The Integration of Clinical Trials With the Practice of Medicine: Repairing a House Divided

被引:18
作者
Angus, Derek C. [1 ,2 ]
Huang, Alison J. [3 ]
Lewis, Roger J. [1 ,4 ]
Abernethy, Amy P. [5 ,6 ]
Califf, Robert M. [7 ]
Landray, Martin [8 ,9 ]
Kass, Nancy [10 ]
Bibbins-Domingo, Kirsten [1 ,3 ]
机构
[1] JAMA, Chicago, IL USA
[2] Univ Pittsburgh, Sch Hlth Sci, Pittsburgh, PA USA
[3] Univ Calif San Francisco, San Francisco, CA USA
[4] UCLA, David Geffen Sch Med, Los Angeles, CA USA
[5] Verily Life Sci, San Francisco, CA USA
[6] Highlander Hlth, Dallas, TX USA
[7] US FDA, Washington, DC USA
[8] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England
[9] Protas, Manchester, England
[10] Johns Hopkins Univ, Baltimore, MD USA
来源
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2024年 / 332卷 / 02期
关键词
RANDOMIZED-TRIALS; CARE; PREECLAMPSIA; GUIDELINES; QUALITY; ETHICS; INJURY; ADULTS;
D O I
10.1001/jama.2024.4088
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Importance Optimal health care delivery, both now and in the future, requires a continuous loop of knowledge generation, dissemination, and uptake on how best to provide care, not just determining what interventions work but also how best to ensure they are provided to those who need them. The randomized clinical trial (RCT) is the most rigorous instrument to determine what works in health care. However, major issues with both the clinical trials enterprise and the lack of integration of clinical trials with health care delivery compromise medicine's ability to best serve society. Observations In most resource-rich countries, the clinical trials and health care delivery enterprises function as separate entities, with siloed goals, infrastructure, and incentives. Consequently, RCTs are often poorly relevant and responsive to the needs of patients and those responsible for care delivery. At the same time, health care delivery systems are often disengaged from clinical trials and fail to rapidly incorporate knowledge generated from RCTs into practice. Though longstanding, these issues are more pressing given the lessons learned from the COVID-19 pandemic, heightened awareness of the disproportionate impact of poor access to optimal care on vulnerable populations, and the unprecedented opportunity for improvement offered by the digital revolution in health care. Four major areas must be improved. First, especially in the US, greater clarity is required to ensure appropriate regulation and oversight of implementation science, quality improvement, embedded clinical trials, and learning health systems. Second, greater adoption is required of study designs that improve statistical and logistical efficiency and lower the burden on participants and clinicians, allowing trials to be smarter, safer, and faster. Third, RCTs could be considerably more responsive and efficient if they were better integrated with electronic health records. However, this advance first requires greater adoption of standards and processes designed to ensure health data are adequately reliable and accurate and capable of being transferred responsibly and efficiently across platforms and organizations. Fourth, tackling the problems described above requires alignment of stakeholders in the clinical trials and health care delivery enterprises through financial and nonfinancial incentives, which could be enabled by new legislation. Solutions exist for each of these problems, and there are examples of success for each, but there is a failure to implement at adequate scale. Conclusions and Relevance The gulf between current care and that which could be delivered has arguably never been wider. A key contributor is that the 2 limbs of knowledge generation and implementation-the clinical trials and health care delivery enterprises-operate as a house divided. Better integration of these 2 worlds is key to accelerated improvement in health care delivery.
引用
收藏
页码:153 / 162
页数:10
相关论文
共 83 条
[1]   Adaptive platform trials: definition, design, conduct and reporting considerations The Adaptive Platform Trials Coalition [J].
Angus, Derek C. ;
Alexander, Brian M. ;
Berry, Scott ;
Buxton, Meredith ;
Lewis, Roger ;
Paoloni, Melissa ;
Webb, Steven A. R. ;
Arnold, Steven ;
Barker, Anna ;
Berry, Donald A. ;
Bonten, Marc J. M. ;
Brophy, Mary ;
Butler, Christopher ;
Cloughesy, Timothy F. ;
Derde, Lennie P. G. ;
Esserman, Laura J. ;
Ferguson, Ryan ;
Fiore, Louis ;
Gaffey, Sarah C. ;
Gaziano, J. Michael ;
Giusti, Kathy ;
Goossens, Herman ;
Heritier, Stephane ;
Hyman, Bradley ;
Krams, Michael ;
Larholt, Kay ;
LaVange, Lisa M. ;
Lavori, Philip ;
Lo, Andrew W. ;
London, Alex John ;
Manax, Victoria ;
McArthur, Colin ;
O'Neill, Genevieve ;
Parmigiani, Giovanni ;
Perlmutter, Jane ;
Petzold, Elizabeth A. ;
Ritchie, Craig ;
Rowan, Kathryn M. ;
Seymour, Christopher W. ;
Shapiro, Nathan, I ;
Simeone, Diane M. ;
Smith, Bradley ;
Spellberg, Bradley ;
Stern, Ariel Dora ;
Trippa, Lorenzo ;
Trusheim, Mark ;
Viele, Kert ;
Wen, Patrick Y. ;
Woodcock, Janet .
NATURE REVIEWS DRUG DISCOVERY, 2019, 18 (10) :797-807
[2]   Your Mileage May Vary Toward Personalized Oxygen Supplementation [J].
Angus, Derek C. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2024, 331 (14) :1179-1180
[3]   Heterogeneity of Treatment Effect Estimating How the Effects of Interventions Vary Across Individuals [J].
Angus, Derek C. ;
Chang, Chung-Chou H. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2021, 326 (22) :2312-2313
[4]   Emerging Lessons From COVID-19 for the US Clinical Research Enterprise [J].
Angus, Derek C. ;
Gordon, Anthony C. ;
Bauchner, Howard .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2021, 325 (12) :1159-1161
[5]   The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study Rationale and Design [J].
Angus, Derek C. ;
Berry, Scott ;
Lewis, Roger J. ;
Al-Beidh, Farah ;
Arabi, Yaseen ;
van Bentum-Puijk, Wilma ;
Bhimani, Zahra ;
Bonten, Marc ;
Broglio, Kristine ;
Brunkhorst, Frank ;
Cheng, Allen C. ;
Chiche, Jean-Daniel ;
De Jong, Menno ;
Detry, Michelle ;
Goossens, Herman ;
Gordon, Anthony ;
Green, Cameron ;
Higgins, Alisa M. ;
Hullegie, Sebastiaan J. ;
Kruger, Peter ;
Lamontagne, Francois ;
Litton, Edward ;
Marshall, John ;
McGlothlin, Anna ;
McGuinness, Shay ;
Mouncey, Paul ;
Murthy, Srinivas ;
Nichol, Alistair ;
O'Neill, Genevieve K. ;
Parke, Rachael ;
Parker, Jane ;
Rohde, Gernot ;
Rowan, Kathryn ;
Turner, Anne ;
Young, Paul ;
Derde, Lennie ;
McArthur, Colin ;
Webb, Steven A. .
ANNALS OF THE AMERICAN THORACIC SOCIETY, 2020, 17 (07) :879-891
[6]   Fusing Randomized Trials With Big Data The Key to Self-learning Health Care Systems? [J].
Angus, Derek C. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2015, 314 (08) :767-768
[7]  
[Anonymous], 1978, BELM REP ETH PRINC G
[8]  
[Anonymous], 2016, HealthIT.gov
[9]  
[Anonymous], US PREVENTIVE SERVIC
[10]  
[Anonymous], 2023, COMMERCIAL CLIN TRIA