Evidence map›Paper›PMID 39511444›Full record

ArticlePediatric research2025

Wearable biosensors for pediatric hospitals: a scoping review.

Areum Hyun, Mari Takashima, Stephanie Hall, Leonard Lee, Mitchell Dufficy, Halley Ruppel, Amanda Ullman

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Areum Hyun *School of Nursing and Midwifery, Griffith University, Nathan, Griffith, QLD, Australia. a.hyun@griffith.edu.au.ORCID http://orcid.org/0000-0002-3440-3823
Mari Takashima *School of Nursing, Midwifery and Social Work, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, Australia.
Stephanie HallSchool of Nursing, Midwifery and Social Work, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, Australia.
Leonard LeeSchool of Nursing, Midwifery and Social Work, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, Australia.
Mitchell DufficySchool of Nursing, Midwifery and Social Work, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, Australia.
Halley RuppelSchool of Nursing, University of Pennsylvania, Research Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Amanda UllmanSchool of Nursing and Midwifery, Griffith University, Nathan, Griffith, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As wearable biosensors are increasingly used in healthcare settings, this review aimed to identify the types of wearable biosensors used for neonate and pediatric patients and how these biosensors were clinically evaluated. A literature search was conducted using PubMed, CINAHL, Embase, Web of Science, and Cochrane. The studies published between January 2010 and February 2024 were included. Descriptive statistics were used to present counts and percentages of types, locations, clinical evaluation methods, and their results. Seventy-nine studies were included. 104 wearable sensors and 40 devices were identified. The most common type of biosensor was optoelectrical sensors (n = 40, 38.5%), and used to measure heart rate (n = 22, 19.0%). The clinical evaluation was tested by a combination of validity (n = 68, 86.1%) and reliability (n = 14, 17.7%). Only two-thirds of the wearable devices were validated or reported acceptable reliability. The majority of the biosensor studies (n = 51, 64.5%) did not report any complications related to wearable biosensors. The current literature has gaps regarding clinical evaluation and safety of wearable biosensor devices with interchangeable use of validity and reliability terms. There is a lack of comprehensive reporting on complications, highlighting the need for standardized guidelines in the clinical evaluation of biosensor medical devices. IMPACT: The most common types of biosensors in pediatric settings were optoelectrical sensors and electrical sensors. Only two-thirds of the wearable devices were validated or reported acceptable reliability, and more than half of the biosensor studies did not report whether they assessed any complications related to wearable biosensors. This review discovered significant gaps in safety and clinical validation reporting, emphasizing the need for standardized guidelines. The findings advocate for improved reporting clinical validation processes to enhance the safety of wearable biosensors in pediatric care.

Indexed as

Biosensing TechniquesHospitals, PediatricWearable Electronic DevicesChildChild, PreschoolHumansInfantInfant, NewbornMonitoring, PhysiologicReproducibility of Results

Identifiers

What OpenQuestion holds

Textmetadata
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.