Digitally Enabled, Patient‐Centric Clinical Trials: Shifting the Drug Development Paradigm

The rapidly advancing field of digital health technologies provides a great opportunity to radically transform the way clinical trials are conducted and to shift the clinical trial paradigm from a site-centric to a patient-centric model. Merck & Co., Inc.'s (Kenilworth, NJ, USA) digitally-enabled clinical trial initiative is focused on introduction of digital technologies into the clinical trial paradigm to reduce patient burden, improve drug adherence, provide a means of more closely engaging with the patient, and enable higher quality, faster, and more frequent data collection. This paper will describe the following four key areas of focus from Merck & Co., Inc.'s (Kenilworth, NJ, USA) digitally-enabled clinical trials initiative, along with corresponding enabling technologies: (1) use of technologies that can monitor and improve drug adherence (smart dosing), (2) collection of pharmacokinetic, pharmacodynamic, and biomarker samples in an outpatient setting (patient-centric sampling), (3) use of digital devices to collect and measure physiological and behavioral data (digital biomarkers), and (4) use of data platforms that integrate digital data streams, visualize data in real-time, and provide a means of greater patient engagement during the trial (digital platform). Furthermore, this paper will discuss the synergistic power in implementation of these approaches jointly within a trial to enable better understanding of adherence, safety, efficacy, pharmacokinetics, pharmacodynamics, and corresponding exposure-response relationships of investigational therapies as well as reduced patient burden for clinical trial participation. Obstacle and challenges to adoption and full realization of the vision of patient-centric, digitally-enabled trials will also be discussed.

[1]  K. Getz,et al.  Global Public Attitudes About Clinical Research and Patient Experiences With Clinical Trials , 2018, JAMA network open.

[2]  Laura Shafner,et al.  Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy , 2017, Stroke.

[3]  P Wilson,et al.  The feasibility of using ‘bring your own device’ (BYOD) technology for electronic data capture in multicentre medical audit and research , 2016, Anaesthesia.

[4]  P. Revill,et al.  Cost‐effectiveness of routine viral load monitoring in low‐ and middle‐income countries: a systematic review , 2017, Journal of the International AIDS Society.

[5]  Visar Berisha,et al.  Tracking discourse complexity preceding Alzheimer's disease diagnosis: a case study comparing the press conferences of Presidents Ronald Reagan and George Herbert Walker Bush. , 2015, Journal of Alzheimer's disease : JAD.

[6]  Tommi S. Jaakkola,et al.  Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture , 2017, ICML.

[7]  Jennifer C. Goldsack,et al.  Digital Medicine: A Primer on Measurement , 2019, Digital Biomarkers.

[8]  Oliver B. Regele,et al.  Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity , 2019, npj Digital Medicine.

[9]  T. Blaschke,et al.  A Systematic Evaluation of Effect of Adherence Patterns on the Sample Size and Power of a Clinical Study , 2018, CPT: pharmacometrics & systems pharmacology.

[10]  Charles R Doarn,et al.  Telemedicine and the COVID-19 Pandemic, Lessons for the Future. , 2020, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[11]  K. Yee,et al.  Pharmacokinetics, safety and tolerability of long‐acting parenteral intramuscular injection formulations of doravirine , 2020, Journal of clinical pharmacy and therapeutics.

[12]  Akshay S. Desai,et al.  Spironolactone Metabolites in TOPCAT - New Insights into Regional Variation. , 2017, The New England journal of medicine.

[13]  Earle E. Bain,et al.  Mitigating the Effects of Nonadherence in Clinical Trials , 2016, Journal of clinical pharmacology.

[14]  C. Cámara-Lemarroy,et al.  Gastrointestinal disorders associated with migraine: A comprehensive review , 2016, World journal of gastroenterology.

[15]  Vincenzo Natale,et al.  Actigraphic assessment of sleep/wake behavior in central disorders of hypersomnolence. , 2015, Sleep medicine.

[16]  K. Kowalski,et al.  Population PK Analyses of Ubrogepant (MK‐1602), a CGRP Receptor Antagonist: Enriching In‐Clinic Plasma PK Sampling With Outpatient Dried Blood Spot Sampling , 2018, Journal of clinical pharmacology.

[17]  Xiao Li,et al.  Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information , 2017, PLoS biology.

[18]  Suchi Saria,et al.  Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research. , 2019, Digital biomarkers.

[19]  W. Liao,et al.  Emerging Methods to Objectively Assess Pruritus in Atopic Dermatitis , 2019, Dermatology and Therapy.

[20]  N. Petry,et al.  Medication Nonadherence, “Professional Subjects,” and Apparent Placebo Responders: Overlapping Challenges for Medications Development , 2015, Journal of clinical psychopharmacology.

[21]  J. Kane Review of treatments that can ameliorate nonadherence in patients with schizophrenia. , 2006, The Journal of clinical psychiatry.

[22]  Samantha E. Boyle,et al.  Detection of ctDNA from Dried Blood Spots after DNA Size Selection. , 2020, Clinical chemistry.

[23]  Brinnae Bent,et al.  Investigating sources of inaccuracy in wearable optical heart rate sensors , 2020, npj Digital Medicine.

[24]  M. Roca,et al.  P.3.c.054 Results of a study on psychiatrists' perceptions of adherence to medication among patients with schizophrenia: the ADHES survey , 2007, European Neuropsychopharmacology.

[25]  K. Bateman,et al.  Extractability‐mediated stability bias and hematocrit impact: High extraction recovery is critical to feasibility of volumetric adsorptive microsampling (VAMS) in regulated bioanalysis , 2018, Journal of pharmaceutical and biomedical analysis.

[26]  Michael P. Morrissey,et al.  Use of Circulating Tumor DNA for Cancer Immunotherapy , 2019, Clinical Cancer Research.

[27]  S. Masand,et al.  Accelerating Adoption of Patient-Facing Technologies in Clinical Trials: A Pharmaceutical Industry Perspective on Opportunities and Challenges , 2019, Therapeutic innovation & regulatory science.

[28]  Rajan Merchant,et al.  Effectiveness of Population Health Management Using the Propeller Health Asthma Platform: A Randomized Clinical Trial. , 2016, The journal of allergy and clinical immunology. In practice.

[29]  Dawn L Hershman,et al.  Systematic Review and Meta-Analysis of the Magnitude of Structural, Clinical, and Physician and Patient Barriers to Cancer Clinical Trial Participation , 2019, Journal of the National Cancer Institute.

[30]  P. Kothare,et al.  Harnessing the Potential of Emerging Digital Health and Biological Sampling Technologies for Clinical Drug Development: Promise to Reality , 2018, Clinical pharmacology and therapeutics.

[31]  E. Topol,et al.  Comparison of 24-hour Holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring. , 2014, The American journal of medicine.

[32]  H. Zhang,et al.  Decomposition of complex movements into primitives for Parkinson's disease assessment , 2018, IBM J. Res. Dev..

[33]  P. Brandt,et al.  Religious beliefs in schizophrenia: their relevance for adherence to treatment. , 2007, Schizophrenia bulletin.

[34]  K. Bateman,et al.  Leveraging Digital Health Technologies and Outpatient Sampling in Clinical Drug Development: A Phase I Exploratory Study , 2018, Clinical pharmacology and therapeutics.

[35]  Dimitrios Athanasiou,et al.  European regulators’ views on a wearable-derived performance measurement of ambulation for Duchenne muscular dystrophy regulatory trials , 2019, Neuromuscular Disorders.

[36]  Michael J. Miller,et al.  Advancing the Science and Practice of Medication Adherence , 2018, Journal of General Internal Medicine.

[37]  T. Steiner,et al.  Noncompliance May Render Migraine Prophylaxis Useless, But Once-Daily Regimens Are Better , 1998, Cephalalgia : an international journal of headache.

[39]  A. Breckenridge,et al.  Poor medication adherence in clinical trials: consequences and solutions , 2017, Nature Reviews Drug Discovery.

[41]  J. Gold,et al.  Patients with schizophrenia demonstrate dissociation between affective experience and motivated behavior. , 2007, Journal of abnormal psychology.

[42]  James Y. Dai,et al.  Tenofovir-based preexposure prophylaxis for HIV infection among African women. , 2015, The New England journal of medicine.

[43]  T. Pearson,et al.  Multiplexed longitudinal measurement of protein biomarkers in DBS using an automated SISCAPA workflow. , 2016, Bioanalysis.

[44]  Max A. Little,et al.  Feasibility of large-scale deployment of multiple wearable sensors in Parkinson's disease , 2017, PloS one.

[45]  C. Chuang-Stein,et al.  Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia , 2017, JMIR mHealth and uHealth.

[46]  Dina Katabi,et al.  Passive Monitoring at Home: A Pilot Study in Parkinson Disease , 2019, Digital Biomarkers.

[47]  Max A. Little,et al.  Large-Scale Wearable Sensor Deployment in Parkinson’s Patients: The Parkinson@Home Study Protocol , 2016, JMIR research protocols.

[48]  Christine Pierre,et al.  Increasing Diversity in Clinical Trials: Overcoming Critical Barriers. , 2019, Current problems in cardiology.

[49]  N. Baker,et al.  Methods to reduce the incidence of false negative trial results in substance use treatment research. , 2019, Current opinion in psychology.

[50]  L. Kaye,et al.  Impact of a digital health intervention on asthma resource utilization , 2018, The World Allergy Organization journal.

[51]  K. Bateman,et al.  An Integrated Strategy for Implementation of Dried Blood Spots in Clinical Development Programs , 2016, The AAPS Journal.

[52]  R. Guthrie,et al.  A SIMPLE PHENYLALANINE METHOD FOR DETECTING PHENYLKETONURIA IN LARGE POPULATIONS OF NEWBORN INFANTS. , 1963, Pediatrics.

[53]  M. Zand,et al.  Application of volumetric absorptive microsampling (VAMS) to measure multidimensional anti-influenza IgG antibodies by the mPlex-Flu assay , 2019, Journal of Clinical and Translational Science.

[54]  Angela J. Massey,et al.  Addressing Nonadherence in the Schizophrenic Population , 2006 .

[55]  S. Shiffman,et al.  Patient compliance with paper and electronic diaries. , 2003, Controlled clinical trials.

[56]  Mark D. Lim,et al.  Dried Blood Spots for Global Health Diagnostics and Surveillance: Opportunities and Challenges , 2018, The American journal of tropical medicine and hygiene.

[57]  Erik Schultes,et al.  The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.

[58]  R. Railkar,et al.  “In‐House” Data on the Outside—A Mobile Health Approach , 2020, Clinical pharmacology and therapeutics.

[59]  Gloria M. Miele,et al.  Using e-technologies in clinical trials. , 2015, Contemporary clinical trials.

[60]  Elena S. Izmailova,et al.  Wearable Devices in Clinical Trials: Hype and Hypothesis , 2018, Clinical pharmacology and therapeutics.

[61]  Christophe Stove,et al.  Official International Association for Therapeutic Drug Monitoring and Toxicology guideline: Development and Validation of Dried Blood Spot-based Methods for Therapeutic Drug Monitoring. , 2019, Therapeutic drug monitoring.

[62]  Ellen K Silbergeld,et al.  State of the Science in Dried Blood Spots. , 2018, Clinical chemistry.

[63]  J. Urquhart,et al.  Adherence to medications: insights arising from studies on the unreliable link between prescribed and actual drug dosing histories. , 2012, Annual review of pharmacology and toxicology.

[64]  Sean Khozin,et al.  Developing and adopting safe and effective digital biomarkers to improve patient outcomes , 2019, npj Digital Medicine.

[65]  N. Spooner,et al.  Volumetric absorptive microsampling: a dried sample collection technique for quantitative bioanalysis. , 2014, Analytical chemistry.

[66]  B. Vrijens,et al.  How the EMERGE guideline on medication adherence can improve the quality of clinical trials , 2020, British journal of clinical pharmacology.