Evidence map›Paper›PMID 42105038›Full record

ArticleJournal of medical systems2026

Feasibility, Adherence, Acceptance and Usability of a Multimodal Telemonitoring for Pediatric Post-COVID Syndrome: A Bicentric Pilot Study.

Zoe S Oftring, Jeremy Schmidt, Julia Greenfield, Matthias Hägele, Armin Farzaneh, Eckard Hamelmann, Uta Behrends, Sebastian Kuhn

Abstract readMulticenter Study
In one paragraph

Article in Journal of medical systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Zoe S Oftring *Institute for Digital Medicine, Philipps University Marburg and University Clinic Giessen & Marburg, Marburg, 35042, Germany. zoe.oftring@uni-marburg.de.ORCID http://orcid.org/0000-0001-5473-2141
Jeremy Schmidt *Department of Pediatrics, University Hospital OWL, Evangelisches Klinikum Bethel, University Bielefeld, Bielefeld, Germany.ORCID http://orcid.org/0000-0002-3816-7194
Julia GreenfieldInstitute for Digital Medicine, Philipps University Marburg and University Clinic Giessen & Marburg, Marburg, 35042, Germany.ORCID http://orcid.org/0000-0002-2750-0393
Matthias HägeleChildren's Hospital, TUM School of Medicine, MRI Chronic Fatigue Center for Young People (MCFC), Technical University of Munich and Munich Municipal Hospital Schwabing, Munich, Germany.ORCID http://orcid.org/0000-0002-5486-0167
Armin FarzanehDepartment of Pediatrics, University Hospital OWL, Evangelisches Klinikum Bethel, University Bielefeld, Bielefeld, Germany.ORCID http://orcid.org/0009-0004-0718-9210
Eckard HamelmannDepartment of Pediatrics, University Hospital OWL, Evangelisches Klinikum Bethel, University Bielefeld, Bielefeld, Germany.ORCID http://orcid.org/0000-0002-2996-8248
Uta BehrendsChildren's Hospital, TUM School of Medicine, MRI Chronic Fatigue Center for Young People (MCFC), Technical University of Munich and Munich Municipal Hospital Schwabing, Munich, Germany.ORCID http://orcid.org/0000-0002-8693-4386
Sebastian KuhnInstitute for Digital Medicine, Philipps University Marburg and University Clinic Giessen & Marburg, Marburg, 35042, Germany.ORCID http://orcid.org/0000-0002-8031-2973

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing healthcare infrastructure struggles to meet the complex care required for pediatric Post-COVID Syndrome (pPCS). Telemonitoring offers potential to enhance care access, reduce patient burden, and ensure continuity. This study introduces and evaluates a novel, multimodal telemonitoring concept for pPCS with high translational potential for broader pediatric chronic and post-infectious conditions. Telemonitoring included a patient app, digital sensors (spirometer, smartwatch), Patient Reported Outcome Measures, chat/video consultations (VC), and a medical telemonitoring platform. Patients aged 12-17 years with diagnosed PCS were recruited from two pPCS outpatient university clinics in Bielefeld and Munich, Germany. Monitoring lasted three months. Evaluation focused on feasibility, adherence, acceptance, and usability, using monitoring data, the System Usability Scale (SUS), Technology Usage Inventory (TUI), and a custom survey completed by patients and parents. 30 patients (mean age: 15y ± 1.9; 57% female (17/30); mean Baseline Bell-Score: 36.4) and 30 parents participated. Adherence was high, with an average of 3.4 (smartwatch) to 4.6 (spirometry) measurements/week. Questionnaire response rate was 86% (411/480) and 97% (58/60) of VCs were conducted. SUS scores indicated very high usability (patients: 81.25/100; parents: 75.42/100). TUI results showed low skepticism, and high interest. Telemonitoring supported symptom management independent of in-person visits, despite sensor connectivity issues. This is the first study to demonstrate successful integration of telemonitoring in pPCS, with high adherence and positive feedback from all stakeholders supporting its potential. Despite occasional technical challenges and resource needs, this concept shows promise for broader hybrid telemonitoring care implementation in PCS and other post-infectious syndromes.

trial registrationGerman Clinical Trials Register (DRKS), trial registration number: DRKS00029354. Registered 07 February 2023 - Retrospectively registered https://drks.de/search/en/trial/DRKS00029354/entails.

Indexed as

COVID-19Patient ComplianceTelemedicineAdolescentChildFeasibility StudiesFemaleGermanyHumansMalePilot ProjectsPost-Acute COVID-19 SyndromeRemote Patient MonitoringDigital MedicineMHealthPediatricsPost-COVID SyndromeTelemonitoringWearables

Identifiers

PMID42105038
PMCPMC13157441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.