Katie Baca-Motes

ORCID: 0000-0002-9156-7111
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About
Contact & Profiles
Research Areas
  • Atrial Fibrillation Management and Outcomes
  • COVID-19 epidemiological studies
  • COVID-19 Clinical Research Studies
  • COVID-19 diagnosis using AI
  • COVID-19 and Mental Health
  • Mobile Health and mHealth Applications
  • Social Media in Health Education
  • Telemedicine and Telehealth Implementation
  • ECG Monitoring and Analysis
  • Ethics in Clinical Research
  • Cardiac Arrhythmias and Treatments
  • Long-Term Effects of COVID-19
  • COVID-19 Digital Contact Tracing
  • SARS-CoV-2 detection and testing
  • SARS-CoV-2 and COVID-19 Research
  • Data-Driven Disease Surveillance
  • Health Policy Implementation Science
  • Digital Mental Health Interventions
  • Heart Rate Variability and Autonomic Control
  • Biomedical Ethics and Regulation
  • Data Quality and Management
  • Healthcare Systems and Public Health
  • Health and Medical Research Impacts
  • Mental Health Research Topics
  • Artificial Intelligence in Healthcare and Education

Scripps Research Institute
2017-2024

Torrey Pines Institute For Molecular Studies
2021-2022

Scripps Institution of Oceanography
2019-2022

Traditional screening for COVID-19 typically includes survey questions about symptoms and travel history, as well temperature measurements. Here, we explore whether personal sensor data collected over time may help identify subtle changes indicating an infection, such in patients with COVID-19. We have developed a smartphone app that collects smartwatch activity tracker data, self-reported diagnostic testing results, from individuals the United States, assessed symptom can differentiate...

10.1038/s41591-020-1123-x article EN other-oa Nature Medicine 2020-10-29

Opportunistic screening for atrial fibrillation (AF) is recommended, and improved methods of early identification could allow the initiation appropriate therapies to prevent adverse health outcomes associated with AF.To determine effect a self-applied wearable electrocardiogram (ECG) patch in detecting AF clinical consequences such detection strategy.A direct-to-participant randomized trial prospective matched observational cohort study were conducted among members large national plan....

10.1001/jama.2018.8102 article EN JAMA 2018-07-10
Andrea H. Ramirez Lina Sulieman David J. Schlueter Alese E. Halvorson Jun Qian and 95 more Francis Ratsimbazafy Roxana Loperena Kelsey Mayo Melissa Basford Nicole Deflaux Karthik Muthuraman Karthik Natarajan Abel Kho Hua Xu Consuelo H. Wilkins Hoda Anton‐Culver Eric Boerwinkle Mine Cicek Cheryl R. Clark Ellen G. Cohn Lucila Ohno‐Machado Sheri D. Schully Brian K. Ahmedani Maria Argos Robert M. Cronin Christopher J. O’Donnell Mona N. Fouad David B. Goldstein Philip Greenland Scott J. Hebbring Elizabeth W. Karlson Parinda Khatri Bruce R. Korf Jordan W. Smoller Stephen Sodeke John Wilbanks Justin Hentges Stephen Mockrin Chris Lunt Stephanie A. Devaney Kelly A. Gebo Joshua C. Denny Robert J. Carroll David Glazer Paul A. Harris George Hripcsak Anthony Philippakis Dan M. Roden Brian K. Ahmedani Christine D. Cole Johnson Ahsan Habib Donna Antoine‐LaVigne Glendora Singleton Hoda Anton‐Culver Eric J. Topol Katie Baca-Motes Steven R. Steinhubl James B. Wade Mark Begale Praduman Jain Scott Sutherland Beth A. Lewis Bruce R. Korf Melissa Behringer Ali G. Gharavi David B. Goldstein George Hripcsak Louise Bier Eric Boerwinkle Murray H. Brilliant Narayana S. Murali Scott J. Hebbring Dorothy Farrar‐Edwards Elizabeth S. Burnside Marc K. Drezner Amy E. Taylor Veena Channamsetty Wanda Montalvo Yashoda Sharma Carmen Chinea Nancy Piper Jenks Mine Cicek S. N. Thibodeau Beverly Holmes Eric Schlueter Ever Collier Joyce Winkler John Corcoran Nick D’Addezio Martha L. Daviglus Robert A. Winn Consuelo H. Wilkins Dan M. Roden Joshua C. Denny Kim Doheny Debbie A. Nickerson Evan E. Eichler Gail P. Jarvik Gretchen Funk Anthony Philippakis

The

10.1016/j.patter.2022.100570 article EN cc-by-nc-nd Patterns 2022-08-01

Abstract Individual smartwatch or fitness band sensor data in the setting of COVID-19 has shown promise to identify symptomatic and pre-symptomatic infection need for hospitalization, correlations between peripheral temperature self-reported fever, an association changes heart-rate-variability infection. In our study, a total 38,911 individuals (61% female, 15% over 65) have been enrolled March 25, 2020 April 3, 2021, with 1118 reported testing positive 7032 negative by nasopharyngeal PCR...

10.1038/s41746-021-00533-1 article EN cc-by npj Digital Medicine 2021-12-08

Abstract The ability to identify who does or not experience the intended immune response following vaccination could be of great value in only managing global trajectory COVID-19 but also helping guide future vaccine development. Vaccine reactogenicity can potentially lead detectable physiologic changes, thus we postulated that detect an individual’s initial a by tracking changes relative their pre-vaccine baseline using consumer wearable devices. We explored this possibility smartphone...

10.1038/s41746-022-00591-z article EN cc-by npj Digital Medicine 2022-04-19

<sec> <title>BACKGROUND</title> Postpartum psychological distress, ranging from transient mood and anxiety disturbances to full-syndrome postpartum depression (PPD), is prevalent. Many individuals lack access evidence-based interventions due stigma insufficient provider availability. The treatment gap particularly pronounced among historically marginalized groups, including Black, Hispanic/Latina, low-income mothers, who face higher PPD prevalence systemic barriers care. Digital health offer...

10.2196/preprints.74083 preprint EN cc-by 2025-03-17

The advent of large databases, wearable technology, and novel communications methods has the potential to expand pool candidate research participants offer them flexibility convenience participating in remote research. However, reports their effectiveness are sparse. We assessed use various forms outreach within a nationwide randomized clinical trial being conducted entirely by means.Candidate at possibly higher risk for atrial fibrillation were identified means insurance claims database...

10.1016/j.conctc.2019.100318 article EN cc-by-nc-nd Contemporary Clinical Trials Communications 2019-01-07

Smartphones, smartwatches, linked wearables, and associated wellness apps have had rapid uptake. These tools become ever ‘smarter’ in sensing intimate aspects of our surroundings physiology over time, including activity, metabolites, electrical signals, blood pressure oxygenation. Proposed EU law stipulates the ‘involuntary donation’ depersonalized health data. There has been pushback against ever-increasing gathering sharing data this context, increasing with every app purchased or updated....

10.1038/s41746-024-01004-z article EN cc-by npj Digital Medicine 2024-02-12

Electronic health record (EHR) technology has become a central digital tool throughout care. EHR systems are responsible for growing number of vital functions hospitals and providers. More recently, patient-facing tools allowing patients to interact with their connect external sources data, such as wearable fitness trackers, personal genomics, outside services, it. As more engaged EHR, the volume variety information will serve an increasingly useful role in care research. Particularly due...

10.2196/39145 article EN cc-by JMIR Medical Informatics 2022-06-21

Traditional viral illness surveillance relies on in-person clinical or laboratory data, paper-based data collection, and outdated technology for transfer aggregation. We aimed to assess whether continuous sensor can provide an early warning signal COVID-19 activity as individual physiological behavioural changes might precede symptom onset, care seeking, diagnostic testing.This multivariable, population-based, modelling study recruited adult (aged ≥18 years) participants living in the USA...

10.1016/s2589-7500(22)00156-x article EN cc-by The Lancet Digital Health 2022-09-22

Background Atrial fibrillation (AF) is common, often without symptoms, and an independent risk factor for mortality, stroke heart failure. It unknown if screening asymptomatic individuals AF can improve clinical outcomes. Methods mSToPS was a pragmatic, direct-to-participant trial that randomized from single US-wide health plan to either immediate or delayed using continuous-recording ECG patch be worn two weeks 2 occasions, ~3 months apart, potentially detect undiagnosed AF. The 3-year...

10.1371/journal.pone.0258276 article EN cc-by PLoS ONE 2021-10-05

Two mRNA vaccines and one adenovirus-based vaccine against SARS CoV-2 are currently being distributed at scale in the United States. Objective evidence of a specific individual's physiologic response to that not routinely tracked but may offer insights into acute immune personal and/or characteristics associated with that. We explored this possibility using smartphone app-based research platform developed early pandemic enabled volunteers (38,911 individuals between 25 March 2020 4 April...

10.1101/2021.05.03.21256482 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2021-05-04

Abstract Many barriers to primary healthcare accessibility in the United States exist including an increased opportunity cost associated with seeking care. New models of delivery aimed at addressing these problems are emerging. The potential impact that on-demand care physician house calls services can have on accessibility, patient care, and satisfaction by both patients physicians is poorly characterized. We performed a retrospective observational analysis data from 13,849 who utilized...

10.1097/md.0000000000014671 article EN cc-by-nc Medicine 2019-02-01

Screening for asymptomatic, undiagnosed atrial fibrillation (AF) has the potential to allow earlier treatment, possibly resulting in prevention of strokes, but also increase medical resource utilization.

10.1016/j.hroo.2020.09.005 article EN cc-by-nc-nd Heart Rhythm O2 2020-10-08

Background: Decentralized clinical trials using direct-to-participant recruitment can potentially engage large, representative participant pools. Research Question: Can a decentralized trial use multichannel approach to recruit patients &gt;65 years old across the United States? Goals/Aims: To share insights on strategies for in decentralized, app-based Heartline study. Methods: is randomized testing impact of mobile heart health program with electrocardiogram (ECG) and Irregular Rhythm...

10.1161/circ.150.suppl_1.4143017 article EN Circulation 2024-11-12

ABSTRACT Traditional screening for COVID-19 typically includes survey questions about symptoms, travel history, and sometimes temperature measurements. We explored whether longitudinal, personal sensor data can help identify subtle changes which may indicate an infection, such as COVID-19. To do this we developed app that collects smartwatch activity tracker data, well self-reported symptoms diagnostic testing results from participants living in the US. assessed could differentiate positive...

10.1101/2020.07.06.20141333 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-07-07

Background: Digital health technologies can potentially streamline clinical research and reach broad diverse populations, yet they often fall short to achieve long-term participant engagement. Research Question: Can engagement in a large, direct-to-participant randomized trial using an entirely decentralized platform be achieved? Methods: Heartline (www.heartline.com) was designed test the impact of mobile app-based heart program with electrocardiogram (ECG) Irregular Rhythm Notification...

10.1161/circ.148.suppl_1.15144 article EN Circulation 2023-11-07

<sec> <title>UNSTRUCTURED</title> Electronic health record (EHR) technology has become a central digital tool throughout care. EHR systems are responsible for growing number of vital functions hospitals and providers. More recently, patient-facing tools allowing patients to interact with their connect external sources data, such as wearable fitness trackers, personal genomics, outside services, it. As more engaged EHR, the volume variety information will serve an increasingly useful role in...

10.2196/preprints.39145 preprint EN 2022-05-02
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