Evidence map›Paper›PMID 38550399›Full record

ArticleAmerican heart journal plus : cardiology research and practice2021

Remote monitoring for heart failure: Assessing the risks of readmission and mortality.

Amber E Johnson, Andrew L Bilderback, Michael Boninger, Kathryn Y Beatty, Johanna Bellon, Meagan C Leopold, Andrew R Watson, Ravi N Ramani

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Remote monitoring of heart failure patients: To change by observation.American heart journal plus : cardiology research and practice · 2021
    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

8 authors.

Amber E JohnsonDivision of Cardiology, Department of Medicine, UPMC Heart and Vascular Institute, University of Pittsburgh, Pittsburgh, PA, United States.
Andrew L BilderbackWolfe Center, UPMC, Pittsburgh, PA, United States.
Michael BoningerWolfe Center, UPMC, Pittsburgh, PA, United States.
Kathryn Y BeattyInnovative Homecare Solutions, UPMC, Pittsburgh, PA, United States.
Johanna BellonWolfe Center, UPMC, Pittsburgh, PA, United States.
Meagan C LeopoldCommunity Provider Services, UPMC, Pittsburgh, PA, United States.
Andrew R WatsonClinical Analytics Department, UPMC, Pittsburgh, PA, United States.
Ravi N RamaniDivision of Cardiology, Department of Medicine, UPMC Heart and Vascular Institute, University of Pittsburgh, Pittsburgh, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study objective: Remote monitoring (RM) can help patients with heart failure (HF) remain free of hospitalization. Our objective was to implement a patient-centered RM program that ensured timely clinical response, which would be associated with reduced mortality. Design: This was a retrospective, observational, propensity-matched study. Setting: A large regional health system between 9/1/2016-1/31/2018. Participants: Patients admitted with acute HF exacerbation were matched on key variables. Up to two comparison patients were selected for each RM user. Interventions: We used an algorithmic approach to assess daily physiologic data, assess symptoms, provide patient education, encourage patient self-management, and triage medical problems. Main outcome measures: We assessed all-cause mortality using Kaplan-Meier and log rank analysis. We used Cox proportional hazards to compare risk of death. Results: Our cohort of 680 RM users and 1198 comparisons were similar across baseline characteristics except age (74.7 years versus 76.6 years, Conclusions: RM that responds to biometric data and encourages patient self-management can be used in a large hospital system and is associated with decreased all-cause mortality. Our findings underscore RM technology as a method to improve HF care.

Indexed as

Heart failureHospitalizationPhysiologic monitoring

Identifiers

PMID38550399
PMCPMC10978114

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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.