Evidence map›Paper›PMID 35996862›Full record

Observational studyPediatric pulmonology2022

Performance and usability of a new mobile application for measuring respiratory rate in young children with acute lower respiratory infections.

Rebecca Spurr, Erin Ng, Frankline M Onchiri, Ben Rapha, Joyce Nakatumba-Nabende, Margaret Rosenfeld, Irene Najjingo, James W Stout, Rebecca Nantanda, Laura E Ellington

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Pediatric pulmonology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Rebecca SpurrDepartment of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0002-6982-3932
Erin NgCenter for Clinical and Translational Research, Seattle Children's Hospital, Seattle Children's Research Institute, Seattle, Washington, USA.
Frankline M OnchiriCenter for Clinical and Translational Research, Seattle Children's Hospital, Seattle Children's Research Institute, Seattle, Washington, USA.
Ben RaphaDepartment of Computer Science, Makerere University School of Computing and Information Technology, Kampala, Uganda.
Joyce Nakatumba-NabendeDepartment of Computer Science, Makerere University School of Computing and Information Technology, Kampala, Uganda.
Margaret RosenfeldDepartment of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA.
Irene NajjingoMakerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda.
James W StoutDepartment of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA.
Rebecca NantandaMakerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Laura E EllingtonDepartment of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0001-7904-4249
Makerere University · UGSeattle Children's Hospital · USUniversity of Washington · US

Funding

University of Washington Implementation Science Training Program (UW-ISTP)K12K12HL137940 · NHLBI · UNIVERSITY OF WASHINGTON · PI AU, DAVID H, CURTIS, J RANDALL · 2017 to 2021
$2.9M
NHLBI NIH HHS K12 HL137940
6 · The paper itself

Abstract

objectivesRespiratory rate (RR) measurement is critical to diagnosing pneumonia in resource-constrained settings, but accurate RR measurement is challenging. The acute lower respiratory illness treatment and evaluation (ALRITE) mobile phone application (app), designed to help healthcare workers (HCWs) manage pediatric respiratory illnesses, includes a semiautomated RR counter. This study aimed to evaluate the accuracy and usability of the ALRITE RR counter and a commercially available RR counter app, RRate, with a reference standard.

methodsThis was a cross-sectional observational study of HCWs. Participants used both apps to measure the RR of pediatric patients from standardized videos. The reference standard was determined by consensus of a manual 1-min count by two providers. We assessed agreement using Spearman's rank correlation coefficient and constructed Bland-Altman plots to determine bias and limits of agreement. Participants completed a usability survey.

resultsThirty-nine HCWs participated. The agreement between the apps and reference standard (Spearman's coefficient) was 0.83 (95% confidence interval [CI]: 0.78-0.87) for ALRITE and 0.62 (95% CI: 0.52-0.70) for RRate. ALRITE had a bias of -2 breaths/min (lower limit of agreement [LoA] -16 to +12) and RRate had a bias of -0.4 breaths/min (LoA -24 to +23) compared to the reference standard. Both apps had a poorer agreement at higher RRs. Based on usability survey responses, 95% found ALRITE easy to use.

conclusionsThe ALRITE RR counter has acceptable accuracy for counting RR in infants with respiratory distress, appears to be more accurate than a commercially available option, and was user-friendly. The ALRITE RR counter is a promising tool for meriting evaluation in real-world settings.

Indexed as

Cell PhoneMobile ApplicationsRespiratory Tract InfectionsChildChild, PreschoolCross-Sectional StudiesHumansInfantRespiratory Ratechildmobile healthpneumoniarespiratory rate

Identifiers

PMID35996862
PMCPMC10583740
OpenAlexW4292836756

What OpenQuestion holds

Textmetadata
LicenceTDM
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.