropic support, experienced clinical research managers, robust institutional basic research, institutional administrative efforts to reduce bureaucratic regulatory delays, phase I navigators to inform patients and physicians of new studies, and a large cancer center patient base. New programs may benefit from a separate stand‐alone operation, but mature phase I programs work well when many of the activities are transferred to disease‐oriented teams. The metrics may be useful as a rubric for new and established academic phase I programs.
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Affiliation(s)
- Arthur E Frankel
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - George J Weiner
- Holden Comprehensive Cancer Center at the University of Iowa, Iowa City, Iowa, USA
| | - Robert Chen
- City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Nilofer S Azad
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, Maryland, USA
| | - Michael J Pishvaian
- Georgetown University Medical Center, Lombardi Cancer Center, Washington DC, USA
| | - John A Thompson
- Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance, Seattle, Washington, USA
| | | | | | - A Craig Lockhart
- Alvin J. Siteman Cancer Center at the Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Jordan D Berlin
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - John Sarantopoulos
- Institute for Drug Development at the Cancer Therapy and Research Center of the University of Texas Health Science Center, San Antonio, Texas, USA
| | - Matthew Riese
- Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Mansoor N Saleh
- Comprehensive Cancer Center at the University of Alabama, Birmingham, Alabama, USA
| | - Chul Ahn
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Eugene P Frenkel
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
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Tang C, Sherman SI, Price M, Weng J, Davis SE, Hong DS, Yao JC, Buzdar A, Wilding G, Lee JJ. Clinical Trial Characteristics and Barriers to Participant Accrual: The MD Anderson Cancer Center Experience over 30 years, a Historical Foundation for Trial Improvement. Clin Cancer Res 2017; 23:1414-1421. [PMID: 28275168 DOI: 10.1158/1078-0432.ccr-16-2439] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Revised: 12/15/2016] [Accepted: 12/19/2016] [Indexed: 12/30/2022]
Abstract
Purpose: Slow-accruing clinical trials delay the translation of basic biomedical research, contribute to increasing health care costs, and may prohibit trials from reaching their original goals.Experimental Design: We analyzed a prospectively maintained institutional database that tracks all clinical studies at the MD Anderson Cancer Center (Houston, TX). Inclusion criteria were activated phase I-III trials, maximum projected accrual ≥10 participants, and activation prior to March 25, 2011. The primary outcome was slow accrual, defined as <2 participants per year. Correlations of trial characteristics with slow accrual were assessed with logistic regression.Results: A total of 4,269 clinical trials met inclusion criteria. Trials were activated between January 5, 1981, and March 25, 2011, with a total of 145,214 participants enrolled. Median total enrolment was 16 [interquartile range (IQR), 5-34], with an average enrolment rate of 8.7 participants per year (IQR, 3.3-17.7). There were 755 (18%) trials classified as slow accruing. On multivariable analysis, slow accrual exhibited robust associations with national cooperative group trials (OR = 4.16, P < 0.0001 vs. industry sponsored), time from trial activation to first enrolment (OR = 1.13 per month, P < 0.0001), and maximum targeted accrual (OR = 0.16 per log10 increase, P < 0.0001). Recursive partitioning analysis identified trials requiring more than 70 days (2.3 months) between activation and first participant enrolment as having higher odds of slow accrual (23% vs. 5%, OR = 5.56, P < 0.0001).Conclusions: We identified factors associated with slow trial accrual. Given the lack of data on clinical trials at the institutional level, these data will help build a foundation from which targeted initiatives may be developed to improve the clinical trial enterprise. Clin Cancer Res; 23(6); 1414-21. ©2017 AACR.
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Affiliation(s)
- Chad Tang
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas.
| | - Steven I Sherman
- Department of Endocrine Neoplasia and Hormonal Disorders, MD Anderson Cancer Center, Houston, Texas
| | - Mellanie Price
- Office of Vice Provost for Clinical and Interdisciplinary Research, MD Anderson Cancer Center, Houston, Texas
| | - Jun Weng
- Department of Biostatistics, MD Anderson Cancer Center, Houston, Texas
| | - Suzanne E Davis
- Office of Vice Provost for Clinical and Interdisciplinary Research, MD Anderson Cancer Center, Houston, Texas
| | - David S Hong
- Department of Investigational Cancer Therapeutics, MD Anderson Cancer Center, Houston, Texas
| | - James C Yao
- Department of Gastrointestinal Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Aman Buzdar
- Department of Breast Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - George Wilding
- Office of Vice Provost for Clinical and Interdisciplinary Research, MD Anderson Cancer Center, Houston, Texas
| | - J Jack Lee
- Department of Biostatistics, MD Anderson Cancer Center, Houston, Texas.
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Reynolds PS, Michael MJ, Spiess BD. Application of Incident Command Structure to clinical trial management in the academic setting: principles and lessons learned. Trials 2017; 18:62. [PMID: 28183347 PMCID: PMC5301359 DOI: 10.1186/s13063-016-1755-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 12/13/2016] [Indexed: 11/10/2022] Open
Abstract
Background Clinical trial success depends on appropriate management, but practical guidance to trial organisation and planning is lacking. The Incident Command System (ICS) is the ‘gold standard’ management system developed for managing diverse operations in major incident and public health arenas. It enables effective and flexible management through integration of personnel, procedures, resources, and communications within a common hierarchical organisational structure. Conventional ICS organisation consists of five function modules: Command, Planning, Operations, Logistics, and Finance/Administration. Large clinical trials will require a separate Regulatory Administrative arm, and an Information arm, consisting of dedicated data management and information technology staff. We applied ICS principles to organisation and management of the Prehospital Use of Plasma in Traumatic Haemorrhage (PUPTH) trial. This trial was a multidepartmental, multiagency, randomised clinical trial investigating prehospital administration of thawed plasma on mortality and coagulation response in severely injured trauma patients. We describe the ICS system as it would apply to large clinical trials in general, and the benefits, barriers, and lessons learned in utilising ICS principles to reorganise and coordinate the PUPTH trial. Results Without a formal trial management structure, early stages of the trial were characterised by inertia and organisational confusion. Implementing ICS improved organisation, coordination, and communication between multiple agencies and service groups, and greatly streamlined regulatory compliance administration. However, unfamiliarity of clinicians with ICS culture, conflicting resource allocation priorities, and communication bottlenecks were significant barriers. Conclusions ICS is a flexible and powerful organisational tool for managing large complex clinical trials. However, for successful implementation the cultural, psychological, and social environment of trial participants must be accounted for, and personnel need to be educated in the basics of ICS. Trial registration ClinicalTrials.gov, NCT02303964. Registered on 28 November 2014.
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Affiliation(s)
- Penny S Reynolds
- Department of Anesthesiology, Virginia Commonwealth University Medical Center, Richmond, VA, USA. .,Present address: Department of Anesthesiology, University of Florida, Gainesville, FL, USA.
| | - Mary J Michael
- Department of Anesthesiology, Virginia Commonwealth University Medical Center, Richmond, VA, USA.,Present address: Department of Anesthesiology, University of Florida, Gainesville, FL, USA
| | - Bruce D Spiess
- Department of Anesthesiology, Virginia Commonwealth University Medical Center, Richmond, VA, USA.,Present address: Department of Anesthesiology, University of Florida, Gainesville, FL, USA
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Optimization of protocol design: a path to efficient, lower cost clinical trial execution. Future Sci OA 2016; 2:FSO89. [PMID: 28031939 PMCID: PMC5137936 DOI: 10.4155/fso.15.89] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 12/04/2015] [Indexed: 11/17/2022] Open
Abstract
Managing clinical trials requires strategic planning and efficient execution. In order to achieve a timely delivery of important clinical trials' outcomes, it is useful to establish standardized trial management guidelines and develop robust scoring methodology for evaluation of study protocol complexity. This review will explore the challenges clinical teams face in developing protocols to ensure that the right patients are enrolled and the right data are collected to demonstrate that a drug is safe and efficacious, while managing study costs and study complexity based on proposed comprehensive scoring model. Key factors to consider when developing protocols and techniques to minimize complexity will be discussed. A methodology to identify processes at planning phase, approaches to increase fiscal return and mitigate fiscal compliance risk for clinical trials will be addressed.
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39
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Tang C, Hess KR, Sanders D, Davis SE, Buzdar AU, Kurzrock R, Lee JJ, Meric-Bernstam F, Hong DS. Modifying the Clinical Research Infrastructure at a Dedicated Clinical Trials Unit: Assessment of Trial Development, Activation, and Participant Accrual. Clin Cancer Res 2016; 23:1407-1413. [PMID: 27852698 DOI: 10.1158/1078-0432.ccr-16-1936] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 10/09/2016] [Accepted: 11/06/2016] [Indexed: 11/16/2022]
Abstract
Purpose: Information on processes for trials assessing investigational therapeutics is sparse. We assessed the trial development processes within the Department of Investigational Cancer Therapeutics (ICT) at MD Anderson Cancer Center (Houston, TX) and analyzed their effects on the trial activation timeline and enrolment.Experimental Design: Data were from a prospectively maintained registry that tracks all clinical studies at MD Anderson. From this database, we identified 2,261 activated phase I-III trials; 221 were done at the ICT. ICT trials were matched to trials from other MD Anderson departments by phase, sponsorship, and submission year. Trial performance metrics were compared with paired Wilcoxon signed rank tests.Results: We identified three facets of the ICT research infrastructure: parallel processing of trial approval steps; a physician-led research team; and regular weekly meetings to foster research accountability. Separate analyses were conducted stratified by sponsorship [industry (133 ICT and 133 non-ICT trials) or institutional (68 ICT and 68 non-ICT trials)]. ICT trial development was faster from IRB approval to activation (median difference of 1.1 months for industry-sponsored trials vs. 2.3 months for institutional) and from activation to first enrolment (median difference of 0.3 months for industry vs. 1.2 months for institutional; all matched P < 0.05). ICT trials also accrued more patients (median difference of 8 participants for industry vs. 33.5 for institutional) quicker (median difference 4.8 participants/year for industry vs. 11.1 for institutional; all matched P < 0.05).Conclusions: Use of a clinical research-focused infrastructure within a large academic cancer center was associated with efficient trial development and participant accrual. Clin Cancer Res; 23(6); 1407-13. ©2016 AACR.
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Affiliation(s)
- Chad Tang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Kenneth R Hess
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dwana Sanders
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Suzanne E Davis
- Department of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Aman U Buzdar
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Office of Vice Provost for Clinical and Interdisciplinary Research, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Razelle Kurzrock
- Division of Hematology and Oncology, Center for Personalized Therapy, University of San Diego, La Jolla, California
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David S Hong
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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40
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Steering Committee Of The Blood And Marrow Transplant Clinical Trials Network. The Blood and Marrow Transplant Clinical Trials Network: An Effective Infrastructure for Addressing Important Issues in Hematopoietic Cell Transplantation. Biol Blood Marrow Transplant 2016; 22:1747-1757. [PMID: 27418009 PMCID: PMC5027144 DOI: 10.1016/j.bbmt.2016.07.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 07/08/2016] [Indexed: 12/01/2022]
Abstract
Hematopoietic cell transplantation (HCT) is a rapidly evolving field with active preclinical and clinical development of new strategies for patient assessment, graft selection and manipulation, and pre- and post-transplantation drug and cell therapy. New strategies require evaluation in definitive clinical trials; however, HCT trials face unique challenges, including the relatively small number of transplantations performed at any single center, the diverse indications for HCT requiring dissimilar approaches, the complex nature of the intervention itself, the risk of multiple complications in the immediate post-transplantation period, and the risk of important, though infrequent, late effects. The Blood and Marrow Transplant Clinical Trials Network (BMT CTN) was established by the US National Heart Lung and Blood Institute and the National Cancer Institute to meet these challenges. In its 15 years as a network, the BMT CTN has proven to be a successful infrastructure for planning, implementing, and completing such trials and for providing definitive answers to questions leading to improvements in the understanding and practice of HCT. It has opened 37 trials, about one-half phase 2 and one-half phase 3, enrolled more than 8000 patients, and published 57 papers addressing important issues in the treatment of patients with life-threatening malignant and nonmalignant blood disorders. This review describes the network's accomplishments, key components of its success, lessons learned over the past 15 years, and challenges for the future.
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Choi YJ, Kim KP, Park S, Park M, Kim S, Kim Y, Bae KS, Beck SH, Choi KE, Chung JW, Lim Y, Kim TW. Process Innovation Improves Trial Operation Efficiency. Ther Innov Regul Sci 2016; 50:510-514. [DOI: 10.1177/2168479016634148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Martinez DA, Tsalatsanis A, Yalcin A, Zayas-Castro JL, Djulbegovic B. Activating clinical trials: a process improvement approach. Trials 2016; 17:106. [PMID: 26907923 PMCID: PMC4765218 DOI: 10.1186/s13063-016-1227-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 02/11/2016] [Indexed: 01/25/2023] Open
Abstract
Background The administrative process associated with clinical trial activation has been criticized as costly, complex, and time-consuming. Prior research has concentrated on identifying administrative barriers and proposing various solutions to reduce activation time, and consequently associated costs. Here, we expand on previous research by incorporating social network analysis and discrete-event simulation to support process improvement decision-making. Methods We searched for all operational data associated with the administrative process of activating industry-sponsored clinical trials at the Office of Clinical Research of the University of South Florida in Tampa, Florida. We limited the search to those trials initiated and activated between July 2011 and June 2012. We described the process using value stream mapping, studied the interactions of the various process participants using social network analysis, and modeled potential process modifications using discrete-event simulation. Results The administrative process comprised 5 sub-processes, 30 activities, 11 decision points, 5 loops, and 8 participants. The mean activation time was 76.6 days. Rate-limiting sub-processes were those of contract and budget development. Key participants during contract and budget development were the Office of Clinical Research, sponsors, and the principal investigator. Simulation results indicate that slight increments on the number of trials, arriving to the Office of Clinical Research, would increase activation time by 11 %. Also, incrementing the efficiency of contract and budget development would reduce the activation time by 28 %. Finally, better synchronization between contract and budget development would reduce time spent on batching documentation; however, no improvements would be attained in total activation time. Conclusion The presented process improvement analytic framework not only identifies administrative barriers, but also helps to devise and evaluate potential improvement scenarios. The strength of our framework lies in its system analysis approach that recognizes the stochastic duration of the activation process and the interdependence between process activities and entities. Electronic supplementary material The online version of this article (doi:10.1186/s13063-016-1227-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Diego A Martinez
- Department of Emergency Medicine, Johns Hopkins University, 5801 Smith Avenue Baltimore, Baltimore, 21209, MD, USA.
| | - Athanasios Tsalatsanis
- USF Health Program for Comparative Effectiveness Research, Department of Internal Medicine, University of South Florida, 12901 Bruce B. Downs Blvd., MDC 27, Tampa, FL, 33612, USA.
| | - Ali Yalcin
- Department of Industrial and Management Systems Engineering, University of South Florida, 4202 East Fowler Avenue, Tampa, 3360, FL, USA.
| | - José L Zayas-Castro
- Department of Industrial and Management Systems Engineering, University of South Florida, 4202 East Fowler Avenue, Tampa, 3360, FL, USA.
| | - Benjamin Djulbegovic
- USF Health Program for Comparative Effectiveness Research, Department of Internal Medicine, University of South Florida, 12901 Bruce B. Downs Blvd., MDC 27, Tampa, FL, 33612, USA. .,H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Drive, Tampa, 33612, FL, USA.
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Ning N, Yan J, Xie XJ, Gerber DE. Impact of NCI-mandated scientific review on protocol development and content. J Natl Compr Canc Netw 2016; 13:409-16. [PMID: 25870377 DOI: 10.6004/jnccn.2015.0056] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE The NCI requirement that clinical trials at NCI-designated cancer centers undergo scientific review in addition to Institutional Review Board review is unique among medical specialties. We evaluated the impact of this process on protocol development and content. METHODS We analyzed cancer clinical trials that underwent full board review by the Harold C. Simmons Cancer Center Protocol Review and Monitoring Committee (PRMC) from January 1, 2009, through June 30, 2013. We analyzed associations between trial characteristics, PRMC decisions, and protocol modifications using Chi-square testing, Fishers exact testing, and logistic regression. RESULTS A total of 226 trials were analyzed. Of these, 77% were industry-sponsored and 23% were investigator-initiated. Initial PRMC decisions were: approval (40%), provisional approval (52%), deferral (7%), and disapproval (1%). These decisions were associated with study sponsor (P<.001) and phase (P<.001). Ultimately, 97% of industry-sponsored and 90% of investigator-initiated trials were approved (P=.05). Changes were requested for 27% of industry-sponsored trials compared with 54% of investigator-initiated trials (P<.001). Total changes requested (mean, 5.6 vs 2.4; P<.001) and implemented (mean, 4.6 vs 2.1; P=.008) per protocol were significantly greater for investigator-initiated trials. Changes related to study design were more commonly requested (35% vs 13% of trials) and implemented (40% vs 5% of trials) for investigator-initiated trials compared with industry-sponsored trials (P=.03). CONCLUSIONS NCI-mandated scientific protocol review seems to have a substantial impact on investigator-initiated trials but less effect on industry-sponsored trials. These findings may provide guidance on development and prioritization of institutional protocol review policies.
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Affiliation(s)
- Ning Ning
- From School of Medicine, Harold C. Simmons Cancer Center, Department of Clinical Sciences, and Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jingsheng Yan
- From School of Medicine, Harold C. Simmons Cancer Center, Department of Clinical Sciences, and Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Xian-Jin Xie
- From School of Medicine, Harold C. Simmons Cancer Center, Department of Clinical Sciences, and Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, Texas. From School of Medicine, Harold C. Simmons Cancer Center, Department of Clinical Sciences, and Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - David E Gerber
- From School of Medicine, Harold C. Simmons Cancer Center, Department of Clinical Sciences, and Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, Texas. From School of Medicine, Harold C. Simmons Cancer Center, Department of Clinical Sciences, and Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, Texas
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Choi YJ, Jeon H, Kim S, In Y, Park SY, Park M, Park S, Lee Y, Kim S, Kim KP, Koo HY, Kim TW. A Trial Activation Initiative to Accelerate Trial Opening in an Academic Medical Center. Ther Innov Regul Sci 2015; 49:234-238. [PMID: 30222419 DOI: 10.1177/2168479014554399] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Delays in trial opening should be considered critical for the sake of not only the sponsor but the patients, as they may result in inequities of care. The Asan Medical Center, in Seoul, Korea, implemented a trial activation initiative in July 2012, in an aim to expedite the trial initiation timeline. Time intervals between trial initiation steps and the rate of institutional review board (IRB) and clinical trial agreement (CTA) parallel submission were assessed. A higher rate of parallel IRB and CTA submissions was observed after initiative implementation (25.5% vs 52.3%; P < .001). Initiative applications were shown to significantly accelerate the median trial opening time, from 114 to 81 days ( P < .001). Strategic processing of parallel submissions greatly shortened the median time required for trial initiation from 117 to 61 days compared with sequential submissions ( P < .001). A trial activation initiative including parallel IRB and CTA submissions is an effective tool for accelerating trial commencements.
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Affiliation(s)
- Yun Jung Choi
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - HyeJung Jeon
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - Sinae Kim
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - YunJeong In
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - Soo Yeon Park
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - MiYeon Park
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - Sumi Park
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - YooMi Lee
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - Sulhwa Kim
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - Kyu-Pyo Kim
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea.,2 Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ha Yeong Koo
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea
| | - Tae Won Kim
- 1 Asan Medical Center, Clinical Trial Center, Seoul, Korea.,2 Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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De Feo G, Frontini L, Rota S, Pepe A, Signoriello S, Labianca R, Sobrero A, De Placido S, Perrone F. Time required to start multicentre clinical trials within the Italian Medicine Agency programme of support for independent research. JOURNAL OF MEDICAL ETHICS 2015; 41:799-803. [PMID: 26066362 DOI: 10.1136/medethics-2012-100803] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2012] [Accepted: 05/26/2015] [Indexed: 06/04/2023]
Abstract
BACKGROUND AND AIM Time allowed for independent ethics committees (IECs) and administrative offices to assess and activate clinical trials is regulated by law. This study aims to describe time spent activating two multicentre non-profit trials supported by the Italian Medicines Agency (AIFA). Five non-AIFA supported (NAS) trials were used as a benchmark. METHODS The two AIFA-supported trials were FATA-GIM3 (optimal adjuvant hormonal treatment for breast cancer) and TOSCA (duration of adjuvant FOLFOX in colorectal cancer). The five NAS trials focused on lung or ovarian cancer. The following were measured for all trials: date of submission of trial documentation to peripheral IEC, date of IEC opinion and date trial contracts were signed. Times are reported in months. RESULTS 106 centres applied to participate in FATA-GIM3 and 137 in TOSCA. An IEC opinion was issued by 100/106 (1 negative opinion) and 137/137 (2 negative opinions) centres, with a median time from submission of 3.6 months (range 0.1-60.2). After a positive IEC opinion, the median time before signing the trial contract was 3.3 months (0.1-59.2). Contracts were signed with 93/99 and 135/135 centres, with a median time from submission of study documentation of 8.4 months (0.5-61.1). Times for NAS trials were not substantially different. CONCLUSIONS FATA-GIM3 and TOSCA centres were opened after a median of 8 months, consisting of nearly 4 months each for IEC opinion and administrative signature, similar to the NAS trials. The process of trial activation in Italy remains inefficient and takes far longer than legally allowed.
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Affiliation(s)
| | | | | | - Antonio Pepe
- Department of Endocrinology and Molecular Oncology, Federico II University, Naples, Italy
| | - Simona Signoriello
- Department of Mental Health and Preventive Medicine, Second University, Naples, Italy
| | - Roberto Labianca
- Department of Medical Oncology, Ospedali Riuniti, Bergamo, Italy
| | - Alberto Sobrero
- Department of Medical Oncology, San Martino Hospital, Genoa, Italy
| | - Sabino De Placido
- Department of Endocrinology and Molecular Oncology, Federico II University, Naples, Italy
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Wang-Gillam A, Williams K. Paving the road to clinical trial participation: removing road blocks and directing patients toward novel therapies. J Natl Compr Canc Netw 2015; 13:118-20. [PMID: 25583774 DOI: 10.6004/jnccn.2015.0013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Butler J, Fonarow GC, O'Connor C, Adams K, Bonow RO, Cody RJ, Collins SP, Dunnmon P, Dinh W, Fiuzat M, Georgiopoulou VV, Grant S, Kim SY, Kupfer S, Lefkowitz M, Mentz RJ, Misselwitz F, Pitt B, Roessig L, Schelbert E, Shah M, Solomon S, Stockbridge N, Yancy C, Gheorghiade M. Improving cardiovascular clinical trials conduct in the United States: recommendation from clinicians, researchers, sponsors, and regulators. Am Heart J 2015; 169:305-14. [PMID: 25728719 DOI: 10.1016/j.ahj.2014.12.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 12/10/2014] [Indexed: 12/21/2022]
Abstract
Advances in medical therapies leading to improved patient outcomes are in large part related to successful conduct of clinical trials that offer critical information regarding the efficacy and safety of novel interventions. The conduct of clinical trials in the United States, however, continues to face increasing challenges with recruitment and retention. These trends are paralleled by an increasing shift toward more multinational trials where most participants are enrolled in countries outside the United States, bringing into question the generalizability of the results to the American population. This manuscript presents the perspectives and recommendations from clinicians, researchers, sponsors, and regulators who attended a meeting facilitated by the Food and Drug Administration to improve upon the current clinical trial trends in the United States.
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Affiliation(s)
- Javed Butler
- Cardiology Division, Stony Brook University, Stony Brook, NY.
| | | | | | | | - Robert O Bonow
- Center for Cardiovascular Innovation, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Robert J Cody
- Cardiovascular & Metabolism, Janssen Pharmaceuticals, Raritan, NJ
| | | | - Preston Dunnmon
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
| | - Wilfried Dinh
- Department of Cardiology, Witten University, Witten, Germany; Global Drug Discovery, Clinical Sciences, Bayer Pharma AG, Berlin, Germany
| | - Mona Fiuzat
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC
| | | | - Stephen Grant
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
| | - So-Young Kim
- Global Clinical Development, Bayer HealthCare AG, Wuppertal, Germany
| | | | | | - Robert J Mentz
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC
| | - Frank Misselwitz
- Global Clinical Development, Bayer HealthCare AG, Wuppertal, Germany
| | - Bertram Pitt
- Division of Cardiology, University of Michigan School of Medicine, Ann Arbor, MI
| | - Lothar Roessig
- Global Clinical Development, Bayer HealthCare AG, Wuppertal, Germany
| | - Erik Schelbert
- University of Pittsburgh Medical Center Heart and Vascular Institute, Pittsburgh, PA
| | - Monica Shah
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD
| | - Scott Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Boston, MA
| | - Norman Stockbridge
- Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
| | - Clyde Yancy
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Mihai Gheorghiade
- Center for Cardiovascular Innovation, Northwestern University Feinberg School of Medicine, Chicago, IL
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D'Alimonte L, Deabreu A, Marquez A, Mamedov A, Loblaw A. Improving clinical trial accrual through a novel feedback approach: Lessons learned from a single disease site group. Pract Radiat Oncol 2014; 5:70-3. [PMID: 25413410 DOI: 10.1016/j.prro.2014.05.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 05/21/2014] [Accepted: 05/26/2014] [Indexed: 11/26/2022]
Abstract
PURPOSE Physician participation is critical for the success of clinical trials. Many efforts have been made to aid physicians with accrual. The aim of our study was to determine what impact a new feedback initiative had on clinical trial accrual and recruitment within a large disease site group. METHODS AND MATERIALS A novel feedback initiative was implemented within a large multidisciplinary disease site group. Feedback on trial recruitment by physician and by study for the month and year to date was formally presented at the end of each trial month at weekly tumor board meetings. In addition, the feedback was sent via email. Trial recruitment was assessed both preintervention and postintervention. RESULTS A 9-month reporting period both preintervention and postintervention are reported. Total accruals within each observation window were 79 versus 209 patients, respectively. Preintervention, the mean number of patients accrued per month was 8.44 (range, 2-16). Postintervention, the mean number of patients accrued was 23.2 (range, 14-48). Preintervention, physicians only accrued to trials within their specialty. Postintervention, this improved by 4% monthly. CONCLUSIONS Physicians play a key role in the success of clinical trials. By adopting a simple monthly feedback communication initiative, we were able to improve clinical trial accruals. Long-term assessment is required to understand longitudinal impact on accrual rates.
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Affiliation(s)
- Laura D'Alimonte
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
| | - Andrea Deabreu
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Arlynne Marquez
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Alexandre Mamedov
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Andrew Loblaw
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Health Policy, Measurement and Evaluation, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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Abrams JS, Mooney M, Zwiebel J, Friedman S. Improving the protocol implementation process: the National Cancer Institute's response. J Clin Oncol 2014; 32:2515-6. [PMID: 25002734 DOI: 10.1200/jco.2014.55.5912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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