Evidence map›Paper›PMID 42684424›Full record

ArticleJMIR nursing2026

Radar-Based Contactless Monitoring in Different Inpatient Nursing Care Settings: Mixed Methods Feasibility Study.

Madeleine Ritter-Herschbach, Sebastian Hofstetter, Dominik Behr, Melina Hager, Burkhard Mueller, Patrick Jahn

Abstract read
In one paragraph

Article in JMIR nursing, 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

6 authors.

Madeleine Ritter-Herschbach *Health Service Research Working Group, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Ernst-Grube-Str. 40, Halle, Saxony-Anhalt, 06120, Germany, 49 03455571348.ORCID http://orcid.org/0000-0001-8736-025X
Sebastian Hofstetter *Health Service Research Working Group, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Ernst-Grube-Str. 40, Halle, Saxony-Anhalt, 06120, Germany, 49 03455571348.ORCID http://orcid.org/0000-0003-3110-2379
Dominik BehrHealth Service Research Working Group, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Ernst-Grube-Str. 40, Halle, Saxony-Anhalt, 06120, Germany, 49 03455571348.ORCID http://orcid.org/0009-0002-1755-4467
Melina HagerUniversity Clinic and Polyclinic for Geriatric Medicine, University Hospital in Halle, Halle, Saxony-Anhalt, Germany.ORCID http://orcid.org/0009-0000-8331-6008
Burkhard MuellerUniversity Clinic and Polyclinic for Internal Medicine II, University Hospital in Halle, Halle, Saxony-Anhalt, Germany.ORCID http://orcid.org/0009-0002-1921-2946
Patrick JahnHealth Service Research Working Group, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Ernst-Grube-Str. 40, Halle, Saxony-Anhalt, 06120, Germany, 49 03455571348.ORCID http://orcid.org/0000-0002-1533-6717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Monitoring of vital signs is a critical component of nursing care, facilitating the early detection of complications, enabling the observation of the progression of health status, and providing a foundation for diagnosis and therapeutic decision-making. It is instrumental in ensuring quality of care. Contactless measurement methods, such as radar-based sensors, have the potential to enable continuous monitoring of respiration, heart rate, and bed activity without disturbing or stressing vulnerable patients. Objective: The study investigates the feasibility, usability, acceptance, and implementation of a contactless digital vital-signs monitoring system. The objective is to ascertain the suitability of the device for incorporation into the workflow of nursing personnel and to assess implementation factors in an inpatient setting. Additionally, the study examines user acceptance and satisfaction among nursing staff. Methods: A total of 13 nursing staff members from geriatric and dialysis departments participated in this mixed methods pilot study. Following the installation of the technology, the participants underwent a 30-minute training period to become acquainted with its operation. Thereafter, the system was subjected to a 4-week trial period. Quantitative data were collected at 3 points in time using the Technology Usage Inventory and the System Usability Scale. Furthermore, measurement protocols were evaluated to compare the time required for the standard and contactless measurement methods. Qualitative data were collected subsequent to the conclusion of the trial through the implementation of focus group interviews. Ethical approval and informed consent were obtained. Results: The study results suggest that the average intention to use among the study participants (n=13) reached a relatively high level after 4 weeks (mean 85.5, SD 107.7). However, variation was observed when the 2 nursing wards were considered separately (geriatrics: 28.4 vs dialysis 199.8). The monitoring system was evaluated based on the System Usability Scale, which yielded a mean score of 74.5 (SD 10.5), indicating good usability. The nurses reported a perceived enhancement in their sense of security and monitoring oversight during routine care. Additionally, potential time savings were observed due to a reduction in disruptions to established processes. However, compared with conventional real-time monitoring, disadvantages were identified and technical requirements were defined. Conclusions: The use of contactless measurement in the assessment of vital signs holds considerable promise for enhancing the efficacy of nursing care, particularly in contexts where manual measurements have been the prevailing standard. In order to further explore technical capabilities in a nursing context, additional research needs to be conducted.

Indexed as

Nursing CareAdultFeasibility StudiesFemaleHumansInpatientsMaleMiddle AgedMonitoring, PhysiologicPilot ProjectsRemote Patient MonitoringVital Signsinpatient carenursing care processpatient safetyradar-based sensorsusabilityvital signs monitoring

Identifiers

PMID42684424
PMCPMC13524219

What OpenQuestion holds

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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.