Evidence map›Paper›PMID 30868756›Full record

ArticleESC heart failure2019

Designing meaningful outcome parameters using mobile technology: a new mobile application for telemonitoring of patients with heart failure.

Stefanie Maria Werhahn, Henning Dathe, Thorsten Rottmann, Thomas Franke, Dan Vahdat, Gerd Hasenfuß, Tim Seidler

Abstract read
In one paragraph

Article in ESC heart failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 6 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

36 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  4. Telemonitoring of Real-World Health Data in Cardiology: A Systematic Review.International journal of environmental research and public health · 2021
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  13. [Precision medicine enhances personalized medicine in cardiology].Innere Medizin (Heidelberg, Germany) · 2024
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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

7 authors.

Stefanie Maria WerhahnClinic for Cardiology and Pneumology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Henning DatheDepartment of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.
Thorsten RottmannDepartment of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.
Thomas FrankeDepartment of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.
Dan VahdatMedopad Ltd, London, UK.
Gerd HasenfußClinic for Cardiology and Pneumology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.
Tim SeidlerClinic for Cardiology and Pneumology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsHealth data captured by commercially available smart devices may represent meaningful patient-reported outcome measures (PROMs) in heart failure (HF) patients. The purpose of this study was to test this hypothesis by evaluating the feasibility of a new telemonitoring concept for patients following initial HF hospitalization. METHODS AND

resultsWe designed a cardio patient monitoring platform (CPMP) that comprised mobile iOS-based applications for patients' smartphone/smartwatch and the equivalent application on a physicians' tablet. It allowed for safe and continuous data transmission of self-measured physiological parameters, activity data, and patient-reported symptoms. In a prospective feasibility trial with 692 patient days from 10 patients hospitalized for newly diagnosed HF with reduced ejection fraction (mean left ventricular ejection fraction (LVEF) 26.5 ± 9.8%), we examined the CPMP during the first 2 months following discharge (69 ± 15 observation days per patient). The mean daily step count recorded by the mobile devices emerged as a promising new PROM. Its 14 day average increased over the study period (3612 ± 3311 steps/day at study inclusion and 7069 ± 5006 steps/day at end of study; P < 0.0001). It is unique for continuously reflecting real-life activity and correlated significantly with traditional surrogate parameters of cardiac performance including LVEF (r = 0.44; 95% CI 0.07-0.71; P = 0.0232), 6 min walk test (r = 0.67; 95% CI 0.38-0.84; P = 0.0002), and scores in health-related quality of life questionnaires.

conclusionsWe provide the first patient monitoring platform for HF patients that relies on commercially available iOS/watchOS-based devices. Our study suggests it is ready for implementation as a tool for recording meaningful PROMs in future HF trials and telemonitoring.

Indexed as

Heart FailureMobile ApplicationsAdultFeasibility StudiesFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryProspective StudiesQuality of LifeTelemedicineTreatment OutcomeWearable Electronic DevicesDaily step countHeart failureMobile applicationMobile healthPatient-reported outcome measureTelemonitoring

Identifiers

PMID30868756
PMCPMC6487706

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Registered trials

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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.