Evidence map›Paper›PMID 39365164›Full record

Trial reportJMIR mHealth and uHealth2024

A Remote Patient Monitoring System With Feedback Mechanisms Using a Smartwatch: Concept, Implementation, and Evaluation Based on the activeDCM Randomized Controlled Trial.

Reto Wettstein, Farbod Sedaghat-Hamedani, Oliver Heinze, Ali Amr, Christoph Reich, Theresa Betz, Elham Kayvanpour, Angela Merzweiler, Christopher Büsch, Isabell Mohr and 4 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07375251 (TELEMACO-S), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT07375251 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

TELEMACO-S: a Telemonitoring Project in Cardiology and Technology Transfer Using Telemedicine

TypeobservationalSponsorValentina MicheluzziRan2025 to 2026Enrolled250ConditionsHeart Failure Patients
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
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

14 authors.

Reto WettsteinInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-3612-8658
Farbod Sedaghat-HamedaniInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-3266-0527
Oliver HeinzeRheinMain University of Applied Sciences, Wiesbaden, Germany.ORCID 0000-0002-6294-941X
Ali AmrInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-2615-4089
Christoph ReichInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-2683-1369
Theresa BetzInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-5534-9259
Elham KayvanpourInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-7285-2825
Angela MerzweilerInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-5895-7751
Christopher BüschInstitute of Medical Biometry, Heidelberg University, Heidelberg, Germany.ORCID 0000-0003-2664-7147
Isabell MohrInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0009-0000-6926-7342
Birgit Friedmann-BetteDepartment of Sports Medicine, Medical Clinic, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-2198-4083
Norbert FreyInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-7611-378X
Martin DugasInstitute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-9740-0788
Benjamin MederInstitute for Cardiomyopathies Heidelberg, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-0741-2633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnological advances allow for recording and sharing health-related data in a patient-centric way using smartphones and wearables. Secure sharing of such patient-generated data with physicians would enable close management of individual health trajectories, monitoring of risk factors, and asynchronous feedback. However, most remote patient monitoring (RPM) systems currently available are not fully integrated into hospital IT systems or lack a patient-centric design.

objectiveThe objective of this study was to conceptualize and implement a user-friendly, reusable, interoperable, and secure RPM system incorporating asynchronous feedback mechanisms using a broadly available consumer wearable (Apple Watch). In addition, this study sought to evaluate factors influencing patient acceptance of such systems.

methodsThe RPM system requirements were established through focus group sessions. Subsequently, a system concept was designed and implemented using an iterative approach ensuring technical feasibility from the beginning. To assess clinical feasibility, the system was used as part of the activeDCM prospective randomized interventional study focusing on dilated cardiomyopathy. Each patient used the system for at least 12 months. The System Usability Scale was used to measure usability from a subjective patient perspective. In addition, an evaluation was conducted on the objective wearable interaction frequency as well as the completeness of transmitted data classified into sensor-based health data (SHD) and patient-reported outcome measures (PROMs). Descriptive statistics using box plots and bootstrapped multiple linear regression with 95% CIs were used for evaluation analyzing the influence of age, sex, device experience, and intervention group membership.

resultsThe RPM system comprised 4 interoperable components: patient devices, a data server, a data viewer, and a notification service. The system was evaluated with 95 consecutive patients with dilated cardiomyopathy (28/95, 29% female; mean age 50, SD 12 y) who completed the activeDCM study protocol. The system's app achieved a mean System Usability Scale score of 78 (SD 17), which was most influenced by device experience. In total, 87% (83/95) of the patients could integrate the use of the app well or very well into their daily routine, and 71% (67/95) saw a benefit of the RPM system for management of their health condition. On average, patients interacted with the wearable on 61% (SD 26%) of days enrolled in the study. SHD were available on average for 78% (SD 23%) of days, and PROM data were available on 64% (SD 27%) of weeks enrolled in the study. Wearable interaction frequency, SHD, and PROM completeness were most influenced by intervention group membership.

conclusionsOur results mark a first step toward integrating RPM systems based on a consumer wearable device for primary patient input into standardized clinical workflows. They can serve as a blueprint for creating a user-friendly, reusable, interoperable, and secure RPM system that can be integrated into patients' daily routines.

Indexed as

Focus GroupsAdultAgedFeedbackFemaleHumansMaleMiddle AgedMobile ApplicationsMonitoring, PhysiologicProspective StudiesWearable Electronic Devicescardiologyconsumer devicedilated cardiomyopathyHealth Level 7 Fast Healthcare Interoperability Resourcesheart failureHL7 FHIRmobile healthmobile phoneremote patient monitoringtelemedicineusabilitywearable

Identifiers

PMID39365164
PMCPMC11624455

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.