Evidence map›Paper›PMID 37084933›Full record

ArticleAmerican heart journal2023

Physician responses to apple watch-detected irregular rhythm alerts.

Patrick C Demkowicz, Sanket S Dhruva, Erica S Spatz, Alexis L Beatty, Joseph S Ross, Rohan Khera

Abstract read
In one paragraph

Article in American heart journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Summertime for Cardiovascular AI.Circulation. Cardiovascular quality and outcomes · 2024
    Article
  6. [A wearable six-minute walk-based system to predict postoperative pulmonary complications after cardiac valve surgery: an exploratory study].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  7. 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

6 authors.

Patrick C DemkowiczSection of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Section of Cardiology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT.
Sanket S DhruvaDivision of Cardiology, Department of Medicine, University of California San Francisco (UCSF), San Francisco, CA.
Erica S SpatzSection of Cardiology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT.
Alexis L BeattyDivision of Cardiology, Department of Medicine, University of California San Francisco (UCSF), San Francisco, CA; Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA.
Joseph S RossSection of General Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT.
Rohan KheraSection of Cardiology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT; Center for Outcomes Research and Evaluation, Yale-New Haven Health System, New Haven, CT; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT. Electronic address: rohan.khera@yale.edu.

Funding

Yale Transdisciplinary Collaborative Center for Health Disparities Research (YALE-TCC)U54MD010711 · NIMHD · YALE UNIVERSITY · PI NUNEZ-SMITH, MARCELLA · 2016 to 2021
$14.4M
An Unobtrusive Continuous Cuff-less Blood Pressure Monitor for Nocturnal HypertensionR01HL151240 · NHLBI · TEXAS ENGINEERING EXPERIMENT STATION · PI JAFARI, ROOZBEH · 2020 to 2024
$3.5M
Understanding hospital value: provider, hospital and community effectsR01HS022882 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA · 2014 to 2023
$2.9M
Leveraging Physician Networks to Improve Care and Outcomes for Low-Income PopulationsR01HL144644 · NHLBI · YALE UNIVERSITY · PI NDUMELE, CHIMA · 2019 to 2021
$1.6M
Medical reversals: De-implementing ineffective and unsafe treatmentsR01HS025164 · AHRQ · UNIVERSITY OF MINNESOTA · PI KARACA-MANDIC, PINAR · 2017 to 2020
$1.4M
SCH: INT: A Context-aware Cuff-less Wearable Ambulatory Blood Pressure Monitor using a Bio-Impedance Sensor ArrayR01EB028106 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI JAFARI, ROOZBEH · 2018 to 2021
$1.2M
Evaluating and Improving Utilization of Evidence-Based Medical Therapy in Patients with Heart Failure using Automated Tools in the Electronic Health RecordK23HL153775 · NHLBI · YALE UNIVERSITY · PI KHERA, ROHAN · 2021 to 2025
$918k
AHRQ HHS R01 HS022882AHRQ HHS R01 HS025164FDA HHS U01 FD005938NHLBI NIH HHS K23 HL153775NHLBI NIH HHS R01 HL144644NHLBI NIH HHS R01 HL151240NIBIB NIH HHS R01 EB028106NIMHD NIH HHS U54 MD010711
6 · The paper itself

Abstract

backgroundWhile the US Food and Drug Administration (FDA) has cleared smartwatch software for detecting atrial fibrillation (AF), there is lack of guidance on management by physicians. We sought to evaluate the approach to management of Apple Watch alerts for AF by physicians and assess whether respondent and case characteristics were associated with their approach.

methodsWe conducted a case-based survey of physicians practicing primary care, emergency medicine, and cardiology at 2 large academic centers (Yale and University of California San Francisco) between September and December 2021. Cases described asymptomatic patients receiving Apple Watch AF alerts; cases varied in sex, race, medical history, and notification frequency. We evaluated physician responses among prespecified diagnostic testing, referral, and treatment options.

resultsWe emailed 636 physicians, of whom 95 (14.9%) completed the survey, including 39 primary care, 25 emergency medicine, and 31 cardiology physicians. Among a total of 192 cases (16 unique scenarios), physicians selected at least one diagnostic test in 191 (99.5%) cases and medications in 48 (25.0%). Physicians in primary care, emergency medicine, and cardiology reported varying preference for patient referral (14%, 30%, and 16%, respectively; P=.048), rhythm monitoring (84%, 46%, and 94%, respectively; P<.001), measurement of BNP (8%, 20%, and 2%; P=.003), and use of antiarrhythmics (16%, 4%, and 23%; P=.023). There were few physician differences in reported practices across patient demographics (sex and race), clinical complexity, and alert frequency of the clinical case.

conclusionsIn hypothetical cases of patients presenting without clinical symptoms, physicians opted for further diagnostic testing and often to medical intervention based on Apple Watch irregular rhythm notifications. There was also considerable variation across physician specialties, suggesting a need for uniform clinical practice guidelines. Additional study is required before irregular rhythm notifications should be used in clinical settings.

Indexed as

Atrial FibrillationCardiologyPhysiciansHumans

Identifiers

PMID37084933
PMCPMC10988207

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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.