Literature DB >> 32095773

Advancing the Use of Mobile Technologies in Clinical Trials: Recommendations from the Clinical Trials Transformation Initiative.

Philip Coran1, Jennifer C Goldsack2,3, Cheryl A Grandinetti4, Jessie P Bakker5, Marisa Bolognese6, E Ray Dorsey7, Kaveeta Vasisht4, Adam Amdur8, Christopher Dell9, Jonathan Helfgott10, Matthew Kirchoff11, Christopher J Miller12, Ashish Narayan13, Dharmesh Patel14, Barry Peterson15, Ernesto Ramirez16, Drew Schiller17, Thomas Switzer18, Liz Wing19, Annemarie Forrest2, Aiden Doherty20,21.   

Abstract

Mobile technologies offer the potential to reduce the costs of conducting clinical trials by collecting high-quality information on health outcomes in real-world settings that are relevant to patients and clinicians. However, widespread use of mobile technologies in clinical trials has been impeded by their perceived challenges. To advance solutions to these challenges, the Clinical Trials Transformation Initiative (CTTI) has issued best practices and realistic approaches that clinical trial sponsors can now use. These include CTTI recommendations on technology selection; data collection, analysis, and interpretation; data management; protocol design and execution; and US Food and Drug Administration submission and inspection. The scientific principles underpinning the clinical trials enterprise continue to apply to studies using mobile technologies. These recommendations provide a framework for including mobile technologies in clinical trials that can lead to more efficient assessment of new therapies for patients.
Copyright © 2019 by S. Karger AG, Basel.

Entities:  

Keywords:  Clinical trials; Mobile technologies; Regulatory approval; Wearable sensors

Year:  2019        PMID: 32095773      PMCID: PMC7011727          DOI: 10.1159/000503957

Source DB:  PubMed          Journal:  Digit Biomark        ISSN: 2504-110X


  18 in total

1.  Clinical trials go virtual, big pharma dives in.

Authors:  Eric Smalley
Journal:  Nat Biotechnol       Date:  2018-07-06       Impact factor: 54.908

2.  The digitised clinical trial.

Authors:  Steven R Steinhubl; Patrick McGovern; Jesse Dylan; Eric J Topol
Journal:  Lancet       Date:  2017-11-09       Impact factor: 79.321

3.  Industry embraces virtual trial platforms.

Authors:  Elie Dolgin
Journal:  Nat Rev Drug Discov       Date:  2018-04-27       Impact factor: 84.694

4.  A new rating scale for Alzheimer's disease.

Authors:  W G Rosen; R C Mohs; K L Davis
Journal:  Am J Psychiatry       Date:  1984-11       Impact factor: 18.112

5.  Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials.

Authors:  Hiroko H Dodge; Jian Zhu; Nora C Mattek; Daniel Austin; Judith Kornfeld; Jeffrey A Kaye
Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

Review 6.  Digital technologies for cognitive assessment to accelerate drug development in Alzheimer's disease.

Authors:  C Leurent; M D Ehlers
Journal:  Clin Pharmacol Ther       Date:  2015-09-08       Impact factor: 6.875

Review 7.  The Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog): Modifications and Responsiveness in Pre-Dementia Populations. A Narrative Review.

Authors:  Jacqueline K Kueper; Mark Speechley; Manuel Montero-Odasso
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

Review 8.  Digital technologies as biomarkers, clinical outcomes assessment, and recruitment tools in Alzheimer's disease clinical trials.

Authors:  Michael Gold; Joan Amatniek; Maria C Carrillo; Jesse M Cedarbaum; James A Hendrix; Bradley B Miller; Julie M Robillard; J Jeremy Rice; Holly Soares; Maria B Tome; Ioannis Tarnanas; Gabriel Vargas; Lisa J Bain; Sara J Czaja
Journal:  Alzheimers Dement (N Y)       Date:  2018-05-24

Review 9.  Categorizing Health Outcomes and Efficacy of mHealth Apps for Persons With Cognitive Impairment: A Systematic Review.

Authors:  Daniel R Bateman; Bhavana Srinivas; Thomas W Emmett; Titus K Schleyer; Richard J Holden; Hugh C Hendrie; Christopher M Callahan
Journal:  J Med Internet Res       Date:  2017-08-30       Impact factor: 5.428

Review 10.  Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010-2016: A Systematic Literature Review.

Authors:  Brian Perry; Will Herrington; Jennifer C Goldsack; Cheryl A Grandinetti; Kaveeta P Vasisht; Martin J Landray; Lauren Bataille; Robert A DiCicco; Corey Bradley; Ashish Narayan; Elektra J Papadopoulos; Nirav Sheth; Ken Skodacek; Komathi Stem; Theresa V Strong; Marc K Walton; Amy Corneli
Journal:  Digit Biomark       Date:  2018-01-31
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  18 in total

Review 1.  A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach.

Authors:  Lynn Rochester; Claudia Mazzà; Arne Mueller; Brian Caulfield; Marie McCarthy; Clemens Becker; Ram Miller; Paolo Piraino; Marco Viceconti; Wilhelmus P Dartee; Judith Garcia-Aymerich; Aida A Aydemir; Beatrix Vereijken; Valdo Arnera; Nadir Ammour; Michael Jackson; Tilo Hache; Ronenn Roubenoff
Journal:  Digit Biomark       Date:  2020-11-26

2.  Evaluating the Use of Digital Biomarkers to Test Treatment Effects on Cognition and Movement in Patients with Lewy Body Dementia.

Authors:  Jian Wang; Chakib Battioui; Andrew McCarthy; Xiangnan Dang; Hui Zhang; Albert Man; Jasmine Zou; Jeffrey Kyle; Leanne Munsie; Melissa Pugh; Kevin Biglan
Journal:  J Parkinsons Dis       Date:  2022       Impact factor: 5.520

3.  Lessons learned in the Apple Heart Study and implications for the data management of future digital clinical trials.

Authors:  Ariadna Garcia; Vidhya Balasubramanian; Justin Lee; Rebecca Gardner; Santosh Gummidipundi; Grace Hung; Todd Ferris; Lauren Cheung; Christopher Granger; Peter Kowey; John Rumsfeld; Andrea Russo; Mellianie Ture Hills; Nisha Talati; Divya Nag; Jeffrey Stein; David Tsay; Sumbul Desai; Kenneth Mahaffey; Mintu Turakhia; Marco Perez; Haley Hedlin; Manisha Desai
Journal:  J Biopharm Stat       Date:  2022-06-12       Impact factor: 1.503

Review 4.  Considerations for Conducting Bring Your Own "Device" (BYOD) Clinical Studies.

Authors:  Charmaine Demanuele; Cynthia Lokker; Krishna Jhaveri; Pirinka Georgiev; Emre Sezgin; Cindy Geoghegan; Kelly H Zou; Elena Izmailova; Marie McCarthy
Journal:  Digit Biomark       Date:  2022-07-04

Review 5.  Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem.

Authors:  Andrea Parziale; Deborah Mascalzoni
Journal:  Front Psychiatry       Date:  2022-06-09       Impact factor: 5.435

6.  Digital Phenotyping in Clinical Neurology.

Authors:  Anoopum S Gupta
Journal:  Semin Neurol       Date:  2022-01-11       Impact factor: 3.212

7.  Utilizing graph machine learning within drug discovery and development.

Authors:  Thomas Gaudelet; Ben Day; Arian R Jamasb; Jyothish Soman; Cristian Regep; Gertrude Liu; Jeremy B R Hayter; Richard Vickers; Charles Roberts; Jian Tang; David Roblin; Tom L Blundell; Michael M Bronstein; Jake P Taylor-King
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

8.  Postdischarge Recovery after Acute Pediatric Lung Disease Can Be Quantified with Digital Biomarkers.

Authors:  Matthijs D Kruizinga; Allison Moll; Ahnjili Zhuparris; Dimitrios Ziagkos; Frederik E Stuurman; Marianne Nuijsink; Adam F Cohen; Gertjan J A Driessen
Journal:  Respiration       Date:  2021-05-18       Impact factor: 3.580

Review 9.  Wearable Devices: Current Status and Opportunities in Pain Assessment and Management.

Authors:  Andrew Leroux; Rachael Rzasa-Lynn; Ciprian Crainiceanu; Tushar Sharma
Journal:  Digit Biomark       Date:  2021-04-19

10.  Estimating sleep stages using cardiorespiratory signals: validation of a novel algorithm across a wide range of sleep-disordered breathing severity.

Authors:  Jessie P Bakker; Marco Ross; Ray Vasko; Andreas Cerny; Pedro Fonseca; Jeff Jasko; Edmund Shaw; David P White; Peter Anderer
Journal:  J Clin Sleep Med       Date:  2021-07-01       Impact factor: 4.324

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