Vaccines & Infectious Disease
Increasing treatment rates with co-created patient engagement
Read this case study to learn how Evidation increased vaccination rates through customized messages and content.
Supporting whole person care: the power of longitudinal patient-provided real-world data
Read key takeaways from Evidation's webinar, "Using longitudinal RWD to boost activation along the patient journey," featuring speakers from Evidation, Veterans Affairs, and Myovant Sciences.
Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study
Victoria Hunter, Allison Shapiro, Devika Chawla, Faye Drawnel, Ernesto Ramirez, Elizabeth Phillips, Sara Tadesse-Bell, Luca Foschini, Vincent Ukachukwu
Evidation research aimed to characterize the burden of influenza-like illness using commercial wearable sensor data and investigate the extent to which these data correlate with self-reported illness severity and duration.
Machine Learning COVID-19 Detection from Wearables
Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg
Evidation research looks into which criteria must be met before a study can claim reasonable COVID-19 detection performance using data from wearable devices.
Using Longitudinal RWD to Boost Activation Along the Patient Journey
People now play a more active role in their own health—but too often don’t know about relevant care and resources.
American Life in Realtime: A Benchmark Registry of Health Data for Equitable Precision Health
Ritika R. Chaturvedi, Marco Angrisani, Wendy M. Troxel, Tania Gutsche, Eva Ortega, Monika Jain, Adrien Boch & Arie Kapteyn
ALiR, funded by a grant from the NIH, is a first-of-its-kind, publicly available benchmark registry and research infrastructure for person-generated health data collected from smartphones and wearables, made possible by Evidation.
Predictors of Seeking Care for Influenza-Like Illness in a Novel Digital Study
Devika Chawla, Alejandra Benitez, Hao Xu, Victoria Whitehill, Sara Tadesse-Bell, Allison Shapiro, Ernesto Ramirez, Kelly Scherer, Luca Foschini, Faye Drawnel, Barry Clinch, Marco Prunotto, Vincent Ukachukwu
Evidation conducted a study that used person-generated health data (PGHD) to identify factors associated with seeking care for ILI.
Evidation and Duke Big Ideas Lab Partner to Boost Participation and Increase Equity in Digital Health Research
Evidation and Duke Big Ideas Lab announce a partnership with the goal of increasing diversity and representation in digital health studies
Creating Competitive Advantage: Privacy and Security by Design in mHealth and Digital Health Products
Alea Garbagnati, Esq. and Lauren Wu, Esq.
Evidation's Head of Privacy looks at the increased need for cybersecurity and privacy protection amidst the boom in digital health advancements.
COVID-19 Real-World Evidence Primer
Amy Cavet; Claire Cravero, MPH; Aaron Galaznik, MD; Bray Patrick-Lake, MFS; Aniketh Talwai
Evidation contributed to this online resource consisting of seven chapters that cover types of RWD, methods in RWE generation, examples of RWE studies, and more.
Digital Intervention Increases Influenza Vaccination Rates for People with Diabetes in a Decentralized Randomized Trial
J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson
Annual influenza vaccination is recommended for people with diabetes, but vaccination rates are suboptimal. This Evidation study aimed to increase influenza vaccination rate in people with self-reported diabetes.
Influenza Surveillance Using Wearable Mobile Health Devices
Konty, K. J., Bradshaw, B., Ramirez, E., Lee, W.-N., Signorini, A., & Foschini, L.
Evidation research reveals the potential of mHealth devices to register illness.
Evidation Launches FluSmart, A Direct-to-Person Digital Flu Monitoring Program, To Better Understand Flu in Everyday Life
Evidation announces the launch of FluSmart, a direct-to-person digital flu monitoring program hosted on the Evidation platform.
Model-Twin Randomization (MoTR): A Monte Carlo Method for Estimating the Within-Individual Average Treatment Effect Using Wearable Sensors
Eric J. Daza, Logan Schneider
In this academic preprint, the model twin randomization (MoTR; "motor") method for analyzing possible causes and effects an individual's intensive longitudinal data is introduced.
Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: A Decentralized Randomized Clinical Trial
Nell J. Marshall, Jennifer L. Lee, Jessica Schroeder, Wei-Nchih Lee, Jermyn See, Mohammad Madjid, Mrudula R. Munagala, John D. Piette, Litjen Tan, Orly Vardeny, Michael Greenberg, Jan Liska, Monica Mercer, Sandrine Samson
Evidation research reveals that a personalized, evidence-based digital intervention could be effective in increasing vaccination rates in a population of high-risk people with cardiovascular disease.
Using Digital Health Technologies to Transform Community Health and Health Equity
Evidation responded to an RFI from the White House Office of Science and Technology Policy (OSTP) to provide input on how digital health tools can transform community health and health equity.
The Burden of Influenza on the US Older Population: A Real-World Health Outcomes Study
Evidation research reveals that health services usage, respiratory illnesses, and non-respiratory conditions among older adults increased in the period after influenza diagnosis.
Estimating the Burden of Influenza-like Illness on Daily Activity at the Population Scale Using Commercial Wearable Sensors
Aziz Mezlini, Allison Shapiro, Eric J. Daza, Eamon Caddigan, Ernesto Ramirez, Tim Althoff, Luca Foschini
Evidation research reveals that most of the burden of influenza-like illness is invisible to health care and public health reporting systems.
Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint
Ieuan Clay, Francesca Cormack, Szymon Fedor, Luca Foschini, Giovanni Gentile, Chris van Hoof, Priya Kumar, Florian Lipsmeier, Akane Sano, Benjamin Smarr, Benjamin Vandendriessche, Valeria De Luca
Evidation contributed to a summary of how multimodal technologies capable of measuring several modalities simultaneously provide value to stakeholders.
One Third of Medicare and Medicaid Beneficiaries Face Transportation Insecurity That Affects Access to Healthcare and Essential Medications
Evidation research reveals that beneficiaries missed doctors’ appointments or ran out of medicine because they could not access transportation.
NIH and Evidation Health Enter Phase II of Project to Study Early Warning Signs of COVID-19
Evidation and NIH announce they've entered Phase II of a study to identify early warning signs of COVID-19 using data from commercial wearable sensors.
Evidation, USC and Rand Awarded NIH R01 Research Project Grant to Develop a Representative Digital Health Dataset and Novel Data Science Methods
Evidation, USC, and RAND announce a partnership to create a nationally representative digital health dataset, dubbed American Life in Real-time (ALiR).
Evidation Health and BARDA Partner on Early Warning System for COVID-19
Evidation announces a new effort, funded by BARDA, to detect COVID-19 symptoms via an early warning algorithm.
Evidation Partners with Other Industry Leaders to Launch Resources to Drive Inclusion in Digital Health Measurement
Evidation and other members of the Digital Health Measurement Collaborative Community (DATAcc) announced a new set of open-access resources to guide inclusivity in digital health measurement products from development to deployment.
Next Generation Patient Engagement & Enriched Insights
Evidation has written a white paper that takes a closer look at the challenges of PGHD, its value to clinical decision makers, and how to contextualize it to optimize its value.
Evidation Study Shows Digital Intervention Increases Flu Vaccination Rates Among People With Diabetes
Evidation's study, published in npj Digital Medicine, shows people with diabetes who received digital content via Evidation’s mobile app platform were more likely to get vaccinated.
Translating PGHD into Measures that Matter
Evidation provides key highlights from its "Translating PGHD into Measures that Matter" webinar.
Evaluating the Accuracy of At-Home Rapid Diagnostic Test Kits for Influenza
Evidation shares findings on the accuracy of at-home influenza rapid diagnostic test kits.
Rapid Identification of High-Risk Participants in a COVID-19 Research Study: How Evidation Enables Precision Recruitment at Scale
Evidation shares a recent method development paper published as a preprint on MedRxiv demonstrating precision recruitment in the context of COVID-19.
Evidation + HealthVerity: The Holistic Patient Journey: Fusing Real-World Data with Person-Generated Health Data
Evidation, Pfizer, and HealthVerity discuss how to fuse real-world data (RWD) with person-generated health data (PGHD).
Evolution or Revolution: Translating PGHD into Measures that Matter
Evidation and industry leaders address how to translate patient-generated health data (PGHD) into meaningful measures in this webinar.
AI: Leveraging Wearables and Other Patient-Generated Data in Research
Evidation co-founder and chief data scientist, Luca Foschini, discusses how patient-generated health data (PGHD) and artificial intelligence (AI) are advancing clinical studies for biotech and pharmaceutical companies.
Effect of Different Financial Incentive Structures on Promoting Physical Activity Among Adults
Bachireddy C, Joung A, John LK, Gino F, Tuckfield B, Foschini L, Milkman KL
Evidation research reveals that financial incentives for physical activity are most effective when offered at a constant rate.
Quantifying the Impact of Influenza Among Persons With Type 2 Diabetes Mellitus: A New Approach to Determine Medical and Physical Activity Impact
Samson SI, Konty K, Lee WN, Quisel T, Foschini L, Kerr D, Liska J, Mills H, Hollingsworth R, Greenberg M, Beal AC
Evidation research reveals that influenza increases rates of pneumonia, heart disease, and abnormal glucose levels among people with type 2 diabetes mellitus.
Large-Scale Influenza Vaccination Promotion on a Mobile App Platform: A Randomized Controlled Trial
Lee WN, Stück D, Konti K, Rivers C, Brown CR, Zbikowski SM, Foschini L
Evidation research reveals that messages regarding influenza vaccinations were most effective the first time around; effectiveness decreased after each successive batch sent.
Machine Intelligence in Healthcare—Perspectives on Trustworthiness, Explainability, Usability, and Transparency
Cutillo CM, Sharma KR, Foschini L, Kundu S, Mackintosh M, Mandl, KD
Evidation research reveals that machine intelligence approaches have the potential to improve health through the facilitation of more efficient and effective provision of care.
Comparison of Study Samples Recruited With Virtual Versus Traditional Recruitment Methods
Heidi Moseson, Shefali Kumar, Jessie L. Juusola
Evidation research reveals that virtual recruitment may enhance efficiency and enable more individuals to participate in clinical research.
Development and Application of a Patient Group Engagement Prioritization Tool for Use in Medical Product Development
Perry B, Dombeck C, Smalley JB, Levitan B, Leventhal D, Patrick-Lake B, Brennan L, McKenna K, Hallinan Z, Corneli A
Evidation research reveals that engagement activities can enhance the quality and efficiency of clinical trials by improving patient recruitment and retention, reduce costs, and help trials meet expectations of regulators and payers.
Digital Measures That Matter to Patients: A Framework to Guide the Selection and Development of Digital Measures of Health
Manta C, Patrick-Lake B, Goldsack J.C.
Evidation synthesizes and defines a sequential framework of core principles for selecting and developing measurements in research and clinical care that are meaningful for patients.
Digital Intervention is Effective in Increasing Influenza Vaccination in People Living with Diabetes
Foschini L, Lee J.L., Buzzetti R, Clement M, Cos X, Ji L, Kanumilli N, Kerr D, Martinez L, Montanya E, Müller-Wieland D, Östenson C.-G, Skolnik N, Woo V, Samson S
Evidation research reveals that leveraging new technology to deliver knowledge and information can improve influenza vaccination rates in high-risk populations.
Reproducibility in Machine Learning for Health Research: Still a Ways to Go
McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M
Evidation research reveals that machine learning for health compared poorly to other areas regarding reproducibility metrics.
Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint
Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I
Evidation research details the steps of bringing a successful proof of concept to scale, focusing on key decisions in the development of a new digital measure.
Dear Watch, Should I Get a COVID-19 Test? Designing Deployable Machine Learning for Wearables
Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L
Evidation research reveals that using a wearable device can reduce the burden of symptom surveys by 35%.
Digital Endpoints Must Meet Patient Needs
Patrick-Lake B, Manta C, and Goldsack J
Technological advances are speeding the development of digital measures and endpoints throughout drug development and across therapeutic areas and patient populations. While regulators encourage stakeholders to pursue patient-centric approaches, few actionable guidances or standards exist.
It Takes a Village: Development of Digital Measures for Computer Scientists
Goldsack J.C and Clay I
Evidation research reveals a range of challenges and considerations where computer scientists can have a particular impact on the development of a new digital measure.
An Alternative to the ‘Light Touch’ Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Healthcare Workers Study
Goodday M.S, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Karlin D.R, Emami H, Woods N, Boch A, Foschini L, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E, and Friend S
Evidation research found evidence for feasibility and acceptability of a participant-centric digital health study approach that involved building trust with participants and providing support through regular phone check-ins.
Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices
Clay I, Angelopoulos C, Bailey A.L., Blocker A, Carini S, Carvajal R, Drummond D, McManus K.F., Oakley-Girvan I, Patel K.B., Szepietowski P, and Goldsack J.C.
Evidation research reveals that to achieve real impact on patient lives, sensor data needs to be integrated and contextualized with many other data types.
Flu@home: The Comparative Accuracy of an At-home Influenza Rapid Diagnostic Test, Using a Pre-positioned Test Kit, Mobile App, Mail-in Reference Sample, and Symptom-based Testing Trigger
Kotnik J, Cooper S, Smedinghoff S, Gade P, Scherer K, Maier M, Juusola J, Ramirez E, Naraghi-Arani P, Lyon V, Lutz B, Thompson M
Evidation research reveals that app-supported, pre-positioned at-home RDT kits using symptom-based triggers are effective in getting diagnostics into at-home settings.
RWD-Cockpit: Application for Quality Assessment of Real-World Data
Babrak L, Smakaj E, Agac T, Asprion P, Grimberg F, Van der Werf D, van Ginkel E, Tosoni D, Clay I, Degan M, Brodbeck D, Natali E, Schkommodau E, MIho E
Evidation research reveals that multiple datasets can be preliminary evaluated regarding quality using the proposed metrics implemented in the RWD-Cockpit app.
Advancing Digital Health Applications: Priorities for Innovation in Real-World Evidence Generation
Stern A, Brönneke J, Debatin J, Hagen J, Matthies H, Patel S, Clay I, Eskofier B, Herr A, Hoeller K, Jakas A, Kramer D, Kyhlstedt M, Lofgren K, Mahendraratnam N, Muehlan H, Reif S, Riedermann L, Goldsack J
The Digital Medicine Society and the Health Innovation Hub of the German Federal Ministry of Health convened a set of roundtable discussions to bring together international experts in evidence generation for digital medicine products.
Precision Recruitment for High-Risk Participants in a COVID-19 Cohort Study
Mezlini A, Caddigan E, Shapiro A, Ramirez E, Kondow-McConaghy H, Yang J, DeMarco K, Naraghi-Arani P, Foschini L
Evidation describes an approach for reducing recruiting time and resources in a COVID-19 study by targeting recruitment to high-risk individuals.
A Community Takes Action to Help Citizens Improve their Health by Harnessing Digital Technology
Evidation collaborates with Project TECH, a faith-based organization in South Carolina, to create a co-learning environment designed to help eliminate barriers to using digital technologies.
Making Equitable Health a Reality
Building an equitable and inclusive space in the healthcare ecosystem where everyone - research and health program participants, partners, and employees - can belong and feel valued is a foundational pillar of Evidation’s mission. National Minority Health Month provides an excellent opportunity for us to reflect on ways health and racial equity can be improved.
How Do We Make Patient Centricity a Reality?
For years, the subject of fostering direct connections with patients has been highlighted by notable figures across the healthcare and life sciences industries as a key feature to be explored in future strategies.
Rapid Home Tests Are Good, but Digital Health Technology Is Even Better at Fighting COVID-19
Jennifer M. Radin, Giorgio Quer, Luca Foschini
Technology companies and device manufacturers should coordinate with public health officials to introduce a new era of precision public health.
Digital Medicine Society, Evidation, and Industry Partners Launch Toolkit to Support Reimbursement for New Drugs Developed Using Digital Endpoints
Today, the Digital Medicine Society (DiMe), in partnership with Evidation, Anthem, Biogen, Eli Lilly, Janssen, Merck, Pfizer, and Savvy Co-op, announced the public launch of the 3Ps of Digital Endpoint Value (3Ps), a toolkit of resources created to facilitate the inclusion of digital endpoints as evidence for payers in reimbursement decisions for new drugs.
Evidation Extends Collaboration with Sanofi To Develop and Apply Real-World Evidence
Evidation announces its extension to collaborate with Sanofi in co-developing unique datasets to understand health in everyday life.
Digital Health Interventions Increase Flu Vaccinations in People with Diabetes
Lee J, Foschini L, Samson S, Skolnik N, and Kerr D
Evidation research reveals that digital interventions have great potential for reducing health inequities, if the barriers surrounding Internet connectivity and access to devices can be reduced.