Evidence map›Paper›PMID 40968369›Full record

ArticleBMC health services research2025

Feasibility, utility, usability and acceptance of a multimodal telemonitoring for COVID-19 patients in general practitioners practices in Germany: a mixed methods study with patients.

Zoe S Oftring, Kim Deutsch, Svea Holtz, Susanne M Köhler, Peter Jan Chabiera, Nurlan Dauletbaev, Lukas Niekrenz, Beate Sigrid Müller, Sebastian Kuhn

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Zoe S Oftring *Institute for Digital Medicine, Philipp's University Marburg and University Clinic Giessen & Marburg, Baldingerstrasse 1, 35043, Marburg, Germany.
Kim Deutsch *Institute of Educational Science, Johannes Gutenberg University, Mainz, Germany.
Svea HoltzInstitute of General Practice, University Clinic Frankfurt, Goethe University, Frankfurt am Main, Germany.
Susanne M KöhlerInstitute of General Practice, University Clinic Frankfurt, Goethe University, Frankfurt am Main, Germany.
Peter Jan ChabieraInstitute of General Practice, University Clinic Frankfurt, Goethe University, Frankfurt am Main, Germany.
Nurlan DauletbaevDepartment of Internal, Respiratory and Critical Care Medicine, Philipps University of Marburg, (Member of the German Center for Lung Research (DZL)), , Marburg, Germany.
Lukas NiekrenzDepartment of Pneumology and Intensive Care Medicine, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Beate Sigrid Müller *Institute of General Practice, University Clinic Frankfurt, Goethe University, Frankfurt am Main, Germany.
Sebastian Kuhn *Institute for Digital Medicine, Philipp's University Marburg and University Clinic Giessen & Marburg, Baldingerstrasse 1, 35043, Marburg, Germany. sebastian.kuhn@uni-marburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, infected outpatients were at risk of declining at home without themselves and their general practitioner (GP) noticing, above all due to silent hypoxemia. To support patients in quarantine, telemonitoring solutions were developed for primary care in several countries. However, evidence on patient perceptions of COVID-19 telemonitoring in primary care settings remains limited. This prospective study evaluates COVID-19 outpatients' experiences with and perception of the usability, utility and acceptance of an app-based telemonitoring in Germany, identifying key conditions for its successful implementation.

methodsTo support home-isolated COVID-19 patients remotely, eight GP practices in Germany implemented a multimodal telemonitoring system. Telemonitoring consisted of an app with connected sensors to remotely measure vital signs and symptoms, with data transmitted to a GP telemedicine platform. Between January to December 2021, 34 COVID-19 outpatients participated in telemonitoring. Telemonitoring duration was 28 days for acute infection or up to 12 weeks for prolonged/post-acute symptoms. Afterwards, patients participated in a mixed-methods evaluation about their experiences consisting of semi-structured telephone interviews and an in-house questionnaire. Interviews were analyzed using qualitative content analysis, questionnaires were analyzed descriptively.

resultsAll patients (34/34) completed the study (female = 22/34, 65%; median

conclusionsThis study demonstrates that app-based telemonitoring in primary care is a feasible, well-accepted intervention for COVID-19 outpatients, with patients perceiving it as valuable, supportive and reassuring. Findings emphasize the critical role of patient-centered design and strong support structures for successful telemonitoring integration into primary care. Lastly, these findings underscore the value of telemonitoring in pandemic preparedness, ensuring timely detection of patient deterioration and strengthening primary care resilience.

trial registrationThe study was registered with the German Clinical Trials Register (DRKS00024604). The study was approved by the Ethics Committee of Goethe University Frankfurt (No. 20-1023, 18.01.2021), and written informed consent was obtained from all participants.

Indexed as

COVID-19Patient Acceptance of Health CareTelemedicineAdultAgedFeasibility StudiesFemaleGeneral PracticeGermanyHumansMaleMiddle AgedProspective StudiesSARS-CoV-2Surveys and QuestionnairesCOVID-19Digital health applicationDigital medicineGeneral practitionersHealthcare providersPandemic preparednessQualitative interviewsRemote monitoringTelemonitoringWearables

Identifiers

PMID40968369
PMCPMC12447617

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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.