Feasibility of a Platform Trial Design for the Development of Mobile Health Applications: A Review

被引:2
作者
Aqib, Asma [1 ,2 ]
Lebouche, Bertrand [1 ,3 ,4 ]
Engler, Kim [3 ,6 ]
Schuster, Tibor [1 ,5 ]
机构
[1] McGill Univ, Fac Med & Hlth Sci, Dept Family Med, Montreal, PQ, Canada
[2] Univ Alabama, Dept Internal Med, Montgomery, AL USA
[3] McGill Univ Hlth Ctr, Ctr Outcomes Res & Evaluat, Res Inst, Montreal, PQ, Canada
[4] McGill Univ, Royal Victoria Hosp, Chron Viral Illness Serv, Hlth Ctr, Montreal, PQ, Canada
[5] McGill Univ, Fac Med & Hlth Sci, Dept Family Med, 5858 Ch Cote des Neiges, Montreal, PQ H3S 1Z1, Canada
[6] McGill Univ Hlth Ctr, Ctr Outcomes Res & Evaluat, Res Inst, Hlth Ctr, Montreal, PQ H4A 3S5, Canada
关键词
platform trials; adaptive randomization; multiarm multistage design; adaptive trials; mobile applications; bias; telemedicine; telehealth; m-health; DATA MONITORING COMMITTEES; CLINICAL-TRIALS; ETHICAL CONSIDERATIONS; MASTER PROTOCOLS; MENTAL-HEALTH; TECHNOLOGY; FRAMEWORK; STRATEGY; ISSUES;
D O I
10.1089/tmj.2021.0620
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: A novel adaptive trial design called platform trials (PTs) may offer an effective, efficient, and unbiased approach to evaluate different developer versions of mobile health (m-health) apps. However, the feasibility of their use for this purpose is yet to be explored. Objective: This literature review aims to explore the reported challenges associated with the adaptive PT design to assess its feasibility for the development of m-health apps. Methods: A descriptive literature review using two databases (MEDLINE and Embase) was conducted. Documents published in English between 1947 and September 20, 2020, were eligible for inclusion. Results: The titles and abstracts of 758 records were screened after which 179 full-text articles were assessed for eligibility. A total of 41 articles were included in the synthesis, all published after the year 2000. The synthesis yielded eight distinct categories of challenging issues with PTs relevant to their application in m-health app development, along with potential solutions. These categories are ethical issues (e.g., related to informed consent, equipoise, justice) (with 19 articles contributing content), biases (7 articles), temporal drift (4 articles), miscellaneous statistical issues (3 articles), logistical issues (e.g., cost and human resources, frequent amendments; 6 articles), sample size and power conflict (2 articles), generalizability of the results (2 articles), and operational challenges (1 article). Conclusion: Although PT designs are relatively new, they have promising feasibility for the seamless evaluation of interventions that undergo continuous development, including m-health apps; however, various challenges may hinder their successful implementation.
引用
收藏
页码:501 / 509
页数:9
相关论文
共 69 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]   An Empirical Study of Investigating Mobile Applications Development Challenges [J].
Ahmad, Arshad ;
Li, Kan ;
Feng, Chong ;
Asim, Syed Mohammad ;
Yousif, Abdallah ;
Ge, Shi .
IEEE ACCESS, 2018, 6 :17711-17728
[3]  
[Anonymous], 11 surprising mobile health statistics
[4]  
Bajpai R, 2017, TRIALS, V18
[5]   Bayesian clinical trials [J].
Berry, DA .
NATURE REVIEWS DRUG DISCOVERY, 2006, 5 (01) :27-36
[6]   The Platform Trial An Efficient Strategy for Evaluating Multiple Treatments [J].
Berry, Scott M. ;
Connor, Jason T. ;
Lewis, Roger J. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2015, 313 (16) :1619-1620
[7]   Recommendations for data monitoring committees from the Clinical Trials Transformation Initiative [J].
Calis, Karim A. ;
Archdeacon, Patrick ;
Bain, Raymond ;
DeMets, David ;
Donohue, Miriam ;
Elzarrad, M. Khair ;
Forrest, Annemarie ;
McEachern, John ;
Pencina, Michael J. ;
Perlmutter, Jane ;
Lewis, Roger J. .
CLINICAL TRIALS, 2017, 14 (04) :342-348
[8]   Towards a Framework for Evaluating Mobile Mental Health Apps [J].
Chan, Steven ;
Torous, John ;
Hinton, Ladson ;
Yellowlees, Peter .
TELEMEDICINE AND E-HEALTH, 2015, 21 (12) :1038-1041
[9]   Dynamic Software Updating Using a Relaxed Consistency Model [J].
Chen, Haibo ;
Yu, Jie ;
Hang, Chengqun ;
Zang, Binyu ;
Yew, Pen-Chung .
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2011, 37 (05) :679-694
[10]   ON THE INDEPENDENCE OF DATA MONITORING COMMITTEE IN ADAPTIVE DESIGN CLINICAL TRIALS [J].
Chow, Shein-Chung ;
Corey, Ralph ;
Lin, Min .
JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2012, 22 (04) :853-867