Evidence map›Paper›PMID 41613972›Full record

ReviewHealthcare technology letters

Respiratory Rate Measurement Using Mobile Applications in Healthcare Settings: A Scoping Review.

Lachlan Sallabank, James Oswald, Sian Willett, James Kelleher, Brian Haskins

Abstract readReview
In one paragraph

Review in Healthcare technology letters. 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

5 authors.

Lachlan SallabankCollege of Sport, Health and Engineering Victoria University Melbourne Victoria Australia.ORCID https://orcid.org/0009-0007-8244-5642
James OswaldAmbulance Victoria Melbourne Victoria Australia.
Sian WillettNew South Wales Ambulance Sydney NSW Australia.
James KelleherAmbulance Victoria Melbourne Victoria Australia.
Brian HaskinsCollege of Sport, Health and Engineering Victoria University Melbourne Victoria Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory rate (RR) is a strong indicator of clinical trajectory and forms the basis of patient care and assessment. However, clinicians often face barriers to easily obtaining a RR without inefficient methods or costly technology. To remedy this, several phone applications have emerged where clinicians can tap out each breath to calculate a RR. We aimed to map the available evidence for tap-per-breath applications used in healthcare settings. We searched for articles using multiple databases, including primary research articles that evaluated tap-per-breath apps in healthcare settings. 14 articles were selected for this review, mostly cross-sectional and hospital based. Most applications reported high usability and efficiency, although results of accuracy were mixed across the included literature. Median-based apps were more often an accurate measure of RR, however more research is required. Articles were commonly limited in generalisability due to poorly defined reference standards, small sample sizes, or using retrospective video recordings for patient assessment. Studies showed favourable usability and efficiency across the literature, with median-based apps demonstrating greater consistency and accuracy of RR measurements. Though the scope of this review and limited evidence restrict any far-reaching clinical implications until further evidence emerges.

Indexed as

medical devicepatient monitoringreviewRRvital signs

Identifiers

PMID41613972
PMCPMC12850432

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.