Evidence map›Paper›PMID 29850807›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Evaluating utility and compliance in a patient-based eHealth study using continuous-time heart rate and activity trackers.

William Speier, Eldin Dzubur, Mary Zide, Chrisandra Shufelt, Sandy Joung, Jennifer E Van Eyk, C Noel Bairey Merz, Mayra Lopez, Brennan Spiegel, Corey Arnold

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
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  9. Moth-Flame Optimization for Early Prediction of Heart Diseases.Computational and mathematical methods in medicine · 2022
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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

10 authors.

William SpeierMedical Imaging and Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.
Eldin DzuburCenter for Outcomes Research and Education, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Mary ZideMedical Imaging and Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.
Chrisandra ShufeltBarbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA.
Sandy JoungBarbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA.
Jennifer E Van EykBarbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA.
C Noel Bairey MerzBarbra Streisand Women's Heart Center, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA.
Mayra LopezCenter for Outcomes Research and Education, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Brennan SpiegelCenter for Outcomes Research and Education, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Corey ArnoldMedical Imaging and Informatics Group, Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
UCLA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR033176 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$15.5M
Atherosclerosis, Immune Mediated Inflammation and Hypoestrogenemia in Young WomenK23HL127262 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SHUFELT, CHRISANDRA LEE · 2016 to 2020
$988k
mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity TrackersR56HL135425 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, COREY WELLS · 2017 to 2017
$599k
NCATS NIH HHS UL1 TR000124NCRR NIH HHS UL1 RR033176NHLBI NIH HHS K23 HL127262NHLBI NIH HHS R56 HL135425
6 · The paper itself

Abstract

Telemedicine has been used to remotely diagnose and treat patients, yet previously applied telemonitoring approaches have been fraught with adherence issues. The primary goal of this study was to evaluate the adherence rates using a consumer-grade continuous-time heart rate and activity tracker in a mid-risk cardiovascular patient population. As a secondary analysis, we show the ability to utilize the information provided by this device to identify information about a patient's state by correlating tracker information with patient-reported outcome survey scores. We showed that using continuous-time activity trackers with heart rate monitors can be effective in a telemonitoring application, as patients had a high level of adherence (90.0% median usage) and low attrition (0.09% decrease per day) over a 90-day period. Furthermore, data collected correlated significantly with clinically relevant patient surveys (r2=0.15 for PROMIS global health scores, p < .00001), and therefore might provide an effective signal for identifying patients in need of intervention.

Indexed as

Fitness TrackersHeart RateTelemedicineAccelerometryExerciseHumansMonitoring, PhysiologicMyocardial IschemiaPatient CompliancePatient Reported Outcome MeasuresSelf Care

Identifiers

PMID29850807
PMCPMC6188512

What OpenQuestion holds

Textmetadata
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.