Remote Monitoring and Data Collection for Decentralized Clinical Trials

Author:

Daly Bobby1,Brawley Otis W.2,Gospodarowicz Mary K.3,Olopade Olufunmilayo I.4,Fashoyin-Aje Lola5,Smart Victoria Wolodzko6,Chang I-Fen7,Tendler Craig L.8,Kim Geoffrey9,Fuchs Charles S.1011,Beg Muhammad Shaalan1213,Zhang Lianshan14,Legos Jeffrey J.15,Duran Cristina Ortega16,Kalidas Chitkala17,Qian Jing18,Finnegan Justin19,Pilarski Piotr20,Keane Harriet20,Shen Johanna20,Silverstein Amy20,Wu Yi-Long21,Pazdur Richard5,Li Bob T.1

Affiliation:

1. Department of Medicine, Memorial Sloan Kettering Cancer Center and Weill Cornell Medicine, New York, New York

2. School of Medicine, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

3. Princess Margaret Cancer Center, University of Toronto, Toronto, Ontario, Canada

4. Medicine and Human Genetics, Center for Clinical Cancer Genetics and Global Health, University of Chicago Medical Center, Chicago, Illinois

5. Oncology Center of Excellence, US Food and Drug Administration, Silver Spring, Maryland

6. Susan G. Komen Foundation, Dallas, Texas

7. Amgen Inc, Thousand Oaks, California

8. Janssen, Johnson & Johnson, New Brunswick, New Jersey

9. BeiGene, Cambridge, Massachusetts

10. Genentech, South San Francisco, California

11. Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut

12. Science 37, Durham, North Carolina

13. Internal Medicine, Gastrointestinal Oncology, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas

14. Jiangsu Hengrui Pharmaceuticals, Shanghai, China

15. Novartis, Basel, Switzerland

16. AstraZeneca, Cambridge, United Kingdom

17. Bayer, Leverkusen, Germany

18. Asia Society, New York, New York

19. Bloomberg New Economy, Bloomberg LP, New York, New York

20. McKinsey Cancer Center, McKinsey & Company, New York, New York

21. Guangdong Lung Cancer Institute, Chinese Thoracic Oncology Group, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Abstract

ImportanceLess than 5% of patients with cancer enroll in a clinical trial, partly due to financial and logistic burdens, especially among underserved populations. The COVID-19 pandemic marked a substantial shift in the adoption of decentralized trial operations by pharmaceutical companies.ObjectiveTo assess the current global state of adoption of decentralized trial technologies, understand factors that may be driving or preventing adoption, and highlight aspirations and direction for industry to enable more patient-centric trials.Design, Setting, and ParticipantsThe Bloomberg New Economy International Cancer Coalition, composed of patient advocacy, industry, government regulator, and academic medical center representatives, developed a survey directed to global biopharmaceutical companies of the coalition from October 1 through December 31, 2022, with a focus on registrational clinical trials. The data for this survey study were analyzed between January 1 and 31, 2023.ExposureAdoption of decentralized clinical trial technologies.Main Outcomes and MeasuresThe survey measured (1) outcomes of different remote monitoring and data collection technologies on patient centricity, (2) adoption of these technologies in oncology and all therapeutic areas, and (3) barriers and facilitators to adoption using descriptive statistics.ResultsAll 8 invited coalition companies completed the survey, representing 33% of the oncology market by revenues in 2021. Across nearly all technologies, adoption in oncology trials lags that of all trials. In the current state, electronic diaries and electronic clinical outcome assessments are the most used technology, with a mean (SD) of 56% (19%) and 51% (29%) adoption for all trials and oncology trials, respectively, whereas visits within local physician networks is the least adopted at a mean (SD) of 12% (18%) and 7% (9%), respectively. Looking forward, the difference between the current and aspired adoption rate in 5 years for oncology is large, with respondents expecting a 40% or greater absolute adoption increase in 8 of the 11 technologies surveyed. Furthermore, digitally enabled recruitment, local imaging capabilities, and local physician networks were identified as technologies that could be most effective for improving patient centricity in the long term.Conclusions and RelevanceThese findings may help to galvanize momentum toward greater adoption of enabling technologies to support a new paradigm of trials that are more accessible, less burdensome, and more inclusive.

Publisher

American Medical Association (AMA)

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