Evidence map›Paper›PMID 32734159›Full record

ArticleJAMIA open2020

Biomedical REAl-Time Health Evaluation (BREATHE): toward an mHealth informatics platform.

Alex A T Bui, Anahita Hosseini, Rose Rocchio, Nate Jacobs, Mindy K Ross, Sande Okelo, Fred Lurmann, Sandrah Eckel, Eldin Dzubur, Genevieve Dunton and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
6.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Feasibility and acceptability of home monitoring with portable spirometry in young adults with asthma.The Journal of asthma : official journal of the Association for the Care of Asthma · 2023
    Trial
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Prediction of Asthma Exacerbations in Children.Journal of personalized medicine · 2023
    Review
  12. Article
  13. Observational
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Alex A T BuiMedical and Imaging Informatics (MII) Group, Department of Radiological Sciences, UCLA, Los Angeles, California, USA.
Anahita HosseiniComputer Science Department, UCLA, Los Angeles, California, USA.
Rose RocchioMobilize Labs, UCLA, Los Angeles, California, USA.
Nate JacobsMobilize Labs, UCLA, Los Angeles, California, USA.
Mindy K RossDepartment of Pediatrics, UCLA, Los Angeles, California, USA.ORCID 0000-0001-7974-4309
Sande OkeloDepartment of Pediatrics, UCLA, Los Angeles, California, USA.
Fred LurmannSonoma Technologies, Inc., Petaluma, California, USA.
Sandrah EckelDepartment of Preventive Medicine, University of Southern California, Los Angeles, California, USA.
Eldin DzuburDepartment of Preventive Medicine, University of Southern California, Los Angeles, California, USA.
Genevieve DuntonDepartment of Preventive Medicine, University of Southern California, Los Angeles, California, USA.
Frank GillilandDepartment of Preventive Medicine, University of Southern California, Los Angeles, California, USA.
Majid SarrafzadehComputer Science Department, UCLA, Los Angeles, California, USA.
Rima HabreDepartment of Preventive Medicine, University of Southern California, Los Angeles, California, USA.
University of Southern California · USMobilize · USUCLA Health · USSonoma Technology (United States) · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
The Los Angeles PRISMS Center: The Biomedical REAl-Time Health Evaluation (BREATHE) PlatformU54EB022002 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX · 2015 to 2016
$6.1M
Pediatric Research using Integrated Sensor Monitoring Systems (PRISMS): Data and Software Coordination and Integration Center (DSCIC)U24EB021996 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AMBITE, JOSE LUIS, ECKEL, SANDRAH PROCTOR · 2015 to 2015
$5.2M
Monitoring Particulate, PAH, Allergen and Microbial Exposures in Asthmatic KidsU01EB021983 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CHILLRUD, STEVEN N., PERZANOWSKI, MATTHEW S · 2015 to 2018
$2.2M
A personal exposure and response monitoring system for pediatric asthma studyU01EB021980 · NIBIB · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI TAO, NONGJIAN · 2015 to 2018
$2.0M
NIBIB NIH HHS U01 EB021980NIBIB NIH HHS U01 EB021983NIBIB NIH HHS U24 EB021996NIBIB NIH HHS U54 EB022002NIEHS NIH HHS P30 ES007048
6 · The paper itself

Abstract

objectiveTo describe a configurable mobile health (mHealth) framework for integration of physiologic and environmental sensors to be used in studies focusing on the domain of pediatric asthma. MATERIALS AND

methodsThe Biomedical REAl-Time Health Evaluation (BREATHE) platform connects different sensors and data streams, contextualizing an individual's symptoms and daily activities over time to understand pediatric asthma's presentation and its management. A smartwatch/smartphone combination serves as a hub for personal/wearable sensing devices collecting data on health (eg, heart rate, spirometry, medications), motion, and personal exposures (eg, particulate matter, ozone); securely transmitting information to BREATHE's servers; and interacting with the user (eg, ecological momentary assessments). Server-side integration of electronic health record data and spatiotemporally correlated information (eg, weather, traffic) elaborates on these observations. An initial panel study involving pediatric asthma patients was conducted to assess BREATHE.

resultsTwenty subjects were enrolled, during which BREATHE accrued seven consecutive days of continuous data per individual. The data were used to confirm knowledge about asthma (use of controller inhalers, time-activity behaviors, personal air pollution exposure), and additional analyses provided insights into within-day associations of environmental triggers and asthma exacerbations. Exit surveys focusing on mHealth usability, while positive, noted several translational challenges. DISCUSSION: Based on these promising results, a longitudinal panel study to evaluate individual microenvironments and exposures is ongoing. Lessons learned thus far reflect the need to address various usability aspects, including convenience and ongoing engagement.

conclusionBREATHE enables multi-sensor mHealth studies, capturing new types of information alongside an evolving understanding of personal exposomes.

Indexed as

asthmaenvironmental healthmHealth/telemedicine

Identifiers

PMID32734159
PMCPMC7382637
OpenAlexW3023143415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.